• Preface 

  Li, Haizhou; Ge, Shuzhi Sam; Wu, Yan; Wykowska, Agnieszka; He, Hongsheng (Springer, 2021-11-02)

  The 13th International Conference on Social Robotics (ICSR 2021) was held as a hybrid conference (onsite and online) in Singapore, during November 10–13, 2021, with the theme of “Robotics in our everyday lives”, emphasizing ...

• Distributed network time synchronization: Social learning versus consensus 

  Hulede, Ian Ellis L; Kwon, Hyuck M. (IEEE, 2021-10-15)

  The objective of this paper is to investigate a social learning-based distributed network time synchronization (SLDNTS) and compare it to a classic approach: consensus-based distributed network time synchronization (CDNTS). ...

• Information-theoretic secret sharing from correlated Gaussian random variables and public communication 

  Rana, Vidhi; Chou, Rémi; Kwon, Hyuck M. (IEEE, 2021)

  Abstract—In this paper, we study an information-theoretic secret sharing problem, where a dealer distributes shares of a secret among a set of participants under the following constraints: (i) authorized sets of users ...

• Maximum torque per ampere and maximum power per ampere sliding mode control for interior permanent magnet synchronous motors 

  Alnami, Hashim; Pang, Chengzong; Papineni, Avinash; Wang, Xin (Taylor & Francis, 2021-10-14)

  This paper presents novel maximum torque per ampere (MTPA) and maximum power per ampere (MPPA) sliding mode control (SMC) approaches for interior permanent-magnet synchronous motors (IPMs). We first derive the first-order ...

• Wind power prediction in different months of the year using machine learning techniques 

  Pun, Kesh; Basnet, Saurav M.S.; Jewell, Ward T. (IEEE, 2021-04-19)

  Integration of wind power into the grid has been rapidly increasing at both the transmission as well as distribution levels. Wind power generation is variable, nonlinear, and intermittent in nature. The monthly average and ...

• Node voltage estimation of distribution system using artificial neural network considering weather data 

  Pun, Kesh B.; Basnet, Saurav Man Singh; Jewell, Ward T. (IEEE, 2021-04-19)

  Load flow analysis using traditional methods for power flow is becoming complex (reverse power flow and voltage volatility) due to the configuration complexity brought about by renewable energy resource (RER) integration. ...

• Blind detection design for AF two-way relaying over frequency selective channels 

  Ding, Yanwu; Li, Lun (Springer, 2021-09-18)

  This paper considers an amplify-and-forward two-way relay system with frequency selective fading channels. The knowledge of channel state information is assumed not available for all nodes. An efcient transmission and ...

• Differentially-private federated learning with long-term constraints using online mirror descent 

  Odeyomi, Olusola T.; Záruba, Gergely V. (IEEE, 2021-07-12)

  This paper discusses a fully decentralized online federated learning setting with long-term constraints. The fully decentralized setting removes communication and computational bottlenecks associated with a central server ...

• Private classical communication over quantum multiple-access channels 

  Chou, Remi (IEEE, 2021-07-12)

  We study private classical communication over quantum multiple-access channels. For an arbitrary number of transmitters, we derive a regularized expression of the capacity region. In the case of degradable channels, we ...

• Low-complexity secret sharing schemes using correlated random variables and rate-limited public communication 

  Sultana, Rumia; Chou, Remi (IEEE, 2021-07-12)

  We consider secret sharing where a dealer wants to share a secret with several participants such that predefined subsets of participants can reconstruct the secret and all other subsets of participants cannot learn any ...

• Fruit-fly inspired neighborhood encoding for classification 

  Sinha, Kaushik; Ram, Parikshit (Association for Computing Machinery, 2021-08-14)

  Inspired by the fruit-fly olfactory circuit, the Fly Bloom Filter [4] is able to efficiently summarize the data with a single pass and has been used for novelty detection. We propose a new classifier that effectively ...

• Boolean factor graph model for biological systems: The yeast cell-cycle network 

  Kotiang, Stephen; Eslami, Ali (BMC, 2021-08-14)

  Background: The desire to understand genomic functions and the behavior of complex gene regulatory networks has recently been a major research focus in systems biology. As a result, a plethora of computational and modeling ...

• Modelling of robotic manta ray propelled by servo-actuated pectoral fins 

  Chitti, Sandeep Reddy; Chen, Zheng (ACTA Press, 2021)

  In this research, a two-dimensional (2D) manoeuvrable bio-mimic robotic manta ray propelled by two servo-actuated pectoral fins is developed. To fulfil the driving requirements for propelling the robotic manta ray, a single ...

• Solar power prediction in different forecasting horizons using machine learning and time series techniques 

  Pun, Kesh B.; Basnet, Saurav Man Singh; Jewell, Ward T. (IEEE, 2021-07-01)

  Solar power generation is highly intermittent, nonlinear, and variable in nature. The increase in penetration level of solar energy resources poses technical challenges. An accurate forecasting model is crucial to minimizing ...

• Towards on-device face recognition in body-worn cameras 

  Almadan, Ali; Rattani, Ajita (IEEE, 2021-06-29)

  Face recognition technology related to recognizing identities is widely adopted in intelligence gathering, law enforcement, surveillance, and consumer applications. Recently, this technology has been ported to smartphones ...

• Secret sharing from correlated Gaussian random variables and public communication 

  Rana, Vidhi; Chou, Rémi; Kwon, Hyuck M. (IEEE, 2021-04-11)

  We study a secret sharing problem, where a dealer distributes shares of a secret among a set of participants under the constraints that (i) authorized sets of users can recover the secret by pooling their shares, (ii) ...

• Pairwise oblivious transfer 

  Chou, Rémi (IEEE, 2021-04-11)

  We consider oblivious transfer between one client and two non-colluding servers that store independent contents. The client requests one file from each server such that (i) the servers do not learn the file selection of ...

• Optimization of electric vehicle charging schedule using distributed network computing 

  Shek, Chak Lam; Manoharan, Arun Kaarthick; Aravinthan, Visvakumar (IEEE, 2021-04-11)

  The significant growth in the number of electric vehicles indicates an increased demand on the power distribution system, specifically on the low-voltage residential network. Without a well-organized schedule for charging ...

• Teaching protective relaying using a portable relay training laboratory 

  Gandhi, Aishwarya; Morinec, Allen G.; Summerford, Zachary; Carlone, Mallory; Kulkarni, Chinmay; Prabhakar, Manoj C.; Verma, Tarun (IEEE, 2021-04-11)

  This paper presents an original portable protective relay training laboratory aimed at teaching power systems students protective relaying to make them “Ready-to-Go Engineers” for working in the power systems industry. The ...

• Demand side management for residential consumers considering distribution system requirements 

  Gomes, Thanappuhettige Nipuna Mihiranga; Nandasiri, Nimanthi Upeka; Don, Anton H.; Aravinthan, Visvakumar (IEEE, 2021-04-11)

  One of the focus areas of the smart-grid initiative is the residential level demand response. Recent surveys have analyzed price-responsive demand response optimization, mathematical modeling of demand response, responsive ...

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