• 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 ...

• Modeling electric vehicle consumer behavior for improved power systems operation and planning 

  Rahman, Md Rakib Ur; Manoharan, Arun-Kaarthick; Gampa, Srikanth (Wichita State University, 2020-05-01)

  The transition to electric vehicles (EVs) from fossil fuel-based vehicles is well underway, with more than 1 million EVs on U.S. roads as of October 2018. In addition, customers are purchasing EVs in record numbers, and ...

• Reliability analysis of a cyber physical system in the presence of information loss 

  Rahman, Md Rakib Ur; Chandrappa, Thejas (Wichita State University, 2020-05-01)

  The smart grid initiatives have three common priorities worldwide: security, reliability, and efficiency. With the increasing need to address climate change and greenhouse gas emissions, smart energy management systems ...

• Neural network based prediction of solar array degradation during all-electric satellite deployment 

  Farabi, Tanzimul (Wichita State University, 2020-05-01)

  In recent years solar electric propulsion (SEP) has become a topic of great interest among researchers in the satellite and space industry due to its advantages over traditional chemical propulsion system. All electric ...

• Twitter sentiment analysis and visualization 

  Guntaka, Venkata Sai Pramod Reddy; Gupta, Aman Kumar; Somisetty, Sravya (Wichita State University, 2020-05-01)

  Twitter is a social networking site where users interact by posting messages called "tweets". The tweets cover a wide range of topics including personal, business, and government tweets from all over the world in multiple ...

• 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 ...

• Applying k-nearest neighbors to increase the utility of k-anonymity 

  Almohaimeed, Abdulrahman; Gampa, Srikanth (IEEE, 2020-03-05)

  Nowadays, there are many organizations publishing and sharing their databases with other parties for different purposes, such as to conduct statistical surveys, business investigations, or health studies. However, this ...

• A novel design framework for embedded applications 

  Chidella, Kishore K.; Asaduzzaman, Abu; Almohaimeed, Abdulrahman (IEEE, 2020-03-05)

  Real-time microcontrollers are typically constrained to different performance parameters including code size, execution time, and power consumption. These system constraints cooperate with each other in a complicated way, ...

• A self-routing technique for software-defined Networks 

  Almohaimeed, Abdulrahman; Asaduzzaman, Abu (IEEE, 2020-03-05)

  Software-defined networking (SDN) is a centralized organization of computer networking in which all network switches are controlled and monitored by a single remote controller. Similar to any other centralized designs, ...

• Satellite digital channelizer with predistorted high-power amplifier 

  Goswami, Madhuprana; Rana, Vidhi; Kwon, Hyuck M.; Pham, Khanh D.; Lyke, James (IEEE, 2020-03-05)

  A geostationary earth orbit satellite requires high transmitting power (e.g., 20 dBW=100 watts) because the waveform traveling distance can be more than 36,000 km. Thus, it is necessary to operate close to the saturation ...

• Quantum Grover search-based optimization for innovative material discovery 

  Borujeni, Sima E.; Harikrishnakumar, Ramkumar; Nannapaneni, Saideep (IEEE, 2020-02-24)

  Advances in data analysis, machine learning, and combinatorial optimization have accelerated the discovery of new materials with desired properties; this paradigm is commonly referred to as Materials 4.0. Quantum computing ...

• Analysis of large scale distributed generation on radial distribution system: case study in Sri Lanka 

  Sivagnanam, Maheesa; Selvanayagam, Subaranjany; Thiruvaran, Tharmarajah; Vinothine, Shanmugarajah; Nandasiri, Nimanthi Upeka; Aravinthan, Visvakumar (IEEE, 2019-10)

  Large-scale penetration of distributed resources is becoming a reality in many parts of the world. Large scale renewable distributed generation has challenges at the distribution level and significant work is done to ...

• Model for evaluating the reliability of cyber component in power distribution systems 

  Chakraborty, Suvagata; Manoharan, Arun Kaarthick; Hettiarachchige-Don, Anton C. Sameepa; Aravinthan, Visvakumar; Kapourchali, Mohammad Heidari (IEEE, 2019-10)

  The introduction of smart sensors and intelligent electronic devices allow cyber infrastructure to penetrate different levels of power system. Thus, the effective operation of a cyber-physical power system will be affected ...

• Battery energy storage-based strategy for suppressing wind farm's subsynchronous oscillation 

  Yang, Lin; Zhang, Xiaohan; Pang, Chengzong (IEEE, 2019-10)

  In this paper, the battery energy storage supplementary damping control is introduced to suppress the subsynchronous oscillation of DFIG-based wind farm interfaced with series compensation. Firstly, the conventional control ...

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