• 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 ...

• Modeling the evolution of open quantum systems 

  Pandey, Aditi (Wichita State University, 2020-07)

  The motivation for the research is to find a method to describe the evolution of an open single qubit system since the Schrödinger equation cannot be used. Therefore, to do this, the single qubit is first coupled to another ...

• A method for t-close anonymization in the presence of multiple numerical sensitive attributes 

  Weber, Eric (Wichita State University, 2020-05)

  Privacy Preserving Data Publishing is an area of research focused on developing methods of anonymizing sensitive relational data such that it can be published without compromising the privacy of the individuals the data ...

• Optimization of electric vehicle charging schedule using distributed network computing 

  Shek, Chak Lam (Wichita State University, 2020-05)

  In recent years, the number of electric vehicles has increased dramatically, and the forecast shows that this speed of growth will accelerate even more over the next ten years. The significant growth in the number of ...

• Automated testing to detect status data loss in android applications 

  Konduru, Anusha (Wichita State University, 2020-05)

  Mobile applications are increasing in a significant amount, each to address the requirements of many users. However, the quick developments and enhancements are resulting in many underlying defects. When user installs an ...

• Algorithms and frameworks towards sensing data in smart cities 

  Das, Uddipan (Wichita State University, 2020-05)

  The concept of smart cities (SCs) has been evolved in recent years in gaining signi cant importance for intelligent development and sustainable socio-economic growth of cities. The wide use of information and communication ...

• A brain-inspired framework for evolutionary artificial general intelligence 

  Nadji-Tehrani, Mohammad (Wichita State University, 2020-05)

  From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy when compared to the ...

• 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 ...

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