Browsing SoC Research Publications by Issue Date
Now showing items 1-20 of 46
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Selfie Biometrics : Advances and Challenges
(Springer, 2019)This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric ... -
Learning task-oriented dexterous grasping from human knowledge
(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 ... -
Efficient near-optimal t-closeness with low information loss
(IEEE, 2021-09-22)The t-closeness technique is one of the most popular techniques for preserving individual privacy in data. It involves generalizing and suppressing some attributes of a given table, after partitioning the set of all records ... -
Comprehension of spatial constraints by neural logic learning from a single RGB-D scan
(IEEE, 2021-09-27)Autonomous industrial assembly relies on the precise measurement of spatial constraints as designed by computer-aided design (CAD) software such as SolidWorks. This paper proposes a framework for an intelligent industrial ... -
An experimental evaluation on deepfake detection using deep face recognition
(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 ... -
Investigating fairness of ocular biometrics among young, middle-aged, and older adults
(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 automatic calibration technique for force sensors in a dynamic smart floor environment
(IEEE, 2021-10-17)Pressure-sensitive smart floors deployed within homes can give great insight to the health and activity level of individuals through gait and location information. Due to the ever-changing dynamic nature of household ... -
Design of short blocklength wiretap channel codes: Deep learning and cryptography working hand in hand
(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, ... -
Monocular visual-inertial and robotic-arm calibration in a unifying framework
(IEEE, 2021-10-20)Reliable and accurate calibration for camera, inertial measurement unit (IMU) and robot is a critical prerequisite for visual-inertial based robot pose estimation and surrounding environment perception. However, traditional ... -
Common reality: An interface of human-robot communication and mutual understanding
(Springer, Cham, 2021-11-02)An interface that can share effective and comprehensive mutual understanding is critical for human-robot interaction. This paper designs a novel human-robot interaction interface that enables humans and robots to interact ... -
A survey on machine and deep learning models for childhood and adolescent obesity
(IEEE, 2021-11-25)Childhood and adolescent obesity is a serious health problem that is on the rise at the global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and heart disease affected only adults, but now ... -
DeepNGlypred: A deep neural network-based approach for human N-linked glycosylation site prediction
(MDPI, 2021-12-02)Protein N-linked glycosylation is a post-translational modification that plays an importantrole in a myriad of biological processes. Computational prediction approaches serve as comple-mentary methods for the characterization ... -
Harnessing unlabeled data to improve generalization of biometric gender and age classifiers
(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 ... -
Compact CNN models for on-device ocular-based user recognition in mobile devices
(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
(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 ... -
Work-in-Progress: Enabling secure boot for real-time restart-based cyber-physical systems
(IEEE, 2021-12-07)Several cyber-physical systems use real-time restartbased embedded systems with the Simplex architecture to provide safety guarantees against system faults. Some approaches have been developed to protect such systems from ... -
Convolutional neural network optimization for phishing email classification
(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 ... -
Coverage characteristics of hurricane monitoring CubeSat constellations under orbital perturbations
(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 ... -
Toward on-device weight monitoring from selfie face images using smartphones
(Springer, 2022-02-24)Obesity is a serious health problem that is on the rise at the global level. Recent studies suggest that BMI can be inferred from facial images using deep learning-based convolutional neural networks (CNNs) for obesity ... -
An IoT-based framework for an optimal monitoring and control of cyber-physical systems: Application on Biogas Production system
(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 ...