• Allan deviation of social learning distributed network time synchronization 

  Hulede, Ian Ellis L.; Kwon, Hyuck M. (IEEE, 2022-12-02)

  The objective of this paper is to demonstrate that the concept of a recently published social learning distributed network time synchronization (SLDNTS) algorithm under a Global Positioning System (GPS) denial environment ...

• Secrecy rate of relay and intelligent reflecting surface antenna-assisted MIMO 

  Minson, Zachary T.; Kwon, Hyuck M. (IEEE, 2022-12-02)

  This paper proposes the use of an amplify-and-forward (AF) relay in addition to intelligent reflecting surface (IRS) antennas to ensure higher secrecy rates compared to IRS-only multiple-input multiple-output (MIMO) ...

• Short blocklength wiretap channel codes via deep learning: Design and performance evaluation 

  Rana, Vidhi; Chou, Rémi A. (IEEE, 2023-01-18)

  We design short blocklength codes for the Gaussian wiretap channel under information-theoretic security guarantees. Our approach consists in decoupling the reliability and secrecy constraints in our code design. Specifically, ...

• Editorial: Advanced data-driven methods and applications for smart power and energy systems 

  Liu, Jun; Jiao, Zaibin; Chen, Chen; Duan, Chao; Pang, Chengzong (Frontiers Media S.A., 2023-01-13)

  [No abstract available]

• Unified approach for graphically designing PID controllers with Smith predictors for time-delay systems 

  Alrishan, Abdulkarim; Watkins, John Michael; Emami, Tooran (IEEE, 2022-08-25)

  This paper combines a Smith Predictor with an approach for graphically determining all Proportional-Integral-Derivative (PID) controllers in either the Continuous-Time (CT) or Discrete-Time (DT) domains that meet Gain ...

• Unified approach for weighted sensitivity design of PID Controllers with Smith Predictors 

  Alrishan, Abdulkarim; Watkins, John Michael; Emami, Tooran (IEEE, 2022-11-25)

  This paper combines a Smith Predictor with an approach for graphically determining all ProportionalIntegral-Derivative (PID) controllers in either continuous-time (CT) or discrete-time (DT) domains that meet performanc ...

• Multiple access channel resolvability codes from source resolvability codes 

  Sultana, Rumia; Chou, Rémi A. (IEEE, 2022-06-01)

  We show that the problem of code construction for multiple access channel (MAC) resolvability can be reduced to the simpler problem of code construction for source resolvability. Specifically, we propose a MAC resolvability ...

• Computer applications: A novel architecture to improve the performance of audio visual applications 

  Asaduzzaman, Abu; Chidella, Kishore K.; Sibai, Fadi N. (Association for Industry, Engineering and Management Systems (AIEMS), 2022-12)

  To attain the best audio-visual experience, the underlying computing platform should provide high performance in real time. The forthcoming computer systems consist of multicore processors to achieve a high performance-to-power ...

• Improved social welfare through market event compensation for distributed energy resources 

  Manoharan, Arun K.; Nandasiri, Nandasiri; Peterson, Mary; Shanthanam, Sangar; Genhatharan, Nisaharan; Aravinthan, Visvakumar; Tamimi, Al; Yokley, Charles R. (IEEE, 2022-07-21)

  The increase in the penetration of distributed energy resources (DER) brings both challenges and opportunities to distribution and transmission systems. The challenges come in the form of infrastructure costs, loss of ...

• OCTOPUS: On-demand Communication Topology Updating Strategy for Mobile Sensor Networks 

  Hatime, Hicham; Namuduri, Kamesh; Watkins, John Michael (CRC Press, 2017-01-30)

  Mobile sensor networks are characterized by frequent topology updates and selfconfigurations. Networks are created spontaneously whenever nodes are within transmission range of each other. The arrivals and departures of ...

• Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction (BMC Bioinformatics, (2020), 21, S3, (63), 10.1186/s12859-020-3342-z) 

  Thapa, Niraj; Chaudhari, Meenal; McManus, Sean; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; KC, Dukka B. (BioMed Central Ltd, 2022-08-22)

  After publication of this supplement article [1], it is requested to correct the below errors in the article: On page 1, the Result of Abstract should be changed to: Results: Using an independent test set of experimentally ...

• Quantifying the cost of privately storing data in distributed storage systems 

  Chou, Rémi (IEEE, 2022-07-21)

  Consider a user who wishes to store a file in multiple servers such that at least t servers are needed to reconstruct the file, and z colluding servers cannot learn any information about the file. Unlike traditional ...

• Adaptive framework for accurate phasor characterization of transient and dynamic power system signals 

  Qian, Cheng; Pang, Chengzong; Wang, Qiin (IEEE, 2022-04-26)

  PMU data is known for high data resolution and accuracy, is gaining increasing significance in power system monitoring and control. This is especially true with the wide application of machine learning and big data ...

• Sparse dictionary learning for transient stability assessment 

  Wang, Qilin; Pang, Chengzong; Qian, Cheng (Frontiers in Energy Research, 2022-07-11)

  Transient stability assessment (TSA) has always been a fundamental and challenging problem for ensuring the security and operation of power systems. With more power electronic interface resources integrated into the grid ...

• Transient stability prediction based on long short-term memory network 

  Wang, Qilin; Pang, Chengzong; Alnami, Hashim (IEEE, 2021-11-16)

  Transient stability assessment (TSA) has always been one of the most challenging problems in power system security and operations due to the rapid growth of electricity demand. The transient stability of power systems ...

• CGN-MPred: Cofunctional gene network-based mutation prediction from exposure conditions 

  Okwori, Michael; Eslami, Ali (IEEE, 2021-12-09)

  The prediction of gene mutation of bacteria when exposed to different conditions is beneficial in the development of drugs and vaccines. However, the existing prediction models are suboptimal in their performance. In this ...

• Effect of tool positioning factors on the strength of dissimilar friction stir welded joints of AA7075-T6 and AA6061-T6 

  Ghiasvand, Amir; Noori, Saja Mohammed; Suksatan, Wanich; Tomków, Jacek; Memon, Shabbir; Derazkola, Hesamoddin A. (MDPI, 2022-03-27)

  Friction Stir Welding (FSW) is a solid-state bonding technique. There are many direct and indirect factors affecting the mechanical and microstructural properties of the FSW joints. Tool offset, tilt angle, and plunge depth ...

• Improving quality of service in computer networks applying the eight classes of service 

  Asaduzzaman, Abu; Kamalakannan, Prasanth; Altaf-Ul-Amin, Md; Kanaya, Shigehiko (IEEE, 2021-08-05)

  Class of Service (CoS) is implemented in communication networks to simplify the management of traffic data and ensure Quality of Service (QoS) requirements. Because of the substantial growth in network data generation, the ...

• Optimal interior mounted permanent magnet synchronous motors MTPA and MPPA control based on sliding mode approaches 

  Alnami, Hashim; Pang, Chengzong; Papineni, Avinash; Wang, Xin (ASME, 2022-01-25)

  This paper presents novel sliding mode control (SMC) approaches for Maximum Torque Per Ampere (MTPA) and Maximum Power Per Ampere (MPPA) of interior permanent magnet synchronous motors (IPMs). We first derive the first-order ...

• Equity-based fair market algorithm to effectively integrate DER in retail market pricing 

  Nandasiri, Nimanthi Upeka; Aravinthan, Visvakumar (IEEE, 2021-11-14)

  This paper presents a market mechanism based on an equity-based market algorithm to incorporate DER in the retail market considering different financing options of solar owners. This paper first investigates the impact ...

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