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System to provide Reading Aid to Visually Impaired People 为视障人士提供辅助阅读的系统
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.013
Saloni Chaturvedi, Milind Chechani, Krisha Gautami, Kashyap Joshi
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引用次数: 0
Biomedical Sleep Inducer System 生物医学睡眠诱导系统
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.008
Deepjyoti Mahanta, Hemashree Bordoloi, Samar Jyoti Saikia
Sleeping difficulty called insomnia, can involve difficulty in falling asleep one who has first go to bed at night, waking up too early in the morning and waking up often during night. The lack of restful sleep can affect your ability to hold out daily responsibilities. All types of insomnia can cause day time drowsiness, poor concentration, and therefore the inability to feel refreshed and rested in the morning. Magnetic flux related to the plannet is termed geo-magnetic fields. It is essentially dipolar on the earth’s surface. Many of us experience sleeping well within the natural surroundings into a tent or a wooden hut. This fact is because of not only to the healthy atmosphere but also from our unconscious ability to perceive natural earth’s magnetic fields. Our paper is about this sort of geo-magnetic –fields. This has been designed a circuit, which radiates an electromagnetic field which is low frequency through a radiator coil and our aim is to perceive them, in this manner our brain is surrounded by a perfect  environment for a sound sleep.
睡眠困难被称为失眠,包括入睡困难,晚上先上床睡觉,早上醒来太早,晚上经常醒来。缺乏充足的睡眠会影响你履行日常职责的能力。所有类型的失眠都会导致白天嗜睡,注意力不集中,因此无法在早上感到精神焕发和休息好。与行星有关的磁通量称为地磁场。它在地球表面基本上是偶极的。我们中的许多人都在自然环境中睡得很好,睡在帐篷或木屋里。这一事实不仅是因为健康的大气,还因为我们无意识地感知自然地球磁场的能力。我们的论文就是关于这种地磁场的。我们设计了一个电路,通过一个辐射线圈辐射出低频的电磁场,我们的目标是感知它们,这样我们的大脑就被一个完美的环境包围着,可以睡个好觉。
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引用次数: 0
IOT Based Application for monitoring and Predicting Air Quality in the environment 基于物联网的环境空气质量监测和预测应用
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.011
Vaishnavi Kulkarni, Priyanka Mudaliar, Rutuja Jaid, Abhijeet Mandal, Kranti M. Kamble
India has been dealing with pollution for a long time. As the matter of fact, in February, India was home to six out of 10 of the world’s most polluted cities. While on the contrary, atmospheric pollution, surrounding pollutants are about 1000 times more likely to be transmitted to the lungs, causing diseases The main sources of air pollution are motor vehicle emissions, illegal industrial activities, harmful pesticides, and many times we see LPG gas leakages and cylinder truck accidents on the road which are harmful to us and can take our lives. Therefore, poor air quality results in many health complications, such as heart disease, lung cancer, and breathing problems like asthma. It is important to regulate air pollution and also to incorporate technology, sensors, and software systems to ensure that air pollution is closely monitored. Our efforts in this project are to create an application that can be used to track air quality to take preventive steps to keep our living environment healthy. The program is user-friendly and works to produce real-time air quality warnings as a preventive mechanism. Our key contribution is to build a monitoring system for air quality that senses the real-time data of surrounding parameters such as carbon monoxide and PM level and warns people when the sum of these elements goes above a certain limit and presents the data in a format that is easy to understand.
印度长期以来一直在处理污染问题。事实上,今年2月,在全球污染最严重的10个城市中,印度占了6个。而相反,大气污染,周围的污染物是大约1000倍更容易传播到肺部,引起疾病。空气污染的主要来源是机动车排放,非法工业活动,有害农药,我们经常看到LPG气体泄漏和汽缸卡车事故在道路上,这是对我们有害的,可以夺走我们的生命。因此,空气质量差会导致许多健康并发症,如心脏病、肺癌和哮喘等呼吸问题。重要的是要规范空气污染,并结合技术、传感器和软件系统,以确保密切监测空气污染。我们在这个项目中的努力是创建一个可用于跟踪空气质量的应用程序,以采取预防措施,保持我们的生活环境健康。该程序是用户友好的,并致力于产生实时空气质量警报作为一种预防机制。我们的主要贡献是建立一个空气质量监测系统,该系统可以感知一氧化碳和PM水平等周围参数的实时数据,并在这些元素的总和超过一定限度时向人们发出警告,并以易于理解的格式呈现数据。
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引用次数: 0
Detection and Recognition of Object for Image Captioning 图像标题中目标的检测与识别
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.009
Prashant Yadav, Vishal Vishwakarma, Aakash Tiwari
As one of the most intelligent beings on the planet, we are equipped with the most powerful visual and language system as it is easy for us to extract visual information from a given image and transform it into proper linguistic description. Image Caption Generator deals with generating captions for a given image. The capturing mechanism involves a tiring task that collaborates both computer vision and image processing. The mechanism must detect and establish relationships between objects, people, and animals. The aim of this paper is to detect, recognize and generate worthwhile captions for a given image. We use transfer learning CNN on sentences, and extract image representation with Neural Networks.
作为地球上最聪明的生物之一,我们拥有最强大的视觉和语言系统,因为我们很容易从给定的图像中提取视觉信息并将其转化为适当的语言描述。Image Caption Generator处理为给定图像生成标题。捕获机制涉及一项累人的任务,它需要计算机视觉和图像处理两方面的协作。该机制必须检测并建立物体、人和动物之间的关系。本文的目的是检测、识别和生成给定图像的有价值的标题。我们在句子上使用迁移学习CNN,并使用神经网络提取图像表示。
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引用次数: 0
SMART-CAM FOR WAREHOUSE 仓库智能摄像头
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.006
Sampada S. Chalke, Shreyas S. Keny, Sunil R. Patade
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引用次数: 0
Electrical vehicle speed control by AI technique 基于AI技术的电动汽车速度控制
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.005
Mahesh Ramesh Birajdar, Tabasum Bashir Patait, Alisha Rafik Sayyad, Pratik Sudhakar Jangam, Swpnil Sudhakar Bhosle, A. A. Malgave
This research paper in regards to the programmed vehicle driving framework without driver. This part presents a speed control of electric vehicle (EV) to improve the comportment and solidness under different street essential state . The control circuit utilizing shrewd fuzzy PI regulator is proposed. Boundaries which manage the working of PI regulator are progressively changed with the help of fuzzy canny control. This work manages the issue of way following for an electrical vehicle which has four electromechanical wheels framework. A regulator dependent on fuzzy rationale send the speed and the guiding guidelines to the robot to guarantee that the robot follows the direction , during the plan of this regulator the exertion was focused on the effortlessness and proficiency . The handling and reaction time are fundamental components in the process control, which is the thing that roused the decision of the construction and the boundaries of the various pieces of the fuzzy regulator.
本文针对无驾驶员的程序化车辆驾驶框架进行了研究。为提高电动汽车在不同道路基本状态下的舒适性和稳健性,提出了电动汽车的速度控制方法。提出了利用灵敏模糊PI调节器的控制电路。利用模糊模糊控制逐步改变控制PI调节器工作的边界。本文研究了具有四个机电轮架的电动汽车的路径跟踪问题。一种基于模糊原理的调节器向机器人发送速度和指导方针,以保证机器人遵循方向,在该调节器的规划过程中,其作用重点是轻松和熟练。处理时间和反应时间是过程控制的基本组成部分,它决定了模糊调节器各部分的结构和边界。
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引用次数: 0
Industrial Pipe Conveyor Belt Orientation Monitoring System 工业管道输送带方向监控系统
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.012
S. Patil, Ajay Jare, A. Akhade, Saurabh Harihar
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引用次数: 0
Optimization of Milling Parameters of Aluminium Alloy 7075 for Face Milling Using Finite Element Method 用有限元法优化7075铝合金端面铣削工艺参数
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.016
H. R. Ghan, Dr.Netra Pal Singh
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引用次数: 0
A Comparative Study of DG Impacts on Power System Stability under Equal and Unequal Load Growth Scenarios 等负荷和不等负荷增长情景下DG对电力系统稳定性影响的比较研究
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.002
K. R. Patil, S. R. Karnik, A. Raju
The distributed generation (DG) technology is developed to meet the increasing load demand at a load centre by exploring locally available energy sources, including renewables. Although DG technology offers many technical and economic benefits, certain issues need further research. The impact of DG penetration on the system’s stability is one such issue that requires significant attention in power system research. This study investigates the impact of DG penetration on the system’s small-signal and transient stability under equal and unequal load growth scenarios. The unequal load growth condition is simulated by employing an orthogonal array (OA), and the impact of DG penetration on small-signal stability is analyzed through critical eigenvalues while time-domain indicators were employed to analyze transient stability. The importance of unequal load growth conditions while evaluating the impact of DG penetration on stability is demonstrated on a 3 generators, 9 bus WSCC power system.
分布式发电(DG)技术的发展是为了满足负荷中心不断增长的负荷需求,通过探索当地可用的能源,包括可再生能源。虽然DG技术提供了许多技术和经济效益,但仍有一些问题需要进一步研究。DG侵入对系统稳定性的影响是电力系统研究中值得关注的问题之一。本文研究了DG侵入对等负荷和不等负荷增长情况下系统小信号和暂态稳定性的影响。采用正交阵列(OA)模拟负载不均匀增长情况,通过临界特征值分析DG侵彻对小信号稳定性的影响,并采用时域指标分析暂态稳定性。以3台发电机、9条母线的WSCC电力系统为例,说明了不均匀负荷增长条件在评估DG渗透对稳定性影响时的重要性。
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引用次数: 0
Ocular Disease Detection Using Advanced Neural Network Based Classification Algorithms 基于高级神经网络分类算法的眼部疾病检测
Pub Date : 2021-08-18 DOI: 10.33130/ajct.2021v07i02.019
Nadim Mahmud Dipu, Sifatul Alam Shohan, K. Salam
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引用次数: 9
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ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY
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