Browsing EECS Faculty Scholarship by Title

Now showing items 501-520 of 656

    • Relay selection strategies for single-carrier frequency-domain equalization multi-relay cooperative networks 

      Eghbali, Homa; Muhaidat, Sami; Hejazi, Seyed Amin; Ding, Yanwu (IEEE, 2013-05)
      In this paper, we investigate several relay selection strategies for cooperative Single-Carrier Frequency-Domain Equalization (SC-FDE) with the amplify-and-forward protocol. We consider both maximum likelihood (ML)-SC-FDE ...

    • Reliability analysis of cyber-enabled power distribution system using sequential Monte-Carlo 

      Heidari-Kapourchali, Mohammad; Sepehry, Mojtaba; Zhao, Long; Aravinthan, Visvakumar (IEEE, 2015)
      Cyber-enabled power system places higher requirements on the reliability of communication infrastructure. This paper proposes an approach to calculate reliability of distribution networks in the presence of communication ...

    • Reliability modeling considerations for emerging cyber-physical power systems 

      Aravinthan, Visvakumar; Balachandran, Thanatheepan; Ben-Idris, Mohammed; Fei, Wanghao; Heidari-Kapourchali, Mohammad; Hettiarachchige-Don, Anton C. Sameepa; Jiang, John N.; Lei, Hangtian; Liu, Chen-Ching; Mitra, Joydeep; Ni, Ming; Papic, Milorad; Parvania, Masood; Sephary, Mojtaba; Singh, Channan; Srivastava, Anurag; Stefanov, Alexandru; Sun, Hongjian; Tindemans, Simon (IEEE, 2018-06)
      Power system operation considering an increasingly complex cyber infrastructure may be one of the key factors of the next generation power systems. The effective operation of a power system in a massively deployed cyber ...

    • Research challenges for traffic engineering in software defined networks 

      Akyildiz, Ian F.; Lee, Ahyoung; Wang, Pu; Luo, Min; Chou, Wu (IEEE, 2016)
      SDN is an emerging networking paradigm that separates the network control plane from the data forwarding plane with the promise to dramatically improve network resource utilization, simplify network management, reduce ...

    • Residential demand response program: predictive analytics, virtual storage model and its optimization 

      Basnet, Saurav Man Singh; Aburub, Haneen Mohammad Dawoud; Jewell, Ward T. (Elsevier, 2019-06)
      Demand response programs are becoming an integral part of the power system, helping create a closer alignment between the electrical service providers and customers. The research described in this paper uses the residential ...

    • Residential demand response program: virtual storage model and its optimization 

      Basnet, Saurav Man Singh; Jewell, Ward T. (IEEE, 2019-03-21)
      Demand response programs are becoming an integral part of the power system, helping create a closer alignment between the electrical service providers and customers. The research described in this paper uses the residential ...

    • Residential energy efficiency and electric demand response 

      Jewell, Ward T. (IEEE, 2016)
      Demand response programs, reduced air conditioner size, and improved thermal integrity all reduce the peak demand for residential air conditioning. All can also affect the comfort of residential occupants. A simulation of ...

    • Revisiting kd-tree for nearest neighbor search 

      Ram, Parikshit; Sinha, Kaushik (Association for Computing Machinery, 2019)
      kd-tree [16] has long been deemed unsuitable for exact nearest-neighbor search in high dimensional data. The theoretical guarantees and the empirical performance of kd-tree do not show significant improvements over brute-force ...

    • Rewriting XPath queries using materialized XPath views 

      Ramanan, Prakash (Elsevier, 2012-07)
      Let XP(/, //, []) be the fragment of XPath 1.0, consisting of queries that involve only the child and descendant axes, and predicates without disjunction or negation (and no wildcard nodetests); these queries can be ...

    • RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites 

      Al-Barakati, Hussam J.; Thapa, Niraj; Hiroto, Saigo; Roy, Kaushik; Newman, Robert H.; KC, Dukka B. (Elsevier, 2020)
      Malonylation, which has recently emerged as an important lysine modification, regulates diverse biological activities and has been implicated in several pervasive disorders, including cardiovascular disease and cancer. ...

    • RFID security threats to consumers: Hype vs. reality 

      Rao, Shantanu; Thanthry, Nagaraja; Pendse, Ravi (IEEE, 2007-10-08)
      Radio frequency identification (RFID) tags are being adopted rapidly by retail giants such as Wal-Mart In the near future these tags will be used for item level tracking of consumer products such as milk cartons, television ...

    • Risk assessment of autonomous vehicles using Bayesian defense graphs 

      Behfarnia, Ali; Eslami, Ali (IEEE, 2019-04-15)
      Recent developments have made autonomous vehicles (AVs) closer to hitting our roads. However, their security is still a major concern among drivers as well as manufacturers. Although some work has been done to identify ...

    • A roadmap for traffic engineering in SDN-OpenFlow networks 

      Akyildiz, Ian F.; Lee, Ahyoung; Wang, Pu; Luo, Min; Chou, Wu (© 2014 Elsevier B.V., 2014-10-04)
      Software Defined Networking (SDN) is an emerging networking paradigm that separates the network control plane from the data forwarding plane with the promise to dramatically improve network resource utilization, simplify ...

    • Robotic fish propelled by a servo motor and ionic polymer-metal composite hybrid tail 

      Chen, Zheng; Hou, Piqi; Ye, Zhihang (ASME, 2019-03-25)
      In this paper, a new robotic fish propelled by a hybrid tail, which is actuated by two active joints, is developed. The first joint is driven by a servo motor, which generates flapping motions for main propulsion. The ...

    • Robotic scene understanding by using a dictionary 

      Yan, Fujian; Nannapaneni, Saideep; He, Hongsheng (IEEE, 2020-01-20)
      Scene understanding is a fundamental task for intelligent robots, especially in human-robot interaction. It is challenging due to the complexity of the human environment. In this paper, the proposed method integrates ...

    • Robotic understanding of object semantics by referring to a dictionary 

      Yan, Fujian; Tran, Dang M.; He, Hongsheng (Springer Nature B.V., 2020-06-19)
      Scene understanding is a fundamental challenge for intelligent robots, especially for social robots, which are expected to have a human-like perception, comprehension, and knowledge. This paper proposes an approach to ...

    • Robotic understanding of scene contents and spatial constraints 

      Wilson, Dustin; Yan, Fujian; Sinha, Kaushik; He, Hongsheng (Springer Nature, 2018)
      The aim of this paper is to create a model which is able to be used to accurately identify objects as well as spacial relationships in a dynamic environment. This paper proposed methods to train a deep learning model which ...

    • Robotic understanding of spatial relationships using neural-logic learning 

      Yan, Fujian; Wang, Dali; He, Hongsheng (IEEE, 2021-02-23)
      Understanding spatial relations of objects is critical in many robotic applications such as grasping, manipulation, and obstacle avoidance. Humans can simply reason object’s spatial relations from a glimpse of a scene based ...

    • Robust adaptive neural network control for PEM fuel cell 

      Abbaspour, Alireza; Khalilnejad, Arash; Chen, Zheng (Elsevier Ltd. All rights reserved., 2016-11-26)
      This paper presents a robust neural network adaptive control for polymer electrolyte membrane (PEM) fuel cells (FCs). Since deviations between the partial pressure of hydrogen and oxygen in PEMFCs lead to serious membrane ...

    • A robust observer-based model-following control 

      Moursi, Z. M.; Raptis, J.; Sawan, M. Edwin (IEEE, 1988-06-15)
      The model-following problem has been expressed as an LQ-problem, and robustness achieved by including an exponential factor in the cost integrand. In this paper the observer-based case is considered and the inherent ...