2022 International Conference on Computer, Power and Communications (ICCPC)最新文献_第3页

A Literature Survey on Artificial Intelligence-Based Smart City Automation Using LoRa and IOT for Street Lights and Air Quality Check 基于人工智能的智慧城市自动化:LoRa和IOT用于路灯和空气质量检测的文献综述

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072071

Ashokkumar S.R, Harihar R, S. R, Naveen Prasaath S

引用次数: 0

A Relative Survey on Vertical Handover Mechanisms in Internet of Vehicles 车联网垂直切换机制相关研究

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072162

P. P. Kumar, P. P. Kumar, K. Sagar, R. Akshay

{"title":"A Relative Survey on Vertical Handover Mechanisms in Internet of Vehicles","authors":"P. P. Kumar, P. P. Kumar, K. Sagar, R. Akshay","doi":"10.1109/ICCPC55978.2022.10072162","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072162","url":null,"abstract":"Internet of Vehicles (IoV) is a new term coined recently and it is a integration of popular technology Internet of Things (IoV) and Intelligence Transportation Systems (ITS). The main aim of IoV is to provide V2X (here X: the vehicles to communicate with other vehicles, Rode Side Units (RSU), pedestrians, humans and Infrastructure). As many radio access networks are involving and leading to heterogeneous networks the 5G can ensures the better seamless connectivity in V2X communication. In the scenario of heterogeneous networks vehicles mobility demands for frequent handover. The most important technologies required for V2X communication are cellular networks and Dedicated Short-Range Communication (DSRC). These two has their own merits and demerits. DSRC covers limited area with low latency whereas 5G offers higher data rates and with low latency by covering wider cell area. Hence, it is not possible to fulfil the requirements of V2X communication with only one of above technologies. To ensure effective V2X communication inter working of cellular network technologies and DSRC is required. Earlier research was focused on selection of network directly for handover. Due to this, the frequent handover was took place, handover failure occurred and Quality of Service (QoS) not ensured. Hence, in this paper a review is carried out to compare existing works and presented.","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":"128854183","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

Deep Learning assisted Cervical Cancer Classification with Residual Skip Convolution Neural Network (Res _ Skip _ CNN)- based Nuclei segmentation on Histopathological Images 基于残差跳跃卷积神经网络(Res _ Skip _ CNN)对组织病理图像进行核分割的深度学习辅助子宫颈癌分类

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072233

R. Laxmi, B. Kirubagari, S. LakshmanaPandian.

{"title":"Deep Learning assisted Cervical Cancer Classification with Residual Skip Convolution Neural Network (Res _ Skip _ CNN)- based Nuclei segmentation on Histopathological Images","authors":"R. Laxmi, B. Kirubagari, S. LakshmanaPandian.","doi":"10.1109/ICCPC55978.2022.10072233","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072233","url":null,"abstract":"Cervical cancer (CC) remains the second most typical cancer in women internationally having a death too of sixty percent. CC starts with nil obvious symptoms and possesses a lengthy latency turning initial diagnosis via periodical health checks extremely significant. The problem of automatic technique to identify CC is proffered for enhancing the detection's precision. The CC histology source images will be required for employing image preprocessing to lessen the effect resulting from the images noise alongside the effect upon succeeding accurate feature extraction resulting in impertinent background. The images will be segmented employing the Residual Skip Convolution Neural Network (Res_Skip_CNN) centered upon 4 renowned discriminative attributes: i) nuclei's proportion to the cytoplasm, ii) nuclei's diameter, iii) shape factor, iv) nuclei's roundness. The random forest classification paradigm would be considered as an input to the cervix's segmented image having the epithelium layer for aiding the diagnostician in CC detection. We assess the execution of the proffered Res_Skip_CNN with RF (Res_Skip_CNN-RF) classifier opposing the Herley datasets employing a variable classes quantity while doing image classification. Consequently, it is observed that the proffered Res_Skip_CNN-RF attains 95% of Accuracy, 93% of Precision, 89% of Recall, and 85% of Fl-Score.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"12 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":"125265933","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

Speech Emotion Recognition: Node.js and Web Speech API 语音情感识别:Node.js和Web语音API

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072048

C. Raghavendra, P. Nagarani, R. S. Rani

引用次数: 0

IoT Based Automative Drive Recorder As Black Box 基于物联网的自动驾驶记录仪作为黑匣子

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072081

A. Ponmalar, B. Chandra, S. Aarthi, G. Bhavana, A. A. Jose, S. Gomathi

{"title":"IoT Based Automative Drive Recorder As Black Box","authors":"A. Ponmalar, B. Chandra, S. Aarthi, G. Bhavana, A. A. Jose, S. Gomathi","doi":"10.1109/ICCPC55978.2022.10072081","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072081","url":null,"abstract":"Automotive electronics performs a good sized function in the vehicle enterprise and presents pricey capabilities and greater importantly addresses the protection and safety concerns. The paintings provided on this paper targets at supplying a value powerful strategy to the layout and improvement of an occasion statistics recorder which has been essentially followed from the aviation area thinking about the want and the correlated benefits. The mission affords an included layout of the black box by the simple capabilities of the statistics recorder which will be precise beneficial for home automobiles and on the identical period it additionally hosts numerous extra capabilities that would help in mitigating the range of injuries, or at naked minimum, will function an evaluation device to save you destiny injuries through studying the preceding injuries. The black box additionally presents automated coincidence notification machine which allows in informing the closest health facility and the visitors authority through supplying now no longer handiest the coordinates of the coincidence however additionally the precise bodily cope with for instant scientific interest that can shop several lives each day. The black box additionally hosts numerous different capabilities superior internet monitoring whenever and from anywhere. Thus the general value is tremendously optimized through integrating such more than one capabilities.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"41 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":"130755892","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 Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries 研究型医药行业智能临床试验调查方法分析

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072260

Saravanan Obuli, T.P. Udhayashankar, R. U. Mageswari, G. Saritha, J. Surendiran, R. G. Vidhya

{"title":"An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries","authors":"Saravanan Obuli, T.P. Udhayashankar, R. U. Mageswari, G. Saritha, J. Surendiran, R. G. Vidhya","doi":"10.1109/ICCPC55978.2022.10072260","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072260","url":null,"abstract":"Research is being done to investigate whether the corpses of patients who have died without a treatment may be kept alive until a cure is discovered. Researchers are looking at the possibility of treating, freezing, and reviving their bodies once a cure for the disease is discovered. Nitrogen is used to keep the temperature of the human and animal bodies used in this study at less than one percent. Whether or not this experiment holds up when nitrogen gas is present is unknown. Despite this, they have a positive outlook on the future. Studies have shown that the mortality rate for patients whose surgeries take place at night is higher than that of those whose procedures took place during the day. In this work, we look at a comprehensive analysis of research drug companies conducted with the use of clinical trial investigation methods. Clinical research is described as a quality improvement process with the goal of bettering care and patient outcomes by meticulous comparison to predetermined criteria and the implementation of change. There are many statistical thresholds in the proposed model: 99.56% for cross-sectional calculations, 97.52% for population calculations, 95.18% for event-controlled modelling, 97.53% for clinical trial reporting. . and 96.34% for confounding variables.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"48 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":"128499721","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

An Optimized Machine learning model for Automatic Prediction of Cervical Cancer Using Decision Tree Classifier 基于决策树分类器的宫颈癌自动预测优化机器学习模型

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072089

N. Meenakshisundaram, G. Ramkumar

{"title":"An Optimized Machine learning model for Automatic Prediction of Cervical Cancer Using Decision Tree Classifier","authors":"N. Meenakshisundaram, G. Ramkumar","doi":"10.1109/ICCPC55978.2022.10072089","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072089","url":null,"abstract":"Cervical cancer is the fourth leading cause of death from illness in women worldwide. The human papillomavirus, also known as HPV, has been linked to the development of cervical cancer. The discovery that cervical cancer can be prevented through earlier monitoring has contributed to a reduction in the disease's overall burden around the world. Women in underdeveloped countries do not participate in adequate monitoring programs due to the high expense of the methods required to undertake examinations regularly, low levels of awareness, and restricted access to medical facilities. By proceeding with this method, a very high level of danger is to be anticipated for the specific patient. In this article, we suggested a Decision Tree Classifier to predict cases of cervical cancer. However, in this analysis of cancer data, a total of 32 risk factors are deemed to be related to four different target variables: Hinselmann, Schiller, Cytology, and Biopsy. In comparison to the conventional techniques, the outcomes demonstrated that the composite classification technique was suggested to be effective for the study of cervical cancer.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"10 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":"128599805","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

Simulation of Reduced Switch Multilevel Inverter With New Topology For Less THD 基于新拓扑的低THD减开关多电平逆变器仿真

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072047

D. Krishnan, G. Prakash, N. Vengadachalam, R. Amaleswari, K. Eswaramoorthy

引用次数: 0

The Exploration of a High Voltage Gain DC-DC Lift Converter for Fuel Cell Electric Vehicles 用于燃料电池汽车的高压增益DC-DC升力变换器的研制

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072178

K. P. Dinakaran, Anbarasi Jebaselvi G. D

{"title":"The Exploration of a High Voltage Gain DC-DC Lift Converter for Fuel Cell Electric Vehicles","authors":"K. P. Dinakaran, Anbarasi Jebaselvi G. D","doi":"10.1109/ICCPC55978.2022.10072178","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072178","url":null,"abstract":"An increased focus on the environment is reflective of the historical influences present in today's educated and progressive culture. Because of the concentration of environmental impacts and the progress made in mitigating them via scientific study. Vehicles account for 30% of the aforementioned causes of environmental damage. Despite the fact that many academic papers are devoted to the topic of electric vehicles (EVs), the industry is still struggling to meet the needs of consumers who are concerned about issues such as the length of time it takes to charge the batteries and the damage done to the environment during the production of lithium ion cells. The fuel cell car is an option that might be considered instead of battery operated EVs. From my perspective, the FCEV is advantageous since it is built with a high voltage gain and a low voltage stress on the device. In order to get the feasible voltage in automobiles and electronics, this article focused on the high voltage gain DC-DC converter. The aforementioned DC-DC converter's functionality is stress-tested in MATLAB Simulink. The converter's expected output is specified, and a corresponding graph is shown.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"138 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":"132030149","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 and Robust Model for Cervical Cancer Risk Classification based on Random Forest Classifier 基于随机森林分类器的高效鲁棒宫颈癌风险分类模型

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072264

N. Meenakshisundaram, G. Ramkumar

{"title":"An Efficient and Robust Model for Cervical Cancer Risk Classification based on Random Forest Classifier","authors":"N. Meenakshisundaram, G. Ramkumar","doi":"10.1109/ICCPC55978.2022.10072264","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072264","url":null,"abstract":"As per the World Health Organization, cervical cancer is the fourth most common type of cancer that has a high fatality rate. This disease affects women all over the world, particularly in low-income and middle-income nations. Cancer of the cervix is one of the types of cancer that most freq uently strikes women and affects their reproductive organs. It takes place when cells that are normally found in the cervix transform into malignant cells. The human papillomavirus (HPV), which is spread through sexual activity, is the most important risk factor for developing cervical cancer. There is a significant amount of interest in machine learning, and scientists generally examine its application in every possible setting. Using a Random Forest classifier, the primary purpose of this work is to categorize the clinical dataset of cervical cancer to determine the type of cervical cancer test. Because the dataset is unbalanced and is lacking a significant amount of value, it must be going through an intensive data pre-processing phase. The effectiveness of categorization was tested were quantified using confusion matrices. This was done to establish the efficiency power of every categorization technique.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"32 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":"121229417","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