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Industry 4.0 Application in Manufacturing for Real-Time Monitoring and Control

Journal of Dynamics, Monitoring and Diagnostics 2022年第3期1卷 176-187页

作者： Debasish Mishra Ashok Priyadarshi Sarthak M Das Sristi Shree Abhinav Gupta Surjya K Pal Debashish Chakravarty Advanced Technology Development Centre Indian Institute of Technology KharagpurKharagpurWest Bengal 721302India Mathematics and Computing Birla Institute of Technology MesraRanchiJharkhand 835215India Information Technology Birla Institute of Technology MesraRanchiJharkhand 835215India Computer Science and Engineering Birla Institute of Technology MesraRanchiJharkhand 835215India Electronics and Communication Engineering Birla Institute of Technology MesraRanchiJharkhand 835215India Department of Mechanical Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal 721302India Department of Mining Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal 721302India

Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business *** ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing *** article builds upon the Industry 4.0 concept to improve the efficiency of manufacturing *** major contribution is a framework for continuous monitoring and feedback-based control in the friction stir welding(FSW)*** consists of a CNC manufacturing machine,sensors,edge,cloud systems,and deep neural networks,all working cohesively in real *** edge device,located near the FSW machine,consists of a neural network that receives sensory information and predicts weld quality in real *** addresses time-critical manufacturing *** receives the sensory data if weld quality is poor,and a second neural network predicts the new set of welding parameters that are sent as feedback to the welding *** experiments are conducted for training the neural *** framework successfully tracks process quality and improves the welding by controlling it in real *** system enables faster monitoring and control achieved in less than 1 *** framework is validated through several experiments.

关键词： cloud edge deep neural networks friction stir welding Industry 4.0 internet of things machine learning manufacturing process control process monitoring signal processing

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HILS Validation of Integral Super Twisting Sliding Mode Control for Induction Motor Drive with Thermal Model Coupling

HILS Validation of Integral Super Twisting Sliding Mode Cont...

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International Conference on Power Electronics (ICPE)

作者： Hamza AhmadA Irfan Sami Trung-Kien Vu Dong-Hyun Lim Ki-Bum Park Korea Advanced Institute of Science and Technology (KAIST) South Korea Research & Development Department Milim Syscon Co. Ltd. South Korea

The PI control scheme is widely adapted for speed control of induction motor. The major drawback of PI control scheme is lack of robustness to external and internal parameters. This paper proposes a robust control technique for Induction Machines (IM), known as Integral Super Twisting Sliding Mode Control (ISTSMC), which combines the advantages of Super Twisting Sliding Mode Control (STSMC) and Integral Sliding Mode Control (ISMC) to eliminate chattering and improve the robustness and convergence of IM torque and speed. The power losses thermal stresses of semiconductor junctions are also evaluated in the IM drive plant model, where the thermal model of switching elements is incorporated. The control algorithm is tested in real-time using a high-fidelity hardware-in-the-loop (HIL) simulator comprising of Typhoon-HIL 604 and Imperix B-Box RCP 3.0 , which accounts for communication delays and allows for wide test coverage. The proposed ISTSMC controller is built in a rapid-control prototyping device and is interfaced with the HIL. The results shows that the ISTSMC increases the robustness of the system without adding further losses or thermal stress to the system and thus demonstrate the reliability of the control algorithm during full system operation.

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Impact of Positive Selection technology on Seed Yam Productivity

SSRN

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SSRN 2023年

作者： Osei-Adu, Jonas Aidoo, Robert Fialor, Simon Cudjoe Ennin, Stella Ama Osei, Kingsley Asante, Bright Owusu Danso, Gideon Abbeam Box 3785 Kumasi Ghana Kwame Nkrumah University of Science and Technology Department of Agricultural Economics Agribusiness and Extension Zambia University of Development Studies Ghana

Empirical evidence on the impact of Positive Selection (PS) technology on seed yam farm productivity is virtually non-existent despite some publications on its ability to mitigate virus infection and improve yields. Through a multi-stage sampling of 368 seed yam farmers across Ghana and Nigeria, this study demonstrates a positive significant impact of the technology on farm productivity. The Average Treatment effect on the Treated (ATT) is 5.38 t/ha which is significantly different from 4.60 t/ha farmers who used only improved agronomic practices without PS. The use of PS technology therefore leads to 16.98% increase in farm productivity for seed yam farmers. Sex, education, household size, distance from the farm to the nearest market and type of cropping systems are the significant determinants of the level of impact. © 2023, The Authors. All rights reserved.

关键词： Seed

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Evaluation of Electrical Conduction Property at Conductive Shield Layer to Improve Performance of Magnetically Shielded Rooms

Evaluation of Electrical Conduction Property at Conductive S...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Shunya Odawara Mitsuru Sakakibara Keisuke Yoshimura Yuji Gotoh Department of Research and Development Ohtama CO. LTD Tokyo Japan Department of Innovative Engineering Faculty of Science and Technology Oita University Oita Japan

ISBN: (数字)9798350338362

ISBN: (纸本)9798350338379

To improve a performance of conductive shield, which is constructed in magnetically shielded rooms (MSRs) with high shielding performance, we introduce an evaluation method for electrical conduction property at joint part of conductive plates (e.g., Cu, Al). Some actual resistance sensors are developed via numerical analysis to evaluate the conduction property. We measure the resistance value at joint part of a simple conductive-shield box and its shielding performance on high frequency magnetic noise, and the results reveal that they have a correlation.

关键词： Resistance Numerical analysis Magnetic sensors Magnetic noise Frequency measurement Noise measurement High frequency

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Quality aspects of paddy grain and seed dried in HSTU mobile grain and seed dryer integrated with a dual heating system

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Heliyon 2024年第23期10卷 e40835页

作者： Alam, Md Shahriar Wazed, Md Abdul Hasan, S.M. Kamrul Ahmed, Maruf Alam, Md Sultanul Hossain Sarker, Md Sazzat Department of Food Engineering and Technology Hajee Mohammad Danesh Science and Technology University Dinajpur 5200 Bangladesh Department of Food Technology Dhaka Polytechnic Institute Dhaka Bangladesh Department of Food Processing and Preservation Hajee Mohammad Danesh Science and Technology University Dinajpur 5200 Bangladesh Bangladesh Agricultural Development Corporation Ministry of Agriculture Bangladesh

Proper drying and excellence of dried grain and seed are the key concerns of millers, farmers and seed growers. The performance of a new Hajee Mohammad Danesh science and technology University (HSTU) mobile grain and seed dryer (HMD) integrated with dual heating system was assessed regarding the quality of dried seed and grain. The HMD was found to be capable of drying 720 ± 10 kg paddy in a batch and drying period varied between 7 and 8 h at drying air temperatures of 65 °C. Paddy seeds of BRRI Dhan 49 and BRRI Dhan 89 were dried at 40 °C and the drying time required 9–10 h and 14–16 h in Aman and Boro season, respectively. Head rice yield and milling recovery varied from 59.50 ± 0.16 % to 61.61 ± 0.54 % and 74.95 ± 0.09 % to 75.70 ± 0.59 % for paddy dried in HMD. In addition, higher germination percentage (GP) of BRRI Dhan 49 varieties was found in Aman season that ranged from 86 % to 88 % which was dried in HMD in contrary to GP of paddy seeds dried under the sun. Moreover, higher GP was found from BRRI Dhan 89 varieties dried by HMD in Boro season. Also, the vigor index of HMD dried paddy seeds was more than the sun dried samples in both seasons. In conclusion, HMD integrated with a dual heating system is recommended for using at farm level as an alternative drying process for rapid and efficient handling of high-moisture grain and seed in Bangladesh and other subtropical nations in adverse climate. © 2024

关键词： Drying Germination HSTU mobile dryer Milling quality

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Fabrication of cost-effective antifouling sensors with conjugation of hyaluronic acid and phase-transited BSA for the rapid detection of gentamicin

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Talanta 2025年 295卷 128308页

作者： Xia, Yinqiang Zhao, Jin Gao, Zheying Ruan, Yifei Wang, Siqi Hu, Liangbin Yue, Tianli College of Food Science and Engineering Northwest A&F University Yangling 712100 China Tianjin Binhai New Area Agricultural and Rural Development Service Center Tianjin300000 China College of Food Science and Engineering Shaanxi University of Science and Technology Xi'an712099 China College of Food Science and Engineering Northwest University Xi'an710069 China

Matrix interference poses persistent and significant challenges against rapidly detecting gentamicin residue in foods. Here, we fabricated synergistic antifouling surfaces using the phase transition of bovine serum albumin (PTB) and hyaluronic acid (HA) on substrates. The hybrid PTB + HA coatings showed ultralow adsorption of BSA and lysozyme, requiring 10 times less PTB dosage. With PTB's assistance, the modification of HA proved to be much more cost-effective than the sulfhydrated HA. The adsorption of E. coli on the hybrid coatings could be reduced by 92.6 %, illustrating good properties of antibacterial adsorption. Furthermore, the hybrid surfaces demonstrated good stability despite being rinsed with strong acid and alkaline solutions. Based on the immune-inhibition assay, the sensitive antifouling sensors were developed with a low detection limit (1.8 ng/mL for gentamicin) and satisfactory recovery rate (94.0 %–104.0 %) in goat milk. All tests could be completed within 10 min, confirming the sensor system's feasibility and efficiency. © 2025 Elsevier B.V.

关键词： Body fluids

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Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification

arXiv

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arXiv 2023年

作者： Yang, Guang Jin, Tiancheng Dou, Liang School of Computer Science and Technology East China Normal University Shanghai China NPPA Key Laboratory of Publishing Integration Development ECNUP Shanghai China

Code classification is a difficult issue in program understanding and automatic coding. Due to the elusive syntax and complicated semantics in programs, most existing studies use techniques based on abstract syntax tree (AST) and graph neural network (GNN) to create code representations for code classification. These techniques utilize the structure and semantic information of the code, but they only take into account pairwise associations and neglect the high-order correlations that already exist between nodes in the AST, which may result in the loss of code structural information. On the other hand, while a general hypergraph can encode high-order data correlations, it is homogeneous and undirected which will result in a lack of semantic and structural information such as node types, edge types, and directions between child nodes and parent nodes when modeling AST. In this study, we propose to represent AST as a heterogeneous directed hypergraph (HDHG) and process the graph by heterogeneous directed hypergraph neural network (HDHGN) for code classification. Our method improves code understanding and can represent high-order data correlations beyond paired interactions. We assess heterogeneous directed hypergraph neural network (HDHGN) on public datasets of Python and Java programs. Our method outperforms previous AST-based and GNN-based methods, which demonstrates the capability of our model. Copyright © 2023, The Authors. All rights reserved.

关键词： Semantics

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DualSpec: Text-to-spatial-audio Generation via Dual-Spectrogram Guided Diffusion Model

arXiv

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arXiv 2025年

作者： Zhao, Lei Chen, Sizhou Feng, Linfeng Zhang, Xiao-Lei Li, Xuelong School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China China Telecom China Research and Development Institute of Northwestern Polytechnical University Shenzhen China College of Artificial Intelligence Chengdu University of Information Technology Sichuan Chengdu610225 China

Text-to-audio (TTA), which generates audio signals from textual descriptions, has received huge attention in recent years. However, recent works focused on text to monaural audio only. As we know, spatial audio provides more immersive auditory experience than monaural audio, e.g. in virtual reality. To address this issue, we propose a text-to-spatial-audio (TTSA) generation framework named ***, it first trains variational autoencoders (VAEs) for extracting the latent acoustic representations from sound event audio. Then, given text that describes sound events and event directions, the proposed method uses the encoder of a pretrained large language model to transform the text into text features. Finally, it trains a diffusion model from the latent acoustic representations and text features for the spatial audio generation. In the inference stage, only the text description is needed to generate spatial audio. Particularly, to improve the synthesis quality and azimuth accuracy of the spatial sound events simultaneously, we propose to use two kinds of acoustic features. One is the Mel spectrograms which is good for improving the synthesis quality, and the other is the short-time Fourier transform spectrograms which is good at improving the azimuth accuracy. We provide a pipeline of constructing spatial audio dataset with text prompts, for the training of the VAEs and diffusion model. We also introduce new spatial-aware evaluation metrics to quantify the azimuth errors of the generated spatial audio recordings. Experimental results demonstrate that the proposed method can generate spatial audio with high directional and event consistency. Copyright © 2025, The Authors. All rights reserved.

关键词： Spectrographs

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COMPOSITE MATERIAL WITH ANTIMICROBIAL EFFECT FOR THE PRESERVATION OF WATERLOGGED WOOD CULTURAL HERITAGE OBJECTS

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UPB Scientific Bulletin, Series B: Chemistry and Materials science 2024年第4期86卷 53-68页

作者： Fistos, Toma Dolana, Sorin-Viorel Matei, Roxana Ioana Fierascu, Irina Raduly, Florentina Monica Nicolae, Cristian-Andi Iordache, Tanta-Verona Ficai, Anton Fierascu, Radu Claudiu Faculty of Chemical Engineering and Biotechnology National University of Science and Technology POLITEHNICA Bucharest National Institute for Research and Development in Chemistry and Petrochemistry – ICECHIM Bucharest Romania Faculty of Chemical Engineering and Biotechnology National University of Science and Technology POLITEHNICA Bucharest INCDCP – ICECHIM Bucharest Romania INCDCP – ICECHIM Bucharest Faculty of Horticulture University of Agronomic Sciences and Veterinary Medicine of Bucharest Romania INCDCP – ICECHIM Bucharest Romania Faculty of Chemical Engineering and Biotechnologies Department of Science and Engineering of Oxide Materials and Nanomaterials National University of Science and Technology POLITEHNICA Bucharest Romania INCDCP – ICECHIM Bucharest Faculty of Chemical Engineering and Biotechnology National University of Science and Technology POLITEHNICA Bucharest Romania

The underwater cultural heritage represents an important component of the cultural heritage which does not represent a preferred research topic due to the degree of difficulty posed by the objects that constitute it (furniture, ships). To solve this problem, we propose the synthesis of a nanocomposite material to treat waterlogged wood. This material is composed of an apatitic material (with antimicrobial role) and a polymeric compound (with filling role and designed to improve the mechanical properties). The composite was characterized morpho-structurally and successfully applied to the most common types of wood (ash, pine, oak, fir). © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Wood preservation

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Research on Vehicle Parking Position Detection Based on Swin Transformer Semantic Segmentation

Research on Vehicle Parking Position Detection Based on Swin...

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International Conference on Systems and Informatics (ICSAI)

作者： Hong-Tu Shi Jian-Zhang Liu Ruo-Xuan Wang Yan-Xin Huo Chao-Wei Cui Yong-Qiang Zhang Research and Development Department Beijing RTlink Technology Co. Ltd Beijing China School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang China

ISBN: (纸本)9781665474498

Determine whether the vehicle is parked in the specified area, which has high application value in industry, transportation, parking lot, etc. Aiming at the problems of rough results and high maintenance costs, a vehicle parking position detection method based on Swing Transformer semantic segmentation is proposed. The vehicle semantic results obtained by Swin Transformer semantic segmentation algorithm are taken as the main features of vehicles in the picture. Canny algorithm is used to obtain vehicle contour to improve detection accuracy. Calculate the relationship between the vehicle contour and the hand drawn warning line, and compare with the threshold value to determine whether the vehicle is parked in the specified area. Through simulation, industrial application and road application, the method can realize the normative detection of vehicle parking position.

关键词： Industries Costs Semantic segmentation Roads Image edge detection Semantics Transportation

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