2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献_第3页

Investigation of Attention Deficit Hyper Activity Disorder through Statistical Analysis 注意缺陷多动障碍的统计分析研究

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688462

M. Anandaraju, Sunitha S L, Naveen B, B. S. Raghukumar

{"title":"Investigation of Attention Deficit Hyper Activity Disorder through Statistical Analysis","authors":"M. Anandaraju, Sunitha S L, Naveen B, B. S. Raghukumar","doi":"10.1109/ICMNWC52512.2021.9688462","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688462","url":null,"abstract":"Deliberation of attention Deficit Disorder (ADD) is behaviour and influential issue. ADD is a broadly recognized youth neurological problem and can progress through puberty and adulthood. ADD Results anger, less focused, unable to control, and hyperactivity. It is a determined condition that impacts countless youths and consistently drives them into maturity. Kids with ADHD struggle to fight with low certainty, lamented associations, and dreary appearing in school. ADHD can cause huge enthusiastic, social, and instructive issues. In any case, preliminary known ADHD causes can be treated so youngsters can grow up to have beneficial, effective, and satisfying lives. The principal reason for this Statistical Analysis is to track the variations in ADHD subjects, who are under medications. Statistical analysis of ADHD has been briefly discussed in this paper for two controlled ADHD subjects using one-way and multiple analysis of variance procedure. The mean age of the subject (both are male) is 18 years with the ADHD p values 0.39 and 0.3 respectively. A complete investigation is done to discover the varieties of scores in each question and the inconstancy between the subjects.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"83 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":"122677685","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

8x8 SFQ based Multiplier design using Verilog in Cadence 使用Verilog在Cadence中设计基于8x8 SFQ的乘法器

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688467

Ravi Hosamani, V. Patil, Rakesh H M, Manu T.M., Chetan Saraf, P. Y G

引用次数: 2

Fuzzy Numerical Morphological approach for Super Resolution of MR Brain Images 脑磁共振图像超分辨率的模糊数值形态学方法

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688525

Charles Stud Angalakurthi, Ramamurthy Nallagarla

{"title":"Fuzzy Numerical Morphological approach for Super Resolution of MR Brain Images","authors":"Charles Stud Angalakurthi, Ramamurthy Nallagarla","doi":"10.1109/ICMNWC52512.2021.9688525","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688525","url":null,"abstract":"Magnetic resonance imaging (MRI) is an incredible medicinal technology provides relative information regarding the parts of the human body. For the diagnosis, high resolution MR images are essential to extract the detailed information about the diseases. But high resolution (HR) images will be constructed from number of low resolution (LR) images. It is time consuming process to construct a HR image from the number of LR images. However, with the measured single MR images it’s a challenging issue in extracting the detailed information associated to disease for the posterior analysis or treatment. In general, to improve the contrast of MR image histogram equalization has to be performed. In the proposal, for the resolution enhancement of the MR brain images a soft computing approach i.e. fuzzy mathematical approach is implemented. Irrespective of the region, it is possible to manipulate the intensities over the entire region with the help of fuzzy logic so that the resolution will be improved. To analyze the proposal qualitatively and quantitatively different performance image metrics are evaluated like PSNR, entropy etc. And from the results it can be observed that better results are obtained with the proposal when compared with the conventional methods.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"32 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":"122856712","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 Probabilistic determination of Resilience of QMS’s Simultaneous Server-Side Connections Approaches/Methodologies QMS服务器端同步连接方法/方法弹性的概率确定

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688358

Jedidiah Aqui, M. Hosein

{"title":"A Probabilistic determination of Resilience of QMS’s Simultaneous Server-Side Connections Approaches/Methodologies","authors":"Jedidiah Aqui, M. Hosein","doi":"10.1109/ICMNWC52512.2021.9688358","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688358","url":null,"abstract":"The usage of NFC and Bluetooth technology in terms of a quiz management system in a smart classroom setup was explored in the work done by [2] and [3]. These papers focused on research geared towards increasing more simultaneous server-side connections to further bolster the usage of the aforementioned protocols in a smart classroom setup, particularly in the circumstance of a global pandemic. From these two aforementioned papers, one was able to appreciate the fact that 3 main methods of increasing more simultaneous server-side connections were identified and tested. Whilst the work done was notably extensive, a key disparity in the testing methodology would have been identified in the datasets produced by approaches 1 version 2 and 3 when compared to approach 3. This conference paper seeks to provide a look into the resilience of each method by ensuring that the same sample size is applied for all three methods of the previous papers and that probabilistic testing and analysis occurs whereby the results can be analyzed and dissected to establish which method is most resilient.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"53 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":"131492458","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

Off-Board Li-Ion Battery Fast Charger with Two-Stage Bidirectional Converter for Electric Vehicles 带两级双向变换器的车载锂离子电池快速充电器

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688491

A. Srilatha, A. Pandian, P. S. Varma

引用次数: 0

Design and Development of Smart Driver Safety System using the Behavioural and Physiological Data Approach 基于行为和生理数据方法的智能驾驶员安全系统设计与开发

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688514

Deepak Varadam, Kadarabenchi Valmiki Ganesh

{"title":"Design and Development of Smart Driver Safety System using the Behavioural and Physiological Data Approach","authors":"Deepak Varadam, Kadarabenchi Valmiki Ganesh","doi":"10.1109/ICMNWC52512.2021.9688514","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688514","url":null,"abstract":"An automotive smart driver safety system for collision avoidance and warning is implemented by adopting invehicle communication. The implementation of the system is carried out for monitoring the driver of the vehicle using the behavioural and physiological data approach. The behavioural and physiological data is monitored by using various parameters of the driver like fatigue, drowsiness, attention diversion, abnormal heart rate, and stress levels. ARM CORTEX A-53 & ATMEGA 326 microcontrollers are used as a central processing unit. Sensors and a camera are used to monitor the driver as input. GPS receiver is used for collecting the vehicle information and direction of movement of the vehicle. This information along with the monitoring data is transmitted to the ARM CORTEX A-53 processor. Appropriate microcontroller coding is chosen. If any abnormal activity is detected the warning message will be displayed on an LCD screen or an alarm sound is given to the driver. The project proposes a low-cost and improved approach for Collision Warning and Accident Avoidance systems. A stable and reliable smart driver safety system is developed by considering ARM CORTEX A-53 microcontroller and GPS, GSM as a data communication platform.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"91 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":"117098516","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

Mathematical Model Analysis for Liver Tumor Prediction 肝脏肿瘤预测的数学模型分析

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688502

C. Geetha, A. Arunachalam

{"title":"Mathematical Model Analysis for Liver Tumor Prediction","authors":"C. Geetha, A. Arunachalam","doi":"10.1109/ICMNWC52512.2021.9688502","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688502","url":null,"abstract":"Human liver disease is a genetic problem caused by drinking too much alcohol or being infected by a virus. If not diagnosed in the early stages, it can lead to liver disease or cancer. This paper proposes a method for predicting the likelihood of a patient developing a certain illness in the future. The decision is based on comparative evidence available and the assumption that all other physical parameters remain unchanged. Despite the fact that technical advancements have resulted in the collection of data pertaining to patients with various disease states, assessing the prediction efficiency of machine learning algorithms is a crucial step. Many real-world databases, including liver disease diagnosis data, have a problem with class imbalance. The fundamental essence of the parameters is perceived by the diversity in the core propensity of the attributes. To catch the random trends of the attributes, the prediction model is formulated using the Brownian motion framework. The contribution of the key blood attributes in liver disease is demonstrated using Spearman's correlation coefficient, which examines the correlation between different blood parameters and the result, is improved. This paper discusses about the statistical methods used to forecast liver tumor.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"270 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":"123162905","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 Automated Deep Learning Model for Detecting Sarcastic Comments 用于检测讽刺评论的自动深度学习模型

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688410

Jaico Jose, Preethi N

引用次数: 0

A Web Based Approach for Navigation Technology using Fused Location API 一种基于Web的融合定位API导航技术

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688537

Bharath Ravi Prakash, S. S. Kulkarni

引用次数: 0

Emergency Ambulance Service Framework Using PSO and RFID 基于PSO和RFID的紧急救护服务框架

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688508

Shanoorbaba Mabub Yargatti, Udaykumar Naik

引用次数: 0