• A new approach for detecting copy-move forgery in digital images 

  Shabanian, Hanieh; Mashhadi, Farshad (IEEE, 2017-11)

  The copy-move forgery is a common way to manipulate the digital images, which copied regions come from the same image. The detection process of altered regions is known as forgery detection. In this paper, we propose a new ...

• Improved maximum inner product search with better theoretical guarantee using randomized partition trees 

  Keivani, Omid; Sinha, Kaushik; Ram, Parikshit (Springer US, 2018-06)

  Recent interest in the problem of maximum inner product search (MIPS) has sparked the development of new solutions. The solutions (usually) reduce MIPS to the well-studied problem of nearest-neighbour search (NNS). To ...

• Traffic volume reduction in smart grid networks by a cooperative intelligent interpolation technique 

  Boustani, Arash; Alamatsaz, Navid Reza; Alamatsaz, Nima; Boustani, Ashkan (IEEE, 2018)

  Leveraging a modern communication network, the power industry is moving towards the next generation power grid, the smart grid. This new communication-based power grid is expected to change the way electricity is generated, ...

• Achieving overlap of multiple, arbitrarily shaped footprints using rendezvous cones 

  Tholen, Kyle; Sunkara, Vishwamithra Reddy; Chakravarthy, Animesh; Ghose, Debasish (American Institute of Aeronautics and Astronautics, Inc., 2018-06)

  This paper addresses the problem of achieving the overlap of footprints of unmanned aerial vehicles used for search and surveillance or for establishing communication between remote areas. The need of the footprints to ...

• Optimal location for single and multiple DG based on vulnerability index in smart distribution system 

  Sarkar, Koushik; Pang, ChengZong; Yang, Lin (IEEE, 2017)

  Power system is getting more complicated with the interconnection between distributed generation (DG) and distribution network. Demanding a wide network of vulnerability and operational effects requires advanced technical ...

• Sociorobotics 

  Agah, Arvin; Cabibihan, John-John; Howard, Ayanna; Salichs, Miguel A.; He, Hongsheng (Springer Netherlands, 2018-04)

  This special issue provides researchers with the opportunity to describe their work and their latest progress in the field of social robotics, aimed at fostering discussions and potential collaborations on the development ...

• A novel technique to analyze mammography images for breast cancer treatment 

  Asaduzzaman, Abu; Mitra, Parthib; Chidella, Kishore K.; Saeed, Khawaja A.; Cluff, Kim; Mridha, Muhammad F. (IEEE, 2017-09)

  Cancer is a group of diseases that may start in any body-organ such as breast; it involves abnormal cell growth and spreads to the entire body and the cancer patient may die. Mammography is a familiar method to detect ...

• Improved maximum inner product search with better theoretical guarantees 

  Keivani, Omid; Sinha, Kaushik; Ram, Parikshit (IEEE, 2017-05)

  Recent interest in the problem of maximum inner product search (MIPS) has sparked the development of new solutions. The solutions (usually) reduce MIPS to the well-studied problem of nearest-neighbour search (NNS). To ...

• A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data 

  Karagod, Vinay Vittal; Sinha, Kaushik (IEEE, 2017-05)

  DNA methylation (DNAm) is an epigenetic mechanism used by cells to control gene expression, and identification of DNAm biomarkers can assist in early diagnosis of cancer. Identification of these biomarkers can be done using ...

• A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome 

  Eicher, Tara; Sinha, Kaushik (IEEE, 2017-05)

  Down Syndrome is a common disorder which causes intellectual disability among other symptoms. To date, no treatment exists for the learning difficulties associated with Down Syndrome. However, the pharmaceutical drug ...

• Kinematic chain based multi-joint capturing using monocular visual-inertial measurements 

  Zhang, Yinlong; Liang, Wei; He, Hongsheng; Tan, Jindong (IEEE, 2017-09)

  Combining light-weight visual and inertial modalities for motion capturing has been popular in robotics researches. There exist scale ambiguity, inaccurate pose estimation with little or no baseline, incremental drifts ...

• The novel adaptive weight algorithms for phase array radar 

  Yang, Zhitao; Zhang, Leiguang (IEEE, 2017)

  The adaptive weight at the subarray level is very important for the phase array radar. The phase array radar is widely used in the modern military. The adaptive weight algorithms are proposed to perform the interference ...

• Satellite jamming: a game theoretic analysis 

  Wang, Qiwei; Nguyen, Thinh; Pham, Khanh D.; Kwon, Hyuck M. (IEEE, 2017)

  In this paper, the problem of minimizing the damaging effect on the frequency hopping (FH) spread-spectrum satellite is formulated using the two-player asymmetric zero-sum game framework. The payoff is modeled as the channel ...

• Communication on the move with satellite digital beamforming 

  Goswami, Madhuprana; Kwon, Hyuck M.; Pham, Khanh D.; Lyke, James; Thinh, Nguyen (IEEE, 2017)

  The main objective of this paper is to develop an efficient satellite digital beam-forming (BF) method that can provide user specific desirable signal-to-interference-plus-noise ratio (SINR) or data rate for each user in ...

• Secure cloud computing for pairwise sequence alignment 

  Salinas Monroy, Sergio A.; Li, Pan (Association for Computing Machinery, 2017)

  Today's massive amount of biological sequence data has the potential to rapidly advance our understanding of life's processes. However, since analyzing biological sequences is a very expensive computing task, users face a ...

• Cooperative collision avoidance and formation control for objects with heterogeneous shapes 

  Sunkara, Vishwamithra Reddy; Chakravarthy, Animesh (Elsevier, 2017-07)

  This paper addresses the problem of formation control with collision avoidance, in scenarios comprising robots of heterogeneous shapes and with double integrator dynamics, moving on a plane. The exact shapes of the robots ...

• Capacity analysis of aerial small cells 

  Pokkunuru, Akarsh; Zhang, Qin; Wang, Pu (IEEE, 2017)

  Providing high-speed communication for mobile users in remote geographic areas or after a disaster occurs is not only critical but also challenging. To counter such challenge, unmanned aerial vehicles (UAVs) have been ...

• Stochastic network utility maximization in the presence of heavy-tails 

  Xia, Shuang; Wang, Pu (IEEE, 2017)

  Recent years have witnessed an active research on the stochastic network utility maximization (NUM) problem, where the optimal network resource allocation policy, such as congestion control, routing, and scheduling, is ...

• Accessing the hidden available spectrum in cognitive radio networks under GSM-based primary networks 

  Chowdhury, Antara Hom; Song, Yi; Pang, ChengZong (IEEE, 2017)

  The Global System for Mobile Communications (GSM) system is generally considered to be one of the most successful cellular standards. However, in the cognitive radio (CR) research community, the GSM system is rarely ...

• Industrial facilities nonprocess energy 

  Bawaneh, Khaled; Overcash, Michael; Twomey, Janet M. (Taylor & Francis, 2017)

  In this study, published information on nonprocess energy use, which includes lighting, heating, cooling, ventilation, humidity control, and particulate control, for industrial buildings has been analyzed and compiled and ...

View more