2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)最新文献_第9页

Development and Installation of Multi-Level Inverter for Industrial Applications 工业应用多级逆变器的开发和安装

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010887

S. S. Kumar, B. Sudharsan, M. Subramanian, S. Srinath, S. K. Kumar

{"title":"Development and Installation of Multi-Level Inverter for Industrial Applications","authors":"S. S. Kumar, B. Sudharsan, M. Subramanian, S. Srinath, S. K. Kumar","doi":"10.1109/ICAISS55157.2022.10010887","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010887","url":null,"abstract":"This article develops a new design for single phase asymmetric cascade converters and implements it using the best hardware components. This solution drastically reduces the count of DC sources and semiconductor switches, thus reducing need for door drivers. The proposed multi-level inverter generates a display form with low THD output and high stepped voltage at the output. The setting is disproportionate and generates 31 various output voltages. MATLAB is used to validate digital software modelling and has been tested experimentally on laboratory-scale prototypes. The inverter was tested under conditions of stable and dynamic load changes. The combination of numerical and experimental results provides clear evidence that meets the expectations of theoretical elaboration. The proposed converter has the application in non-conventional energy. This is a major challenge to increase the self- confidence of researchers with low THD. For basic 13-level and advanced 31-level MLI, a number of parameters were analysed, including Cost Function (CF), Total Constant Voltage (TSV) and power reduction.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157412","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

Review of Power Generation Optimization Algorithms: Challenges and its Applications 发电优化算法综述:挑战与应用

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010965

A. Vijay, Wardah Afzal, M. Tariq, A. Mustafa, Aatika Shahzad

{"title":"Review of Power Generation Optimization Algorithms: Challenges and its Applications","authors":"A. Vijay, Wardah Afzal, M. Tariq, A. Mustafa, Aatika Shahzad","doi":"10.1109/ICAISS55157.2022.10010965","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010965","url":null,"abstract":"Optimizing the power system is challenging to address because power systems are enormous and complicated and can be impacted by several unanticipated occurrences. As a result, approaches to addressing these challenges should be an active main focus of this study. Energy users can optimize the power system to help the system run efficiently, cut down on peak load use, and minimize control adjustments. The new approaches and management techniques to ensure flexibility have emerged from the increasing trend of renewable energy integration with power generation uncertainty and availability. This paper contains a research study of different optimization algorithms. The pros and cons of recently used optimization techniques in power systems are briefly discussed in this paper. The algorithms that are discussed in this article are Power optimization algorithm (PSO), Genetic Algorithm (GA), Tabo Search Algorithm (TSA), Artificial Neural Network (ANN), Fuzzy Logic, Level Shifting Phase Disposition (LSPD), Simulated Annealing (SA) and Random Search Algorithm (RS). A thorough analysis of power optimization techniques, the difficulties with traditional approaches, and finally, the most modern optimization algorithms are covered. Overall, this review will strengthen the initiatives toward developing reliable and sustainable power systems using practical power optimization algorithms in future applications.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459587","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 Artificial Intelligence - based Multiple Regression Algorithm to indicate the Human Development in the Workspace 基于人工智能的多元回归算法在工作空间中人的发展指示中的应用

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010724

Tanyaa Singh, Anshul Mandawat, L. Mohit Reddy, Aakash Panchagnula, Darsh Pandya, Tanvi Salian

{"title":"Application of Artificial Intelligence - based Multiple Regression Algorithm to indicate the Human Development in the Workspace","authors":"Tanyaa Singh, Anshul Mandawat, L. Mohit Reddy, Aakash Panchagnula, Darsh Pandya, Tanvi Salian","doi":"10.1109/ICAISS55157.2022.10010724","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010724","url":null,"abstract":"Human instinct puts a high worth on development, and there is a natural desire to continue extending and changing in all features of our life. This improvement is unsurprising and stable in small kids and youngsters, simplifying it to notice. Is is actually required to develop and create as years progress, in spite of the fact that it could seem somewhat unique. As people spend most of their time at work, it is highly important to develop and grow expertly. Many individuals will like to look for another work in the event that the open door emerges on the off chance that there aren't opportunities for proficient headway at work. In a working environment where representatives are urged and upheld to work on their relational, close to home, and expert capacities, development and improvement are available. Such organizations offer different inside and outside choices for representatives to grow their range of abilities. This will help them with their current work and furthermore assist them with being prepared for expected future ones. A calling in human advancement oftentimes calls areas of strength for and correspondence capacities to more readily address an individual's issues and help in their improvement or mending. There are many positions and vocation ways you can take in the field of human turn of events, from helping specialists and clinical experts in a medical clinic to helping understudies in making scholarly progress. This research study characterize a lifelong in human turn of events and provide a rundown of 15 potential choices. The main aim of this research work is to use the regressive algorithms and compare it with the decision tree to analyze the performance and improve the accuracy of the regression algorithm.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472047","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

Sentimental Analysis on Social Media Dataset Using Different Algorithms in Machine Learning 使用机器学习中不同算法的社交媒体数据集情感分析

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10011134

Lavanya Y N, R. N, Sumanth K, Asha Rani K P, G. S

{"title":"Sentimental Analysis on Social Media Dataset Using Different Algorithms in Machine Learning","authors":"Lavanya Y N, R. N, Sumanth K, Asha Rani K P, G. S","doi":"10.1109/ICAISS55157.2022.10011134","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10011134","url":null,"abstract":"The total amount of data created for social networks is growing significantly every day. On social media, both public and private opinions on various topics or concerns are shared Various people use different media to keep themselves updated, especially in social media network sites, for example Facebook, Twitter, Instagram etc. An information shared on social media directly affects people's life. People occasionally responded well to it, while other times it had a negative effect on daily life. Sentiment analysis is a technique for examining the sentiment that is embedded in a remark. By using sentiment analysis, a powerful marketing tactic, and their advertising efforts, product managers can better grasp the opinions of their customers. It has a big impact on customer loyalty, satisfaction, marketing, advertising efficacy, and product adoption. The sentiment of your brand on social media is shown through this investigation. The sentiment scores are categorized as positive (+ve) and negative (-ve) by considering the Recurrent Neural Network (RNN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes, Convolution Neural Network (CNN), and Logistic Regression. In this work, Sentimental analysis is used to analyze a variety of data available on social media site including Twitter, Facebook, Instagram. Evaluation of performance was measured with accuracy. From the obtained results, it is observed that the Support Vector Machine outperforms all the other algorithms with an accuracy of 85.9% considered for the Twitter dataset, 94.4% for the Facebook dataset, and 84% for the Instagram dataset better than other algorithms.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"8 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116813459","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

Bi-Directional LSTM Classification of Emotions in EEG Signals 脑电信号中情绪的双向LSTM分类

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010827

Ashley Nand, I. Jebadurai, Ocheni Jeremiah, Getzi Jeba Leelipushpam Paulraj, Jebaveerasingh Jebadurai

引用次数: 0

Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study 基于混沌二元蚁狮优化的COVID-19医疗数据集特征选择方法

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10011032

M. Zivkovic, N. Bačanin, Andjela Rakic, Jelena Arandjelovic, Stefan Stanojlovic, K. Venkatachalam

{"title":"Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study","authors":"M. Zivkovic, N. Bačanin, Andjela Rakic, Jelena Arandjelovic, Stefan Stanojlovic, K. Venkatachalam","doi":"10.1109/ICAISS55157.2022.10011032","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10011032","url":null,"abstract":"Binary version of the ant lion optimizer (ALO) are suggested and utilized in wrapper-mode to pick the best feature subset for classification. ALO is a recently developed bio-inspired optimization approach that mimics ant lion hunting behavior. Furthermore, ALO balances exploration and exploitation utilizing a unique operator to explore the space of solutions adaptively for the best solution. The difficulties of a plethora of noisy, irrelevant, and misleading features, as well as the capacity to deal with incorrect and inconsistent data in real-world subjects, provide rationale for feature selection to become one of the most important requirements. A difficult machine learning problem is to choose a subset of important characteristics from a vast number of features that characterize a dataset. Choosing the most informative markers and conducting a high-accuracy classification across the data may be a difficult process, especially if the data is complex. The feature selection task is usually expressed as a bio-objective optimization challenge, with the goal of enhancing the performance of the prediction model (data training fitting quality) while decreasing the number of features used. Various evaluation criteria are employed to determine the success of the suggested approach. The findings show that the suggested chaotic binary algorithm can explore the feature space for optimum feature set efficiently.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803550","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: 3

Optimal Water Supply Scheduling Mechanisms using Bio-Inspired Algorithms for IoT-based Smart Water Distribution Network 基于物联网智能配水网络的生物算法优化供水调度机制

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10011121

S. J, M. Kowsigan

{"title":"Optimal Water Supply Scheduling Mechanisms using Bio-Inspired Algorithms for IoT-based Smart Water Distribution Network","authors":"S. J, M. Kowsigan","doi":"10.1109/ICAISS55157.2022.10011121","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10011121","url":null,"abstract":"The purpose of water distribution networks is to provide water to city residents. Even with climate change and decreasing precipitation, water distribution systems should be built to accommodate consumer demand. A Water Distribution Network (WDN) consists of pipes, valves, pumps, tanks, etc., to transfer potable water from reservoirs to consumer nodes. Internet of things (IoT) and information and communication technologies (ICT) are applied to water management systems (WMS) to make them smarter and more efficient. The physical devices of the water system are equipped with smart sensors and controllers so that real-time measurement of remote data such as smart meter reading, water tank level, valve condition, and pipe pressure rate can be gathered using smart sensors and broadcasted to the cloud via communication protocols. The data can then be examined, processed, and computed for the water authority board to make an ideal decision regarding the water supply scheduling in the WDN system to minimize the pump's operation cost and decrease water loss. Smart mobile devices are being utilized to inform consumers regarding their water usage and billing status. This paper will elaborate on the optimization algorithms performed to optimize the water resource scheduling model for the water distribution management system. Bio-inspired algorithms are used to optimize pump stations' scheduling by considering the pump's features like its start time, discharge time, and discharge capacity.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114540865","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

Kernelized Extreme Learning Machine Enabled Churn Predictive Financial Risk Assessment Model 核极端学习机支持的客户流失预测财务风险评估模型

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010834

U. Dimlo, Rosario Huerta-Soto, Laura Nivin-Vargas, John Tarazona-Jiménez, Carla Reyes-Reyes, N. Girdharwal

{"title":"Kernelized Extreme Learning Machine Enabled Churn Predictive Financial Risk Assessment Model","authors":"U. Dimlo, Rosario Huerta-Soto, Laura Nivin-Vargas, John Tarazona-Jiménez, Carla Reyes-Reyes, N. Girdharwal","doi":"10.1109/ICAISS55157.2022.10010834","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010834","url":null,"abstract":"Currently, Customer Relationship Management (CRM) methodologies replace the classical mass marketing principles with personalized marketing habits. The CRM primarily concentrates on effectual users which aids in making optimal decisions. For controlling customer churn, it becomes necessary to build successful and précised user customer churn prediction (CCP) method. The data mining (DM) and statistical methodologies were implied to create a churn prediction approach. Several DM techniques were provided for detecting loyal subscribers that are well-known as churn. CCP is regarded as a complicated procedure for decision makers and machine learning (ML) society because many times, non-churn and churn customers add similar features. Therefore, this paper presents a Kernelized Extreme Learning Machine Enabled CCP (KELMCCP) model. The presented KELMCCP model intends to effectually determine the existence and non-existence of churns using customer data. To perform this, the KELMCCP model employs the KELM classification model which is an extended type of ELM model. The KELM model follows global approximation by the use of incremental constructive feed-forward network with arbitrary hidden nodes. Here, the parameter tuning of the KELM model takes place using the bacterial foraging optimization (BFO) algorithm. The use of KELM model helps in accomplishing enhanced classification performance. In order to demonstrate the superior outcomes of the KELMCCP model, a wide-ranging experiment analysis is carried out and the outcomes are inspected in numerous aspects. The simulation results ensured the higher performance of the KELMCCP module over recent approaches.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225440","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

Cloud Computing based Symmetric Encryption Algorithm (Blueshift) 基于云计算的对称加密算法(blushift)

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010818

K. Uma Maheswari, V. Sumalatha

引用次数: 0

The Implementation of the Virtual Reality Technology in the Hotel Marketing Management using IoT 利用物联网实现虚拟现实技术在酒店营销管理中的应用

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10011068

Vijaya Vardan Reddy SP, Jagadeeswari B, Jaya Soundariya M B, Jeevitha M, D. Y.

{"title":"The Implementation of the Virtual Reality Technology in the Hotel Marketing Management using IoT","authors":"Vijaya Vardan Reddy SP, Jagadeeswari B, Jaya Soundariya M B, Jeevitha M, D. Y.","doi":"10.1109/ICAISS55157.2022.10011068","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10011068","url":null,"abstract":"In practically every aspect of our life, technology now reigns supreme. It has fundamentally changed how people perform daily jobs, making life simpler and more efficient. In the food business, however, it is less obvious, notably in the ordering food and serving parts of hotels, restaurants, and cafes. For meal ordering and service, most hotels in India still use pen and paper, which costs time and energy and contributes to customer dissatisfaction and restaurant losses. To address this issue, a touch-based digital smart system for managing the entire meal serving and ordering procedure is provided. The idea is to save clients time by providing amenities such as a vacancy list at the front desk and digital food ordering, resulting in increased customer satisfaction and helping the restaurant makes money. This method saves a lot of time, eliminates silly mistakes, reduces manpower, and improves customer service, good for both the restaurant and the client. By simply touching on the visible light dish names themselves, the designed VR projector model projects the names of the dishes on the table, such as idly, dosa, coffee, and so on. This is considered ordering the touched dish items by sending the corresponding sync value to the kitchen and mentioned with the table number. As a result, they can prepare and serve the desired dish to the appropriate tables.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806499","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