• Thermoset composite recycling - Driving forces, development, and evolution of new opportunities 

  Overcash, Michael; Twomey, Janet M.; Asmatulu, Eylem; Vozzola, Eric; Griffing, Evan M. (SAGE, 2018-04-01)

  Thermoset composites represent a substantial challenge for recycling, even as composite products increase in market interest. The concept of putting all future thermoset composite products into landfills over the next ...

• A study on smart SansEC skin sensing for real-time monitoring of flexible structures 

  Kostogorova-Beller, Yulia; Whitford, Jonathan; Dudley, Kenneth; Menon, Alok N.; Chakravarthy, Animesh; Steck, James E. (IEEE, 2018-02-02)

  The bending deflection of a flexible physical system was investigated during its forced dynamic deformation utilizing electromagnetic resonant SansEC sensing. The dynamic frequency response function (DFRF) was measured ...

• 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 ...

• PDE-based analysis of automotive cyber-attacks on highways 

  Ghanavati, Meysam; Chakravarthy, Animesh; Menon, Prathyush (IEEE, 2017-05)

  This paper considers scenarios wherein a group of malicious vehicles on a highway perform a cooperative attack with the motive of creating undesirable wave effects among other vehicles on the highway. The two species of ...

• A decentralized adaptive control architecture for large-scale active-passive modular systems 

  Gruenwald, Benjamin C.; Arabi, Ehsan; Yucelen, Tansel; Chakravarthy, Animesh; McNeely, Drew (IEEE, 2017-05)

  Decentralized control of large-scale active-passive modular systems is considered. These systems consist of physically interconnected and generally heterogeneous modules, where local control signals can be only applied to ...

• Sensitivity and uncertainty analyses of ex-vessel molten core cooling in a flooded cavity during a severe accident 

  Hwang, Byoungcheol; Moriyama, Kiyofumi; Hwang, Gisuk; Kaviany, Massoud; Lee, Mooneon; Kim, Eunho; Park, Hyun Sun (Elsevier Ltd., 2018-03)

  Sensitivity and uncertainty analyses of molten core cooling under the ex-vessel phase of a severe accident of a light water reactor was performed with the COOLAP-I (COOLability Analysis Program-I) model, a parametric model ...

• Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network 

  Topuz, Kazim; Uner, Hasmet; Oztekin, Asil; Yildirim, Mehmet Bayram (Springer, 2018-04)

  No-shows are becoming a major problem in primary care facilities, creating additional costs for the facility while adversely affecting the quality of patient care. Accurately predicting no-shows plays an important role in ...

• 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 ...

• Bidirectional leaf trajectory optimization approaches for dynamic delivery of intensity-modulated radiotherapy plans 

  Mirzapourrezaei, Seyedali; Salari, Ehsan (WILEY, 2017-06-14)

  Purpose: Traditionally, unidirectional leaf-sweeping schemes have beenused for dynamic deliver y of intensity-modulated radiotherapy (IMRT) plans.This research investigates the potential benefits of bidirectional ...

• Spatiotemporally integrated radiotherapy plan optimization 

  Adibi, Ali; Salari, Ehsan (Wiley, 2017-06-14)

  Purpose: This research aims at quantifying the extent of potential therapeu-tic gain that can be achieved from altering the radiation dose distribution overtreatment sessions in fractionated radiotherapy. Methods: 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 ...

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