• Six pass MapReduce implementation of Strassen's algorithm for matrix multiplication 

  Ramanan, Prakash (Association for Computing Machinery, Inc, 2018-06-15)

  Consider the multiplication of two n x n matrices. A straight-forward sequential algorithm for computing the product takes Θ(n3) time. Strassen [21] presented an algorithm that takes Θ(nlg 7) time; lg denotes logarithm to ...

• Performance evaluation of a differentially-private neural network for cloud computing 

  Hoefer, Nathaniel D.; Salinas Monroy, Sergio A. (IEEE, 2018-12)

  Due to the large computational cost of data classification using deep learning, resource-limited devices, e.g., smart phones, PCs, etc., offload their classification tasks to a cloud server, which offers extensive hardware ...

• Modeling of robotic fish propelled by a servo/IPMC hybrid tail 

  Chen, Zheng; Hou, Piqi; Ye, Zhihang (IEEE, 2018-10)

  This paper presents modeling of robotic fish propelled by a hybrid tail with Servo and IPMC actuated two joints. The first joint is driven by a servo motor, which generates flapping motion for main propulsion. The second ...

• 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 ...

• 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 ...

• Efficient privacy-preserving large-scale CP tensor decompositions 

  Luo, Changqing; Salinas Monroy, Sergio A.; Li, Pan (IEEE, 2018-12)

  Tensor decompositions are very powerful tools for analyzing multi-dimensional multi-modal data. Particularly, CP tensor decomposition is one of the most fundamental tensor decomposition models. However, it is usually ...

• Learning robotic grasping strategy based on natural-language object descriptions 

  Rao, Bharath; Krishnan, Krishna; He, Hongsheng (IEEE, 2018-10)

  Given the description of an object's physical attributes, humans can determine a proper strategy and grasp an object. This paper proposes an approach to determine grasping strategy for an anthropomorphic robotic hand simply ...

• Optimal control design of large scale systems with uncertainty 

  Almutairi, Shahah; Venkatesan, Thenmozhi; Watkins, John M.; Sawan, M. Edwin (IEEE, 2018)

  In this paper, model reduction techniques are used to design optimal control strategies with low sensitivity to model uncertainty. Two sources of uncertainty are investigated; parameter variation and time delay. To obtain ...

• Computational techniques to recover missing gene expression data 

  Fraidouni, Negin; Zaruba, Gergely V. (Elsevier, 2018)

  Almost every cells in human's body contain the same number of genes so what makes them different is which genes are expressed at any time. Measuring gene expression can be done by measuring the amount of mRNA molecules. ...

• A quality-aware multi-level data aggregation approach to manage smart grid AMI traffic 

  Das, Uddipan; Namboodiri, Vinod (IEEE, 2019-02-01)

  The inclusion of various intelligent electronic devices such as smart meters for AMI is expected to result in intermittent or frequent communications network congestion if additional network infrastructure investments are ...

• Optimal resource allocation for energy-harvesting communication networks under statistical QoS constraints 

  Zewde, Tewodros A.; Gursoy, M. Cenk (IEEE, 2019-02)

  In this paper, we characterize the optimal strategies focusing on the throughput and the system energy efficiency of wireless-powered communication networks (WPCNs) in the presence of delay-limited sources. Each energy-harvesting ...

• Cache enhanced anonymity systems against probabilistic attacks 

  Lu, Huabo; Bagai, Rajiv (Springer, Cham, 2018-05-29)

  The technique of data caching is being increasingly recognized for its ability to increase the amount of anonymity provided by an anonymous communication network, and is expected to be widely adopted in the next generation ...

• Optimization methodology for minimizing the arc flash incident energy 

  Paul, Sushanta; Jewell, Ward T. (IEEE, 2018-09)

  In this paper an optimization methodology for minimizing the arc flash incident energy has been presented. Arc flash incident energy for a given system mainly depends on fault current and protective device trip time. ...

• Spatial calibration for thermal-RGB cameras and inertial sensor system 

  Li, Yan; Tan, Jindong; Zhang, Yinlong; Liang, Wei; He, Hongsheng (IEEE, 2018)

  The light-weight thermal-RGB-inertial sensing units are now gaining increasing research attention, due to their heterogeneous and complementary properties. A robust and accurate registration between a thermal-RGB camera ...

• Self-hiding behavior in Android apps: detection and characterization 

  Shan, Zhiyong; Neamtiu, Iulian; Samuel, Raina (Association for Computing Machinery, 2018)

  Applications (apps) that conceal their activities are fundamentally deceptive; app marketplaces and end-users should treat such apps as suspicious. However, due to its nature and intent, activity concealing is not disclosed ...

• Stacked conical-cylindrical hybrid Dielectric Resonator Antenna for improved ultrawide bandwidth 

  Al-Azza, Ali A.; Malalla, Nuhad A.; Harackiewicz, Frances J.; Han, Kiyun (EMW Publishing, 2018)

  Conical and cylindrical dielectric resonator elements are vertically stacked and excited by a simple coaxial monopole. Compared to all earlier configurations, the proposed geometry significantly improves the impedance ...

• Semantics comprehension of entities in dictionary corpora for robot scene understanding 

  Yan, Fujian; Zhang, Yinlong; He, Hongsheng (Springer Nature, 2018)

  This paper proposes a method to help robots understand object semantics. The method presented in this paper can enhance robot’s performance and efficiency while working with ambiguous instructions to interact with unfamiliar ...

• 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 ...

• MagicHand: In-hand perception of object characteristics for dexterous manipulation 

  Li, Hui; Yihun, Yimesker S.; He, Hongsheng (Springer Nature, 2018)

  An important challenge in dexterous grasping and manipulation is to perceive the characteristics of an object such as fragility, rigidity, texture, mass and density etc. In this paper, a novel way is proposed to find these ...

• Adaptive monopulse for direction of arrival estimation under mainlobe interference 

  Wang, Dan (SPIE, 2018-05-03)

  As the dramatic advancement in array signal processing, the phase array radar becomes widely used in military. However, the electromagnetic environment is very complicated with different kinds of electromagnetic interference. ...

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