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2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)最新文献

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The First Full-size RC Vehicle: Collecting Bangladeshi Road-traffic Data and Doing Research on Autonomous Three Wheeler 第一辆全尺寸RC车辆:收集孟加拉国道路交通数据并对自动三轮车进行研究
Md. Sanzidul Islam
The Autonomous machineries are changing our thinking level day by day. Autonomous driving system is a field of likelihood of computer vision research. The flourished countries has already come to the fore and using semi autonomous driving vehicle. They constructed the driving model as their eco-friendly and with their road traffic data. But in Indian sub-continent countries like Bangladesh, there has a little research work and implementation on it. In our research we have made a full size vehicle where we can set up our sensors, cameras and other hardwares to collect the visual training data to train any kind of vision based autonomous vehicle algorithms. We also proposed a CNN model to classify the real-time objects with our dataset. Finally, tested the trained model using the vehicle in real environment and got expected output. Here we used a rickshaw (Bangladeshi traditional three wheeler) as our base vehicle and use some custom made hardware to full-fill our purpose.
自主机器每天都在改变我们的思维水平。自动驾驶系统可能是计算机视觉研究的一个领域。发达国家已经开始使用半自动驾驶汽车。他们根据自己的环境友好性和道路交通数据构建了驾驶模型。但在印度次大陆国家,如孟加拉国,有一些研究工作和实施。在我们的研究中,我们制造了一辆全尺寸的汽车,在那里我们可以设置传感器、摄像头和其他硬件来收集视觉训练数据,以训练任何基于视觉的自动驾驶汽车算法。我们还提出了一个CNN模型,利用我们的数据集对实时对象进行分类。最后,用车辆在真实环境中对训练好的模型进行了测试,得到了预期的输出结果。在这里,我们使用人力车(孟加拉国传统的三轮车)作为我们的基础车辆,并使用一些定制的硬件来完成我们的目的。
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引用次数: 0
Bengali Ethnicity Recognition and Gender Classification using CNN & Transfer Learning 使用CNN和迁移学习的孟加拉民族识别和性别分类
M. Jewel, Md. Ismail Hossain, Tamanna Haider Tonni
In this paper, we have demonstrated how to apply CNN (Convolutional Neural Network) structured model and transfer learning to identify the ethnicity of Bengali people and it's a systematic process of gender classification too. We also applied several models of transfer learning like VGG16, Mobilenet, Resnet50, etc. to find out which model is more convenient to get our desired accuracy. But problems arise because there are many Indian people who look like and get dressed up like Bengali since in India many Bengali dwell in when many of them speak Bangla as well! (people of Kolkata along with some other provinces). So, the Bengali people are not only found in Bangladesh but also elsewhere in the world. That's why our model is based on facial images along with the tradition of their costumes. We tried to build a sophisticated model using CNN and transfer learning for this purpose and we got some tremendous performances applying transfer learning.
在本文中,我们展示了如何应用CNN(卷积神经网络)结构化模型和迁移学习来识别孟加拉人的种族,这也是一个系统的性别分类过程。我们还应用了VGG16, Mobilenet, Resnet50等几种迁移学习模型,看看哪种模型更方便得到我们想要的精度。但是问题出现了,因为有许多印度人看起来像孟加拉人,穿着像孟加拉人,因为在印度有许多孟加拉人居住,而他们中的许多人也说孟加拉语!(加尔各答和其他一些省份的人)。因此,孟加拉人不仅在孟加拉国,而且在世界其他地方都有。这就是为什么我们的模型是基于面部图像和他们的传统服装。为此,我们尝试使用CNN和迁移学习建立一个复杂的模型,应用迁移学习我们获得了一些惊人的表现。
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引用次数: 4
An Approach for Solving the Graph Coloring Problem using Adjacency Matrix 利用邻接矩阵求解图着色问题的一种方法
Charu Negi, A. Shukla
Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the graph G in such a manner so that any two adjacent vertices do not get the similar color. This problem also requires that the number of colors that are used for coloring the graph are also minimum. There are several ways in which a graph can be presented. For example an adjacency matrix. In our paper we have used adjacency matrix to showcase the graph coloring solution. An adjacency matrix is a 2 dimensional array. The rows and columns of this array are therefore can also be called as the vertices of the graph. The value 0 indicates that the vertex on × row and y column is not connected. However if the value is 1 it indicates that the vertex on × row and y column are connected to each other. We have proposed an algorithm using which we calculate the diagonal values that is for which × row and y column value is same. These will represent the final colors allocated to the vertices.
图的着色是图论中一个众所周知的经典问题。这也是一个已知的NP问题。在图G中,图上色的解决方法是对图G的所有顶点上色,使任意两个相邻顶点的颜色不相似。这个问题还要求用于给图上色的颜色数量也最少。有几种表示图形的方法。例如邻接矩阵。在我们的论文中,我们使用邻接矩阵来展示图的着色解决方案。邻接矩阵是一个二维数组。因此,这个数组的行和列也可以称为图的顶点。值为0表示x行和y列上的顶点没有连接。但是,如果该值为1,则表示x行上的顶点和y列上的顶点相互连接。我们提出了一种算法,用它来计算x行和y列值相同的对角线值。这些将表示分配给顶点的最终颜色。
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引用次数: 0
Implementation of Exoactive Management Model for Urbanized Area: Real-Time Monitoring and Proactive Planning 城市化区域化管理模式的实施:实时监控与前瞻性规划
D. Parygin
The paper discusses new approaches to the management of urban areas. The concept of exoactive management is proposed. The “Functional Reactor” model of exoactive management is described. The components of the regulatory block of such a model are considered in detail. The concept of proactive planning is introduced. The approach to building decision-making support systems based on proactive urban computing is described to put the proposed concept into practice. The approach includes representing the tasks of urban management as active agents. The tasks of collecting and evaluating information about ongoing events as part of a comprehensive real-time monitoring of urban processes are considered. Problem solving in the transport system management is given as an example of the application of the proposed DMSS and proactive urban computing methodology.
本文探讨了城市区域管理的新途径。提出了外向管理的概念。介绍了外源管理的“功能反应器”模型。详细考虑了这种模型的监管块的组成部分。引入了主动规划的概念。本文描述了建立基于主动城市计算的决策支持系统的方法,以将所提出的概念付诸实践。该方法包括将城市管理任务表示为主动代理。将收集和评估正在进行的事件的信息作为城市进程全面实时监测的一部分的任务加以考虑。以交通系统管理中的问题解决为例,介绍了DMSS和前瞻性城市计算方法的应用。
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引用次数: 4
A Conceptual Design to Encourage Sustainable Grocery Shopping: A Perspective in Bangladesh 鼓励可持续购物的概念设计:孟加拉国的视角
A. Sattar, Md. Shohel, Fahima Sultana Banni, Amit Kumar Bala Antu
Grocery shopping is a frequent event on our life that has a great impact on climate change and direct connection with health issues. The purchases of organic and healthy foods are increasing but still, we could not make any breach between our customer's awareness and feasting of environment-friendly healthy foods. This paper aims at providing information about products and helps consumers understand their food for making a better choice for their health and environment. We designed a system that provides information on nutritional values and the environmental impact of foods and advice users to make a food choice. It also keeps track of monthly grocery expenditure and shows how much of it is healthy and eco-friendly. The system works by scanning QR codes and AR markers that are embedded with the products. It will be a perfect assistant for grocery shopping for consumers of any age.
杂货店购物是我们生活中经常发生的一件事,对气候变化有很大影响,并与健康问题直接相关。有机食品和健康食品的购买量越来越大,但我们仍然不能让顾客对环保健康食品的认识和享受有任何差距。这篇论文的目的是提供产品信息,帮助消费者了解他们的食物,为他们的健康和环境做出更好的选择。我们设计了一个系统,提供有关食物的营养价值和环境影响的信息,并建议用户做出食物选择。它还记录每月的杂货支出,并显示其中有多少是健康和环保的。该系统通过扫描嵌入产品的QR码和AR标记来工作。对于任何年龄的消费者来说,它都将是购物的完美助手。
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引用次数: 1
An Overview of Fog Computing in the Present Scenario 当前场景中的雾计算概述
P. Verma, Charu Negi
With the advent of various technologies, the cloud computing has become one of the most popular research topics. Cloud computing is very important because it allows to converge a set of technologies at a convenient go. Cloud Computing is ubiquitous given the emerging technologies such as edge and fog computing. We have studied various research papers to compile and bring forth the application and challenges that are currently present in the implementation. This review paper describes the setup of a fog and briefly touches the benefits of the fog computing. We have also described the use of fog computing with respect to the Smart cities concept.
随着各种技术的出现,云计算已经成为最热门的研究课题之一。云计算非常重要,因为它可以方便地融合一组技术。考虑到边缘计算和雾计算等新兴技术,云计算无处不在。我们研究了各种研究论文来汇编和提出目前在实施中存在的应用和挑战。这篇综述文章描述了雾的设置,并简要介绍了雾计算的好处。我们还描述了雾计算在智慧城市概念中的应用。
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引用次数: 0
VR Simulators for Teaching Rapid Prototyping and Material Processing Techniques 用于教学快速原型和材料加工技术的VR模拟器
A. Matokhina, S. Dragunov, D. Volodina, R. Fokin
Trends in modern education, especially in the field of continuing education and secondary special education, are aimed at the rapid development of skills and the acquisition of professional competencies. Reducing the duration of educational programs to six months leads to the need to apply new educational technologies. Specialties associated with the study of the principles of work with high-tech equipment, such as milling and turning machines with numerical control, 3D printers, machines for laser engraving and cutting, require additional training before admission to the equipment. The use of augmented and virtual reality tools to develop skills in working with high-tech equipment can significantly reduce training time, improve the quality of training and significantly reduce students' possible mistakes when working with equipment, which can lead to breakdown of the equipment itself and risks associated with the student's health. The article discusses virtual simulators for developing skills of rapid prototyping and processing of materials. The simulator allows you to study the components of numerically controlled machines, laser engravers, and 3D printers, get acquainted with the principle of their work, learn the features of working with different materials, the finer settings of the machines, as well as the rules for the maintenance of machines. The article describes the principles of the simulator and the process of their design and development, describes the composition of the geometric models of simulators, job options and scenarios of the simulators. An example of the simulator.
现代教育的趋势,特别是在继续教育和中等特殊教育领域,旨在迅速发展技能和获得专业能力。将教育项目的持续时间减少到六个月导致需要应用新的教育技术。与研究高科技设备工作原理相关的专业,如数控铣床和车床,3D打印机,激光雕刻和切割机器,在进入设备之前需要额外的培训。使用增强现实和虚拟现实工具来培养使用高科技设备的技能,可以大大缩短培训时间,提高培训质量,并大大减少学生在使用设备时可能出现的错误,这些错误可能导致设备本身发生故障,并给学生的健康带来风险。本文讨论了虚拟模拟器对材料快速成型和加工技能的培养。该模拟器可让您学习数控机床,激光雕刻机和3D打印机的组件,熟悉其工作原理,学习不同材料的工作特点,机器的精细设置,以及机器的维护规则。本文介绍了仿真器的原理及其设计开发过程,描述了仿真器几何模型的组成、工作选择和仿真器的场景。模拟器的一个例子。
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引用次数: 0
Role of Internet of Things in Shaping Cities of Rajasthan as Smart Cities 物联网在拉贾斯坦邦智慧城市建设中的作用
Lokesh Pawar, Gaurav Bathla, M. Malhotra, Gulista Khan
There has been much talk about ‘Smart’ or ‘intelligent’ cities these days. All around the world government officials, administrators and technocrats are working as a team to design an intelligent city that will provide an easy and better life to the people living there. As now there is Smart Cities Mission is going on the cities which are declared by the government. Smart City Mission, is an urban renewal and retrofitting program by the Government of India with the mission to develop 100 cities across the country making them citizen friendly and sustainable. According to my survey on Smart cities of State Rajasthan a big role was played by telecommunication, internet, Road Transportation, Railways including Metro in Jaipur and also Physical as well as Cyber securities.
最近有很多关于“智能”或“智能”城市的讨论。世界各地的政府官员、行政管理人员和技术专家正在组成一个团队,设计一个智能城市,为居住在那里的人们提供更舒适、更美好的生活。现在,智能城市任务正在政府宣布的城市中进行。智慧城市使命是印度政府的一项城市更新和改造计划,其使命是在全国范围内开发100个城市,使其成为公民友好和可持续发展的城市。根据我对拉贾斯坦邦智能城市的调查,电信、互联网、公路运输、铁路(包括斋浦尔的地铁)以及物理和网络安全发挥了重要作用。
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引用次数: 1
Synchronous Link Converter based Scheme of Harmonic Filtration for Non-Linear Load 基于同步链路变换器的非线性负载谐波滤波方案
Khushboo Chaturvadi, G. Goswami, Deepika Chauhan
Interference due to harmonics, and generated current distortions by power electronic devices, has become a serious problem in present time. As now a days converters, which are nonlinear devices, are more and more frequently used in industrial applications, in transmission and distribution systems and in power plants. The use of non linear load by industrial or commercial purpose generates harmonic distortion, poor power factor, voltage instability, imbalance impact on the efficiency of electrical equipments in our system. The most suitable way to solve these problems is the introduction of synchronous link converter for power quality analysis for non linear loads. This paper presents the use of SLC to overcome these problems[11]. Fast Fourier transforms describe the total harmonic distortions (THD) in the line current for given non-linear system. PID controller is used here to control the action of active power filter according to required current generation, which is to be injected in distorted supply current to make it sinusoidal. The models are designed and simulated using MATLAB/SIMULINK software.
电力电子设备的谐波干扰和产生的电流畸变已成为当今社会面临的一个严重问题。如今,变流器作为一种非线性器件,越来越多地应用于工业、输配电系统和电厂中。工业或商业用途使用的非线性负载会产生谐波失真、功率因数差、电压不稳定、不平衡等问题,影响系统中电气设备的效率。解决这些问题最合适的方法是引入同步链路变换器进行非线性负载的电能质量分析。本文提出使用SLC来克服这些问题[11]。对于给定的非线性系统,快速傅里叶变换描述了线路电流中的总谐波畸变。本文采用PID控制器控制有源电力滤波器根据需要产生的电流来控制有源电力滤波器的动作,将产生的电流注入畸变的电源电流中,使之呈正弦。利用MATLAB/SIMULINK软件对模型进行了设计和仿真。
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引用次数: 0
A Convolutional Neural Network Approach to Recognize the Insect: A Perspective in Bangladesh 一种卷积神经网络方法来识别昆虫:在孟加拉国的观点
Md. Imran Hossain, Bidhan Paul, A. Sattar, M. Islam
In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic pest detection and identification can ensure excellent productivity. This would be a fulfil research in the technical area of computer vision. The dataset is typically random cropping of square size images together with grayscale color and brightness shifts are used here. Here Convolutional Neural Network (CNN) will be used to do the image recognition and the algorithm will provide an optimal architecture for image recognition. The big idea behind CNNs is that a local understanding of an image is good enough. The research contains the proportions of validation accuracy of 93.46%. This approach resulted in the agriculture sector that will help a farmer to recognize the insect from harvest. The computer vision and object recognition can be used with image processing to create an interactive and enlarge user experience of the real world. This research aims to demonstrate the possibility and test the performance of the project which only focuses on insect detection in crop plants that recognize the pest which can help a farmer to get immediate solution of harvest problem.
在孟加拉国,由于缺乏害虫检测知识,每年都有大量农产品被害虫摧毁。正如我们所知,手工识别对农民来说是很困难的。因此,经典的害虫检测和鉴定可以确保卓越的生产力。这将是计算机视觉技术领域的一项有意义的研究。数据集通常是随机裁剪方形大小的图像,这里使用灰度颜色和亮度偏移。这里将使用卷积神经网络(CNN)进行图像识别,该算法将为图像识别提供最佳架构。cnn背后的大想法是,对图像的局部理解已经足够好了。本研究包含的验证正确率比例为93.46%。这种方法的结果是农业部门将帮助农民从收获中识别昆虫。计算机视觉和物体识别可以与图像处理一起使用,以创建一个交互式的,扩大现实世界的用户体验。本研究旨在证明该项目的可行性和测试性能,该项目只关注农作物的害虫检测,识别害虫,可以帮助农民立即解决收获问题。
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引用次数: 8
期刊
2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)
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