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2020 International Conference on System, Computation, Automation and Networking (ICSCAN)最新文献

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Efficient Child Saving Robot from Open Bore Well using Hand Gesture based Robotic Arm and Gripping Belt Mechanism 基于手势机械臂和夹持带机构的高效裸眼儿童救援机器人
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262438
M. Jayasudha, M. Saravanan
In India, there have been a few revealed bore wells which are by all accounts death pits for children. The average of wells and bore wells in India is currently around twenty 7,000,000, with bore wells representing in excess of 50 percent. Bore wells are built to eradicate the requirement of water. Numerous children passing are accounted for in the past because of bore well mishaps. Nowadays, bore well mishaps are turning out to be most common concern. Children's are losing their lives in light of the carelessness of our general people. Despite the fact that safeguard is the most ideal approach to keep away from such mishaps. So we need an efficient system to pull the children from bore well. To conquer this issue, we proposed a system, in which the robot can move inside the bore well and recover the child securely. The robot consists of two broad hardware unit which is of Hand gestured robotic arm and Belt Mechanism Hardware unit. The hand gesture mechanism is controlled by using accelerometer ADXL 345 for fixing the belt to the children's hand very tightly. Then the belt mechanism is embedded with DC motor to tighten the children hand which is controlled by DPDT switch. To monitor the children inside the bore well, video surveillance is available with the use of web cam. The entire System is snared with pulley rope movement. This sort of robot can discharge trapped child from the bore well safely with in a lesser time.
在印度,有几口暴露出来的井据说是儿童的死亡坑。目前,印度的井和井的平均数量约为2,700万口,其中井占50%以上。钻井是为了消除对水的需求。过去许多孩子的死亡都是由于钻井事故造成的。如今,井祸已成为人们最关心的问题。由于我们老百姓的粗心大意,孩子们正在失去生命。尽管事实上,保护措施是防止此类事故发生的最理想的方法。所以我们需要一个有效的系统来把孩子们从井里拉出来。为了解决这个问题,我们提出了一个系统,在这个系统中,机器人可以在井内移动并安全地回收孩子。该机器人由两大硬件单元组成,即手势机械臂和皮带机构硬件单元。手势机制由ADXL 345加速计控制,将皮带紧紧地固定在孩子的手上。皮带机构内嵌直流电动机,通过DPDT开关控制孩子的手。为了监控井内的孩子,可以使用网络摄像头进行视频监控。整个系统由滑轮绳运动控制。这种机器人能在较短的时间内安全地将被困儿童从井中解救出来。
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引用次数: 2
Biomechanical and Virtual Analysis for Hand Reach in a Manual Sorting Task 人工分拣任务中手伸的生物力学和虚拟分析
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262322
Madineni Vamshi, N. S. Rama Krishna Harish, Putta Ezra, K. B. Prakash, Francis J. Emmatty, V. V. Panicker
Today's workplaces are transforming rapidly with the accelerating changes and developments in technology. Along with this the daily life of blue collar and white collar workers of industries are changing completely. Though there are improvements in the organizations, the condition of the work and the working environment of many workers remain laborious. This leads to an increase in accidents and health issues of the workers. It is utmost important and legitimate expectations of workers to address the health issues emerging out of their employment. Though there is an increasing amount of manual work being done by the machines, most of the Indian micro, small and medium enterprises are opting for manual labor for their industrial operations involving heavy physical and mental stress. Over time, the phase of technological change is greater than the worker's ability to adopt it both physically and mentally. Among the working people, most of the common illnesses results from people-work relationships. In this paper, the working positions and visual conditions of people in the workplace. The basic fact is that the people are different in their heights, ability to withstand physical and mental stress are different and this is the basis in designing the proper tools. The equipment and machinery should be designed properly for the use of people. The poor designs will cause people with lower back pain, muscle and joint pains. The objective of the paper is to estimate the physical and mental workload of workers in manual sorting jobs. In this work, two factors are considered, one is the height of the worktable and second one is the width of the pallet. A total of three scenarios are observed. The data obtained is analyzed with SPSS software and ANOVA is performed. The methodology and results are explained in the paper.
随着技术的加速变化和发展,今天的工作场所正在迅速转变。与此同时,蓝领和白领工人的日常生活正在彻底改变。虽然组织有了改进,但许多工人的工作条件和工作环境仍然很艰苦。这导致事故和工人健康问题的增加。解决就业中出现的健康问题是工人最重要和最合理的期望。尽管越来越多的体力劳动由机器完成,但大多数印度微型、小型和中型企业都选择体力劳动来进行体力劳动,因为它们的工业操作涉及繁重的体力和精神压力。随着时间的推移,技术变革的阶段超过了工人在身体和精神上接受它的能力。在劳动人民中,大多数常见病都是由人与工作的关系引起的。本文介绍了工作场所中人们的工作位置和视觉状况。基本的事实是,人的身高不同,承受身体和精神压力的能力也不同,这是设计合适工具的基础。设备和机器应设计得适合人的使用。不良的设计会导致人们腰痛、肌肉和关节疼痛。本文的目的是估计人工分拣工作中工人的体力和脑力工作量。在这项工作中,考虑了两个因素,一是工作台的高度,二是托盘的宽度。总共观察到三种场景。所得数据用SPSS软件进行分析,并进行方差分析。本文对研究方法和结果进行了说明。
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引用次数: 0
Voice Recognition Based Multi Robot for Blind People Using Lidar Sensor 基于激光雷达传感器的盲人多机器人语音识别
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262365
S. Kalpana, S. Rajagopalan, R. Ranjith, R. Gomathi
In recent times, advancement in the Robotic industry made a huge impact on the Visual path Guiding Industry, Several Blind Assistive system is suggested by many researchers. However, Guiding through the unpredictable ambient environment is a difficult task for mobile Guiding Robots. Internet of Things (IoT) enabled Robot Control is seen as a more flexible and effective communication medium in the Robotic Industry. In this paper, we are suggesting RTOS (Real-Time Operating System) enabled Smart and Multipurpose voice recognition Guiding Robot to guide visually impaired people to Locally Programmed Destination. This Robotic Dog Capable of Recognizing Word Spoken by the User by using Google Voice Recognition API and Operate depend upon the Voice Commands. This Robotic Dog uses Light Detection signals to detect the Obstacles placed in the traveling path. Also, it uses Corner Crossing Algorithm to intelligently avoid the Corners in Operating Environment. This robot having “Watchdog” mode with this mode act as a Watch Dog and will warn a user if there is any abnormal Movement also featured with Fire Sensor. The robot was designed with a self-charging feature, in normal daytime, it can capable of finding the sunlight by moving around the working location and charge by itself using photovoltaic cells.
近年来,机器人工业的进步对视觉导路行业产生了巨大的影响,许多研究人员提出了几种盲人辅助系统。然而,对于移动导向机器人来说,在不可预测的环境中进行引导是一项困难的任务。物联网(IoT)支持的机器人控制被视为机器人行业中更灵活、更有效的通信媒介。本文提出了一种基于实时操作系统(RTOS)的智能多用途语音识别引导机器人,用于引导视障人士到达本地编程目的地。这只机器狗能够通过谷歌语音识别API识别用户所说的单词,并根据语音命令进行操作。这只机器狗使用光探测信号来探测放置在行进路径上的障碍物。同时,采用过角算法对运行环境中的拐角进行智能避开。该机器人具有“看门狗”模式,该模式充当看门狗,如果有任何异常运动将警告用户,该机器人还具有火灾传感器功能。该机器人被设计为具有自充电功能,在正常的白天,它可以通过在工作地点周围移动来寻找阳光,并利用光伏电池自行充电。
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引用次数: 4
Locality based violation vigilant system using mobile application 基于移动应用的局部性违规预警系统
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262386
D. Raman, Shanno Devi, D. Saravanan
Now a days crime has became infestation to the nation. Violations happens in the country are murder, theft, sexual maltreatment and so on crime percentage contrasts from state to state,In India the crime percentage is 2.97 million. The crime happens due to avarice, ire and the crime are anticipated, examined and the expectation depends on the event of crime at the specific zone. data mining is the strategy that used to draw out information from the colossal database,By utilizing apriori calculation the informational collection are extricated In this document an application is created to gives information about number of crime happens at the specific zone to the novice
如今,犯罪已成为国家的祸患。在这个国家发生的违法行为是谋杀、盗窃、性虐待等等,犯罪率在邦与邦之间存在差异,在印度,犯罪率是297万。犯罪的发生是由于贪婪、愤怒和犯罪的预期、审查,预期取决于特定区域的犯罪事件。数据挖掘是一种从庞大的数据库中提取信息的策略,通过先验计算提取信息集合,本文创建了一个应用程序,将特定区域的犯罪数量信息提供给新手
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引用次数: 6
Estimation of Heart Rate and Respiratory Rate using Imaging Photoplethysmography Technique 利用成像光容积脉搏波技术估计心率和呼吸频率
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262320
Neha Singh, A. B. Bazil Raj
Imaging-Photoplethysmography has gathered a great amount of recognition in recent decades given to its simple, cost effective and non-contact multiparameter measurement capability. Generally, for blood volume pulse extraction, two processes are preferred. First, using green channel trace and second, using ICA or PCA to acquire underlying sources signal. ICA is used dominantly. Here, we have employed non-negative matrix factorization (NMF) for underlying source signal acquisition and compared it with the use of green channel for physiological parameter estimation. Normalized raw traces obtained from video recordings were pre-processed to keep only positive oscillations.
近几十年来,成像-光电容积脉搏波以其简单、经济、非接触的多参数测量能力得到了广泛的认可。通常,对于血容量脉冲提取,首选两种方法。首先,利用绿色通道跟踪,其次,利用ICA或PCA获取底层源信号。主要使用ICA。在这里,我们采用非负矩阵分解(NMF)进行底层源信号采集,并将其与使用绿色通道进行生理参数估计进行比较。从视频记录中获得的归一化原始轨迹经过预处理,仅保留正振荡。
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引用次数: 15
Smart Charging Station with Various Power Supply Using ATS 采用ATS的多种电源智能充电站
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262370
R. Premalatha, S. V. Manoraj, R. Prabhakaran, T. Dhanasingh
Recent advancements in the electric vehicle charging stations are aiding the power system in case of reliability and cost efficiency. Since the transfer switch power supply is an interconnection of various power sources, the system to be analyzed consists of solar as a renewable resource. During peak hours the power demand will be increased, which can be minimized by alternate use of supply. In this project a database is created for efficient power usage (between electrical grid and EV's) and transactions made easier. Efficient usage of power and hazel free transactions is attained using cloud data. Quick response code is used to automatically pay tolls. This paper analyses the electric vehicle considering battery ratings such as voltage and current. The aim is to charge the vehicle automatically when it is plugged in and during peak hours the power demand should be satisfied. The software used for analysis is IOTA tangle.
电动汽车充电站的最新进展有助于提高电力系统的可靠性和成本效率。由于转换开关电源是各种电源的互连,因此所分析的系统由太阳能作为可再生资源组成。在用电高峰时段,电力需求将会增加,可通过交替使用供电来将其降到最低。在这个项目中,创建了一个数据库,用于有效地使用电力(在电网和电动汽车之间),并使交易更容易。通过使用云数据,可以有效地使用电力和无hazel事务。使用快速响应码自动支付过路费。本文考虑了电池额定电压和电流等因素对电动汽车进行了分析。其目的是在车辆插入电源时自动充电,并在高峰时段满足电力需求。用于分析的软件是IOTA tangle。
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引用次数: 0
A time-efficient model for detecting fraudulent health insurance claims using Artificial neural networks 利用人工神经网络检测欺诈性健康保险索赔的高效时间模型
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262298
Shamitha S. K, V. Ilango
Health insurance has come in rescue for people, in reducing their medical expenditure, which otherwise would have taken a high toll on their income. There are both private and government-funded agencies serving in the health insurance sector. With soaring high demand among the public, healthcare is not safe from the fraudsters. The usage of computerized techniques has proved this area even more vulnerable. It has become highly essential to detect this fraud at the earliest, such that the impact of loss could be minimized. This paper throws light on a framework in detecting fraud with faster learning and identifying the maximum number of fraud instances. The usual problems, like data heterogeneity and imbalanced classification of classes, have also been discussed in this paper. As a part of developing an efficient framework for fraud detection, we applied several learners and optimization techniques. The framework has evaluated with claims dataset obtained from the CMS Medicare facility. We finally reached to a conclusion that the application of Multi-Layer Perceptron, a feed-forward Neural Network with genetic algorithm optimization had helped in enhancing the results and gain higher accuracy. PCA was also applied to pick the most significant variables. The use of PCA and other appropriate pre-processing techniques has also helped us in reducing the training time, thereby achieving efficiency in terms of accuracy and speed.
医疗保险拯救了人们,减少了他们的医疗支出,否则他们的收入会受到很大影响。医疗保险部门有私营机构和政府资助的机构。随着公众需求的激增,医疗保健在骗子面前也不安全。计算机技术的使用证明了这一领域更加脆弱。尽早发现这种欺诈行为是非常重要的,这样损失的影响就可以降到最低。本文提出了一种快速学习和识别最大欺诈实例数量的欺诈检测框架。本文还讨论了数据异质性和类分类不平衡等常见问题。作为开发有效的欺诈检测框架的一部分,我们应用了几种学习器和优化技术。该框架使用从CMS医疗保险设施获得的索赔数据集进行了评估。我们最终得出结论,多层感知器,一种前馈神经网络的遗传算法优化的应用,有助于提高结果和获得更高的精度。主成分分析也被应用于挑选最显著的变量。使用PCA和其他适当的预处理技术也帮助我们减少了训练时间,从而在准确性和速度方面实现了效率。
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引用次数: 4
Voice Based Form Filling System For Visually Challenged People 基于语音的视障人士表单填写系统
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262431
S. Usharani, P. Bala, R. Balamurugan
Now a days, people are facing so many difficulties to fill the form in various places like Bank, Hospital etc., some people don't know to read and write (illiterate) and some of them are blind peoples. By using the recognition of voice, we can develop the automatic form filling system for the handicapped and blind peoples. These people can fill the form without touching anything and it is fully operated by voice. Voice Recognition play a major role in the world, to control anything using voice. It gives easy way to do the operation of the system. This recognition is a computer software program with the ability to decrypt the human speech. Voice recognition is commonly used to operate the device and write without having to use a console, mouse or press any keys. So, this form filling system is very useful for the society and reduce the wastage of time with the paper and pen, if there is any mistake while filling the form there may also cause wastage of paper but in our system the wastage of time and paper is never occurs. The people comfortable to use the app is developed to fill the form by using voice. After filling the details, the mobile is connected with the printer by using the OTG adaptor and take print of the form. It is the process of the required system that should be handled by the user. So, it is useful for the society.
现在,人们在银行、医院等各种地方填写表格都面临着很多困难,有些人不知道读写(文盲),有些人是盲人。利用语音识别技术,开发残疾人和盲人自动填写表格系统。这些人不用触摸任何东西就可以填写表格,并且完全由语音操作。语音识别在世界上扮演着重要的角色,通过语音来控制任何东西。给出了系统操作的简便方法。这种识别是一种具有解密人类语言能力的计算机软件程序。语音识别通常用于操作设备和书写,而无需使用控制台、鼠标或按任何键。所以,这个表格填写系统对社会非常有用,减少了用纸和笔的浪费,如果填写表格时出现错误,也可能会造成纸张的浪费,但在我们的系统中,时间和纸张的浪费从来没有发生过。熟悉使用该应用程序的人可以通过语音填写表格。填写完详细信息后,手机通过OTG适配器与打印机连接,并打印表格。它是用户应该处理的所需系统的过程。所以,它对社会是有用的。
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引用次数: 2
Use of Learning Style for Content Delivery Personalization 使用学习方式进行内容交付个性化
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262434
Manish Joshi
Personalization in e-services is desirable and large numbers of professional players are ensuring that personalization must be included as a web service for users. Moreover, recommender systems can perform effectively only with the support of personalization. Personalization has gained momentum in the service sector including education. With the advancement of the concept of ‘Teaching with Technology’, industry is inching forward to provide personalized learning contents on e-learning platforms. Personalization can be offered to a learner by ana-lyzing learning behavior, cognitive skills, learning style etc. of a learner. Most of the researchers have attained personalization especially in distance mode of e-learning using Adaptive Educational Hypermedia Systems (AEHS). Different aspects of personalization that demonstrate a paradigm shift from synchronous to adaptive approach of e-learning are being explored and experimented by many researchers. In this paper, we present our experiments of delivering learning objects (LOs) to learners that suits to the learners learning style. A personalized instruction delivery mechanism is developed that matches Learning style of a LO and the learning style of a learner. We demonstrate how such matching is ensured. We present the design of the Intelligent Tutoring System that we have developed and further discussed the learning style driven content delivery personalization.
电子服务中的个性化是需要的,并且大量的专业参与者正在确保个性化必须作为用户的web服务包含在内。此外,推荐系统只有在个性化的支持下才能有效地执行。在包括教育在内的服务领域,个性化发展势头强劲。随着“以科技教”理念的推进,业界正逐步在电子学习平台上提供个性化的学习内容。通过分析学习者的学习行为、认知技能、学习风格等,可以为学习者提供个性化服务。大多数研究人员已经实现了个性化,特别是在使用自适应教育超媒体系统(AEHS)的远程电子学习模式中。许多研究人员正在探索和实验个性化的不同方面,这些方面表明了从同步到自适应的电子学习方法的范式转变。在本文中,我们提出了一种适合学习者学习风格的学习对象交付实验。开发了一种个性化的教学交付机制,以匹配LO的学习风格和学习者的学习风格。我们将演示如何确保这种匹配。介绍了我们开发的智能辅导系统的设计,并进一步讨论了学习风格驱动的个性化内容交付。
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引用次数: 1
Design of Log Helical Antenna for UHF/S-band Applications UHF/ s波段对数螺旋天线的设计
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262271
T. Sekhar, Jagadish C. Mudiganti
In this paper, we proposed the design of Log Helical Antenna(LHA) for UHF and S-Band applications. This antenna is modified version of Normal Helical Antenna(NHA). In LHA design both radius and pitch angle of helix are varying logarithmically for achieving the desired frequency range. Proposed LHA design will be operated in UHF (0.3 to 1GHz) and S band (2-4GHz) regions. Design parameters are compared for different number of turns and observed the simulated results.
本文提出了一种用于UHF和s波段应用的对数螺旋天线(LHA)的设计方法。该天线是普通螺旋天线(NHA)的改进版本。在LHA设计中,螺旋的半径和俯仰角都是对数变化的,以达到期望的频率范围。拟议的LHA设计将在UHF(0.3至1GHz)和S频段(2-4GHz)区域运行。比较了不同匝数下的设计参数,并观察了仿真结果。
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引用次数: 1
期刊
2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
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