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Analysis of Cognitive Emotional and Behavioral Aspects of Alzheimer's Disease Using Hybrid CNN Model 使用混合CNN模型分析阿尔茨海默病的认知、情绪和行为方面
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072126
R. Prabha, G. Senthil, P. Suganthi, Divya Boopathi, M. Razmah, A. Lazha
{"title":"Analysis of Cognitive Emotional and Behavioral Aspects of Alzheimer's Disease Using Hybrid CNN Model","authors":"R. Prabha, G. Senthil, P. Suganthi, Divya Boopathi, M. Razmah, A. Lazha","doi":"10.1109/ICCPC55978.2022.10072126","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072126","url":null,"abstract":"Alzheimer's disease is a brain related disorder which occurs by the growth upon unnecessary growth of protein in and around the brain cells. This disease causes memory loss in the human that makes them do activities slowly and repeatedly. The patients who suffer the disease couldn't handle the money properly, they repeat the questions often and they suffer challenges in planning. To some extent it makes the interactions with the environment complicated. Being a cruel disease, this should be analyzed and treated in the initial state. Thus, predicting disease is essential. This paper explains how machine learning algorithms helps patients to get predicted and classified on Alzheimer's disease. The algorithms used in the papers includes VGG-16, DENSENET-121, CNN. As it is a hybrid model, the efficiencies of the algorithms are compared and found an efficient result at the end of the research.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125925425","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
Sensor-based espial of potholes and humps on roads with instant notification alert using IoT 基于传感器的道路坑洼和驼峰，使用物联网进行即时通知警报
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072130
G. Prakash, S. Raadha, T. Swami, E. Mahalakshmi
{"title":"Sensor-based espial of potholes and humps on roads with instant notification alert using IoT","authors":"G. Prakash, S. Raadha, T. Swami, E. Mahalakshmi","doi":"10.1109/ICCPC55978.2022.10072130","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072130","url":null,"abstract":"Potholes are hollow detrimental structural impairment in areas of road surface that have splintered, eroded, and eventually formed a depression of varying depths depending upon the extent of the damage. It can potentially impair the quality of road infrastructure and road efficiency. It makes roads bumpy and causes misalignment of wheels and tire damage. It is the main reason for road anomalies and casualties. Manual detection of potholes in roads can be tedious, time-consuming, inaccurate, and inefficient. Hence, there is a need for efficient automated pothole detection system. Although several pothole detection techniques are being introduced, and efficient advancements are expected in the near future, there persists a major challenge in terms of cost-effective implementation. In this paper, various pothole detection techniques implementing different technologies are compared of their strengths and shortcomings and summarized. To implement a cost-effective pothole detection system, a sensor-based pothole detection system using ultrasonic sensors has been proposed. When the sensor detects the presence of potholes, it notifies the driver by sending an alert via mobile application which has to be integrated with detection system and the data can be stored in a server to intimate the government about road repairs and maintenance. The proposed method is simple and less expensive when compared to other methods. It can be widely used in a variety of automobiles. The possible future development plans that can be integrated with this system are also illustrated in this paper.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125934113","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
Two Stage Image Restoration based on Histogram Equalization and Edge Computation for Image 基于直方图均衡化和边缘计算的两阶段图像恢复
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072068
V. S. Kumar, V. Jayalakshmi
{"title":"Two Stage Image Restoration based on Histogram Equalization and Edge Computation for Image","authors":"V. S. Kumar, V. Jayalakshmi","doi":"10.1109/ICCPC55978.2022.10072068","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072068","url":null,"abstract":"Image restoration is the basic technology in image processing to increase the contrast and brightness of the image. Also, this technique should help to characterize the content of an image with high efficiency. It is widely used in many applications. This paper introduces the potential of the two stages functional in an image for image restoration. In the first stage, pair wise pixel histogram equalization is introduced to enhance the image content. For the betterment in the visual quality of foreground region present in the image, the image are analysed by finding edges of the object in the second stage. Also, markov chain transition is used for efficient edge detection.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122582592","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
Classification of Credit Card Transactions Using Machine Learning 使用机器学习的信用卡交易分类
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072269
G. Senthil, R. Prabha, R. Priya, D. Boopathi, S. Sridevi, P. Suganthi
{"title":"Classification of Credit Card Transactions Using Machine Learning","authors":"G. Senthil, R. Prabha, R. Priya, D. Boopathi, S. Sridevi, P. Suganthi","doi":"10.1109/ICCPC55978.2022.10072269","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072269","url":null,"abstract":"In the finance domain the main difficulty faced by the customers is the fraudulency in crediting the amount. Since the evolution of credit cards increased, the frauds on the other hand joined its hand. Previously, many rule based methods were to detect the fraudulent which were not efficient in handling the wide range of variables. But it is necessary to identify the fraud to avoid customer paying unnecessary credit. Because it can be more fascinating and crucial in the security sector, identifying fraud in the payment of credit cards system. To avoid this problem of fraudulent activity in credit card system machine learning model is developed with the three algorithms. Those three algorithms indulged in the model include logistic regression, random forest classifier, bernoulli naive bayes classifier. The efficiency obtained using logistic regression is 96% and with random forest classifiers is about 98% and with naive bayes it is 95%. Thus, the model analyses the best among the three machine learning algorithms.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124067044","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 Effective Method for Distinguishing Breathing and Infant Sleep Apnea Detection and Prevention using Python 用Python识别呼吸和婴儿睡眠呼吸暂停的有效方法
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072223
M. Bennet, K. Subha, R. Kumutha, V. Rajmohan
{"title":"An Effective Method for Distinguishing Breathing and Infant Sleep Apnea Detection and Prevention using Python","authors":"M. Bennet, K. Subha, R. Kumutha, V. Rajmohan","doi":"10.1109/ICCPC55978.2022.10072223","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072223","url":null,"abstract":"A frequent sleep disorder that is difficult to diagnose is sleep apnea (SA). ECG analysis has been cited in recent publications as a useful technique for identifying sleep apnea. It is more important than ever to develop new techniques for identifying the condition because the ECG alterations brought on by sleep apnea are not immediately apparent. One of the most efficient computer-assisted diagnostic techniques is machine learning (ML). ML employs cutting-edge diagnostic methods based on prior clinical outcomes. Sleep apnea is a condition in which people pause to breathe while sleeping. This can be a major concern for infants and preterm infants. Monitors that rely on nerves attached to the body can be complex and movement nerves are not always accurate. This function is intended to build a device that is more efficient without having to make direct contact with the body that can accurately detect sound breathing and issue appropriate warnings when you stop. If further analysis of respiration speed and size is required it may be a valid concern, although that will also require refinement of the filtering system or second processing of the original samples.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123164071","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
Triple Band RFID Antenna Implemented with Fractal Configuration 分形结构实现的三频带RFID天线
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072033
G. Valarmathi, M. Pown, V. Chitra, M. Sundararajan, R. Hema
{"title":"Triple Band RFID Antenna Implemented with Fractal Configuration","authors":"G. Valarmathi, M. Pown, V. Chitra, M. Sundararajan, R. Hema","doi":"10.1109/ICCPC55978.2022.10072033","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072033","url":null,"abstract":"In this paper multi-band RFID Reader and tag antennas are proposed. The objective of the research is to realize two triband antennas are to be design and implement the same using fractal structures as a radiating element. The reader is designed with modified fractal tree and the corresponding center frequencies are 3.6GHZ, 5.8GHz and 8.2GHz. The tag antenna designed with recursive rectangular fractal structure and the respective frequencies are 3.9 GHz, 5.8GHz and 8.2GHz. The proposed antennas are used for Item level management, RFID toll fee collection and telemetry application respectively. Both antennas achieved good read range.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114533","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
Comparative study using different convolutional neural network models to predict leaf diseases in plants 利用不同卷积神经网络模型预测植物叶片病害的比较研究
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072085
Ayushi P. Shah, Amit K. Mittal
{"title":"Comparative study using different convolutional neural network models to predict leaf diseases in plants","authors":"Ayushi P. Shah, Amit K. Mittal","doi":"10.1109/ICCPC55978.2022.10072085","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072085","url":null,"abstract":"The four common types of leaf diseases are Rust, Scab, Multiple diseases, Healthy. Effects of certain bacteria, micro-organisms and fungi affect the growth and development of leaves which can be stopped by early detection and accurate identification of leaf diseases and can also insure less spreading of infection and a healthy development of leaf takes place. This research paper use image pre-processing and can generate high recognition rates for leaf diseases. A dataset of 3642 images is taken and trained by different models like VGG16, ResNet50, InceptionV3, InceptionResNetV2 with the help of deep learning algorithm like convolutional neural networks and transfer learning approach for real time detection of leaf diseases. By training the leaves based on the proposed models we will be able to know the diseases present in the leaves. The purpose of this research paper is based on the comparison of accuracy given by different models when they are trained.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552082","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
Long Range (LoRa) Fire Fighter In Dense Forest 远距离(LoRa)消防员在茂密的森林
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072080
Subhra Debdas, Anwista Chakraborty, Harshit Kumar Verma, Arpita Kushwaha, D. V. P. Varma, Arkajyoti Karmakar
{"title":"Long Range (LoRa) Fire Fighter In Dense Forest","authors":"Subhra Debdas, Anwista Chakraborty, Harshit Kumar Verma, Arpita Kushwaha, D. V. P. Varma, Arkajyoti Karmakar","doi":"10.1109/ICCPC55978.2022.10072080","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072080","url":null,"abstract":"IoT in today's world is becoming the most potential concept that can solve any major problems of M2M industries. IoT applications span a wide range of domains including (but not limited to) the environment, energy systems, homes, cities, logistics, agriculture, industries, and majorly in the prevention of natural disasters. One such implementation of IoT is the LoRaWAN protocol which is used majorly in the IoT field to solve current alarming issues faced commonly all over the world. At present days forest fires have become a major issue in dense forests which can be solved with the help of this protocol. There is a need for developing a management technology for this sort of issue to be solved. Forest fires are becoming a serious threat to humans and nature both in terms of lives and the economy. Proper methods should be adapted to reduce the risks. In any case of wildfire, the reaction should be fast and handled tactically, to extinguish the root sources of fire in their initial stages before they can convert into a wildfire. This paper proposes a method that is capable of detecting forest fires that occur deliberately or by accident over long distances in dense forests and providing a necessary response.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117318883","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
Intelligent Classification of Brain Cancers by Deep Learning with Inception Network 基于Inception网络的深度学习脑癌智能分类
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072278
V. Hamsaveni, S. Maniraj, R. Krishnaswamy, K. Radhika, V. Venkataramanan, S. Renukadevi
{"title":"Intelligent Classification of Brain Cancers by Deep Learning with Inception Network","authors":"V. Hamsaveni, S. Maniraj, R. Krishnaswamy, K. Radhika, V. Venkataramanan, S. Renukadevi","doi":"10.1109/ICCPC55978.2022.10072278","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072278","url":null,"abstract":"Brain cancer is a complex disease, and it is increasing rapidly. Although the incidence rate of brain tumours is lower than other cancers, it is still the most serious disease threatening human lives. For effective treatment, detecting and diagnosing brain tumours are essential by an accurate and quick method. Though there has been an interest in using pattern recognition techniques to classify and grade tumours from Magnetic Resonance Imaging (MRI) images, effective and accurate grading remains difficult and subjective. This paper employs deep learning with the inception concept to classify the MRI brain images. A simple architecture is designed with convolution layers, max-pooling layers for feature extraction, and a fully connected layer for classification. 200 MRI images from the Repository of Molecular Brain Neoplasia Data (REMBRANDT) are used. Experimental results show that the proposed architecture obtains the best accuracy of 98% with a 0.01 learning rate and 20 epochs.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114506684","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
Use of Printed Circuit Board as Filler in Composite Material: A Review 印制电路板作为复合材料填料的应用综述
2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072186
D. Sivamani, Aran.K Vigneshw, D. Shyam, R. Ramkumar, Ashree.K Jay, P. Lakshmi
{"title":"Use of Printed Circuit Board as Filler in Composite Material: A Review","authors":"D. Sivamani, Aran.K Vigneshw, D. Shyam, R. Ramkumar, Ashree.K Jay, P. Lakshmi","doi":"10.1109/ICCPC55978.2022.10072186","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072186","url":null,"abstract":"The widespread adoption of electrical and electronic devices during the past two decades has generated a mountain of electronic garbage. Because of the gravity of the problem posed by the brisk accumulation of electronic waste, a great deal of work is being done on a global scale to find ways to reuse and repurpose old electronics while also creating new environmentally friendly products. We conducted a literature review in which we discussed e-waste generation in different states and presented recycling methods and reuse technologies that have been reported. Both developing and developed economies are essential to the goal of sustainable resource recovery and recycling. It has been determined that recycling non-metallic fraction (NMF) from used printed circuit boards (PCBs) can be a profitable way to manufacture composite material that is both sustainable and widely accepted.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134020597","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
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