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2020 International Conference on Computational Performance Evaluation (ComPE)最新文献

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Quantification of regenerative braking energy in a two-wheeler incorporating various duty cycles 结合不同占空比的两轮车再生制动能量的量化
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200012
Satvik Sabarad, Shubham Gupta
With a massive leap of increment in overall energy efficiency through the paradigm shift from internal combustion engine vehicles to electric vehicles (EVs), people have evolved their ways to make the transition towards sustainable transportation. Regenerative braking in the automobiles is considered as one of the efficient ways to recover the energy wasted during braking of a vehicle. It is also a practical approach for EVs to extend their driving range. The energy accumulated due to regenerative braking heavily depends on the driving style and traffic conditions. There is much research done in the past related to regenerative braking but inculcation of driving style and traffic conditions in the quantification of energy is limited. The originality of this study is to determine if the regenerative braking is effective for an electric vehicle over a particular duty cycle. This work presents a physical data acquisition setup, which consists of various sensors, data recorders, and micro-controllers that acquire the driving data like velocities at different instances, coasting distance and duration from the vehicle. This work also proposes a mathematical model that uses the acquired data to quantify the amount of energy generated over a duty cycle in a particular electric vehicle. Currently, a two-wheeler electric bike is considered for the quantification of regenerated braking energy over various duty cycles viz. urban, semi-urban, and highway driving. The physical setup and the process of quantification can be extended to various electric vehicles to quantify the regenerative braking energy over different duty cycles. A different approach of energy conservation method is demonstrated for the development of the mathematical model to accurately quantify the regenerated braking energy. This work also focuses on the comparison of energy generated due to regenerative braking between a two-wheeler electric and internal combustion vehicle.
随着从内燃机汽车到电动汽车的范式转变,整体能源效率大幅提升,人们已经进化出了向可持续交通过渡的方式。汽车再生制动被认为是回收汽车制动过程中所浪费能量的有效途径之一。这也是电动汽车延长行驶里程的一种实用方法。再生制动所积累的能量在很大程度上取决于驾驶方式和交通状况。以往对再生制动进行了大量的研究,但在能量量化中对驾驶方式和交通状况的灌输是有限的。这项研究的原创性是确定再生制动是否有效的电动汽车在一个特定的占空比。这项工作提出了一个物理数据采集装置,它由各种传感器、数据记录器和微控制器组成,可以获取驾驶数据,如不同情况下的速度、滑行距离和车辆持续时间。这项工作还提出了一个数学模型,该模型使用获得的数据来量化特定电动汽车在一个占空比上产生的能量。目前,在城市、半城市和高速公路行驶中,两轮电动自行车被考虑用于量化再生制动能量。物理设置和量化过程可以扩展到各种电动汽车,以量化不同占空比下的再生制动能量。采用一种不同的能量守恒方法建立了精确量化制动再生能量的数学模型。这项工作还侧重于两轮电动汽车和内燃汽车之间再生制动产生的能量的比较。
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引用次数: 2
Framework for FOGIoT based Smart Video Surveillance System (SVSS) 基于FOGIoT的智能视频监控系统框架
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200153
Ketanpreet Kaur, Vikrant Sharma, M. Sachdeva
In this ever updating digitalized world, everything is connected with just few touches away. Our phone is connected with things around us, even we can see live video of our home, shop, institute or company on the phone. But we can’t track suspicious activity 24*7 hence needed a smart system to track down any suspicious activity taking place, so it automatically notifies us before any robbery or dangerous activity takes place. We have proposed a framework to tackle down this security matter with the help of sensors enabled cameras(IoT) connected through a FOG layer hence called FOGIoT which consists of small servers configured with Human Activity Analysis Algorithm. Any suspicious activity analyzed will be reported to responsible personnel and the due action will be taken place.
在这个不断更新的数字化世界里,只需几下触摸,一切都连接在一起。我们的手机与我们周围的事物相连,甚至我们可以在手机上看到我们的家、商店、研究所或公司的实时视频。但是我们不能24*7跟踪可疑活动,因此需要一个智能系统来跟踪任何可疑活动,所以它会在任何抢劫或危险活动发生之前自动通知我们。我们提出了一个框架来解决这个安全问题,借助传感器支持的摄像头(IoT),通过FOG层连接,因此称为FOGIoT,它由配置了人类活动分析算法的小型服务器组成。分析的任何可疑活动都将报告给相关人员,并采取相应的行动。
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引用次数: 0
Feature Selection and Implementation of IDS using Boosting algorithm 基于boost算法的入侵检测特征选择与实现
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200072
Utpal Shrivastava, Neelam Sharma
Monitoring of the data traffic is done by Intrusion detection system (IDS) in the network and identify possibility of attacks with can cause harm in the network. The growing digital age where so many host are connected to network and digital transaction take place, it becomes important to secure one’s data in the network. In the proposed work, NSL-KDD train dataset in ration 8:2 is used to train and test a model. To identify the impact of different set of dataset features considered by comparing the accuracy calculated.
入侵检测系统(IDS)对网络中的数据流量进行监控,识别出可能对网络造成危害的攻击。随着数字时代的发展,越来越多的主机连接到网络,数字交易的发生,网络数据的安全变得越来越重要。在本文中,使用比例为8:2的NSL-KDD训练数据集对模型进行训练和测试。通过比较所考虑的不同数据集特征对计算精度的影响来识别。
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引用次数: 0
Augmented Reality in Tracking the Surface Geometry Change of Cultural Heritage Objects 增强现实技术在文物表面几何变化跟踪中的应用
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200041
Sunita Saha, A. Papanikolaou, J. Martusewicz, R. Sitnik
Augmented reality is a field of presenting and visualizing the real-world problem enhanced by computer-generated algorithms. The computer-generated perceptual information becomes a premier research topic to solve various 3D problems. In this present age, it is very important to digitize the process of work and store it to keep track of the changes over time. This work is focused on storing digital documentation of the restoration of cultural heritage objects concerning the parameter of occurrences of surface geometry change on the surface of the objects. The paper shows the application of structured light techniques to the analysis of a cultural heritage object during restoration. In order to detect and visualize changes a global geometry analysis was applied and presented the outcome through a global distance histogram. The study also includes the discussion of facing possible challenges during the development of the algorithms for the change analysis.
增强现实是一个通过计算机生成的算法来呈现和可视化现实世界问题的领域。计算机生成的感知信息成为解决各种三维问题的首要研究课题。在当今时代,将工作过程数字化并存储以跟踪其随时间的变化是非常重要的。这项工作的重点是存储有关文物表面几何变化发生参数的文物修复数字文件。本文介绍了结构光技术在文物修复分析中的应用。为了检测和可视化变化,应用了全局几何分析,并通过全局距离直方图表示结果。该研究还包括在变化分析算法开发过程中面临的可能挑战的讨论。
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引用次数: 0
Design & Implementation of a Micro-Controller based Home Appliances Controlling with Dual Verification Application System 基于单片机的家电双验证控制应用系统的设计与实现
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200081
Mohammad Zeyad, S. M. Masum Ahmed, MD. Maruf, Md. Shehzad, Md. Abul Ala Walid
This paper shows such a form of protected remote control framework based on Microcontroller (ATmega328p) that will operate via an Android cell phone Application and offers powerful protection to secure home appliances from unwanted users. The intended application’s name is ‘HACA (Home Appliances Controlling Application)-App’. At first, to operate the app, Wi-Fi/Bluetooth/Mobile Data is needed to connect with the app. The user will set the password as per own will. Additionally, the user can change the password at any time. A dual password verification system will be included in the application as well as the system. After the password setting, the software should be ready to use to monitor the timing of the loading of home appliances ON/OFF. Through using this smartphone app the load could be managed without using any switches. No need for a manual fan speed controller as the fan speed can be controlled through the HACA mobile app. Although, user can control the selected home appliances through the system by using the app from any room of the flat. Moreover, remote control of these selected appliances will be performed through Bluetooth or Mobile Data or with Wi-Fi is accommodated in the system. Besides, accidentally keeping lights and fans ON can be stopped easily by using this device from anywhere. By doing this the loss of the electricity consumption can be prevented. The App aims to make human lives standard and prevent the loss of electricity consumption which will make humans daily life more comfortable.
本文介绍了一种基于微控制器(ATmega328p)的受保护远程控制框架,该框架将通过Android手机应用程序运行,并为保护家用电器免受不受欢迎的用户提供强大的保护。预期应用程序的名称是“HACA(家用电器控制应用程序)-应用程序”。首先,要操作应用程序,需要Wi-Fi/蓝牙/移动数据连接到应用程序,用户将根据自己的意愿设置密码。此外,用户可以随时更改密码。应用程序和系统将包括双重密码验证系统。密码设置完成后,软件就可以用来监控家用电器ON/OFF的加载时间。通过使用这款智能手机应用程序,可以在不使用任何开关的情况下管理负载。不需要手动风扇转速控制器,因为风扇转速可以通过HACA移动应用程序进行控制。尽管用户可以在公寓的任何房间通过应用程序通过系统控制所选的家电。此外,这些选定设备的远程控制将通过蓝牙或移动数据或Wi-Fi在系统中被容纳。此外,不小心开着灯和风扇可以很容易地停止使用这个设备从任何地方。通过这样做,可以防止电力消耗的损失。这款App旨在让人类的生活更规范,防止耗电量的损失,让人类的日常生活更舒适。
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引用次数: 3
Map-Based Particle Filter for Localization: Autonomous Vehicle 基于地图的粒子滤波定位:自动驾驶汽车
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200067
Supriya Katwe, N. Iyer
The main task in navigation of an autonomous vehicle is to have accurate and robust localization. There are variety of localization techniques in study using particle filter; for localization with or without using map information in the measurements. There is a lack of study in localization methods employing map data in particle filter. This paper summarizes the localization techniques that use map information in particle filter for estimation. The study of various literature in the particle filter for localization using map data shows that, accurate and robust localization can be achieved for an autonomous vehicle provided the map to be used in the measurements is constructed precisely with the necessary features like road curbs, edges, trajectories etc.
自动驾驶汽车导航的主要任务是实现准确、鲁棒的定位。利用粒子滤波进行定位研究的方法多种多样;在测量中使用或不使用地图信息进行定位。在粒子滤波中利用地图数据进行定位的方法研究较少。本文综述了在粒子滤波中利用地图信息进行估计的定位技术。对利用地图数据进行粒子滤波定位的各种文献的研究表明,只要在测量中使用的地图精确地构建了必要的特征,如路缘、边缘、轨迹等,就可以实现自动驾驶汽车的精确和鲁棒定位。
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引用次数: 2
A Genetic Algorithm based Approach for the Optimization of Multiple Sequence Alignment 基于遗传算法的多序列比对优化方法
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200060
A. Mishra, Dr. Brijesh Kumar Tripathi, Sudhir Singh Soam
Multiple sequence alignment (MSA) is an elementary task of bioinformatics where the alignment of three or more biological sequences is produced in a way that helps to identify the homologous regions in the sequences. This research paper proposes a genetic algorithm-based optimization approach that can enhance the value of multiple sequence alignment (MSA) generated by the progressive technique. Mutation operators like gap insertion mutation and gap removal mutations are applied to enhance the value of the MSA obtained by the progressive technique of alignment.
多序列比对(MSA)是生物信息学的一项基本任务,其中三个或多个生物序列的比对有助于识别序列中的同源区域。本文提出了一种基于遗传算法的优化方法,该方法可以提高渐进式技术生成的多序列比对(MSA)值。利用间隙插入突变和间隙移除突变等突变算子,提高了渐进式比对技术得到的MSA值。
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引用次数: 1
Depletion Width Modelling of Surrounded Channel Junctionless Field Effect Transistor 包围沟道无结场效应晶体管耗尽宽度模型
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200004
N. Das, Kaushik Chandra Deva Sarma
A theoretical process of obtaining depletion width for surrounded channel Junction less field effect transistor is presented. Solution of 1-D Poisson’s equation under partial depletion leads to development of depletion width model. An analysis on how depletion width values varies with applied gate field, gate dielectric thickness, gate dielectric materials and channel position is also performed.
提出了一种计算无包围沟道结场效应晶体管耗尽宽度的理论方法。局部耗竭条件下一维泊松方程的求解导致耗竭宽度模型的发展。分析了损耗宽度值随外加栅极场、栅极介电厚度、栅极介电材料和通道位置的变化规律。
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引用次数: 0
Interference Model for NMDA Receptor NMDA受体干扰模型
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200144
Bolivia Konthoujam, Satyabrat Malla Bujar Baruah, Soumik Roy
Synapse is the point of impulse conduction between neurons. After receiving action potential at the axonal terminal, the presynaptic neuron releases neurotransmitter chemicals to the postsynaptic neuron. The agonist molecules bind to the receptors of the postsynaptic neuron and change its functions. The proposed work is centered on interference in two synaptic system due to mobility of NMDA neurotransmitter with probability of leaking to the nearby synapse. Such leaky event of neurotransmitters from one synapse to nearby synapses could contribute either positively or negatively, depending on the type of ion channels it opens. The proposed model suggests change in amplitude and strength of the post-synaptic received signal significantly depends upon this leaky parameter. The model suggests increase in leakage of NMDA neurotransmitter results in lowered depolarization of post-synaptic potential and increased depolarization in nearby post-synapse and vice versa.
突触是神经元之间的脉冲传导点。在轴突末端接受动作电位后,突触前神经元向突触后神经元释放神经递质化学物质。激动剂分子与突触后神经元的受体结合并改变其功能。本研究的重点是NMDA神经递质的移动性对两个突触系统的干扰,这种干扰可能会泄漏到附近的突触。这种神经递质从一个突触渗漏到附近的突触,可能是积极的,也可能是消极的,这取决于它打开的离子通道的类型。所提出的模型表明突触后接收信号的振幅和强度的变化很大程度上取决于这个泄漏参数。该模型表明,NMDA神经递质渗漏增加导致突触后电位去极化降低,附近突触后电位去极化增加,反之亦然。
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引用次数: 0
Undoped Junctionless Field Effect Transistor 无掺杂无结场效应晶体管
Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200000
A. K. Raibaruah, Angshumala Talukdar, Kaushik Chandra Deva Sarma
We present here characteristics study of an undoped Double gate Junctionless field effect transistor (UnDGJLFET). The body of the device is intrinsic in nature. A comparative simulation study on electrical performance of the undoped DGJLFET and a DGJLFET with a doping concentration of 1019/cm3 has been done in TCAD. The study shows that the UnDGJLFET exhibits much lower subthreshold swing and higher threshold voltage than the doped one. However due to less number of charge carriers the on current is much lower for the UnDGJLFET compared to that of doped JLFET.
本文研究了一种无掺杂双栅无结场效应晶体管(UnDGJLFET)的特性。装置的本体本质上是固有的。在TCAD中对未掺杂DGJLFET和掺杂浓度为1019/cm3的DGJLFET的电学性能进行了对比仿真研究。研究表明,与掺杂的晶体管相比,UnDGJLFET具有更低的亚阈值摆幅和更高的阈值电压。然而,由于较少的载流子数量,与掺杂的JLFET相比,UnDGJLFET的导通电流要低得多。
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引用次数: 1
期刊
2020 International Conference on Computational Performance Evaluation (ComPE)
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