Article
Water Resources
Christina Tague, James Frew
Summary: Earth system models synthesize the science of interactions amongst biophysical and human processes, with ecohydrologic models focusing on the complex interactions between ecosystem processes and water. These models complement field-based science by creating virtual laboratories that combine theory, empirical relationships, and new data. To improve ecohydrologic models' usefulness, better visualization is needed, ranging from existing technologies to novel software engineering and human-computer interface design.
HYDROLOGICAL PROCESSES
(2021)
Article
Computer Science, Theory & Methods
Aron Kondoro, Imed Ben Dhaou, Hannu Tenhunen, Nerey Mvungi
Summary: This paper investigates the impact of IoT communication security protocols on the real time requirements of smart grid functions. Results show that the increase in delay was within recommended standards for microgrid monitoring, but exceeded recommended standards for control operations.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Chemistry, Analytical
Thomas Burns, Gregory Fichthorn, Jason Ling, Sharare Zehtabian, Ladislau Boloni, Damla Turgut
Summary: Temperature regulation in modern smart homes involves a mix of traditional and emergent technologies, with the home controller predicting how its actions will impact environmental factors. This study investigates the predictability of temperature values in different rooms based on sensor readings and explores the potential for increased accuracy by adding sensors to capture door and window states. Experimental results using a scaled IoT-enabled model show that additional data can improve prediction accuracy, but machine learning models need to be carefully tailored to the available data features.
Article
Biochemical Research Methods
Zhenwei Luo, Fengyun Ni, Qinghua Wang, Jianpeng Ma
Summary: OPUS-DSD is an algorithm that efficiently reconstructs the structural landscape embedded in cryo-EM data, allowing for exploration of structural variations and improved reconstruction resolution.
Article
Business
Timber Haaker, Pham Thi Minh Ly, Nhan Nguyen-Thanh, Hanh Thi Hong Nguyen
Summary: This paper aims to better understand emerging IoT business models in Vietnam by identifying and interpreting business model design options and choices. Through case studies and morphological analysis, a generic IoT business model is created, providing business model alternatives for each of the four business model dimensions. Insights into commonalities and discrepancies of IoT-based business models are provided, along with a novel application of morphological analysis to create a generic business model for IoT applications in emerging markets.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Computer Science, Information Systems
Omar Said
Summary: The paper focuses on QoS challenges in IoT and proposes a scheme to guarantee QoS in IoT environments. Data and network types in the IoT environment are considered to select the most efficient QoS methodology. A QoE scheme is also proposed to evaluate IoT data. The QoS and QoE schemes are combined to create a more generalized QoE/QoS-oriented scheme, which shows higher efficiency and improved performance in simulation environments.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Jie Liu, Wei Ren
Summary: This paper introduces the application of edge computing technology in the context of artificial intelligence and the Internet of Things, and applies it to hip-hop strength training. The experimental results show that edge computing technology is more effective and feasible in strength training compared to traditional teaching.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Tianxiang Wang, Qun Dai, Muxuan Yuan
Summary: This paper presents a deep learning solution to the video prediction problem. The proposed DPR-LC-Net model overcomes the limitations of existing models by using predictive coding and pixels in real frames to generate clear prediction frames with minimal errors in multi-step predictions. The model's calculation process is sequential and includes a pixel restoration module that efficiently improves the clarity of predicted frames. Extensive experiments demonstrate that DPR-LC-Net outperforms state-of-the-art models in terms of prediction performance.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2023)
Article
Biochemical Research Methods
N. J. Fonseca, M. Q. L. Afonso, L. Carrijo, L. Bleicher
Summary: CONAN is a web application developed for detecting specificity determinants and function-related sites through amino acids co-variation networks analysis, with a focus on local coevolutionary constraints. The software enables the characterization of structurally and functionally relevant residue groups by automatically cross-referencing with GO terms, UniprotKb annotations, and INTERPRO.
Article
Computer Science, Information Systems
Anastasija Collen, Niels Alexander Nijdam
Summary: This paper presents a Dynamic Risk Assessment Framework (DRAF) for smart home environments, aiming to automate the identification of ongoing attacks and the evaluation of associated risks. Experimental results indicate strong potential for the framework in controlling the balance between cyber security and privacy compromise.
Article
Automation & Control Systems
Fadi AL-Turjman, B. D. Deebak
Summary: Technological advancements have enabled the connectivity of Internet devices for data observation and measurement of physical entities, with a focus on transforming raw data into smart data for better decision-making processes and privacy protection. This transformation plays a crucial role in improving user experience and device access.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Zhicheng Dai, Qianqian Zhang, Xiaoliang Zhu, Liang Zhao
Summary: The increasing number of research literatures on IoT in education, with China, the United States, and Spain being the major active countries. The focus of research is shifting towards the deep integration of intelligent technology and education, but the practical application is still in its infancy.
Article
Multidisciplinary Sciences
Skylar Cuevas, Qi (Kathy) Liu, Helen Qian, Max E. Joffe, Karisa Calvitti, Megan Schladt, Eric P. Skaar, Kendra H. Oliver
Summary: This study examines the design of artscience programs through data analysis to achieve more efficient programming. It finds that artists are more likely to have positive learning experiences in the program, while scientists prioritize thinking skills and science communication to the public. The length and virtual nature of the program are also identified as areas that need improvement.
Article
Computer Science, Interdisciplinary Applications
Ziya Usta, Cetin Comert, Alper Tunga Akin
Summary: This study presents a web-based application for efficient management of large 3D city models, offering functionalities such as 3D tiling, web-based visualization, 3DCM generation, and 3D spatial analysis. It complies with international standards and utilizes open-source software components, leveraging modern web technologies to enable precise and efficient spatial computations.
EARTH SCIENCE INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Anastasios Alexiadis, Angeliki Veliskaki, Alexandros Nizamis, Angelina D. Bintoudi, Lampros Zyglakis, Andreas Triantafyllidis, Ioannis Koskinas, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras
Summary: In recent years, there has been a growing use of Intelligent Personal Agents that can engage in complex dialogues with humans and effectively control smart devices. This article introduces the second generation of the CERTH Intelligent Personal Agent (CIPA-Generation B), which utilizes Natural Language Understanding (NLU) and Machine Learning (ML) to handle complex sentences and execute plans of actions.
INTEGRATED COMPUTER-AIDED ENGINEERING
(2022)
Article
Engineering, Biomedical
Vivek A. S. Ramakrishna, Uphar Chamoli, Alessandro G. Larosa, Subhas C. Mukhopadhyay, B. Gangadhara Prusty, Ashish D. Diwan
Summary: This study explores the effects of posterior supplemental fixation on facet micromotions, cage loads, and load-patterns at adjacent levels in a L4-L5 XLIF procedure. The results indicate that the extent of posterior fixation is closely related to the reduction of loads and micromotions at the index-level facets, while changes in load-patterns at adjacent facets may vary anatomically. Unilateral fixation provides similar stability compared to bilateral, with the added benefit of reducing stress-risers on the cage. This study highlights the importance of considering posterior supplemental fixation in combination with clinical information.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
(2023)
Article
Materials Science, Multidisciplinary
Joshna Palepu, Shweta Patel, Sourabh Sinha, Ranjith Kumar Mallidi, Gannina Venkata Naga Karthik, Budhaditya Majumdar, S. C. Mukhopadhyay, Sayan Kanungo
Summary: This work proposes a Dielectrically Modulated Electron-Hole Bilayer Tunnel Field Effect Transistor (DMEHBTFET) architecture for biosensing applications. The proposed structure incorporates extended source and drain pockets to ensure vertical band-to-band tunneling dominated transduction. The device physics and sensing performance of the proposed DM-EHBTFET have been comprehensively analyzed and compared with other tunneling-based DMTFETs and DMFETs. The results show that the optimized DM-EHBTFET outperforms conventional LT-/VT- DMTFETs and reported DMFETs/DMTFETs in terms of sensitivity improvement.
CURRENT APPLIED PHYSICS
(2023)
Article
Computer Science, Information Systems
Cameron Aume, Shantanu Pal, Alireza Jolfaei, Subhas Mukhopadhyay
Summary: This article presents a concept of streamlining the interaction between humans and mechatronic systems using an EEG BCI system. The authors demonstrate how consumer-grade EEG devices can be effectively used to control mechatronic systems through the implementation of open-source EEG devices and machine learning models.
ACM JOURNAL OF DATA AND INFORMATION QUALITY
(2023)
Article
Telecommunications
Waqas Ahmed Khan Afridi, Subhas Chandra Mukhopadhyay
Summary: This study presents an empirical investigation conducted on a pharmaceutical water treatment plant and proposes potential ICT implications for optimizing the plant's conventional operating procedures and improving production efficiency. The study developed a schematic of the reverse osmosis section and used mathematical modeling and process simulation to investigate key performance parameters. The findings highlight the importance of structured pre-treatment filtering procedures and operational parameters in determining the performance and lifecycle of the treatment unit, as well as their role in increasing plant production and improving equipment efficiency. The study suggests cost-effective ICT implications for plant managers to reduce water and energy consumption.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Editorial Material
Telecommunications
Subhas Mukhopadhyay, Nagender Kumar Suryadevara
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Article
Remote Sensing
Avishkar Seth, Alice James, Endrowednes Kuantama, Subhas Mukhopadhyay, Richard Han
Summary: This research paper proposes a drone delivery system for multi-story apartment buildings with balconies, utilizing Vertical Grid Screening (VGS) methods to identify the specific balcony for delivery. The drone is equipped with a 295 mm frame size, a stereo camera, and a ranging sensor. It uses machine learning for image recognition and achieves a solution for last-mile delivery in urban areas.
Article
Biology
Xifeng Hu, Yankun Cao, Weifeng Hu, Wenzhen Zhang, Jing Li, Chuanyu Wang, Subhas Chandra Mukhopadhyay, Yujun Li, Zhi Liu, Shuo Li
Summary: In this study, the Refined Feature-based Multi-frame and Multi-scale Fusing Gate Network (RMFG_Net) is proposed for accurate segmentation of carotid plaques in ultrasound videos. The method captures spatial and temporal features for high-quality segmentation results and does not require manual annotation of the first frame. Experimental results show that the proposed method outperforms other state-of-the-art methods and achieves a processing speed of 68 frames per second, suitable for real-time segmentation.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Xiaolei Wang, Yuhao Wang, Henry Leung, Subhas Chandra Mukhopadhyay, Yongqiang Cui, Di Bai
Summary: Although conductivity is commonly used for water quality detection of inorganic ions, it may not be effective when multiple ions are present. To tackle this issue, the article proposes a new measurement method using interfacial impedance for ion detection. Through theoretical analysis and comparing different measuring models, a current-controlled method with difference measurement was developed, along with an equivalent circuit. A novel three-electrode sensor was designed and fabricated, and experimental results demonstrated its performance in interfacial impedance measurement and its relationship with conductivity.
IEEE SENSORS JOURNAL
(2023)
Editorial Material
Engineering, Electrical & Electronic
Shahid Mumtaz, Mehmet Yuce, Jun Chen, Subhas Mukhopadhyay, Edward Sazonov, Joel J. P. C. Rodrigues, Chunsheng Zhu, Ikram Ashraf
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Waqas A. K. Afridi, Ignacio Vitoria, Krishanthi Jayasundera, Subhas Chandra Mukhopadhyay, Zhi Liu
Summary: This study develops IoT-enabled smart sensor nodes for real-time water monitoring and visualization. Regression model and correlation analysis reveal strong relationships between soil moisture/temperature and rainfall/environmental temperature.
IEEE SENSORS JOURNAL
(2023)
Article
Automation & Control Systems
A. S. Anil Kumar, Boby George, Subhas Chandra Mukhopadhyay
Summary: This article presents a new thin noncontact angle sensor based on a variable reluctance technique. The sensor consists of a disc-shaped eccentric rotor and a stator with two printed circuit boards with circular coils, which are easily manufactured using cost-effective processes. The inductances of the coils change as the angle changes, and a simple algorithm is used to process the inductance values and obtain the sensing angle. The prototype of the sensor has been built and tested, with a resolution of 0.06 degrees and a worst-case linearity error of 0.7%.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Biomedical
Yuchao He, Xin Wang, Zijian Yang, Lingbin Xue, Yuming Chen, Junyu Ji, Feng Wan, Subhas Chandra Mukhopadhyay, Lina Men, Michael Chi Fai Tong, Guanglin Li, Shixiong Chen
Summary: This paper proposes the EEG-Transformer deep learning model based on the traditional Transformer model, which can be used as an auxiliary tool for clinical diagnosis of ADHD and provides a basic model for transferable learning in the field of EEG signal classification.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Saleem Shahid, Hijab Zahra, Saad Bin Qaisar, Ijaz Haider Naqvi, Syed Muzahir Abbas, Subhas Mukhopadhyay
Summary: This paper presents an experimental characterization of a proposed radio link model for an underground mine sensor network. Power efficiency and range are critical considerations when designing a wireless sensor network for low data rate applications in underground mines. A radio link model was developed and evaluated specifically for 433 MHz DASH7 in underground mines, considering the practical electromagnetic properties of mine walls and the propagation medium. The model utilizes the received signal strength indicator (RSSI) and packet error rate (PER) to measure wave propagation and assess the quality of the radio link, leading to improved performance and reliability in complex mine structures.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Nitish Kumar, Ankur Gupta, Pushpapraj Singh, Subhas Chandra Mukhopadhyay
Summary: This study proposes a NEMS-based piezoresistive pressure sensor using a twin JL-NW GAA FET on a circular diaphragm for highly sensitive measurement. The maximum sensitivity is observed in the subthreshold regime, which is 4 times higher than in the ON-state conditions. However, the sensitivity is reduced by 4.5% and 14.7% in the ON-states and subthreshold regime, respectively, due to a slight mobility reduction caused by temperature increase. Despite this, the environmental temperature does not significantly dominate the sensor's performance, making the JL-NW GAA FET a promising piezoresistive sensor in NEMS.
IEEE SENSORS LETTERS
(2023)
Review
Engineering, Civil
Afshan Ahmed, Muhammad Munwar Iqbal, Sohail Jabbar, Muhammad Ibrar, Aiman Erbad, Houbing Song
Summary: In recent years, significant interest has been shown in vehicular networks to improve road safety through real-time messaging services among vehicles. This work provides a detailed analysis of emergency message dissemination techniques for the Internet of Vehicles (IoV). Position-based data dissemination techniques are explored, which are considered the best routing method due to their independence from predestination entries. This article differs from existing survey papers by examining a brief comparison of beacon-oriented and beacon-less techniques for position-based emergency message routing.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Jia Ke, Ying Wang, Mingyue Fan, Xiaojun Chen, Wenlong Zhang, Jianping Gou
Summary: This study integrates the emotional correlation analysis model and Self-organizing Map (SOM) to construct fine-grained user emotion vector based on review text and perform visual cluster analysis, which helps platform merchants quickly mine user clustering and characteristics.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Shi Qiu, Huping Ye, Xiaohan Liao, Benyue Zhang, Miao Zhang, Zimu Zeng
Summary: This paper proposes a multilevel-based algorithm for hyperspectral image interpretation, which achieves semantic segmentation through multidimensional information fusion, and introduces a context interpretation module to improve detection performance.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jianteng Xu, Qingguo Bai, Zhiwen Li, Lili Zhao
Summary: This study constructs two optimization models for the omnichannel closed-loop supply chain by leveraging the combined power of leader-follower game and mean-variance theories. The focus is on analyzing the performance of manufacturers who distribute products through physical stores. The results show that the risk-averse attitude of the physical store has a positive impact on the overall system profitability, but if the introduced physical store belongs to another firm, total profit experiences a decline.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jiahao Xiong, Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu
Summary: This paper proposes a novel remote photoplethysmography framework, named GraphPhys, which utilizes graph neural network to extract physiological signals and introduces Average Relative GraphConv for the task of remote physiological signal measurement. Experimental results show that the methods based on GraphPhys significantly outperform the original methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Zhiyao Tong, Yiyi Hu, Chi Jiang, Yin Zhang
Summary: The rise of illicit activities involving blockchain digital currencies has become a growing concern. In order to prevent illegal activities, this study combines financial risk control with machine learning to identify and predict the risks of users with poor credit. Experimental results demonstrate high performance in user financial credit analysis.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
