2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)最新文献_第7页

Cotton Plant Disease Prediction using Deep Learning 基于深度学习的棉花病害预测

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051527

S. Sreeja, V. Asha, Binju Saju, Paunikar Priti Chandrakantbhai, Pramrish Prabhasan, Arpana Prasad

{"title":"Cotton Plant Disease Prediction using Deep Learning","authors":"S. Sreeja, V. Asha, Binju Saju, Paunikar Priti Chandrakantbhai, Pramrish Prabhasan, Arpana Prasad","doi":"10.1109/C2I456876.2022.10051527","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051527","url":null,"abstract":"Cotton is one of the economical important crops in the Ethiopia, but there are so many various types of restrictions in the leaves areas. Most often these are restricted to identified most of the diseases in the leaves or the pests that are difficult to see the diseases with the naked eyes. This study is focusing on the developing on the model to improve the detection of cotton leaf diseases and then pests are using Convolutional Neural Network (CNN) deep learning technology. To do this further, the researchers are used the common cotton leaf diseases and the pests, this type of bacteria is rotten and bollworm. Similarly we can say approximate of the samples are the 2400 (600 images in each class) they were used in this further study for training purposes. In this paper, it is tried with developing a model and tried implementing it by using python version. The accuracy for the classification of cotton leaf illnesses and the pests will be studied by using the model. An accuracy of 96.4% for the classification of cotton leaf illnesses and the pests using this model is obtained.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121383954","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

A Device Using Voice Over Ethernet 一种使用以太网语音的设备

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051554

Nithyananda, Elumali. R

{"title":"A Device Using Voice Over Ethernet","authors":"Nithyananda, Elumali. R","doi":"10.1109/C2I456876.2022.10051554","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051554","url":null,"abstract":"One of the typical challenges faces in bigger institutes like Schools, colleges or academic institutions is to communicate to a larger audience conveniently. This paper talks about the solution to the challenge of developing a system that is scalable and adaptable using simple voice signal data compression techniques and existing wired Ethernet (IEEE 802.3) LAN network infrastructure at the premises. This system helps in broadcasting an announcement to a larger audience at distance and followed by questions and answers. This is a typical requirement where ISDN-based expensive solutions are not required. The motivation behind this solution is usually any big institute will have wired ethernet connectivity installed for other data communication. A simple system developed using a development board that contains analog to digital converter, digital to analog converter, enough compute power for speech data compression. This system records voice, converts it into digital data, reduces inherent redundancy in the data using a simple compression technique, and either broadcasts or point-to-point communication over the ethernet network using Unix sockets","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115429054","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

Application of Hybrid Signal Processing Technique in Protection of Series Compensated Transmission Line 混合信号处理技术在串联补偿输电线路保护中的应用

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051276

Abhishek Gupta, R. Pachar

引用次数: 0

Investigation of Corrosion Intensity on Metal Structures Using Image Processing Algorithms 基于图像处理算法的金属结构腐蚀强度研究

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051605

Virupaxayya V. Hosallimath, A. Awati, M. Patil

{"title":"Investigation of Corrosion Intensity on Metal Structures Using Image Processing Algorithms","authors":"Virupaxayya V. Hosallimath, A. Awati, M. Patil","doi":"10.1109/C2I456876.2022.10051605","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051605","url":null,"abstract":"An investigation of corrosion intensity on metal structures using corrosion detection algorithms is one of the advanced methods for corrosion detection since the traditional method is time-consuming for vast areas and impossible to investigate in inaccessible areas. Estimation of the intensity of the corrosion by humans may not have much accuracy, and false analysis of the metal surfaces may lead to the destruction or loss of the material. To cater to the above needs intelligent corrosion detection algorithms are developed, which automatically detect and inspect the corrosion on metal surfaces by using a series of photographic images. percentage of black pixels is one of the parameters for analyzing the corrosion intensity. The first algorithm initially converts the RGB image to a grayscale image and it is binarized using Otsu's method, and from the binary image, PBP is calculated. The higher the value of PBP higher is the corrosion intensity. Another approach made to investigate the corrosion is by verifying the roughness and smoothness of the metal surface since a rough surface indicates the presence of corrosion. This is achieved by calculating the energy of the image, which is one of the properties of GLCM.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480430","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

IEEE Copyright and Consent Form IEEE版权及同意表格

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/c2i456876.2022.10051186

引用次数: 0

Deep Learning Approach For Human Emotion-Gender-Age Recognition 人类情感-性别-年龄识别的深度学习方法

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051197

S. Suraj, V. M. Sapna

引用次数: 0

Pituitary Tumor Classification using Machine Learning 基于机器学习的垂体肿瘤分类

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051344

S. Sreeja, V. Asha, Binju Saju, Preethi T S, Prajwal

{"title":"Pituitary Tumor Classification using Machine Learning","authors":"S. Sreeja, V. Asha, Binju Saju, Preethi T S, Prajwal","doi":"10.1109/C2I456876.2022.10051344","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051344","url":null,"abstract":"One of the more extreme problems that influences the two, kids and grown-ups is a cerebrum cancer. 85 to 90 percent of all essential Focal Sensory system malignancies are mind cancers. Around 11,700 patients are given a mind cancer finding every year. For the individuals who have a harmful cerebrum or Central Nervous System growth, the 5-year endurance rate is generally 34% for guys and 36% for ladies or women. In this paper, it is used with the classifiers to detect the tumor in human they are CNN, KNN, Logistic regression and SVM algorithms. Benign, malignant, pituitary, and other types of brain tumors are all classified. KNN-Classifier is used to categories tumors, and cross-validating accuracy score and hyperparameter tuning are used. The cross validation includes the experimental simulation with the best average score for K. Hyper parameters of the KNN Classifier state the best score when approaching the prediction with the highest accuracy score. Convolutional neural networks (CNNs) are used in our method to investigate discriminative information while integrating multi-layer dictionary learning. From the comparisons it is been analyzed that CNN Classifier has the best performance and achieved with 85.24 % accuracy.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123641","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

Solar Energy Based Multi-Utility Bag 基于太阳能的多功能袋

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051194

P. Hemachandu, C. Nagendra, G. G. Kumar, M. Pavani, B. A. Kumar

引用次数: 0

Experimental Verification of Peak Load Reduction through DR Inspired IoT- based HEMS 基于DR启发的物联网HEMS降低峰值负荷的实验验证

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051389

A. Ajithaa, S. Radhika

{"title":"Experimental Verification of Peak Load Reduction through DR Inspired IoT- based HEMS","authors":"A. Ajithaa, S. Radhika","doi":"10.1109/C2I456876.2022.10051389","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051389","url":null,"abstract":"Handling load conditions during peak hours is a challenging task for utilities due to continuously growing demand for electricity. This often necessitates for new capacity installations by the utilities with more capital and resources. Also, residential consumers utilizing power at peak hours have to pay increased charges despite possible load rescheduling options. To avoid this, herein a demand response program inspired load management (LM) and scheduling method for the residential consumers is proposed. The proposed method was simulated and experimentally verified by designing an internet of things (IoT) based home energy management (HEM) system. The energy management module automatically manages the consumer prioritized residential loads during high peak load conditions. Simulation studies of two different cases of load categorization results in significant power savings of 50% and 92% respectively. The simulated results are validated using an IoT based HEM experimental set-up and the observed experimental results were also in line with the simulated results giving a correlation factor of about unity. Overall, it is understood that there is a potential to leverage this method in real-time residential energy management programs, which would be cost-effective for utilities as they no need to for new installations or procurement of energy and for consumers through energy bill savings.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130309024","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

An Efficient Approach for the Wireless Transmission of Fair Data over a OFDM Systems for Improved Channel Parameters 一种改进信道参数的OFDM系统公平数据无线传输的有效方法

2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051625

Suresh Chinnathampy M, A. A, A. T., A. A, Jessie A, Laranya Shree M. D

{"title":"An Efficient Approach for the Wireless Transmission of Fair Data over a OFDM Systems for Improved Channel Parameters","authors":"Suresh Chinnathampy M, A. A, A. T., A. A, Jessie A, Laranya Shree M. D","doi":"10.1109/C2I456876.2022.10051625","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051625","url":null,"abstract":"Massive multiple-input multiple-output (MIMO) is a technology that can be integrated into fifth generation (5G) communication systems because it can provide degree of freedom (DoF) and high transmission rate by placing hundreds of horns on the base station (BS). For downscaling the energy consumption, it is expected that the application of analog to digital convertors (ADCs), as discussed earlier, will be costly and consistent with the concept of green connectivity in current large MIMO systems. However, radio frequency (RF) degradation, which is inevitable in real-world systems, causes unexpected phase / phase quadrature (IQI) imbalances and reduces the performance of the baseband signal. As a result, a large calculated MIMO is needed to compensate for the IQI results, which encourages us to build work on this paper. This work proposes an effective system for transferring data from sender to recipient with the acceptance of an improved channel. The results obtained show better results in terms of data transfer.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125755278","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