2023 2nd International Conference for Innovation in Technology (INOCON)最新文献_第8页

Alzheimer’s Disease Classification On sMRI Images Using Convolutional Neural Networks And Transfer Learning Based Methods 基于卷积神经网络和迁移学习方法的sMRI图像阿尔茨海默病分类

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101314

P. Sai, C. Anupama, R. V. Kiran, P. Reddy, N.Naga Goutham

引用次数: 0

Hotel Information System Management Audit Using COBIT 2019 - APO12 使用COBIT 2019 - APO12进行酒店信息系统管理审计

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101245

Joy Nashar Utamajaya, Suhono Harso Supangat, F. Gaol, B. Ranti

{"title":"Hotel Information System Management Audit Using COBIT 2019 - APO12","authors":"Joy Nashar Utamajaya, Suhono Harso Supangat, F. Gaol, B. Ranti","doi":"10.1109/INOCON57975.2023.10101245","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101245","url":null,"abstract":"In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company’s business goals. Given the large contribution of information technology in the application of hotel applications as a supporting information system, it is a vital system that must avoid risks that can hinder and cause harm to the hotel management business processes. Therefore, it is necessary to carry out risk management using the COBIT 5 framework to manage possible risks that may occur based on the APO12 (Manage Risk) domain. From the evaluation results of the data obtained through observation and interviews as well as the calculation of the results of the questionnaire based on 6 APO12 subdomains, the results of the risk management level capability assessment in hotel applications are still at level 3 or have reached the level of established process with the target to be achieved at level 4 resulting in a gap of 1 level. Based on the results obtained, it is necessary to propose recommendations that can be used by hotels in improving the application of information technology risk management so that in the future it can achieve the expected target level so that the APO12 level of capability can increase and become more optimal.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116640889","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

Automating the Machine Learning Process using PyCaret and Streamlit 使用PyCaret和Streamlit自动化机器学习过程

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101357

Nikhilesh Sarangpure, Vipul Dhamde, Ankita Roge, Janhawi Doye, Shivam Patle, Sukhad Tamboli

引用次数: 0

Application Analysis of Computer Technology in Cross-Border E-Commerce Environment 计算机技术在跨境电子商务环境中的应用分析

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101374

Zejian Dong

引用次数: 0

Design and Implementation of a Method for Diagnosing Various Stages of Alzheimer’s Illness Using Deep Learning 基于深度学习的不同阶段阿尔茨海默病诊断方法的设计与实现

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101263

P. Rachana, B. Rajalakshmi, P. Guna Keerthi., S. Kavya, R. Likitha.

引用次数: 0

Comparative Analysis of Different Shading Patterns in Case of Total Cross Tied Connection for Solar PV Panels 太阳能光伏板全交扎连接时不同遮阳方式的比较分析

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101360

Ravikant Verma, S. Gupta, Anamika Yadav

{"title":"Comparative Analysis of Different Shading Patterns in Case of Total Cross Tied Connection for Solar PV Panels","authors":"Ravikant Verma, S. Gupta, Anamika Yadav","doi":"10.1109/INOCON57975.2023.10101360","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101360","url":null,"abstract":"In the present time the overuse of fossil fuels for energy production not only causes the extinction of these fuels but also significantly worsens the environment. The best alternative for achieving a better environment is to include renewable energy-based generation. Solar power is the most efficient option on the list and produces the most power. The sun insolation, temperature, angle of inclination, and partial shade conditions all affect how much power the photovoltaic (PV) panel can produce. The common causes of shading of PV arrays are passing cloud, buildings, trees, poles communication towers, chimneys, adjacent panels, leaves, snow, bird droppings etc. Partially shaded solar panel provides P-V curve which has multiple peaks. However, in order to get the most influence, it is crucial to comprehend and anticipate them. This paper takes into consideration different shading patterns for TCT connection under the parameters like Fill Factor, Power Loss, percentage power output. Power against voltage and current against voltage characteristics are plotted for various shading conditions in case of TCT connection and the output is compared for respective shading patterns. It was found that the diagonal shading pattern produces the maximum output. The results obtained by simulating the TCT connection for different shading condition is compared conclusion is made as to which shading pattern yields maximum output with minimum losses. The comparison tells that crosswise shading pattern gives maximum output.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114890436","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 Innovation Development of Cost Wise Task Scheduling Model for Complex Transmission in Ultra Dense Cloud Networks 超密集云网络中复杂传输成本智能任务调度模型的创新发展

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101059

M. Arvindhan, Hitesh Singh

引用次数: 0

Low Power DET Flip-Flops Using C-Element 使用C-Element的低功耗DET触发器

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101275

Aravind M Abhishek, M. Veena, S. Archana

引用次数: 0

Stock Prices Prediction Using Machine Learning 利用机器学习预测股票价格

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101226

Aditi Gupta, Akansha, Khushboo Joshi, Madhu Patel, Ms. Vibha Pratap

{"title":"Stock Prices Prediction Using Machine Learning","authors":"Aditi Gupta, Akansha, Khushboo Joshi, Madhu Patel, Ms. Vibha Pratap","doi":"10.1109/INOCON57975.2023.10101226","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101226","url":null,"abstract":"Precise prediction of the stock market is incredibly difficult due to how volatile and non-linear it is. The growth of artificial intelligence and improvements in processing power have increased the accuracy of programmed methods of prediction in predicting stock values. In this paper, we used Multilayer Linear-Regression, Convolutional Neural Network (CNN), and long short-term memory (LSTM) algorithms to analyze the price trends over different time periods to predict the closing price of five companies, operating in different sectors. The final features we used were open, high, low, and close prices (OHLC), which were chosen using data pre-processing techniques. The dataset we used was made up of daily prices from 3 November 2012 to 3 November 2022. The number of previous days that would be required to predict the current day’s closing price is known as the sequence length. Then, using a different set of information, we adjusted this length and evaluated the accuracy. Our models performed the best for a sequence length of 5 and LSTM outperforms other models for each company’s dataset with different sequence lengths.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204690","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

Optimal Utilization of Water for Smart Farming Using Internet of Things (IoT) 利用物联网(IoT)优化水的智能农业利用

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101227

Madhusudhana Reddy Barusu, P. Pavithra, Pallem Setty Rani Chandrika

{"title":"Optimal Utilization of Water for Smart Farming Using Internet of Things (IoT)","authors":"Madhusudhana Reddy Barusu, P. Pavithra, Pallem Setty Rani Chandrika","doi":"10.1109/INOCON57975.2023.10101227","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101227","url":null,"abstract":"The agriculture is a very important sector of Indian economy. The farming is facing various challenges present days. The main problem faced in today’s agriculture by farmers is the lack of knowledge of the requirement of the water for the crops. The farmers provide the excess amount of the water or insufficient water for the crop. In this competitive world, farmers not only depend on farming for their livelihood, but also on other occupations. Hence, there may be disturbance in watering crops. This may lead to a decrease in water levels for the crops and sometimes excess water which may also lead to damage of the crop. To get rid of this problem, smart farming system is developed using Internet of Things (IoT). Using this, the farmer comes to know about the moisture content in his field through messages that will be received. Not only just a message, in a smart agriculture system he also can water the field automatically. The main advantage of this paper is that farmers need not to spend his time to decide how much water need for specific crops. Here, moisture sensors placed in the field with the predefined quantity of the water, programmed it with a keyword mois. When the moisture reaches or above the scale value, the motor gets automatically turned off and vice versa. A soil moisture sensor is used to calculate the moisture values in the soil and gives an input to the smart farming system, consists of ESP32 and the data obtained from the sensor is sent to the cloud. The thingspeak is used as cloud, where the data gets stored. The proposed system also updates the information regarding the status of moisture levels regularly with messages to the owner. Later, the website is designed using thingspeak URL and the messages are displayed in the website.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123386831","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