Article
Computer Science, Artificial Intelligence
Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas
Summary: Mental health problems are increasing globally, putting pressure on national healthcare systems. Mental disorders are often linked to stigma, financial burden, and lack of resources. Technology for mental well-being has attractive properties, allowing for advanced clinical monitoring. However, challenges such as data collection, privacy, and battery life need to be carefully addressed.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Georgios N. Yannakakis, David Melhart
Summary: This article surveys the current state-of-the-art in affective computing principles, methods, and tools as applied to games. It reviews the emerging field of affective game computing through the lens of the four core phases of the affective loop and provides a taxonomy of terms, methods, and approaches used across these phases. Additionally, it comprehensively reviews available affect data collection methods and discusses the limitations and future research directions of affective game computing.
PROCEEDINGS OF THE IEEE
(2023)
Review
Computer Science, Information Systems
Resham Arya, Jaiteg Singh, Ashok Kumar
Summary: Affective computing is a multidisciplinary research field, encompassing domains such as sociology, psychology, computer science, physiology, mathematics, and linguistics. This paper explains the contributions of these fields in affective computing, introduces existing affective databases, discusses the impact of affective computing in various applications, and reveals challenges and suggested solutions for future work in this field.
COMPUTER SCIENCE REVIEW
(2021)
Article
Psychology, Multidisciplinary
Xieping Chen, Yu Zhang, Qian Xie
Summary: This paper constructs an interactive health education model for adolescents using affective computing, and the experimental results demonstrate the importance of paying attention to the health education of adolescents.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul
Summary: With the increasing use of wearable devices with embedded sensors, there is potential for modeling individual emotional and mental state variations. While there have been studies exploring digital behavior differences between groups with and without mental disorders, the interaction between physiological states and affective states within a predominantly depressive population remains to be studied. This study proposes models that leverage multiple raw signal-to-image transformations to predict depression severity and affective state, and evaluates them using a dataset.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Shahidullah Kaiser, Md Sadun Haq, Ali Saman Tosun, Turgay Korkmaz
Summary: Container technology is gaining popularity as an alternative to traditional virtual machines because it provides a faster, lighter, and more portable runtime environment. The ARM architecture is becoming prevalent in container technologies due to its energy efficiency and high-performance.
Editorial Material
Chemistry, Multidisciplinary
Fernando Gomollon-Bel, Javier Garcia-Martinez
Summary: Chemistry plays a crucial role in addressing current challenges and ensuring a sustainable future. IUPAC has been identifying technologies since 2019 that have the potential to advance society and improve quality of life.
Article
Computer Science, Software Engineering
Tiffany Luong, Anatole Lecuyer, Nicolas Martin, Ferran Argelaguet
Summary: This study aims to classify and summarize the relationship between virtual reality and affective and cognitive states. It provides explanations of ACS models and methods for measuring them, and presents examples of affective and cognitive VR studies conducted in non-clinical environments.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Review
Computer Science, Information Systems
Imed Ben Dhaou, Mousameh Ebrahimi, Meriam Ben Ammar, Ghada Bouattour, Olfa Kanoun
Summary: The health sector is undergoing a significant paradigm shift, with wearable devices playing a crucial role in the Internet of Medical Things, focusing on technologies such as biological sensors, low-power processors, and communication technologies. Energy harvesting techniques have been proposed to enhance the usability and operating time of wearable devices.
Article
Agriculture, Dairy & Animal Science
Zsuzsanna Benedek, Karoly Dublecz, Ilona Anna Koltay, Gabor Fitos, Vanda Kisanna Varhelyi, Marianna Magyar, Bela Pirko, Nora Hegedusne Baranyai
Summary: There is a lack of information in Hungary about pig production technologies and changes since 2005, as well as the number of pigs kept in different categories. Our research team conducted a survey of pig farms to assess housing and manure management technologies in 2005 and 2015. The survey resulted in a database of practices in Hungarian pig production and a tool for farmers to calculate ammonia emissions.
Article
Computer Science, Interdisciplinary Applications
Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Prabadevi, N. Deepa, Kapal Dev, Thippa Reddy Gadekallu, Rukhsana Ruby, Madhusanka Liyanage
Summary: Industry 5.0 is the future industrial revolution that aims to leverage human expertise in collaboration with intelligent machines to achieve more efficient manufacturing solutions than Industry 4.0. This article introduces the potential applications and supporting technologies of Industry 5.0, and highlights the research challenges and open issues that need to be further developed.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Computer Science, Artificial Intelligence
Ming Jiang, Xingsheng Qin
Summary: This survey comprehensively examines the application of blockchain-based systems in vehicular networks and mobile edge computing, including concepts, theories, platforms, available DLT-related tools, and future research directions and issues.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Information Systems
Henri T. Heinonen, Alexander Semenov, Jari Veijalainen, Timo Hamalainen
Summary: Bitcoin consumes a significant amount of energy due to the mining process, but the transaction volume is not directly connected to the mining power and energy consumption. Bitcoin has potential as a global reserve currency and a cybersecurity method, and there are technological solutions to improve the environmental impact of cryptocurrencies.
Article
Computer Science, Artificial Intelligence
Geneva M. Smith, Jacques Carette
Summary: This study aims to assist in the design of computational models that can generate emotions in computer agents and interfaces. It provides an overview of 67 CMEs from various domains, analyzes the emotion theories used by these models, and summarizes how they generally utilize each theory.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2022)
Article
Chemistry, Analytical
Laura Gutierrez-Martin, Elena Romero-Perales, Clara Sainz de Baranda Andujar, Manuel F. Canabal-Benito, Gema Esther Rodriguez-Ramos, Rafael Toro-Flores, Susana Lopez-Ongil, Celia Lopez-Ongil
Summary: Affective computing through physiological signals monitoring is a hot topic in both scientific literature and industry. Wearable devices for health and wellness tracking are being developed, as well as applications for early detection and emotion classification. However, there are still unexplored biological elements that could provide additional information.
Article
Computer Science, Information Systems
Rajdeep Kumar Nath, Himanshu Thapliyal, Allison Caban-Holt
Summary: This study evaluated the effectiveness of a wearable physiological stress monitoring system in older adults using machine learning techniques. Logistic regression performed the best among the evaluated machine learning algorithms, while LSTM showed potential in improving classification accuracy for stress states.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Rohani Rohan, Suree Funilkul, Debajyoti Pal, Himanshu Thapliyal
Summary: With the increasing popularity of consumer Internet of Things devices, understanding the associated security and privacy risks has become urgent. Currently, the consumer electronics community often overlooks the human factor in cybersecurity solutions for the IoT. This work emphasizes the need for a human-centric approach to cybersecurity and proposes a Security & Privacy Preserving framework to illustrate how this approach can be initiated and maintained. It is hoped that these findings will help the consumer electronics community recognize the importance of a human-centric approach.
IEEE CONSUMER ELECTRONICS MAGAZINE
(2022)
Article
Computer Science, Information Systems
Tyler Cultice, Himanshu Thapliyal
Summary: In this paper, we introduce a PUF-based post-quantum cryptographic CAN-FD framework that reduces information transmission and storage while providing post-quantum security. Compared to existing pre-quantum and post-quantum CAN frameworks, our proposal effectively protects the CAN network from cryptographic attacks.
Article
Engineering, Electrical & Electronic
Zachary Kahleifeh, Himanshu Thapliyal, Syed M. Alam
Summary: In this paper, a secure and low-energy Physically Unclonable Function (PUF) is designed using adiabatic logic and Magnetic Tunnel Junctions (MTJ). The proposed PUF offers two modes of operation depending on the orientation of the MTJ, with average reliabilities of 97.07% and 96.97% and energy consumptions of 5.2 fJ and 5.1 fJ per bit.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Review
Multidisciplinary Sciences
Rohani Rohan, Debajyoti Pal, Jari Hautamaki, Suree Funilkul, Wichian Chutimaskul, Himanshu Thapliyal
Summary: Information Security Awareness (ISA) is an important concept that has gained significant attention recently, and can help reduce the risks associated with information security breaches. While several measurement scales have been developed for this purpose, the methodological rigor and scale validation of these scales remain unknown.
Article
Psychology, Multidisciplinary
Debajyoti Pal, Vajirasak Vanijja, Himanshu Thapliyal, Xiangmin Zhang
Summary: In this research, a comprehensive approach was taken to generate personality descriptors for CAI agents, resulting in 235 unique descriptors grouped into 8 personality dimensions. The study found that the personality traits of these agents have significant effects on the relationship and usage scenario, with different personality types leading to different types of relationships. There is a conceptual difference between love for AI and love for brands. The findings of this research not only contribute to the creation of suitable machine personalities for AI-based agents, but also provide a unique perspective on the adoption of emerging AI technologies by exploring the aspect of love between humans and machines.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Md. Saif Hassan Onim, Himanshu Thapliyal
Summary: Stress can worsen age-related diseases in older adults and reduce their quality of life. To address this issue, this paper presents a context-aware stress detection method for older adults using machine learning and cortisol biomarker. The proposed machine learning model classifies stress levels based on data from EDA, BVP, and IBI sensors, with context features captured from the TSST protocol. The results demonstrate that the context-aware machine learning model outperforms the model without context, achieving high accuracy and F1-score in distinguishing different stress levels.
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2023, GLSVLSI 2023
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Joseph Clark, Travis Humble, Himanshu Thapliyal
Summary: Proposing the Tree-based Directed Acyclic Graph (TDAG) partitioning method for quantum circuits, which partitions circuits based on binary trees and selects the tree with the most gates. TDAG achieves comparable partitioning quality (number of partitions) to ScanPartitioner (an exhaustive search algorithm) with a 95% average reduction in execution time. Furthermore, compared to the faster QuickPartitioner method, TDAG improves partition quality by 38% with minimal overhead in execution time.
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2023, GLSVLSI 2023
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Tyler Cultice, Joseph Clark, Himanshu Thapliyal
Summary: Controller Area Network (CAN) is widely used in 3D printer communication, but single-bus CAN network designs have vulnerabilities like hijacking, denial-of-service, and eavesdropping. To address these issues, we propose a hierarchical tree-based design that protects the CAN bus and isolates critical systems. By organizing ASCON-encrypted network routing into smaller, authenticated CAN subnets, modular 3D printers can maintain the integrity, confidentiality, and authenticity of all traffic. Our preliminary results show 88-99% hardware efficiency between pre-existing client nodes and total nodes after conversion to our framework.
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2023, GLSVLSI 2023
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Bhaskar Gaur, Edgard Munoz-Coreas, Himanshu Thapliyal
Summary: Quantum Computing is advancing in implementing quantum algorithms in various fields. Our research aims to minimize circuit depth to facilitate the implementation of quantum modulo addition circuits on NISQ machines. Our proposed QCLMA reduces the depth and helps increase noise fidelity.
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2023, GLSVLSI 2023
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Bhaskar Gaur, Travis Humble, Himanshu Thapliyal
Summary: Approximate computing is used to improve the noise resilience of quantum adder circuits in NISQ quantum computing, reducing circuit depth and improving fidelity. Five designs of approximate quantum adders are proposed, with three designs including carryout and two without carryout. Experimental results show that the proposed approximate adders have improved fidelity ranging from 8.34% to 219.22% compared to exact quantum ripple carry adder without carryout, and from 8.23% to 371% compared to exact quantum ripple carry adder with carryout. The proposed approximate quantum adders are also evaluated using various error metrics.
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2023, GLSVLSI 2023
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Milad Tanavardi Nasab, Himanshu Thapliyal
Summary: Using BNN and MTJ devices in a LiM architecture with adiabatic circuits can achieve lower power consumption and area overhead in applications with limited hardware and power resources. The proposed design offers significant improvements in power consumption and area compared to existing counterparts, making it a promising choice for BNN hardware implementation.
2023 IEEE 23RD INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY, NANO
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Wu Yang, Amit Degada, Himanshu Thapliyal
Summary: This article proposes a novel sense amplifier based on adiabatic logic for improving the energy efficiency of STT-MRAM design. The circuit shows an average energy efficiency improvement of 68.92% in the IoT frequency range for the STT-MRAM array.
2022 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Joseph Clark, Himanshu Thapliyal, Travis S. Humble
Summary: The study proposes a method of circuit partitioning that addresses the exponential growth problem in quantum synthesis, and is competitive with existing algorithms in terms of speed and quality.
2022 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2022)
(2022)
Article
Nanoscience & Nanotechnology
Amit Degada, Himanshu Thapliyal
Summary: This article explores the design of energy-efficient and secure cryptographic circuits for low-frequency medical devices. The use of single-rail Clocked CMOS Adiabatic Logic (CCAL) shows significant energy-saving and improved security performance compared to conventional CMOS logic-based circuits.
IEEE OPEN JOURNAL OF NANOTECHNOLOGY
(2022)
