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Energy-Secrecy Trade-offs for Wireless Communication [chapter]

Ruolin Zhang
2017 Advances in Security in Computing and Communications  
In particular we analyze the advantage of partial secrecy for the Gaussian and Rayleigh fading channel models and the MIMO channel.  ...  The impact of secrecy requirements and the inherent secrecy-energy-connectivity trade-offs are also analyzed for networks of wireless nodes.  ...  Also, for the network level, the partial secrecy could be studied in different distribution of nodes. For example, the case that users are uniformly distributed in area could be considered.  ... 
doi:10.5772/intechopen.69247 fatcat:3zw3ntzr4ranrin6tdgrxrtyty

Data-Driven Risk Analysis for Probabilistic Three-Phase Grid-Supportive Demand Side Management

Niels Blaauwbroek, Phuong Nguyen, Han Slootweg
2018 Energies  
Along with the emerging development of demand side management applications, it is still a challenge to exploit flexibility realistically to resolve or prevent specific geographical network issues due to  ...  between the demand side management application and the monitoring and network analysis tools of the network operator.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en11102514 fatcat:v6zjdzlheffuddq7wy6a4j4h4q

Additive manufacturing process design with differentiable simulations [article]

Mojtaba Mozaffar, Jian Cao
2021 arXiv   pre-print
We demonstrate the capability of our proposed method through three illustrative case studies in additive manufacturing for: (i) material and process parameter inference using partial observable data, (  ...  We developed a differentiable finite element analysis framework using automatic differentiation which allows accurate optimization of challenging process parameters such as time-series laser power.  ...  In the first case study, we test our framework to optimize static parameters with partially observable data.  ... 
arXiv:2107.10919v1 fatcat:abnei5r6hfg4tdabhobrtihviy

Optimal distributed generators location for power losses improvement using sensitivity based method

Q. A. Salih, D. M. Soomro, I S Saeh
2015 2015 IEEE 3rd International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)  
The location of DGs sources will have an impact on system losses of the network.  ...  The simulation results on IEEE 30 bus test system indicate that bus 13 is the optimal location of DG based on its negative of partial derivative value.  ...  Application of the classical optimization technique aided the formulation of an optimal strategy for minimization of power losses on transmission lines.  ... 
doi:10.1109/icsima.2015.7559022 fatcat:tw4wruroafd7vjqfzxa7znwft4

Protecting Wireless Mesh Networks Against Adverse Weather Conditions

Emma Fitzgerald, Michal Pioro, Artur Tomaszewski
2018 2018 10th International Workshop on Resilient Networks Design and Modeling (RNDM)  
We consider both a network planning application and online optimisation in response to failure states as they occur.  ...  We conduct a numerical study on a realistic network topology, showing the feasibility of our models for practical implementation.  ...  networks with multicast traffic".  ... 
doi:10.1109/rndm.2018.8489837 dblp:conf/rndm/FitzgeraldPT18 fatcat:26ee65xddfa3bjzd3sw4bumvge

Energy Efficient Sensor Selection in Visual Sensor Networks Based on Multi-Objective Optimization

Ehsan Saradar Torshizi, Erfan Shokrollahi Ghahremanlu
2013 International Journal on Computational Science & Applications  
Besides, impact of steady state selection and generational selection method is studied on the network lifetime. Simulation results show the superiority of multi-objective optimization.  ...  In contrast with the pervious works which considered only single metric for sensor selection method, in this study we assumed the sensor selection as multi-criteria problem.  ...  The most relevant study is that of [12] where camera sensor nodes are used for an airspace surveillance applications.  ... 
doi:10.5121/ijcsa.2013.3505 fatcat:53locmajpvafdbd4fgsxkx4g5e

List of Authors

2021 2021 56th International Universities Power Engineering Conference (UPEC)  
Networks Jack Docherty Transition to EVs: A Case Study in Scotland Jacqueline Wilkie Transition to EVs: A Case Study in Scotland Jayakrishnan Pillai Power Quality Impact of Distributed Energy  ...  in Low Voltage Distribution Networks using Time Series Three-Phase Optimal Power Flow Mokhtar Shouran Fuzzy PID with filtered derivative mode based load frequency control of two-area power system Moraish  ... 
doi:10.1109/upec50034.2021.9548188 fatcat:32pxaqvhajdwdh4jxbyui6ki6i

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey

Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin
2015 IEEE Communications Surveys and Tutorials  
Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest.  ...  This survey reviews numerous applications of the Markov decision process (MDP) framework, a powerful decision-making tool to develop adaptive algorithms and protocols for WSNs.  ...  The minimum number of active nodes is selected by cluster heads to optimize energy consumption of the network. The node selection is optimized based on an MDP.  ... 
doi:10.1109/comst.2015.2420686 fatcat:422xkiciufedpljgcmfrwownau

Machine Learning for Communications

Vaneet Aggarwal
2021 Entropy  
Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow's networks will be  ...  faced with increasing challenges resulting from the explosive growth of data traffic demand with significantly varying performance requirements [...]  ...  Such algorithms have been shown in the episodic MDPs in tabular and linear cases [46] . There are partial results for infinite-horizon tabular case, while the proposed algorithm is not scalable.  ... 
doi:10.3390/e23070831 fatcat:ix5lnpd73bcirhdm4gp65imjr4

Attendee List

2020 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)  
Virtualization Technologies with Complex Event Processing Turkey Doruk Eren Aktaş 111 Web Application Testing With Model Based Testing Method: Case Study Turkey Pelin Akpinar 117 A Self-Organizing  ...  State Estimation in Smart Power Grids Jordan Abdullah Al-Odienat 156 Improved Control of Three Phase Induction Motor Based on Optimization DTC Technique Iraq Ghaith Majd Fadhil 157 Estimation  ... 
doi:10.1109/icecce49384.2020.9179198 fatcat:ryry4suqzrfh3ch2v3veh4z6ei

Graph Ordering: Towards the Optimal by Learning [article]

Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
2020 arXiv   pre-print
Two case studies on graph compression and edge partitioning demonstrate the potential power of DON-RL in real applications.  ...  Distinguished from greedy algorithms based on predefined heuristics, we propose a neural network model: Deep Order Network (DON) to capture the hidden locality structure from partial vertex order sets.  ...  Case Studies In this section, we perform two case studies to demonstrate the power of DON-RL in solving real-world problems.  ... 
arXiv:2001.06631v1 fatcat:uknwmgcnrbc2vhneifcw4ctueq

Interconnect synthesis of heterogeneous accelerators in a shared memory architecture

Yu-Ting Chen, Jason Cong
2015 2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)  
We first provide an optimal layer of partial crossbar that connects the heterogeneous accelerators and shared memory banks with a minimum number of switches.  ...  Furthermore, the performance of an ARA can be improved by 36% -52% with a well-designed interleaved network in a real ARA prototype for medical imaging applications.  ...  The second question is how to design an interleaved network between memory banks and DMACs based on the optimal partial crossbar topology.  ... 
doi:10.1109/islped.2015.7273540 dblp:conf/islped/ChenC15 fatcat:cnjlygfbtzeihg34ldmeyskmqm

Editorial: Advanced Anomaly Detection Technologies and Applications in Energy Systems

Tinghui Ouyang, Xun Shen, Yusen He, Zhenhao Tang, Yahui Zhang
2022 Frontiers in Energy Research  
In the paper Grey Wolf Optimization-Based Deep Echo State Network for Time Series Prediction, Chen and Zhang proposed a grey wolf optimization (GWO) algorithm introduced in this study to achieve the lowest  ...  In the paper Operation State Evaluation Method of Smart Distribution Network Based on Free Probability Theory, a method of operation state evaluation of smart distribution networks based on free probability  ...  Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.  ... 
doi:10.3389/fenrg.2022.965151 fatcat:sj3gr7nmibaxxlqtgev7pyo5fi

Guest Editorial: Artificial Intelligence and data analytics for smart grids with high penetrations of renewables

Tao Jiang
2021 IET Energy Systems Integration  
and resilience of the power grid with high penetrations of renewables.  ...  The 14 papers from China, USA, UK, ..., cover various applications of data-driven and AIbased approaches in smart grids including renewable correlation analysis, load forecasting, power system control,  ...  ACKNOWLEDGEMENTS We would like to thank all the authors and the reviewers for this Special Issue of IET Energy Systems Integration, for their dedication and hard work.  ... 
doi:10.1049/esi2.12040 fatcat:p5zzkkw2tvfgben4t4rm7kfyxy

Resilience Neural-Network-Based Methodology Applied on Optimized Transmission Systems Restoration

Josip Tosic, Srdjan Skok, Ljupko Teklic, Mislav Balkovic
2022 Energies  
This paper presents an advanced methodology for restoration of the electric power transmission system after its partial or complete failure.  ...  This load-optimized restoration is dependent on sectioning of the transmission system based on artificial neural networks.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en15134694 fatcat:7e4j5wdxqffrvhubjggtm3i3o4
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