2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)最新文献_第7页

Basal Cell Carcinoma Prediction in Pigmented Skin Infection using Intelligent Techniques 应用智能技术预测色素皮肤感染中的基底细胞癌

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073849

Siva Prasad Reddy K.V, Archana K.S

{"title":"Basal Cell Carcinoma Prediction in Pigmented Skin Infection using Intelligent Techniques","authors":"Siva Prasad Reddy K.V, Archana K.S","doi":"10.1109/ICAIS56108.2023.10073849","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073849","url":null,"abstract":"Melanoma is considered as a most lethal form of cancer. Design and development of computer-aided intelligent algorithms for early detection of skin cancer is the emerging research area. Despite many conventional mechanisms, a new type of cancer caused by unrepaired Deoxyribonucleic acid (DNA) within the skin cells. Due to its nature of rapid genetic mutations on the skin, it widely affects other body parts if not treated at early stages of intelligent computing evidenced the development of automated medical diagnosis and recommendation systems. It is possible to identify between melanoma and other classification of skin cancer based on the symmetry, color, size, form, and other characteristics of lesions. Numerous efforts are made by many researchers to develop various deep learning and machine learning inspired classification and segmentation algorithms to analyses skin lesion images. In existing the algorithm used for this research was naïve bayes, support vector machine etc. Here, after several methods such as data pre-processing, image segmentation, feature extraction and the feature extraction and the proposed algorithm of adaboost method, which is used to tune the algorithm to predict the skin infection. Finally, the proposed model has achieved 92.5% accuracy when compared with existing work.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338225","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

Photovoltaic System based Interleaved Converter for Grid System 基于光伏系统的交错变换器并网系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073708

K. M, Jones Nirmal L, Jenin Prabhu R, S. P

{"title":"Photovoltaic System based Interleaved Converter for Grid System","authors":"K. M, Jones Nirmal L, Jenin Prabhu R, S. P","doi":"10.1109/ICAIS56108.2023.10073708","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073708","url":null,"abstract":"The MPPT controller of a photovoltaic (PV) system fluctuates, increasing solar irradiance, and has complex voltage-current properties. To balance the solar PV system towards the load and design the solar energy system on MPPT, a two-cell interleaved DC-DC boost connected with an inverter is utilized. Using just load voltage statistics, a voltage control technique is created, excluding array current monitoring. When compared to non-coupled pair interleaved conversions, the current conversion design has lower ripple contents from the loads and supply sides, better efficiency, as well as lower switch stress. Consequently, a decreased array capacitance value is enough to stabilize the array voltage output. For maximum power point functioning, analytical formulas for the solar supply and interleaved boost converter are constructed. The power interleaved converter is functioning using the control technique of MPPT, the Perturb and Observe (P&O) algorithm is employed, and the power is supplied to the alternating voltage conversion, and it is connected to the voltage source converter. The modeling and experimental findings are presented here to demonstrate how well suited that particular kind of power converter is for the application. In addition, a comparison of coupled and non-coupled interleaved boost converters for solar applications is performed.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"58 30","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000136","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

Arduino based Dual Axis Smart Solar Tracking System 基于Arduino的双轴智能太阳能跟踪系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073860

M. Karthik, R. Vishnu, M. Vigneshwar, M. Logaeshwar

引用次数: 0

IoT based Early Flood Detection, Destruction Avoidance and Automated Dam Gate Control System 基于物联网的早期洪水检测、破坏避免和自动闸门控制系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073890

Jenyfal Sampson, R. Nandakishore Reddy, M. Venkata Janardhan Reddy, Myla Chandra Narayana, R. Varun Kumar

引用次数: 0

An Efficient Artificial Bee Colony based Optimized Model for Load Prediction in IoT Enabled Smart Grid 基于高效人工蜂群的物联网智能电网负荷预测优化模型

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073810

J. Manju, R. Manjula, Ritesh Dash

{"title":"An Efficient Artificial Bee Colony based Optimized Model for Load Prediction in IoT Enabled Smart Grid","authors":"J. Manju, R. Manjula, Ritesh Dash","doi":"10.1109/ICAIS56108.2023.10073810","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073810","url":null,"abstract":"In order to maintain a balance between demand and supply, the Internet of Things (IoT) enabled Smart Grid (SG) plays a critical role in establishing a Demand Response (DR) program. It is all about Demand Side Management (DSM) in SG’s system. When IoT gadgets are programmed to turn on and off according to supply and demand, they become an essential part of the smart grid load prediction system and help to balance energy use. This research use Artificial Bee Colony (ABC) optimization model for load prediction in the smart grid environment. To effectively predict the load in the SG, an Efficient Artificial Bee Colony Optimized Model for Load Prediction in Smart Grid (EABCOM-LPSG) model is proposed in this research. The Artificial Bee Colony (ABC) algorithm is as warm-based meta-heuristic technique used for numerical problem optimization. It was inspired by honey bees’ clever foraging behavior. The proposed method’s two-step prediction system, specifically developed to improve forecasting precision as one of its major advantages. A major benefit of the suggested method is that it can statistically examine the effects of several major aspects, which is extremely useful when selecting attribute combinations and deploying on-board sensors for smart grids with large areas, diverse climates, and different social conventions. The proposed model when contrasted with traditional model exhibits better performance levels.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468079","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 Nighttime Monitoring System for Combined Structural Stability based on Infrared Image Recognition 基于红外图像识别的组合式结构稳定性夜间监测系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073660

Jieqi Li, Shaoqiang Guo, Wei Li

引用次数: 0

An Integrated Usage of Bidirectional LSTM and Computer-based Cognitive Attention to Categorize Speech Stutters 综合运用双向LSTM和基于计算机的认知注意对言语口吃进行分类

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073818

Krishna Basak, Vineet Sharma, Sarangh Ramesh Kv, Nilamadhab Mishra

引用次数: 0

Cloud based Landslide Detection and Alerting Nearby People by using IoT Technology 基于云的滑坡检测和利用物联网技术提醒附近的人

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073773

B. Gopi, J. Premalatha, R. Kalaivani, D. Ravikumar

{"title":"Cloud based Landslide Detection and Alerting Nearby People by using IoT Technology","authors":"B. Gopi, J. Premalatha, R. Kalaivani, D. Ravikumar","doi":"10.1109/ICAIS56108.2023.10073773","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073773","url":null,"abstract":"Landslides are one of the most devastating natural disasters that can strike a region. They are caused by the movement of large amounts of earth, rock, and other material down a slope. Landslides are caused by rain, snow, and other precipitation that causes soil to become saturated and unable to support the loads that are placed on it. Landslides can also be triggered by earthquakes or human activities such as mining, construction, and quarrying. Internally generated Internet of Things network and system acquisition generation Landslides were detected using humidity sensors, accelerometers, and vibration sensors, as well as GPS and a siren to inform people. You may charge a little price for this sensor, and if the fee surpasses the basic cost, you can approximately watch people in preparation of an imminent landslide, and big losses are avoided. The microcontroller collects and updates statistics from websites using the MQTT protocol. These telemetry flights can assist folks become aware of an oncoming crisis and have a better understanding of the situation.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124678135","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

Transfer Learning for Rice Leaf Disease Detection 水稻叶病检测的迁移学习

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073711

S. Gopi, Hari Kishan Kondaveeti

引用次数: 3

Investigating the Performance of a Dual-Axis Solar Tracking System in a Tropical Climate 热带气候条件下双轴太阳跟踪系统的性能研究

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073903

Amanoollah Khurwolah, V. Oree

{"title":"Investigating the Performance of a Dual-Axis Solar Tracking System in a Tropical Climate","authors":"Amanoollah Khurwolah, V. Oree","doi":"10.1109/ICAIS56108.2023.10073903","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073903","url":null,"abstract":"This paper presents the design and implementation of a dual-axis solar tracker that allows the PV panel on which it is mounted to capture maximum solar energy throughout the day. The device tracks the azimuth and elevation angles of the Sun as it moves across the sky to maintain the PV panel perpendicular to sunlight at all times. Four light sensors are used for this purpose and an Arduino microcontroller processes their signals to actuate driving mechanisms that maintain the orthogonal position of the PV panel with respect to sunlight. The mechanical structure of the solar tracker is designed in such a way as to minimize its inherent energy consumption so that the overall energy performance is optimized. The prototype is tested in the tropical island of Mauritius. Previous studies have shown that the energy performance of solar tracking systems is highly dependent on the climate, with negligible energy gain achieved in very hot regions. Results indicate that improvements of 30.5% and 28.5% in the total energy output of the PV panel are obtained compared to a fixed PV panel on a cloudy and sunny day respectively.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122760461","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