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Development and Overview of Space Docking Mechanism 空间对接机制的发展和概述
Q3 Engineering Pub Date : 2024-01-29 DOI: 10.2174/0118722121281570240122065836
Yuan Zhang, Ziqi Liu, Yibing Wang
This paper provides an overview of representative patents related to space docking mechanismsin terms of structural and functional optimization. The working principle and characteristicsare explained. By comparing different types of space docking mechanisms, we summarized the mainproblems of the current space docking mechanism and proposed some improvements. They includeelectromagnetic docking, modularization and standardization, together with the use of advanceddesign optimization algorithms and intelligent drive technology.
本文从结构和功能优化的角度概述了与空间对接机制有关的代表性专利。阐述了其工作原理和特点。通过比较不同类型的空间对接机构,总结了当前空间对接机构存在的主要问题,并提出了一些改进建议。这些改进包括电磁对接、模块化和标准化,以及采用先进的设计优化算法和智能驱动技术。
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引用次数: 0
Computing Task Offloading in Vehicular Edge Network via Deep Reinforcement Learning 通过深度强化学习计算车载边缘网络中的任务卸载
Q3 Engineering Pub Date : 2024-01-16 DOI: 10.2174/0118722121283037231231064521
Beibei He, Shengchao Su, Yiwang Wang
In recent years, with the development of the Internet of Vehicles, a varietyof novel in-vehicle application devices have surfaced, exhibiting increasingly stringent requirementsfor time delay. Vehicular edge networks (VEN) can fully use network edge devices, such as roadsideunits (RSUs), for collaborative processing, which can effectively reduce latency.In recent years, with the development of the field of internet of vehicles, a variety of novel in-vehicle application devices have surfaced, exhibiting increasingly stringent requirements for time delay. Vehicular edge network (VEN) can make full use of network edge devices, such as road side unit (RSU) for collaborative processing, which can effectively reduce the latency.Most extant studies, including patents, assume that RSU has sufficient computing resourcesto provide unlimited services. But in fact, its computing resources will be limited with theincrease in processing tasks, which will restrict the delay-sensitive vehicular applications. To solvethis problem, a vehicle-to-vehicle computing task offloading method based on deep reinforcementlearning is proposed in this paper, which fully considers the remaining available computational resourcesof neighboring vehicles to minimize the total task processing latency and enhance the offloadingsuccess rate.A vehicle-to-vehicle computing task offloading method based on deep reinforce-ment learning is proposed in this paper, which fully considers the remaining available computa-tional resources of neighboring vehicles with the objective of minimizing the total task processing latency and enhancing the offloading success rate.In the multi-service vehicle scenario, the analytic hierarchy process (AHP) was first usedto prioritize the computing tasks of user vehicles. Next, an improved sequence-to-sequence(Seq2Seq) computing task scheduling model combined with an attention mechanism was designed,and the model was trained by an actor-critic (AC) reinforcement learning algorithm with the optimizationgoal of reducing the processing delay of computing tasks and improving the success rate ofoffloading. A task offloading strategy optimization model based on AHP-AC was obtained on thisbasis.The average latency and execution success rate are used as performance metrics to comparethe proposed method with three other task offloading methods: only-local processing, greedy strategy-based algorithm, and random algorithm. In addition, experimental validation in terms of CPUfrequency and the number of SVs is carried out to demonstrate the excellent generalization ability ofthe proposed method.The average latency and execution success rate are used as performance metrics to compare the proposed method with three other task offloading methods: only-local processing, greedy strate-gy-based algorithm and random algorithm. In addition, experimental validation in terms of both CPU frequency and the number of SVs is carried out to d
近年来,随着车联网的发展,各种新型车载应用设备不断涌现,对时延的要求也越来越严格。近年来,随着车联网领域的发展,各种新型车载应用设备不断涌现,对时延的要求也越来越严格,车载边缘网络(VEN)可以充分利用网络边缘设备(如路边单元(RSU))进行协同处理,从而有效降低时延。车载边缘网络(VEN)可以充分利用网络边缘设备,如路边装置(RSU)进行协同处理,从而有效降低延迟。但事实上,随着处理任务的增加,RSU 的计算资源将受到限制,这将制约对延迟敏感的车辆应用。为解决这一问题,本文提出了一种基于深度强化学习的车对车计算任务卸载方法,该方法充分考虑了相邻车辆的剩余可用计算资源,最大限度地减少了总任务处理延迟,提高了卸载成功率。本文提出了一种基于深度强化学习的车对车计算任务卸载方法,该方法充分考虑了相邻车辆的剩余可用计算资源,以最小化总任务处理延迟和提高卸载成功率为目标。在多服务车辆场景中,首先使用层次分析法(AHP)对用户车辆的计算任务进行优先排序。在多服务车辆场景中,首先使用分析层次过程(AHP)对用户车辆的计算任务进行优先级排序,然后设计了一个改进的序列到序列(Seq2Seq)计算任务调度模型,并将其与注意力机制相结合,通过行为批判(AC)强化学习算法对模型进行训练,以减少计算任务的处理延迟和提高卸载成功率为优化目标。在此基础上得到了基于 AHP-AC 的任务卸载策略优化模型,并以平均延迟和执行成功率作为性能指标,将所提出的方法与其他三种任务卸载方法(仅本地处理、基于贪婪策略的算法和随机算法)进行了比较。平均延迟和执行成功率作为性能指标,用于比较拟议方法与其他三种任务卸载方法:仅本地处理、基于贪婪策略的算法和随机算法。仿真结果表明,该方法在减少任务处理延迟和提高任务卸载成功率方面优于其他方法,解决了计算资源不足导致的延迟敏感任务执行受限的问题。
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引用次数: 0
Research Progress on Superhydrophobic Surface Preparation Methods and Mechanical Durability 超疏水表面制备方法和机械耐久性的研究进展
Q3 Engineering Pub Date : 2024-01-15 DOI: 10.2174/0118722121273412231220113727
Meng Xun, Zhaolong Li
Superhydrophobic surfaces have great application prospects due to their unique surface-wetting characteristics. However, superhydrophobic surfaces' micro-nano binary rough structureand low surface energy components are easily damaged or lost by wear and grease, which affectstheir durability and limits their practical application, so it is of great significance to study thedurability of superhydrophobic surfaces. The review first introduces the preparation methods andapplication fields of superhydrophobic surfaces, then sorts out the test methods for the durabilityperformance of superhydrophobic surfaces, methods to improve the durability of superhydrophobicsurfaces are summarized, and finally points out some problems in the current research on thedurability of superhydrophobic surfaces, aiming to have a comprehensive understanding of the researchprogress of durable superhydrophobic surfaces, provide some theoretical guidance for thedevelopment of durable superhydrophobic surfaces, and look forward to the development directionand trend of durable superhydrophobic surface research in the future.There have been substantial improvements achieved in the preparation techniques to increase themechanical durability of superhydrophobic surfaces and widen their applications.This review examines pertinent patents and articles on the fabrication of superhydrophobic surfacesfrom both domestic and foreign sources.The paper introduces the fundamental preparation methods for superhydrophobic surfaces and examinesthree common techniques: the template method, the spraying method, and the etchingmethod. Additionally, the study discusses these preparation methods and presents future developmenttrends based on the latest research findings. Aiming at the mechanical durability of superhydrophobicsurfaces, the test methods for the durability performance of superhydrophobic surfacesunder mechanical action are reviewed. The paper also suggests four key methods for enhancingthe durability of superhydrophobic surfaces.The refinement of superhydrophobic surface preparation techniques plays a crucial role in enhancingdurability and broadening the applications of these surfaces. Additionally, it holds the potentialto unlock new possibilities across various domains. The future holds promising prospects forthe invention of additional patents and papers focused on superhydrophobic surfaces.
超疏水表面因其独特的表面润湿特性而具有广阔的应用前景。然而,超疏水表面的微纳米二元粗糙结构和低表面能成分容易受到磨损和油脂的破坏或损失,影响了其耐久性,限制了其实际应用,因此研究超疏水表面的耐久性具有重要意义。综述首先介绍了超疏水表面的制备方法和应用领域,然后梳理了超疏水表面耐久性能的测试方法,总结了提高超疏水表面耐久性的方法,最后指出了目前超疏水表面耐久性研究中存在的一些问题、旨在全面了解耐久性超疏水表面的研究进展,为耐久性超疏水表面的发展提供一定的理论指导,并展望未来耐久性超疏水表面研究的发展方向和趋势。本文综述了国内外有关超疏水表面制备的相关专利和文章,介绍了超疏水表面的基本制备方法,并研究了三种常用技术:模板法、喷涂法和蚀刻法。此外,该研究还讨论了这些制备方法,并根据最新研究成果介绍了未来的发展趋势。针对超疏水表面的机械耐久性,综述了超疏水表面在机械作用下耐久性能的测试方法。超疏水表面制备技术的完善对提高超疏水表面的耐久性和拓宽其应用领域起着至关重要的作用。此外,超疏水表面制备技术的完善还可能为各个领域带来新的可能性。未来,将有更多关于超疏水表面的专利和论文问世。
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引用次数: 0
Recent Patents on Artificial Muscle Actuators 人工肌肉致动器的最新专利
Q3 Engineering Pub Date : 2024-01-12 DOI: 10.2174/0118722121281062231220044142
Chenhao Xu, Baocheng Xie
With the development of automation technology, various actuators arewidely used in fields such as robotics and biomedical equipment. However, traditional mechanicalactuators have some problems, such as poor movement flexibility and insufficient movement flexibility, because of the characteristics of the mechanical structure. As a new driving mode, artificialmuscle actuators can provide enough power and speed while remaining light and flexible, makingthem highly adaptable in various applications. As a result, artificial muscle actuators are gainingincreasing attention.The purpose of this study is to give an overview of the patents related to artificial muscle actuators and introduce their principles, classifications, latest progress, and future development.This paper reviews the current representative patents related to artificial muscle actuators, such as fluid pressure artificial muscle actuators, thermal deformation artificial muscle actuators, and electrical deformation artificial muscle actuators.The optimization of artificial muscle actuators is beneficial to make the output of artificial mechanical devices more stable and more convenient for human-machine combinations.More related patents will be invented in the future.
随着自动化技术的发展,各种执行器被广泛应用于机器人和生物医学设备等领域。然而,由于机械结构的特点,传统的机械致动器存在运动灵活性差、运动柔性不足等问题。人工肌肉致动器作为一种新的驱动方式,既能提供足够的动力和速度,又能保持轻便和灵活,具有很强的应用适应性。本研究旨在概述人工肌肉驱动器的相关专利,并介绍其原理、分类、最新进展和未来发展。本文综述了目前具有代表性的人工肌肉执行器相关专利,如流体压力人工肌肉执行器、热变形人工肌肉执行器和电变形人工肌肉执行器等。人工肌肉执行器的优化有利于使人工机械装置的输出更稳定、人机结合更方便,未来还将发明更多相关专利。
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引用次数: 0
An Intelligent Medical Q&A System Based on Natural Language Processing 基于自然语言处理的智能医疗问答系统
Q3 Engineering Pub Date : 2024-01-11 DOI: 10.2174/0118722121274858240102060107
Tongke Fan
To improve the accuracy of Chinese word splitting.With the development of Internet technology, people want to get some effective medicalinformation from the Internet, but there are still technical difficulties for non-specialists. At thesame time, the level of medical construction can not keep up with the demand of patients for medicaltreatment, the phenomenon of doctor-patient conflicts has not been fundamentally solved, and theproblem of difficult consultation prevails. With the arrival of the era of big data and artificial intelligence,medical Q&A has been applied.In order to meet the user's need to get the correct answer as soon as possible, medicalQ&A needs to have high execution efficiency. The accuracy of Chinese participle directly affects theexecution efficiency of Q&A. Improving the accuracy of Chinese participle can fundamentally improvethe accuracy of medical Q&A and shorten the answering time.Improvement of the Chinese Segmentation Algorithm based on BI-LSTM-CRF using naturallanguage processing technology. Based on the same medical Q&A dataset, the medical Q&A istrained and tested under three commonly used segmentation algorithms and the segmentation algorithmdesigned in this paper.The experiments show that the Chinese Segmentation Algorithm studied in this paper improvesthe accuracy of medical Q&A and can improve the execution efficiency of medical Q&A.Based on the calculation and matching process of the same similar answers, differentword-splitting methods directly affect the effect of medical Q&A in the later stage. The better theeffect of segmentation, the higher the accuracy of the correct answers in medical Q&A. The improvedLSTM-CRF split word accuracy designed in this paper achieves a good split word effect inthe training process. Compared with the HMM segmentation algorithm, which has the best segmentationperformance among the other three algorithms, the segmentation accuracy is improved, andthe accuracy of the Q&A that delivers the correct answers is relatively high. Despite the improvedaccuracy in segmenting the medical dataset, the time complexity did not decrease much. The LSTMCRFcombined network segmentation algorithm designed in this paper performs better in medicalQ&A compared to other commonly used segmentation algorithms in terms of subject operating characteristicsand larger regions surrounded by coordinate axes.
随着互联网技术的发展,人们希望从互联网上获得一些有效的医疗信息,但对于非专业人士来说,仍然存在技术上的困难。同时,医疗建设水平跟不上患者的就医需求,医患矛盾现象没有得到根本解决,看病难问题普遍存在。随着大数据和人工智能时代的到来,医疗问答得到了应用。为了满足用户尽快得到正确答案的需求,医疗问答需要有较高的执行效率。中文分词的准确性直接影响问答的执行效率。利用自然语言处理技术改进基于 BI-LSTM-CRF 的中文分词算法。基于相同的医学问答数据集,在三种常用的分词算法和本文设计的分词算法下对医学问答进行了训练和测试,实验结果表明,本文研究的中文分词算法提高了医学问答的准确率,并能提高医学问答的执行效率。基于同类答案的计算和匹配过程,不同的分词方法直接影响医学问答的后期效果。分词效果越好,医学问答中正确答案的准确率就越高。本文设计的改进型LSTM-CRF分词准确率在训练过程中取得了良好的分词效果。与其他三种算法中分词效果最好的 HMM 分词算法相比,分词准确率有所提高,提供正确答案的问答准确率也相对较高。尽管医疗数据集的分割精度有所提高,但时间复杂度并没有降低多少。与其他常用的分割算法相比,本文设计的 LSTMCRF 组合网络分割算法在医学问答中的表现更好,在主体操作特征和坐标轴包围的较大区域方面表现更好。
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引用次数: 0
Analysis and Design of CUK-SEPIC-based Converter for Hybrid Power Generation Systems 基于 CUK-SEPIC 的混合发电系统转换器的分析与设计
Q3 Engineering Pub Date : 2024-01-11 DOI: 10.2174/0118722121254681231208031536
Vineeth Kumar P.K, Jijesh J.J
The increasing demand for electricity, coupled with an imbalanced supplyand demand, population growth, and climate change, has prompted the shift from conventional tonon-conventional energy systems. However, the unreliability and intermittency of the latter pose achallenge to their feasibility. To address this challenge, a proposal has been made to explore thecombination of two renewable energy sources (RES) using a unique DC-DC converter topology,with the aim of meeting the load demand in a sustainable and efficient manner.The focus of this research was to explore solutions for the challenges associated with operatingRES independently, including issues with intermittency, weather dependence, and meeting loaddemands. The proposed hybrid system features exclusively RES, offering a promising approach to reducingcarbon footprint. Ultimately, we aimed to develop a CUK-SEPIC-based converter that can effectivelyintegrate two independent RES to satisfy the load demand of a standalone application.Effective hybrid power generation through RES is a complex challenge, but it has been foundthat combining solar and biomass energy sources is one of the best options for achieving this goal. Totap into these sources, it is essential to have a suitable power electronic converter, and the CUK-SEPICconverter has been chosen for its many benefits. The features of this converter have been described indetail. The integration of solar and biomass energy sources is achieved using this converter, which hasbeen designed and mathematically modeled in the MATLAB/Simulink environment to ensure optimalperformance. To validate the effectiveness of the proposed converter, a comparison with existing powerelectronic converters has been done using the MATLAB/Simulink platform.The hybrid power generation system model has been comprehensively developed in this workusing the sophisticated MATLAB/Simulink environment. The input and output parameters have beendiligently estimated through an extensive simulation process. The research has yielded valuable insights,indicating that the CUK-SEPIC converter exhibits an impressive power conversion efficiency of96.57%, along with an overall step-up ratio of 5.25 and significantly reduced ripple content.Upon conducting a comprehensive analysis of the CUK-SEPIC DC-DC converter, ithas been observed that the proposed system exhibits significant promise in rectifying the reliabilityissues commonly associated with renewable energy power generation. Therefore, it is recommendedthat this system be considered for implementation in rural electrification initiatives. Furthermore, it isworth noting that this system represents one of the most recent developments in the field of renewableenergy power generation technology.
日益增长的电力需求,加上供需不平衡、人口增长和气候变化,促使人们从传统能源系统向非传统能源系统转变。然而,后者的不稳定性和间歇性对其可行性构成了挑战。为了应对这一挑战,有人提议利用独特的直流-直流转换器拓扑结构探索两种可再生能源(RES)的组合,目的是以可持续和高效的方式满足负载需求。这项研究的重点是探索与独立运行 RES 相关的挑战的解决方案,包括间歇性、天气依赖性和满足负载需求等问题。拟议的混合系统完全采用可再生能源,为减少碳足迹提供了一种可行的方法。最终,我们的目标是开发一种基于 CUK-SEPIC 的转换器,它可以有效地集成两种独立的可再生能源,以满足独立应用的负载需求。通过可再生能源进行有效的混合发电是一项复杂的挑战,但人们发现,结合太阳能和生物质能源是实现这一目标的最佳选择之一。将太阳能和生物质能源结合起来是实现这一目标的最佳选择之一。要利用这些能源,必须有一个合适的电力电子转换器,而 CUK-SEPIC 转换器因其诸多优点而被选中。我们将详细介绍这种转换器的特点。该转换器在 MATLAB/Simulink 环境中进行了设计和数学建模,以确保最佳性能。为了验证所提出的转换器的有效性,我们使用 MATLAB/Simulink 平台与现有的电力电子转换器进行了比较。通过大量的仿真过程,对输入和输出参数进行了认真估算。在对 CUK-SEPIC DC-DC 转换器进行全面分析后发现,该系统在解决可再生能源发电常见的可靠性问题方面大有可为。因此,建议考虑在农村电气化计划中采用该系统。此外,值得注意的是,该系统是可再生能源发电技术领域的最新发展之一。
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引用次数: 0
Literature Review on IoT-based Smart Retailing Management Systems in the Context of Smart Cart 智能购物车背景下基于物联网的智能零售管理系统文献综述
Q3 Engineering Pub Date : 2024-01-09 DOI: 10.2174/0118722121278763231211045907
Paras Gupta, Gourav Verma, Aakash Chauhan, Neha Singh, Meghna Pandey, K. Kukreti, Alankrita Joshi
IoT technology has revolutionized retail, giving rise to Smart Retailing ManagementSystems (SRMS). This review explores IoT-based SRMS focusing on smart carts, investigatingenhancements in shopping experiences like RFID tags, dynamic inventory management, and personalization.By comparing research and products, it evaluates SRMS in technology, cost, reliability,security, power use, and components. The goal is to unveil SRMS’s strengths and weaknesses,aiding retail progress.This study aimed to review IoT-based Smart Retailing Management Systems (SRMS)centered on smart carts, explore IoT's role in enhancing shopping, spotlighting RFID tags, dynamicinventory, and personalization, and evaluate SRMS via tech, cost, reliability, security, power,and components, unveiling diverse strengths and weaknesses.A literature search in previous works and patents was conducted. The findings to pinpointtrends, tech shifts, and research gaps were analyzed. The real-world studies were synthesizedto discuss IoT-based SRMS progress and an inclusive view of various approaches and outcomeswas offered.IoT-based SRMS, especially in smart retail carts, elevate shopping via RFID tags,dynamic inventory, and personalization. The comparative analysis exposes SRMS potential andconstraints, offering insights for informed retail decisions and advancement.
物联网技术彻底改变了零售业,催生了智能零售管理系统(SRMS)。本综述以智能购物车为重点,探讨了基于物联网的智能零售管理系统,研究了射频识别(RFID)标签、动态库存管理和个性化等购物体验的提升。通过比较研究和产品,本综述从技术、成本、可靠性、安全性、用电量和组件等方面对智能零售管理系统进行了评估。本研究旨在回顾以智能购物车为中心的基于物联网的智能零售管理系统(SRMS),探讨物联网在提升购物体验方面的作用,重点关注 RFID 标签、动态库存和个性化,并从技术、成本、可靠性、安全性、功耗和组件等方面对 SRMS 进行评估,揭示其不同的优缺点。对以前的著作和专利进行了文献检索,分析了发现的趋势、技术转变和研究差距。基于物联网的 SRMS,尤其是智能零售车,通过 RFID 标签、动态库存和个性化提升了购物体验。对比分析揭示了 SRMS 的潜力和制约因素,为明智的零售决策和发展提供了深刻见解。
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引用次数: 0
Patent Selections 专利选择
Q3 Engineering Pub Date : 2024-01-01 DOI: 10.2174/187221211801230907093418
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引用次数: 0
Analysis of Ionic Conductivity of PVA/PSSA by Using Percolation Theory 利用渗流理论分析 PVA/PSSA 的离子电导率
Q3 Engineering Pub Date : 2023-12-19 DOI: 10.2174/0118722121259450231206105230
Poonam Raturi, D. Panwar
Development of ionic membranes by using generic polymers polyvinylalcohol (PVA) and Polystyrene sulfonic acid (PSSA), which have been implemented as sensingdevices. Our health is directly influenced by wearable sensors therefore, we need to enhance itsquality. Wearable sensors depend on the sensitivity of the material as well as the phase transitionof ions.The phase transition of ion/charge is analyzed through percolation theory, which is basedon the probability model. Percolation displays what are referred to as crucial phenomena.This typically indicates that the model contains a natural parameter at which the system'sbehaviour substantially alters. The PVA/PSSA(S2) membrane of 25% composition reveals theminimum percolation threshold of 0.20. Sample S1(10%), S2(25%), and S3(45%) possess phasetransitions of 0.525,0.225, and 0.0343, respectively. The robustness of the phase transitions andthe sensitivity were examined using the percolation theory. Out of five samples, the three sampleshave more feasible coordinates for building wearable sensors, which are sample S1(10%),S2(25%), and S3(45%).The analysis of the pure PSSA polymer research is expected to be done in the upcomingmonths in order for a patent.
利用通用聚合物聚乙烯醇(PVA)和聚苯乙烯磺酸(PSSA)开发离子膜,并将其用作传感设备。可穿戴传感器直接影响着我们的健康,因此我们需要提高其质量。可穿戴传感器取决于材料的灵敏度以及离子的相变。离子/电荷的相变是通过基于概率模型的渗流理论来分析的。渗滤显示了所谓的关键现象,这通常表明模型包含一个自然参数,在该参数处系统的行为会发生重大变化。成分为 25% 的 PVA/PSSA(S2)膜显示其最小渗流阈值为 0.20。样品 S1(10%)、S2(25%)和 S3(45%)的相变分别为 0.525、0.225 和 0.0343。利用渗流理论考察了相变的稳健性和灵敏度。在五个样品中,有三个样品的坐标更适合用于制造可穿戴传感器,它们是样品 S1(10%)、S2(25%)和 S3(45%)。
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引用次数: 0
A Comparative Study of Different Unorganized Sectors’ Workers in Indiato Identify Musculoskeletal Disorder Prevalence Through EmpiricalSurvey and Deep Learning Methods 印度不同无组织部门工人的比较研究,通过经验调查和深度学习方法识别肌肉骨骼疾病的流行情况
Q3 Engineering Pub Date : 2023-12-06 DOI: 10.2174/0118722121239332230921075628
Arvind Meena, Rahul Jain, Anant Kumar Yadav, Vikram Kumar, Abhishek Meena, Kunj Bihari Rana, Makkhan Lal Meena, Manish Kumar Jindal
Musculoskeletal disorders (MSDs) are a group of non-fatal injuries thatcan occur as a result of various repetitive workplace activities, mainly in unorganized sectors.Workers who engage in highly repetitive activities involving constant hand effort, localized mechanicalpressure, and vibration are more prone to developing these disorders.The objective of this research was to determine the prevalence of MSDs among workersin various unorganized sectors in India who perform hand-intensive occupations.The purpose of current research was to determine the MSD prevalence among workers in various unorganized sectors of India, who perform a severe hand–intensive occupations.A cross-sectional study was conducted, involving 340 workers from diverse groups suchas sugarcane farmers, footwear industry workers, and tarpaulin weavers, to accomplish this goal.Data for the survey was collected using a questionnaire. Additionally, a comprehensive time studyand a deep learning-based posture detection study were conducted on the different activities performedduring the workers' occupational tasks. The chi-square test was used to assess the relationshipbetween discomfort and work repetitiveness.The data analysis revealed that the working activities (especially cutting/harvesting, rubbercutting, etc.) of unorganized sector workers were repetitive, with more than half of each activity’swork cycle involving a similar usage pattern. Furthermore, a significant association wasobserved between the level of discomfort and work repetitiveness among workers in different sectors(sugarcane farmers: p <0.01, footwear industry workers: p < 0.05, tarpaulin weavers: p <0.05). Consequently, it can be concluded that prolonged occupational activities involving repetitiveand prolonged standing may contribute to the occurrence of MSDs.As per the data analysis, all activities were repetitive with over half of each activity's work cycle involving a similar usage pattern. As a result, it can be stated that prolonged occupational activity in repetitive and prolonged standing mode may be considered contributory factors in the MSDs occurrence.Ergonomic interventions/modifications in the form of patent work will be necessaryto prevent these issues in the near future.
肌肉骨骼疾病(MSDs)是一组非致命性伤害,可因各种重复性工作场所活动而发生,主要发生在无组织部门。从事高度重复性活动的工人,包括持续的手部劳动、局部机械压力和振动,更容易患上这些疾病。本研究的目的是确定在印度从事手工密集型职业的各种无组织部门的工人中MSDs的患病率。当前研究的目的是确定印度各种无组织部门中从事严重手工密集型职业的工人的MSD患病率。为了实现这一目标,我们进行了一项横断面研究,涉及来自不同群体的340名工人,如甘蔗种植者、制鞋业工人和篷布编织工人。调查的数据是通过问卷收集的。此外,对工人在职业任务期间进行的不同活动进行了全面的时间研究和基于深度学习的姿势检测研究。采用卡方检验评估不适与重复性工作之间的关系。数据分析显示,无组织部门工人的工作活动(特别是切割/收获,橡胶切割等)是重复的,每个活动的工作周期中有一半以上涉及类似的使用模式。此外,不同行业工人的不适程度与工作重复性之间存在显著关联(甘蔗农:p <0.01,鞋业工人:p <0.05,油布编织工人:p <0.05)。因此,可以得出结论,涉及重复性和长时间站立的长时间职业活动可能导致MSDs的发生。根据数据分析,所有活动都是重复的,每个活动的工作周期中有一半以上涉及类似的使用模式。因此,可以这样说,重复性和长时间站立模式下的长时间职业活动可能被认为是MSDs发生的促成因素。在不久的将来,为了防止这些问题的发生,以专利工作的形式进行人体工程学干预/修改是必要的。
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Recent Patents on Engineering
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