Multiple access and resource management in wireless networks Radio resource management of mobile networks is a set of algorithms to manage the use of radio resources with the aim is to maximize the total capacity of wireless systems with equal distribution of resources to users . Management of radio resources in cellular networks is usually located in the base station controller , the base station and the mobile terminal , and is based on decisions made on appropriate measurement and feedback . It is often defined as the maximum volume of traffic load that the system can provide for some of the requirements for the quality of service . In this paper , we addressed the problem of improving call-based QoS measurement accuracy with the focus on call blocking probability as monitored via the active measurement or test drives in cellular-type networks . The system has been modelled as continuous time Markov chains with necessary assumption of Poisson traffics for both actual load and injected or intrusive load . With a product-form solution , a convenient formula has been derived to map the value of call blocking probability as seen by the intrusive traffic to the true value of call blocking probability of actual traffic in the non-intrusive system . With the derived corrective factor , QoS measurement can be accurately measured and regulated . Consequently , the cellular-type networks so widely used for wide-area , mobile communication platforms of ITS can be better engineered and hopefully become a dependable foundation for ongoing as well as future ITS developments . The intent of 4 G technology is to converge high speed data application requirements and compete with other technologies . Different techniques i.e relaying , carrier aggregation , multiple input multiple output , and heterogeneous networks provide higher throughputs , low latency and enable LTE to become a Standard for Wireless broadband . Due to almost exponential increase in demand for high data rates it is expected that network will be occupied by more resource demanding applications . In sharp contrast with them , task scheduling using the divisible load theory may result in analytical solver . In this paper , scheduling divisible load on heterogeneous bus networks is studied . Three aspects including processor selection , scheduling sequence , and share for each processor are discussed in detail . An optimal real-time divisible load scheduling algorithm with start-up costs was presented for heterogeneous bus networks . Firstly , real-time divisible load optimized scheduling model was built , which can minimize compute resources while satisfying the restriction of task′s deadline . In this paper application of ATM network techniques to new naval combat systems is studied . The concept of an extended combat system naval force and coast based sensors networks and to keep end-to-end QoS through heterogeneous interconnected networks including Internet is discussed . Security enhancement is possible over classical ATM with a light AAL adaptation that can insure optimal data transfer time with minimal cell losses . However , securing these systems from cyber security threats is an emerging research area . Since initial deployment , BAS have evolved from isolated standalone networks to heterogeneous , interconnected networks allowing external connectivity through the Internet . The most prominent BAS protocol is BACnet/IP , which is estimated to hold 54.6 % of world market share . Modeling paradigms investigated included , causal graphical models , stability and reconstruction operations models ( SROM ) , concept graphs , concept maps , and various tools for building neural network models and production rules . Also included are results of investigations , recommendations for resolving model incompatibilities , methods for reasoning with heterogeneous networks of models , and a system design specification . Access policies are applied on open and closed group . The performance is measured in terms of cell edge throughputs , peak throughputs , average throughputs , wideband SINR , spectral efficiency , and fairness index for homogeneous , heterogeneous networks and for user mobility . The performance result showed that Best CQI and MaxTP scheduler outperforms in throughput level and attains highest average cell throughput of 83 Mbps and UE average throughput of 20 mbps in homogeneous networks and approximately 43 Mbps in heterogeneous networks . Further , different topologies are studied in which large degree distribution exponents may alleviate or avoid the occurrence of traffic congestion efficiently . Compared with random networks , it is also found that scale-free networks can bear larger volume of traffic by our model . Finally , based on the concept of routing guide system ( RGS ) , we give a dynamic traffic control model ( DTCM ) by extending DTM . And the dynamics of traffic congestion is studied numerically . By investigating the effectiveness of the proposed mechanism for scale-free and random networks , we find that the traffic congestion and critical load-generating rate are strongly dependent on the unoccupied capacity , the topology and the size of traffic networks . By using computer simulations , we investigate ratio of propagation and spread of chaotic behavior by changing the initial chaos position . We compare their differences of simulation results in scale-free and random networks . From the simulation result , in scale-free network , the ratio of propagation is effected by clustering coefficient and path length . Results of the simulations demonstrate the feasibility of our approach . The proposed tool is able to generate and manage large scale-free networks composed of thousands of nodes interacting following real-world dissemination protocols . While shortest paths in WordNet are known to correlate well with semantic similarity , an is-a hierarchy is less suited for estimating semantic relatedness . We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia ) to WordNet . Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics . This creates the need for generative network models based on the existing data . Dark networks show different characteristics than the other scale-free real world networks , in order to maintain the covert nature while remaining functional . In this work , we present the analysis of the layers of three terrorist multilayered networks . This thesis proposes , describes and validates solutions to enhance mobility in heterogeneous access networks . Wireless access networks have become available almost everywhere and current research s ... Furthermore , the present invention is to context transfer , relates to a mobile terminal specially adapted to perform the provided methods . To facilitate a context transfer between heterogeneous access networks , the present invention takes into account the respective access technology , and capabilities and parameters associated to the mobile terminal , the neighboring access networks capacity and based on the parameter at least one of introducing a context transfer manager generating a context ( Figure 5 ) . Moreover , the context transfer manager , along with common to heterogeneous access networks group in a communication network , performing context transfers related to a specific mobile terminal . Abstract Fifth generation ( 5 G ) Vehicular Cloud Computing ( VCC ) systems use heterogeneous network access technologies to fulfill the requirements of modern services . Multiple services with different Quality of Service ( QoS ) constraints could be available in each vehicle , while at the same time , user requirements and provider policies must be addressed . I ABSTRACT The Delay Tolerant Network ( DTN ) is a network architecture which has the capability of overcoming difficulties posed by the disruptive nature of challenged networks . It is suitable for deployments that have infrastructure constraints whereby connectivity among peers is intermittent and interoperability in heterogeneous network access technologies is a requirement . In the existing DTN implementation , there are some issues with the discovery mechanism , convergence layers , security and routing protocols . Basically , the necessity for connectivity anywhere and anytime is becoming a must for many users . Future wireless connectivity will be provided through a mix of coexisting heterogeneous network access technologies . These access networks will adapt to the All-IP approach and offer different performance and coverage and may overlap . Traditional perspective on mobility and QoS resource management is summarized . Scenarios of heterogeneous multi-access networks are introduced , and new requirements are analysed . Three main tasks of connectivity management are presented . With the increasing deployment of wireless overlay networks , a mobile node with a range of network interfaces can be connected to multiple heterogeneous or homogeneous access networks simultaneously . Such host multihoming technology can be exploited to distribute ( or hand off ) application flows among the most appropriate interfaces and access networks dynamically to achieve end-to-end seamless , robust and even quality-of-service-aware communications for mobile users . We employ random linear network coding to simplify the packet selection strategies and alleviate issues such as duplicate packet re ception . Then , we study the problem of media streaming from multiple cost-heterogeneous access networks . Our objective is to characterize analytically the trade-off between access cost and user experience . Fortunately , heterogeneous wireless access networks are able to provide speedy , cost efficient , customized and self-reliant solution in such a complicated communication scenario . In this paper , we present a brief survey of various heterogeneous access network architectures , the key challenges and future architectural trends . The present invention discloses a method for secure detection in a heterogeneous network , the apparatus and system , the UE has a dual / multi-connection with the base station across a heterogeneous network access network and LPN MeNB construction , responsible for the LPN data distribution , the split in RB hierarchy ; MeNB by receiving a report message from the LPN and Backhaul between LPN interface message carries between LPN and the UE transmits data amount / receiving the report ; between the MeNB and the UE information transmission control plane comparison between the access network and the UE is actually transmitted / received data amount to detect whether an interrupt attacker . The present invention is deployed and LPN MeNB heterogeneous network , to provide services for the UE joint transmission , and the present invention further improve the safety performance of said network , for a variety of Backhaul link , can be safely and efficiently for the UE to provide a good joint transmission services . 5 G networks are expected to resolve these problems , by bringing in advanced flexibility of deployment through the Cloud-RAN concept , and new air interfaces . Dense Heterogeneous Networks will also assist in the smooth transition to a holistic approach for managing the wireless network , especially through their integration at the base station level . Nevertheless , networks operating under a very tight spectral environment , with limited spectrum resources , need to be aware of their expected performance in order to optimally decide their operating frequency . Self-organizing networks ( SONs ) can help to manage the severe interference in dense heterogeneous networks ( HetNets ) . Given their need to automatically configure power and other settings , machine learning is a promising tool for data-driven decision making in SONs . System requirements in the multiprocessor environment as well as the cost-performance trade-offs of the cache system design are given in detail . The possibility of sharing the cache system hardware with other multiprocessing facilities ( such as dynamic address translation , storage protection , locks , serialization , and the system clocks ) is also discussed . Finally , it implemented the storage protection mechanism on FPGA , and achieved the validation as well . Results show that the design can satisfy the desired access right allocation , and can provide fundamental read-write protection for the design of more complex storage protection by software-hardware co-design method . Moreover , it remains immune to the current transformer saturation problems . In the end , comparative evaluation of the proposed scheme with the existing busbar protection schemes proves its superiority in terms of stability against external faults , sensitivity for internal faults , computational obligations , and communication requirements . Comparison between the simulation and prototype results clearly shows the effectiveness of the proposed scheme in terms of higher sensitivity during internal faults and better stability in case of external faults . The proposed protection scheme has a high response speed ( around 5 ms ) and hence can be considered on par with modern busbar protection schemes . To overcome the contradiction between speed and reliability in existing busbar protection schemes , a new busbar protection algorithm based on a polarity comparison of fundamental frequency currents is proposed . The algorithm extracts the fundamental frequency components of the fault reference current and the virtual current through a wavelet transform . In this paper , trusted protection theories and technologies for ICS were studied and an integrated trusted protection model was proposed . The proposed method protected data and system security of ICS from aspects of trusted computing platform , trusted data protection mechanism and trust management network . The trusted protection technologies were deployed on each of the three network layers of ICS according to differentiated resource and security requirements of each layer . The rapid increase of software vulnerabilities shows us the limitation of patch-dependent countermeasures for malicious code . We propose a patch-independent protection technique of remote infection which enables each process to identify itself with ” being infected ” and nullify itself spontaneously . Our system is operating system independent and therefore does not need software rebuilding . Disclosed is a method of drilling a well , such as an oil and / or gas well , wherein , the process control parameters are controlled through the machine controls , where a drilling a well by controlling said process control parameters through said machine controllers with drilling instructions , and wherein process values ​​provided , for as measured and added continuously or repeatedly enter a protective costing unit , wherein ( a ) the protection costing unit , continuous or repeated calculated protection limits prosesstyringsparametere derived from process boundaries , so that at least some of said Shielding cleans constitute limits for performing process parameter related protection packets ; ( B ) limiting the control output to remain inside said protective packages , when said controllers adapted to hold said control outputs within said protection packages and thereby prevent the drill instructions resulting in utforelsesprosesstyringsparametere outside said protective package ; said protection costing unit comprises continuously calibrated drilling process models enabling the calculation of the protection boundaries of said utforelsesprosesstyringsparametere , where the calculation is based on at least one of the following limits : - downhole pressure limits - wellbore stability limits , - mechanical rudder limits , which limits , as well as the current process values , wherein said protection calculations performed by iterative calculations until protection limits converge . x86 ISA has implemented a very complex protection mechanism , and to fully emulate which means a great labor for system emulators . The paper provides a technic , named protection cache , that can accelerate x86 protection mechanism emulation , by caching and reusing recently accessed descriptors and recently generated protection checking results . Evaluation demonstrates that , when protection cache is enabled , emulation performance of x86 instructions or operations related to protection checking gets a speedup of 11%~24.5 % , and performance of system call , page fault handling and I/O intensive applications that frequently using aforementioned instructions or operations are all steadily improved . Among those well-designed BICM-ID systems , we observe that some of the channel encoders and signal mappers are inherently with the capability of multilevel protection . A new scheduling rule called protection matching which can properly schedule the data flow between the channel encoder and signal mapper with respect to the multilevel protection capability is proposed to achieve further performance improvement . Not only theoretical analysis but also simulation results are given to verify the advantage of the proposed design . The invention discloses a wiper protection device comprising a central control module , a first four-position plug connected with the central control module and terminals which are connected with the central control module and correspond to each wiper , and the terminals are fixed on wiper arms of the wipers . The device can lead the central control module to not only judge whether a rocker arm of each terminal is driven to the corresponding position or not , but also detect the position located by each rocker arm in a real-time manner during the driving process and emit warning information to an electrical system of a motor vehicle when the rocker arms can not be driven into place due to mechanical failure by using a closed-loop control system . The article states the principle of transformer 's differential protection , analyses what result in the disequilibrated current in differential protection , and puts forward some corresponding preventatial methods . Guarding against network intrusions requires the monitoring of network traffic for particular network segments or devices and analysis of network , transport , and application protocols to identify suspicious activity . This chapter provides a detailed discussion of network-based intrusion protection technologies . It contains a brief overview of the major components of network-based intrusion protection systems and explains the architectures typically used for deploying the components . Motivation : A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity‐based methods for predicting drug‐target associations based on the array of varying features of drugs and their targets . Deep learning reveals features of vertices of a large network that can be adapted in accommodating the similarity‐based solutions to provide a flexible method of drug‐target prediction . Power Line Communication ( PLC ) has become an integral part of home area networks ( HANs ) with increasing deployment of intelligent and connected devices . The advent of smart devices creates a heterogeneous type of network with a variety of throughput and delay sensitive applications that must coexist in the HAN . Meeting the quality of service ( QoS ) for various applications requires high MAC throughput , low channel access delay and prioritized channel access for certain types of data . The characteristics of devices and communication links of these types of models vary largely leading to high degree of heterogeneity . The applications designed for such a heterogeneous type of network faces challenges such as frequent network partition , communication link failure , data node crash and variations in the performance of network links etc . Replication of data is a technique which increases data availability in case of occurrence of problems as mentioned above . The military has 5 domains of operations : Land , Sea , Air , Space and now Cyber . This 5th Domain is a heterogeneous network ( of networks ) of Communication and Information Systems ( CIS ) which were designed and accredited to meet Netcentric capability requirements ; to be robust , secure and functional to the organisation ’s needs . Those needs have changed . However , the Internet was never architected to provide the stringent requirements of such modern and futuristic distributed applications . It was created as a heterogeneous network of networks , and its design enables various entities to interact with each other in a “ best effort ” fashion . Guarantees on high performance , availability , scalability and security are not inherently provided on the Internet in accordance with its best effort design principle . A congestion-aware proactive vertical handoff algorithm is proposed , which uses a data pre-deployment technology to realise soft handoff between cellular interface and ad hoc interface . Here , the vertical handoff algorithm is implemented in an experimental heterogeneous network structure called converged ad hoc and cellular network , which is an ad hoc overlay system considering the balancing of the traffic between adjacent cellular cells . By evaluations , it is shown that the proposed algorithm can realise low handoff delay and low packet losses , and help to ease congestion issue existing in the heterogeneous networks . Scalable video coding ( SVC ) and transmission has been a research topic for many years . Among other objectives , it aims to support different receiving devices , perhaps connected through a heterogeneous network structure , using a single bit stream . Earlier attempts of standardized scalable video coding , for example in MPEG-2 , H.263 , or MPEG-4 Visual , have not been commercially successful . One type is that the agents are of the same high-order dynamics , and the interconnection topologies of the information flow in different orders are supposed to be different . It is proved that a heterogeneous-topology network is controllable if and only if the first-order information topology is leader-follower connected , and there exists a Laplacian matrix , which is a linear combination of the Laplacian matrices of each order information , whose corresponding topology is controllable . The other type is that the agents are of generic linear dynamics , and the dynamics are supposed to be heterogeneous . An extensible framework was proposed to implement the hierarchical and adaptive control andfeedback mechanism of layered MPEG-4 video multicast transmission in DirectShow architecture . In ourframework , layers of MPEG-4 video and FEC data are wrapped dynamically in RTP packets to pass through theheterogeneous network effectively . An adaptive control center is designed to control the actions of the related Our deep network for 3D object box regression from images and sparse point clouds has three main components : an off - the - shelf CNN that extracts appearance and geometry features from input RGB image crops , a variant of PointNet that processes the raw 3D point cloud , and a fusion sub - network that combines the two outputs to predict 3D bounding boxes . This heterogeneous network architecture , as shown in Fig . [ reference ] , takes full advantage of the two data sources without introducing any data processing biases . Since all of these extensions and different architectures come with their own parameters and training procedures the question arises which components of CNNs are actually necessary for achieving state of the art performance on current object recognition datasets . We take a first step towards answering this question by studying the most simple architecture we could conceive : a homogeneous network solely consisting of convolutional layers , with occasional dimensionality reduction by using a stride of 2 . Surprisingly , we find that this basic architecture – trained using vanilla stochastic gradient descent with momentum – reaches state of the art performance without the need for complicated activation functions , any response normalization or max - pooling . We characterize a two tier heterogeneous network , consisting of classical sub-6GHz macro cells , and multi Radio Access Technology ( RAT ) small cells able to operate in sub-6GHz and millimeter-wave ( mm-wave ) bands . For optimizing coverage and to balance loads , we propose a two-step mechanism based on two biases for tuning the tier and RAT selection , where the sub-6GHz band is used to speed-up the initial access procedure in the mm-wave RAT . In addition , devices belonging to a same group have to contend for channel , and thus severe collisions may occur in a large size group . In this paper , we propose a sequential transmission scheme , which provides an efficient way of source management in the S1 G WLANs by considering the traffic loads and allocating channel access times of the devices . Through conducting mathematical analysis and performing simulations , we prove that our proposed protocol can enhance the performance of the S1 G WLANs for the IoT environments . We give algorithms for both the uplink and downlink , determine their performance and analyse their implementation complexity . It is shown that OFDM/SDMA enables high-capacity WLANs at reasonable implementation complexity . Wireless LANs ( WLANs ) still offer low capacity compared to conventional wired LANs . The design of high-capacity WLANs is impeded mainly by the impairments of the indoor channel and by bandwidth and transmit-power restrictions . To mitigate these , Vandenameele et al. ( 1999 ) proposed an OFDM/SDMA approach that combines the advantages of orthogonal frequency division multiplexing ( OFDM ) with those of space division multiple access ( SDMA ) . Simulations based on Network Simulator 2 ( NS-2 ) are conducted to verify the performance of the analytical model . The results show that the proposed model provides superior accuracy for the perceived quality of MPEG-4 video streaming over IEEE 802.11e EDCF-based WLANs . Emerging standards for broadband wireless LANs ( WLANs ) such as IEEE802.11a , Hiperlan-II and MMAC require orthogonal frequency division multiplex ( OFDM ) modulation for the physical layer ( PHY ) interface . OFDM modems were previously realized in the context of very high speed digital subscriber lines ( VDSL ) and digital audio broadcast ( DAB ) . Traffic load in any 802.11 infrastructure mode network is typically distributed unevenly between access points ( APs ) , creating hotspots . This is due to the inherent nature of wireless area networks ( WLANs ) , where stations are free to associate to any known AP they desire , and the lack of control by the APs themselves . This imbalance creates a condition where affected APs in the network suffer traffic congestion while others are underutilized , leading to stations experiencing lower throughput , longer latency , and operating below the network potential capacity . In the OFDM communication context , such an algorithm still have a linear arithmetical complexity . However , it yields to an SNR improvement going up to 3 dB compared to classical training sequences based channel estimation method in the context of 5 GHz OFDM WLANs . The new algorithm performs better than already existing recursive algorithms and use much less prior information on the channel coefficients . Abstract Institute of Electrical and Electronics Engineers ( IEEE ) 802.11ax , as the next generation wireless local area networks ( WLANs ) standard , which introduces many new media access control ( MAC ) technologies , can increase the access efficiency greatly . Unlike traditional IEEE 802.11 protocol using random access mode , the draft of IEEE 802.11ax introduced an innovative hybrid uplink access mechanism including scheduled access and random access modes . The presented analytical model closely matches the results generated by simulation . For a given traffic scenario , IBFD systems exhibit higher power consumption , however at improved energy efficiency when compared to equivalent HD WLANs . ABSTRACT We have experienced an explosive increase of the IoT(Internet of Things ) technology based devices including smart phones and the wireless communications . Also the growing power consumption in IEEE 802.11 WLANs(Wireless LANs ) driven by these dramatic increases in not only mobile users and but also wireless APs(Access Points ) . To reduce the power consumption , this paper proposes a wireless AP power saving algorithm , which minimizes the transmission power without decrease the transmission and carrier sense ranges . In this first analysis , we see that these 60 GHz devices have a large performance gap for the achieved communication range as well as a very low spatial reuse . However , they are still suitable for low density WLANs and for next generation aerial micro cell stations . Seeing that these COTS devices are not as directional as literature suggests , we analyze how channels are not as frequency stable as expected due to the large amount of reflected signals .
Multiple access and resource management in wireless networks Radio resource management of mobile networks is a set of algorithms to manage the use of radio resources with the aim is to maximize the total capacity of wireless systems with equal distribution of resources to users . Management of radio resources in cellular networks is usually located in the base station controller , the base station and the mobile terminal , and is based on decisions made on appropriate measurement and feedback . It is often defined as the maximum volume of traffic load that the system can provide for some of the requirements for the quality of service .
In this paper , we addressed the problem of improving call-based QoS measurement accuracy with the focus on call blocking probability as monitored via the active measurement or test drives in cellular-type networks . The system has been modelled as continuous time Markov chains with necessary assumption of Poisson traffics for both actual load and injected or intrusive load . With a product-form solution , a convenient formula has been derived to map the value of call blocking probability as seen by the intrusive traffic to the true value of call blocking probability of actual traffic in the non-intrusive system . With the derived corrective factor , QoS measurement can be accurately measured and regulated . Consequently , the cellular-type networks so widely used for wide-area , mobile communication platforms of ITS can be better engineered and hopefully become a dependable foundation for ongoing as well as future ITS developments .
The intent of 4 G technology is to converge high speed data application requirements and compete with other technologies . Different techniques i.e relaying , carrier aggregation , multiple input multiple output , and heterogeneous networks provide higher throughputs , low latency and enable LTE to become a Standard for Wireless broadband . Due to almost exponential increase in demand for high data rates it is expected that network will be occupied by more resource demanding applications .
In sharp contrast with them , task scheduling using the divisible load theory may result in analytical solver . In this paper , scheduling divisible load on heterogeneous bus networks is studied . Three aspects including processor selection , scheduling sequence , and share for each processor are discussed in detail .
An optimal real-time divisible load scheduling algorithm with start-up costs was presented for heterogeneous bus networks . Firstly , real-time divisible load optimized scheduling model was built , which can minimize compute resources while satisfying the restriction of task′s deadline .
In this paper application of ATM network techniques to new naval combat systems is studied . The concept of an extended combat system naval force and coast based sensors networks and to keep end-to-end QoS through heterogeneous interconnected networks including Internet is discussed . Security enhancement is possible over classical ATM with a light AAL adaptation that can insure optimal data transfer time with minimal cell losses .
However , securing these systems from cyber security threats is an emerging research area . Since initial deployment , BAS have evolved from isolated standalone networks to heterogeneous , interconnected networks allowing external connectivity through the Internet . The most prominent BAS protocol is BACnet/IP , which is estimated to hold 54.6 % of world market share .
Modeling paradigms investigated included , causal graphical models , stability and reconstruction operations models ( SROM ) , concept graphs , concept maps , and various tools for building neural network models and production rules . Also included are results of investigations , recommendations for resolving model incompatibilities , methods for reasoning with heterogeneous networks of models , and a system design specification .
Access policies are applied on open and closed group . The performance is measured in terms of cell edge throughputs , peak throughputs , average throughputs , wideband SINR , spectral efficiency , and fairness index for homogeneous , heterogeneous networks and for user mobility . The performance result showed that Best CQI and MaxTP scheduler outperforms in throughput level and attains highest average cell throughput of 83 Mbps and UE average throughput of 20 mbps in homogeneous networks and approximately 43 Mbps in heterogeneous networks .
Further , different topologies are studied in which large degree distribution exponents may alleviate or avoid the occurrence of traffic congestion efficiently . Compared with random networks , it is also found that scale-free networks can bear larger volume of traffic by our model . Finally , based on the concept of routing guide system ( RGS ) , we give a dynamic traffic control model ( DTCM ) by extending DTM .
And the dynamics of traffic congestion is studied numerically . By investigating the effectiveness of the proposed mechanism for scale-free and random networks , we find that the traffic congestion and critical load-generating rate are strongly dependent on the unoccupied capacity , the topology and the size of traffic networks .
By using computer simulations , we investigate ratio of propagation and spread of chaotic behavior by changing the initial chaos position . We compare their differences of simulation results in scale-free and random networks . From the simulation result , in scale-free network , the ratio of propagation is effected by clustering coefficient and path length .
Results of the simulations demonstrate the feasibility of our approach . The proposed tool is able to generate and manage large scale-free networks composed of thousands of nodes interacting following real-world dissemination protocols .
While shortest paths in WordNet are known to correlate well with semantic similarity , an is-a hierarchy is less suited for estimating semantic relatedness . We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia ) to WordNet . Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics .
This creates the need for generative network models based on the existing data . Dark networks show different characteristics than the other scale-free real world networks , in order to maintain the covert nature while remaining functional . In this work , we present the analysis of the layers of three terrorist multilayered networks .
This thesis proposes , describes and validates solutions to enhance mobility in heterogeneous access networks . Wireless access networks have become available almost everywhere and current research s ...
Furthermore , the present invention is to context transfer , relates to a mobile terminal specially adapted to perform the provided methods . To facilitate a context transfer between heterogeneous access networks , the present invention takes into account the respective access technology , and capabilities and parameters associated to the mobile terminal , the neighboring access networks capacity and based on the parameter at least one of introducing a context transfer manager generating a context ( Figure 5 ) . Moreover , the context transfer manager , along with common to heterogeneous access networks group in a communication network , performing context transfers related to a specific mobile terminal .
Abstract Fifth generation ( 5 G ) Vehicular Cloud Computing ( VCC ) systems use heterogeneous network access technologies to fulfill the requirements of modern services . Multiple services with different Quality of Service ( QoS ) constraints could be available in each vehicle , while at the same time , user requirements and provider policies must be addressed .
I ABSTRACT The Delay Tolerant Network ( DTN ) is a network architecture which has the capability of overcoming difficulties posed by the disruptive nature of challenged networks . It is suitable for deployments that have infrastructure constraints whereby connectivity among peers is intermittent and interoperability in heterogeneous network access technologies is a requirement . In the existing DTN implementation , there are some issues with the discovery mechanism , convergence layers , security and routing protocols .
Basically , the necessity for connectivity anywhere and anytime is becoming a must for many users . Future wireless connectivity will be provided through a mix of coexisting heterogeneous network access technologies . These access networks will adapt to the All-IP approach and offer different performance and coverage and may overlap .
Traditional perspective on mobility and QoS resource management is summarized . Scenarios of heterogeneous multi-access networks are introduced , and new requirements are analysed . Three main tasks of connectivity management are presented .
With the increasing deployment of wireless overlay networks , a mobile node with a range of network interfaces can be connected to multiple heterogeneous or homogeneous access networks simultaneously . Such host multihoming technology can be exploited to distribute ( or hand off ) application flows among the most appropriate interfaces and access networks dynamically to achieve end-to-end seamless , robust and even quality-of-service-aware communications for mobile users .
We employ random linear network coding to simplify the packet selection strategies and alleviate issues such as duplicate packet re ception . Then , we study the problem of media streaming from multiple cost-heterogeneous access networks . Our objective is to characterize analytically the trade-off between access cost and user experience .
Fortunately , heterogeneous wireless access networks are able to provide speedy , cost efficient , customized and self-reliant solution in such a complicated communication scenario . In this paper , we present a brief survey of various heterogeneous access network architectures , the key challenges and future architectural trends .
The present invention discloses a method for secure detection in a heterogeneous network , the apparatus and system , the UE has a dual / multi-connection with the base station across a heterogeneous network access network and LPN MeNB construction , responsible for the LPN data distribution , the split in RB hierarchy ; MeNB by receiving a report message from the LPN and Backhaul between LPN interface message carries between LPN and the UE transmits data amount / receiving the report ; between the MeNB and the UE information transmission control plane comparison between the access network and the UE is actually transmitted / received data amount to detect whether an interrupt attacker . The present invention is deployed and LPN MeNB heterogeneous network , to provide services for the UE joint transmission , and the present invention further improve the safety performance of said network , for a variety of Backhaul link , can be safely and efficiently for the UE to provide a good joint transmission services .
5 G networks are expected to resolve these problems , by bringing in advanced flexibility of deployment through the Cloud-RAN concept , and new air interfaces . Dense Heterogeneous Networks will also assist in the smooth transition to a holistic approach for managing the wireless network , especially through their integration at the base station level . Nevertheless , networks operating under a very tight spectral environment , with limited spectrum resources , need to be aware of their expected performance in order to optimally decide their operating frequency .
Self-organizing networks ( SONs ) can help to manage the severe interference in dense heterogeneous networks ( HetNets ) . Given their need to automatically configure power and other settings , machine learning is a promising tool for data-driven decision making in SONs .
System requirements in the multiprocessor environment as well as the cost-performance trade-offs of the cache system design are given in detail . The possibility of sharing the cache system hardware with other multiprocessing facilities ( such as dynamic address translation , storage protection , locks , serialization , and the system clocks ) is also discussed .
Finally , it implemented the storage protection mechanism on FPGA , and achieved the validation as well . Results show that the design can satisfy the desired access right allocation , and can provide fundamental read-write protection for the design of more complex storage protection by software-hardware co-design method .
Moreover , it remains immune to the current transformer saturation problems . In the end , comparative evaluation of the proposed scheme with the existing busbar protection schemes proves its superiority in terms of stability against external faults , sensitivity for internal faults , computational obligations , and communication requirements .
Comparison between the simulation and prototype results clearly shows the effectiveness of the proposed scheme in terms of higher sensitivity during internal faults and better stability in case of external faults . The proposed protection scheme has a high response speed ( around 5 ms ) and hence can be considered on par with modern busbar protection schemes .
To overcome the contradiction between speed and reliability in existing busbar protection schemes , a new busbar protection algorithm based on a polarity comparison of fundamental frequency currents is proposed . The algorithm extracts the fundamental frequency components of the fault reference current and the virtual current through a wavelet transform .
In this paper , trusted protection theories and technologies for ICS were studied and an integrated trusted protection model was proposed . The proposed method protected data and system security of ICS from aspects of trusted computing platform , trusted data protection mechanism and trust management network . The trusted protection technologies were deployed on each of the three network layers of ICS according to differentiated resource and security requirements of each layer .
The rapid increase of software vulnerabilities shows us the limitation of patch-dependent countermeasures for malicious code . We propose a patch-independent protection technique of remote infection which enables each process to identify itself with ” being infected ” and nullify itself spontaneously . Our system is operating system independent and therefore does not need software rebuilding .
Disclosed is a method of drilling a well , such as an oil and / or gas well , wherein , the process control parameters are controlled through the machine controls , where a drilling a well by controlling said process control parameters through said machine controllers with drilling instructions , and wherein process values ​​provided , for as measured and added continuously or repeatedly enter a protective costing unit , wherein ( a ) the protection costing unit , continuous or repeated calculated protection limits prosesstyringsparametere derived from process boundaries , so that at least some of said Shielding cleans constitute limits for performing process parameter related protection packets ; ( B ) limiting the control output to remain inside said protective packages , when said controllers adapted to hold said control outputs within said protection packages and thereby prevent the drill instructions resulting in utforelsesprosesstyringsparametere outside said protective package ; said protection costing unit comprises continuously calibrated drilling process models enabling the calculation of the protection boundaries of said utforelsesprosesstyringsparametere , where the calculation is based on at least one of the following limits : - downhole pressure limits - wellbore stability limits , - mechanical rudder limits , which limits , as well as the current process values , wherein said protection calculations performed by iterative calculations until protection limits converge .
x86 ISA has implemented a very complex protection mechanism , and to fully emulate which means a great labor for system emulators . The paper provides a technic , named protection cache , that can accelerate x86 protection mechanism emulation , by caching and reusing recently accessed descriptors and recently generated protection checking results . Evaluation demonstrates that , when protection cache is enabled , emulation performance of x86 instructions or operations related to protection checking gets a speedup of 11%~24.5 % , and performance of system call , page fault handling and I/O intensive applications that frequently using aforementioned instructions or operations are all steadily improved .
Among those well-designed BICM-ID systems , we observe that some of the channel encoders and signal mappers are inherently with the capability of multilevel protection . A new scheduling rule called protection matching which can properly schedule the data flow between the channel encoder and signal mapper with respect to the multilevel protection capability is proposed to achieve further performance improvement . Not only theoretical analysis but also simulation results are given to verify the advantage of the proposed design .
The invention discloses a wiper protection device comprising a central control module , a first four-position plug connected with the central control module and terminals which are connected with the central control module and correspond to each wiper , and the terminals are fixed on wiper arms of the wipers . The device can lead the central control module to not only judge whether a rocker arm of each terminal is driven to the corresponding position or not , but also detect the position located by each rocker arm in a real-time manner during the driving process and emit warning information to an electrical system of a motor vehicle when the rocker arms can not be driven into place due to mechanical failure by using a closed-loop control system .
The article states the principle of transformer 's differential protection , analyses what result in the disequilibrated current in differential protection , and puts forward some corresponding preventatial methods .
Guarding against network intrusions requires the monitoring of network traffic for particular network segments or devices and analysis of network , transport , and application protocols to identify suspicious activity . This chapter provides a detailed discussion of network-based intrusion protection technologies . It contains a brief overview of the major components of network-based intrusion protection systems and explains the architectures typically used for deploying the components .
Motivation : A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity‐based methods for predicting drug‐target associations based on the array of varying features of drugs and their targets . Deep learning reveals features of vertices of a large network that can be adapted in accommodating the similarity‐based solutions to provide a flexible method of drug‐target prediction .
Power Line Communication ( PLC ) has become an integral part of home area networks ( HANs ) with increasing deployment of intelligent and connected devices . The advent of smart devices creates a heterogeneous type of network with a variety of throughput and delay sensitive applications that must coexist in the HAN . Meeting the quality of service ( QoS ) for various applications requires high MAC throughput , low channel access delay and prioritized channel access for certain types of data .
The characteristics of devices and communication links of these types of models vary largely leading to high degree of heterogeneity . The applications designed for such a heterogeneous type of network faces challenges such as frequent network partition , communication link failure , data node crash and variations in the performance of network links etc . Replication of data is a technique which increases data availability in case of occurrence of problems as mentioned above .
The military has 5 domains of operations : Land , Sea , Air , Space and now Cyber . This 5th Domain is a heterogeneous network ( of networks ) of Communication and Information Systems ( CIS ) which were designed and accredited to meet Netcentric capability requirements ; to be robust , secure and functional to the organisation ’s needs . Those needs have changed .
However , the Internet was never architected to provide the stringent requirements of such modern and futuristic distributed applications . It was created as a heterogeneous network of networks , and its design enables various entities to interact with each other in a “ best effort ” fashion . Guarantees on high performance , availability , scalability and security are not inherently provided on the Internet in accordance with its best effort design principle .
A congestion-aware proactive vertical handoff algorithm is proposed , which uses a data pre-deployment technology to realise soft handoff between cellular interface and ad hoc interface . Here , the vertical handoff algorithm is implemented in an experimental heterogeneous network structure called converged ad hoc and cellular network , which is an ad hoc overlay system considering the balancing of the traffic between adjacent cellular cells . By evaluations , it is shown that the proposed algorithm can realise low handoff delay and low packet losses , and help to ease congestion issue existing in the heterogeneous networks .
Scalable video coding ( SVC ) and transmission has been a research topic for many years . Among other objectives , it aims to support different receiving devices , perhaps connected through a heterogeneous network structure , using a single bit stream . Earlier attempts of standardized scalable video coding , for example in MPEG-2 , H.263 , or MPEG-4 Visual , have not been commercially successful .
One type is that the agents are of the same high-order dynamics , and the interconnection topologies of the information flow in different orders are supposed to be different . It is proved that a heterogeneous-topology network is controllable if and only if the first-order information topology is leader-follower connected , and there exists a Laplacian matrix , which is a linear combination of the Laplacian matrices of each order information , whose corresponding topology is controllable . The other type is that the agents are of generic linear dynamics , and the dynamics are supposed to be heterogeneous .
An extensible framework was proposed to implement the hierarchical and adaptive control andfeedback mechanism of layered MPEG-4 video multicast transmission in DirectShow architecture . In ourframework , layers of MPEG-4 video and FEC data are wrapped dynamically in RTP packets to pass through theheterogeneous network effectively . An adaptive control center is designed to control the actions of the related
Our deep network for 3D object box regression from images and sparse point clouds has three main components : an off - the - shelf CNN that extracts appearance and geometry features from input RGB image crops , a variant of PointNet that processes the raw 3D point cloud , and a fusion sub - network that combines the two outputs to predict 3D bounding boxes . This heterogeneous network architecture , as shown in Fig . [ reference ] , takes full advantage of the two data sources without introducing any data processing biases .
Since all of these extensions and different architectures come with their own parameters and training procedures the question arises which components of CNNs are actually necessary for achieving state of the art performance on current object recognition datasets . We take a first step towards answering this question by studying the most simple architecture we could conceive : a homogeneous network solely consisting of convolutional layers , with occasional dimensionality reduction by using a stride of 2 . Surprisingly , we find that this basic architecture – trained using vanilla stochastic gradient descent with momentum – reaches state of the art performance without the need for complicated activation functions , any response normalization or max - pooling .
We characterize a two tier heterogeneous network , consisting of classical sub-6GHz macro cells , and multi Radio Access Technology ( RAT ) small cells able to operate in sub-6GHz and millimeter-wave ( mm-wave ) bands . For optimizing coverage and to balance loads , we propose a two-step mechanism based on two biases for tuning the tier and RAT selection , where the sub-6GHz band is used to speed-up the initial access procedure in the mm-wave RAT .
In addition , devices belonging to a same group have to contend for channel , and thus severe collisions may occur in a large size group . In this paper , we propose a sequential transmission scheme , which provides an efficient way of source management in the S1 G WLANs by considering the traffic loads and allocating channel access times of the devices . Through conducting mathematical analysis and performing simulations , we prove that our proposed protocol can enhance the performance of the S1 G WLANs for the IoT environments .
We give algorithms for both the uplink and downlink , determine their performance and analyse their implementation complexity . It is shown that OFDM/SDMA enables high-capacity WLANs at reasonable implementation complexity .
Wireless LANs ( WLANs ) still offer low capacity compared to conventional wired LANs . The design of high-capacity WLANs is impeded mainly by the impairments of the indoor channel and by bandwidth and transmit-power restrictions . To mitigate these , Vandenameele et al. ( 1999 ) proposed an OFDM/SDMA approach that combines the advantages of orthogonal frequency division multiplexing ( OFDM ) with those of space division multiple access ( SDMA ) .
Simulations based on Network Simulator 2 ( NS-2 ) are conducted to verify the performance of the analytical model . The results show that the proposed model provides superior accuracy for the perceived quality of MPEG-4 video streaming over IEEE 802.11e EDCF-based WLANs .
Emerging standards for broadband wireless LANs ( WLANs ) such as IEEE802.11a , Hiperlan-II and MMAC require orthogonal frequency division multiplex ( OFDM ) modulation for the physical layer ( PHY ) interface . OFDM modems were previously realized in the context of very high speed digital subscriber lines ( VDSL ) and digital audio broadcast ( DAB ) .
Traffic load in any 802.11 infrastructure mode network is typically distributed unevenly between access points ( APs ) , creating hotspots . This is due to the inherent nature of wireless area networks ( WLANs ) , where stations are free to associate to any known AP they desire , and the lack of control by the APs themselves . This imbalance creates a condition where affected APs in the network suffer traffic congestion while others are underutilized , leading to stations experiencing lower throughput , longer latency , and operating below the network potential capacity .
In the OFDM communication context , such an algorithm still have a linear arithmetical complexity . However , it yields to an SNR improvement going up to 3 dB compared to classical training sequences based channel estimation method in the context of 5 GHz OFDM WLANs . The new algorithm performs better than already existing recursive algorithms and use much less prior information on the channel coefficients .
Abstract Institute of Electrical and Electronics Engineers ( IEEE ) 802.11ax , as the next generation wireless local area networks ( WLANs ) standard , which introduces many new media access control ( MAC ) technologies , can increase the access efficiency greatly . Unlike traditional IEEE 802.11 protocol using random access mode , the draft of IEEE 802.11ax introduced an innovative hybrid uplink access mechanism including scheduled access and random access modes .
The presented analytical model closely matches the results generated by simulation . For a given traffic scenario , IBFD systems exhibit higher power consumption , however at improved energy efficiency when compared to equivalent HD WLANs .
ABSTRACT We have experienced an explosive increase of the IoT(Internet of Things ) technology based devices including smart phones and the wireless communications . Also the growing power consumption in IEEE 802.11 WLANs(Wireless LANs ) driven by these dramatic increases in not only mobile users and but also wireless APs(Access Points ) . To reduce the power consumption , this paper proposes a wireless AP power saving algorithm , which minimizes the transmission power without decrease the transmission and carrier sense ranges .
In this first analysis , we see that these 60 GHz devices have a large performance gap for the achieved communication range as well as a very low spatial reuse . However , they are still suitable for low density WLANs and for next generation aerial micro cell stations . Seeing that these COTS devices are not as directional as literature suggests , we analyze how channels are not as frequency stable as expected due to the large amount of reflected signals .
Adaptivno upravljanje prihvatanjem zahteva u WCDMA mreži Mathematical analysis for corrective performance evaluation of call based QoS in active measurement An evaluation of scheduling algorithms in LTE based 4G networks Optimal Algorithm for Scheduling Divisible Load on Heterogeneous Bus Networks Real-time Divisible Load Scheduling Algorithm on Heterogeneous Bus Networks with Start-up Costs Application of ATM network techniques to new naval combat systems Anomaly Detection in BACnet/IP managed Building Automation Systems A Framework for Building and Reasoning with Adaptive and Interoperable PMESII Models Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks Dynamic urban traffic flow behavior on scale-free networks Model for dynamic traffic congestion in scale-free networks Spread of chaotic behavior in scale-free and random networks Simulation of scale-free networks A semantic relatedness metric based on free link structure (short paper) A Generative Model for the Layers of Terrorist Networks Mobility management in heterogeneous access networks Transfer of context in a communication network comprising a plurality of heterogeneous access networks Mobility management on 5G Vehicular Cloud Computing systems Mechanisms to enhance versatility, robustness and reliability in delay tolerant networks Mobility Management Through IP Connectivity in Heterogeneous Wireless Access Networks In Secure Way By Using Ambient Networks From mobility management to connectivity management Design and evaluation of flow handoff signalling for multihomed mobile nodes in wireless overlay networks QoE-aware Media Streaming in Technology and Cost Heterogeneous Networks Architecture of heterogeneous wireless access networks: A short survey A method for secure detection in a heterogeneous network, the apparatus and system Enabling Distributed Spectral Awareness for Disaggregated 5G Ultra-Dense HetNets Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks Cache system design in the tightly coupled multiprocessor system Research and design of data storage protection mechanism for cryptographic SoC Initial travelling wavefront-based bus zone protection scheme Numerical busbar differential protection using generalised alpha plane New principle of busbar protection based on a fundamental frequency polarity comparison Integrated trusted protection technologies for industrial control systems Self Debugging Mode for Patch-Independent Nullification of Unknown Remote Process Infection The process feed and system for automated control of the drilling process Accelerate x86 System Emulation with Protection Cache Protection matching: A new scheduling rule for improved design of BICM-ID systems Wiper protection device and control method thereof Research About Transformer Differential Protection Chapter 3 – Guarding Against Network Intrusions Deep mining heterogeneous networks of biomedical linked data to predict novel drug‐target associations A delay and throughput study of adaptive contention window based HomePlug MAC with prioritized traffic classes Data Replication in Current Generation Computing Environment Bridging the air gap : an information assurance perspective Overlay Networks: An Akamai Perspective Congestion-aware proactive vertical handoff algorithm in heterogeneous wireless networks System and Transport Interface of SVC Controllability of Heterogeneous Multi-Agent Networks Adaptive DirectShow Framework for Layered MPEG-4 Video Multicast PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation Striving for Simplicity: The All Convolutional Net Coverage Analysis and Load Balancing in HetNets with mmWave Multi-RAT Small Cells Performance Improvement of Sub 1 GHz WLANs for Future IoT Environments A combined OFDM/SDMA approach for WLAN A novel class of uplink OFDM/SDMA algorithms for WLAN Video streaming transmission: performance modelling over wireless local area networks under saturation condition A digital 80 Mb/s OFDM transceiver IC for wireless LAN in the 5 GHz band Survey on Load-Balancing Methods in 802.11 Infrastructure Mode Wireless Networks for Improving Quality of Service Semi-blind channel estimation for OFDM systems via an EM-Block algorithm Utility maximization of capacity entropy for multi-user access for the next generation WLANs Power Consumption and Energy-Efficiency for In-Band Full-Duplex Wireless Systems A Wireless AP Power Saving Algorithm by Applying Sleep Mode and Transmission Power Coordination in IoT Environments Analysis and Performance Improvement of Consumer-Grade Millimeter Wave Wireless Networks
0f3985f2452b637cdb285e4b89be3b58d4068171 0f9fad2467a7330f9056a5cf71f2ce2549dc9b18 4b5a41363a21379eec95b513ceb568eab09a75d3 c1de5727c4dd08fc9ae0104ab2efb6b1a7389b82 28f9be61d237ba095a3debc682af551ae8bd2a7b 887962828fc8870c75fa0b6afaefd629fede6db9 804b626457e7dc365ac15653eab29315b47df9f6 61246b5d4b7afadb6407b47465d5522056caf6c4 323bc85d22653f0a3e82eb6ef37f2cfecf8ddd12 d9e2f6389e74a07eac79b6afd43e1311cdacdec1 48273570754046862457ce2b3d59cb267940c6d8 1579e9d27a551b62627b86217e2c5eb518c04b2e 1587f87e0314a35df4da32f6642ea527327cb0c4 01773c9f3e7d7ce704f5a9054a7dae2e736dffe8 464ceee41a065f16d1770daa96f272b128d682a4 5ac85537867e63b59f0a13993e6ee2893d393498 37c4830187000babde545ca1de68b6cf4a89ccd7 f5f36b6958d5dfb424305a9f0cbeaf411967e7c2 b0c62b9b5f7ec7f4f883d5612323dfd75df5d324 963d5c2b9a378b9830ed323638740657329e2c6c e22380b4d4bef8d7963bea061321f7a1a0606faf c07c847a4492a8f344d02f1335209c45718480b8 000ae1db3634eea1f30a11771d3d267fb2075a88 b53e97f53af86e73c15130c19019b5fa9ef35188 26226d28f14379e9b00c980e0656d756fea880aa 2541c5587a97aa5f1bfd8055f07d60f1b37b1146 45612f5a4a59479c30b9f5dfc35c38585534c7cd 531e0f9b33278042b3a07ed1e06f3bb65a12516f 196f132f4caac5bc1c11cbfdca76fa3a14061268 d08c05225ebe096805bff0d6e1ba76d7263ab6ac 3ef55459f956ceb6ddd599aee5d92df487f1bc42 1b6a734f788f6ce68be9a400603eabe2d05093fc 45524a0715f16fdba8966a40fde17a6fd5c12ee7 9ee37d85b50c3edd8443b431c841767589a4cdd6 9c1c8477bef86839dff4669d74ae589dbd0b5556 f3cce14d8850adf119d54176e6a6b044daba16f5 8ae52c12303ac12d25b937e2fcd377beed4b2130 3da99c921928ab9aaf7835ea1999ac5590a8542b 299c4f0e9cbe5949f0ac4d1cfbb3248205d4f421 6a929883a01357d6b6bb5f5db9407d1ad2d8a7aa 8ef131f8e043a47aebe50dae449ed42843a9749d 8df84bc6837faa766154859d80d7d55820f5d567 2c79aee8510dbf23f30c401e7262744cf2131291 d10a24bb5ff162b0b168eca3a42bbe36527a1625 fe20c9537ea0be2f2a79388a53e1f2fb4b7fe771 ff0746e3aa20d1372ec63a956c0135e4e7542013 725f3775c2e5605c1cfa3fcfe6a1cd7e1f7c7220 dc8231f9a1f3a7c8df8d4ce0c4ba5e4b72aeaf47 57c2da02fba2a97ada7758fc76fd4577ce8f5f6e 5341e05f2ff0e210887772404202899e1352daee 834958f94fa730185c0c7be2e177fde99d9d3dcc e432f577ea2beeee5742381458561d6e45fd7e93 c6b796c9807125cf551152341d30e356e067ca45 96f0622eb73b8ff1f008ce46b6f4e14e08242d8d 4fb6410790676402dd219776f9f978e16729add6 10686d4974af6b6870a8aa446e1633b4f2e8bdd7 37b903a53a52a3be9f667462959c45257d4b6cda d81530321c12cfa9f05d755866cd5755d156025d da47f125a3960bfbad60a733e7b44265fc273af5 99cbcb661b1d3218417ad7cedb4ad540b5011f91 468efedfb0f77632c90d3cf88777df95face3bb3
["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Mathematics"] ["Physics"] ["Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"] ["Computer Science"] ["Computer Science"] ["Engineering"] ["Engineering"] ["Medicine","Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Medicine"] ["Computer Science"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science","Mathematics"] ["Computer Science"] ["Mathematics"] ["Computer Science"] ["Mathematics"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"]
2013 2008 2015 2005 2011 2004 2019 2007 2020 2008 2006 2017 2009 2009 2017 2007 2004 2019 2010 2015 2005 2008 2012 2015 2013 2019 2018 1976 2011 2019 2018 2019 2015 2005 2009 2012 2009 2010 2008 2014 2017 2016 2017 2012 2014 2009 2007 2017 2003 2018 2015 2017 2017 1999 1999 2012 2000 2018 2004 2019 2014 2019
SimuTools IWCS ASONAM ISCC 5G World Forum AFIPS National Computer Conference CANS ISIT ISPLC Advanced Content Delivery, Streaming, and Cloud Services 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ICLR EUSIPCO
https://api.semanticscholar.org/0f3985f2452b637cdb285e4b89be3b58d4068171 https://api.semanticscholar.org/0f9fad2467a7330f9056a5cf71f2ce2549dc9b18 https://api.semanticscholar.org/4b5a41363a21379eec95b513ceb568eab09a75d3 https://api.semanticscholar.org/c1de5727c4dd08fc9ae0104ab2efb6b1a7389b82 https://api.semanticscholar.org/28f9be61d237ba095a3debc682af551ae8bd2a7b https://api.semanticscholar.org/887962828fc8870c75fa0b6afaefd629fede6db9 https://api.semanticscholar.org/804b626457e7dc365ac15653eab29315b47df9f6 https://api.semanticscholar.org/61246b5d4b7afadb6407b47465d5522056caf6c4 https://api.semanticscholar.org/323bc85d22653f0a3e82eb6ef37f2cfecf8ddd12 https://api.semanticscholar.org/d9e2f6389e74a07eac79b6afd43e1311cdacdec1 https://api.semanticscholar.org/48273570754046862457ce2b3d59cb267940c6d8 https://api.semanticscholar.org/1579e9d27a551b62627b86217e2c5eb518c04b2e https://api.semanticscholar.org/1587f87e0314a35df4da32f6642ea527327cb0c4 https://api.semanticscholar.org/01773c9f3e7d7ce704f5a9054a7dae2e736dffe8 https://api.semanticscholar.org/464ceee41a065f16d1770daa96f272b128d682a4 https://api.semanticscholar.org/5ac85537867e63b59f0a13993e6ee2893d393498 https://api.semanticscholar.org/37c4830187000babde545ca1de68b6cf4a89ccd7 https://api.semanticscholar.org/f5f36b6958d5dfb424305a9f0cbeaf411967e7c2 https://api.semanticscholar.org/b0c62b9b5f7ec7f4f883d5612323dfd75df5d324 https://api.semanticscholar.org/963d5c2b9a378b9830ed323638740657329e2c6c https://api.semanticscholar.org/e22380b4d4bef8d7963bea061321f7a1a0606faf https://api.semanticscholar.org/c07c847a4492a8f344d02f1335209c45718480b8 https://api.semanticscholar.org/000ae1db3634eea1f30a11771d3d267fb2075a88 https://api.semanticscholar.org/b53e97f53af86e73c15130c19019b5fa9ef35188 https://api.semanticscholar.org/26226d28f14379e9b00c980e0656d756fea880aa https://api.semanticscholar.org/2541c5587a97aa5f1bfd8055f07d60f1b37b1146 https://api.semanticscholar.org/45612f5a4a59479c30b9f5dfc35c38585534c7cd https://api.semanticscholar.org/531e0f9b33278042b3a07ed1e06f3bb65a12516f https://api.semanticscholar.org/196f132f4caac5bc1c11cbfdca76fa3a14061268 https://api.semanticscholar.org/d08c05225ebe096805bff0d6e1ba76d7263ab6ac https://api.semanticscholar.org/3ef55459f956ceb6ddd599aee5d92df487f1bc42 https://api.semanticscholar.org/1b6a734f788f6ce68be9a400603eabe2d05093fc https://api.semanticscholar.org/45524a0715f16fdba8966a40fde17a6fd5c12ee7 https://api.semanticscholar.org/9ee37d85b50c3edd8443b431c841767589a4cdd6 https://api.semanticscholar.org/9c1c8477bef86839dff4669d74ae589dbd0b5556 https://api.semanticscholar.org/f3cce14d8850adf119d54176e6a6b044daba16f5 https://api.semanticscholar.org/8ae52c12303ac12d25b937e2fcd377beed4b2130 https://api.semanticscholar.org/3da99c921928ab9aaf7835ea1999ac5590a8542b https://api.semanticscholar.org/299c4f0e9cbe5949f0ac4d1cfbb3248205d4f421 https://api.semanticscholar.org/6a929883a01357d6b6bb5f5db9407d1ad2d8a7aa https://api.semanticscholar.org/8ef131f8e043a47aebe50dae449ed42843a9749d https://api.semanticscholar.org/8df84bc6837faa766154859d80d7d55820f5d567 https://api.semanticscholar.org/2c79aee8510dbf23f30c401e7262744cf2131291 https://api.semanticscholar.org/d10a24bb5ff162b0b168eca3a42bbe36527a1625 https://api.semanticscholar.org/fe20c9537ea0be2f2a79388a53e1f2fb4b7fe771 https://api.semanticscholar.org/ff0746e3aa20d1372ec63a956c0135e4e7542013 https://api.semanticscholar.org/725f3775c2e5605c1cfa3fcfe6a1cd7e1f7c7220 https://api.semanticscholar.org/dc8231f9a1f3a7c8df8d4ce0c4ba5e4b72aeaf47 https://api.semanticscholar.org/57c2da02fba2a97ada7758fc76fd4577ce8f5f6e https://www.semanticscholar.org/paper/8704a532929e309423060ebd7eff758b3a423837 https://www.semanticscholar.org/paper/0f84a81f431b18a78bd97f59ed4b9d8eda390970 https://api.semanticscholar.org/5341e05f2ff0e210887772404202899e1352daee https://api.semanticscholar.org/834958f94fa730185c0c7be2e177fde99d9d3dcc https://api.semanticscholar.org/e432f577ea2beeee5742381458561d6e45fd7e93 https://api.semanticscholar.org/c6b796c9807125cf551152341d30e356e067ca45 https://api.semanticscholar.org/96f0622eb73b8ff1f008ce46b6f4e14e08242d8d https://api.semanticscholar.org/4fb6410790676402dd219776f9f978e16729add6 https://api.semanticscholar.org/10686d4974af6b6870a8aa446e1633b4f2e8bdd7 https://api.semanticscholar.org/37b903a53a52a3be9f667462959c45257d4b6cda https://api.semanticscholar.org/d81530321c12cfa9f05d755866cd5755d156025d https://api.semanticscholar.org/da47f125a3960bfbad60a733e7b44265fc273af5 https://api.semanticscholar.org/99cbcb661b1d3218417ad7cedb4ad540b5011f91 https://api.semanticscholar.org/468efedfb0f77632c90d3cf88777df95face3bb3