Article
Environmental Sciences
Krishna Kumar Maurya, Anupam Rawat, Rama Shanker
Summary: Health monitoring of structures using smart material techniques is an innovative concept in civil engineering, which utilizes the electro-mechanical impedance technique to investigate damages and improve structural health. This research numerically investigates the dynamic behavior of bacterial concrete and demonstrates its superior resistance to dynamic loading compared to control concrete. These findings highlight the potential of bacterial concrete for enhancing structural durability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Astronomy & Astrophysics
Werner Poetzi, Astrid Veronig, Robert Jarolim, Jenny Marcela Rodriguez Gomez, Tatiana Podlachikova, Dietmar Baumgartner, Heinrich Freislich, Heinz Strutzmann
Summary: The Kanzelhohe Observatory for Solar and Environmental Research (KSO) has been in continuous operation since its establishment in 1943, focusing on regular observation of the Sun and collecting a significant amount of data. This article describes the separate processing steps from data acquisition to high level products, including quality classification, CLV profile construction, and an overview of data products. Access to data products and detailed information about FITS headers, file naming, and data hierarchy is also provided.
Article
Engineering, Geological
Junwen Zhang, Wenbing Fan, Yang Yang, Yang Zhang, Xukai Dong, Yulong Xing, Weigang Zeng, Kailun Fang
Summary: Impact disturbance and bedding angle significantly affect the mechanical response of sandstone under prestressed loading. A combined 1D static and dynamic loading test system is employed to investigate the compression behavior of sandstone at different bedding angles. The results show that strain rebound easily occurs in high-strength sandstone under low impact pressure, and the peak strength of sandstone is positively correlated with the impact pressure. Additionally, the impact pressure influences the crack growth rate of sandstone.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2023)
Article
Engineering, Civil
Yusuf Alhowaidi, Jongwan Eun, Seunghee Kim, Chung R. R. Song, Fouad Jaber
Summary: The construction of integral abutment bridges has increased due to cost reduction, but the elimination of expansion joints has caused complex interactions between the bridge structure and the surrounding soil. This study investigates the behavior of a newly constructed curved integral abutment bridge through field monitoring and numerical simulation. The results show that seasonal temperature fluctuations lead to significant lateral movements and increase in backfill pressures.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Physics, Multidisciplinary
Lu Wang, Peng Wang, Linhai Wu, Lijia Xu, Peng Huang, Zhiliang Kang
Summary: This study proposed a method for automatic reading of pointer instruments by combining Faster-RCNN-based object detection with traditional computer vision, which optimized the quality of the data set and improved the accuracy of target detection. It has practical value in solving the meter reading problems in industrial settings.
Article
Multidisciplinary Sciences
Tarandeep Singh, Aseem Verma, Manjeet Singh, Prabhnaman Kaur
Summary: A multi-sensor-based instrumentation system was evaluated for accurately measuring tractor-implement performance in the field. The system was tested with different implements and compared with conventional measurement techniques. The results showed small disparities for various parameters, indicating the system's real-time measurement capability and its potential as an energy- and time-saving device.
Article
Engineering, Multidisciplinary
Chun-Zheng Zhao, Lu-Sheng Qiang, Rui Zhang, Qian-Cheng Zhang, Jun-Yang Zhong, Zhen-Yu Zhao, Tian Jian Lu
Summary: This study investigated the response of fully-clamped UHMWPE plates to combined blast and fragment impacts through experimental and numerical simulations. The results showed that combined blast and fragment loading led to increased plate deflection. The position of the fragment-foam projectile (FSP) in the foam sabot significantly affected the ballistic resistance of the UHMWPE target, and the target's ballistic resistance was superior when subjected to simultaneous blast loading and fragment impact compared to fragment impact alone.
DEFENCE TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Patricia Arroyo, Jaime Gomez-Suarez, Jose Luis Herrero, Jesus Lozano
Summary: The issue of air pollution and air quality monitoring is a significant problem in society today. This study develops an unmanned aerial vehicle (UAV) equipped with low-cost sensors to monitor air quality in hard-to-access locations, demonstrating its accuracy and robustness.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Biotechnology & Applied Microbiology
Andrea Vernengo, Helen Bumann, Nadine Kluser, Astrid Soubrier, Amra Secerovic, Jan Gewiess, Jan Ulrich Jansen, Cornelia Neidlinger-Wilke, Hans-Joachim Wilke, Sibylle Grad
Summary: Chemonucleolysis is an established method for creating organ culture models of intervertebral disc degeneration. The effects of different enzymes used in chemonucleolysis need to be compared to gain a better understanding of how these models mimic human degeneration. The study induced chemonucleolysis in bovine IVDs and evaluated the cellular, biochemical, and histological properties after 7 days.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Engineering, Geological
Aniruddha Bhaduri, Deepankar Choudhury
Summary: This study presents an analytical solution for flexible combined pile-raft foundation under dynamic loading, validated through dynamic centrifuge test results. The study further investigates the effect of loading frequency on the dynamic displacement response of the foundation, and reveals that increasing raft flexibility significantly reduces the load sharing proportion.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Automation & Control Systems
Luca Consolini, Mattia Laurini, Marco Locatelli
Summary: In a high-speed palletizing machine, multiple robotic manipulators are used to move packages of various sizes to achieve the desired final layout. The selection of insertion sequence and robot manipulations plays a critical role in the throughput of the palletizing process. This research presents a Dynamic Programming-based algorithm and reduction techniques to find the shortest package sequence and corresponding robot manipulations for maximizing production. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Construction & Building Technology
Faham Tahmasebinia, Chengguo Zhang, Chunchen Wei, Ismet Canbulat, Serkan Saydam, Samad Sepasgozar
Summary: The paper introduces a novel numerical procedure to evaluate the behavior of individual support elements and their interactions under dynamic loads. Additionally, a mutual interaction relationship between Cable/Rock Bolt Dissipated Energy and Steel Mesh Dissipated Energy is developed.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2021)
Article
Nuclear Science & Technology
YoungHwa An, Boseong Kim, Haewon Shin, Yeonjung Kim, Changrae Seon, Inwoo Song, MunSeong Cheon
Summary: An I & C system has been developed to facilitate the stable monitoring of impurity species in plasmas, providing both machine protection and plasma control. The system includes automated data acquisition and remote control of VUV spectrometer systems, as well as the implementation of interlocks to protect the main vacuum and the VUV spectrometers.
FUSION ENGINEERING AND DESIGN
(2022)
Article
Engineering, Civil
Weifu Sun, Tingting Zhu, Pengwan Chen, Gaojian Lin
Summary: The dynamic stability of submerged cylindrical shells subjected to underwater explosion was investigated in this work, revealing the effects of initial hydrostatic pressure and fluid-structure interaction. Critical threshold values were obtained through numerical simulations and theoretical modeling, showing that the vibrations are stable below this threshold.
THIN-WALLED STRUCTURES
(2022)
Article
Engineering, Electrical & Electronic
Hatef Dastour, Ebrahim Ghaderpour, Quazi K. Hassan
Summary: Surface water/ice dynamic monitoring is crucial for various purposes and remote sensing satellite data have made it possible to monitor such dynamics. This study proposes a combined approach using Landsat-8 and Sentinel-1 data to create monthly change maps and investigate the separation of water/ice from land. The results show that the indices MNDWI and VH are the most effective for creating the change maps.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Computer Science, Artificial Intelligence
Souvik Das, Ashish Garg, Yash Khorania, J. Maiti
Summary: The study introduces DHZN and CD-DHZN to address information reliability and uncertainty in decision-making processes. Extended Failure Mode and Effect Analysis (E-FMEA) and Extended Bow-Tie (E-BT) are proposed for quantifying and prioritizing risks and events. Experimental investigations confirm the feasibility and effectiveness of the proposed models in prioritizing failure modes and quantifying events.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Information Systems
Chandana Roy, Sudip Misra, Jhareswar Maiti
Summary: This article proposes a dynamic decision caching mechanism (D2C) for providing customized safety-related decisions to end users. The mechanism aims to reduce energy consumption and improve cache hit percentage by caching decision parameters and taking into account the characteristics of energy-constrained sensor nodes.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Ashish Garg, Souvik Das, Jhareswar Maiti, Sankar K. Pal
Summary: In this article, an improved failure mode and effect analysis (FMEA) model is developed by incorporating the concepts of Z-number, rough number (RN), and probabilistic distance measure. The model introduces two new concepts, namely, double upper approximated rough number (DUARN) and granulized Z-number (gZN), and proposes a new scheme for measuring distance between two gZNs. Additionally, a new risk prioritization model, granulized Z-VIKOR, and a scheme for uncertainty assessment using box-plot are proposed. The applicability, effectiveness, and robustness of the proposed model are demonstrated through case studies and comparative analysis, showing its superiority over existing models.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Rakesh Kumar, Arvind Kr Mishra, Ashok Kumar, Arun Kr Singh, Sahendra Ram, Amit Kr Singh, Rajendra Singh
Summary: Efficient underground extraction of thick coal seams requires engineering efforts to be organized based on the rock mechanic conditions of the site, including controlled roof caving and appropriate pillar height selection. Field studies have shown that the presence of competent overlying strata can cause large-scale caving inside the goaf. Fracturing the competent overlying strata can help reduce its strength and achieve controlled strata behavior.
JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
(2022)
Article
Energy & Fuels
Sahendra Ram, Rajendra Singh, Ashok Kumar, Arun Kumar Singh, Rakesh Kumar, A. Ramesh Rao, V. Srinivasa Rao
Summary: This article presents the use of a continuous miner for extracting a thick coal seam at the GDK 11 Incline mine. Through field observations and numerical modeling, the stability of the extraction process is demonstrated, providing a design for the safe and efficient extraction of thick coal seams.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Engineering, Environmental
Krantiraditya Dhalmahapatra, Abhishek Verma, J. Maiti
Summary: In this study, a novel approach was proposed to improve occupational safety by combining virtual reality, safety function deployment, inventive problem solving theory, and capital budgeting. The effectiveness of immersive safety training was observed, and a 3D virtual reality environment was created for the training of electric overhead travelling crane operators. The study established relationships between tasks and hazards, hazards and initiating mechanisms, and initiating mechanism and safety interventions using three "House of Safety" models. Capital budgeting was used to select optimal safety interventions based on priority weights. A 15% improvement in safety performance was observed after the training, and technology-based interventions were found to be more important than traditional interventions.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Automation & Control Systems
Sobhan Sarkar, Anima Pramanik, J. Maiti
Summary: In recent years, machine learning has been increasingly used in occupational accident research, but there are still challenges in dealing with data uncertainty, unstructured information, and lower prediction power. This study proposes a new methodology to address these challenges by using rough set (RS)-based predictive model and Z-number for rule generation. The proposed method is demonstrated to be effective compared to other state-of-the-art algorithms using benchmark datasets and real-life occupational safety data. Results show that the RS sample-based PSO-ANFIS produces the minimum mean absolute error (MAE) in risk prediction and is the most robust algorithm.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Civil
Anima Pramanik, Sankar Kumar Pal, Jhareswar Maiti, Pabitra Mitra
Summary: This study develops a Z-numbers-based video summarization algorithm to address uncertainty issues in traffic videos and improve the accuracy and speed of anomaly detection.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Editorial Material
Engineering, Chemical
Nicola Paltrinieri, Jhareswar Maiti, Elena Stefana, Riccardo Patriarca
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Geological
Ranjan Kumar, Prabhat Kumar Mandal, Nilabjendu Ghosh, Arka Jyoti Das, Gautam Banerjee
Summary: The stability of underground parallelepiped coal pillars in inclined coal seams is crucial for safe mine access. This study identifies geotechnical uncertainties and proposes a probabilistic approach for designing stable pillars. By incorporating the uncertainties in the design parameters, the reliability of the pillars is estimated using the Monte Carlo Simulation method. The results show that accounting for uncertainties leads to more stable pillar designs, reducing failures and enhancing mine safety.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Engineering, Industrial
Abhishek Verma, Krantiraditya Dhalmahapatra, J. Maiti
Summary: The purpose of this study is to investigate the future trend and identify the pattern of contributing factors of incident occurrences in the steel industries. The study uses incident data of 45 months and applies the ARIMA model to forecast incident trends and identify the most incident-prone unit. Text mining-based association mining is also conducted to discover the incident-causing factors. Effective implementation of the study's findings can aid in improving safety performance.
Article
Engineering, Civil
Kumar Gaurav, Ranjan Kumar, Prabhat Kumar Mandal, Arka Jyoti Das
Summary: A novel pyramidal design of a bearing plate is proposed for reinforcing ground in underground mines, which outperforms the conventional dome plate in terms of load resistance, load efficiency, and energy absorption. Experimental and numerical results show that the pyramidal plate has superior capacity compared to the dome plate, making it a promising solution for improved ground control and stability in underground openings.
ENGINEERING STRUCTURES
(2023)
Article
Computer Science, Information Systems
Sudip Misra, Chandana Roy, Thilo Sauter, Anandarup Mukherjee, Jhareswar Maiti
Summary: Industrial Internet of Things (IIoT) aims to achieve higher operational and management efficiencies by bridging machinery, equipment, human resources, and other actors involved in an industrial environment. This survey provides a comprehensive overview of safety issues in industries and analyzes the safety aspects in various application areas of IIoT such as healthcare, transportation, manufacturing, and mining. The research gaps in different domains are examined and future research directions are recommended.
Article
Computer Science, Artificial Intelligence
Anima Pramanik, Sankar K. Pal, J. Maiti, Pabitra Mitra
Summary: This article introduces two new models, G-RCNN and MCD-SORT, for object detection and tracking in videos. G-RCNN improves RoI extraction accuracy and real-time detection speed by incorporating granulation concept and spatio-temporal information; MCD-SORT performs well in multi-class tracking by searching for object-trajectory association only within the same categories.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2022)
Article
Ergonomics
Krantiraditya Dhalmahapatra, Souvik Das, J. Maiti
Summary: This study addresses the inefficiency in real-time visualization and user interaction in traditional accident causation models (ACMs) by proposing a virtual reality-based accident causation model (VR-ACM). The proposed model consists of three modules for VR-based modelling and simulation, accident causation analysis, and safety training. Several research issues for VR-ACM are highlighted, and an experimental study with crane operators demonstrates the applicability of the model. VR-ACM serves as a tool for analyzing potential underlying causes of accidents, offering three-dimensional visual analysis, real-time user interactions, and real-time decision-making.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
