• Optimal auction for delay and energy constrained task offloading in mobile edge computing 

  Mashhadi, Farshad; Salinas Monroy, Sergio A.; Bozorgchenani, Arash; Tarchi, Daniele (Elsevier B.V., 2020-12-24)

  Mobile edge computing has emerged as a promising paradigm to complement the computing and energy resources of mobile devices. In this computing paradigm, mobile devices offload their computing tasks to nearby edge servers, ...

• Assessment of economic value of assistive technologies through quality-adjusted work-life years (qawly) 

  Joseph, Siny; Namboodiri, Vinod (Springer, 2020-09-04)

  Assistive technologies (ATs) are commonly used to improve the quality of life of persons with disabilities. While their utility to a person is usually clear, their cost-effectiveness or economic value is often unclear. ...

• Ibeaconmap: Automated indoor space representation for beacon-based wayfinding 

  Cheraghi, Seyed Ali; Namboodiri, Vinod; Sinha, Kaushik (Springer, 2020-09)

  Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact ...

• Geospatial Cyberinfrastructure for regional economic Growth 

  Asaduzzaman, Abu; Gupta, Deepak P. (IEEE, 2020-08-04)

  Cyberinfrastructure (CI) has potential to assist economic activities that involve real-time data analytics. Important challenges include the integration of essential geospatial principles (such as spatial constraints in ...

• Random projection-based auxiliary information can improve tree-based nearest neighbor search 

  Keivani, Omid; Sinha, Kaushik (Elsevier, 2021-02-06)

  Nearest neighbor search using random projection trees has recently been shown to achieve superior performance, in terms of better accuracy while retrieving less number of data points, compared to locality sensitive hashing ...

• SSIoT: Energy-efficient optimal Admission Control for Body Area Networks 

  Nekoui, Mohammad Ali; Chu, Lichung; Eslami, Ali (IEEE, 2020-06-30)

  This paper proposes an optimal Admission Control (AC) scheme for Body Area Networks (BANs). The scheme captures BAN characteristics, such as limited buffer size and power consumption of sensor nodes, and QoS-sensitive ...

• Secure distributed storage: rate-privacy trade-off and XOR-based coding scheme 

  Chou, Remi; Kliewer, Jorg (IEEE, 2020-06)

  We consider the problem of storing data in a distributed manner over T servers. We require the data (i) to be recoverable from the T servers, and (ii) to remain private from any T -1 colluding servers, where privacy is ...

• Explicit construction of multiple access channel resolvability codes from source resolvability codes 

  Sultana, Rumia; Chou, Remi (IEEE, 2020-06)

  We show that the problem of code construction for multiple access channel resolvability can be reduced to the simpler problem of code construction for source resolvability. Specifically, we propose a multiple access channel ...

• 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 ...

• DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins 

  Chaudhari, Meenal; Thapa, Niraj; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; Kc, Dukka B. (Royal Society of Chemistry, 2020-06-03)

  Methylation, which is one of the most prominent post-translational modifications on proteins, regulates many important cellular functions. Though several model-based methylation site predictors have been reported, all ...

• Towards microscale NFC-enabled IoT Sensors: Physical and MAC layer design analysis 

  Okwori, Michael; Behfarnia, Ali; Eslami, Ali (IEEE, 2020-05-07)

  Microscale sensors provide critical solutions in diverse fields, ranging from measurement, automation, and control in industrial, agricultural, and biomedical applications. However, their development is limited by many ...

• A probabilistic graphical model for system-wide analysis of gene regulatory networks 

  Kotiang, Stephen; Eslami, Ali (NLM (Medline), 2020-02-25)

  The inference of gene regulatory networks (GRNs) from DNA microarray measurements forms a core element of systems biology-based phenotyping. In the recent past, numerous computational methodologies have been formalized to ...

• Automated dynamic detection of self-hiding behavior 

  Baird, Luke; Shan, Zhiyong; Namboodiri, Vinod (IEEE, 2019-11)

  Certain Android applications, such as but not limited to malware, conceal their presence from the user, exhibiting a self-hiding behavior. Consequently, these apps put the user's security and privacy at risk by performing ...

• DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction 

  Thapa, Niraj; Chaudhari, Meenal; McManus, Sean; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; Kc, Dukka B. (Springer, 2020-04-23)

  Protein succinylation has recently emerged as an important and common post-translation modification (PTM) that occurs on lysine residues. Succinylation is notable both in its size (e.g., at 100 Da, it is one of the larger ...

• Zero-forcing precoder: a special constructive interference precoder for PSK signals 

  Ding, Yanwu; Pham, Khanh D. (IEEE, 2020-03-30)

  Recently, constructive interference precoders have been considered for downlink communication systems to utilize the multiuser interference constructively. Such precoders are normally obtained by solving constrained ...

• Time-varying diffusion social learning 

  Rana, Vidhi; Kwon, Hyuck M.; Murrell, David A. (IEEE, 2020-03-30)

  This paper studies a time-varying diffusion social learning algorithm, for an agent in a network trying to learn a true hypothesis (or state). We will show that agents in a weakly connected sub-network will be under the ...

• Time-varying truth prediction in social networks using online learning 

  Odeyomi, Olusola T.; Kwon, Hyuck M.; Murrell, David A. (IEEE, 2020-03-30)

  This paper shows how agents in a social network can predict their true state when the true state is arbitrarily time-varying. We model the social network using graph theory, where the agents are all strongly connected. We ...

• 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. ...

• Biometrics Fusion with Applications in Passenger Re-authentication for Automated Border Control Systems 

  Nguyen, Hoang Mark; Rattani, Ajita; Derakhshani, Reza R. (IEEE, 2020-03-12)

  Over 4.1 billion aircraft passengers flew in 2017. This number is expected to be nearly double by 2037. Due to the significant growth in airline services and passenger traffic, automated border control (ABC) systems have ...

• Cross-illumination Evaluation of Hand Crafted and Deep Features for Fusion of Selfie Face and Ocular Biometrics 

  Kondapi, Leena; Rattani, Ajita; Derakhshani, Reza R. (IEEE, 2020-03-12)

  This paper addresses the implementation of a multiunit biometric system. Results are shown for multi-unit classification with VISible light mobile Ocular Biometric (VISOB) dataset using feature descriptors such as Local ...

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