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2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)最新文献

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Smart Car Parking Using Image Processing 使用图像处理的智能停车
S. Sunmathi, M. Sandhya, M. Sumitha, A. Kirthika
With the rapid increases in the usage of vehicles in recent years, finding a parking area is more difficult, which leads to practical conflicts such as traffic congestion. In this paper, a solid system is used to identify a free slot in a parking area and keep the record of vehicles which are parked. It is very useful for the drivers to find a free slot before they reach their destination and to calculate a parking charge while leaving the parking area. In this system, sensors identify the free slots, a vehicle is identified using image processing, and the parking charge for each vehicle is detected on the basis of the time that the vehicle is in the parking area.
近年来,随着车辆使用量的迅速增加,寻找停车位变得更加困难,这就导致了交通拥堵等实际冲突。本文提出了一种立体系统,用于识别停车场的空闲车位,并对停车车辆进行记录。对于司机来说,在到达目的地之前找到一个空闲的停车位以及在离开停车区域时计算停车费用是非常有用的。在该系统中,传感器识别空闲车位,通过图像处理识别车辆,并根据车辆在停车区域的时间检测每辆车的停车费用。
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引用次数: 0
Light Weight Security Framework for IoT 物联网轻量级安全框架
S. Thenmozhi, J. Bala Ranjitha, S. Anu, A. Jasmine soniya
IoT comprises a complex network of smart devices. This complex network consists of large number of nodes. The traditional cryptographic techniques do not provide solution for energy dissipation for IoT nodes. Hence measure should be taken to make sure that the data is secured and efficiently received at the receiving end. The RSSI values are used to generate fingerprints. At the server link fingerprints are matched to compute the correlation coefficient. The RSSI values are taken from offline database and simulation are performed in MATLAB. The data can be easily forged hence proper security must be taken. A single change in data might cause big problems. Hence to secure the data light-weight protocols are used.
物联网包括一个复杂的智能设备网络。这个复杂的网络由大量的节点组成。传统的加密技术并不能解决物联网节点的能量耗散问题。因此,应采取措施确保数据在接收端安全有效地接收。RSSI值用于生成指纹。在服务器端,匹配链路指纹来计算相关系数。RSSI值取自离线数据库,并在MATLAB中进行仿真。数据很容易伪造,因此必须采取适当的安全措施。数据中的一个变化可能会导致大问题。因此,为了确保数据的安全,使用了轻量级协议。
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引用次数: 1
Web Monitoring And Speed Control Of Solar Based Bldc Motor With Iot 基于物联网的太阳能无刷直流电机网络监测与速度控制
S. R, Punithavalli R, E. Nandakumar, P. R
This Project Proposes the Web Monitoring of Solar based Brushless Direct Current(BLDC)motor and its Speed control is done with Closed loop Technique. Brushless DC motor is an emerging trend in Industrial Applications due to its domination over the motors with Counterparts. The hardware setup is made with Solar Panel, a part of Controller board and a part of Inverter board, along with MPPT algorithm and MOSFET driver circuit and a Communication module. The BLDC motor speed can be controlled with low cost PIC microcontroller 16F877a. We have employed PIC microcontroller and programmed with Embedded C in order to vary the duty cycle of motor. The Communication module which is used in order to monitor the working state of the machine is done with Internet of Things (IoT). The Industrial Persons can monitor the parameters using IOT provided with Unique Login credentials which comes under the proposed system.
本课题提出了基于太阳能的无刷直流(BLDC)电机的网络监测,并采用闭环技术对其速度进行控制。无刷直流电动机在工业应用中是一种新兴的趋势,因为它在电机中占有主导地位。硬件部分由太阳能板、部分控制器板和部分逆变板组成,以及MPPT算法和MOSFET驱动电路和通信模块组成。采用低成本的PIC单片机16F877a控制无刷直流电机的转速。为了改变电机的占空比,我们采用PIC单片机和嵌入式C语言编程。用于监控机器工作状态的通信模块是通过物联网(IoT)完成的。工业人员可以使用物联网监控参数,提供在拟议系统下的唯一登录凭据。
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引用次数: 6
Intelligent Shopping Cart Using Bolt Esp8266 Based on Internet of Things 基于物联网的Bolt Esp8266智能购物车
T. Lekhaa, S. Rajeshwari, J. Sequeira, S. Akshayaa
In the living world technology is evolving day by day in different fields like artificial intelligent, machine learning, virtual 1reality, touch commerce, internet of things and so on. The main motive of the paper is focus to the customer needs and purpose because time is more important to everyone in the real world. But the people spend the more time in the supermarket. For example, consumers purchase the number of items in the supermarket using trolley. After purchasing they can face some problems like waiting the long queue in billing section and without knowing about the calculation of purchased items. So, we can consider these problem to find the remedies called as "Intelligent shopping cart using BOLT based on IOT". Our IOT kit consists of barcode scanner, LCD display, Bolt ESP8266. The broad clarification of its process is, when consumer takes an item and put inside the trolley, that time barcode scanner scan the item barcode and value as well as gain to show into the digital display panel. Later than consumer concluded their purchasing and the bill is send to the counter section. It will save the time and consumer early itself knowing the calculation of purchased items.
在现实世界中,技术在人工智能、机器学习、虚拟现实、触摸商务、物联网等不同领域日益发展。论文的主要动机是关注客户的需求和目的,因为时间对现实世界中的每个人都更重要。但是人们花更多的时间在超市。例如,消费者使用手推车在超市购买商品的数量。购买后,他们会面临一些问题,如在结账处排队等候,不知道购买物品的计算方法。因此,我们可以考虑这些问题,找到补救措施,称为“基于物联网的使用BOLT的智能购物车”。我们的物联网套件包括条形码扫描器,液晶显示器,Bolt ESP8266。其过程的大致说明是,当消费者拿起一件商品放入购物车时,条形码扫描器扫描出商品的条形码并将价值和收益显示在数字显示面板上。在消费者完成购买之后,帐单被送到柜台。这将节省时间和消费者自己知道购买物品的计算。
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引用次数: 12
Redactable Blockchain using Enhanced Chameleon Hash Function 使用增强变色龙哈希函数的可读区块链
K. Ashritha, S. M, Lakshmy Kv
Immutability is a core principle of blockchain platforms that help all participants to have an exact global log of transactions. Immutability is easier to achieve in permissioned blockchain platforms where a trusted group are the validators. In public platforms, this vital property of blockchain can be achieved only through decentralized economic mechanisms like Proof-of-Work(PoW). Blockchain along with the concept of asset tokenization provides liquidity to markets like stock trading and exchange other intangible objects. With changes in regulatory policies and/or government laws, there could be a requisite to alter the contents in such markets. We propose an idea of using Chameleon hash functions that will enable modification of a block without changing other block contents. In our proposal, the trapdoor key used to redact a block is split among major validators and is reconstructed using Multi-Party Computation(MPC). Redaction happens when the major validators agree the suggested changes by digitally signing the proposal. This eliminates the need to rely on a trusted party. We also propose an idea of using second trapdoor key that will be with the creator of the block. This can be used in scenarios where the block redaction should not happen without the consent of the creator.
不变性是区块链平台的核心原则,它帮助所有参与者拥有准确的全局交易日志。在受信任的组作为验证者的许可区块链平台中,不变性更容易实现。在公共平台上,区块链的这一重要属性只能通过工作量证明(PoW)等分散的经济机制来实现。区块链以及资产代币化的概念为股票交易和交换其他无形对象等市场提供了流动性。随着监管政策和/或政府法律的变化,可能需要改变这些市场的内容。我们提出了一个使用变色龙哈希函数的想法,它可以在不改变其他块内容的情况下修改一个块。在我们的提议中,用于编辑块的活板门密钥在主要验证器之间进行分割,并使用多方计算(MPC)进行重建。当主要验证者通过对提案进行数字签名来同意建议的更改时,就会进行编校。这消除了依赖受信任方的需要。我们还提出了使用第二个活板门钥匙的想法,该钥匙将与区块的创建者一起使用。这可以用于在未经创建者同意的情况下不应该发生块编校的情况。
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引用次数: 30
Identification in the delta domain: a unified approach using hybrid FAPS algorithm 在增量域中识别:使用混合FAPS算法的统一方法
Souvik Ganguli, Gagandeep Kaur, P. Sarkar
This paper investigates the application of a firefly based hybrid algorithm, namely FAPS, integrating firefly algorithm (FA) with pattern search (PS), to identify linear dynamic systems in presence of static nonlinearities in the discrete-delta domain. The advantage of using delta operator is to provide unification of continuous-time systems with discrete domain results at a high sampling rate. Two popular identification models, viz. hammerstein and wiener are taken up in this work. The parameters of these models as well as the polynomial nonlinearities considered are calculated using FAPS algorithm, through the minimization of mean square error (MSE) occurring between the true and identified model outputs. Simulations illustrate the efficacy of the proposed technique.
本文研究了一种基于萤火虫的混合算法FAPS,将萤火虫算法(FA)与模式搜索(PS)相结合,用于识别存在静态非线性的离散增量域中的线性动态系统。使用delta算子的优点是可以在高采样率下实现连续系统与离散域结果的统一。本研究采用了两种流行的识别模型,即hammerstein和wiener。这些模型的参数以及所考虑的多项式非线性是使用FAPS算法计算的,通过最小化真实和识别模型输出之间的均方误差(MSE)。仿真结果表明了该方法的有效性。
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引用次数: 1
Staged Placement of PMUs in a Power Grid 在电网中分阶段放置pmu
J. S. Bhonsle, A. Junghare
Nowadays power grid are equipped with new technological devices, thereby becoming a Smart grid. Monitoring of electrical quantities by such smart device called PMU is performed to have a better situational awareness. Grid comprises of large number of buses and it is not possible for electric utility to place PMUs in each bus, that too, in a single stage. Therefore PMUs are placed at strategic location in phased manner. In this paper, algorithm is presented to place PMUs phase-wise ensuring the maximum grid observability at each stage. Placement strategy also incorporates any grid expansion scenario, if occurs during complete placement phases. Performance of algorithm is verified on IEEE 14 bus and IEEE 30 bus test system.
当今电网配备了新的技术设备,从而成为智能电网。通过这种被称为PMU的智能设备监测电量,以获得更好的态势感知。电网由大量的总线组成,电力公司不可能在每个总线上放置pmu,这也是在一个阶段。因此,pmu被分阶段放置在战略位置。本文提出了一种分阶段放置pmu的算法,保证每一阶段的网格可观测性最大。放置策略还包含任何网格扩展场景,如果发生在完整的放置阶段。在ieee14总线和ieee30总线测试系统上验证了算法的性能。
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引用次数: 0
Analysis on Malware Issues in Online Social Networking Sites (SNS) 在线社交网站(SNS)恶意软件问题分析
Madhu Nakerekanti, V. Narasimha
The Trendy social networking sites like LinkedIn, Facebook and Twitter form a good media to mingle socially worldwide. Because of a huge user database, and enormous quantity of information, these online social networking sites are becoming a probable channel for attackers and intruders to exploit the user’s information. A lot of social networking sites aim to prevent these exploitations; however several attackers are still able to conquer security countermeasures by using diverse techniques. The identity of the user can be stolen by the Intruder and that lead to a negative impact. Users of social networking sites may not be aware of such security issues. This paper addresses analysis on different types of malware issues that are possible in online social networks.
流行的社交网站,如LinkedIn、Facebook和Twitter,形成了一种很好的媒体,可以在全球范围内进行社交交流。由于庞大的用户数据库和海量的信息,这些在线社交网站正成为攻击者和入侵者利用用户信息的可能渠道。许多社交网站都致力于防止这种利用;然而,一些攻击者仍然能够通过使用各种技术来征服安全对策。用户的身份可能被入侵者窃取,从而导致负面影响。社交网站的用户可能不知道这些安全问题。本文分析了在线社交网络中可能出现的不同类型的恶意软件问题。
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引用次数: 4
Survey on Opinion Leader in Social Network using Data Mining 基于数据挖掘的社交网络意见领袖调查
R. Katarya, Diksha Gautam
Online Social Network (OSN) is an online virtual community which helps people from anywhere to connect, share their views, ideas with each other and express themselves without any restrictions on social networks. Sometimes, in such kind of network one person’s view or idea can make an impact on another person. Hence OSNs plays a significant role in the behavior and decision making of a person. The person that can make an impact, help or influence another person in any kind of issue is we call an opinion leader (OL). It has become essential to identify an opinion leader for different benefits among society. In this paper, we have shown the need and features of an opinion leader. This study also shows the different methods to identify an opinion leader in and some recent research in the area of data mining techniques to find an opinion leader in the OSN.
Online Social Network (OSN)是一个在线的虚拟社区,它帮助来自任何地方的人们相互联系,分享他们的观点,想法和表达自己,而不受社交网络的任何限制。有时,在这样的网络中,一个人的观点或想法会对另一个人产生影响。因此,osn在人的行为和决策中起着重要的作用。在任何问题上能够产生影响、帮助或影响他人的人我们称之为意见领袖(OL)。为了社会的不同利益,确定意见领袖变得至关重要。在本文中,我们展示了意见领袖的需求和特征。本研究还展示了在OSN中识别意见领袖的不同方法和最近在数据挖掘技术领域的一些研究。
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引用次数: 4
CNN Based Training and Classification of MRI Brain Images 基于CNN的MRI脑图像训练与分类
V. Bhanumathi, R. Sangeetha
Brain tumor is nothing but an abnormal growth caused by cells reproducing themselves in an uncontrolled manner. The treatment planning is a key stage to improve the quality of life of oncological patients. In recent years, deep learning has gained a huge fame in solving problems from various fields including Medical Image Analysis. Nowadays, CNN plays a major role in fine tuning and analyzing the brain tumors present in the Magnetic Resonance Imaging (MRI) images. In this paper, we introduced different classification techniques such as Alex Net, Vgg Net and Google Net, for pre-trained and fine tuning process of brain tumor images. For this analysis, the extracted features and the results of the classifiers such as Alex Net, Vgg Net and Google Net are compared the results of proposed technique are validated for its performance and quality for MRI brain images based on iteration, time elapsed and accuracy.
脑瘤只不过是细胞不受控制地自我繁殖而引起的异常生长。治疗计划是提高肿瘤患者生活质量的关键环节。近年来,深度学习在解决包括医学图像分析在内的各个领域的问题方面获得了巨大的名气。如今,CNN在磁共振成像(MRI)图像中对脑肿瘤进行微调和分析方面发挥着重要作用。本文介绍了不同的分类技术,如Alex Net、Vgg Net和Google Net,用于脑肿瘤图像的预训练和微调过程。在此分析中,将所提取的特征与Alex Net、Vgg Net和Google Net等分类器的分类结果进行了比较,并基于迭代、耗时和准确性验证了所提出的技术在MRI脑图像上的性能和质量。
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引用次数: 14
期刊
2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
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