2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)最新文献

{"title":"Optimization of Temperature Difference Power Generation Energy System Based on Hybrid Multiple Swarm Evolutionary Algorithm","authors":"Hesong Han, Kecheng Liu, Yingnan Wang, Lijun Zhang","doi":"10.1109/ICICACS57338.2023.10099752","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099752","url":null,"abstract":"At present, there is still a gap between the development level of temperature difference power generation technology in China and developed countries, and the development is relatively slow. Especially in terms of implementation, China lacks relevant technology and market support. As an environmentally friendly and energy-saving technology, solar power generation plays a very important role in energy technology and also has potential applications in military, aerospace and other scientific research fields. The purpose of this paper is to study the optimization of temperature difference power generation energy system based on hybrid multiple swarm evolutionary algorithm. A temperature differential power generation energy system using solar heat absorbers is designed. A hybrid multi-group evolutionary genetic algorithm with simulated annealing has been introduced to optimize the location layout of the thermoelectric modules of the temperature differential power generation energy system, and the results show that the optimized temperature uniformity degree is higher and the system efficiency is better.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131309406","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}

{"title":"Design and Analysis of Heart Attack Prediction System Using ML","authors":"Matthew Antony Manoj, Kommi Madhuri, Keelukuppa Anusha, K. Sree","doi":"10.1109/ICICACS57338.2023.10099819","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099819","url":null,"abstract":"Any diseases that is kept untreated for a long period of time directly impacts the human health and effect all the major organs of the body. Treating the chronic diseases in timely basis is highly recommended to avoid major medical problems coming over the way. On implementing Chronic Heart Attack prediction system using Hybrid SMLT (Split Multi Link trunking) technique is presented here. The proposed system considers machine learning algorithm in which Logistic regression (LR), multi-level perceptron (MLP) based on neural network, CatBoost regression (CB) algorithm and Random Forest regression algorithm (RF) is comparatively tested. Considering the data set provided, the presented approach is implemented using Python IDE and simulated in IoT (Internet of things) screen of Google Collab. A comparative analysis of various Machine learning algorithm is helpful to make the accurate processing with the help of robust method in short span of time. Further different machine learning techniques, with multiple features are considered as scope of implementation. The proposed approach is creating a machine learning model that can predict whether or not a person will experience a heart attack. The best model is used to forecast the result after many techniques have been compared.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127056086","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}

{"title":"An Improved Analysis of Magnetic Force Role in the Modern Electronics Circuits using Improved Fuzzy Logic Control","authors":"Rakesh Kumar, Jitendra Singh","doi":"10.1109/ICICACS57338.2023.10100187","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100187","url":null,"abstract":"Magnetic force plays a very important role in the field of electronics. Generators, motors, electrical appliances and transformers operate on the basis of magnetic energy. Also important devices like television sets, radios, airplanes, etc. have devices that work based on magnetic energy. Magnetism and their applications and how much it is used in electrical equipment. Magnetic source materials are classified according to their permeability. Any magnetic material whose susceptibility to magnetic lines is less than one is called diamagnetic material. These are magnetically repelled. Any magnetic material whose susceptibility to magnetic lines is greater than one is called paramagnetic material. Paramagnetic materials are only slightly attracted by a magnet. Any magnetic material whose ability to accept magnetic lines within itself is more than thousands is called ferromagnetic material. Such raw materials are highly attracted by the magnet.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467748","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}

{"title":"Digital Intelligent Accounting Information Processing System Based on Big Data","authors":"Huanyi Wang","doi":"10.1109/ICICACS57338.2023.10099931","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099931","url":null,"abstract":"accounting information processing system for accounting personnel, the finance department leadership and the company's chief economist, such as the provision of automatic and intelligent editing, auditing, processing and publishing tools, enterprise financial management personnel from multifarious news work flow, and can improve the real time and timeliness of financial management, promote the efficiency of the financial management work. The purpose of this paper is to study the digital intelligent accounting information processing system based on big data. The definition and characteristics of big data and data warehouse are analyzed. The system uses.NET technology for software development, the accounting business process of the voucher entry, general ledger, statements and other system requirements analysis and function planning, the realization of customer archives management and processing of accounting vouchers and other functional modules. Test the system virtual machine, the case data show that the digital intelligent accounting information processing system has efficient performance.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904248","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}

{"title":"Improve Firefly Heuristic Optimization Scheme for Web based Information Retrieval","authors":"Sakshi Pandey, Saurabh Lahoti","doi":"10.1109/ICICACS57338.2023.10100016","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100016","url":null,"abstract":"The main goal of web Information Retrieval (IR) is to find highly relevant data for Internet users. Nowadays, huge billions of websites are populated day by day. The information growth is tremendous which is unbelievable. The current Information Retrieval (IR) system brings out very inadequate results because it is a keyword-based technique. The current IR system tools designed are very less capable to match exact document to the net users from the large web repository. Information ambiguity leads to poor information interconnection. It is impossible to handle many users and content to ensure trust at all levels. Hence to overcome these issues, in this novel proposes an Improve Firefly Heuristic Optimization Scheme (IFHOS) algorithm is used to identify the relevant document. The proposed first stage is pre-processing to remove stop words and tokenization etc. Then identify the web user interest using Density based Search Importance Rate (DSIR) technique. Later the proposed IFHOS technique identifies the appropriate information document from a user search. Thus, the proposed method achieves efficient performance than other comparative methods.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198565","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}

{"title":"Early Diagnosis of Types of Glaucoma Using Multi Feature Analysis Based on DBN Classification","authors":"Likhitha Sunkara, Bhargavi Lahari Vema, Hema Lakshmi Prasanna Rajulapati, Avinash Mukkapati, Vbkl Aruna","doi":"10.1109/ICICACS57338.2023.10100195","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100195","url":null,"abstract":"Glaucoma is one of the leading causes of blindness because it damages the eye's optic nerve and impairs vision. Early glaucoma diagnosis and treatment are critical to reduce the risk of permanent visual loss. The ultimate goal of this study is to spot early glaucoma symptoms by taking a variety of ocular characteristics into consideration. Glaucoma is difficult to diagnose sinceit does not become apparent until it destroys the eye and causes partial or whole vision loss. A remedy is required to discover this issue at an early stage by examining the retinal properties or features obtained using high-resolution imaging method. Since many of these illnesses share characteristics, it can be difficult for clinicians to identify the proper ailment for treatment, which makes the classification of these illnesses complicated. Previously many methods and techniques were implemented to detect the glaucoma, but the main objective is to classify which type of glaucoma a person is suffering from. Consequently, in this study, unsupervised deep belief network (DBN) is used to extract features at the depth level. So, by using DBN which considers multiple features for analysis in hidden layers whereas other algorithms consider one particular feature as input it gives better accuracy than other algorithms. Improved methods for diagnosing glaucoma sooner and with more accuracy willmake it easier to adopt efficient treatment choices quickly.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123686205","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}

{"title":"A Wavelet Transform Algorithm based Detection and Classification of Sleep Apnea for Monitoring of Health","authors":"Beena G Pillai, Madhurya J A, V. J. Babu, A. S. Kumar Reddy, A. Siddiqua","doi":"10.1109/ICICACS57338.2023.10099785","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099785","url":null,"abstract":"One-third of a person's life is spent sleeping, and this physiological phenomenon serves several purposes, such as restoring and maintaining normal brain metabolism, allowing the cardiovascular system to recharge, and restoring metabolic balance to the body's glucose supply. Sleep has intimate ties to physical restoration, hormone regulation, and immune system maintenance. During sleep, the body's metabolic rates shift from catabolism (the breakdown of tissues) to anabolism (the rebuilding of tissues). This state of mind is not a constant slumber but rather a dynamic internal structure with a periodic temporal progression. It was often believed that sleep was a non-active state, but modern research has shown that our brains are actually quite busy while we sleep. A multivariate Wavelet transform-based feature selection method has been used since different authors have advocated differing usefulness of different features from the time domain, the frequency domain, and nonlinear features in earlier work on sleep (SL) staging. This provided an optimal collection of 21 features that led to significantly better sleep stage classification performance than previous approaches. Once the signals in the time domain have been transformed into the time-frequency domain, the wavelet coherence coefficients can be calculated to determine the instantaneous respiration rate, and the instantaneous power of the individual signals, the common power, and the phase difference can be examined at the corresponding frequency component. The suggested method improves upon earlier approaches in terms of both event detection and categorization, as evidenced by the experiments.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122105717","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}

{"title":"Design and Implementation of System for Rider's Safety Against Extreme Climatic Conditions and Uneven Road","authors":"P. Sivakumar, K. S. Kumar, Akula Sai Tejaswani, Gunda Mounika, Mekala Rajesh Kumar","doi":"10.1109/ICICACS57338.2023.10100087","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100087","url":null,"abstract":"Now-a-days climatic change is becoming more intense over the past years and poorly maintained roads are affecting bike riders. Climatic changes include heavy rain and overheat which affects bike rider and leads to accident. To overcome this, we came with an approach to protect rider by monitoring and sensing environmental parameters by using sensors such as LM35 sensor for measuring temperature to avoid overheat and raindrop sensor for sensing rain and protect rider with canopy which provides shelter to rider. The proposed system also identifies the potholes and humps on roads to avoid accidents by alerting rider with voice message and when potholes and humps are found, the location is recorded by using GPS receiver and through GSM module the coordinates are stored in Thingspeak, which aids government officials in maintaining and repairing the potholes and humps. The proposed system is integrated with ARM-7 LPC2148 microcontroller which is a low cost and high speed operatable.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117233247","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}

{"title":"Design and Analysis of 3.5 GHz Rectangular Patch Microstrip Antenna for S-Band Applications","authors":"S. Hossain, T. Islam, Shahriar Alam, Faragi Sabbir Munna, Tanmoy Mondal, Sakib Khan Jim, Md. Mostafizur Rahman","doi":"10.1109/ICICACS57338.2023.10100219","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100219","url":null,"abstract":"This research shows a novel patch antenna that is rectangular shaped. It is designed for 3.5 GHz frequency which is used for the applications of S-band. The antenna is structured using an FR4 substrate, which dielectric constant is 4.4 and a microstrip line is used as a feeding technique for the designed antenna. The performance of the antenna at 3.5 GHz produced a better return loss value of -43.52 dB, a large bandwidth of 2.3 GHz between 2.6 GHz and 4.9 GHz, and a gain of 2.646 dBi. To boost bandwidth, the substrate's thickness is raised. For analysis, various important performance parameters such as gain, radiation pattern, and return loss are determined from simulated results using CST Studio Suite software. The suggested antenna is assumed to function in the S-band.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"102 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826051","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}

{"title":"An Enhanced Genetic Algorithm for Solving Trajectory Planning of Autonomous Robots","authors":"A. Kishore Kumar, Ahmed Alemran, Dimitrios Alexios Karras, Shashi Kant Gupta, Chandra Kumar Dixit, Bhadrappa Haralayya","doi":"10.1109/ICICACS57338.2023.10099994","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099994","url":null,"abstract":"Different tasks inside the environments call for different types of robots with various traits and designs. The research community appears to favour a number of robot classes in particular area for tackling complex challenges in demanding settings. Important cases of these deployments are examined, and it is determined that high-level autonomy is a crucial problem that has to be solved. It is necessary to drive autonomous mobile robots across the environment to map it, find themselves, and chart out routes between locations. Two crucial capabilities of an autonomous overtaking system are trajectory planning and trajectory tracking, and many approaches have been put forth in the literature for each of these functionalities. However, the majority of the offered approaches are only useful for low-speed overtaking due to ambiguities in environment perception when employing the current generation of sensors. This paper shows an upgraded version of Genetic Algorithm to find the shortest route between the source and destination. In this paper, an upgraded GA is proposed in static environments to solve path planning issues. Numerous studies have offered innovative methods that generate an ideal route using GA. Most of the strategies for generating infeasible pathways ignore the variable length chromosomes. The algorithm converges more quickly because it prevents premature convergence and provides viable pathways with higher fitness values than its parents. The suggested approach is implemented and contrasted in a variety of contexts to demonstrate its validity. The simulation findings demonstrate that, in comparison to previous approaches, utilizing GA with the enhanced operators and the fitness function aids in the discovery of optimal solutions. It is clear from the best optimal solution provided that the proposed UGA outperforms GA. In UGA the execution time is less (15.24s) than the GA that is (19.35s). The proposed model requires less iterations (3127) than the current method (6114), which reduces the total number of iterations. This in turn cuts down on the overall execution time.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125074454","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}