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7th International Conference on Computing in Engineering & Technology (ICCET 2022)最新文献

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Water body area identification and classification using hyperspectral images 基于高光谱图像的水体区域识别与分类
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0597
M. Kalaiyarasi, Swaminathan Saravanan, S. Karthi, K. Karunanithi, P. Priya
{"title":"Water body area identification and classification using hyperspectral images","authors":"M. Kalaiyarasi, Swaminathan Saravanan, S. Karthi, K. Karunanithi, P. Priya","doi":"10.1049/icp.2022.0597","DOIUrl":"https://doi.org/10.1049/icp.2022.0597","url":null,"abstract":"The water resource monitoring system based on satellite images has a significant drawback, that it does not deliver reliable data. Main drawbacks in the existing methodologies are, the water resources and their existence could not be correctly recovered, and the results obtained were not conspicuous. The proposed system properly retrieves the existence of water resources and allows monitoring using satellite images. In the proposed system, deep learning based segmentation and SVM classifier have been adopted, which properly retrieves the existence of water resources. The proposed method has been applied on the pond in Karur district and has been found that, 8% of water resource has been reduced during 2019-2020. The proposed method produces the outcomes with the Accuracy of 98% when compared with other existing methods. This method may be used to track water resources with ranges in the future, as well as monitor occupied spots in water resources throughout all districts.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125187418","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: 0
Linear motion humidifier for mushroom cultivation 蘑菇栽培用直线运动加湿器
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0616
P. Santhosh, K. Sharan, K. Paramasivam, S. Subash
{"title":"Linear motion humidifier for mushroom cultivation","authors":"P. Santhosh, K. Sharan, K. Paramasivam, S. Subash","doi":"10.1049/icp.2022.0616","DOIUrl":"https://doi.org/10.1049/icp.2022.0616","url":null,"abstract":"India's current mushroom production rate is approximately 1500 tons, while the daily demand for mushrooms is around 75 to 100 tons. Even though new technologies are being developed, the need is not satisfied due to various illnesses afflicting mushroom farms. Fungal diseases such as dry, wet, and cobweb diseases are caused by water stagnation in mushrooms. Maintaining 80-95 percent RH for an extended period in a specific bag limits productivity and harvest quality by reducing cropping surface or damaging mycelium. To address this, pesticides that lower the nutritional value of mushrooms are utilized. Rather than utilizing a water-chemical spraying approach, the problem was solved by using a modified ultrasonic humidifier, which distributes humidity linearly, assuring uniform mist distribution throughout the mushroom sacks and stable RH. Despite the high cost in India, which makes it unaffordable due to the market's high-priced humidifiers, a designed low-cost ultrasonic humidifier is used based on the mechanical principles that emphasize aspects of chemical usage prevention, production rate optimization, and cost-efficiency in the mushroom sector via the deployment of a solution which could have neutralized fungal development and consolidated the fungal infection.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126023754","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: 0
Breast cancer detection using optimized hidden convolutional neural network 基于优化隐卷积神经网络的乳腺癌检测
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0585
A. Sable
{"title":"Breast cancer detection using optimized hidden convolutional neural network","authors":"A. Sable","doi":"10.1049/icp.2022.0585","DOIUrl":"https://doi.org/10.1049/icp.2022.0585","url":null,"abstract":"Breast cancer is the deadlier ailment, and it is the vital cause for augmented death rates in women. Mammography is the principal method for diagnosing breast cancer. Currently, diagnosing breast cancer using mammogram images is a versatile task. Here, the proposed system develops a novel scheme for detecting breast cancer. Initially, erosion and dilation are done during pre-processing. Then the features, including Local Binary Pattern (LBP) and Gray Level Run-Length Matrix (GLRM), are extracted. Further, to resolve the issue of dimensionality, the features are chosen optimally via a new algorithm termed Lion Integrated FireFly Algorithm (LI-FF). Then, an optimized CNN is introduced in the detection phase that portrays the detected results precisely. Remarkably, the same LI-FF model fine-tuned CNN's weights and hidden neuron counts. At last, the superiority of the developed approach is proved on various measures.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116464335","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: 0
The state of the art design methodology of sierpinski carpet fractal structures in microstrip patch antenna 微带贴片天线中sierpinski地毯分形结构设计方法的研究现状
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0632
R. Kalaiyarasan, G. Nagarajan, S. Seenuvasamurthi
{"title":"The state of the art design methodology of sierpinski carpet fractal structures in microstrip patch antenna","authors":"R. Kalaiyarasan, G. Nagarajan, S. Seenuvasamurthi","doi":"10.1049/icp.2022.0632","DOIUrl":"https://doi.org/10.1049/icp.2022.0632","url":null,"abstract":"Demand in wireless applications is due to low cost, low weight, compact size, single-band, and multiband frequency characteristics. Researchers anticipate numerous approaches to reach their goal. The patch antenna comprises 3 layers. Patch shapes are in the form of rectangle, triangle, circle, square, etc. Different types of substrates like Rogers, FR-4, RT Duroid, Foam, etc., are used in fractal antenna depending upon the demand of applications. Feeding techniques like coaxial feed, microstrip line feed, proximity feed, aperture feed, etc., can be used based on the requirement of antenna design. As a result, the current distribution of the antenna becomes better in carpet fractal antenna. Patch antennas are operated in GHz and THz frequencies. This paper presents a comprehensive survey on Sierpinski carpet fractal structures, including design expressions and applications.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128980344","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: 1
Blockchain technology: a special survey for new era 区块链技术:新时代专题调研
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0602
A. Singh, G. Gupta
{"title":"Blockchain technology: a special survey for new era","authors":"A. Singh, G. Gupta","doi":"10.1049/icp.2022.0602","DOIUrl":"https://doi.org/10.1049/icp.2022.0602","url":null,"abstract":"People have been experiencing their dependency on the centralized agencies. However, there are still many transforms that need to be witnessed. The objective of this paper is focused upon creating awareness about the technology among the people on which people can have faith and trust. Provided an overview of the technology and its existing architecture and futuristic integrations of blockchain technology. A special case of India has been taken by researcher to pointing out the application of blockchain in a country. The technology has specific solutions for different sectors as it has been discussed in this paper.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130671026","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: 0
Tractor drawn turmeric harvester 拖拉机牵引的姜黄收获机
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0617
B. S. Hari, S. K. Yeasigan, S. K. Tharane Tharan, D. Tharun Pranav
{"title":"Tractor drawn turmeric harvester","authors":"B. S. Hari, S. K. Yeasigan, S. K. Tharane Tharan, D. Tharun Pranav","doi":"10.1049/icp.2022.0617","DOIUrl":"https://doi.org/10.1049/icp.2022.0617","url":null,"abstract":"Turmeric is a natural herb used as a spice in varieties of food. It originated from India. It can be grown in diverse tropical conditions. The plantation starts during January-March. Harvesting takes place after 9 months of planting. In the manual method of harvesting, the farmers are facing significant problems. Though a mechanized way of harvesting machines is available, it is not affordable for small-scale farmers. To eliminate the difficulties those cultivators face, a tractor-drawn turmeric harvester is designed by reducing the cost of the machine and making it compact to harvest in small farmlands. So that the small-scale farmers can easily afford the machine. The prototype model of the harvesting machine is made with the help of a mild steel frame structure. The damages caused during conventional manual digging methods are reduced with our implemented system. Because of this, the demand for labourers and massive cost consumption is reduced. The better harvesting efficiency by mechanized harvesting would enable the farmer to realize an additional percent of the yield with minor damage to their crops.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"97 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113940350","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: 0
Design optimization in patch feed line of a circular patch antenna array 圆形贴片天线阵贴片馈线的优化设计
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0634
T. Kanade, A. K. Rastogi, S. Mishra, V. Chaudhari
{"title":"Design optimization in patch feed line of a circular patch antenna array","authors":"T. Kanade, A. K. Rastogi, S. Mishra, V. Chaudhari","doi":"10.1049/icp.2022.0634","DOIUrl":"https://doi.org/10.1049/icp.2022.0634","url":null,"abstract":"Circular microstrip patch antennas with discontinuities in their feed line is presented in this paper. The antennas are composed of a radiating patch, and step discontinuities are given in its feed lines to improve the performance. The three circular microstrip planar array antennas through various signal excitation lines are computationally designed, and PCB etched, and their performance is analyzed based on various feed lines. The proposed array antenna operates in the ISM band at 2.45 GHz. The HFSS is used to design and perform the simulations. A prototype of an antenna effective at 2.45 GHz has been PCB etched and verified for concept demonstration. S11 [dB] at 2.45 GHz is −21.143 dB for straight feed line, −22.0 dB for one step feed line, and −24.72 dB for two-step feed line. The computational and practical outcomes illustrate that the S11 [dB] is enhanced for circular microstrip patch array antennas with two-step feed lines. The simulated and measured scattering parameters and radiation patterns show that they are in good agreement.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128604515","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: 1
Design and implementation of error detection and correction system for semiconductor memory applications 半导体存储器错误检测与校正系统的设计与实现
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0641
T. Satyanarayana, V. A. Qureshi, G. Divya
{"title":"Design and implementation of error detection and correction system for semiconductor memory applications","authors":"T. Satyanarayana, V. A. Qureshi, G. Divya","doi":"10.1049/icp.2022.0641","DOIUrl":"https://doi.org/10.1049/icp.2022.0641","url":null,"abstract":"VLSI RAM chips build memories in all modern computers. Hence, these devices are highly reliable and can last for decades before a single chip fails. While combining many chips in a single memory, more time is taken to operate. When binary data is written into the memory, the presence of defective chips causes errors. This paper implements the error correction and detection system design for semiconductor memory applications. The primary intent of this paper is to detect and correct errors in an effective way. As a result, the reliability and speed of operation will be increased efficiently.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189742","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
Detection of mental disorder on social platform 社交平台上的精神障碍检测
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0612
Shraddha Jain, M. Jadhav, N. Kolambe, P. Bhavathankar
{"title":"Detection of mental disorder on social platform","authors":"Shraddha Jain, M. Jadhav, N. Kolambe, P. Bhavathankar","doi":"10.1049/icp.2022.0612","DOIUrl":"https://doi.org/10.1049/icp.2022.0612","url":null,"abstract":"Mental Disorders have expanded essentially since the world hit the pandemic. As the world is engaging with COVID-19, people likewise need to manage the increment in psychological wellness issues like depression, anxiety, and suicidal tendencies. While people have been working resolutely to keep their appearances covered, wash hands, and stay 6 feet away from everybody, including friends and family, people might not have acknowledged how the pandemic and isolation have worked on their emotional well-being. This exploration targets assembling a system that distinguishes any mental disorder. The detection will be completed by utilizing machine learning and deep learning techniques. Depression is seen as the biggest supporter of worldwide incapacity and significant justification for suicide. The target diminishing the number of suicides occurring, henceforth encouraging people to take the online test which would comprise of a review, and perceive their debilitate/lively state. Early detection makes way for future consideration and treatment. The aim is to build a model which connects the users to counseling services which will help clients to generate solutions to their problems and connect them to respective counselors.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127313791","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: 0
Image analysis using convolutional neural network to detect bird species 利用卷积神经网络进行图像分析，检测鸟类种类
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0592
A. Khot
{"title":"Image analysis using convolutional neural network to detect bird species","authors":"A. Khot","doi":"10.1049/icp.2022.0592","DOIUrl":"https://doi.org/10.1049/icp.2022.0592","url":null,"abstract":"Recognition for bird species is one of the most challenging tasks in visualizing a very abundant bird species. It is a subfield of object recognition and is meant to differentiate sub-categories. Furthermore, it aims to categorize the data, such as images. Therefore, identifying the bird species through images helps us acquire a more accurate result. Thus, we have developed a deep learning model to help users identify bird species. Meanwhile, deep convolutional neural networks have been very effective in dealing with images of having different dimensions and thus succeeding at tasks like object detection and classification, learning various features like edges, colors, etc. Thus, using the neural network model, we have taken 200 different species of birds in the form of images to classify. First, birds images were learned by a convolutional neural network (CNN) to identify the dominant features in the images. Then, we used the softmax function to obtain a probability distribution of bird characteristics. Finally, to obtain a more accurate result, we compare our GoogleLeNet model with the VGG16.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122454751","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: 1
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