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2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)最新文献

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Remote Structural Health Monitoring 远程结构健康监测
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318730
Atharva Ajgaonkar, Shriniket Vichare, R. Badgujar, Manisha Bansode, D. Karia, A. Bambole
In recent years, with the widespread construction, the number of incidences of structural damages and accidents has increased. This has led to fatal casualties and property loss. The most important reason for most of the structural damages and accidents occurring is lack of effective monitoring. The main aim of Structural Health monitoring is to monitor different civil structures like buildings, stadiums and try to improve the health of the structure which in turn will help to improve the lifespan of the civil structures and can also help to maintain the safety of Public [5]. The process of SHM includes detecting and analyzing the damages or weakness that the structure has, due to old age or any other reason and take preventive measure to avoid any fatal consequences [3]. Structural Monitoring is also important helpful for reducing over finance, as we don't always have to take big steps of demolition and rebuilding as sometimes simple repairs can do great effects. The necessity of bridge health monitoring has been drawn more and more attention. This paper introduces a remote bridge health monitoring system. Undergoing regular maintenance procedure on civil structures can help to increase the life span of the structure [7]
近年来,随着工程建设的广泛开展,结构破坏和事故的发生率不断上升。这导致了致命的人员伤亡和财产损失。大多数结构破坏和事故发生的最重要原因是缺乏有效的监测。结构健康监测的主要目的是监测不同的土木结构,如建筑物,体育场馆,并试图改善结构的健康,这反过来将有助于提高土木结构的寿命,也可以帮助维护公共bb0的安全。SHM的过程包括检测和分析结构由于老化或其他原因造成的损伤或弱点,并采取预防措施,以避免任何致命的后果。结构监测对减少过度融资也很有帮助,因为我们不必总是采取拆除和重建的大步骤,因为有时简单的修复可以产生很大的效果。桥梁健康监测的必要性越来越受到人们的重视。本文介绍了一种远程桥梁健康监测系统。对土建结构进行定期维护程序可以帮助增加结构的使用寿命
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引用次数: 1
Biometric Authentication System Using Dorsal Hand Vein Pattern 基于手背静脉模式的生物识别认证系统
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318632
Anisha Poojary, Avinash Chourasiya, Karan Jha, S. Ranbhise
Biometric authentication is a method of identifying individuals for security purpose based on the distinctive physiological characteristics of a person for verification and authentication. The use of biometrics provides a more definitive security layer in identification authentication of users in many fields. Biometric authentications can be implemented using finger print, iris, skin and voice and so on. Vein pattern is an extensive group of blood vessels underneath an individual's skin. These vein patterns are considered to be distinct and special to each individual and they are invariant in proportion. Taking in considerations the drawbacks of other biometric recognition methods, hand vein biometric is selected, as it is efficacious, guaranteed, secure and highly reliable for identification, authentication of individuals. So as to enable biometric authentication, cost effective scanning devices are brought into use. The device includes the use of No IR camera which is used for acquisition of vein image and a matrix of NIR LEDs which is helps to capture only the veins in the camera. The system is designed using Raspberry Pi at its heart and also makes use of Open CV, a library in Python which is used for image processing.
生物特征认证是一种基于人的独特生理特征,以安全为目的识别个体的方法,用于验证和认证。生物识别技术的使用为许多领域的用户身份认证提供了更明确的安全层。生物识别认证可以通过指纹、虹膜、皮肤和声音等实现。静脉是人体皮肤下的一组广泛的血管。这些静脉模式被认为是独特的,对每个个体来说都是特殊的,它们的比例是不变的。考虑到其他生物识别方法的不足,我们选择了手部静脉生物识别技术,因为它有效、有保障、安全、可靠性高,可以用于个人的身份识别、认证。为了实现生物识别认证,引入了成本效益高的扫描设备。该装置包括使用用于采集静脉图像的无红外相机和NIR led矩阵,该矩阵有助于仅捕获相机中的静脉。该系统的设计以树莓派为核心,还使用了Open CV,这是一个用于图像处理的Python库。
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引用次数: 0
Permission Blockchain based Smart Contract Utilizing Biometric Authentication as a Service: A Future Trend 基于许可区块链的智能合约,利用生物识别认证即服务:未来趋势
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318715
G. Sawant, V. Bharadi
Smart contracts are the triggered self executing contracts which are termed and conditioned among the trusted parties. Being independent of trusted third party, smart contract rely on blockchain and the underlying consensus submitted by participants for the security. Hyper ledger fabric provides peer-to-peer-network based distributed operating environment. This scenario highlights the need of identification of peer, more precisely on the ‘who the user is’ rather than ‘what does the user possess’. This paper proposes an architecture of the integration of multimodal biometric authentication system incorporation with the permissioned blockchain based smart contract. Every peer has to be authenticated before getting involved in smart contract. Paper also informs about the surveyed ways of multimodal recognition which ensures the major concern of various applications like insurance settlement, market predictions and internet on things, etc. i.e. liveliness detection.
智能合约是被触发的自执行合约,在受信任的各方之间被命名和约束。智能合约独立于可信第三方,依靠区块链和参与者提交的底层共识来保证安全性。超级账本结构提供了基于点对点网络的分布式操作环境。这种情况强调了识别同伴的需要,更准确地说是“用户是谁”,而不是“用户拥有什么”。本文提出了一种将多模态生物识别认证系统与基于许可区块链的智能合约相结合的体系结构。在参与智能合约之前,每个对等体都必须经过身份验证。本文还介绍了多模态识别的调查方法,确保了保险结算、市场预测、物联网等各种应用的主要关注点,即活力检测。
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引用次数: 2
Design a Microstrip Patch 5G Antenna with Modified Defective Ground Structure 改进缺陷接地结构的微带贴片5G天线设计
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318605
Minal Fegade, N. Agrawal, Harsha Prabha Paliwal, Ashutosh Kumar Singh, Suriti Gupta
The proposed design is of 5G Micro-Strip Patch Antennas with Defected Ground Structure on ground slots. Slots or defects merge on the ground plane of microwave planar circuits are defined as Defected Ground Structure. DGS is a very effective Partial Defected Ground Structure is used to improve all the antenna parameters and performance. DGS used to achieve high gain higher bandwidth. The proposed paper introduced the defective ground structure with a v slot in the partial ground. This will improve the parameter like return loss, bandwidth, VSWR, efficiency, and compactness of the antenna.
提出了一种基于地槽缺陷地结构的5G微带贴片天线设计方案。在微波平面电路的接平面上合并的槽或缺陷被定义为缺陷接地结构。DGS是一种非常有效的局部缺陷接地结构,用于改善天线的各项参数和性能。DGS用于实现高增益更高的带宽。本文介绍了局部接地带v型槽的缺陷接地结构。这将改善天线的回波损耗、带宽、驻波比、效率和紧凑性等参数。
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引用次数: 2
Optimal Allocation of Wind Based DG for Enhancement of Technical, Economic and Social Benefits using Jaya Algorithm for Radial Distribution Networks 基于Jaya算法的径向配电网风电DG优化配置提高技术、经济和社会效益
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318659
Anirban Chowdhury, R. Roy, K. Mandal
The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.
由于R/X比较大,径向配电网的有功损耗高于输电网。化石燃料资源的枯竭是网络运营商日益关注的问题之一。来自化石燃料的有害污染物是对环境的主要威胁。因此,在这个能源危机时期,光伏、风能等可再生能源是很好的替代能源,可以满足能源需求。本文利用Jaya算法对风电综合径向配电网的电压稳定、经济性和排放约束多目标函数进行了改进。将风电分布式发电机(DG)注入标准IEEE 33总线和85总线测试系统的单点、双点和三点,并将结果与PSO及其不同变体进行了比较。
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引用次数: 0
Automatic Estimation of Equivalent Circuit Parameters of Induction Motors for Drives 驱动用感应电动机等效电路参数的自动估计
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318606
K. Pandey, S. Kotecha, Nirajkumar Pandey
Control strategies for the DC motor drives are quite simpler and have some good features. But AC motor drives are much more efficient and cost-effective for the servo application as compared to their DC counterparts. Many control strategies are available of AC drives too but they are complex as they require number of machine parameters. To obtain these machine parameters one can either refer to the datasheet provided by the manufacturer or some tests could be performed for the same. Test results may not be accurate due to the continuously varying operating conditions and other factors. This may lead to the malfunctioning of drive which is totally undesirable. For getting the performance of the higher grounds with sensor-less vector control of an induction motor, the accuracy of the motor parameters has are predominant in governing the performance of the system in whole. A solution to problems faced in AC drives is the new feature called self-commissioning. In this paper light is thrown on the self-commissioning of the induction motor for drives which a novel feature for the AC drives. Self-commissioning totally eliminates the need of performing the traditional tedious tests for obtaining machine parameters. This drastically reduces the costs of test equipments, also self-commissioning support the advantage of the auto-tuning of the electric drive with the motor parameter varying in continuously altering operating conditions.
直流电动机驱动的控制策略比较简单,而且有一些很好的特点。但是,与直流电机相比,交流电机驱动器在伺服应用中效率更高,成本效益更高。许多控制策略是可用的交流驱动器,但他们是复杂的,因为他们需要机器参数的数量。要获得这些机器参数,可以参考制造商提供的数据表,也可以进行一些测试。由于不断变化的工作条件和其他因素,测试结果可能不准确。这可能会导致驱动器故障,这是完全不希望的。在异步电动机无传感器矢量控制中,电机参数的精度对整个系统的性能起着至关重要的作用。解决交流驱动器所面临的问题的一种方法是称为自调试的新功能。本文介绍了交流变频器的一个新特点——感应电动机自调试。自动调试完全消除了为获取机器参数而进行传统的繁琐测试的需要。这极大地降低了测试设备的成本,并且在不断变化的操作条件下,随着电机参数的变化,自动调整电力驱动的自调试支持的优势。
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引用次数: 0
The Universal Research Portal 通用研究门户网站
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318698
Varsha Kukreja, Sahil Jobanputra, Mukesh Jha, R. Shankarmani
In recent times there are plenty of research projects with grants from major Government Organizations, Industrial Organizations and other Institutions. But a lack of universal research portal where Professors can motivate students interested in the domain to work with them on high scale research work and projects sponsored by Industries and Government Organizations hampers the growth of research community and also hinders great research opportunities which could be offered to young intelligent minds. Also huge availability of research projects with no customization and recommendation which can enhance students' knowledge in his/her field of interest makes very less students to take up research activities. Our solution aims at satisfying the above need by giving professors, a platform where they are continuously notified about the list of the projects with grants from major organizations for which they can offer research internships to students and float various research projects for students to apply. It also includes monitoring status of the research work and collaborative filtering a nd machine learning based recommendation with highly scale-able notification system making research recommendation completely customized according to data obtained from student's contribution in different version control systems
近年来,有许多研究项目获得了主要政府组织、工业组织和其他机构的资助。但是,缺乏通用的研究门户网站,教授可以激励对该领域感兴趣的学生与他们一起进行大规模的研究工作和由行业和政府组织赞助的项目,这阻碍了研究社区的发展,也阻碍了向年轻聪明的头脑提供巨大的研究机会。此外,大量的研究项目没有定制和推荐,可以提高学生在他/她感兴趣的领域的知识,这使得很少有学生参加研究活动。我们的解决方案旨在满足上述需求,为教授提供一个平台,让他们不断了解获得主要组织资助的项目列表,他们可以为学生提供研究实习机会,并为学生提供各种研究项目供学生申请。它还包括监测研究工作状态和协同过滤和基于机器学习的推荐,具有高度可扩展的通知系统,根据学生在不同版本控制系统中的贡献获得的数据完全定制研究推荐
{"title":"The Universal Research Portal","authors":"Varsha Kukreja, Sahil Jobanputra, Mukesh Jha, R. Shankarmani","doi":"10.1109/ICCDW45521.2020.9318698","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318698","url":null,"abstract":"In recent times there are plenty of research projects with grants from major Government Organizations, Industrial Organizations and other Institutions. But a lack of universal research portal where Professors can motivate students interested in the domain to work with them on high scale research work and projects sponsored by Industries and Government Organizations hampers the growth of research community and also hinders great research opportunities which could be offered to young intelligent minds. Also huge availability of research projects with no customization and recommendation which can enhance students' knowledge in his/her field of interest makes very less students to take up research activities. Our solution aims at satisfying the above need by giving professors, a platform where they are continuously notified about the list of the projects with grants from major organizations for which they can offer research internships to students and float various research projects for students to apply. It also includes monitoring status of the research work and collaborative filtering a nd machine learning based recommendation with highly scale-able notification system making research recommendation completely customized according to data obtained from student's contribution in different version control systems","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Classification of MRI Brain Tumor and Mammogram Images using Adaboost and Learning Vector Quantization Neural Network 利用Adaboost和学习向量量化神经网络对MRI脑肿瘤和乳房x线影像进行分类
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318645
Ravindra Sonavane, Adhyayan Sugdeo Sonavane
Classification and accurate detection of brain tumor using MRI is essential for purpose of treatment and diagnosis of tumor. In this paper we propose and developed system using four stages namely image normalization, Image Binarization with morphological operation, Anisotropic Diffusion filtering and feature extraction using GLCM. The system evaluated on two types of database, Clinical Brain MRI Images and Digital Database for Screening Mammogram (DDSM). Normalization is process of contrast stretching which changes value of pixel intensity and Image Binarization is processing of Grey scale image into black and white image by fixing threshold level of pixel. If value of pixel above the threshold level is white either Black followed by steps of morphological operation i.e. Erosion and Dilation by processing MRI images. Apart from that anisotropic diffusion (ADF) is applied for detection and sharpen the edge detection. Features taken or extracted by using GLCM from filtered MR images. In the stage of classification, two Neural Networks have been implemented. The first Neural Network is Adaboost NN is based on boosting method which yields classification accurately and the second neural network, LVQ is feed forward network which uses Quantization machine learning algorithm and Lossy compression techniques. The extracted features hence given to train Neural Network for classification. Accuracy with success has been obtain 95% and 80.6% for Clinical Brain MRI images with 79.3% and 69.9% for DDSM.
MRI对脑肿瘤的分类和准确检测对于肿瘤的治疗和诊断至关重要。本文提出并开发了图像归一化、形态学二值化、各向异性扩散滤波和GLCM特征提取四个阶段的系统。该系统在临床脑MRI图像和乳腺x光筛查数字数据库(DDSM)两种数据库上进行了评估。归一化是改变像素强度值的对比度拉伸过程,图像二值化是通过确定像素的阈值水平将灰度图像处理成黑白图像。如果像素值高于阈值水平是白色或黑色,然后是形态学操作步骤,即侵蚀和扩张处理MRI图像。在此基础上,采用各向异性扩散(ADF)进行检测,并对边缘检测进行锐化。使用GLCM从过滤后的MR图像中获取或提取的特征。在分类阶段,实现了两种神经网络。第一个神经网络是Adaboost神经网络,它是基于增强方法产生准确的分类,第二个神经网络LVQ是前馈网络,它使用量化机器学习算法和有损压缩技术。提取的特征用于训练神经网络进行分类。临床脑MRI图像的准确率分别为95%和80.6%,DDSM的准确率分别为79.3%和69.9%。
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引用次数: 1
Optimal Reactive Power Dispatch for Voltage Security using JAYA Algorithm 基于JAYA算法的电压安全无功优化调度
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318700
R. Roy, T. Das, K. Mandal
The optimal reactive power dispatch (ORPD) is one of the most critical problems in power system engineering which is solved to minimize power loss and voltage deviation in the system. This helps in obtaining a more economic and secure operation of the system. Here, this complex and non-linear optimization problem has been formulated as a single objective, with two different objectives, which are optimized one at a time. The objectives considered here are the minimizing both the transmission line losses and the total voltage deviation of the system. This problem can be solved by determining the optimal solution of the different control variables by optimizing the objective functions. In this paper, a newly proposed optimization technique named the JAYA algorithm has been used for solving the ORPD problem. The standard test cases considered in this paper for solving the objective functions are IEEE 14 and IEEE 30 bus systems. The results obtained from the simulation were compared with those from different other already developed and widely used optimization techniques. The comparison of the results proved the superiority of the proposed algorithm amongst others.
无功优化调度是电力系统工程中最重要的问题之一,其主要目的是使系统的功率损耗和电压偏差最小化。这有助于获得更经济、更安全的系统运行。在这里,这个复杂的非线性优化问题被表述为一个单一的目标,有两个不同的目标,每次优化一个。这里考虑的目标是使输电线路损耗和系统的总电压偏差最小化。通过优化目标函数,确定不同控制变量的最优解,即可解决该问题。本文提出了一种新的优化技术——JAYA算法,用于解决ORPD问题。本文考虑的解决目标函数的标准测试用例是ieee14和ieee30总线系统。并将仿真结果与其他已经发展和广泛应用的优化技术的结果进行了比较。结果的比较证明了该算法的优越性。
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引用次数: 8
Landmines Detection Using Migration and Selection Algorithm on Ground Penetrating Radar Images 基于探地雷达图像的地雷探测偏移与选择算法
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318660
Ajay Kumar, Aruna Pavate, K. Abhishek, A. Thakare, Mansi Shah
Landmine removal is a basic issue looked by numerous nations around the globe, and the circumstance can be intensified during cataclysmic events or land advancement. Along these lines, it is an earnest issue to identify landmines in the ground and evacuate them securely. The procedure of landmine expulsion begins with the discovery of landmines in the ground. This exploration surveys the advancement and utilizations of Ground Penetrating Radar (GPR) innovation to address the difficulties of dependably distinguishing landmines. The accentuation is on the significance of the GPR system in landmine recognition execution to non military personnel or helpful demining programs. Ground Penetrating Radar (GPR) is a ultra-wideband radar that gives centimeter goals to find even little targets. There are two particular kinds of GPR approaches viz. time space and frequency domain. For the experimentation, at first a ground penetration radar is utilized to create informational collection, which is then prepared utilizing A, B and C scans to lessen the commotion to get landmine signals. At that point the migration algorithm is applied to the images got from Ground Penetrating Radar. From the output of the migration algorithm, landmine signals are processed, which are utilized as features of each landmine for recognition and distinguishing proof. As different articles are distinguished after the movement calculation, a determination method is applied to identify only signals of landmines and dispose of different items. Along these lines, an end to end pipeline for landmine recognition is proposed and assessed with a baseline strategy to highlight its viability.
地雷清除是全球许多国家关注的一个基本问题,在灾难性事件或土地开发期间,这种情况可能会加剧。在这方面,查明地下地雷并安全地撤离地雷是一个严肃的问题。排除地雷的程序始于在地下发现地雷。本文综述了探地雷达(GPR)技术创新的进展和应用,以解决可靠识别地雷的难题。重点论述了探地雷达系统在地雷识别执行中对非军事人员或辅助排雷项目的意义。探地雷达(GPR)是一种超宽带雷达,可以提供厘米级目标,甚至可以发现很小的目标。有两种特殊的探地雷达方法,即时域和频域。在实验中,首先使用探地雷达进行信息收集,然后利用a、B和C扫描进行准备,以减少骚动以获得地雷信号。在此基础上,将偏移算法应用于探地雷达图像。从迁移算法的输出中,对地雷信号进行处理,并将其作为每个地雷的特征进行识别和区分证明。由于移动计算后会区分不同的物品,因此采用一种确定方法,只识别地雷信号,并对不同物品进行处理。按照这些思路,提出了一个端到端的地雷识别管道,并以一项基线战略进行评估,以突出其可行性。
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引用次数: 2
期刊
2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)
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