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Automatic Vehicle Identification System Using RFID Electronic Tag for Traffic IoT Applications 应用于交通物联网的RFID电子标签自动车辆识别系统
Pub Date : 2023-07-31 DOI: 10.46610/jocsaci.2023.v09i02.003
E. P. M. Nambiar, Shilpa U. Kharche
RFID technology has emerged as one of the most prominent and transformative technologies globally. Its diverse applications have significantly enhanced our daily lives, ensuring greater convenience and enhanced security. The focus of the present study revolves around leveraging this remarkable RFID technology to counter car theft and unauthorized vehicle usage. The project centers on employing Arduino Nano Technology, a cost-effective solution compared to other available technologies, to address this issue effectively. The core concept involves the utilization of RFID tags, which are scanned by an RFID scanner to store crucial data within the tag. This data is compared against the stored information of authorized personnel. The primary objective is to identify stolen or unauthorized vehicles swiftly. By harnessing the power of Arduino Nano, this project not only becomes affordable but also promises efficient outcomes. The components crucial to the project's success include the RFID technology itself, the Arduino Nano board, the SD card module, and the RTC module DS3231. Working in synergy, these components enable seamless data transfer and comparison, facilitating timely decision-making when discrepancies are detected. With the integration of RFID technology, the security and tracking capabilities of this system hold immense potential for curbing car theft and unauthorized vehicle usage. By ensuring that the scanned RFID data aligns with authorized ownership, appropriate measures can be promptly taken to mitigate any potential security breaches. This innovative application of RFID technology in conjunction with Arduino Nano highlights the potential to revolutionize vehicle security and surveillance measures, creating a safer and more reliable automotive landscape.
RFID技术已成为全球最突出和最具变革性的技术之一。它的多样化应用极大地改善了我们的日常生活,确保了更大的便利和更高的安全性。本研究的重点是利用这种卓越的RFID技术来打击汽车盗窃和未经授权的车辆使用。该项目以采用Arduino纳米技术为中心,与其他可用技术相比,它是一种具有成本效益的解决方案,可以有效地解决这个问题。核心概念涉及RFID标签的利用,通过RFID扫描仪扫描标签以在标签内存储关键数据。将此数据与授权人员存储的信息进行比较。主要目标是迅速识别被盗或未经授权的车辆。通过利用Arduino Nano的力量,这个项目不仅变得负担得起,而且承诺有效的结果。项目成功的关键组件包括RFID技术本身、Arduino Nano板、SD卡模块和RTC模块DS3231。这些组件协同工作,实现了无缝的数据传输和比较,便于在发现差异时及时做出决策。随着RFID技术的集成,该系统的安全性和跟踪能力在遏制汽车盗窃和未经授权的车辆使用方面具有巨大的潜力。通过确保扫描的RFID数据与授权的所有权一致,可以迅速采取适当的措施来减轻任何潜在的安全漏洞。RFID技术与Arduino Nano的创新应用凸显了彻底改变车辆安全和监控措施的潜力,创造了一个更安全、更可靠的汽车环境。
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引用次数: 0
Exoskeleton Arm: The First Step for Treatment of Paralysis Patient 外骨骼手臂:治疗瘫痪病人的第一步
Pub Date : 2023-07-24 DOI: 10.46610/jocsaci.2023.v09i02.002
Prakash Kerur, Prateek P
Ongoing research and innovation in this field continue to expand the possibilities and offer new opportunities for enhanced functional independence and quality of life. It's important to note that the specific design, features, and capabilities of the exoskeleton can vary based on the research and development efforts outlined in the paper. The mentioned technologies and mechanisms highlight a promising direction for the advancement of assistive exoskeletons in rehabilitation. Further research and refinement in this field can lead to improved outcomes and increased accessibility for individuals with upper extremity mono paresis. The mechanism for the movement of the hand is a tendon flexion mechanism with servo motor actuators controlled by a microcontroller. Technology is transforming patient rehabilitation and improving the lives of individuals with disabilities. Kinematics design replicates the natural movement of the human arm while considering the limitations of the exoskeleton system. Use biomechanical principles to determine the number and placement of joints, as well as the range of motion required for each joint. The exoskeleton should be lightweight, and streamlined, and allow natural motion without restricting the user.
该领域正在进行的研究和创新不断扩大可能性,并为增强功能独立性和生活质量提供新的机会。值得注意的是,外骨骼的具体设计、特征和功能可能会根据论文中概述的研究和开发工作而有所不同。上述技术和机制突出了辅助外骨骼在康复领域的发展前景。该领域的进一步研究和完善可以改善上肢单侧轻瘫患者的治疗效果和可及性。手的运动机构是由微控制器控制的带有伺服电机执行器的肌腱弯曲机构。技术正在改变患者的康复,改善残疾人的生活。运动学设计复制了人类手臂的自然运动,同时考虑了外骨骼系统的局限性。使用生物力学原理来确定关节的数量和位置,以及每个关节所需的活动范围。外骨骼应该是轻的,流线型的,允许自然运动而不限制用户。
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引用次数: 0
Real-Time Utilities Consumption Monitoring System Using ESP32 基于ESP32的电力消耗实时监控系统
Pub Date : 2023-06-01 DOI: 10.46610/jocsaci.2023.v09i02.001
S. R, Akhilesh M T, Anirudh K, Swetha C, A. K, V. Balamurugan
The pressing need for energy and water conservation has spurred the development of consumption monitoring and regulating systems. In response to this concern, we propose the implementation of a real-time monitoring system that tracks energy and water consumption, as well as detects pH values, utilizing an ESP32 microcontroller. This system comprises an ESP32 microcontroller, a pH sensor, a voltage sensor, a water flow sensor, and a Wi-Fi module. The ESP32 microcontroller gathers data from the sensors and processes it before transmitting the information to a database through the Wi-Fi module. Users can remotely access this data through a web application, enabling them to identify instances of wasteful consumption and make informed decisions regarding energy and water conservation. Additionally, the system provides users with valuable insights into the quality of the water they are consuming. By offering accurate data on overall energy consumption, as well as individual energy usage patterns and water consumption, this system possesses the potential to make a significant contribution to the conservation of energy and water resources. Users will be empowered to analyze their consumption patterns and take proactive steps to reduce waste and promote sustainable practices. The real-time monitoring system serves as a crucial tool for raising awareness about energy and water conservation. It encourages individuals and organizations to adopt more responsible consumption habits by providing them with tangible data and insights into their consumption patterns. Moreover, the remote accessibility of the system ensures that users can monitor their consumption from any location, further facilitating informed decision-making.
节约能源和水资源的迫切需要推动了消费监测和调控系统的发展。针对这一问题,我们提出了一种实时监测系统的实施,该系统利用ESP32微控制器跟踪能源和水的消耗,并检测pH值。该系统由ESP32微控制器、pH传感器、电压传感器、水流传感器和Wi-Fi模块组成。ESP32微控制器从传感器收集数据并进行处理,然后通过Wi-Fi模块将信息传输到数据库。用户可以通过web应用程序远程访问这些数据,使他们能够识别浪费的实例,并就节能和节水做出明智的决定。此外,该系统还为用户提供了有关他们正在饮用的水的质量的宝贵见解。这个系统提供关于总的能源消耗以及个别能源使用模式和水消耗的准确数据,有可能对节约能源和水资源作出重大贡献。用户将有权分析其消费模式,并采取积极措施减少浪费和促进可持续做法。实时监测系统是提高节能节水意识的重要工具。它鼓励个人和组织采用更负责任的消费习惯,为他们提供切实的数据和洞察他们的消费模式。此外,系统的远程访问确保用户可以从任何位置监控他们的消耗,进一步促进明智的决策。
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引用次数: 0
Real-Time Synchronization System for Press Machines 压力机实时同步系统
Pub Date : 2023-04-25 DOI: 10.46610/jocsaci.2023.v09i01.002
Omkar G. Gorde, Umesh D. Shirale, S. Kodgire, Pritam C. Pradhan, M. Randive, Siddhi S. Mandre
A real-time system is one that is put through its paces, meaning that it responds within the allotted time frame or fulfills the deadline. There are two sorts of real-time systems: hard and soft. Both are employed in various situations. When using hard real-time systems, even a delay of a few nanoseconds or microseconds is not permitted. Soft real-time systems offer some leeway in the depiction of time. Modern industries rely heavily and extensively on real-time systems. In order to produce the most precise and accurate results, systems are built to operate in real time. Real-time systems have a significant influence on human health and treatment in the realm of medical science. Real-time systems in medical science have saved countless lives and allowed for the more straightforward treatment of complicated diseases. This research proposal is centred on a "Real-time synchronization system for press machines" to regulate the machines for manufacturing if the number of workpieces exceeds and enable or disable the machines, utilizing sensors, controllers, and more parts. This real-time synchronization system is dependable and reasonably priced; it can be applied to industrial settings or other settings. This system has good sustainability; two press tool machines can use the system.
实时系统是按其速度运行的系统,这意味着它在分配的时间框架内做出响应或完成最后期限。实时系统有两种:硬系统和软系统。两者都适用于各种情况。当使用硬实时系统时,即使是几纳秒或微秒的延迟也是不允许的。软实时系统在时间描述方面提供了一些余地。现代工业严重而广泛地依赖实时系统。为了产生最精确和准确的结果,系统被构建为实时运行。实时系统在医学科学领域对人类健康和治疗有重大影响。医学上的实时系统挽救了无数人的生命,并使复杂疾病的治疗更加直接。该研究计划以“压力机实时同步系统”为中心,利用传感器、控制器和更多部件,在工件数量超过时调节机器的制造,并启用或禁用机器。该实时同步系统可靠,价格合理;它可以应用于工业设置或其他设置。该系统具有良好的可持续性;两台压力机均可使用该系统。
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引用次数: 0
Parkinson’s Disease Prediction Using Machine Learning 用机器学习预测帕金森病
Pub Date : 2023-02-10 DOI: 10.46610/jocsaci.2023.v09i01.001
Mallikarjun P Y, N. Singh, S. Bhavana, Sompalli Swathi, Vikas Singh
A neurological condition of the brain is Parkinson's disease. It causes the body to shake, the hands to shake, and it makes the body stiff. At this advanced level, there is still no viable treatment or cure. Only when treatment is initiated at the earliest stage of the disease is it effective. These could potentially save a life in addition to lowering the cost of the illness. The majority of ways can identify Parkinson's disease after it has advanced, which results in basal ganglia, which regulates movement of the body with a small quantity of dopamine, losing about 60% of their dopamine. The presence of diminutive precursors to chronic diseases, especially neurologically based ailments such as Parkinson’s can indicate and diagnose them in their earliest stages. Parkinson’s disease (PD) is characterized by symptoms such as spasms in the limbs, jaw, and head, rigidity in the limbs and trunk, slow movement, etc. It is important to notice these preliminary symptoms early on to avoid developing Parkinson's disease. This project proposes algorithms used on the dataset to predict PD. Two kinds of datasets are used; one voice dataset and another spiral drawing dataset, and algorithms are used in these datasets to predict the disease and to show the results a user-friendly Web-Application is developed. The algorithms used are K-Nearest Neighbours (KNN) on voice dataset implementation and Random Forest on spiral drawing implementation.
帕金森氏症是一种脑部神经系统疾病。它使身体颤抖,使双手颤抖,使身体僵硬。在这个先进的水平,仍然没有可行的治疗或治愈。只有在疾病的早期阶段开始治疗才有效。除了降低疾病的成本外,这些还可能挽救一条生命。大多数方法可以在帕金森病进展后识别,这导致基底神经节,它通过少量多巴胺调节身体的运动,失去约60%的多巴胺。慢性疾病的微小前兆的存在,特别是神经系统疾病,如帕金森氏症,可以在早期阶段指示和诊断它们。帕金森病(PD)的特点是四肢、下颌和头部痉挛,四肢和躯干僵硬,运动缓慢等症状。早期注意到这些初步症状对于避免发展为帕金森病是很重要的。本项目提出了在数据集上预测PD的算法。使用了两种数据集;一个语音数据集和另一个螺旋图数据集,并在这些数据集中使用算法来预测疾病并显示结果,开发了一个用户友好的web应用程序。语音数据集的实现采用k近邻算法(KNN),螺旋图的实现采用随机森林算法。
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引用次数: 0
Survey on Surface Disinfection Robot Using UV Light and Liquid Sanitizer 使用紫外线灯和液体消毒剂的表面消毒机器人研究
Pub Date : 2022-12-30 DOI: 10.46610/jocsaci.2022.v08i03.002
Sai Kiran M Venkat, Tripti R Kulkarni, Karan Abrol, K. K, K. L. Reddy
An Ultraviolet (UV) based sterilization technique acts as a useful aid in pruning the growth of microorganisms that usually persists on the surfaces after the usual procedure of cleaning and sanitizing. A UV robot is being developed for sterilization and sanitization in the operating rooms of hospitals. Surface decontamination is a crucial procedure to prevent the spread of infections in hospitals. The usual procedures of manual cleaning and disinfection are inadequate to eliminate pathogens from the infected and contaminated surfaces. Ultraviolet-C (UV-C) radiation deploying autonomous disinfection control system is being developed to complement the conventional decontamination procedures with a significant reduction of time and concurrent reduction of workload. The UV Robot lowers the transmission of hazardous virus as it can cleanse the areas that are out of human reach. In the view of technology, the development of robots is a part of preventive strategy to overcome the challenges faced by hospitals in a pandemic like situations. It also helps us to increase the effectiveness in battling the pandemic. This robot is also power efficient as it can function for a longer period of time than a human. It can also reduce human interference, also decreasing the risk of contamination of virus.
紫外线(UV)为基础的灭菌技术作为一种有用的援助,在修剪微生物的生长,通常在清洁和消毒后的表面上。一种用于医院手术室消毒消毒的紫外线机器人正在开发中。表面消毒是防止感染在医院传播的关键步骤。通常的人工清洁和消毒程序不足以消除感染和污染表面的病原体。紫外线- c (UV-C)辐射部署自主消毒控制系统正在开发,以补充传统的去污程序,显着减少时间和同时减少工作量。紫外线机器人可以清洁人类无法触及的区域,从而降低有害病毒的传播。从技术角度来看,机器人的发展是预防战略的一部分,以克服医院在类似大流行的情况下面临的挑战。它还有助于我们提高防治这一流行病的效力。这个机器人也很节能,因为它可以比人类工作更长的时间。它还可以减少人为干扰,也降低了病毒污染的风险。
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引用次数: 0
Automated Process Control System for the Production of Advanced Foam Materials Using a Programmable Logic Controller 采用可编程逻辑控制器的先进泡沫材料生产自动化过程控制系统
Pub Date : 2022-10-21 DOI: 10.46610/jocsaci.2022.v08i03.001
M. Shoikhedbrod
Obtaining foam materials with high physical and mechanical properties is one of the most important tasks, associated with the needs of the chemical industry, medicine, mechanical engineering and space technology. Known methods for producing foam materials create foam materials by foaming aqueous dispersions of high polymers, using thermal decomposition of organic and inorganic substances, by using radiation degradation of a thermoplastic polymer; by foaming polyurethane compositions by injection of condensed hydrogen under high pressure and others. All these methods, on the one hand, are uneconomical and harmful. The toxicity of thermal decomposition products and the unfavorable influence of the chemical nature of gas-forming agents worsen the properties of the resulting material. On the other hand, these processes only produce certain foams, which greatly limit their applicability to a wide range of foams. This article presents the developed automated process control system of production of advanced foam materials using a programmable logic controller, in the RAM of which a computer program is embedded, which allows the use of vibroturbulization intensive mixing with optimal parameters for the formation of electrolytic hydrogen bubbles from the hydrogen gas entering to the chamber with a thermoplastic, obtained separately in the electrolysis chamber by electrolysis of water, and uniform saturation by them of the thermoplastic at its melting temperature in automatic mode.
获得具有高物理和机械性能的泡沫材料是化学工业、医学、机械工程和空间技术的重要任务之一。生产泡沫材料的已知方法通过对高聚物的水性分散体进行发泡,利用有机和无机物的热分解,利用热塑性聚合物的辐射降解来产生泡沫材料;通过高压下注入冷凝氢等发泡聚氨酯组合物。所有这些方法,一方面,是不经济和有害的。热分解产物的毒性和产气剂化学性质的不利影响使所得材料的性能恶化。另一方面,这些工艺只能产生某些泡沫,这极大地限制了它们在广泛泡沫中的适用性。本文介绍了使用可编程逻辑控制器开发的先进泡沫材料生产自动化过程控制系统,该系统在RAM中嵌入了计算机程序,该系统允许使用振动湍流强化混合,并具有最佳参数,以便从氢气进入腔室与热塑性塑料形成电解氢气泡,热塑性塑料在电解室中通过电解水单独获得。在自动模式下,热塑性塑料在其熔化温度下均匀饱和。
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引用次数: 0
Low Cost Linear Variable Differential Transformer Construction and Calibration 低成本线性可变差动变压器结构与校准
Pub Date : 2022-08-23 DOI: 10.46610/jocsaci.2022.v08i02.005
H. Latha, M. Rajesh, K. Shenpriya, N.K. Santhiya
The Low Cost Linear Variable Differential Transformer (LVDT) sensor's fabrication and calibration are discussed in this study. The iron core of the built LVDT measures 8 inches in length and 1 inch in diameter, while the probe is 4.5 inches long and 0.5 inches in diameter. By using a 1 cm known surface displacement to measure the voltage at 6.35 V, the performance of the LVDT was determined. The unknown surface waviness about voltage is measured using the constant of the known surface displacement from this. This sensor's performance accuracy ranges from 97.6% to 99.96%. When compared to other market sensors, the manufactured LVDT costs only about $28, which is little.
本文讨论了低成本线性可变差动变压器(LVDT)传感器的制作和标定。内置LVDT的铁芯长度为8英寸,直径为1英寸,而探头长4.5英寸,直径为0.5英寸。利用已知的1 cm表面位移测量6.35 V电压,确定LVDT的性能。利用由此得到的已知表面位移常数来测量电压的未知表面波纹度。该传感器的性能精度范围为97.6% ~ 99.96%。与其他市场上的传感器相比,制造的LVDT成本仅为28美元左右,这是一个很小的数字。
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引用次数: 0
Arduino based Real-Time Noise and Air Pollution Monitoring Alert System 基于Arduino的实时噪声和空气污染监测警报系统
Pub Date : 2022-08-21 DOI: 10.46610/jocsaci.2022.v08i02.004
H. Latha, M. Rajesh, K. Shenpriya, N.K. Santhiya
Climate change, noise, water and air pollution, as well as other environmental problems, are becoming increasingly serious due to the rapid growth of the human population, industrialization, infrastructure improvements, the development of cars, and the use of fossil fuels. It is crucial to keep an eye on these problems and offer strategies to solve them in order to guarantee a healthy life and a brighter future. A new area of study that can help with the monitoring of noise and air pollution is called "smart sensor networks," which combines computer science, wireless communication, and electronics. Here, we propose an IoT-based system for monitoring air quality and noise pollution that will enable us to keep an eye on and assess these factors in specific locations. The system monitors the air for the presence of dangerous gases or compounds using a variety of wind sensors, and it continuously updates this information on a compact controller. Additionally, our system keeps track of audio intensity and transmits this information to an online server using IoT. The microcontroller that interprets this data and sends it over the Internet communicates with the sensors. This enables the government to keep an eye on, manage, and take action against air pollution in diverse locations. Additionally, respected authorities may keep an eye on noise pollution around hospitals, schools, and other non-wooded places. If the system notices problems with air quality or noise, it will alert authorities so they can take appropriate measures to mitigate the problem.
由于人口的快速增长、工业化、基础设施的改善、汽车的发展和化石燃料的使用,气候变化、噪音、水和空气污染以及其他环境问题正变得越来越严重。为了保证健康的生活和更光明的未来,密切关注这些问题并提供解决这些问题的策略是至关重要的。一个可以帮助监测噪音和空气污染的新研究领域被称为“智能传感器网络”,它结合了计算机科学、无线通信和电子学。在这里,我们提出了一个基于物联网的系统来监测空气质量和噪音污染,这将使我们能够密切关注和评估特定地点的这些因素。该系统使用各种风传感器监测空气中危险气体或化合物的存在,并在紧凑型控制器上不断更新这些信息。此外,我们的系统跟踪音频强度,并使用物联网将此信息传输到在线服务器。微控制器解释这些数据并将其通过互联网发送给传感器。这使政府能够关注、管理和采取行动应对不同地区的空气污染。此外,受人尊敬的当局可能会关注医院、学校和其他非树木繁茂的地方周围的噪音污染。如果系统发现空气质量或噪音问题,它会提醒当局,以便他们采取适当的措施来缓解问题。
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引用次数: 0
A Smart Greenhouse Monitoring System 智能温室监控系统
Pub Date : 2022-07-12 DOI: 10.46610/jocsaci.2022.v08i02.003
Shweta More, Shilpa Nandedkar, S. Kodgire
The system proposed in this paper is an advanced result for covering the all conditions at a particular place and making the information visible anywhere in the world. The technology behind this is the Internet of Things (IoT), which is an advanced and effective result for connecting the effects to the internet and to connect the entire world of effects in a network. Then effects might be whatever like electronic widgets, detectors and automotive electronic outfits. The system deals with monitoring and controlling the environmental conditions like temperature, relative moisture and CO position with detectors and sends the information to the web runner and compass the detector data as graphical statistics. The data streamlined from the enforced system can be accessible on the internet from anywhere in the world.
本文提出的系统是覆盖特定地点的所有条件,使信息在世界任何地方可见的先进成果。这背后的技术是物联网(IoT),它是将效果连接到互联网,并将整个效果世界连接到网络中的先进而有效的结果。那么效果可能是电子部件、探测器和汽车电子设备。该系统通过探测器对温度、相对湿度、CO含量等环境条件进行监测和控制,并将探测器数据以图形统计的形式发送给卷筒机和罗盘。从强制执行的系统中精简出来的数据可以在世界上任何地方的互联网上访问。
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引用次数: 1
期刊
Journal of Control System and Control Instrumentation
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