2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)最新文献_第4页

Wireless Capsule Endoscopy using Localization Techniques over IMU Sensor and Side-wall Cameras 基于IMU传感器和侧壁相机的定位技术的无线胶囊内窥镜

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047005

Sakshi Singh, Ranveer Singh

引用次数: 0

Implementation of Ant Colony Optimization Algorithm for Load Balancing Routing in MANET Network 蚁群优化算法在MANET网络中负载均衡路由的实现

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10046688

Saurabh Kumar Srivastava, Anil Agarwal

{"title":"Implementation of Ant Colony Optimization Algorithm for Load Balancing Routing in MANET Network","authors":"Saurabh Kumar Srivastava, Anil Agarwal","doi":"10.1109/ICATIECE56365.2022.10046688","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046688","url":null,"abstract":"Although a lot of study has been done on the topic, ad hoc networks continue to provide a significant obstacle for academics. Routing algorithms for ad hoc networks have been improved with the use of Swarm Intelligence based techniques like ant colony optimization (ACO) algorithms. An effective routing technique, ACO-based routing is inspired by the activities of foraging ants. Collectively, ants deposit a chemical substance called pheromone on the nodes they have visited on their way to and from the nest and the food supply. Two enhancements to the AODV protocol are proposed here. The primary objectives of the protocol's design were to improve performance by decreasing routing overhead, buffer overflow, and end-to-end delay. Proposed is a multi-path routing scheme that utilises AODV and Ant Colony Optimization (ACO). The name given to this kind of routing is “Multi-Route AODV Ant Routing” (MRAA). With this strategy, energy consumption is spread out across a larger number of nodes in the network, and data packets are dispersed uniformly across all paths detected.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134470331","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

Modeling of An Feedback System for Interpretation of Emotion Using AI 基于AI的情绪解释反馈系统建模

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047462

Pradeep Kumar Shah, M. R

{"title":"Modeling of An Feedback System for Interpretation of Emotion Using AI","authors":"Pradeep Kumar Shah, M. R","doi":"10.1109/ICATIECE56365.2022.10047462","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047462","url":null,"abstract":"Studies in mental neuroscience and brain research are gradually demonstrating how feelings play a crucial role in thought processes. This information is gradually being used to the reproduction and mental cycle demonstrations in the Counterfeit Canny and Fake Life areas. However, there aren't many comparisons between projects and very little research is done on possible components of sensation that might be used in computational systems initiatives. It is crucial for system improvement to comprehend the emotions underlying these supplied opinions at a finer granularity. Such crucial information cannot be fully ascertained through AI-based big data feeling analysis; as a result, text-based emotion identification incorporating AI in gaming big data has emerged as an urgent topic of normal language processing study. [1] The subjective audit takes into account various inclination models, datasets, calculations, and application fields of text-based feeling discovery, despite the fact that the examination work in this sector is ongoing. Additionally, SA aids in comprehending genuine comments made on a variety of platforms, like Amazon, Excursion Counsel, and others. This thorough review's primary goals were to summarise key findings from earlier studies and to provide an overview of SA models in the context of AI-driven SA. Additionally, this study provides an overview of SAs that are lexicon- and ontology-based as well as AI models that are used to analyze the ambience of a given environment.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"107 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134480315","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

Pre-processing techniques for Tamil online handwritten character recognition 泰米尔语在线手写字符识别的预处理技术

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047443

Karthick B, Harjeetpal Singh, M. Malarvel

{"title":"Pre-processing techniques for Tamil online handwritten character recognition","authors":"Karthick B, Harjeetpal Singh, M. Malarvel","doi":"10.1109/ICATIECE56365.2022.10047443","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047443","url":null,"abstract":"In the modern era, due to the rise of the information technology field, human-computer interfacing devices such as a tablet, pc, and smartphones are becoming more popular [1]. This technological advancement led to the advancement of online handwriting character identification system-based applications. Handwritten characters are recorded in digital form by writing on an electronic surface with a digital pen/stylus. Online handwriting recognition systems face several challenges, out of which some could be tackled in the pre-processing part and few can be resolved in the post-processing part. In this paper, the pre-processing steps for the Tamil handwritten character recognition have been addressed. Due to the high cursiveness property and similar shape of some characters in the Tamil script, it is necessary to work on these challenges at the pre-processing level. Therefore, the pre-processing techniques discussed in this study are; duplicate point removal, size-normalization, missing point interpolation, and points resampling. A total of 10 Tamil consonants samples from the hpl-Tamil-iso-char dataset have been utilized which was collected by HP Labs.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133134465","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

Smart Healthcare Monitoring System for Early Diagnosis of Patient's Disease using Artificial Intelligence 基于人工智能的患者疾病早期诊断智能医疗监测系统

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047205

Dharamveer Singh Sagar, S. Ninoria

引用次数: 0

An Architecture of a True Single Phase Clock D Flip-flop utilizing 45nm Technology 一种采用45纳米技术的真单相时钟D触发器架构

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10046670

N. Kumar, Alka Verma

{"title":"An Architecture of a True Single Phase Clock D Flip-flop utilizing 45nm Technology","authors":"N. Kumar, Alka Verma","doi":"10.1109/ICATIECE56365.2022.10046670","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046670","url":null,"abstract":"In this paper, we present the details of a high-speed, double-edge-triggered D-flip-flop with low power consumption and True Single Phase Clocking. With the TSPC CMOS flip-flop, the clock skew is completely removed, and only one clock signal is required. Because the original TSPC flip-flop is so sensitive to the clock slope, and because so much energy is wasted pre-charging the internal nodes, TSPC dynamic circuits are notoriously inefficient. High leakage current is increasingly contributing to power dissipation in traditional CMOS designs. As a solution to the leakage problem plaguing conventional CMOS TSPC D flip-flops, this study employs Multi-threshold CMOS technology. With the help of MICROWIND 4.1 's simulation features, we can examine how the designed flip-flops fare in terms of power consumption, propagation delay, and power delay product. The static power consumption of the proposed MTCMOS designs, such as the original MTCMOS implementation and the NMOS insertion in MTCMOS design of TSPC D flip-flop, is reduced by 57.517% and 58.871%, respectively, when compared to the static power consumption of the conventional DE- TSPC D flip-flop operating at 1.2V.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115443403","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

Hybrid Spider Monkey Optimization Technique for Twitter Sentiment Inspection 微博情感检测的混合蜘蛛猴优化技术

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047437

Manish Soni, Ankur Malhotra

引用次数: 0

Financial Abnormal Data Monitoring and Analysis Algorithm Based on Data Mining and Neural Network 基于数据挖掘和神经网络的金融异常数据监测与分析算法

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047500

He Jun'e

{"title":"Financial Abnormal Data Monitoring and Analysis Algorithm Based on Data Mining and Neural Network","authors":"He Jun'e","doi":"10.1109/ICATIECE56365.2022.10047500","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047500","url":null,"abstract":"The monitoring and analysis algorithm of financial abnormal data based on data mining and neural network is a machine learning algorithm to monitor the abnormal data of financial market. It also uses historical stock price data to analyze the performance of various trading strategies to determine whether any strategy is better or lower than its benchmark. These algorithms are intended to be used as early warning systems for potential security problems in financial markets, such as fraud, insider trading, manipulation or other illegal activities. This technology uses AI to identify unusual trading patterns in the market, so that traders can make better decisions. What are the types of financial abnormal data monitoring and analysis algorithms based on data mining? There are two kinds of financial anomaly data monitoring and analysis algorithms based on Data Mining: time series anomaly detection and event based anomaly detection. Financial anomaly detection (fade) is a term that describes an automated process designed to detect abnormal patterns in financial market activities.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122150632","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

AI based Weather Monitoring System 基于人工智能的天气监测系统

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047380

Kalpana Murugan, Ravi Kiran Tiruveedhi, Dinesh Reddy Ramireddygari, Deepika Thota, Chandralekha Neeli

{"title":"AI based Weather Monitoring System","authors":"Kalpana Murugan, Ravi Kiran Tiruveedhi, Dinesh Reddy Ramireddygari, Deepika Thota, Chandralekha Neeli","doi":"10.1109/ICATIECE56365.2022.10047380","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047380","url":null,"abstract":"Weather monitoring is generally a statistical measure or analytical measure rather than a binary decision. Weather monitoring is necessary for the development and growth of industries like agricultural, industrial and logistics. For weather monitoring, an intelligent prediction is to be done, could be done through Artificial intelligence. Artificial Intelligence is on the boon in many fields. The AI techniques are inevitable, making sense of the rapidly developing data deluge and response to the challenging recent demands in Weather Forecasting and Weather Monitoring. Machine Learning and Deep Learning are the branches of Artificial intelligence, a spellbinding technique for analyzing and predicting the provided data set. In this paper, a unique, simplified and most economical weather monitoring system is proposed through image classification techniques. In the proposed system, Internet of Things (IoT) and AI are automations used for developing model. The proposed system is to detect the weather condition using teachable machine platform to integrate the system of ESP32 camera module. That the module to detect the camera images and delivered to the virtual display of blynk application to display the output.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073063","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 and Result Analysis of Forest Fire Image Retrieval by Weighted Brownian Motion-Based Monarch Butterfly Optimization 基于加权布朗运动的帝王蝶优化在森林火灾图像检索中的应用及结果分析

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047200

G. Vinuja, N. Devi

引用次数: 0