2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献

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An Automated Robotic Arm: A Machine Learning Approach 自动机械臂:一种机器学习方法
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688512
S. KrishnarajRaoN., J. AvinashN., H. RamaMoorthy, K. Karthik, Sudesh Rao, S. Santosh
{"title":"An Automated Robotic Arm: A Machine Learning Approach","authors":"S. KrishnarajRaoN., J. AvinashN., H. RamaMoorthy, K. Karthik, Sudesh Rao, S. Santosh","doi":"10.1109/ICMNWC52512.2021.9688512","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688512","url":null,"abstract":"The term ‘robot’ generally refers to a machine that looks and works in a way similar to a human. The modern industry is rapidly shifting from manual control of systems to automation, in order to increase productivity and to deliver quality products. Computer-based systems, though feasible for improving quality and productivity, are inflexible to work with, and the cost of such systems is significantly high. This led to the swift adoption of automated systems to perform industrial tasks. One such task of industrial significance is of picking and placing objects from one place to another. The implementation of automation in pick and place tasks helps to improve efficiency of system and also the performance. In this paper, we propose to demonstrate the designing and working of an automated robotic arm with the Machine Learning approach. The work uses Machine Learning approach for object identification / detection and traversal, which is adopted with Tensorflow package for better and accurate results.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125997407","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: 3
Measurement of Temperature for Diagnosing, and Treating the Osteomyelitis of Rat using an InGaSb Based Infrared Sensor with ICT Infrastructure 基于InGaSb的ICT红外传感器在大鼠骨髓炎诊断和治疗中的应用
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9687829
S. Murugeswari, Kalpana Murugan
{"title":"Measurement of Temperature for Diagnosing, and Treating the Osteomyelitis of Rat using an InGaSb Based Infrared Sensor with ICT Infrastructure","authors":"S. Murugeswari, Kalpana Murugan","doi":"10.1109/ICMNWC52512.2021.9687829","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9687829","url":null,"abstract":"Osteomyelitis is a type of bone contamination that affects people. The most common symptoms are fever, soreness, weakness, and bone redness. The bioactive peptide homocarnosine (C10H16N4O3) is abundant in the cerebrum and skeletal muscles. This paper describes a novel method for detecting temperature due to osteomyelitis using an InGaSb-based Infrared temperature sensor, which was first tested on a rat. The temperature was detected and the synergistic effect of vancomycin (C66H75Cl2N9O24) and C10H16N4O3 against osteomyelitis in the treatment of bacterial infections was studied using 5 rat models. In summary, this work found that combining C10H16N4O3 and C66H75Cl2N9O24 treatment was more effective than C66H75Cl2N9O24 monotherapy in preventing bacterial growth and bone contamination. Rectal probe temperature readings have become common in recent years, and they have proven to be accurate and useful in this regard. Because of the drawbacks of invasive methods, non-invasive continuous monitoring technology has made significant advances in every aspect. Furthermore, non-invasive techniques are non-harmful, include rapid measurements, and do not disturb the subject of measurement. The temperature difference is being 0.2°C on average between an InGaSb based Infrared temperature measurements and rectal measurements (Clinical values) and an accuracy of about 95% is achieved. This data is communicated via Wi-Fi (ESP8266) medium to the remote centre automatically.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157191","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
Harris Hawks Optimization (HHO) Algorithm based on Artificial Neural Network for Heart Disease Diagnosis 基于神经网络的Harris Hawks优化(HHO)算法在心脏病诊断中的应用
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688348
Haedar Al-Safi, J. Munilla, Javad Rahebi
{"title":"Harris Hawks Optimization (HHO) Algorithm based on Artificial Neural Network for Heart Disease Diagnosis","authors":"Haedar Al-Safi, J. Munilla, Javad Rahebi","doi":"10.1109/ICMNWC52512.2021.9688348","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688348","url":null,"abstract":"Signal processing methods usually diagnose heart disease, and the diagnosis of this type of disease by signal processing sometimes encounters many difficulties. To reduce diagnostic problems, careful feature selection and training are needed to analyze these signals. In this study, an attempt has been made to combine machine learning skills, such as neural network learning, with the Harris Hawks Optimization method to diagnose heart disease. In this paper, the heart disease diagnosis is analyzed with the feature selection method. For feature selection, the Harris Hawks Optimization Algorithm based on a fitting neural network is used. First, the Harris Hawks Optimization algorithm was implemented on the data, and the sample features were randomly selected. Then the sample features are trained by a neural network, and the best features are selected. Results show that the proposed method's accuracy, sensitivity, and precision for diagnosing heart disease are 92.75%, 92.15%, and 95.69%, respectively. The proposed method has a lower error in diagnosing heart disease from MLP, SVM, RF, and AdaBoost.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129088282","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: 3
SRR & CSRR loading on Monopole Antenna for Extreme Wide Band Sub - mm Wave and THz Applications 极宽带亚毫米波和太赫兹单极天线的SRR和csr负载
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688458
N. Suguna, S. Revathi
{"title":"SRR & CSRR loading on Monopole Antenna for Extreme Wide Band Sub - mm Wave and THz Applications","authors":"N. Suguna, S. Revathi","doi":"10.1109/ICMNWC52512.2021.9688458","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688458","url":null,"abstract":"In this paper, a compact printed monopole antenna is loaded with split ring resonators (SRR) and complementary split ring resonators (CSRR) have been proposed for sub – mm wave and terahertz (THz) applications. Performance of SRR and CSRR loading on monopole are investigated in terms of electrical and far –field characteristics. Proposed models are designed on Rogers RT / Duroid 5880 ™ material having dielectric constant 2.2 and loss tangent 0.0009. Overall geometrical size of designed antennas is 24mm x 18mm x 0.787mm and is simulated using the HFSS tool. Impedance bandwidths (IBW) of designed antennas are 1134.76GHz, 1007.04GHz, 1071.81GHz and 1587.97GHz. Fractional bandwidths (FBW) at resonant frequencies are 174.65%, 173.61%, 174.67% and 182.08% respectively. Corresponding bandwidth ratios (BR) are 14.15, 14.79 and 21.33. The maximum peak gain (G) obtained for the designed antennas is 15.08dBi and radiation efficiency (η) is 99.98%. Designed antennas provide good Omni directional characteristics, group delay (< 2ns) and exhibits circular polarization (CP) at several frequencies.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157965","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
Internet of Things Based Monitoring System for Oil Tanks 基于物联网的油罐监控系统
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688384
P. N., R. Manjunatha
{"title":"Internet of Things Based Monitoring System for Oil Tanks","authors":"P. N., R. Manjunatha","doi":"10.1109/ICMNWC52512.2021.9688384","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688384","url":null,"abstract":"Storage Tanks in tank farms are used to store various petroleum products and play an important role in the oil and petroleum industries. Monitoring these tanks for fire, gas leakage, and lightning becomes of paramount importance. The Internet-of-Things (IoT) based system is one of the effective methods for monitoring these tanks. In the present paper, a simulation model has been designed for monitoring temperature, detection of fire and smoke. Also, a lab scale prototype has been developed that can measure real time temperature and detect fire as well as smoke in the tanks using different sensors along with real time surveillance system. The main goal of the IoT-based systems is to prevent accidents and alert the authorities of the industries.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129489332","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: 3
Signature Recognition using Siamese Neural Networks 使用连体神经网络的签名识别
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688430
Voruganti Ajay Krishna, AtthapuramAkshay Reddy, D. Nagajyothi
{"title":"Signature Recognition using Siamese Neural Networks","authors":"Voruganti Ajay Krishna, AtthapuramAkshay Reddy, D. Nagajyothi","doi":"10.1109/ICMNWC52512.2021.9688430","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688430","url":null,"abstract":"The traditional role of a signature is to permanently affix a person’s uniquely identifiable, self-identification to a document as physical evidence of that person’s personal witness and certification of the content of the entire document, or a selected portion of it. Yet with the technology advancement and tools available now a day it is easy to catch the culprits with artificial intelligence and neural networks. The neural network we used is Siamese neural network which is an artificial neural network which takes in similar input vectors and produces comparable output vectors. We are trying to make a user friendly interface using modern web technologies and the most data science language python and a simple Flask backend using python, the model is trained as per the signature images uploaded to a form on a local server then the images are taken and fed to the Siamese neural network to predict if they are forged or not and the results are going to be displayed in a user friendly format in the homepage.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340872","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
Design and Development of Autonomous Warehouse Management Robot with Intelligent Software Framework 基于智能软件框架的自主仓库管理机器人的设计与开发
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688354
Md. Zıa Ur Rahman, Mohit Kumar Kanchi, M. A. Aleem Pasha, Bharath Kumar Yadla
{"title":"Design and Development of Autonomous Warehouse Management Robot with Intelligent Software Framework","authors":"Md. Zıa Ur Rahman, Mohit Kumar Kanchi, M. A. Aleem Pasha, Bharath Kumar Yadla","doi":"10.1109/ICMNWC52512.2021.9688354","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688354","url":null,"abstract":"The autonomous warehouse robot plays a vital role in maintaining the supply chain for the product supply business and maintaining the supply chain from beginning to end. Demand for autonomous warehouse management robots that can interact with each other without human intervention, is rapidly increasing. These autonomous warehouse management robots help us to main a warehouse which consists of thousands of thousands of cartons or cargos in an authorized and systematic way. This paper describes the improvements that can be made to the present-day conventional warehouse management system where the robots will be controlled by humans. This work, explains how to design an Automated guided vehicle, such as self-driving forklifts where it can transport the inventory from one place to another place within the warehouse and the dealers and consumers can access the products by an application like an E-commerce application where the merchant can sell their goods and consumers can order the products that they want. All the prominent tasks in the inventory system such as order tracking, shipment, picker routing, order picking system, and storage slotting are discussed in this paper. So, this system provides fast, efficient, and robust inventory management.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121522556","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
Design of MEMS Model to Analyse Pressure and Hygroscopic Swelling Variables for EMC (Epoxy Mold Compound) 用于分析EMC(环氧模复合材料)压力和吸湿膨胀变量的MEMS模型设计
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688409
S. Shameem, K. Sony, K. B, K. Babu, Sreeharsha Bollaram, B. D. Pullela
{"title":"Design of MEMS Model to Analyse Pressure and Hygroscopic Swelling Variables for EMC (Epoxy Mold Compound)","authors":"S. Shameem, K. Sony, K. B, K. Babu, Sreeharsha Bollaram, B. D. Pullela","doi":"10.1109/ICMNWC52512.2021.9688409","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688409","url":null,"abstract":"Moisture and pressure desorption characteristics of any epoxy mold compound (EMC) at different conditions, are studied in this paper. As these are the main constraints for the chip to get rid of the mold, here we are considering various values of pressure and moisture to study the deformation caused by different factors. The adhesive strength of the EMC interfaced with different metals is observed. A significant permanent change of the dimension of EMCs due to decohesion and moisture absorption was observed in this paper. These factors (pressure and moisture) are responsible for the durability of the model, when paired with an optimal conductor and when used over time there will be a major improvement in durability. This indicates that not in all the cases the samples can be recovered back to normal, this can cause gaps between the metal and EMC, where it loses contact between these two materials which intern loses the insulation. An optimal metal to attach to the EMC and the optimal height of the EMC is Analysed.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115452019","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
Detection of Lung Cancer In CT Images Using Different Classification Techniques 不同分类技术对肺癌CT图像的检测
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688446
M. T., Ramesh. D
{"title":"Detection of Lung Cancer In CT Images Using Different Classification Techniques","authors":"M. T., Ramesh. D","doi":"10.1109/ICMNWC52512.2021.9688446","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688446","url":null,"abstract":"Cancer is one of the most deadly diseases that results in death. Lung cancer is the most common type of cancer and the main cause of death from cancer. Lung cancer survival rates are highly dependent on early identification and staging of the tumor. Image processing technique has a major role in the area of medical, in the detection of diseases. Computer Aided Diagnosis (CAD) systems were created to identify lung cancer in its early stages. This research aims to improve lung cancer identification performance in terms of accuracy, range and responsiveness. This work demonstrates a computerized method in detecting lung cancer using computed tomography images. The algorithm for the detection of lung cancer identification has steps such as image pre-processing, which is carried out by median filter, next is to obtain the region of interest using watershed segmentation and feature extraction. Then the SVM classifier and the KNN classifier are used in the detection of lung cancer.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833284","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
A Comparative Analysis of Various Blockchain Hardware Platforms Using Ethereum 使用以太坊的各种区块链硬件平台的比较分析
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9687830
M. Swain, Dilip Lilaramani, G. Mahesh
{"title":"A Comparative Analysis of Various Blockchain Hardware Platforms Using Ethereum","authors":"M. Swain, Dilip Lilaramani, G. Mahesh","doi":"10.1109/ICMNWC52512.2021.9687830","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9687830","url":null,"abstract":"This paper conducts a performance analysis of popular blockchain platforms, RISC-V, to assess the performance and limitations of these state-of-the-art platforms. This paper performs a performance analysis of popular blockchain platforms, RISC-V, to evaluate the performance and limitations of these state-of-the-art platforms. Blockchain, a decentralized transaction and data management technology, is the technology that will have similar impacts as the Internet had on people's lives. Many industries have become interested in adopting blockchain in their IT systems, but scalability is an often-cited concern of current blockchain technology. Therefore, the goal of this article, to analyze and compare the performances of var-ious hardware platforms available for blockchain. The plat-forms preferred for conducting this research works are X86, ARM, and RISC-V. The computational capabilities have been showcased and elaborated in detail. First, the compatibility of the blockchain has been checked with Ethereum. Second, critical parameters like time and space complexity are considered to find the best suitable platform.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130857705","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
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