An Australian Experience . The paper reviews an Australian experience in establishing and maintaining a masters level postgraduate coursework program in signal processing . Key findings are : there is sufficient demand and interest to sustain such a program ; setting one up , however , requires an injection of extra resources and assured student intake that is almost always beyond a single university department in the current Australian environment Abstract Hedges , Robert A. , and Suter , Bruce W. , Numerical Spread : Quantifying Local Stationarity , Digital Signal Processing 12 ( 2002 ) 628–643 One of the fundamental assumptions in signal processing is that of signal stationarity ; i.e. , the statistics of all orders are not time dependent . Many real data sets are not stationary but can , however , be described as locally stationary ; that is , they appear stationary over finite time intervals . 2D phase unwrapping , a problem common to signal processing , optics , and interferometric radar topographic applications , consists in retrieving an absolute phase field from principal , noisy measurements . In this paper , we analyze the application of neural networks to this complex mathematical problem , formulating it as a learning-by-examples strategy , by training a multilayer perceptron to associate a proper correction pattern to the principal phase gradient configuration on local window . Images of sports biomechanics signal data is a quadratic function , such as projectile motion . In recent ten years , few scholars have conducted a comparative studyon the effect of different kinds of smoothing method on this type of signal data processing , we first list the mathematical principle of various kinds of interpolation method and filter method , with proper mathematical reasoning and combined with the literature to get the advantages and disadvantages of various methods and scope of application , and then validated with experimental method and draws the conclusion . The wavelets are a recent tool for signal processing analysis , for multiple time scale . It gives rise to many applications in various fields such as geophysics , astrophysics , telecommunications , imaging , and video coding . section : Introduction Image and video SR are long - standing challenges of signal processing . SR aims at recovering a HR image or video from its LR version , and finds direct applications ranging from medical imaging to satellite imaging , as well as facilitating tasks such as face recognition . It provides security to the data by converting the data in the form of DNA sequence . A lot of research has been done in the area of this cryptography . It consists of various stages like converting data in the form of DNA , reverse conversion , various methods of encryption etc . The field of Pairing Based Cryptography ( PBC ) has seen recent advances in the simplification of their calculations and in the implementation of original protocols for security and privacy . Like most cryptographic algorithms , PBC implementations on embedded devices are exposed to physical attacks such as side channel attacks , which have been shown to recover the secret points used in some PBC-based schemes . Pairing-based cryptography ( PBC ) has recently received much attention , since the mathematical building block of pairings paved the ground for devising efficient cryptographic protocols exploiting an old inspiration , i.e. , to produce the public key of an entity based on its identity . The so-called Identity-Based Cryptography ( IBC ) simplifies key management procedures , since it does not require certificate-based infrastructures . This feasibility , however , does not necessarily mean attractiveness , as the obtained results are still not satisfactory enough . In this paper , we present results on implementing ECC , as well as the related emerging field of Pairing-Based Cryptography ( PBC ) , on two of the most popular sensor nodes . By doing that , we show that PKC is not only viable , but in fact attractive for WSNs . The SwitchWare active network architecture is a novel approach to achieving this balance using three layers : active packets , which contain mobile programs that replace traditional packets ; active extensions , which provide services on the network elements and can be dynamically loaded ; and a secure active router infrastructure , which forms a high-integrity base on which the security of the other layers depends . In addition to integrity checking and cryptography-based authentication , security in our architecture depends heavily on verification techniques from programming languages , such as strong type checking . However operational experience suggests that hardware faults , software implementation bugs , operator misconfigurations , let alone malicious attacks can all lead to invalid routing protocol announcements . Although several recent efforts have developed cryptography-based authentication for routing protocols , such enhancements alone are rendered ineffective in the face of faults caused by misconfigurations or hardware/software errors . In this paper we develop a simple routing update validation algorithm for the RIP protocol , RIP with triangle theorem checking and probing ( RIP-TP ) . The paper presents a protocol enhancement to BGP which enables BGP to detect bogus route announcements from false origins . Rather than imposing cryptography-based authentication and encryption to secure routing message exchanges , our solution makes use of the rich connectivity among ASs that exists in the Internet . Simulation results show that this simple solution can effectively detect false routing announcements even in the presence of multiple compromised routers , become more robust in larger topologies , and can substantially reduce the impact of false routing announcements even with a partial deployment . However , there are still plenty of practical details in this protocol that have n’t been discussed yet , which are of significant importance in physical implementation . In this paper , we will give a practical analysis on such kind of counterfactual quantum cryptography in the aspects of quantum bit error rate ( QBER ) and stabilization . Furthermore , modified schemes are proposed , which can obtain lower QBER and will be much more robust on stabilization in physical implementation . Two of the main areas of research in visual cryptography have been on improving the visual quality of the recovered image and in reducing the pixel expansion of the shares . This paper addresses both of these visual cryptography issues . First , a method to enhance the perceived visual quality of the recovered image using various image filtering techniques is presented . This work is ancillary to the previous works about optimization of Shifting Primes for class-1 constrained devices . The optimization of the Elliptic Curve Cryptography for the class-2 constrained devices brings several opportunities for realistic scenarios , where the security interoperability between a gate- way ( class-2 device ) and end-nodes ( class 1 devices ) is a major requirement . Basically speaking , there are two paradigms of applying chaos for secure applications : analog chaotic secure communications ( mainly based on chaos synchronization technique ) and digital chaotic ciphers realized in computers . This dissertation only focuses on digital chaotic ciphers , i.e. , the area lying between chaos theory and pure cryptography in finite-state ( digital ) world . The first boom of research on digital chaotic ciphers occurred near 1990 , but decayed rapidly after some negative works on the security of proposed ciphers . We propose a general full-field mode sorting scheme consisting only of up to two optimized phase elements based on evolutionary algorithms that allows for joint sorting of azimuthal and radial modes in a wide range of bases . We further study the performance of our scheme through simulations in the context of high-dimensional quantum cryptography , where high-fidelity measurement schemes are crucial . The analysis of shift registers with nonlinear feedbacks was carried out for the possibility of their use as cryptographically strong components of stream ciphers . The use of these registers is particularly relevant for the design of low-resource cryptography and is used to protect the transmitted data on the Internet of Things . Considering the diversity of possible cryptographic attacks on this element , some of the main properties were considered in the work , such as nonlinearity , correlation immunity , and the possibility of choosing NLFSRs optimized for these indicators and at the same time having minimal structural complexity . Using Escape Room Puzzles in a Cryptography Classroom . Abstract Escape rooms are an increasingly popular puzzle game , and educators have started implementing them in classrooms . The grand-averaged results show that most sensation grades can be differentiated , and most pairwise comparisons show significant difference on individuals ( p < 0.05 ) . The work suggests that ERP- and ERS/ERD-based EEG features may have potential to quantify tactile sensations for medical diagnosis or engineering applications . In this work we have attempted to define ambient ecologies as a metaphor for modeling UbiComp applications , specify design patterns and programming principles and develop infrastructure to provide a paradigm of application engineering and tools to support ambient ecology designers , developers and end-users . We describe our model and the middleware architecture and present the engineering of applications in a smart home environment . One can view these technologies as forming levels within a new , global computing platform . We aim to open a new area of research , called multiplicity computing , that takes a radically different approach to the engineering of applications for this platform . Unlike other efforts , which are largely focused on innovations within specific levels , multiplicity computing embraces the platform as a virtually unlimited space of essentially redundant resources . The service-oriented paradigm typically separates the development of systems into service engineering and application engineering . In our opinion , these two disciplines can not be completely separated , as otherwise , there is no assurance that services provided by service engineering can actually be used by application engineering . While developers in family engineering tend to use variability management tools ( e.g. , pure::variants ) for feature modeling and developing core assets for reuse , such sophisticated tools might be too complicated and inappropriate for product configuration in application engineering . In order to solve this challenge , this paper introduces an Excel-based product configurator called EXConfig , which focuses on product line features in the problem space and supports staged product configuration in application engineering . This tool can be easily customized and integrated with other system design tools or variability management tools , which connects application engineering and family engineering in development . The generic method model assumes that methods abound and method engineering and application engineering is done in diverse areas . Therefore , it is necessary to understand the notion of a method independent of information systems and software engineering . However , the majority of research works focuses on instantiating the variants selected in the final product , while the derivation at the architecture level has been poorly explored . As product line engineers often customize the product architecture by hand during the application engineering phase , the derivation and customization processes of the product line architecture ( PLA ) might be in some cases error-prone . Consequently , in this research we present an Ontology-based product Architecture Derivation ( OntoAD ) framework which automates the derivation of product-specific architectures from an SPL architecture . Dr Appadu is grateful to the South African DST/NRF SARChI Chair on Mathematical Models and Methods in Bio- engineering and Biosciences of the University of Pretoria and to the National Research Foundation of South African Grant Number 95864 . Prof. J.K. Djoko is funded through the incentive fund N00 401 Project 85796 . To solve the shortcomings of the artificial neural network method , a new prediction method based on new evolutionary neural network is proposed . Finally , through two real engineering applications , the analysis of three main methods and the new evolutionary neural network method all have been verified . The results show that , the grey system method is a kind of exponential approximation to displacement sequence , and time series analysis is linear autoregression approximation , while artificial neural network is nonlinear autoregression approximation . The findings revealed that Maple could assist students in understanding the ODE lesson , especially in getting rid of tedious calculations as well as producing interactive activities while learning mathematics . Generally , students were able to figure out the relationship between mathematical understanding and real-life engineering applications . Some recommendations are made in order to promote the use of Maple among students , particularly in their final-year project . Their performances have been evaluated and compared . Their limitations in real-life engineering applications are discussed . The so called “ traditional ” computational electromagnetic ( CEM ) techniques , such as vector finite elements methods , finite difference ( volume ) time domain methods , integral equation methods , and various hybridizations of such techniques , have become the major building blocks for many successful commercial software . In the last few decades , we have witnessed the ballooning success stories of these CEM techniques/software to design and to solve challenging real-life engineering applications : ranging from large and small , military and civilian communication/radar antennas ; signal/power integrity in ICs and packages ; stealth technologies in military applications ; electromagnetic compatibility/interference in electronics ; and bio-medical applications ; to name just a few . However , as many of us are aware of , as the CEM techniques/software improved significantly over the years , new and even more complex engineering problems , which were considered un-solvable before , were surfaced as a natural consequence . Furthermore , the pace of the expected changes is likely to be abrupt : catastrophic shifts might be the most likely outcome of this ongoing , apparently slow process . Although different strategies for geo-engineering the planet have been advanced , none seem likely to safely revert the large-scale problems associated to carbon dioxide accumulation or ecosystem degradation . An alternative possibility considered here is inspired in the rapidly growing potential for engineering living systems . The failure of the 15th United Nations Framework Convention on Climate Change Conference of the Parties ( COP15 ) to obtain a legally binding emissions reduction agreement makes the deployment of geo-engineering solutions an increasingly attractive proposition . This review looks at a variety of global and local approaches to geo-engineering covering solar radiation management and carbon cycle engineering and attempts to assess the feasibility of the technologies from an engineering perspective . However , despite the plethora of ideas generated by the science community , it still appears that much work remains to be done in the initial engineering assessment of these techniques and this is a major hurdle to overcome before any geo-engineering scheme can be fully considered . However , in an idealengineering data base interface , an engineer would be able to define constraints , give examples , point at parts of pictures , and ( sometimes ) use several modes of communication simultaneously . The paper presents an example from an engineering design application to show how a traditional query language can be enhanced to accommodate the engineering needs . The paper further describes a conceptual approach for multimodal engineering data base interface combining multipurpose graphics , an engineering query language , and other interface methodologies in an engineering workstation environment . The second step selects one local search method to find the nearest solutions to those proposed by the knowledge sources . The proposed work is employed to solve seven global optimization problems in 50 and 100 dimensions , and an engineering application problem . Simulation results show how the approach speeds up the convergence process with very competitive results on such complex benchmarks when compared to other state-of-the-art algorithms . Principles and Applications of Microcontroller is a basic specialized course with widely application . Based on the outline requirement of paying attention to the basic knowledge and improving the practical and development abilities , students can learn to solve the actual engineering application problem based on the basic theory knowledge , and have primary abilities of system designing and debugging . Aimed at how to cultivate and improve the application ability of the students , this paper probes the teaching mode of the microcontroller on teaching contents , teaching method , course experiment and course design . By analogy with Internet of things , Internet of vehicles ( IoV ) that enables ubiquitous information exchange and content sharing among vehicles with little or no human intervention is a key enabler for the intelligent transportation industry . In this paper , we study how to combine both the physical and social layer information for realizing rapid content dissemination in device-to-device vehicle-to-vehicle (D2D-V2V)-based IoV networks . It describes architecture of a cloud transportation system from viewpoints of technology and presents how to build the cloud transportation system from perspectives of management . Because our intelligent transportation industry is in the primary phase , and cloud-computing application as the resource deliver mode is just in the research phase in transportation field , this article also takes some measures to promote the application of cloud computing in the transportation field . Vehicle-to-vehicle ( V2V ) communication which supports ubiquitous information exchange and content sharing among vehicles with little or no human intervention becomes a key enabler for intelligent transportation industry . In this paper , we adopt a two-hop relay transmission mode to maximize the total spectrum efficiency of a device-to-device ( D2D ) based vehicular cooperative network while ensuring the quality of service ( QoS ) provisions of both V2V links and cellular links . Energy and transportation sectors are going through major changes as a result of technological advances , depletion of fossil fuels and climate change . With regard to the energy sector , the future smart grid is expected to be an interconnected network of small-scale and self-contained microgrids , in addition to a large-scale electric power backbone . However , the efficient management of the electric vehicle fleet is not exempt from challenges . It calls for the involvement of all actors directly or indirectly related to the energy and transportation sectors , ranging from governments , automakers and transmission system operators , to the ultimate beneficiary of the change : the end-user . An electric vehicle is primarily to be used to satisfy driving needs , and accordingly charging policies must be designed primarily for this purpose . Results show that TTDSMH can improve robustness . The proposed strategy can be applied in intelligent transportation tools for railway timetabling . The problem of pneumatical mass transportation is-using minimal energy-an open problem up to now . The present paper uses stochastical methods for the approximation of the solution . This document aims to describe the development of the project “ AUTOMATION OF AN INDUSTRIAL REFRIGERATION SYSTEM THROUGH A PLC , AN HMI INTERFACE AND REMOTE CONTROL FROM MOBILE DEVICES ” , which will be executed through the Ilusol Company owned by Engineer Alvaro Carrera , which is oriented to the provision of electrical and automation services . This project aims to provide a solution to the industrial refrigeration system of a liquid chiller unit used in the production of ice cubes , for the transportation of shrimp . For this , the automation equipment will be used , such as : a PLC , an HMI and an additional remote control will be configured from a mobile device . Note to Practitioners — The work reported in this article will be useful for deploying multirobot teams to support complex logistics missions spread over a large area where the robots must be prepared to handle contingencies that can adversely impact the mission . The proposed proactive approach can be used to handle contingencies in information gathering , surveillance , guarding , and situational awareness tasks to support safe and secure transportation of important assets through crowded areas . We use port operation as an illustrative example where unmanned surface and aerial vehicles can be useful in ensuring the safety and security of the ports . BACKGROUND AND OBJECTIVE Developed electronic mechanisms frequently deal with defies about thermal management from developed phase of heat diminution or generation of available surface area regarding heat exclusion . Such promising defy can be subjugated either by introducing an optimal geometry for chilling equipments or intensifying heat transportation attributes . Nanoliquid in this perspective executes an extraordinary function to address all such matters . The emergence of advanced communication technology has created opportunities to improve transportation in supply chains across the globe . In this paper the main contributors to inefficiencies in present road transportation chains are identified . The paper goes on to describe approaches taken by stakeholders to improve their operational efficiency . The multi-vehicle combined transportation of large-scale equipment or goods is studied , and various combined transportation modes are obtained . The research on four-vehicle combined transportation is studied , the four transport vehicles must ensure synchronization in the process of running , and the steering must be coordinated , otherwise major accidents may occur . In this paper , extensions of wireless LAN technology needed to support transportation safety applications and general multimedia to the car are introduced . Based on the collection of IEEE 802.11 protocols , the proposed standard specifies additional requirements associated with the vehicular environment . Yet , many studies have reported high underreporting rates due to the participants ’ burden to fill in daily details of their activities ( Bricka & Bhat , 2006 ) . As a result , research has emerged in the previous decade attempting to infer the transportation mode from GPS data . This inference could largely replace or complete a lot of the feedback required by users when labelling and tagging travel diaries . Recurrent connections seem to rely heavily on competitive inhibition and other feedback to make object recognition more robust [ 38 , 39 ] . In the context of computer vision , RL has been shown to be able to learn saccades in visual scenes to learn selective attention [ 40 , 41 ] , learn feedback to lower levels [ 42 , 43 ] , and improve face recognition [ 44 , 45 ] . It has been shown to be effective for object recognition [ 46 ] , and has also been combined with traditional computer vision primitives [ 47 ] . Iterative processing of images using recurrency has been successfully used for image reconstruction [ 48 ] , face - localization [ 49 ] and compression [ 50 ] . All these approaches show that recurrency in processing and an RL perspective can lead to novel algorithms that improve performance .
An Australian Experience . The paper reviews an Australian experience in establishing and maintaining a masters level postgraduate coursework program in signal processing . Key findings are : there is sufficient demand and interest to sustain such a program ; setting one up , however , requires an injection of extra resources and assured student intake that is almost always beyond a single university department in the current Australian environment
Abstract Hedges , Robert A. , and Suter , Bruce W. , Numerical Spread : Quantifying Local Stationarity , Digital Signal Processing 12 ( 2002 ) 628–643 One of the fundamental assumptions in signal processing is that of signal stationarity ; i.e. , the statistics of all orders are not time dependent . Many real data sets are not stationary but can , however , be described as locally stationary ; that is , they appear stationary over finite time intervals .
2D phase unwrapping , a problem common to signal processing , optics , and interferometric radar topographic applications , consists in retrieving an absolute phase field from principal , noisy measurements . In this paper , we analyze the application of neural networks to this complex mathematical problem , formulating it as a learning-by-examples strategy , by training a multilayer perceptron to associate a proper correction pattern to the principal phase gradient configuration on local window .
Images of sports biomechanics signal data is a quadratic function , such as projectile motion . In recent ten years , few scholars have conducted a comparative studyon the effect of different kinds of smoothing method on this type of signal data processing , we first list the mathematical principle of various kinds of interpolation method and filter method , with proper mathematical reasoning and combined with the literature to get the advantages and disadvantages of various methods and scope of application , and then validated with experimental method and draws the conclusion .
The wavelets are a recent tool for signal processing analysis , for multiple time scale . It gives rise to many applications in various fields such as geophysics , astrophysics , telecommunications , imaging , and video coding .
section : Introduction Image and video SR are long - standing challenges of signal processing . SR aims at recovering a HR image or video from its LR version , and finds direct applications ranging from medical imaging to satellite imaging , as well as facilitating tasks such as face recognition .
It provides security to the data by converting the data in the form of DNA sequence . A lot of research has been done in the area of this cryptography . It consists of various stages like converting data in the form of DNA , reverse conversion , various methods of encryption etc .
The field of Pairing Based Cryptography ( PBC ) has seen recent advances in the simplification of their calculations and in the implementation of original protocols for security and privacy . Like most cryptographic algorithms , PBC implementations on embedded devices are exposed to physical attacks such as side channel attacks , which have been shown to recover the secret points used in some PBC-based schemes .
Pairing-based cryptography ( PBC ) has recently received much attention , since the mathematical building block of pairings paved the ground for devising efficient cryptographic protocols exploiting an old inspiration , i.e. , to produce the public key of an entity based on its identity . The so-called Identity-Based Cryptography ( IBC ) simplifies key management procedures , since it does not require certificate-based infrastructures .
This feasibility , however , does not necessarily mean attractiveness , as the obtained results are still not satisfactory enough . In this paper , we present results on implementing ECC , as well as the related emerging field of Pairing-Based Cryptography ( PBC ) , on two of the most popular sensor nodes . By doing that , we show that PKC is not only viable , but in fact attractive for WSNs .
The SwitchWare active network architecture is a novel approach to achieving this balance using three layers : active packets , which contain mobile programs that replace traditional packets ; active extensions , which provide services on the network elements and can be dynamically loaded ; and a secure active router infrastructure , which forms a high-integrity base on which the security of the other layers depends . In addition to integrity checking and cryptography-based authentication , security in our architecture depends heavily on verification techniques from programming languages , such as strong type checking .
However operational experience suggests that hardware faults , software implementation bugs , operator misconfigurations , let alone malicious attacks can all lead to invalid routing protocol announcements . Although several recent efforts have developed cryptography-based authentication for routing protocols , such enhancements alone are rendered ineffective in the face of faults caused by misconfigurations or hardware/software errors . In this paper we develop a simple routing update validation algorithm for the RIP protocol , RIP with triangle theorem checking and probing ( RIP-TP ) .
The paper presents a protocol enhancement to BGP which enables BGP to detect bogus route announcements from false origins . Rather than imposing cryptography-based authentication and encryption to secure routing message exchanges , our solution makes use of the rich connectivity among ASs that exists in the Internet . Simulation results show that this simple solution can effectively detect false routing announcements even in the presence of multiple compromised routers , become more robust in larger topologies , and can substantially reduce the impact of false routing announcements even with a partial deployment .
However , there are still plenty of practical details in this protocol that have n’t been discussed yet , which are of significant importance in physical implementation . In this paper , we will give a practical analysis on such kind of counterfactual quantum cryptography in the aspects of quantum bit error rate ( QBER ) and stabilization . Furthermore , modified schemes are proposed , which can obtain lower QBER and will be much more robust on stabilization in physical implementation .
Two of the main areas of research in visual cryptography have been on improving the visual quality of the recovered image and in reducing the pixel expansion of the shares . This paper addresses both of these visual cryptography issues . First , a method to enhance the perceived visual quality of the recovered image using various image filtering techniques is presented .
This work is ancillary to the previous works about optimization of Shifting Primes for class-1 constrained devices . The optimization of the Elliptic Curve Cryptography for the class-2 constrained devices brings several opportunities for realistic scenarios , where the security interoperability between a gate- way ( class-2 device ) and end-nodes ( class 1 devices ) is a major requirement .
Basically speaking , there are two paradigms of applying chaos for secure applications : analog chaotic secure communications ( mainly based on chaos synchronization technique ) and digital chaotic ciphers realized in computers . This dissertation only focuses on digital chaotic ciphers , i.e. , the area lying between chaos theory and pure cryptography in finite-state ( digital ) world . The first boom of research on digital chaotic ciphers occurred near 1990 , but decayed rapidly after some negative works on the security of proposed ciphers .
We propose a general full-field mode sorting scheme consisting only of up to two optimized phase elements based on evolutionary algorithms that allows for joint sorting of azimuthal and radial modes in a wide range of bases . We further study the performance of our scheme through simulations in the context of high-dimensional quantum cryptography , where high-fidelity measurement schemes are crucial .
The analysis of shift registers with nonlinear feedbacks was carried out for the possibility of their use as cryptographically strong components of stream ciphers . The use of these registers is particularly relevant for the design of low-resource cryptography and is used to protect the transmitted data on the Internet of Things . Considering the diversity of possible cryptographic attacks on this element , some of the main properties were considered in the work , such as nonlinearity , correlation immunity , and the possibility of choosing NLFSRs optimized for these indicators and at the same time having minimal structural complexity .
Using Escape Room Puzzles in a Cryptography Classroom . Abstract Escape rooms are an increasingly popular puzzle game , and educators have started implementing them in classrooms .
The grand-averaged results show that most sensation grades can be differentiated , and most pairwise comparisons show significant difference on individuals ( p < 0.05 ) . The work suggests that ERP- and ERS/ERD-based EEG features may have potential to quantify tactile sensations for medical diagnosis or engineering applications .
In this work we have attempted to define ambient ecologies as a metaphor for modeling UbiComp applications , specify design patterns and programming principles and develop infrastructure to provide a paradigm of application engineering and tools to support ambient ecology designers , developers and end-users . We describe our model and the middleware architecture and present the engineering of applications in a smart home environment .
One can view these technologies as forming levels within a new , global computing platform . We aim to open a new area of research , called multiplicity computing , that takes a radically different approach to the engineering of applications for this platform . Unlike other efforts , which are largely focused on innovations within specific levels , multiplicity computing embraces the platform as a virtually unlimited space of essentially redundant resources .
The service-oriented paradigm typically separates the development of systems into service engineering and application engineering . In our opinion , these two disciplines can not be completely separated , as otherwise , there is no assurance that services provided by service engineering can actually be used by application engineering .
While developers in family engineering tend to use variability management tools ( e.g. , pure::variants ) for feature modeling and developing core assets for reuse , such sophisticated tools might be too complicated and inappropriate for product configuration in application engineering . In order to solve this challenge , this paper introduces an Excel-based product configurator called EXConfig , which focuses on product line features in the problem space and supports staged product configuration in application engineering . This tool can be easily customized and integrated with other system design tools or variability management tools , which connects application engineering and family engineering in development .
The generic method model assumes that methods abound and method engineering and application engineering is done in diverse areas . Therefore , it is necessary to understand the notion of a method independent of information systems and software engineering .
However , the majority of research works focuses on instantiating the variants selected in the final product , while the derivation at the architecture level has been poorly explored . As product line engineers often customize the product architecture by hand during the application engineering phase , the derivation and customization processes of the product line architecture ( PLA ) might be in some cases error-prone . Consequently , in this research we present an Ontology-based product Architecture Derivation ( OntoAD ) framework which automates the derivation of product-specific architectures from an SPL architecture .
Dr Appadu is grateful to the South African DST/NRF SARChI Chair on Mathematical Models and Methods in Bio- engineering and Biosciences of the University of Pretoria and to the National Research Foundation of South African Grant Number 95864 . Prof. J.K. Djoko is funded through the incentive fund N00 401 Project 85796 .
To solve the shortcomings of the artificial neural network method , a new prediction method based on new evolutionary neural network is proposed . Finally , through two real engineering applications , the analysis of three main methods and the new evolutionary neural network method all have been verified . The results show that , the grey system method is a kind of exponential approximation to displacement sequence , and time series analysis is linear autoregression approximation , while artificial neural network is nonlinear autoregression approximation .
The findings revealed that Maple could assist students in understanding the ODE lesson , especially in getting rid of tedious calculations as well as producing interactive activities while learning mathematics . Generally , students were able to figure out the relationship between mathematical understanding and real-life engineering applications . Some recommendations are made in order to promote the use of Maple among students , particularly in their final-year project .
Their performances have been evaluated and compared . Their limitations in real-life engineering applications are discussed .
The so called “ traditional ” computational electromagnetic ( CEM ) techniques , such as vector finite elements methods , finite difference ( volume ) time domain methods , integral equation methods , and various hybridizations of such techniques , have become the major building blocks for many successful commercial software . In the last few decades , we have witnessed the ballooning success stories of these CEM techniques/software to design and to solve challenging real-life engineering applications : ranging from large and small , military and civilian communication/radar antennas ; signal/power integrity in ICs and packages ; stealth technologies in military applications ; electromagnetic compatibility/interference in electronics ; and bio-medical applications ; to name just a few . However , as many of us are aware of , as the CEM techniques/software improved significantly over the years , new and even more complex engineering problems , which were considered un-solvable before , were surfaced as a natural consequence .
Furthermore , the pace of the expected changes is likely to be abrupt : catastrophic shifts might be the most likely outcome of this ongoing , apparently slow process . Although different strategies for geo-engineering the planet have been advanced , none seem likely to safely revert the large-scale problems associated to carbon dioxide accumulation or ecosystem degradation . An alternative possibility considered here is inspired in the rapidly growing potential for engineering living systems .
The failure of the 15th United Nations Framework Convention on Climate Change Conference of the Parties ( COP15 ) to obtain a legally binding emissions reduction agreement makes the deployment of geo-engineering solutions an increasingly attractive proposition . This review looks at a variety of global and local approaches to geo-engineering covering solar radiation management and carbon cycle engineering and attempts to assess the feasibility of the technologies from an engineering perspective . However , despite the plethora of ideas generated by the science community , it still appears that much work remains to be done in the initial engineering assessment of these techniques and this is a major hurdle to overcome before any geo-engineering scheme can be fully considered .
However , in an idealengineering data base interface , an engineer would be able to define constraints , give examples , point at parts of pictures , and ( sometimes ) use several modes of communication simultaneously . The paper presents an example from an engineering design application to show how a traditional query language can be enhanced to accommodate the engineering needs . The paper further describes a conceptual approach for multimodal engineering data base interface combining multipurpose graphics , an engineering query language , and other interface methodologies in an engineering workstation environment .
The second step selects one local search method to find the nearest solutions to those proposed by the knowledge sources . The proposed work is employed to solve seven global optimization problems in 50 and 100 dimensions , and an engineering application problem . Simulation results show how the approach speeds up the convergence process with very competitive results on such complex benchmarks when compared to other state-of-the-art algorithms .
Principles and Applications of Microcontroller is a basic specialized course with widely application . Based on the outline requirement of paying attention to the basic knowledge and improving the practical and development abilities , students can learn to solve the actual engineering application problem based on the basic theory knowledge , and have primary abilities of system designing and debugging . Aimed at how to cultivate and improve the application ability of the students , this paper probes the teaching mode of the microcontroller on teaching contents , teaching method , course experiment and course design .
By analogy with Internet of things , Internet of vehicles ( IoV ) that enables ubiquitous information exchange and content sharing among vehicles with little or no human intervention is a key enabler for the intelligent transportation industry . In this paper , we study how to combine both the physical and social layer information for realizing rapid content dissemination in device-to-device vehicle-to-vehicle (D2D-V2V)-based IoV networks .
It describes architecture of a cloud transportation system from viewpoints of technology and presents how to build the cloud transportation system from perspectives of management . Because our intelligent transportation industry is in the primary phase , and cloud-computing application as the resource deliver mode is just in the research phase in transportation field , this article also takes some measures to promote the application of cloud computing in the transportation field .
Vehicle-to-vehicle ( V2V ) communication which supports ubiquitous information exchange and content sharing among vehicles with little or no human intervention becomes a key enabler for intelligent transportation industry . In this paper , we adopt a two-hop relay transmission mode to maximize the total spectrum efficiency of a device-to-device ( D2D ) based vehicular cooperative network while ensuring the quality of service ( QoS ) provisions of both V2V links and cellular links .
Energy and transportation sectors are going through major changes as a result of technological advances , depletion of fossil fuels and climate change . With regard to the energy sector , the future smart grid is expected to be an interconnected network of small-scale and self-contained microgrids , in addition to a large-scale electric power backbone .
However , the efficient management of the electric vehicle fleet is not exempt from challenges . It calls for the involvement of all actors directly or indirectly related to the energy and transportation sectors , ranging from governments , automakers and transmission system operators , to the ultimate beneficiary of the change : the end-user . An electric vehicle is primarily to be used to satisfy driving needs , and accordingly charging policies must be designed primarily for this purpose .
Results show that TTDSMH can improve robustness . The proposed strategy can be applied in intelligent transportation tools for railway timetabling .
The problem of pneumatical mass transportation is-using minimal energy-an open problem up to now . The present paper uses stochastical methods for the approximation of the solution .
This document aims to describe the development of the project “ AUTOMATION OF AN INDUSTRIAL REFRIGERATION SYSTEM THROUGH A PLC , AN HMI INTERFACE AND REMOTE CONTROL FROM MOBILE DEVICES ” , which will be executed through the Ilusol Company owned by Engineer Alvaro Carrera , which is oriented to the provision of electrical and automation services . This project aims to provide a solution to the industrial refrigeration system of a liquid chiller unit used in the production of ice cubes , for the transportation of shrimp . For this , the automation equipment will be used , such as : a PLC , an HMI and an additional remote control will be configured from a mobile device .
Note to Practitioners — The work reported in this article will be useful for deploying multirobot teams to support complex logistics missions spread over a large area where the robots must be prepared to handle contingencies that can adversely impact the mission . The proposed proactive approach can be used to handle contingencies in information gathering , surveillance , guarding , and situational awareness tasks to support safe and secure transportation of important assets through crowded areas . We use port operation as an illustrative example where unmanned surface and aerial vehicles can be useful in ensuring the safety and security of the ports .
BACKGROUND AND OBJECTIVE Developed electronic mechanisms frequently deal with defies about thermal management from developed phase of heat diminution or generation of available surface area regarding heat exclusion . Such promising defy can be subjugated either by introducing an optimal geometry for chilling equipments or intensifying heat transportation attributes . Nanoliquid in this perspective executes an extraordinary function to address all such matters .
The emergence of advanced communication technology has created opportunities to improve transportation in supply chains across the globe . In this paper the main contributors to inefficiencies in present road transportation chains are identified . The paper goes on to describe approaches taken by stakeholders to improve their operational efficiency .
The multi-vehicle combined transportation of large-scale equipment or goods is studied , and various combined transportation modes are obtained . The research on four-vehicle combined transportation is studied , the four transport vehicles must ensure synchronization in the process of running , and the steering must be coordinated , otherwise major accidents may occur .
In this paper , extensions of wireless LAN technology needed to support transportation safety applications and general multimedia to the car are introduced . Based on the collection of IEEE 802.11 protocols , the proposed standard specifies additional requirements associated with the vehicular environment .
Yet , many studies have reported high underreporting rates due to the participants ’ burden to fill in daily details of their activities ( Bricka & Bhat , 2006 ) . As a result , research has emerged in the previous decade attempting to infer the transportation mode from GPS data . This inference could largely replace or complete a lot of the feedback required by users when labelling and tagging travel diaries .
Recurrent connections seem to rely heavily on competitive inhibition and other feedback to make object recognition more robust [ 38 , 39 ] . In the context of computer vision , RL has been shown to be able to learn saccades in visual scenes to learn selective attention [ 40 , 41 ] , learn feedback to lower levels [ 42 , 43 ] , and improve face recognition [ 44 , 45 ] . It has been shown to be effective for object recognition [ 46 ] , and has also been combined with traditional computer vision primitives [ 47 ] . Iterative processing of images using recurrency has been successfully used for image reconstruction [ 48 ] , face - localization [ 49 ] and compression [ 50 ] . All these approaches show that recurrency in processing and an RL perspective can lead to novel algorithms that improve performance .
SP Postgraduate Course Work Programs: An Australian Experience Numerical Spread: Quantifying Local Stationarity Phase unwrapping as an ill-posed problem: performance comparison between a neural-network-based approach and a stochastic search method Comparative Study on Analytic Data Smoothing Method of High Speed Video New Contribution on Compression Color Images: Analysis and Synthesis for Telemedicine Applications Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation A Novel Ammonic Conversion Algorithm for Securing Data in DNA using Parabolic Encryption First Practical Side-channel Attack to Defeat Point Randomization in Secure Implementations of Pairing-based Cryptography Pairing-Based Cryptography on the Internet of Things: A Feasibility Study NanoECC: Testing the Limits of Elliptic Curve Cryptography in Sensor Networks The SwitchWare active network architecture Detection of invalid routing announcements in RIP protocol Detection of invalid routing announcement in the Internet Practical Stabilization of Counterfactual Quantum Cryptography Enhancing the Perceived Visual Quality of a Size Invariant Visual Cryptography Scheme Multiplication and Squaring with Shifting Primes on OpenRISC Processors with Hardware Multiplier Analyses and New Designs of Digital Chaotic Ciphers Full-field mode sorter using two optimized phase transformations for high-dimensional quantum cryptography Nonlinear-Feedback Shift Registers for Stream Ciphers Unlocking Ideas: Using Escape Room Puzzles in a Cryptography Classroom Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features Ambient Ecologies in Smart Homes Multiplicity computing: a vision of software engineering for next-generation computing platform applications The Role of Service Abstraction and Service Variability and Its Impact on Requirements Engineering for Service-Oriented Systems Supporting product configuration in application engineering using EXConfig On generic method models An Ontology-Based Product Architecture Derivation Approach Comparative study of some numerical methods to solve a 3D advection-diffusion equation Displacement prediction in geotechnical engineering based on evolutionary neural network EXPLORING STUDENTS' UNDERSTANDING OF ORDINARY DIFFERENTIAL EQUATIONS USING COMPUTER ALGEBRAIC SYSTEM (CAS) Evaluating the Performances of Adaptive Kalman Filter Methods in GPS/INS Integration The maturity of computational electromagnetics: Are we there yet? Bioengineering the biosphere Engineering geo-engineering User interfaces for structural engineering relational data base Balancing search direction in cultural algorithm for enhanced global numerical optimization Discussion on the Microcontroller Teaching Mode Aimed at Improving Engineering Application Ability Social Big-Data-Based Content Dissemination in Internet of Vehicles CTS: The New Generation Intelligent Transportation System Joint relay selection and spectrum allocation in d2d-based cooperative vehicular networks Optimal sizing and operation planning of microgrids and operation analysis of charging stations for electric vehicles Optimal charging of an electric vehicle using a Markov decision process Improving train service reliability by applying an effective timetable robustness strategy UNTERSUCHUNG DER BEWEGUNG DER IN WAAGERECHTEM ROHRE MIT STRÖMENDEM GAS GEFÖRDERTEN KÖRNIGEN STOFFE AUTOMATIZACIÓN DE UN SISTEMA DE REFRIGERACIÓN INDUSTRIAL MEDIANTE UN PLC, INTERFACE HMI Y CONTROL REMOTO DESDE DISPOSITIVOS MÓVILES Incorporation of Contingency Tasks in Task Allocation for Multirobot Teams Entropy optimized stretching flow based on non-Newtonian radiative nanoliquid under binary chemical reaction A simulation strategy to optimize the design of internet enabled logistics services Research on Cooperative Control of the Hydraulic System of Multiple Intelligent Vehicles Combined Transportation Wireless LAN extensions for vehicular environments and the control channel capacity Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification Deep Networks with Internal Selective Attention through Feedback Connections
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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) SECRYPT WWIC EWSN GLOBECOM DSN ICICS FoSER COMPSAC SPLC SIS IBICA ICTC ITSC Comput. Environ. Urban Syst. NIPS
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