The described techniques are compared using publicly available datasets , such as Ripley ’s synthetic dataset and the multi-class iris dataset . We will also look at medical diagnosis and credit scoring where comprehensibility is a key requirement and even a regulatory recommendation . Our experiments show that the SVM rule extraction techniques lose only a small percentage in performance compared to SVMs and therefore rank at the top of comprehensible classification techniques . Cobb angle measurement is the gold standard for the idiopathic scoliosis assessment , and the measurement result is very important for the surgical planning and medical curing . Currently , the Cobb angle is measured manually by physicians . In this article , we apply the deep learning technique to medical field for the teeth detection and classification of dental periapical radiographs , which is important for the medical curing and postmortem identification . We detect teeth in an input X-ray image and distinguish them from different position . The medical immunology course is a main course for medical students . Both immunology theoretical and experimental teaching are abstract , complex , boring , tedious , together with the lake of teaching resources ( in particular , digital teaching resources ) , so it result in the immunology traditional teaching mode can not meet the needs of the development of the immunology curriculum teaching . In order to resolve these problems , a teaching platform based on Web technology for the course was built , including the design principles system structure , and functions about the platform . The platform was applied successfully for the medical immunology course and some benefits were gained : it not only can provide rich immunology materials for teachers and students , but also can inspirit students to learn autonomously . A Critical Review of the Literature . Abstract Nowadays , virtual patients are becoming increasingly essential for high-quality medical education since there are not enough actual patients available for educational and training purposes . However , development and curricular integration of virtual patients is challenging and time consuming . The educational environment has been increasingly acknowledged as vital for high-quality medical education . As a result , several instruments have been developed to measure medical educational environment quality . This system was tested in real-time and has an execution time of 55ms and 98 % accuracy . The stand alone system designed for Medical Telediagnosis Robot can be will be very fruitful for various biometric system using facial technology . As a result , it has been adopted by the first Shanghai assistance medical team in Wuhan 's Jinyintan Hospital , which was the first designated hospital to take COVID-19 patients in the world . The forecast has been used for preparing medical staff , intensive care unit ( ICU ) beds , ventilators , and other critical care medical resources and for supporting real-Time medical management decisions . In the perspective blue force tracking systems would take place machine to machine ( M2 M ) exchanging sensor network data . Primary I research for medical data monitoring sensor networks , paying special attention to IEEE 802.14.5 ZigBee . NPR hides unnecessary and overwhelming details of the world , and reveals and emphasizes important information of the scene . This could be particularly useful in some applications ( e.g. , AR/VR aided machine repair , or for virtual medical surgery ) or for certain AR games with artistic stylization . Achieving temporal coherence is a key challenge for all NPR algorithms . We discuss an example of the prospective assessment of Mobile Stroke Units within a Metropolitan Scenario . The project ProHTA is a part of the Centre of Excellence for Medical Technology Medical Valley EMN and is supported by the German Federal Ministry of Education and Research ( BMBF ) , project grant No. 01EX1013B . The primary advantage of the scheme is that it can be used to whatever sort of dataset whether it is a predefined dataset or not . Keywords-Medical diagnosis , knowledge discovery , naive bayes . I. INTRODUCTION Medical data mining focuses on various data mining techniques used particularly in medical application . Prostate segmentation is nevertheless an important task having clinical relevance both during diagnosis , where the volume of the prostate needs to be assessed , and during treatment planning , where the estimate of the anatomical boundary needs to be accurate . CNNs have been recently used for medical image segmentation . Early approaches obtain anatomy delineation in images or volumes by performing patch - wise image classification . The BASEMENT concept is holistic , in the sense that it covers application development , as well as the hardware and software that provide execution and communication support . The key constituents of the concept are : resource sharing ( multiplexing ) of processing and communication resources ; a guaranteed real time service for safety critical applications ; a best effort service for nonsafety critical applications ; a communication infrastructure providing efficient communication between distributed devices ; and a program development methodology allowing resource independent and application oriented development of application software . A real time kernel supporting BASEMENT has been developed , together with two design tools : a system simulator and an offline scheduler . It seems that the ANN measured the size of the margins ! Clearly , with ANNs we are dealing with ( nonlinear ) boxes that are blacker than usual and much more analysis and understanding of their functioning is required before they are turned loose on safety-critical applications . Meanwhile , of its type , this book is well worth buying for its coverage of an area that continues to expand at a rapid rate and continues to fascinate . Deep learning has become a hot research direction in the field of computer vision , and has been widely applied in the fields of intelligent transportation , intelligent security and so on . Because deep learning is vulnerable to adversarial samples , therefore poses a great threat to some safety-sensitive applications such as autonomous driving . In order to study the application of convolutional neural networks in adversarial sample generation and to lay the foundation for future research adversarial sample characteristics , we propose a convolutional neural network for generating adversarial samples , which can successfully fool the deep learning model . Therefore , the privacy preservation for data packets payload which it transmission over MANET has been a major part of concern . especially for safety-sensitive applications such as , privacy conference meetings , military applications , etc . In this paper it used symmetric cryptography to provide privacy for data packet by proposed modified AES based on five proposed which are : Key generation based on multi chaotic system , new SubByte , new ShiftRows , Add-two-XOR , Add-Shiftcycl . 2 Selection of System Architecture . A number of architecture types have been reviewed for their suitability to safety critical systems applications . The original survey was based on references from the early 1990s [ Refs.3 , 4 , 5 ] . Indeed , faults may have a considerable impact on the achievement of the system 's technical goal , on the security of human operators , on the integrity or on the profitability of the system itself , or on the integrity of the system 's environment . Practically , for safety intensive applications , every kind of system is concerned : embedded systems ( for civil or military applications ) , or huge complex installations , ranging from domestic systems to transportation , communication , industrial processes . Their design must take into account safety and dependability considerations , for economic , sociologic and human reasons . Designing for Safety Safety-critical applications include natural disast er early warning systems , or control centers for air a nd ship-traffic , or factory plants . Safety of such sys tems depends on properties of the system , and the users interacting with it . With the increasing use of extensive IT systems for sensitive or safety-critical applications , the matter of IT security is becoming more important . In order to be able to make sensible decisions a ... Such a method could be used to evaluate uncertainty ( by measuring agreement between the samples ) , perform active learning , or elicit direct human supervision about which sample is preferable . For example , in safety - critical applications , such as few - shot medical image classification , uncertainty is crucial for determining if the learned classifier should be trusted . When learning from such small amounts of data , uncertainty estimation can also help predict if additional data would be beneficial for learning and improving the estimate of the rewards . Computational real-time systems are increasingly used to control tasks in numerous application fields like aircraft , automotive and manufacturing process etc . Systems such as chemical and nuclear plant control , flight control systems , space missions , digital control , military systems , telecommunications , and multimedia systems all make use of real-time technologies . The most important attribute of real-time systems is that the correctness of such systems depends not only on the computed results but also on the time at which results are produced . Reduction of aircraft loads , arising as a result of manoeuvre commands or atmospheric turbulence , by means of active control is an important problem in flight control . A variety of methods of designing appropriate control systems to achieve such reduction are available , but not every method is effective . This domain-knowledge-aided approach is proved to significantly improve the learning efficiency . To solve the flight control problem , we then formulate a Markovian decision process with a proper reward function that enable the application of reinforcement learning theory . The state-of-the-art deep deterministic policy gradient algorithm is utilised to learn an action policy that maps the observed states to the autopilot gains . The problem of dynamic stiffness of hydraulic servomechanisms has often been recognized as a significant performance issue in a variety of applications , the most notable of which includes flight control actuation . A hydraulic servomechanism is said to be " stiff " if it exhibits acceptable rejection of force disturbances within the control bandwidth . Volume 1 . Abstract : This report describes six different research and development activities in flight control actuation . The activities are : ( 1 ) the development and test of a unique linear actuator sealing system for high-pressure systems , ( 2 ) the development and test of a digital servovalve using piezo-controlled high-speed solenoid valves , ( 3 ) the performance evaluation of an F-15 rudder actuator under applied loads , ( 4 ) the performance evaluation of a Mission Adaptive Wing section under different load conditions , ( 5 ) the evaluation of output impedance modification of an electrohydraulic actuator for flutter suppression , and ( 6 ) the development and test of a direct drive valve and electronics ( analog and digital ) for an F-16 Horizontal Tail/FlapeRon actuator . In a modern aircraft power technology system instead of using a fixed 400 Hz supply , a variable frequency supply ( 360 to 800 Hz ) is used , which is dependent on the aircraft speed . In MEA electrical energy feeds the aircraft subsystems such as the flight control actuation , environmental control system , and utility function instead of mechanical , hydraulic and pneumatic energy . Although the new technology of MEA goes towards variable frequency supply , one of the essential parts of the power distribution systems require DC power sources to feed different DC loads , and a portion of load may require a fixed 400 Hz supply . A hodograph-vector-control concept is applied to the optimization of variable sweep in maneuvering flight . For a flight-control mode which is basically manual , with only the sweep control adjusted automatically as a function of flight conditions and the conventional flight controls , the hodograph approach leads to sweep commands dependent on Mach number , lift coefficient , and throttle/speed-brake setting . Some computations for an example are presented . Station-keeping is a difficult flight control mode for helicopters since they have little forward speed and are dynamically unstable in that mode . In this paper the designs for a fuzzy-logic controller and neural-network ( NN ) controllers which are used to provide acceptable station-keeping performance for a single main rotor helicopter are presented . ” All these definitions lead us to realize that these Robots are not intelligent machines so they seek our instructions to function . The sub category “ mobile robots ” serve us from domestic applications , exploration and mapping , traffic control systems , aero space applications , flight controlling and in network centric warfare . Airship-based ground-airborne time domain electromagnetic system enjoys high depth of prospecting and spatial resolution , as well as outstanding detection efficiency and easy flight controlling . However , due to low-altitude flying is markedly affected by wind direction , air flow , landform , and the difference of temperature filed around ground surface , the front-fixed receiving coil would cut earth magnetic field , which results from changes of the altitude , track , and gesture of the airship , and causes electromagnetic and moving noises , baseline drift as well . The invention provides a flight control method of an unmanned aircraft . The method includes the following steps : obtaining pilot information of a pilot ; obtaining flight control authority corresponding to the pilot information according to the pilot information ; starting a corresponding flight control function according to the flight control authority so that the pilot carries out flight control operation of an unmanned aircraft through the flight control function ; and making a record of the flight control operation and making an associated record of the corresponding pilot information so that flight record information is obtained . The invention also provides a flight control device of an unmanned aircraft . Associated recording of the flight control operation , the pilot information and information of the unmanned aircraft can be made to comprehensively monitor the flight record information of the unmanned aircraft . The time-to-contact ττ theory posits that purposeful actions can be conducted by coupling the actor ’s motion onto the so-called ττ guides generated internally by their central nervous system . Although significant advances have been made in the application of ττ for flight control purposes , little research has been conducted to investigate how pilots are able to adapt their ττ-guidance strategy to different aircraft dynamics , or how a ττ-guide-based pilot – aircraft model might be used to represent control behavior . This paper reports on the development of such a model to characterize the adaptation of pilot guidance to variations in aircraft dynamics using data obtained from a clinical pilot-in-the-loop flight simulation experiment . In this paper a Fault Tolerant system for the attitude estimation of an Unmanned Aerial Vehicle ( UAV ) using low cost magnetometers , accelerometers , and gyroscopes , implemented in an Inertial Measurement Unit ( IMU ) is proposed . An approach based on the Unscented Kalman Filter ( UKF ) for Detection , Isolation and Reconfiguration is investigated in the presence of a Hardware Duplex IMU mounted on board for flight control purposes . A state automaton , with comparative logics , detects if anomalies occurr on one of the two IMUs ; then based on a comparison between the measured variables and their UKF estimations , the fault is isolated and identified . This paper introduces the three key pillars for the avionics platform of the future , and presents the associated challenges . The term “ Avionics Platform ” addresses here includes ( 1 ) all the embedded systems required by an aircraft to fly ( whatever the aircraft is , commercial , fighter , transport , drone or flying cabs ) and ( 2 ) all the embedded critical and less critical functions required for flying ( flight command control , propulsion management ) , piloting ( fuel management , anti-icing , TCAS , TAWS , etc . ) , utilities ( doors and slides , toilets , air conditioning , etc . ) , maintenance , and connectivity . AI , Connectivity and Cyber-Security in Avionics are the three pillar and main challenges we face . The real-time workstation usually is subject to demanding time constraints that span several orders of magnitude . Event recording and data processing for servomotor control or flight system control may be required every millisecond or so , whereas tasks involving changes in product demands or material availability may be required only daily . Other time scales of interest fall within this range , from the time it takes a mechanical arm to transfer a machine part from a conveyor to an assembly point to the response times of large-capacity chemical processes . Inter-vehicular communications is one of the main support technologies for the future autonomous cars . Safety applications shall greatly benefit from this technology . To this end , this paper presents an open source inter-vehicular communication system and the design of a safety application , i.e. , emergency braking warning . However , due to limited tasks performed in the application layer , the reliability of these applications reduces substantially to the reliability of the underlying communication system . In non-safety applications , on the other hand , many different tasks are performed and decisions are made in the application layer . To gain a holistic view of the impacts of such diverse tasks and decisions on the efficiency of information dissemination as the primary task of these applications , it is required that a comprehensive application framework be designed in the first place . With the launch of the AIS326DQ , its first AECQ100-qualified 3-axis accelerometer , STMicroelectronics is addressing non-safety applications like vehicle alarms , tracking and monitoring , black-box systems , and navigation assistance . Government regulations , insurance requirements , and a general increasing user demand for car security are the main driving factors of this high-CAGR market . In some applications , computer system failures can lead to injury or loss of human life . Even in non-safety-critical applications , computer failures are highly undesirable since they can lead to expensive down-times and repair costs . EDCC aims to be a high quality conference series with a rigorous paper review process . Abstract Analytical fault detection algorithms have the potential to reduce the size , power and weight of safety-critical aerospace systems . Analytical redundancy has been successfully applied in many non-safety critical applications . However , acceptance for aerospace applications will require new methods to rigorously certify the impact of such algorithms on the overall system reliability . Communication networks in vehicles today serve a lot of non-safety-critical applications , like body electronics or comfort functions . Introducing safety-critical applications , e.g. brake-by-wire , steer-by-wire , etc . , without any mechanical or hydraulic backup demands new requirements for the underlying communication system . Railways have already introduced satellite-based localization systems for non-safety related applications . Driven by economic reasons , the use of these systems for new services and , in particular , their introduction in signaling system is seriously investigated today and tested all around the world . The invention also provides a control panel including the touch screen , a medical imaging appliance including the control panel , and a method for operating the circuit arrangement . To date , the use of touch screens has been limited to non-safety-relevant applications , since the required safety integrity may not be achieved with standard commercial touch-sensitive screens . The addition of resistors allows error disclosure to be provided immediately for a substantial proportion of errors in an actuating circuit . GNSS ( Global navigation satellite system ) has shown its ability on the non-safety relevant applications in various applications . In railway domain , safety is the utmost concern , GNSS-based train localization unit is the carrier of safe localization . However , IEEE 802.11p transceivers can considerably improve their robustness by incorporating MIMO transmission methods . Moreover , multiple antennas can also be used to increase the data transfer rate of IEEE 802.11p transceivers , a requirement necessary to implement , for instance , non-critical safety applications . In this article we describe the design and development of a multiple-antenna IEEE 802.11p performance evaluation system made of two IEEE 802.11p software-based transceivers and two different , flexible low-cost FPGA-based multi-antenna channel emulators . The FTCOM layer implements different agreement functions that detect and mask errors sent either by one node using replicated communication channels or by redundant nodes . DECOS facilitates a move from a federated to an integrated architecture which means that non-safety and safety-related applications run on the same hardware infrastructure and use the same network . Due to the increased amount of data caused by the integration , the FTCOM is partly implemented in hardware to speed up packing and unpacking of messages . This presents another privacy concern in the sense that these devices may expose information related to the request . In this paper we present a novel Cooperative Caching system in support of non-safety based applications ( such as the many location based services ) in which devices monitor the relative risk associated with each of its neighbors . Based on this information , requesting devices select and query specific neighbors that present little risk while avoiding neighbors that might present higher risk . A three-dimensional CFD code CONV-3D is being developed for mathematical modeling of the fluid dynamics of elements of nuclear power facilities . The code is based on developed algorithms with low artificial diffusion , for which discrete approximations are constructed using finite-volume and staggered grid methods . DISCUSSION Since the construction of most nuclear power generating stations , engineering thermoplastics have replaced many original materials of construction , manufacturer designs have changed significantly and product specifications have evolved to reflect modem product requirements . Whereas many material changes provide improved thermal stability , most manufacturing changes add difficulty to the qualification process . The IEEE Computer Society has standards addressing software . The P-7 - 4.3.2 , IEEE standard criteria for digital computers in safety systems of nuclear power generating stations , which brings together standards from both groups to address the integration of computer hardware and software with noncomputer hardware , is discussed . P-7 - 4.3.2 is being developed to show the interrelationship of software and hardware requirements as they apply throughout the development process . On September 15/sup th/ of 1993 the IEEE standards board approved IEEE std . 7 - 4.3.2 - 1993 , IEEE standard for digital computers in safety systems of nuclear power generating stations . This paper is an introduction to Annex D of this document which concerns the commercial grade dedication of existing computers or new non-1E computers.<<ETX > > Nuclear safety is the main problem that is committed to solving since nuclear power industry appeared . The safety problem of nuclear electrical power plant draws wide attention in the world after the Fukushima accident . While the system of nuclear electrical power plant is very complicated and there is huge information for monitoring , what is directly monitored during the operation is the local information of nuclear electrical power plant and there are not enough materials about the operating state of nuclear electrical power plant . For solving the above problem , this article proposes an evaluation model for the health status of nuclear electrical power plant based on CAE theory and GSN demonstration method and a visual analysis system for evaluating the health status when nuclear power is operated is suggested according to this evaluation model . This evaluation module connects the main safety functions , subfunctions and basic monitoring information together as an evaluation structure of hierarchical nodes with weight allocation and quantity information of health assessment according to the reactivity control , core cooling and the shield for radioactive substance . Reliable estimation of surface fault displacements is crucial to the safety of nuclear power plant facilities . It is necessary to develop a numerical method for the estimation . In this study , a high-sensitivity Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT)-based ultrasonic transducer was developed for detecting defective pressurized water reactor ( PWR ) fuel rods . To apply the PMN-PT substance to nuclear power plant facilities , given the need to guarantee their robustness against radioactive materials , the effects of neutron irradiation on PMN-PT were investigated . As a result , the major piezo-electric constants of PMN-PT , such as the electrical impedance , dielectric constant , and piezo-electric charge constant , were found to vary within acceptable ranges . This chapter deals with simulation , a very powerful tool in designing , constructing and operating nuclear power generating facilities . There are very different types of power plants , and the examples mentioned in this chapter originate from experience with water cooled and water moderated thermal reactors , based on fission of uranium-235 . Finally , we present several recent developments in intelligent robotic systems , and describe their applications . Specific examples involving maintenance and repairs in nuclear power generation plants are discussed . The developed mathematical model allows calculating temperature fields in products and also expenses of energy necessary to create corresponding thermal conditions , proceeding from the general characteristics of the phenomenon . Numerical methods of research of the power processes , developed in the present work , have found successful application in hydrodynamics and heat exchange calculations in nuclear power installations . The heat exchange analysis in a skin of warm-blooded animals and people became not less important appendix of numerical methods . When a target application lacks neutronically similar benchmark experiments , validation studies must provide justification to the regulator that the impact of modeling and simulation limitations is well understood for the application and often must provide additional subcritical margin to ensure safe operating conditions . This study estimated the computational bias in the critical eigenvalue for several criticality safety applications supported by only a few relevant benchmark experiments . The accuracy of the following three methods for predicting computational biases was evaluated : the Upper Subcritical Limit STATisticS ( USLSTATS ) trending analysis method ; the Whisper nonparametric method ; and TSURFER , which is based on the generalized linear least-squares technique . The intent of this work is to present the results and to describe the procedures utilized to evaluate 233U and 19F for criticality safety applications . The evaluation was done in the resolved resonance region using the reduced Reich‐Moore R‐matrix formalism . The inverse sensitivity/uncertainty quantification ( IS/UQ ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimator ( INSURE ) module of the AMPX cross section processing system [ M.E. Dunn and N.M. Greene , “ AMPX-2000 : A Cross-Section Processing System for Generating Nuclear Data for Criticality Safety Applications , ” Trans . Am . VME bus based dual redundant fault tolerant computer based systems are used in various safety critical and safety related applications of Prototype Fast Breeder Reactor ( PFBR ) , Kalpakkam . As a case study , this paper describes the hardware and software architecture along with implementation for Fresh Subassembly handling system of PFBR , which is classified as safety related system as per plant safety classification . Jamming-resistant broadcast communication is crucial for safety-critical applications such as emergency alert broadcasts or the dissemination of navigation signals in adversarial settings . These applications share the need for guaranteed authenticity and availability of messages which are broadcasted by base stations to a large and unknown number of ( potentially untrusted ) receivers . A browser based protocol is the chief security component of a safety critical web application , such as e-banking . Accordingly , browser based protocols need to be thoroughly verified in order to guarantee they are up to comply with key security properties . But there is not a object-oriented analysis and design methodology using RBAC of J2EE and object-relational database for security . In this paper , the unified object-oriented analysis and design methodology is developed for security-critical web application systems based on J2EE and object-relational database . We used UMLsec and RBAC of object-relational database and J2EE for this methodology . Ensuring the integrity of embedded programmable logic controllers ( PLCs ) is critical for safe operation of industrial con-trol systems . In particular , a cyber-attack could manipulatecontrol logic running on the PLCs to bring the process ofsafety-critical application into unsafe states . Unfortunately , PLCs are typically not equipped with hardware support thatallows the use of techniques such as remote attestation to ver-ify the integrity of the logic code . The paper discusses this framework not only from the viewpoint of framework builders , but also end-user developers . In this context , it demonstrates how to use that approach for a safety and security-critical application with Internet and ZigBee . : We study the problem of computing the forward “ reachable tube ” , defined as a tem- poral union of the “ reach sets ” of a dynamical system , or the sets of states the system can attain in future instances of time when subject to set-valued uncertainties in its initial conditions , controls , and exogenous disturbances . Fast computation of the reachable tubes for uncertain dynamical systems is essential for safety-critical applica- tions such as autonomous driving and unmanned aerial systems traffic management where much of the high-level decision making ( e.g. , lane changing in autonomous driving or switching between motion primitives during flight of an unmanned aerial system ) critically depends on the reachable tubes . At the same time , computation of the reachable tubes is difficult in general , due to the high-dimensional , non-convex nature of the problem . Adversarial examples are considered a serious issue for safety critical applications of AI , such as finance , autonomous vehicle control and medicinal applications . Though significant work has resulted in increased robustness of systems to these attacks , systems are still vulnerable to well-crafted attacks .
The described techniques are compared using publicly available datasets , such as Ripley ’s synthetic dataset and the multi-class iris dataset . We will also look at medical diagnosis and credit scoring where comprehensibility is a key requirement and even a regulatory recommendation . Our experiments show that the SVM rule extraction techniques lose only a small percentage in performance compared to SVMs and therefore rank at the top of comprehensible classification techniques .
Cobb angle measurement is the gold standard for the idiopathic scoliosis assessment , and the measurement result is very important for the surgical planning and medical curing . Currently , the Cobb angle is measured manually by physicians .
In this article , we apply the deep learning technique to medical field for the teeth detection and classification of dental periapical radiographs , which is important for the medical curing and postmortem identification . We detect teeth in an input X-ray image and distinguish them from different position .
The medical immunology course is a main course for medical students . Both immunology theoretical and experimental teaching are abstract , complex , boring , tedious , together with the lake of teaching resources ( in particular , digital teaching resources ) , so it result in the immunology traditional teaching mode can not meet the needs of the development of the immunology curriculum teaching . In order to resolve these problems , a teaching platform based on Web technology for the course was built , including the design principles system structure , and functions about the platform . The platform was applied successfully for the medical immunology course and some benefits were gained : it not only can provide rich immunology materials for teachers and students , but also can inspirit students to learn autonomously .
A Critical Review of the Literature . Abstract Nowadays , virtual patients are becoming increasingly essential for high-quality medical education since there are not enough actual patients available for educational and training purposes . However , development and curricular integration of virtual patients is challenging and time consuming .
The educational environment has been increasingly acknowledged as vital for high-quality medical education . As a result , several instruments have been developed to measure medical educational environment quality .
This system was tested in real-time and has an execution time of 55ms and 98 % accuracy . The stand alone system designed for Medical Telediagnosis Robot can be will be very fruitful for various biometric system using facial technology .
As a result , it has been adopted by the first Shanghai assistance medical team in Wuhan 's Jinyintan Hospital , which was the first designated hospital to take COVID-19 patients in the world . The forecast has been used for preparing medical staff , intensive care unit ( ICU ) beds , ventilators , and other critical care medical resources and for supporting real-Time medical management decisions .
In the perspective blue force tracking systems would take place machine to machine ( M2 M ) exchanging sensor network data . Primary I research for medical data monitoring sensor networks , paying special attention to IEEE 802.14.5 ZigBee .
NPR hides unnecessary and overwhelming details of the world , and reveals and emphasizes important information of the scene . This could be particularly useful in some applications ( e.g. , AR/VR aided machine repair , or for virtual medical surgery ) or for certain AR games with artistic stylization . Achieving temporal coherence is a key challenge for all NPR algorithms .
We discuss an example of the prospective assessment of Mobile Stroke Units within a Metropolitan Scenario . The project ProHTA is a part of the Centre of Excellence for Medical Technology Medical Valley EMN and is supported by the German Federal Ministry of Education and Research ( BMBF ) , project grant No. 01EX1013B .
The primary advantage of the scheme is that it can be used to whatever sort of dataset whether it is a predefined dataset or not . Keywords-Medical diagnosis , knowledge discovery , naive bayes . I. INTRODUCTION Medical data mining focuses on various data mining techniques used particularly in medical application .
Prostate segmentation is nevertheless an important task having clinical relevance both during diagnosis , where the volume of the prostate needs to be assessed , and during treatment planning , where the estimate of the anatomical boundary needs to be accurate . CNNs have been recently used for medical image segmentation . Early approaches obtain anatomy delineation in images or volumes by performing patch - wise image classification .
The BASEMENT concept is holistic , in the sense that it covers application development , as well as the hardware and software that provide execution and communication support . The key constituents of the concept are : resource sharing ( multiplexing ) of processing and communication resources ; a guaranteed real time service for safety critical applications ; a best effort service for nonsafety critical applications ; a communication infrastructure providing efficient communication between distributed devices ; and a program development methodology allowing resource independent and application oriented development of application software . A real time kernel supporting BASEMENT has been developed , together with two design tools : a system simulator and an offline scheduler .
It seems that the ANN measured the size of the margins ! Clearly , with ANNs we are dealing with ( nonlinear ) boxes that are blacker than usual and much more analysis and understanding of their functioning is required before they are turned loose on safety-critical applications . Meanwhile , of its type , this book is well worth buying for its coverage of an area that continues to expand at a rapid rate and continues to fascinate .
Deep learning has become a hot research direction in the field of computer vision , and has been widely applied in the fields of intelligent transportation , intelligent security and so on . Because deep learning is vulnerable to adversarial samples , therefore poses a great threat to some safety-sensitive applications such as autonomous driving . In order to study the application of convolutional neural networks in adversarial sample generation and to lay the foundation for future research adversarial sample characteristics , we propose a convolutional neural network for generating adversarial samples , which can successfully fool the deep learning model .
Therefore , the privacy preservation for data packets payload which it transmission over MANET has been a major part of concern . especially for safety-sensitive applications such as , privacy conference meetings , military applications , etc . In this paper it used symmetric cryptography to provide privacy for data packet by proposed modified AES based on five proposed which are : Key generation based on multi chaotic system , new SubByte , new ShiftRows , Add-two-XOR , Add-Shiftcycl .
2 Selection of System Architecture . A number of architecture types have been reviewed for their suitability to safety critical systems applications . The original survey was based on references from the early 1990s [ Refs.3 , 4 , 5 ] .
Indeed , faults may have a considerable impact on the achievement of the system 's technical goal , on the security of human operators , on the integrity or on the profitability of the system itself , or on the integrity of the system 's environment . Practically , for safety intensive applications , every kind of system is concerned : embedded systems ( for civil or military applications ) , or huge complex installations , ranging from domestic systems to transportation , communication , industrial processes . Their design must take into account safety and dependability considerations , for economic , sociologic and human reasons .
Designing for Safety Safety-critical applications include natural disast er early warning systems , or control centers for air a nd ship-traffic , or factory plants . Safety of such sys tems depends on properties of the system , and the users interacting with it .
With the increasing use of extensive IT systems for sensitive or safety-critical applications , the matter of IT security is becoming more important . In order to be able to make sensible decisions a ...
Such a method could be used to evaluate uncertainty ( by measuring agreement between the samples ) , perform active learning , or elicit direct human supervision about which sample is preferable . For example , in safety - critical applications , such as few - shot medical image classification , uncertainty is crucial for determining if the learned classifier should be trusted . When learning from such small amounts of data , uncertainty estimation can also help predict if additional data would be beneficial for learning and improving the estimate of the rewards .
Computational real-time systems are increasingly used to control tasks in numerous application fields like aircraft , automotive and manufacturing process etc . Systems such as chemical and nuclear plant control , flight control systems , space missions , digital control , military systems , telecommunications , and multimedia systems all make use of real-time technologies . The most important attribute of real-time systems is that the correctness of such systems depends not only on the computed results but also on the time at which results are produced .
Reduction of aircraft loads , arising as a result of manoeuvre commands or atmospheric turbulence , by means of active control is an important problem in flight control . A variety of methods of designing appropriate control systems to achieve such reduction are available , but not every method is effective .
This domain-knowledge-aided approach is proved to significantly improve the learning efficiency . To solve the flight control problem , we then formulate a Markovian decision process with a proper reward function that enable the application of reinforcement learning theory . The state-of-the-art deep deterministic policy gradient algorithm is utilised to learn an action policy that maps the observed states to the autopilot gains .
The problem of dynamic stiffness of hydraulic servomechanisms has often been recognized as a significant performance issue in a variety of applications , the most notable of which includes flight control actuation . A hydraulic servomechanism is said to be " stiff " if it exhibits acceptable rejection of force disturbances within the control bandwidth .
Volume 1 . Abstract : This report describes six different research and development activities in flight control actuation . The activities are : ( 1 ) the development and test of a unique linear actuator sealing system for high-pressure systems , ( 2 ) the development and test of a digital servovalve using piezo-controlled high-speed solenoid valves , ( 3 ) the performance evaluation of an F-15 rudder actuator under applied loads , ( 4 ) the performance evaluation of a Mission Adaptive Wing section under different load conditions , ( 5 ) the evaluation of output impedance modification of an electrohydraulic actuator for flutter suppression , and ( 6 ) the development and test of a direct drive valve and electronics ( analog and digital ) for an F-16 Horizontal Tail/FlapeRon actuator .
In a modern aircraft power technology system instead of using a fixed 400 Hz supply , a variable frequency supply ( 360 to 800 Hz ) is used , which is dependent on the aircraft speed . In MEA electrical energy feeds the aircraft subsystems such as the flight control actuation , environmental control system , and utility function instead of mechanical , hydraulic and pneumatic energy . Although the new technology of MEA goes towards variable frequency supply , one of the essential parts of the power distribution systems require DC power sources to feed different DC loads , and a portion of load may require a fixed 400 Hz supply .
A hodograph-vector-control concept is applied to the optimization of variable sweep in maneuvering flight . For a flight-control mode which is basically manual , with only the sweep control adjusted automatically as a function of flight conditions and the conventional flight controls , the hodograph approach leads to sweep commands dependent on Mach number , lift coefficient , and throttle/speed-brake setting . Some computations for an example are presented .
Station-keeping is a difficult flight control mode for helicopters since they have little forward speed and are dynamically unstable in that mode . In this paper the designs for a fuzzy-logic controller and neural-network ( NN ) controllers which are used to provide acceptable station-keeping performance for a single main rotor helicopter are presented .
” All these definitions lead us to realize that these Robots are not intelligent machines so they seek our instructions to function . The sub category “ mobile robots ” serve us from domestic applications , exploration and mapping , traffic control systems , aero space applications , flight controlling and in network centric warfare .
Airship-based ground-airborne time domain electromagnetic system enjoys high depth of prospecting and spatial resolution , as well as outstanding detection efficiency and easy flight controlling . However , due to low-altitude flying is markedly affected by wind direction , air flow , landform , and the difference of temperature filed around ground surface , the front-fixed receiving coil would cut earth magnetic field , which results from changes of the altitude , track , and gesture of the airship , and causes electromagnetic and moving noises , baseline drift as well .
The invention provides a flight control method of an unmanned aircraft . The method includes the following steps : obtaining pilot information of a pilot ; obtaining flight control authority corresponding to the pilot information according to the pilot information ; starting a corresponding flight control function according to the flight control authority so that the pilot carries out flight control operation of an unmanned aircraft through the flight control function ; and making a record of the flight control operation and making an associated record of the corresponding pilot information so that flight record information is obtained . The invention also provides a flight control device of an unmanned aircraft . Associated recording of the flight control operation , the pilot information and information of the unmanned aircraft can be made to comprehensively monitor the flight record information of the unmanned aircraft .
The time-to-contact ττ theory posits that purposeful actions can be conducted by coupling the actor ’s motion onto the so-called ττ guides generated internally by their central nervous system . Although significant advances have been made in the application of ττ for flight control purposes , little research has been conducted to investigate how pilots are able to adapt their ττ-guidance strategy to different aircraft dynamics , or how a ττ-guide-based pilot – aircraft model might be used to represent control behavior . This paper reports on the development of such a model to characterize the adaptation of pilot guidance to variations in aircraft dynamics using data obtained from a clinical pilot-in-the-loop flight simulation experiment .
In this paper a Fault Tolerant system for the attitude estimation of an Unmanned Aerial Vehicle ( UAV ) using low cost magnetometers , accelerometers , and gyroscopes , implemented in an Inertial Measurement Unit ( IMU ) is proposed . An approach based on the Unscented Kalman Filter ( UKF ) for Detection , Isolation and Reconfiguration is investigated in the presence of a Hardware Duplex IMU mounted on board for flight control purposes . A state automaton , with comparative logics , detects if anomalies occurr on one of the two IMUs ; then based on a comparison between the measured variables and their UKF estimations , the fault is isolated and identified .
This paper introduces the three key pillars for the avionics platform of the future , and presents the associated challenges . The term “ Avionics Platform ” addresses here includes ( 1 ) all the embedded systems required by an aircraft to fly ( whatever the aircraft is , commercial , fighter , transport , drone or flying cabs ) and ( 2 ) all the embedded critical and less critical functions required for flying ( flight command control , propulsion management ) , piloting ( fuel management , anti-icing , TCAS , TAWS , etc . ) , utilities ( doors and slides , toilets , air conditioning , etc . ) , maintenance , and connectivity . AI , Connectivity and Cyber-Security in Avionics are the three pillar and main challenges we face .
The real-time workstation usually is subject to demanding time constraints that span several orders of magnitude . Event recording and data processing for servomotor control or flight system control may be required every millisecond or so , whereas tasks involving changes in product demands or material availability may be required only daily . Other time scales of interest fall within this range , from the time it takes a mechanical arm to transfer a machine part from a conveyor to an assembly point to the response times of large-capacity chemical processes .
Inter-vehicular communications is one of the main support technologies for the future autonomous cars . Safety applications shall greatly benefit from this technology . To this end , this paper presents an open source inter-vehicular communication system and the design of a safety application , i.e. , emergency braking warning .
However , due to limited tasks performed in the application layer , the reliability of these applications reduces substantially to the reliability of the underlying communication system . In non-safety applications , on the other hand , many different tasks are performed and decisions are made in the application layer . To gain a holistic view of the impacts of such diverse tasks and decisions on the efficiency of information dissemination as the primary task of these applications , it is required that a comprehensive application framework be designed in the first place .
With the launch of the AIS326DQ , its first AECQ100-qualified 3-axis accelerometer , STMicroelectronics is addressing non-safety applications like vehicle alarms , tracking and monitoring , black-box systems , and navigation assistance . Government regulations , insurance requirements , and a general increasing user demand for car security are the main driving factors of this high-CAGR market .
In some applications , computer system failures can lead to injury or loss of human life . Even in non-safety-critical applications , computer failures are highly undesirable since they can lead to expensive down-times and repair costs . EDCC aims to be a high quality conference series with a rigorous paper review process .
Abstract Analytical fault detection algorithms have the potential to reduce the size , power and weight of safety-critical aerospace systems . Analytical redundancy has been successfully applied in many non-safety critical applications . However , acceptance for aerospace applications will require new methods to rigorously certify the impact of such algorithms on the overall system reliability .
Communication networks in vehicles today serve a lot of non-safety-critical applications , like body electronics or comfort functions . Introducing safety-critical applications , e.g. brake-by-wire , steer-by-wire , etc . , without any mechanical or hydraulic backup demands new requirements for the underlying communication system .
Railways have already introduced satellite-based localization systems for non-safety related applications . Driven by economic reasons , the use of these systems for new services and , in particular , their introduction in signaling system is seriously investigated today and tested all around the world .
The invention also provides a control panel including the touch screen , a medical imaging appliance including the control panel , and a method for operating the circuit arrangement . To date , the use of touch screens has been limited to non-safety-relevant applications , since the required safety integrity may not be achieved with standard commercial touch-sensitive screens . The addition of resistors allows error disclosure to be provided immediately for a substantial proportion of errors in an actuating circuit .
GNSS ( Global navigation satellite system ) has shown its ability on the non-safety relevant applications in various applications . In railway domain , safety is the utmost concern , GNSS-based train localization unit is the carrier of safe localization .
However , IEEE 802.11p transceivers can considerably improve their robustness by incorporating MIMO transmission methods . Moreover , multiple antennas can also be used to increase the data transfer rate of IEEE 802.11p transceivers , a requirement necessary to implement , for instance , non-critical safety applications . In this article we describe the design and development of a multiple-antenna IEEE 802.11p performance evaluation system made of two IEEE 802.11p software-based transceivers and two different , flexible low-cost FPGA-based multi-antenna channel emulators .
The FTCOM layer implements different agreement functions that detect and mask errors sent either by one node using replicated communication channels or by redundant nodes . DECOS facilitates a move from a federated to an integrated architecture which means that non-safety and safety-related applications run on the same hardware infrastructure and use the same network . Due to the increased amount of data caused by the integration , the FTCOM is partly implemented in hardware to speed up packing and unpacking of messages .
This presents another privacy concern in the sense that these devices may expose information related to the request . In this paper we present a novel Cooperative Caching system in support of non-safety based applications ( such as the many location based services ) in which devices monitor the relative risk associated with each of its neighbors . Based on this information , requesting devices select and query specific neighbors that present little risk while avoiding neighbors that might present higher risk .
A three-dimensional CFD code CONV-3D is being developed for mathematical modeling of the fluid dynamics of elements of nuclear power facilities . The code is based on developed algorithms with low artificial diffusion , for which discrete approximations are constructed using finite-volume and staggered grid methods .
DISCUSSION Since the construction of most nuclear power generating stations , engineering thermoplastics have replaced many original materials of construction , manufacturer designs have changed significantly and product specifications have evolved to reflect modem product requirements . Whereas many material changes provide improved thermal stability , most manufacturing changes add difficulty to the qualification process .
The IEEE Computer Society has standards addressing software . The P-7 - 4.3.2 , IEEE standard criteria for digital computers in safety systems of nuclear power generating stations , which brings together standards from both groups to address the integration of computer hardware and software with noncomputer hardware , is discussed . P-7 - 4.3.2 is being developed to show the interrelationship of software and hardware requirements as they apply throughout the development process .
On September 15/sup th/ of 1993 the IEEE standards board approved IEEE std . 7 - 4.3.2 - 1993 , IEEE standard for digital computers in safety systems of nuclear power generating stations . This paper is an introduction to Annex D of this document which concerns the commercial grade dedication of existing computers or new non-1E computers.<<ETX > >
Nuclear safety is the main problem that is committed to solving since nuclear power industry appeared . The safety problem of nuclear electrical power plant draws wide attention in the world after the Fukushima accident . While the system of nuclear electrical power plant is very complicated and there is huge information for monitoring , what is directly monitored during the operation is the local information of nuclear electrical power plant and there are not enough materials about the operating state of nuclear electrical power plant . For solving the above problem , this article proposes an evaluation model for the health status of nuclear electrical power plant based on CAE theory and GSN demonstration method and a visual analysis system for evaluating the health status when nuclear power is operated is suggested according to this evaluation model . This evaluation module connects the main safety functions , subfunctions and basic monitoring information together as an evaluation structure of hierarchical nodes with weight allocation and quantity information of health assessment according to the reactivity control , core cooling and the shield for radioactive substance .
Reliable estimation of surface fault displacements is crucial to the safety of nuclear power plant facilities . It is necessary to develop a numerical method for the estimation .
In this study , a high-sensitivity Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT)-based ultrasonic transducer was developed for detecting defective pressurized water reactor ( PWR ) fuel rods . To apply the PMN-PT substance to nuclear power plant facilities , given the need to guarantee their robustness against radioactive materials , the effects of neutron irradiation on PMN-PT were investigated . As a result , the major piezo-electric constants of PMN-PT , such as the electrical impedance , dielectric constant , and piezo-electric charge constant , were found to vary within acceptable ranges .
This chapter deals with simulation , a very powerful tool in designing , constructing and operating nuclear power generating facilities . There are very different types of power plants , and the examples mentioned in this chapter originate from experience with water cooled and water moderated thermal reactors , based on fission of uranium-235 .
Finally , we present several recent developments in intelligent robotic systems , and describe their applications . Specific examples involving maintenance and repairs in nuclear power generation plants are discussed .
The developed mathematical model allows calculating temperature fields in products and also expenses of energy necessary to create corresponding thermal conditions , proceeding from the general characteristics of the phenomenon . Numerical methods of research of the power processes , developed in the present work , have found successful application in hydrodynamics and heat exchange calculations in nuclear power installations . The heat exchange analysis in a skin of warm-blooded animals and people became not less important appendix of numerical methods .
When a target application lacks neutronically similar benchmark experiments , validation studies must provide justification to the regulator that the impact of modeling and simulation limitations is well understood for the application and often must provide additional subcritical margin to ensure safe operating conditions . This study estimated the computational bias in the critical eigenvalue for several criticality safety applications supported by only a few relevant benchmark experiments . The accuracy of the following three methods for predicting computational biases was evaluated : the Upper Subcritical Limit STATisticS ( USLSTATS ) trending analysis method ; the Whisper nonparametric method ; and TSURFER , which is based on the generalized linear least-squares technique .
The intent of this work is to present the results and to describe the procedures utilized to evaluate 233U and 19F for criticality safety applications . The evaluation was done in the resolved resonance region using the reduced Reich‐Moore R‐matrix formalism .
The inverse sensitivity/uncertainty quantification ( IS/UQ ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimator ( INSURE ) module of the AMPX cross section processing system [ M.E. Dunn and N.M. Greene , “ AMPX-2000 : A Cross-Section Processing System for Generating Nuclear Data for Criticality Safety Applications , ” Trans . Am .
VME bus based dual redundant fault tolerant computer based systems are used in various safety critical and safety related applications of Prototype Fast Breeder Reactor ( PFBR ) , Kalpakkam . As a case study , this paper describes the hardware and software architecture along with implementation for Fresh Subassembly handling system of PFBR , which is classified as safety related system as per plant safety classification .
Jamming-resistant broadcast communication is crucial for safety-critical applications such as emergency alert broadcasts or the dissemination of navigation signals in adversarial settings . These applications share the need for guaranteed authenticity and availability of messages which are broadcasted by base stations to a large and unknown number of ( potentially untrusted ) receivers .
A browser based protocol is the chief security component of a safety critical web application , such as e-banking . Accordingly , browser based protocols need to be thoroughly verified in order to guarantee they are up to comply with key security properties .
But there is not a object-oriented analysis and design methodology using RBAC of J2EE and object-relational database for security . In this paper , the unified object-oriented analysis and design methodology is developed for security-critical web application systems based on J2EE and object-relational database . We used UMLsec and RBAC of object-relational database and J2EE for this methodology .
Ensuring the integrity of embedded programmable logic controllers ( PLCs ) is critical for safe operation of industrial con-trol systems . In particular , a cyber-attack could manipulatecontrol logic running on the PLCs to bring the process ofsafety-critical application into unsafe states . Unfortunately , PLCs are typically not equipped with hardware support thatallows the use of techniques such as remote attestation to ver-ify the integrity of the logic code .
The paper discusses this framework not only from the viewpoint of framework builders , but also end-user developers . In this context , it demonstrates how to use that approach for a safety and security-critical application with Internet and ZigBee .
: We study the problem of computing the forward “ reachable tube ” , defined as a tem- poral union of the “ reach sets ” of a dynamical system , or the sets of states the system can attain in future instances of time when subject to set-valued uncertainties in its initial conditions , controls , and exogenous disturbances . Fast computation of the reachable tubes for uncertain dynamical systems is essential for safety-critical applica- tions such as autonomous driving and unmanned aerial systems traffic management where much of the high-level decision making ( e.g. , lane changing in autonomous driving or switching between motion primitives during flight of an unmanned aerial system ) critically depends on the reachable tubes . At the same time , computation of the reachable tubes is difficult in general , due to the high-dimensional , non-convex nature of the problem .
Adversarial examples are considered a serious issue for safety critical applications of AI , such as finance , autonomous vehicle control and medicinal applications . Though significant work has resulted in increased robustness of systems to these attacks , systems are still vulnerable to well-crafted attacks .
Comprehensible credit scoring models using rule extraction from support vector machines An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation An effective teeth recognition method using label tree with cascade network structure Construction and Practice of Medical Immunology Course Based on Web Technology The Virtual Patient for Education and Training: A Critical Review of the Literature Key elements in assessing the educational environment: where is the theory? Towards Real-Time Visual Biometric Authentication Using Human Face for Healthcare Telepresence Mobile Robots Predictive Modeling for Epidemic Outbreaks: A New Approach and COVID-19 Case Study SZENZORHÁLÓZATOK ADATAINAK INTEGRÁLÁSI LEHETŐSÉGEI A PERSPEKTIVIKUS ERŐKÖVETÉSI RENDSZEREKBE, KÜLÖNÖS TEKINTETTEL AZ EGYÉNI EGÉSZSÉGÜGYI ADATOKRA Non-photorealistic rendering with coherence for augmented reality Hybrid Simulation Approach for Prospective Assessment of Mobile Stroke Units Medical Disease Diagnosis Using Structuring Text V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation BASEMENT: a distributed real-time architecture for vehicle applications Book Review: The Probability Tutoring Book: Generating Adversarial Samples with Convolutional Neural Network Secure Data Packet in MANET Based Chaos-Modified AES Algorithm Designing Behaviour Based Systems Using the Space-time Distance Principle Fault detection in dynamical systems: from state-estimation to direct input reconstruction methods Interaction Design for Situation Awareness －Eyetracking and Heuristics for Control Centers－ A Method for Assessment of System Security Probabilistic Model-Agnostic Meta-Learning A Survey of Energy Efficient Scheduling Algorithms for Real-time Systems over Parallel Machines Aircraft load alleviation by specifying its closed-loop eigenstructure Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach Feedback design for robust tracking and robust stiffness in flight control actuators using a modified QFT technique Advanced Actuation Systems Development. Volume 1 12-Pulse Active Rectifier for More Electric Aircraft Applications Variable-sweep optimization Helicopter station-keeping: comparing LQR, fuzzy-logic and neural-net controllers Cognitive computing: Neuroscience, supercomputing, nanotechnology Ground-Airborne electromagnetic signals de-noising using a combined wavelet transform algorithm Flight control method and flight control device of unmanned aircraft Development of a Generic Time-to-Contact Pilot Guidance Model Fault tolerant low cost IMUS for UAVs AI, Connectivity and Cyber-Security in Avionics Real-Time Computing And the Engineering Support System Open source hardware and software V2V emergency braking warning application Reliability and Efficiency of Vehicular Network Applications MEMS Sensors for non-Safety Automotive Applications Report of the First European Dependable Computing Conference EDCC-1 A Probabilistic Method for Certification of Analytically Redundant Systems New demands for invehicle networks A Survey of GNSS-Based Research and Developments for the European Railway Signaling Circuit arrangement having a resistive touch screen, medical imaging appliance having a resistive touch screen and method for operating a resistive touch screen Hazard Rate Estimation for GNSS-Based Train Localization Using Model-Based Approach Performance evaluation of multiple-antenna IEEE 802.11p transceivers using an FPGA-based MIMO vehicular channel emulator Experimental Evaluation of the DECOS Fault-Tolerant Communication Layer Neighbor risk reporting in vehicular networks Supercomputer Mathematical Modeling of the Fluid Dynamics in Elements of Nuclear Power Facilities Qualification Of Modern Electrical Products To Original Plant Specifications Revised standard addresses design requirements for computers used in nuclear power-plant safety systems Introduction to IEEE std. 7-4.3.2 annex D "Qualification of existing commercial computers" Study on Visual Monitoring System of Nuclear Power Operating Safety Status Evaluation Base on Real-time Data Estimation of Surface Fault Displacement by High Performance Computing Pb(Mg1/3Nb2/3)-PbTiO3-Based Ultrasonic Transducer for Detecting Infiltrated Water in Pressurized Water Reactor Fuel Rods Simulation and Simulators for Nuclear Power Generation Advanced automation in manufacturing and service industries Mathematical Models of Thermal Energy Processes Estimating Code Biases for Criticality Safety Applications with Few Relevant Benchmarks Recent Cross‐Section Evaluations in the Resonance Region at the Oak Ridge National Laboratory Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications Hardware & Software Implementation for Real Time Computer based Fresh Subassembly Handling System of PFBR Jamming-resistant Broadcast Communication without Shared Keys; ; Technical Report ; A Model Checker for the Verification of Browser Based Protocols A Development of the Unified Object-Oriented Analysis and Design Methodology for Security-Critical Web Applications Based on Object-Relational Database - Forcusing on Oracle11g - PAtt: Physics-based Attestation of Control Systems Meta-Design Support for Safe and Secure Networked Embedded Systems Ellipsoidal Algorithm for Fast Computation of Reachable Tubes Prior Networks for Detection of Adversarial Attacks
c92a9f1ff7a61518e8238fe9681253c50967dbe1 2848316b5077d35b9ae6f4c247fb872e853e0c74 9533d16efafa6cc2807f80b65bb4890dbee01fbd 41d031640f9045ec487b91674b12fe0603bfd5d2 247b6d49e796772ce11e874d966ae3f83f7b1e5c a6e8077bdd6f85c8b1c4e124ed32a568492e4ef5 c101ebfc5b5ee8fcaf05a7b6958a555135c65643 93a1163142251e6b4ba6175b1402fbd179b0e668 16e7230b05b46288720b523f33f04a9c7b6b335e 5ce8482848ee2cb8727ef2c0e3117453cd84a93c 78d0599c03c15bcb738c9386a24b684bd3a5dcd4 b20bea76f91911f402f6dcf439ccb122598ffad5 ffc5dffde7e18135d9e61cada478d6e07a2099b2 3058d053c418dda58472aebd45548afea24fe4b3 13a810628d48abcfeca5393b0d273eae3a887fd9 6310f51b609c7d892a5177c68f7fd0673cba62a6 36a67835974fb137062b7505cf0e80f91148c9a1 11bfe762bcf56c7ef3cee4a66585142cf58c449f 9e0062138895db6986f4fb30c786b601f739b9ad dfc43a6c2d1139420fb839814778589167c42ca5 afe2d217ac29a479d659d21498143cf7b6b4d614 84caf891d05705ae0cb6b5ae57b0cfe674025b4f 5d10e4f4c3b5487caa47decc94600d3e0b7dd891 e2fd6ba6f684ad103e1797d0b823bfb3f3c9d93f 6ea9a8e9d1407f12bef5924e69f4d537fc03bfb1 75d11130e58af5208a446cb83686519ffd809c8e 39ec069ce9eb6e9529b6c1625acff89fd54e944e 9ae59958e8d4618e45658e88fb944b4909abba3c 7160404a84de211e40da5b3d1efe484511511eda 6d1f29df8ad2bb2e523465a40ddb67a24e1c87ce 0fbd163b06bbc33dc813acf6db09322b7b61440f e6576535afa96ba6ccfa560361c1213963fc2e81 bac77cc0900730b11ceecf5db0ac967c96b33d94 3366a416040a59da4cec3c329a5755a39110599a 2efb046e3d103ccb83db19ee79290ca15669add0 376cf9ac13425a4b5b55506c5f78db6332dc1fec b7a22375047d1292a74ea0bac3328db3c9a8cd28 7970c6b3d39a50fb885cb1d7757909cb4759a7dd 74f27ee28ae97c805a7a00ff9a12ec1f0fa7b9e8 df95a7c5cf91b4fb8a0a9dd61561e33b677d349c 8178d800642f25f3ece22fc98f25fdda7779994f c884c09881cd5e945811ab1abf9c65ed6dd39ed5 1b15985fbe678ab5f359bbcafbe42a6ba80be69b 0008cd95f165ff3f1e50887aebf2a0ecef39c414 9e5423a3dabe132adbf1c834e14dfb1fcb669eca 59a89e35ee57f71eb7241573717fc4212ad49772 d2dbe8ba195970801ac0d1223c851f0f667862fb b9e29921816f9358c5e0718f5a14d8577216c759 390f78ac411e4c3d50fb8919d77f6f811c2c753f 6868c8fac907fefd5becd08c8afcf17673a1dd6a 2ecebe7157a74773d8223cc34167825880935c38 2237af170070068a14deb5a71e6971a4740a75d7 c706110e3f6cf88d835fbb7da70e1be1420263e5 4f75b39bf78e1b23c3d192060a92679a9e1000d1 7f54b7a51d89c67a97494a99ca2e4cad86923fc7 b867e66d842d9e144ee188d69d14867db3c98472 0dff8c5dbff7b080783c07ef8121a2b976e49719 2093550d0d064f7fb96bac3cdca6daf090e70970 02fa34a184ee289e7deb006ffaa1f023cc1a1219 ce62ef22f3ae956f69d44668f82688bb7ef062bf 3972272871c84c886d495deb45b519bb272a2043 337e1425df22963ad2ac2adaa8a8f9c4f7c8134d cd5dec5339d8cc8140fc41a199b2b04a02c99cf9 290b6fc4db847cb17b542783f376670fbfc3ee0b 4f0de1b49a6c34c4dd9c0f2a242f4c5f4cba2392 cff3f90859d10ad75d5ac39883c95f509e83987b 200e666e4d3761dfa43d900f0ef4f317b329e97a 500baec98c7edac72b3f131f61576b1158802f30
["Computer Science","Mathematics"] ["Computer Science"] ["Medicine","Computer Science"] ["Engineering"] ["Computer Science"] ["Psychology","Medicine"] ["Computer Science"] ["Mathematics"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Economics","Computer Science"] ["Engineering"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Engineering"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Mathematics"] ["Engineering","Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"] ["Computer Science"] ["Computer Science","Engineering"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Chemistry"] ["Computer Science"] ["Computer Science"] ["Physics","Computer Science"] ["Computer Science"] ["Geology"] ["Engineering","Medicine","Computer Science"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Physics"] ["Computer Science"] ["Physics"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"]
2007 2019 2018 2009 2010 2012 2016 2020 2019 2012 2012 2014 2016 1994 2019 2019 2001 2007 2009 2005 2018 2013 1987 2019 1999 1989 2018 1979 1998 2011 2013 2016 2017 2017 2019 1985 2018 2013 2009 1995 2015 1997 2017 2015 2020 2012 2007 2017 2015 1993 1993 1994 2018 2018 2019 2011 1995 2012 2019 2005 2015 2019 2008 2017 2012 2019 2008 2018 2018
MICCAI (6) SIMULTECH 2016 Fourth International Conference on 3D Vision (3DV) NeurIPS M&amp;N ETFA EUROMICRO SAFECOMP SSCI ICRA RAID ICONS
https://api.semanticscholar.org/c92a9f1ff7a61518e8238fe9681253c50967dbe1 https://api.semanticscholar.org/2848316b5077d35b9ae6f4c247fb872e853e0c74 https://api.semanticscholar.org/9533d16efafa6cc2807f80b65bb4890dbee01fbd https://api.semanticscholar.org/41d031640f9045ec487b91674b12fe0603bfd5d2 https://api.semanticscholar.org/247b6d49e796772ce11e874d966ae3f83f7b1e5c https://api.semanticscholar.org/a6e8077bdd6f85c8b1c4e124ed32a568492e4ef5 https://api.semanticscholar.org/c101ebfc5b5ee8fcaf05a7b6958a555135c65643 https://api.semanticscholar.org/93a1163142251e6b4ba6175b1402fbd179b0e668 https://api.semanticscholar.org/16e7230b05b46288720b523f33f04a9c7b6b335e https://api.semanticscholar.org/5ce8482848ee2cb8727ef2c0e3117453cd84a93c https://api.semanticscholar.org/78d0599c03c15bcb738c9386a24b684bd3a5dcd4 https://api.semanticscholar.org/b20bea76f91911f402f6dcf439ccb122598ffad5 https://www.semanticscholar.org/paper/50004c086ffd6a201a4b782281aaa930fbfe6ecf https://api.semanticscholar.org/ffc5dffde7e18135d9e61cada478d6e07a2099b2 https://api.semanticscholar.org/3058d053c418dda58472aebd45548afea24fe4b3 https://api.semanticscholar.org/13a810628d48abcfeca5393b0d273eae3a887fd9 https://api.semanticscholar.org/6310f51b609c7d892a5177c68f7fd0673cba62a6 https://api.semanticscholar.org/36a67835974fb137062b7505cf0e80f91148c9a1 https://api.semanticscholar.org/11bfe762bcf56c7ef3cee4a66585142cf58c449f https://api.semanticscholar.org/9e0062138895db6986f4fb30c786b601f739b9ad https://api.semanticscholar.org/dfc43a6c2d1139420fb839814778589167c42ca5 https://www.semanticscholar.org/paper/38e2f851b705faa0d0a698ed9885bd6834440073 https://api.semanticscholar.org/afe2d217ac29a479d659d21498143cf7b6b4d614 https://api.semanticscholar.org/84caf891d05705ae0cb6b5ae57b0cfe674025b4f https://api.semanticscholar.org/5d10e4f4c3b5487caa47decc94600d3e0b7dd891 https://api.semanticscholar.org/e2fd6ba6f684ad103e1797d0b823bfb3f3c9d93f https://api.semanticscholar.org/6ea9a8e9d1407f12bef5924e69f4d537fc03bfb1 https://api.semanticscholar.org/75d11130e58af5208a446cb83686519ffd809c8e https://api.semanticscholar.org/39ec069ce9eb6e9529b6c1625acff89fd54e944e https://api.semanticscholar.org/9ae59958e8d4618e45658e88fb944b4909abba3c https://api.semanticscholar.org/7160404a84de211e40da5b3d1efe484511511eda https://api.semanticscholar.org/6d1f29df8ad2bb2e523465a40ddb67a24e1c87ce https://api.semanticscholar.org/0fbd163b06bbc33dc813acf6db09322b7b61440f https://api.semanticscholar.org/e6576535afa96ba6ccfa560361c1213963fc2e81 https://api.semanticscholar.org/bac77cc0900730b11ceecf5db0ac967c96b33d94 https://api.semanticscholar.org/3366a416040a59da4cec3c329a5755a39110599a https://api.semanticscholar.org/2efb046e3d103ccb83db19ee79290ca15669add0 https://api.semanticscholar.org/376cf9ac13425a4b5b55506c5f78db6332dc1fec https://api.semanticscholar.org/b7a22375047d1292a74ea0bac3328db3c9a8cd28 https://api.semanticscholar.org/7970c6b3d39a50fb885cb1d7757909cb4759a7dd https://api.semanticscholar.org/74f27ee28ae97c805a7a00ff9a12ec1f0fa7b9e8 https://api.semanticscholar.org/df95a7c5cf91b4fb8a0a9dd61561e33b677d349c https://api.semanticscholar.org/8178d800642f25f3ece22fc98f25fdda7779994f https://api.semanticscholar.org/c884c09881cd5e945811ab1abf9c65ed6dd39ed5 https://api.semanticscholar.org/1b15985fbe678ab5f359bbcafbe42a6ba80be69b https://api.semanticscholar.org/0008cd95f165ff3f1e50887aebf2a0ecef39c414 https://api.semanticscholar.org/9e5423a3dabe132adbf1c834e14dfb1fcb669eca https://api.semanticscholar.org/59a89e35ee57f71eb7241573717fc4212ad49772 https://api.semanticscholar.org/d2dbe8ba195970801ac0d1223c851f0f667862fb https://api.semanticscholar.org/b9e29921816f9358c5e0718f5a14d8577216c759 https://api.semanticscholar.org/390f78ac411e4c3d50fb8919d77f6f811c2c753f https://api.semanticscholar.org/6868c8fac907fefd5becd08c8afcf17673a1dd6a https://api.semanticscholar.org/2ecebe7157a74773d8223cc34167825880935c38 https://api.semanticscholar.org/2237af170070068a14deb5a71e6971a4740a75d7 https://api.semanticscholar.org/c706110e3f6cf88d835fbb7da70e1be1420263e5 https://api.semanticscholar.org/4f75b39bf78e1b23c3d192060a92679a9e1000d1 https://api.semanticscholar.org/7f54b7a51d89c67a97494a99ca2e4cad86923fc7 https://api.semanticscholar.org/b867e66d842d9e144ee188d69d14867db3c98472 https://api.semanticscholar.org/0dff8c5dbff7b080783c07ef8121a2b976e49719 https://api.semanticscholar.org/2093550d0d064f7fb96bac3cdca6daf090e70970 https://api.semanticscholar.org/02fa34a184ee289e7deb006ffaa1f023cc1a1219 https://api.semanticscholar.org/ce62ef22f3ae956f69d44668f82688bb7ef062bf https://api.semanticscholar.org/3972272871c84c886d495deb45b519bb272a2043 https://api.semanticscholar.org/337e1425df22963ad2ac2adaa8a8f9c4f7c8134d https://api.semanticscholar.org/cd5dec5339d8cc8140fc41a199b2b04a02c99cf9 https://api.semanticscholar.org/290b6fc4db847cb17b542783f376670fbfc3ee0b https://api.semanticscholar.org/4f0de1b49a6c34c4dd9c0f2a242f4c5f4cba2392 https://api.semanticscholar.org/cff3f90859d10ad75d5ac39883c95f509e83987b https://api.semanticscholar.org/200e666e4d3761dfa43d900f0ef4f317b329e97a https://api.semanticscholar.org/500baec98c7edac72b3f131f61576b1158802f30