2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献

{"title":"Brain Tumor Diagnosis Using CNN","authors":"Shoibam Amritraj, Jhalak Mahendra, C. P. Diana Cyril","doi":"10.1109/ICAECT57570.2023.10117616","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117616","url":null,"abstract":"Brain tumors are deadly neurological conditions caused by uncontrolled cell growth in the brain or skull. This disease's mortality rate continues to rise. Early detection of malignant tumors is essential for treating patients and improving survival rates. The evaluation and treatment of brain tumors rely heavily on the accurate categorization of the tumors. To spot malignant growths in the brain, neuroradiologists employ a variety of imaging methods. However, Magnetic Resonance Imaging is widely employed because it has a high picture quality as well as its absence of reliance on ionizing radiation. When it comes to classification and segmentation difficulties, among the machine learning subfields is deep learning (DL), which has lately demonstrated impressive results. Utilizing techniques of DL in the context of a big dataset medical field has shown to be quite advantageous, opening up completely new pathways and opportunities for the development of novel methods for the detection of illnesses. During this investigation, we are going to discuss a deep learning model that was created with the help of a CNN architecture to identify and categorize various forms of brain tumors from data found in the open-source dataset. The identification of brain tumors is accomplished with the help of a simple convolutional model, and the categorization of the primary kinds of brain tumors is carried out with the assistance of a transfer learning model known as ResNet50.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133200607","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 of Bidirectional Resonant Push-Pull DC-DC Converter for Electric Vehicle","authors":"M. Murali, Thirumalini P, Arulmozhiyal R, D. Kesavan","doi":"10.1109/ICAECT57570.2023.10117763","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117763","url":null,"abstract":"as extensive research is being done in the field of electric vehicles, there has been an increase in interest in energy storage technologies, bidirectional dc-dc converters, and uninterruptible power sources. For usage in electric cars, this suggested design incorporates a modified bi-directional resonant DC-DC converter. Soft computing techniques provide advantages that have been utilized to streamline analysis. The key benefit of this system is its ability to operate at a variety of frequencies while minimizing transistor switching loss. The converter design is thoroughly analyzed in this work, and MATLAB/Simulink has been used to simulate and verify the study.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602576","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":"Portable blood glucose meter system for self-monitoring of diabetic patients","authors":"R. Perez-Siguas, E. Matta-Solis, Anika Remuzgo-Artezano, H. Matta-Solis, Hernan Matta-Perez, Luis Perez-Siguas","doi":"10.1109/ICAECT57570.2023.10117791","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117791","url":null,"abstract":"The appearance of COVID-19 changed the lifestyle of many people as it spread rapidly around the world, causing concern to the entire health system due to the high number of infected and leading to a general confinement, changing the lifestyle and eating habits of many people causing diabetes, which is a disease caused by the high level of glucose in the blood, which can generate serious problems in the health of the person since it has no cure, this progressive disease is controlled or monitored by conventional glucometer equipment that generates pain in patients because they require blood samples to measure glucose, worse for those diabetics who must have the measurement several times a day. In view of this problem, this article will make a portable blood glucose meter system for the self-monitoring of diabetic patients and determine the blood sugar level to visualize it by means of a screen, with this system the measurement will be made without pain and will show the value of the glucose level accurately, Helping diabetic patients who perform monitoring several times a day. Through the development of l system, it was observed that it works in the best way with an efficiency of 96.97% in the measurement of glucose, when comparing with others equipment glucometers obtained a relative error of 2.99%, being an error accepted to approach the real value.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"428-429 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122099698","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 OTP Framework for effective tumor segmentation and analysis in brain MRI images","authors":"K. Bhima, M. Neelakantappa, K. D. Ramaiah, A. Jagan","doi":"10.1109/ICAECT57570.2023.10118149","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118149","url":null,"abstract":"Analysis and segmentation of tumor structure in brain MRI images is considered as trial and complicated task due to the unpredictability characteristics of tumor region and the difficulty in computing the accurate tumor size, tumor texture and tumor location. In this work, an Optimal Three-Phase (OTP) MRI segmentation framework is proposed for an effective interpretation and classifying the varied MRI dataset for further investigation and improved results. The OTP framework brings diverse popular segmentation frameworks to undertake MRI investigation process. An Optimal Three-Phase (OTP) MRI segmentation framework is intended to assortment the services of most popular FCM clustering framework, Watershed Segmentation framework and EMG (Expectation Maximization and Gaussian) mixture framework for an automatic and precise analysis and diagnosis of tumor in MRI. The proposed Optimal Three-Phase (OTP) Framework has a comprehensive tumor analysis structure which comprise of three phases for identification, segmentation and extraction of disorder region in MRI. The OTP framework has automatic identification of disorder in MRI images consecutively tumor region segmentation. The first level deals by the manifestation and identification of brain tumor in input MRI datasets. The second level deals with segmentation of tumor and analysis of tumor region in MRI images. The third level is constructed on tumor region extrapolation which is capable to extract the tumor core, active tumor and whole tumor region. The standard input MRI dataset comprises of 1000 patients brain MRI images which is composed of T1C MRI images form BraTS. The assessment results of proposed framework for analysis tumor achieved an accuracy of 98.23% ± 1.1% compared with existing techniques. These favorable outcomes demonstration that the offered framework is most efficient and robust with respect to conventional classification techniques in terms of efficient results on standard BraTS dataset.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809591","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":"Chromatic Partitioning of a Network and an Optimum Scheduling Problem","authors":"Meera Sony, R. Manjusha","doi":"10.1109/ICAECT57570.2023.10117620","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117620","url":null,"abstract":"This article aims to study the chromatic polynomial of some families of graphs and to describe the properties of the chromatic polynomial of some graph operations. In addition, we will explore results related to a chromatic polynomial of the subgraph of path graph obtained after fusing two vertices that are at a finite distance. Also, we give an idea of optimum scheduling based on different color classes in the graph.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125645357","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 Numerical Approach for Estimating Radiated Emission of Shielded PCBs","authors":"P. Binda, A. Singh, Kuldeep Singh, R. Mitharwal","doi":"10.1109/ICAECT57570.2023.10117709","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117709","url":null,"abstract":"This paper presents equivalent surface dipoles based on near-field to far-field transformations for estimating the radiated emissions for PCBs placed inside shielded enclosures. The objective is to estimate fields without the geometrical details of either the PCB or its shielded enclosures. The numerical results quantified in terms of mean square error demonstrate the efficacy of the proposed method. The proposed approach generated far-field is further validated against the commercial electromagnetic solvers.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"37 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124148449","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":"Human Facial Emotion Recognition using Deep Learning Techniques","authors":"M. Rane, Sujay Shahare, Sarja Daware, Yashodhan Shedge, Saumya Deshmukh, Ganesh Sarak","doi":"10.1109/ICAECT57570.2023.10118341","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118341","url":null,"abstract":"Human beings are social animals; which means that social interactions form a key part of our life. In social interactions, emotions play an important part as well. Our facial expressions play an important part in expressing meaning along with spoken words. It is quite easy for us to recognize facial expressions; but for a computer algorithm, it is a challenging task. Automatic facial recognition using deep learning is one of the technologies with which one can easily recognize human emotions from the interlocutor. As a matter of fact, deep learning architectures such as CNN display extraordinary results for the detection of facial emotions. Presented work discuss development of CNN model for the recognition of facial expressions. Based on existing work, we utilize a dataset named “Face expression recognition” for training and testing the proposed CNN model. Using relevant technologies, we developed a system that is able to detect multiple facial expressions at a given time.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257027","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":"Signal Enhancement of Source Separation Techniques","authors":"N. Muhsina, Dhoulath Beegum J, Manjusree S, Lubaib P, Al Saheer S S, Athira J Shenoy","doi":"10.1109/ICAECT57570.2023.10117731","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117731","url":null,"abstract":"Blind Source Separation (BSS) refers to a problem where both the sources and the mixing techniques are unknown, only mixture signals are available for advanced separation process. In several circumstances it is beneficial to recuperate all individual sources from the mixed signal, or partially to segregate a particular source. In laboratory conditions, most of the algorithms work acceptably where input signals, number of source present in the mixture, mixing methodology etc. are well known to the separation process. But in real-life scenarios the problem is much more tangled and it begins with the input signal, a mixture where most of the parameters are unknown. Several approaches have been proposed for the solution of this problem but development is currently still very much in progress. Some of the more fortunate approaches works well when there are no delays or echoes present. The paper summarizes these approaches taken previously to solve this problem and an experiment of source separation which will mix and then de-mix those source signals using various methods like Conv-TasNet, Demucs, IVA, etc. The novel method implemented in this paper involves using LMS filters to enhance the weaker signal strength, thereby improving the quality of the estimated signal in separation through upgradation in signal to noise ratio.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130002888","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":"Radio Frequency Controlled Hexapod Robot with Bioinspired Kinematic Configuration used for Rescue Activities after Landslides in Urban Areas","authors":"José Carlos Borja, R. Palomares, Jose Cornejo, R. Castro","doi":"10.1109/ICAECT57570.2023.10117856","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117856","url":null,"abstract":"During the year 2021, 834 earthquakes occurred with a magnitude that has varied between 3.2 to 6.1 degrees and each year the frequency of earthquakes that occurs per year increases, which is why the innovative research has been proposed under the supervision of the school of Engineering Mechatronics of the Ricardo Palma University of a hexapod robot that can locate people still alive who are buried after an earthquake. The mechanical design of the robot indicates the selection of the material for the chassis that supports a seismic force of S=20.80 N/m2, the finite element analysis of each piece, the electrical design shows the power distribution scheme of the robot consisting of 3 L293d motor modules, 3 types of HPCV 12 V micro servos, robot power consumption calculation resulting in 10.73 Watt and 850 mAmp per hour, temperature variation detection system using HC-SR501 5 V PIR with the KY-008 5 V laser module, in the electronic design the Arduino UNO controller is selected based on the robot's operating voltage of 5 V, 12 V power supply and a minimum of 12 digital inputs/outputs and the computer design indicates a diagram of flow of the operation of the robot, which was subjected to 3 tests. A test of the temperature variation detection system was carried out, having as results measured in the range of 36.5 and 37 °C, a functionality test was carried out in a closed environment and in a state of collapse, it entered and allowed to identify a person trapped and start a safe rescue, in conclusion, it was possible to obtain favorable results. For future research, it is proposed to use an autonomous navigation system, and to develop an aerial version of the robot.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129538263","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: High-Speed Block-Based Carry Speculative Adder for Error-Tolerant Applications","authors":"Ch. Raja Naga Praneeth, C. Kumari, P. Yadlapalli","doi":"10.1109/ICAECT57570.2023.10118001","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118001","url":null,"abstract":"While compared to exact adders, approximate adders have a shorter propagation time and take up less space. For the approximate computing, we use two alternative strategies. The adder is split into certain non-overlapped summation blocks throughout the first structure, and also the substitute adders employed which is called as Knowles parallel prefix adders. The propagation delay will be reduced by implementing the Knowles adder construction. Full adder sum is built with one or gate and single x-or gate in the next structure. The amount of space available will be decreased as a result of this design. In terms of time and area, the novel method is compared with the previous method.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703715","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}