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2023 International Conference on Networking and Communications (ICNWC)最新文献

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Resource Prudent CNN Models for Disease Identification of Rice Crops 水稻作物病害识别的资源谨慎CNN模型
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127388
T. P, B. Baranidharan
Agriculture is one of India’s most promising and vital sector, where we secure almost 17% of GDP. Over 60 % of the population is employed in the field of agriculture.Rice is one of the significant staple crops in India. The most prominent hurdle farmer faces are disease identification which affects the crop and reduces yield significantly. Northeast monsoon dropped more than 57% rainfall in Tamil Nadu by 2021, and the Rice crop diseases like Blast, False Smut, Bacterial Leaf Blight, and Brown Spot emerged, which caused a 33% loss in the year 2021. The dataset is collected from the rice field of Chengalpattu district affected by this Northeast monsoon and from Kaggle, UCI Machine learning repository. Early prediction can reduce these losses and increase the quality and yield of the crops. The advancements in computer vision technology can do this with one precise algorithm in deep learning perfected with time: Convolutional Neural Network (CNN). CNN with feature extraction techniques is deployed to classify the diseases early. The different CNN models are trained to classify images into five classifications of diseases i) Blast, ii) Bacterial leaf blight, iii) Brown spot, iv) False smut, v) Tungro, and one classification of healthy crops. When the trained CNN models are deployed in a mobile hand-held device, the size of the CNN model is a significant obstacle. ResNet family CNN models give the highest output accuracy but come at the cost of increased computational resources. In this research, different dense CNN models and MobileNet models are proposed, which give comparable results to ResNet models but take much fewer computational resources.
农业是印度最有前途和最重要的部门之一,占GDP的近17%。60%以上的人口从事农业工作。水稻是印度重要的主要作物之一。农民面临的最突出的障碍是病害鉴定,病害严重影响作物产量。到2021年,东北季风使泰米尔纳德邦的降雨量减少了57%以上,稻瘟病、假黑穗病、细菌性叶枯病和褐斑病等水稻作物疾病出现,导致2021年损失33%。数据集来自受东北季风影响的Chengalpattu地区的稻田和UCI机器学习存储库Kaggle。早期预测可以减少这些损失,提高作物的质量和产量。计算机视觉技术的进步可以通过一种精确的深度学习算法来实现这一点:卷积神经网络(CNN)。采用CNN结合特征提取技术对疾病进行早期分类。训练不同的CNN模型,将图像分为五类疾病i) Blast, ii)细菌性叶枯病,iii)褐斑病,iv)假黑穗病,v) Tungro,和一种健康作物分类。当训练好的CNN模型部署在移动手持设备中时,CNN模型的大小是一个重要的障碍。ResNet家族CNN模型给出了最高的输出精度,但代价是增加了计算资源。在本研究中,提出了不同的密集CNN模型和MobileNet模型,其结果与ResNet模型相当,但所需的计算资源要少得多。
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引用次数: 1
Heuristic Search based Test Pattern Compression Scheme 基于启发式搜索的测试模式压缩方案
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127249
M. Baráth, S. Asha Pon, V. Jeyalakshmi
VLSI testing becomes a mandatory process with invention of system-on chip to ensure device reliability. To assure the effectiveness of system-on chip, larger test data volume are required. This leads to excessive power consumption and also increases the device testing time. Additionally, larger memory is required to store this enormous test data. Hence, to overcome these drawbacks test data volume has to be reduced. This paper proposes a test data compression scheme based on Genetic algorithm to minimize test power. Test power minimization is accomplished by reducing hamming distance among test patterns. Proposed algorithm is implemented in c17 ISCAS’85 benchmark combinational circuit. Experimental result shows that 67.74% reduction on test pattern count and 49.35% reduction in hamming distance is observed.
随着系统级芯片的发明,为了保证器件的可靠性,VLSI测试成为一项必不可少的过程。为了保证片上系统的有效性,需要更大的测试数据量。这将导致过度的功耗,也增加了设备的测试时间。此外,需要更大的内存来存储这些庞大的测试数据。因此,为了克服这些缺点,必须减少测试数据量。提出了一种基于遗传算法的测试数据压缩方案,使测试功率最小化。测试功率最小化是通过减少测试模式之间的汉明距离来实现的。该算法在c17iscas’85基准组合电路中实现。实验结果表明,测试模式数减少67.74%,汉明距离减少49.35%。
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引用次数: 0
Survey of Evidence Collection Methods for Internet of Things Forensics 物联网取证取证方法研究
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127407
A. Renold
Internet of Things (IoT) usage in different applications and the usage of open source communication band are vulnerable to different types of attacks. Determining the root cause of the attacks, isolating the nodes, and providing countermeasures to overcome such threats in the future are important aspects for the success of IoT and its usage in more areas of applications. This paper presents a survey of recent works on the evidence collection module in IoT forensics. The evidence collection is the second stage in the forensics investigation cycle. The classification of the evidence collection mechanisms based on the strategy adapted has been discussed. Additionally, the discussion on the evidence collection methodologies and the future directions for research in the evidence collection module pertaining to IoT forensics is presented.
物联网(IoT)在不同应用中的使用以及开源通信频段的使用容易受到不同类型的攻击。确定攻击的根本原因,隔离节点,并提供应对措施以克服未来的此类威胁,是物联网成功及其在更多应用领域中使用的重要方面。本文介绍了物联网取证中证据收集模块的最新工作概况。证据收集是法医调查周期的第二阶段。根据所采用的策略对证据收集机制进行了分类。此外,还讨论了与物联网取证相关的证据收集模块的证据收集方法和未来研究方向。
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引用次数: 1
The Revelation of Tamil Cryptographic Lexicon –Connecting Tamil Characteristics and Cubic Curve 泰米尔密码学词典的启示——联接泰米尔特征与三次曲线
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127454
J. Josepha Menandas, Mary Subaja Christo
Data Security is the predominant issue in today’s world as drastic increase in size of data in day today’s life. Even though we have cryptographic algorithms more in hand, the same time how efficient usage of those algorithms are still unknown. Here we propose a novel method to provide high security and easy implementation of existing Galois field cubic curve algorithm using Tamil language. The Tamil language is represented as the product of vowels and consonants in one-toone connection to the Hardy-Ramanujan prime factors. In addition, the mathematical properties of the cubic curves are formed from the tabular representations of Hardy- Ramanujan prime factors and the number digits. It’s experiential shows that, Tamil language based cubic curve encryption provides very stronger security when compared to the modern cubic curve Elliptic curve encryption.
随着当今生活中数据量的急剧增加,数据安全是当今世界的主要问题。即使我们有更多的加密算法在手,同时如何有效地使用这些算法仍然是未知的。本文提出了一种新的方法,在现有伽罗瓦域三次曲线算法的基础上,使用泰米尔语实现高安全性和简易性。泰米尔语被表示为元音和辅音的产物,与Hardy-Ramanujan素数因子有一对一的联系。此外,还利用Hardy- Ramanujan素数因子和数字位数的表格表示,建立了三次曲线的数学性质。经验表明,与现代的三次曲线椭圆曲线加密相比,基于泰米尔语的三次曲线加密具有更强的安全性。
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引用次数: 0
Analysis Of Information Diffusion In Social Networks Based On Graph Representation 基于图表示的社会网络信息扩散分析
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127266
A. Susi, V. Akila, V. Govindasamy
The growing network of relationship in social Snetwork has contributed to rising maximization of information diffusion by identifying the influential node through various centrality measures. The network structure is affected by the property of the network, so assortative help in better understanding the connectivity of the node. The graph structure-based approach along with different graph metrics has been used to detect and analyze influential node in the network. The comparison of measures has been presented on the basis of performance in social network. Empirical evaluation reveals that the relationship of the bridge edge in the network, strengthens the information flow between different cluster. The presence of small clusters among large clusters aids in detecting information propagation pattern and maximizing information diffusion.
社交网络中不断增长的关系网络通过各种中心性度量来识别有影响的节点,从而促进了信息扩散的最大化。网络结构受网络属性的影响,因此分类有助于更好地理解节点的连通性。利用基于图结构的方法和不同的图度量来检测和分析网络中的影响节点。以社会网络的绩效为基础,提出了指标的比较。实证评价表明,网络中桥梁边缘的关系,加强了不同集群之间的信息流。在大集群中存在小集群有助于检测信息传播模式和最大化信息扩散。
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引用次数: 0
Driver Drowsiness Detection Using Open CV and DLIB 基于Open CV和DLIB的驾驶员困倦检测
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127437
D. R., Saarika R Nair, R. Jayaraj
The driver drowsiness system is a concept that can be used to prevent accidents caused by drivers in sleepy or fatigued conditions. This paper aims to solve this problem by identifying the driver’s eye movements and yawning actions and providing a beep alert when the driver is detected to be drowsy. By using machine learning techniques and hardware components, we can minimize accidents caused by driver drowsiness.To prevent accidents, we need the driver to be awake. Inorder to wake up the driver a 15 second of continuous sound is played Considering all these features, the algorithm is chosen in such a way that the model provides decent accuracy.
驾驶员困倦系统是一个概念,可以用来防止驾驶员在困倦或疲劳的情况下造成事故。本文旨在通过识别驾驶员的眼球运动和打哈欠动作,并在检测到驾驶员昏昏欲睡时提供蜂鸣声警报来解决这一问题。通过使用机器学习技术和硬件组件,我们可以最大限度地减少驾驶员困倦造成的事故。为了防止事故,我们需要司机保持清醒。考虑到所有这些特征,算法的选择使模型提供了不错的准确性。
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引用次数: 0
Automatic Billing Trolley 自动计费小车
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127314
Vaishali Jabade, Mayur Talewar, Supriya Surve, Sameer Tadavi, Soham Tak
Shopping has bewitched everyone nowadays. Most people visit the nearby supermarkets to do shopping, which causes long queues on billing counters. Hence, we designed a small design to do the billing work fast and accurate. Using this system, we will be able to see the gross prize of the products added in the cart, so that at the counter, customer will not have to scan the products and generate bill. This design will help both the customers and supermarkets. It can be implemented using Arduino Nano, Radio Frequency Identification (RFID) tags and reader module, LCD display and other basic components.
如今购物使每个人都着迷。大多数人去附近的超市购物,这导致结账柜台前排起了长队。因此,我们设计了一个小的设计,使计费工作快速和准确。使用这个系统,我们将能够看到购物车中添加的产品的总奖金,这样在柜台,客户就不必扫描产品并生成账单。这个设计对顾客和超市都有好处。它可以使用Arduino Nano、射频识别(RFID)标签和读写模块、LCD显示屏等基础组件来实现。
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引用次数: 1
Compact Circular Polarized Ant-formed Rectangular slot mm-wave Antenna for 5G Satellite Communication 5G卫星通信用紧凑型圆极化抗成形矩形槽毫米波天线
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127331
Ramya Vasudevan, V. Nagaraju
In this paper, a compact circular polarized Antformed rectangular slot antenna is presented. The proposed antenna consists of an Ant-shaped rectangular patch rotated 0°. To achieve an Axial ratio below 3 dB and to improve the AR bandwidth the proposed antenna is rotated at 45° and 135° respectively. In both directions, the axial ratio falls below 3dB which forms circular polarization. To validate this design, the antenna is designed using a simulation software HFSS with the overall dimensions of 13 x13x1.6 mm3. The simulated impedance bandwidth (IMBW) for | Sll |< -10dB of the proposed antenna is 5.75% and the simulated axial ratio bandwidth (ARBW) <3dB is 7.07% and peak gain is from 5. 4dB to 4.1dB within 3dB ARBW. This proposed circular polarized antenna is suitable for 5G non-geostationary satellite communications and falls under the ka band.
本文提出了一种紧凑的圆形极化反形矩形缝隙天线。该天线由一个旋转0°的蚁形矩形贴片组成。为了实现低于3db的轴向比并提高AR带宽,所建议的天线分别旋转45°和135°。在两个方向上,轴比都小于3dB,形成圆偏振。为了验证该设计,采用仿真软件HFSS对天线进行了设计,其整体尺寸为13 x13x1.6 mm3。该天线在< -10dB时的模拟阻抗带宽(IMBW)为5.75%,<3dB时的模拟轴比带宽(ARBW)为7.07%,峰值增益为5。3dB ARBW范围内4dB至4.1dB。该圆极化天线适用于5G非对地静止卫星通信,属于ka频段。
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引用次数: 1
Design and Web Development of E-Voting System 电子投票系统的设计与Web开发
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127445
Mullapudi V Ramanatha Subrahmanya Kiran, S. Suchitra, K. Arthi, N. Senthamarai, M. Jayaselvi
Voting plays a very important role in electing a candidate in the government and private organizations these days. Voting system’s integrity and privacy are the main challenges in developing a voting system. The person who is voting a particular party should not be known by everyone which is a concern to privacy of the voter and the voting system should give correct results which shows the integrity of the voting system. One single vote may be responsible to change the entire result of the polling. So, voting system should be designed in such a way that each vote should be given its own importance and that should not get tampered by the hackers. So to solve this problem we are developing a full stack web application on voting system which does not compromises with integrity, privacy and security. This project has been developed using a server-side scripting language PHP. As the name server-side suggests the code which has been written cannot be accessible to the client thus it ensures privacy and security.
如今,在政府和民间组织中,投票在选举候选人方面起着非常重要的作用。投票系统的完整性和隐私性是开发投票系统所面临的主要挑战。投票给某一政党的人不应该被所有人知道,这是对选民隐私的关注,投票系统应该给出正确的结果,显示投票系统的完整性。一张选票可能会改变整个投票的结果。因此,投票系统应该以这样一种方式设计,即每个投票都应该被赋予自己的重要性,而不应该被黑客篡改。因此,为了解决这个问题,我们正在开发一个完整的堆栈web应用程序的投票系统,它不会损害完整性,隐私和安全性。该项目是使用服务器端脚本语言PHP开发的。正如名称服务器端所暗示的那样,已经编写的代码不能被客户端访问,因此它确保了隐私和安全。
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引用次数: 0
Intelligent Fuel Pump System with RFID and the Internet of Things 基于RFID和物联网的智能燃油泵系统
Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127542
A. Shanmugapriya, A.Sangeetha Devi, A. Kalaivani, K. SuganyaDevi
This RFID-Technology automated gasoline pump system handles the immediate delivery of fuel based on the value of the RFID prepaid card. Each user will have a unique RFID card that may be refilled using pre-paid funds. A microcontroller-based device called a radio-frequency identification (RFID) system lowers the need for human labour while accurately pouring fuel. By rejecting the card, it prevents unlawful use. The system is greatly safeguarded in this way. RFID is a flexible, popular technology with many real-time applications. As it involves less monitoring, eliminates human error, lowers capital costs, and provides insights for better decision-making, it improves operational efficiency. The system will calculate the time of operation for the electrical fuel pump and start the operation for the fuel bestowing once the user decide on the anticipated amount using the keypad and the RFID in this task. When the pump reaches the user-specified value, the system will automatically turn it off.
这种RFID技术自动汽油泵系统根据RFID预付卡的价值处理燃料的即时交付。每个用户都将拥有一张独特的RFID卡,可以使用预付资金重新充值。一种被称为射频识别(RFID)系统的基于微控制器的设备在精确倾倒燃料的同时降低了对人力的需求。通过拒收信用卡,可以防止非法使用。通过这种方式,系统得到了极大的保障。RFID是一种灵活的、流行的技术,具有许多实时应用。由于它涉及较少的监控,消除了人为错误,降低了资本成本,并为更好的决策提供了见解,因此提高了运营效率。系统将计算电动燃油泵的运行时间,一旦用户在此任务中使用键盘和RFID确定预期的数量,系统就会开始运行燃料分配。当水泵达到用户设定的数值时,系统将自动关闭水泵。
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引用次数: 0
期刊
2023 International Conference on Networking and Communications (ICNWC)
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