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Performance Comparison of Image Processing Techniques on Various Filters: A Review 各种滤波器图像处理技术的性能比较综述
Pub Date : 2021-07-01 DOI: 10.4018/IJSPPC.2021070103
Shweta Singh, Ayush J. Sharma, Alankrita Aggarwal
Image processing plays a crucial role in a large number of applications including fields of medical, watermarking in images, spatial data analysis applications. When images are static, generally, users can get good performance, though processing of real-time images are dependent on various parameters like efficacy of algorithm and filtering techniques. Researchers have observed high variation in performance during processing of real-life images; therefore, efficient filtering techniques play a vital role in determining the implemented processing algorithm's performance as well as the quality of captured images taken into consideration. Thus, the focus of this study is to discuss various widely used filtering techniques and efficient performance analysis in outdoor environmental scenarios. A real-time efficiency system is made to conclude each filter type's effectiveness in different environmental conditions with comparison and evaluation, highlighting merits and demerits of different algorithms based on application needs along with external factors.
图像处理在医学、图像水印、空间数据分析等领域的大量应用中起着至关重要的作用。当图像是静态时,用户通常可以获得较好的性能,但实时图像的处理取决于算法的有效性和滤波技术等各种参数。研究人员观察到,在处理现实生活中的图像时,表现存在很大差异;因此,有效的滤波技术在决定所实现的处理算法的性能以及所考虑的捕获图像质量方面起着至关重要的作用。因此,本研究的重点是讨论各种广泛使用的过滤技术和在室外环境场景下的高效性能分析。构建实时效率系统,根据应用需求和外部因素,总结各种类型过滤器在不同环境条件下的有效性,并进行比较和评价,突出不同算法的优缺点。
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引用次数: 0
COVID-19: Impact and Need for Post-Pandemic Crowd Safety - A Review 2019冠状病毒病:大流行后人群安全的影响和需求综述
Pub Date : 2021-07-01 DOI: 10.4018/IJSPPC.2021070101
Pranav Taneja, Manan Arora, Abhay Mendiratta, Alankrita Aggarwal, Shailender Kumar
The world is going through one of the worst pandemics ever seen. After concurrent lockdowns, as the government is easing out, more people are on the verge of risking their lives. This leads to a need for a system that not only provides a user with relevant updates regarding this disease but is essentially a useful tool that can be used to provide a safest path between a source and a destination. Most of the people now are equipped with smart devices. Since the spread is nowhere near its termination and the world is having a lot of breakdowns be it in the form of economic disruption or sociological imbalance due to this, though the government is already working hard on detecting and declaring hotspot zones, there is no real-time evaluation of potentially crowded zones that can be a source of disease synthesis too. There is a need for a system that can notify its users regarding any kind of potentially harmful zones, and since getting on the road is more than a necessity now, a safe route provisioning system is also a dire need of the situation in order to stop the spread.
世界正在经历有史以来最严重的流行病之一。在同时实施封锁之后,随着政府的放松,更多的人处于冒着生命危险的边缘。这导致需要一个系统,不仅向用户提供有关该疾病的相关更新,而且本质上是一个有用的工具,可用于在源头和目的地之间提供最安全的路径。现在大多数人都配备了智能设备。由于疫情蔓延远未结束,世界上出现了许多经济中断或社会失衡的问题,尽管政府已经在努力发现和宣布热点地区,但对可能成为疾病综合来源的潜在拥挤地区没有进行实时评估。需要有一个系统,可以通知用户任何潜在的有害区域,因为现在不仅仅是必要的,为了阻止传播,一个安全的路线供应系统也是迫切需要的。
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引用次数: 0
Low Power Restoration Circuits Reduce Swing Voltages of SRAM Cell With Improved Read and Write Margins 低功耗恢复电路降低SRAM单元的摆动电压,提高读写空间
Pub Date : 2021-04-01 DOI: 10.4018/ijsppc.2021040102
Vinod Kumar, Ram Murti Rawat
This paper examines the factors that affect the static noise margin (SNM) of static random access memories which focus on optimizing read and write operation of 8T SRAM cell which is better than 6T SRAM cell using swing restoration for dual node voltage. New 8T SRAM technique on the circuit or architecture level is required. In this paper, comparative analysis of 6T and 8T SRAM cells with improved read and write margin is done for 130nm technology with cadence virtuoso schematics tool.
本文研究了影响静态随机存取存储器静态噪声裕度(SNM)的因素,重点研究了采用双节点电压摆幅恢复优化8T SRAM单元的读写操作,使其优于6T SRAM单元。需要新的8T SRAM技术在电路或架构层面。本文利用cadence virtuoso原理图工具,对130nm工艺下读写余量提高的6T和8T SRAM单元进行了对比分析。
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引用次数: 0
Optimal Cloud Service Provider Selection Based on QoS Metrics 基于QoS指标的最优云服务提供商选择
Pub Date : 2021-04-01 DOI: 10.4018/ijsppc.2021040101
T. Arunambika, P. SenthilVadivu
There are thousands of providers obtainable in the market, and more and more are being added to the service list every day. All of these providers claim that the services given to them are distinctive and hassle-free. To check their claim, the cloud service broker (CSB) verifies the quality of service (QoS) of the cloud service providers (CSPs) and the level of user needs. Depending on the requirements of the cloud consumer (CC), CSB allocates a CSP to it. This paper proposed optimal cloud service provider selection (OCSPS) based on QoS metrics. The CC would handovers the demand to the CSB for optimal CSP selection using QoS. Once the CSP selection process is complete, the outcomes would become back to the CC. Entire demands created to CCs are saved in the request buffer (RB) in the CSB. When a specific request is fulfilled, the subsequent demand would take from this RB. The experimental result shows that the proposed OCSPS algorithm takes less time for CSP ranking and optimal CSP selection.
市场上有成千上万的提供商,而且每天都有越来越多的提供商加入到服务列表中。所有这些供应商都声称,提供给他们的服务是独特的,没有麻烦。为了检查他们的声明,云服务代理(CSB)验证云服务提供商(csp)的服务质量(QoS)和用户需求的级别。根据云消费者(CC)的需求,CSB为其分配一个CSP。提出了基于QoS指标的最优云服务提供商选择(OCSPS)方法。CC将需求移交给CSB,以便使用QoS进行最佳的CSP选择。一旦CSP选择过程完成,结果将返回给CC。创建给CC的所有需求都保存在CSB的请求缓冲区(RB)中。当一个特定的请求得到满足时,后续的需求将从这个RB获取。实验结果表明,提出的OCSPS算法在CSP排序和最优CSP选择上花费了较少的时间。
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引用次数: 0
Isolated Site Wind System Start-Up System 隔离现场风系统启动系统
Pub Date : 2021-04-01 DOI: 10.4018/ijsppc.2021040103
Lema Gharsellaoui, M. Ghariani
The abundant energy available in nature can be harnessed and converted to electricity in a sustainable way to supply the necessary power to elevate the living standards of the people without access to the electricity grid. Wind power is one of the cleanest and safest of all the renewable commercial methods of generating electricity. However, wind energy is difficult to use due to its stochastic variability. Energy storage can overcome the main drawback. This article consists of studying a wind starting system based on DFIG and operating in isolated mode. This system is formed by a bank of batteries and a bidirectional DC/DC converter charging a DC bus voltage as well as these batteries. The control of this system required a cascade control. Such control needs two loops: the inside loop to control the inductive current and the outside one for continuous voltage bus. The theoretical study of this command has been validated using PSIM software.
我们可以利用自然界中丰富的能源,并以可持续的方式将其转化为电力,为没有电网的人们提供必要的电力,以提高他们的生活水平。风力发电是所有可再生商业发电方式中最清洁、最安全的一种。然而,风能由于其随机可变性而难以利用。能量储存可以克服主要的缺点。本文研究了一种基于DFIG隔离运行的风起动系统。该系统由一组电池和一个双向DC/DC转换器组成,该转换器为直流母线电压和这些电池充电。该系统的控制需要采用级联控制。这种控制需要两个回路:内回路控制感应电流,外回路控制连续电压母线。该命令的理论研究已经通过PSIM软件进行了验证。
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引用次数: 0
COVID-19: Impact and New Normal COVID-19:影响和新常态
Pub Date : 2021-01-01 DOI: 10.4018/ijsppc.2021010103
Sonal Kanungo, Dolly Sharma, Alankrita Aggarwal
The novel corona or COVID-19 disease spread from Wuhan city of China. The virus spread rapidly around the different countries, and now there are 6,040,609 confirmed cases across the globe. People inflected with virus are suffering from respiratory problems, blood clotting, etc. It is evident to be more dangerous for older persons and those who are already facing other serious illnesses. The virus spreads mainly through droplets of saliva or discharge from the nose of infected person when he coughs or sneezes. The purpose of this review is to focus on social and economic impact of COVID-19 in India and how the world will change because of this pandemic and what will be the ‘new normal' with and after this pandemic. This deadly virus has put the globe on alert because of its the high mortality rate and expansion of new number of cases rapidly. Until now, four lockdown phases had helped India to prevent the spike in the curve of new cases, but currently the authors are witnessing steeper rise in new corona cases every day.
新型冠状病毒或COVID-19疾病从中国武汉市传播开来。该病毒在不同国家迅速传播,目前全球共有6040609例确诊病例。感染病毒的人会出现呼吸系统疾病、血液凝固等症状。显然,这对老年人和那些已经患有其他严重疾病的人来说更危险。病毒主要通过感染者咳嗽或打喷嚏时的唾液飞沫或鼻分泌物传播。本次审查的目的是关注2019冠状病毒病对印度的社会和经济影响,以及这次大流行将如何改变世界,以及在这次大流行期间和之后的“新常态”将是什么。这种致命的病毒由于其高死亡率和新病例数量的迅速增加而使全球处于警戒状态。到目前为止,四个封锁阶段帮助印度防止了新病例曲线的飙升,但目前,作者目睹了每天新冠病例的急剧上升。
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引用次数: 1
Detection and Tracking Cows by Computer Vision and Image Classification Methods 基于计算机视觉和图像分类方法的奶牛检测与跟踪
Pub Date : 2021-01-01 DOI: 10.4018/ijsppc.2021010101
T. Gao
In this paper, the cow recognition and traction in video sequences is studied. In the recognition phase, this paper does some discussion and analysis which aim at different classification algorithms and feature extraction algorithms, and cow's detection is transformed into a binary classification problem. The detection method extracts cow's features using a method of multiple feature fusion. These features include edge characters which reflects the cow body contour, grey value, and spatial position relationship. In addition, the algorithm detects the cow body through the classifier which is trained by Gentle Adaboost algorithm. Experiments show that the method has good detection performance when the target has deformation or the contrast between target and background is low. Compared with the general target detection algorithm, this method reduces the miss rate and the detection precision is improved. Detection rate can reach 97.3%. In traction phase, the popular compressive tracking (CT) algorithm is proposed. The learning rate is changed through adaptively calculating the pap distance of image block. Moreover, the update for target model is stopped to avoid introducing error and noise when the classification response values are negative. The experiment results show that the improved tracking algorithm can effectively solve the target model update by mistaken when there are large covers or the attitude is changed frequently. For the detection and tracking of cow body, a detection and tracking framework for the image of cow is built and the detector is combined with the tracking framework. The algorithm test for some video sequences under the complex environment indicates the detection algorithm based on improved compressed perception shows good tracking effect in the changing and complicated background.
本文研究了视频序列中奶牛的识别与牵引问题。在识别阶段,本文针对不同的分类算法和特征提取算法进行了讨论和分析,将奶牛的检测问题转化为二值分类问题。该检测方法采用多特征融合的方法提取奶牛的特征。这些特征包括反映奶牛身体轮廓的边缘特征、灰度值和空间位置关系。此外,该算法通过Gentle Adaboost算法训练的分类器对奶牛身体进行检测。实验表明,该方法在目标变形或目标与背景对比度较低的情况下具有良好的检测性能。与一般目标检测算法相比,该方法降低了脱靶率,提高了检测精度。检出率可达97.3%。在牵引阶段,提出了流行的压缩跟踪(CT)算法。通过自适应计算图像块的pap距离来改变学习率。当分类响应值为负时,停止对目标模型的更新,避免引入误差和噪声。实验结果表明,改进的跟踪算法可以有效地解决大覆盖或姿态频繁变化时目标模型被误更新的问题。针对奶牛身体的检测与跟踪,构建了奶牛图像的检测与跟踪框架,并将检测器与跟踪框架相结合。对一些复杂环境下视频序列的算法测试表明,基于改进压缩感知的检测算法在复杂多变的背景下具有良好的跟踪效果。
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引用次数: 1
A Study: Chikungunya Using Social Media Analytics in Delhi 一项研究:在德里使用社交媒体分析基孔肯雅热
Pub Date : 2021-01-01 DOI: 10.4018/ijsppc.2021010102
Shivani Jain, Alankrita Aggarwal, Sandeep Mittal
Chikungunya, an infection which is difficult to treat, took a toll on Delhi in year 2016. In that scenario, detection and prevention of vector-borne diseases outbreak in Delhi have been a major cause of concern for government. For analyzing this epidemic outbreak, the authors have utilized the unstructured data generated through Twitter. Twitter is a social media platform that generates vast amount of epidemic-related information every day. This information is used to analyze the effect of epidemic outbreak in Delhi region. In this paper, the authors discussed an associated study of various machine learning techniques for analyzing and mining social media information. In this, the authors have also categorized and explore the steps involved in social media textual data to provide a pictorial view of the ongoing outbreak. Finally, the article discussed the challenges faced for mining social media data.
基孔肯雅热是一种难以治疗的感染,2016年在德里造成了损失。在这种情况下,检测和预防媒介传播疾病在德里的爆发一直是政府关注的主要原因。为了分析这种流行病的爆发,作者利用了通过Twitter生成的非结构化数据。推特是一个社交媒体平台,每天都会产生大量与疫情相关的信息。该信息用于分析德里地区疫情爆发的影响。在本文中,作者讨论了用于分析和挖掘社交媒体信息的各种机器学习技术的相关研究。在这方面,作者还对社交媒体文本数据所涉及的步骤进行了分类和探索,以提供正在进行的疫情的图像视图。最后,文章讨论了挖掘社交媒体数据所面临的挑战。
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引用次数: 0
A Comprehensive Comparison of Hybrid Mobile Application Development Frameworks 混合移动应用开发框架的综合比较
Pub Date : 2021-01-01 DOI: 10.4018/ijsppc.2021010105
Blaž Denko, Špela Pečnik, Iztok Fister
The number of users of smart mobile devices is growing every day. Because of the popularity of using mobile devices, it is important for business stakeholders to develop mobile applications targeting all mobile platforms in order to ensure that the number of users is as large as possible. One possible solution is the creation of hybrid mobile applications. These are applications that combine the properties of web and native mobile applications, and their main advantage is compatibility with multiple mobile operating systems. This paper presents the results of very comprehensive experiments that involved the use of various hybrid mobile development frameworks that were tested under different scenarios. Experiments revealed that the performance of hybrid applications in different scenarios varies considerably, although the results of these applications were comparable to those that were achieved in the experiment with the native application.
智能移动设备的用户数量每天都在增长。由于使用移动设备的普及,对于业务利益相关者来说,开发针对所有移动平台的移动应用程序以确保尽可能多的用户是非常重要的。一个可能的解决方案是创建混合移动应用程序。这些应用程序结合了web和本地移动应用程序的特性,它们的主要优点是兼容多种移动操作系统。本文介绍了在不同场景下测试的各种混合移动开发框架的使用的非常全面的实验结果。实验表明,混合应用程序在不同场景下的性能差异很大,尽管这些应用程序的结果与使用本机应用程序的实验结果相当。
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引用次数: 1
Analysis of Big Data Using Two Mapper Files in Hadoop Hadoop中使用两个Mapper文件的大数据分析
Pub Date : 2021-01-01 DOI: 10.4018/ijsppc.2021010104
Jyotsna Malhotra, J. K. Sethi, Mamta Mittal
Nowadays, a large amount of valuable uncertain data is easily available in many real-life applications. Many industries and government organizations can exploit this data to extract valuable information. This information can help the managers to enhance their strategies and optimize their plans in making decisions. In fact, various private companies and governments have launched programs with investments and funds in order to maximize profits and optimize resources. This vast amount of data is called big data. The analysis of big data is important for future growth. This paper depicts big data analytics through experimental results. In this paper, data for New York stock exchange has been analyzed using two mapper files in Hadoop. For each year, the calculation of maximum and minimum price of every stock exchange and the average stock price is done.
如今,在许多实际应用中,大量有价值的不确定数据很容易获得。许多行业和政府组织可以利用这些数据提取有价值的信息。这些信息可以帮助管理者在决策过程中提高策略,优化计划。事实上,各种私营公司和政府已经启动了投资和基金项目,以实现利润最大化和资源优化。这种海量的数据被称为大数据。对大数据的分析对未来的增长很重要。本文通过实验结果来描述大数据分析。本文使用Hadoop中的两个mapper文件对纽约证券交易所的数据进行了分析。每年计算各证券交易所的最高、最低股价和平均股价。
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引用次数: 1
期刊
Int. J. Secur. Priv. Pervasive Comput.
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