Article
Computer Science, Information Systems
Masaki Ohno, Kazuma Aoyama, Tomohiro Amemiya, Hideaki Kuzuoka, Keigo Matsumoto, Daisuke Mine, Takuji Narumi
Summary: This study proposes a novel method to enhance the intensity of perceived piquancy using single-pole electrical stimulation and demonstrates its selective enhancement of the HOT sensation. This is the first study to establish a method for enhancing the perceived piquancy using only electrical stimulation.
Article
Computer Science, Software Engineering
Colin Groth, Jan-Philipp Tauscher, Nikkel Heesen, Max Hattenbach, Susana Castillo, Marcus Magnor
Summary: This paper proposes the use of omnidirectional galvanic vestibular stimulation (GVS) to mitigate cybersickness in virtual reality applications, and provides experimental evidence for its effectiveness.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Chemistry, Analytical
Takaya Ishimaru, Satoshi Saga
Summary: Currently, visual Augmented Reality (AR) technology is widely used by the public, while haptic AR technology is popular in the academic field. Conventional haptic AR devices, however, restrict direct contact with real objects. To address this issue, Electrical Muscle Stimulation (EMS) technology is proposed, allowing users to wear the device and interact with real objects without interference. Proper stimulus waveforms, frequency, and pulse width were examined, and the effectiveness of bump sensation using EMS was verified through comparison with existing methods.
Article
Mathematics
Hai'an Yan, Jian Wang, Peng Zhang
Summary: This paper proposes a digital museum that integrates digital media art with AR technology, which is helpful in analyzing and solving the current museums' ecological imbalance and single-system function. The optimized museum guide system based on augmented reality technology improves recognition accuracy up to 98.3%.
Article
Computer Science, Cybernetics
Robin Neuhaus, Ronda Ringfort-Felner, Shadan Sadeghian, Marc Hassenzahl
Summary: Virtual reality has the potential to extend human capabilities beyond reality, but it is unclear whether users perceive augmentation-oriented designs as augmenting and whether the experience is beneficial. Two consecutive experimental vignette studies were conducted to compare reality-oriented designs and augmentation-oriented designs. The findings show that augmentation-oriented designs create a more intensive augmentation experience, which is positively related to positive affect, need fulfillment, usage intention, and hedonic quality. Additionally, a new measure for assessing the subjective experience of augmentation was successfully established.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Information Systems
Hiromi Nakamura, Makoto Mizukami, Kazuma Aoyama
Summary: The study focuses on a new method of GTS that can induce taste sensations at specific locations inside the buccal cavity using electrodes attached around the head. This novel configuration can manipulate the electrical potential distribution in the tongue and control the position where the sensation of taste is induced. This is the first report to achieve induction of spatially selective taste sensations at a specific position in the buccal cavity.
Article
Chemistry, Analytical
Asif Ullah, Yifan Liu, You Wang, Han Gao, Hengyang Wang, Jin Zhang, Guang Li
Summary: Taste is a crucial sense in identifying food types, and research has shown that different combinations of digital coding can generate various flavors. By adjusting electrical and thermal stimulation, the study demonstrated digital coding for different flavors, with the potential to digitally enhance a variety of flavors.
Review
Construction & Building Technology
Yang Song, Richard Koeck, Shan Luo
Summary: In recent years, the use of augmented reality (AR) technologies in architectural design, particularly in digital fabrication projects, has become more widespread. Studies and experiments have emerged focusing on AR applications in architectural digital fabrication, with a focus on areas such as AR 3D holographic instruction, data sharing, and human-computer interaction. This literature review aims to provide insights into the current state-of-the-art of AR in architectural digital fabrication and highlight emerging research areas and future trends in AR function within this field.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Economics
Niklas Gudowsky, Jacqueline Kowalski, Tabea Bork-Hueffer
Summary: Expectations and fears regarding augmented realities span a wide range of anticipatory imaginations, highlighting the political and economic implications of developing such technologies. The methodology and results of an iterative survey-based scenario-building process are introduced, outlining four extreme scenarios and their potential effects on societies. This article reflects on the limits of the scenario-building process.
Article
Robotics
Hiromi Nakamura, Tomohiro Amemiya, Jun Rekimoto, Hideyuki Ando, Kazuma Aoyama
Summary: This study focused on the taste enhancement effect of anodal GTS on sodium chloride solutions. Two psychophysical experiments were conducted, showing that the perceived intensity of saltiness increased as the current intensity applied to the chin increased, with magnification ratios exceeding 1 under all conditions of the NaCl solution.
JOURNAL OF ROBOTICS AND MECHATRONICS
(2021)
Review
Chemistry, Multidisciplinary
Carlos E. Mendoza-Ramirez, Juan C. Tudon-Martinez, Luis C. Felix-Herran, Jorge de J. Lozoya-Santos, Adriana Vargas-Martinez
Summary: This article is a systematic literature review on augmented reality (AR) technology, aiming to explore the limitations and implementation challenges of applying AR technology in engineering and other fields. The review discusses the state-of-the-art AR techniques, potential use cases, and barriers to widespread adoption, while also identifying future research directions and opportunities for innovation in this rapidly evolving field. It serves as a compilation of existing technologies, particularly useful for beginners in AR or developers seeking to innovate or implement new technologies, providing insights into the limitations and current challenges that may arise.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics, Applied
Mrudang Mathur, Josef M. Brozovich, Manuel K. Rausch
Summary: Augmented reality has been widely used in the video game industry, but its application in scientific visualization is still limited. To address this issue, the authors propose a novel visualization pipeline that enables scientists to create and render AR models. The pipeline is applicable to data represented through meshed surfaces, and utilizes open-source software packages ParaView and Blender. The authors provide python scripts to automate the process, making it accessible for researchers and educators to create and render AR models for their own purposes.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2023)
Article
Computer Science, Software Engineering
Long Qian, Tianyu Song, Mathias Unberath, Peter Kazanzides
Summary: This article proposes AR-Loupe, a combination of loupes and optical see-through head-mounted displays, to provide augmented reality with improved visual acuity and accuracy. Through the integration of a commercial OST-HMD and binocular magnifying loupes, AR-Loupe allows users to achieve sub-millimeter accuracy and enhance their ability to perform high-precision tasks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Chemistry, Multidisciplinary
Selma Rizvic, Dusanka Boskovic, Vensada Okanovic, Ivona Ivkovic Kihic, Irfan Prazina, Bojan Mijatovic
Summary: The paper discusses the latest applications using VR and AR technologies for interactive digital storytelling about the history of Bosnia and Herzegovina, including the first BH VR documentary "Nine dissidents" and the Virtual Museum of Old Crafts that aims to preserve intangible heritage through Virtual Reality.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Shimin Liu, Shanyu Lu, Jie Li, Xuemin Sun, Yuqian Lu, Jinsong Bao
Summary: Digital twin machining technology can ensure machining quality by observing the machining process in real time, but the current display method of virtual-real separation limits its effectiveness. Therefore, augmented reality monitoring technology based on digital twin machining system is proposed to promote collaboration between operators and digital twin system and ensure machining quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Simrandeep Singh, Harbinder Singh, Anita Gehlot, Jaskirat Kaur, Gagandeep
Summary: In this paper, a novel approach of infrared and visible image fusion based on Discrete Wavelet Transform and bilateral filter is proposed. The method achieves superior performance in preserving image details and clarity compared to other existing techniques.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hemant Ghayvat, Muhammad Awais, A. K. Bashir, Sharnil Pandya, Mohd Zuhair, Mamoon Rashid, Jamel Nebhen
Summary: A SARS-CoV-2 virus-specific RT-PCR test is commonly used for diagnosing COVID-19, but it takes time and may require serial testing. Machine learning is a complementary diagnostic technique that can automatically detect infection regions in CT scans of COVID-19 patients. ML models have shown to be suitable for direct detection of COVID-19(+) and can significantly reduce the time required for manual delineation of infection areas.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Aabid Rashid Wani, Sachin Kumar Gupta, Zeba Khanam, Mamoon Rashid, Sultan S. Alshamrani, Mohammed Baz
Summary: This paper focuses on enhancing user security in unmanned aerial vehicle integrated heterogeneous networks by introducing an identity-based authentication mechanism. By implementing identity-based schemes and using coded language for verification, the researchers propose a feasible solution to improve security and mitigate potential intruder threats.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Review
Engineering, Manufacturing
Vishal Thakur, Rupinder Singh, Ranvijay Kumar, Anita Gehlot
Summary: The use of thermoresponsive smart polymers in 3D printing applications is of great interest and importance in various fields such as sensors, drug delivery, and tissue engineering. This research paper provides comprehensive information on the processing, application, and tools required for 3D printing thermoresponsive materials, as well as the future prospects of research in this area. The paper also discusses the effects of specific stimuli on shape change behavior and presents innovative case studies on the recycling of thermoresponsive materials for biomedical applications.
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM
(2023)
Article
Automation & Control Systems
Subramanian Kanageswari, D. Gladis, Irshad Hussain, Sultan S. Alshamrani, Abdullah Alshehri
Summary: In this study, we discuss the diagnosis of lung cancer and the health hazards associated with air pollution. Through data mining techniques, we propose a highly accurate method for handling and analyzing data related to lung cancer and air pollution.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Sanjeev Kimothi, Asha Thapliyal, Rajesh Singh, Mamoon Rashid, Anita Gehlot, Shaik Vaseem Akram, Abdul Rehman Javed
Summary: The establishment of a framework for aqua farming database collection and real-time monitoring is crucial for enhancing and digitizing aqua farming. The use of cutting-edge technologies for data collection and real-time monitoring is beneficial for the conservation and advancement of traditional aquatic farming, especially in hilly areas that strive for sustainable development goals. Geotagging and geomapping of aqua resources enable the monitoring of species in the aquatic environment, tracking of real-time health status and movements, and foraging behaviors of aquatic species. This study proposes an IoT-based architecture for managing aqua resources and geospatial data to achieve eco-sustainability. It also discusses the development of a web-based framework using geographic information systems (GIS) and geo positioning system (GPS) for the fisheries sector and the creation of a database for aqua resource management. The study presents detailed results of database generation and fishpond monitoring in a cloud server. Machine learning (ML) is integrated into the framework for analyzing sensor data and geospatial data to identify water quality degradation, providing policymakers with real-time information for crucial decisions in the further development of aquatic species and the economy.
Article
Engineering, Chemical
Sanjay Chauhan, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Bhekisipho Twala, Neeraj Priyadarshi
Summary: Supply chain management is an important area that needs to incorporate sustainability for responsible consumption and production. However, there are limited studies on the significance of Industry 4.0 technologies in sustainable SCM. This study aims to discuss the role of Industry 4.0 technologies and identify important areas for future research in sustainable SCM.
Article
Computer Science, Hardware & Architecture
N. Praveena, Kapil Juneja, Mamoon Rashid, Alaa Omran Almagrabi, Kaushik Sekaran, Rajakumar Ramalingam, Muhammad Usman
Summary: The degree of openness and vulnerability to fake profiles in socially aware recommendation systems can lead to biased predictions. Existing shilling attack detection mechanisms rely on artificial features derived from user-generated data, but they lack accuracy in capturing the nuanced relationships between users and objects. This study introduces a Hybrid deep learning mechanism that utilizes recurrent gated units and CNN to enhance detection accuracy and improve the analysis of spatial-temporal data.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Yamini Ghildiyal, Rajesh Singh, Ahmed Alkhayyat, Anita Gehlot, Praveen Malik, Rohit Sharma, Shaik Vaseem Akram, Lulwah M. Alkwai
Summary: The United Nations has set a target of achieving sustainability by 2030 in terms of social, economic, and environmental aspects. It has been recognized that digitalization and Industry 4.0 play a significant role in meeting this goal. This study explores the importance of 6G communication in the context of Industry 4.0, focusing on the fundamental technologies of 6G wireless communications and the enabling technologies of Industry 4.0. The study presents recommendations and discusses challenges for future research in implementing 6G communication for achieving sustainability with Industry 4.0.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Health Care Sciences & Services
Hassan A. Alshamrani, Mamoon Rashid, Sultan S. Alshamrani, Ali H. D. Alshehri
Summary: Knee osteoarthritis is a challenging problem with no cure yet, and early detection is crucial for controlling its progression. Automated systems based on machine learning have been proposed for predicting osteoarthritis from X-ray images, but higher predictive accuracy is still needed. This paper suggests the use of transfer learning models based on sequential convolutional neural networks (CNNs), VGG-16, and ResNet-50, achieving a testing accuracy of 92% and showing the best performance in detecting knee osteoarthritis.
Article
Computer Science, Information Systems
Rajesh Singh, Anita Gehlot, Piyush Kuchhal, Sushabhan Choudhury, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan
Summary: There is widespread concern about an electricity shortage due to population growth. To address this issue, smart devices have been developed to reduce power consumption in home appliances. However, there is a lack of a universal remote control that can regulate home appliances based on environmental conditions. To overcome this, a hardware-based remote-control system is proposed in this study to operate in both autonomous and semiautonomous modes.
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
Article
Mathematics, Applied
Muniyan Rajeswari, Rajakumar Ramalingam, Shakila Basheer, Keerthi Samhitha Babu, Mamoon Rashid, Ramar Saranya
Summary: This article introduces a method for converting a single-objective combinatorial problem into a multi-objective one using the Pareto front approach. It proposes a multi-objective artificial bee colony optimization algorithm with fitness sharing to address the issue of satisfying constraints while achieving optimal performance. The proposed algorithm is evaluated using standard performance indicators and outperforms other algorithms.
Article
Social Sciences, Interdisciplinary
Santosh Kumar Henge, Gnaniyan Uma Maheswari, Rajakumar Ramalingam, Sultan S. Alshamrani, Mamoon Rashid, Jayalakshmi Murugan
Summary: This article discusses the importance of cross-platform UX/UI designs and frameworks in building web applications and websites effectively. It emphasizes the use of third-party libraries and plug-ins for quick application development, while also highlighting the security risks associated with them. The paper proposes a multi-authentication approach to analyzing third-party applications and libraries to enhance web desensitization and access control. The study utilizes decision-making indicators, supporting factors, and data metrics to make accurate decisions about unwanted libraries and plug-ins.
Article
Green & Sustainable Science & Technology
Archana Saxena, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Bhekisipho Twala, Aman Singh, Elisabeth Caro Montero, Neeraj Priyadarshi
Summary: Sustainability is crucial for achieving Sustainable Development Goals by 2030. ESG metrics are used to evaluate the sustainability of an organization. Implementing Industry 4.0 technologies can overcome the obstacle of low availability of ESG data, enabling real-time data, authentication, prediction, transparency, and structured data.
