2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)最新文献_第4页

Identification of Fraud Transactions using Lightgbm Technique 利用Lightgbm技术识别欺诈交易

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064563

K. K. Krishna, J. P. Githika, Y. SriHarshitha, K. A. Sai, K. D. Sri

{"title":"Identification of Fraud Transactions using Lightgbm Technique","authors":"K. K. Krishna, J. P. Githika, Y. SriHarshitha, K. A. Sai, K. D. Sri","doi":"10.1109/ICICT55121.2022.10064563","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064563","url":null,"abstract":"In today's economic necessities, credit card theft is an emerging concern. The rate of cheat/fraudulent has been increased rapidly now-a-days, which causes significant monetary losses for many organizations, businesses, and branches of government. The number of these fraudulent are highly expected to increase in the future in a low time, which is why many investigators in the field have focused on early detection of fraudulent actions using inimical methods. Even so Due to two factors, identifying fraudsters is a difficult process. 1. different natural fraudulent actions for each minority sample overtake (fraud cases). When an oracle model receives input from a particularly unstable class distribution, the model favors mature observations. The data-level methodology, in which different re - sampling methods like down sampling, overfitting, and aggregation techniques are managed by an algorithmic approach, in which the same aggregation models as bagging and boosting are applied to a broad-slope dataset containing 28,807 transactions, is used to resolve this issue. Exactly 92 of these bids were found to be malicious. For predicting if a transaction is malicious or real, Oracle techniques such as logistic model, RF, and Light GBM have been integrated with various Machine Learning approaches. The recovery, accuracy, f1 score, precision recovery arc, and receiver basic characteristic curve were used to evaluate the precision. The findings suggest that the RF paired with the Synthetic Minority Oversampling Technology composite interpolation approach and Tomek association elimination outperforms other methods.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132274692","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

Lesion Isolation from Apple Plant Leaves Affected by Black Rot Disease using Optimized Masking on Various Color Channels 不同颜色通道优化掩蔽法分离苹果黑腐病叶片损伤

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064523

Aryan Gupta, A. Sinha, Shaleen Poddar

{"title":"Lesion Isolation from Apple Plant Leaves Affected by Black Rot Disease using Optimized Masking on Various Color Channels","authors":"Aryan Gupta, A. Sinha, Shaleen Poddar","doi":"10.1109/ICICT55121.2022.10064523","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064523","url":null,"abstract":"Apples were harvested on 308,000 hectares of land in 2020, according to the United Nations Food and Agriculture Organization, making it one of the most popular fruits in the country. According to the Economic Times, India's Apple imports more than doubled in 2021. Apples can only be grown in select parts of India, such as Jammu and Kashmir, Himachal Pradesh, Uttarakhand’ s hills, and Uttar Pradesh's plains. Botryosphaeria obtuse is the fungus that causes Apple black rot. On leaves, infections start as reddish-brown specks that grow into circular brown lesions (4–8 mm in diameter). The segmentation of the Apple black rot disease would benefit greatly from the lesion isolation or masking technique developed thus far in this project. After the ROI has been extracted, further processing can be done in the form of disease categorization, disease stage, correlation between the behaviour of different diseases, and so on. This will aid in the selection of better chemicals, insecticides, fertilisers, and agricultural techniques in general, reducing illness, increasing output, and increasing profit.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114940631","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

State-of-the-Art Methods for Fine-Grained Emotion Detection from Malayalam Text using Deep Learning: A Survey 利用深度学习从马拉雅拉姆语文本中进行细粒度情感检测的最新方法:综述

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064583

K. Anuja, P. Raj, Remesh Babu K R

引用次数: 0

Real-Time Sign Language to Text and Speech Translation and Hand Gesture Recognition using the LSTM Model 使用LSTM模型的实时手语到文本和语音的翻译和手势识别

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064562

Pragati Goel, Ashutosh Sharma, V. Goel, Vikas Jain

{"title":"Real-Time Sign Language to Text and Speech Translation and Hand Gesture Recognition using the LSTM Model","authors":"Pragati Goel, Ashutosh Sharma, V. Goel, Vikas Jain","doi":"10.1109/ICICT55121.2022.10064562","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064562","url":null,"abstract":"Communication is very important between People to people. People who are “Specially Abled,” with speech or hearing impairments, “Mute” or “Deaf” individuals, respectively, constantly rely on visual communication. Due to a lack of knowledge in sign language, people without visual or hearing impairments occasionally encounter problems and cannot interact with those seeking their help. They accept sign language well and make use of it to communicate. Building a system that can translate gestures into text and voice is necessary to enable two-way communication between persons with disabilities and the broader population. Translating these sign languages into text and voice can be highly beneficial since it will link the deaf/mute and the rest of society by enabling communication between the two groups. This research paper proposes a method for recording hand movements (sign language). It makes use of the Mediapipe platform, which successfully recognizes the hand and extracts the relevant information to feed into the model. After the model recognizes the sign language, words and alphabets are merged to form a sentence, which is then converted to speech. With LSTM, the suggested framework has demonstrated effective accuracy. According to a survey, CNN and LSTM produce results that are superior in quality and accuracy.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125348538","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

Measuring Environmental Parameters and Irrigation for Rose Crops using Cost Effective WSNs Model 利用成本有效的WSNs模型测量玫瑰作物的环境参数和灌溉

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064543

Divyansh Thakur, Y. Kumar, Pradeep Kumar Singh, Abhinav Juneja

{"title":"Measuring Environmental Parameters and Irrigation for Rose Crops using Cost Effective WSNs Model","authors":"Divyansh Thakur, Y. Kumar, Pradeep Kumar Singh, Abhinav Juneja","doi":"10.1109/ICICT55121.2022.10064543","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064543","url":null,"abstract":"In this paper, a cost effective sensing system is designed for measuring the environmental parameter of rose plat with the help of different sensors. The main objective of this work is to develop a model for precision agriculture. The proposed system is installed into a greenhouse and the task of this system is to collect data regarding temperature, humidity, soil moisture, intruders. The data transmission of the field is transmitted by using Wi-Fi communication technology. Further, a cloud layer is considered to store the collected data and collected data can access by user remotely and can also examine the growth of plant. The proposed system is implemented using Arduino board, different sensors like DHT11, PIR, Soil moisture, ESP8266, Water pump and Wi-Fi module. The proposed system is deployed in a rose field near to Kandaghat, Himachal Pradesh, India for observing different environmental parameters and irrigation needs of rose plants. It is observed that the proposed system effectively measures the various parameters for rose plants.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787036","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

Energy Cognizant Scheduling in Three-Layer Cloud Architecture: A Systematic Review 三层云架构中的能源认知调度系统综述

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064614

Shalini Tiwari, B. M

{"title":"Energy Cognizant Scheduling in Three-Layer Cloud Architecture: A Systematic Review","authors":"Shalini Tiwari, B. M","doi":"10.1109/ICICT55121.2022.10064614","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064614","url":null,"abstract":"Today’$s$ era is of intelligent devices connected to serve various real-time applications. These numerous IoT devices collect enormous amounts of data, which are then transferred to the cloud for further processing and analysis. Most of these tasks are delay-sensitive and require processing within their deadline. These tasks require high-speed computing and storage resources for their processing. Although the cloud layer provides enormous processing and storage capability, we can not ignore the amount of delay in response generation. Thus, other two lower layers, i.e., the Edge layer and the fog layer, should also be considered to develop an efficient algorithm for task scheduling and load balancing. These three layers vary in terms of resource availability and communication latency. Currently, the increased focus of many new researchers on improving the performance metrics in the cloud architecture, such as energy efficiency, resource utilization, and latency, leads to the requirement of a detailed review of previous work done in this area. Although many review articles are on the web, most focus only on a single layer. Thus, The current study considers all three layers, edge, fog, and cloud, to present a detailed systematic review of algorithms based on load balancing and scheduling at task and VM levels. This study aims to compare and analyze the available papers based on the focused layers, the methodology used, performance matrices, advantages, and future scopes.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788179","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

Pet Tracking System using LoRa 使用LoRa的宠物跟踪系统

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064587

C. Akhil, Deevi Pradith Iyengar, P. S. Manideep, B. Ganesh, E. Prabhu

{"title":"Pet Tracking System using LoRa","authors":"C. Akhil, Deevi Pradith Iyengar, P. S. Manideep, B. Ganesh, E. Prabhu","doi":"10.1109/ICICT55121.2022.10064587","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064587","url":null,"abstract":"This Paper proposes a design and implementation of an effective pet-location system by combining a smartphone with an Arduino UNO to create an IoT- based solution. A pet finding device is very beneficial for tracking a pet's movement from any place at any time. The system was motivated by the need to monitor pets, since 15 percent of pet owners lose their pets within five years and one-third of pets go missing in their lifetimes, according to a study on lost pets. The IoT has attracted a great attention in terms of industry and research applications in recent years, despite the fact that it is relatively affordable and simple to produce. Numerous devices that around us are linked to cloud computing under the IoT paradigm. There are several uses for IoT, including agriculture, smart cities, and healthcare. The developed gadget employs Global Positioning System (GPS), Global System for Mobile Communication (GSM), and Long-Range (LoRa) radio technology, which is one of the most used tracking methods. The gadget is integrated into a pet's collar, and its whereabouts will be calculated and monitored in real time. Controlling the GPS receiver, GSM module, and LoRa module is an Arduino UNO. The tracking system receives location data at frequent intervals from a GPS system. The GSM transceiver keeps track of the pet's whereabouts and sends information. This GSM sends SMS updates on the position of a pet every twenty seconds using a GSM modem if it is missing. The GPS coordinates are obtained by Arduino UNO and then sent to the user via SMS. This information is transmitted to the pet's owner through SMS using a GSM modem. The location can be seen on an LCD panel. On the mobile device, Google map displays the pet's location.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055998","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: 2

Efficient Binarization of Ancient Handwritten Vattezhuthu Documents 古代手写Vattezhuthu文件的有效二值化

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064503

MP Ayyoob, P. M. Ilyas

引用次数: 0

Influence of Time on Efficiency of Indian Capital Markets: Proposition of a Recommendation Engine 时间对印度资本市场效率的影响:一个推荐引擎的命题

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064531

Gaurav Nagpal, S. Inani, Ankita Nagpal, Ritik Gupta, Samyak Jain, Sanjana Khowal, Saurabh Shahdadpuri

引用次数: 0

Automated System for Lung Nodule Classification Based on ResNet50 and SVM 基于ResNet50和SVM的肺结节自动分类系统

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064515

Shital D. Bhatt, Himanshu B. Soni, H. Kher, T. Pawar

引用次数: 0