Recent Submissions

  • Utilizing Machine Learning to Predict Offshore Wind Farm Power Output for European Countries 

    Ozturk, Oktay; Hangun, Batuhan; Shoaeinaeini, Maryam (IEEE, 2022-10-25)
    One might assume that the types of energy resources used by a country and its level of development are related since developed nations focus on using alternative energy sources like the wind to produce green and sustainable ...
  • On the Application of Accessible Wayfinding Systems for Tourism 

    Namboodiri, Vinod; Garfias, Francisco R.; Abraham, Ajay; Joseph, Siny (IEEE, 2022-09-23)
    Tourism is characterized by people searching for valuable information in unfamiliar surroundings. Recent advances in indoor and outdoor wayfinding systems that complement satellite-based systems provide many opportunities ...
  • Beyond just safety: Delay-aware security monitoring for real-time control systems 

    Hasan, Monowar; Mohan, Sibin; Bobba, Rakesh B.; Pellizzoni, Rodolfo (Association for Computing Machinery, 2022-07-01)
    Modern embedded real-time systems (RTS) are increasingly facing more security threats than the past. A simplistic straightforward integration of security mechanisms might not be able to guarantee the safety and predictability ...
  • Towards efficient auditing for real-time systems 

    Bansal, Ayoosh; Kandikuppa, Anant; Chen, Chien-Ying; Hasan, Monowar; Bates, Adam; Mohan, Sibin (Springer Science and Business Media Deutschland GmbH, 2022-09-24)
    System auditing is a powerful tool that provides insight into the nature of suspicious events in computing systems, allowing machine operators to detect and subsequently investigate security incidents. While auditing has ...
  • Quantifying the cost of privately storing data in distributed storage systems 

    Chou, Rémi (IEEE, 2022-07-01)
    Consider a user who wishes to store a file in multiple servers such that at least t servers are needed to reconstruct the files, and z colluding servers cannot learn any information about the file. Unlike traditional models, ...
  • Function computation without secure links: Information and leakage rates 

    Chou, Rémi; Kliewer, Joerg (IEEE, 2022-06-26)
    Consider L users, who each holds private data, and one fusion center who must compute a function of the private data of the L users. To accomplish this task, each user can make a single use of a public and noiseless broadcast ...
  • Automated testing to detect status data loss in Android applications 

    Konduru, Anusha; Shan, Zhiyong (IEEE, 2022-06-30)
    When user installs an Android app, it is expected that the data should be persistent at all states, which requires saving the instance data for all the activities. An app can be paused or sent to the background due to other ...
  • Deep Learning–Based Advances 

    Pakhrin, Subash C.; Pokharel, Suresh; Saigo, Hiroto; KC, Dukka B. (Humana Press Inc., 2022-06-14)
    Posttranslational modification (PTM ) is a ubiquitous phenomenon in both eukaryotes and prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two flavors: covalent modification to polypeptide ...
  • Approaches to investigating disaster risk reduction (DRR) 

    Jothimani, Santhosh (Wichita State University, 2022-04-29)
    Wide-ranging and uncertain threats from natural disasters to public health, energy networks, cybersecurity, and other interconnected facets of human activity make explicit the need for the development of resilience-driven ...
  • Holographic augmented reality visualization interface for exploration 

    Bui, Bill; Hutton, Abbie; Adekalu, Oluwasayo; Hubener, Valerie; Zavala, P.; Hinshaw, Ramil; Karim, Radeef Ashhab Bin (Wichita State University, 2022-04-29)
    Based on Wichita's wheat harvesting nickname, Harvesters, Wichita State University NASA SUITS (Spacesuit User Interface Technologies for Students) team Harvestars proposed the integrated system H. A. R. V. I. E. (Holographic ...
  • Coverage characteristics of hurricane monitoring CubeSat constellations under orbital perturbations 

    Chadalavada, Pardhasai; Dutta, Atri (AIAA, 2022-01-03)
    Miniaturized precipitation radars deployed on CubeSats have the potential to significantly improve hurricane forecasting by collecting measurements over data-starved regions and by complementing the existing sensor ...
  • Convolutional neural network optimization for phishing email classification 

    Salinas Monroy, Sergio A.; McGinley, Cameron (IEEE, 2021-12-15)
    Phishing emails are one of the most common and effective tools that cybercriminals use to gain access to an organization’s network or personal information. To detect these attacks, email service providers use a variety of ...
  • Compact CNN models for on-device ocular-based user recognition in mobile devices 

    Almadan, Ali; Rattani, Ajita (IEEE, 2021-12-05)
    A number of studies have demonstrated the efficacy of deep learning convolutional neural network (CNN) models for ocular-based user recognition in mobile devices. However, these high-performing networks have enormous space ...
  • Privacy-preserving online mirror descent for federated learning with single-sided trust 

    Odeyomi, Olusola T.; Zaruba, Gergely (IEEE, 2021-12-05)
    This paper discusses how clients in a federated learning system can collaborate with privacy guarantee in a fully decentralized setting without a central server. Most existing work includes a central server that aggregates ...
  • Harnessing unlabeled data to improve generalization of biometric gender and age classifiers 

    Nadimpalli, Aakash Varma; Reddy, Narsi; Ramachandran, Sreeraj; Rattani, Ajita (IEEE, 2021-12-05)
    With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled data for model training and optimum parameter ...
  • Investigating fairness of ocular biometrics among young, middle-aged, and older adults 

    Krishnan, Anoop; Almadan, Ali; Rattani, Ajita (IEEE, 2021-10-11)
    A number of studies suggest bias of the face biometrics, i.e., face recognition and soft-biometric estimation methods, across gender, race, and age-groups. There is a recent urge to investigate the bias of different biometric ...
  • An experimental evaluation on deepfake detection using deep face recognition 

    Ramachandran, Sreeraj; Nadimpalli, Aakash Varma; Rattani, Ajita (IEEE, 2021-10-11)
    Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to the generation of very realistic fake ...
  • An IoT-based framework for an optimal monitoring and control of cyber-physical systems: Application on Biogas Production system 

    Aguida, Mohamed Anis; Ouchani, Samir; Benmalek, Mourad (ACM, 2022-03-08)
    Among the possible conversion processes for biomass is Anaerobic Digestion (AD) that produces a valuable energy known as biogas. However, the instability of biogas production is challenging due to the complex process of ...
  • Learning task-oriented dexterous grasping from human knowledge 

    Li, Hui; Zhang, Yinlong; Li, Yanan; He, Hongsheng (IEEE, 2021-05-30)
    Industrial automation requires robot dexterity to automate many processes such as product assembling, packaging, and material handling. The existing robotic systems lack the capability to determining proper grasp strategies ...
  • Design of short blocklength wiretap channel codes: Deep learning and cryptography working hand in hand 

    Rana, Vidhi; Chou, Rémi (IEEE, 2021-10-17)
    We design short blocklength codes for the Gaussian wiretap channel under information-theoretic security guarantees. Our approach consists in decoupling the reliability and secrecy constraints in our code design. Specifically, ...

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