2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第4页

SFLADock: A Memetic Protein-Protein Docking Algorithm SFLADock:模因蛋白-蛋白对接算法

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793129

Sharon Sunny, Gautham Sreekumar, J. B

{"title":"SFLADock: A Memetic Protein-Protein Docking Algorithm","authors":"Sharon Sunny, Gautham Sreekumar, J. B","doi":"10.1109/icdcece53908.2022.9793129","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9793129","url":null,"abstract":"Protein-protein interactions are biologically significant as they govern many biological systems, including the immune and digestive systems. An abnormal increase in proteins may causes diseases like Alzheimer's disease, for which no cure is found yet. An advanced scientific study on their interactions and functions may shed light on the ways for treating protein-related diseases. Protein-protein docking is a method to study the structure of protein assemblies and hence their functions and characteristics. The proposed method uses the shuffled frog-leaping algorithm to predict the structure of protein complexes. Unlike other evolutionary algorithms that allow the use of information from previous generations only, this algorithm supports the use of all the information available at the moment. The division of the population into memeplexes and submemeplexes allows the searching for optimal solutions in different directions, thereby avoiding premature convergence. The proposed method is tested on the Docking Benchmark v 5. Results show that the method is capable of generating plausible structures of medium and acceptable quality even in the top 10 ranks. It should be noted that the results are independent of the initial position of individual proteins. The use of DFIRE scoring function to rank the poses helps in better throughput. The inclusion of a better selection strategy for conformations may positively change the results of the proposed method.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131744466","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

Bio Inspired Approaches for Indoor Path Navigation and Spatial Map Formation by Analysing Depth Data 基于深度数据分析的室内路径导航和空间地图生成的生物启发方法

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793071

Rapti Chaudhuri, Sumanta Deb, Shubham Shubham

{"title":"Bio Inspired Approaches for Indoor Path Navigation and Spatial Map Formation by Analysing Depth Data","authors":"Rapti Chaudhuri, Sumanta Deb, Shubham Shubham","doi":"10.1109/icdcece53908.2022.9793071","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9793071","url":null,"abstract":"Indoor Navigation presents a significant domain for carrying out with research issues. Literature review depicts inspite of having various existing graph theoretic optimization approaches for safe path exploration, the mobile robot faces difficulties in achieving robust and efficient computation. The cause of difficulties include limitation in sensor availability, limitation in reachability, having dynamic on path obstacles, and space-time complexity. The paper presents a working model for mobile robot navigation by detecting objects analysing depth data in the concerned environment followed by optimized path exploration using bio inspired path planning techniques. This is accompanied by spatial map formation incorporating with Robot Operating System (ROS) environment for getting an idea of visual inference of the taken indoor environment. Analysis of working principle and respective methodology of the algorithms have been done and experimental results are noted. Comparative ease in computation and optimization are obtained and presented neatly in subsequent sections. The analysis would prove to be remarkable citation for future research in the field of Optimized Collision-free Indoor Navigation (OCIN).","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115142318","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: 4

Edge Detection Based Motion Tracking 基于边缘检测的运动跟踪

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792984

K. vinay, T. B. Teja, G. S. Kumar

引用次数: 0

Auto Contouring of OAR in Pelvic CT Images Using an Encoder-Decoder Based Deep Residual Network 基于深度残差网络的骨盆CT图像桨叶的自动轮廓

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792926

Seenia Francis, Harsh Bagaria, J. B, Pournami P N, Niyas Puzhakkal

{"title":"Auto Contouring of OAR in Pelvic CT Images Using an Encoder-Decoder Based Deep Residual Network","authors":"Seenia Francis, Harsh Bagaria, J. B, Pournami P N, Niyas Puzhakkal","doi":"10.1109/icdcece53908.2022.9792926","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792926","url":null,"abstract":"Automatic contouring of organs at risk is vital in radiotherapy treatment planning for curing any cancer disease. To calculate accurate distribution dose of radiation to the cancer cells requires the identification of nearby organs to safeguard them from irradiation. And it is very challenging in the pelvis area of the human body due to unclear boundaries, bowel gas, and the varying size of organs in different people. Deep learning-based automatic contouring can mitigate manual contouring difficulties. In this paper, a modified U-Net with a particular residual network(ResNext), having a horizontal dimension in addition to depth and width, is used for contouring of organs, namely, bladder and left & right femoral heads on pelvic Computed Tomography(CT) images. The results reveal that the dice coefficient value obtained from the experiments is above 0.88 for all three organs. The model outperformed the typical U-Net and is comparable to other state-of-the-art models in this area. The proposed model can be used for automatic contouring of pelvic organs and reduce treatment planning time significantly.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114124869","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

An Energy Conservation Clustering Scheme with Compressive Sensing Scheme for WSN 基于压缩感知的WSN节能聚类方案

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793118

B. Komuraiah, M. Anuradha

{"title":"An Energy Conservation Clustering Scheme with Compressive Sensing Scheme for WSN","authors":"B. Komuraiah, M. Anuradha","doi":"10.1109/icdcece53908.2022.9793118","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9793118","url":null,"abstract":"A Wireless Sensor Network (WSN) network comprises a vast range of small sensor nodes to establish communication. Due to its minimal deployment cost, WSN has been widely utilized in different applications such as air pollution monitoring, medical applications, detection of enemies, target tracking, and so on. Generally, sensor nodes are battery-operated with limited energy supply to the nodes. In WSNs, clustering is a widely adopted concept for topology management in the network. It involves the grouping of several nodes for management and execution of tasks in a distributed manner for effective management of resources. With effective clustering techniques, energy consumption needs to be improved with a reduction in data transmission delays between source and destination node in the network. Through the use of a compressive sensing technique in a WSN, the transmission count and number of data processed can be reduced while radio resources are used with limited energy. This paper proposed energy-aware clustering with a compressive sensing technique for minimal delay compared with conventional techniques. The proposed method has a minimum delay of 9.22 seconds at 20 nodes, 29.34 seconds at 40 nodes, 63.85 seconds at 60 nodes, 113.47 seconds at 80 nodes, and 146.72 seconds at 100 nodes.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114853","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

Performance Analysis of Machine Learning Algorithms for Erythemato-Squamous Diseases Classification 红斑鳞状疾病分类的机器学习算法性能分析

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793000

S. Singh, Amit Sinha, S. Yadav

引用次数: 1

Traffic Sign Recognition Using CNN 使用CNN的交通标志识别

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793257

Ch. M. L. Prasanna, V. Kumar, G. Kumar

引用次数: 0

Design of Archimedean Spiral Antenna for Wireless Underground Sensor Network 地下无线传感器网络中阿基米德螺旋天线的设计

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792923

Ashish K Adiga, Nethravathi K A, Bhishm Tripathi

{"title":"Design of Archimedean Spiral Antenna for Wireless Underground Sensor Network","authors":"Ashish K Adiga, Nethravathi K A, Bhishm Tripathi","doi":"10.1109/icdcece53908.2022.9792923","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792923","url":null,"abstract":"In this paper, the antenna suitable for a wire-less underground sensor network is designed in Ansys High Frequency Structure Simulator (HFSS). The dielectric properties viz. dielectric constant and loss tangent of four different types of soil with different clay contents and different volumetric water contents are found from the Mineralogy Based Soil Dielectric Model (MBSDM). These dielectric properties are then used to simulate the different types of soil by creating a mud box to emulate the underground soil scenario. One antenna is kept 6cm above the ground and another antenna is kept 28cm below the ground inside the mud box. The simulation is performed for four different soil types to determine the attenuation between the two antennas caused by the different types of soil using HFSS. The gain of the antennas above and below the ground is observed and tabulated for different types of soil. An Archimedean Spiral Antenna is designed and simulated to determine the attenuation between the antenna 6cm above the ground and the antenna 28cm below the ground. The attenuation is found to be within 15dB - 30dB for all four types of soil. This range of attenuation is acceptable for a precision agriculture wireless underground sensor network application. The return loss and gain of the antenna are found to vary when used in different soil types based on the clay content and volumetric water content of the soil.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636169","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

Recognizing Esports as a Sport from an Academic Perspective 从学术角度认识电子竞技是一项体育运动

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792788

V. Thiruchelvam, Wong Bee Suan

引用次数: 0

Employment Recommendation System Using Predictive Analysis and Secured Through Blockchain Technology 基于预测分析和区块链技术的就业推荐系统

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792898

August C. Thio-ac, Rachelle Anne C. Dela Cruz, Rich Ryan M. Papalid, Earl Jean S. Soriano, Diane Maria Lou L. Tabarina, Audry Marie Tingson, Timothy M. Amado, G. A. Madrigal, Romeo L. Jorda, Cherry G. Pascion, R. Reyes, L. K. Tolentino

{"title":"Employment Recommendation System Using Predictive Analysis and Secured Through Blockchain Technology","authors":"August C. Thio-ac, Rachelle Anne C. Dela Cruz, Rich Ryan M. Papalid, Earl Jean S. Soriano, Diane Maria Lou L. Tabarina, Audry Marie Tingson, Timothy M. Amado, G. A. Madrigal, Romeo L. Jorda, Cherry G. Pascion, R. Reyes, L. K. Tolentino","doi":"10.1109/icdcece53908.2022.9792898","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792898","url":null,"abstract":"Electronics engineering offers a wide variety of fields, specializations, and works in the industry that the graduates can pursue. They sometimes lead to job mismatches as their abilities and perspective are not align to the qualifications and skills that a certain job requires. In this project, an employment decision support system was developed to help the graduates foresee the most suited work positions when entering the industry as an electronics engineer through the evaluation of their licensure or board exam results; self-assessment results which includes their abilities, hobbies, and attitude towards work that are based on job descriptions; and academic grades results from first year to fifth year where the four main subjects of the Philippine electronics engineer licensure examination that is Mathematics, General Engineering and Applied Sciences, Electronics Engineering, and Electronics Systems and Technologies will serve as its classifications. The result is encrypted in Blockchain technology that will be used as a security feature to ensure the credibility and reliability of the whole evaluation.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"80 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120894823","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