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2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)最新文献

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Hardware Implementation of a High Step up DC-DC Converter Using Photovoltiac System 基于光伏系统的高升压DC-DC变换器硬件实现
Karale Nayan Ramesh, Pawar mrugnayni vinayak, S. Pawar
A high step up DC input voltage is a most critical requirement of various electrical applications. A high step up DC DC converter using photovoltaic system is a worthy solution of this need. Due to coupled inductor with a capacitor charge in parallel and discharge in series which increase the voltage transfer gain. this converter can accomplish high duty ratio with high step up voltage gain. Also voltage stress on main power switch can be reduced by minimizing the conduction losses and improving efficiency. This paper has incorporated technique for hardware implementation of a high step up DC DC converter using photovoltaic system. In this project coupled inductor with switching capacitor technique are developed to make hardware circuit for input of 12v from the PV panel, output voltage of 100v across the load and power of 354W. Finally, to check its performance the prototype circuit also developed.
高升压直流输入电压是各种电气应用中最关键的要求。采用光伏系统的高阶直流变换器是解决这一问题的理想方案。由于电感与电容耦合,充电并联,放电串联,增加了电压传递增益。该变换器可以实现高占空比和高升压增益。通过减小导通损耗和提高效率,可以减小主电源开关的电压应力。本文介绍了利用光伏系统实现直流变换器的硬件实现技术。本课题开发了耦合电感和开关电容技术,制作了光伏板输入12v,跨负载输出100v,功率354W的硬件电路。最后,为了验证其性能,还开发了原型电路。
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引用次数: 0
Optimization of surveillance cost of a neighborhood using soft computing techniques 基于软计算技术的小区监控成本优化
Hari Mohan Pandey, A. Agarwal, Vineet Pratik
This work presents a genetic algorithm for the optimization of surveillance cost of a neighborhood. For a given map view (Google map view, satellite view, etc.) of any neighborhood, the aim is to estimate the minimum number of CCTV monitoring poles and their position required for complete surveillance. We will demonstrate how this problem models as a minimum vertex cover problem (MVCP). As MVC problem is NP-Hard problem, to deal efficiently with this optimization problem, we will apply a genetic based approach. Performance of the proposed genetic algorithm is also compared with the clever greedy algorithm and the natural heuristic for vertex cover. The modeling approach is illustrated with a college campus named Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand-826004.
本文提出了一种用于小区监控成本优化的遗传算法。对于任何社区的给定地图视图(谷歌地图视图,卫星视图等),目的是估计完成监视所需的CCTV监控杆的最小数量及其位置。我们将演示如何将这个问题建模为最小顶点覆盖问题(MVCP)。由于MVC问题是NP-Hard问题,为了有效地处理这一优化问题,我们将采用基于遗传的方法。并将遗传算法的性能与顶点覆盖的自然启发式算法和聪明贪婪算法进行了比较。建模方法以Jharkhand-826004的印度理工学院(印度矿业学院)的大学校园为例进行说明。
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引用次数: 0
PWM Based Charge Controller For Renewable Energy Applications Using SEPIC Converter 基于PWM的SEPIC转换器可再生能源充电控制器
Bhakti B. Baliwant, Ankita R. Gothane, V. Waghmare
In this paper, PWM based charge controller for renewable energy applications using SEPIC converter is presented. The resources of the renewable energy have the low output voltage and high current undulation. For this purpose charge controllers which are based on PWM technique using SEPIC converter is used. SEPIC based converter is used because it has the ability of working in either step-up or step-down method and extensively used in battery operating devices. PWM based charge controller should be applicable to raise the output power which are depending on temperature of panel and on condition of irradiance. Also SEPIC converter is controlled through PWM based charge controller to maintain constant load voltage. To show the effectiveness of the design and validate the method MATLAB simulation is being used.
本文介绍了一种基于PWM的SEPIC变换器可再生能源充电控制器。可再生能源具有输出电压低、电流波动大的特点。为此,采用了基于PWM技术的SEPIC转换器的电荷控制器。基于SEPIC的变换器具有升压和降压两种工作方式,广泛应用于电池工作器件中。基于PWM的电荷控制器可以根据面板温度和辐照度的不同来提高输出功率。另外,SEPIC转换器通过基于PWM的电荷控制器进行控制,以保持负载电压恒定。为了证明设计的有效性和验证方法的MATLAB仿真。
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引用次数: 5
Comparison of SVM an/kNN classifiers for palm movements using sEMG signals with different features 基于不同特征表面肌电信号的手掌运动SVM和/kNN分类器的比较
Ankita Bhusari, N. Gupta, Tanaya Kambli, S. Kulkami
The human-machine interface plays a major role in the development of the prosthetic arm which acts as an immediate rehabilitation for the amputee. Electromyogram (EMG) signals which are signals acquired from muscles require high accuracy in detection, preprocessing, feature extraction and classification which is a challenging task. The main focus of this paper is on how to improve the accuracy by using low cost electrodes so that the overall prosthesis cost can be lowered. Two different classification techniques, Support Vector Machine (SVM) and k- Nearest Neighbor (kNN) are employed and the results are compared to determine which method gives better accuracy. In this paper, classification and analysis is done on surface Electromyogram (sEMG) signals acquired from muscle sensor v3 and datasets available online. The movements to be classified are cylindrical, spherical and lateral. For analysis of the signals , four level wavelet decomposition was used and features such as Standard Deviation (SD),Waveform Length (WL) and Root Mean Square (RMS) were extracted and compared.
人机界面在假肢的发展中起着重要的作用,它可以作为截肢者的即时康复。肌电信号是一种从肌肉中获取的信号,其检测、预处理、特征提取和分类精度要求很高,是一项具有挑战性的任务。本文的研究重点是如何通过使用低成本电极来提高精度,从而降低假肢的整体成本。采用支持向量机(SVM)和k-最近邻(kNN)两种不同的分类技术,并将结果进行比较,以确定哪种方法具有更好的准确率。本文对从肌肉传感器v3和在线数据集获取的表面肌电图(sEMG)信号进行分类和分析。要分类的运动有圆柱形、球形和横向。对信号进行四阶小波分解,提取并比较标准差(SD)、波形长度(WL)和均方根(RMS)等特征。
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引用次数: 5
Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes 多属性异构WSN的功率优化算法
Kumkum Dubey, Adarsh Kumar Yadav, P. Kumar, P. Shekhar, Prince Rajpoot, Shobhit Kumar
Wireless sensor network (WSN) is one of the most emerging areas in research due to widely used applications. WSN can be deployed in remote areas to sense the information. This lead to the impossibility of replacement and recharging of battery. So for maximum collection of information, we need to use the deployed WSN in very efficient way. Clustering is one method to enhance the lifetime of network by reducing the energy consumption during data collection process. In the proposed approach, we have suggested an approach for clustering based on four attributes: cluster head coverage, cluster head lifetime, average distance to CH and maximum power of nodes. The coordination among these attributes selects the optimal Cluster Heads (CHs) so that minimum energy would be consumed during data collection process. The results verifies the superiority of proposed algorithm over base algorithm and LEACH algorithm.
无线传感器网络(WSN)由于其广泛的应用而成为新兴的研究领域之一。无线传感器网络可以部署在偏远地区进行信息感知。这导致电池无法更换和充电。因此,为了最大限度地收集信息,我们需要以非常有效的方式使用部署的WSN。聚类是一种通过减少数据收集过程中的能量消耗来提高网络生命周期的方法。在提出的方法中,我们提出了一种基于四个属性的聚类方法:簇头覆盖率、簇头寿命、到CH的平均距离和节点的最大功率。这些属性之间的协调选择最优簇头(CHs),以便在数据收集过程中消耗最小的能量。结果验证了该算法相对于基算法和LEACH算法的优越性。
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引用次数: 4
Arduino microcontroller based Cashline Security System based on vein recognition Using Dactylography Technology 基于Arduino单片机的基于指纹识别技术的现金线安全系统
M. Rubini, M. Kavisarathi, R. Kaviya, B. P. Kiruba Shankarr, A. Pavithra, R. Praveen
In recent times, Cashline Systems are highly used for most of the bank transactions. Cashline system security is becoming more and more important in all aspects. On other hand the ATM frauds such as Duplicating ATM cards and card skimming were increased. To overcome such frauds dactylography technology is used in the proposed system. The advantage of the dactylography technology results on an entirely card free transaction. Even for the identical twins, the finger vein pattern is matchless. The width of the vein may be changed due to temperature changes or blood pressure but the centre line become stable. Then the extracted line will be used for the future identification purpose. The cashline system is to increase authenticity, confidentiality as well as user trust towards ATM transaction. After the analyzation of finger vein of the authenticated person, the next step is followed by means of the analyzed one’s finger vein matching with the recorded vein pattern of the related banks database. Then high security level GSM module will generate an OTP and sends it to the authorized users mobile then followed by entering the OTP to the ATM machine, the verification is done and then further transaction process is followed.
在最近的时代,现金线系统被高度用于大多数银行交易。现金支付线系统的安全性在各个方面变得越来越重要。另一方面,伪造银行卡、刷卡等ATM诈骗行为有所增加。为了克服这种欺诈,我们在系统中使用了指纹识别技术。指纹技术的优势导致了完全无卡交易。即使是同卵双胞胎,手指的静脉形态也是无与伦比的。静脉的宽度可能会因温度或血压的变化而改变,但中心线是稳定的。然后提取的线将用于未来的识别目的。cashline系统是为了提高ATM交易的真实性、保密性和用户信任度。在对被认证人的手指静脉进行分析后,下一步就是将被分析人的手指静脉与相关银行数据库中记录的静脉模式进行匹配。然后,高安全级别的GSM模块生成一个OTP发送到授权用户的手机上,然后将OTP输入到ATM机,验证完成,然后进行进一步的交易处理。
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引用次数: 0
Machine learning based review on Development and Classification of Question-Answering Systems 基于机器学习的问答系统发展与分类综述
Sayli Uttarwar, Simran Gambani, Tej Thakkar, Nikahat Mulla
Humans seek information continuously. In order to make information access easier, question answering (henceforth mentioned as QA) systems are developed with which user can interact in natural language and obtain relevant response. From using primitive methodologies to making the system intelligent and self-sufficient, many significant research advancements have been made in this domain since the 1960s. In this paper, we present a survey that aims to summarize the developmental trends in implementation of QA systems over the years. The paper mentions research classified under the identified important characteristics of any QA system. Consequently, an attempt is made to get a concise picture of the most current state of research in this domain. Following the review of this research, we have identified some areas having scope for future development like conversational QA systems, enhancing cognitive abilities of QA systems, etc.
人类不断地寻求信息。为了方便信息的获取,人们开发了问答(以下简称QA)系统,用户可以用自然语言进行交互,并获得相应的响应。从使用原始的方法到使系统智能化和自给自足,自20世纪60年代以来,这一领域的研究取得了许多重大进展。在本文中,我们提出了一项调查,旨在总结多年来质量保证系统实施的发展趋势。本文提到了对任何QA系统的重要特征进行分类的研究。因此,本文试图对这一领域的最新研究状况作一个简明的描述。根据这项研究的回顾,我们已经确定了一些有未来发展空间的领域,如对话QA系统,增强QA系统的认知能力等。
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引用次数: 0
A Novel Approach for Blind CFO Estimation in OFDM Systems OFDM系统中盲CFO估计的新方法
Shivkanya Vishnu Doke, K. Sujatha
The wireless communication has effectively contributed to the development of countries like India in last decade. India is looking forward to use the 5G technology to strengthen the present communication infrastructures. The rate of data transfer plays a vital role when we think of a wireless technique for communication. Authors have untaken the experimentation for learning of the carrier frequency offset based on the cyclic prefix. The implemented method is found less complex and robust than the timing synchronization method.
在过去十年中,无线通信有效地促进了印度等国家的发展。印度期待使用5G技术来加强现有的通信基础设施。当我们考虑无线通信技术时,数据传输速率起着至关重要的作用。作者进行了基于循环前缀的载波频偏学习实验。该方法比定时同步方法简单,鲁棒性好。
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引用次数: 0
Single Channel Electromyography Controlled Wheelchair Implemented in Virtual Instrumentation 虚拟仪器实现的单通道肌电控制轮椅
Aadesh Guru Bhakt Dandamudi, Dhage Navaneet Rao, Vijay Padmakar Aravilli, S. R.
The electrical signals that are emerging from our body enables us to connect to countless applications in the field of Human-machine interface and rehabilitation. In this paper, a low-cost human-machine interface (HMI) is implemented which could be of great help for people who have lost their voluntary movements while retaining the cognitive capacity. Hence the only way to assist them is by recording the bio-signals generated from the body and use them to control special medical assisting equipment. Here, a prototype of a wheelchair has been developed using LABVIEW and an Arduino microcontroller that can be actuated by the muscle signals (EMG). The processed signal from the Myoware EMG sensor is given as input to the microcontroller, which depending on the type of signal generated, decides which direction to move on. An attempt has also been made to detect stationary and non-stationary obstacles in the path using an ultrasonic transducer enabled with a smart collision avoidance algorithm, which has been fixed on the wheelchair. Additionally, an anti-theft mode, emergency braking with gyroscope control and a GPS tracking facility has also been incorporated. This single channel EMG controlled wheelchair can also be used to assist and help people affected by partial paralysis or even Quadriplegia with slight modifications.
从我们身体发出的电信号使我们能够连接到人机界面和康复领域的无数应用程序。本文实现了一种低成本的人机界面(HMI),可以极大地帮助那些在保持认知能力的情况下失去自主运动能力的人。因此,帮助他们的唯一方法就是记录身体产生的生物信号,并用它们来控制特殊的医疗辅助设备。在这里,使用LABVIEW和Arduino微控制器开发了一个轮椅的原型,可以由肌肉信号(EMG)驱动。来自myware肌电传感器的处理信号作为输入输入到微控制器,微控制器根据生成的信号类型决定移动的方向。此外,轮椅上还安装了一个带有智能避碰算法的超声波换能器,试图检测路径上的静止和非静止障碍物。此外,防盗模式,紧急制动与陀螺仪控制和GPS跟踪设施也已纳入。这种单通道肌电控制轮椅也可以用来帮助部分瘫痪甚至四肢瘫痪的人。
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引用次数: 4
Line Following Robot Using Image Processing 基于图像处理的线路跟踪机器人
J. Sarwade, Sagar Shetty, Aman Bhavsar, Mahesh Mergu, Ajay Talekar
A line following robot is automated device programmed to follow specific path. Some of existing techniques used in controlling line following robot are by IR sensor, LDR sensors, etc. This research work aims to develop image processing-based line following robot. A camera is used to obtain image of track and then it is converted into bitmap image. Least Square Method is used to follow the predefined path. By calculating slope of line, angle by which robot should turn is determined. Thus, by using image processing technique line following robot is guided along the desired path.
线路跟踪机器人是一种自动装置,通过编程使其沿着特定的路径移动。现有的跟踪机器人控制技术主要有红外传感器、LDR传感器等。本课题旨在开发基于图像处理的直线跟踪机器人。利用摄像机获取轨迹图像,然后将其转换为位图图像。使用最小二乘法跟踪预定义的路径。通过计算直线的斜率,确定机器人转弯的角度。因此,利用图像处理技术将直线跟随机器人引导到期望的路径上。
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引用次数: 5
期刊
2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)
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