2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)最新文献

Analyzing Doppler Effects in Millimeter Wave VANET Communications Using BCH Coding 利用BCH编码分析毫米波VANET通信中的多普勒效应

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075280

Arshee Ahmed, Haroon Rasheed

{"title":"Analyzing Doppler Effects in Millimeter Wave VANET Communications Using BCH Coding","authors":"Arshee Ahmed, Haroon Rasheed","doi":"10.1109/IMCERT57083.2023.10075280","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075280","url":null,"abstract":"The signal is attenuated and distorted in millimeter wave communication due to the short wavelength. Path loss is also significant because of its high carrier frequency. Further, it is more susceptible to rain and atmospheric attenuation. So the demand for reliable communication links and high transmission rates have tremendously increased during the last few years. The wireless communication in Vehicular Ad-Hoc Network (VANET) involves the transmission with lowest number of errors. The high mobility of the nodes in VANET results in an Induced Doppler Shift (IDS) in the carrier frequency at the receiver end. Therefore, effective communication in millimeter wave links for vehicular environments can be achieved by a deep understanding of the VANET communication channel, which is importantly different from those studied at frequencies below 6 GHz. Doppler shifts can negatively impact the reliability of V2V communication. In this paper, the analytical expression of the Doppler Effect for VANET communication is derived using our previous derived expression for Bose-Chaudhuri-Hocquenghem (BCH) coding in millimeter waves. It is observed that the proposed model results outmatch existing techniques addressing Doppler shifts.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129067311","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

Design and Development of Die Sink Electrical Discharge Machine for Melting Point and Removal Rate of Materials 材料熔点和去除率模沉式电火花机的设计与研制

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075169

Mudasser Waqas, Zeeshan Ali, Adnan Hussain, Muzzamil Waqas

引用次数: 1

Assessment of Advanced Artificial Intelligence Techniques for Flood Forecasting 洪水预报的先进人工智能技术评估

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075119

M. Waqas, S. Bonnet, Usa Humphries Wannasing, Phyo Thandar Hlaing, Hnin Aye Lin, Sarfraz Hashim

{"title":"Assessment of Advanced Artificial Intelligence Techniques for Flood Forecasting","authors":"M. Waqas, S. Bonnet, Usa Humphries Wannasing, Phyo Thandar Hlaing, Hnin Aye Lin, Sarfraz Hashim","doi":"10.1109/IMCERT57083.2023.10075119","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075119","url":null,"abstract":"Flooding is a natural calamity that can destroy people's lives, infrastructure, and the economy. Forecasting floods is critical for providing people with long-term flood risk management. Flood forecasting is essential in providing early information and knowledge to decision-makers to reduce the impact of flooding. The warning can also be given to potential flood victims and locations, and necessary action, such as mitigation and evacuation, can be taken. With current estimates showing increasing future scenarios, comprehensive flood risk management measures, including flood modelling, are needed. This publication aims to analyses flood risks worldwide. Various AI techniques have been developed and deployed to predict floods and take preventative actions. The primary goal of this study is to assess current improvements in flood forecasting utilizing artificial neural networks (ANNs), adaptive neuro-fuzzy inference systems (ANFIS), support vector machines (SVMs), and k-nearest neighbors (KNN s), As a result, this research presents the most effective short and long-term flood modelling techniques. ANNs, ANFIS, and SVMs are the most successful solutions for forecasting floods. Finally, new research and development directions are suggested to predict floods and take preventative actions.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132450135","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 Metrics of RAKE Receivers RAKE接收机的性能指标

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075244

Ahmed Faraz

{"title":"Performance Metrics of RAKE Receivers","authors":"Ahmed Faraz","doi":"10.1109/IMCERT57083.2023.10075244","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075244","url":null,"abstract":"This paper deals with performance evaluation of RAKE receivers. The need to evaluate the performance of RAKE receivers is the necessity of quantitative analysis for the purpose of comparison with other wireless communications based receivers and analysis of market value for deployment in receiver based devices. In CDMA spread spectrum systems, the multipath components of transmitted signals are those signals which are received at the CDMA receiver side after some propagation delay involved during transmission from the transmitter side. Therefore multipath components are referred as morphological forms of transmitted signals in CDMA spread spectrum based systems. It has been said that the propagation delay of multipath components must not exceed the chip rate of CDMA receivers. The RAKE receiver is CDMA spread spectrum system based receiver designed on the basis of triple modular redundant system. The RAKE receiver has three correlators which work as sub modules of triple modular redundant system. The three correlators of RAKE receiver are receivers which receive and process the time shifted multipath signals and propagate the processed signals to summer or integrator if the propagation delay is lesser than chip period after assigning weights to the processed time shifted multipath signals. The outputs of correlators are weighted with waiting coefficients then propagated to the summer for further signal processing. The RAKE receiver is always CDMA spread spectrum system based receiver. Using quantitative modeling techniques I found out that using M decision based correlators in RAKE receivers for receiving time shifted multipath signals improves the overall performance of RAKE receivers by reducing the bit error rate of the time shifted multipath signals and overcoming signal fading effects.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130465587","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

Comparative Analysis of Deep Learning Methods in the Realm of Sentiment Analysis 情感分析领域中深度学习方法的比较分析

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075107

C. Lal, Z. Nasir

引用次数: 0

A Real-time Sequence Based Human Activity Detection System 基于实时序列的人体活动检测系统

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075257

Waqas Iqrar, A. Shahzad, Waqas Hameed, Malik ZainxUl Abidien

{"title":"A Real-time Sequence Based Human Activity Detection System","authors":"Waqas Iqrar, A. Shahzad, Waqas Hameed, Malik ZainxUl Abidien","doi":"10.1109/IMCERT57083.2023.10075257","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075257","url":null,"abstract":"During the last decade, human activity detection is increasingly attracting the attention of researchers, due to its numerous applications, such as in smart and automated shopping malls, hospitals, etc. Particularly, detecting human activity has been a challenge for researchers because complex situations may arise such as background clutter or changing illumination. To solve this issue, video segment classification cannot be tackled just as object identification. Therefore, it becomes inevitable to employ sequence-based techniques for video classification. In this paper, a Convolution Neural Network (CNN) is used in conjunction with Long Short-Term Memory (LSTM) to accomplish real-time human activity detection. In the proposed method, CNN serves as a spatial information detection algorithm from video while LSTM helps in the sequential tracking of identified objects quickly and accurately. This CNN-LSTM approach reduces the complexity of the model while also enhancing its accuracy along with enabling its real-time execution. Finally, a Raspberry Pi that functions as a standalone system is utilized for the implementation of the proposed CNN-LSTM approach. The results are presented and analyzed to solidify that the proposed standalone system can detect and classify events for real-time surveillance.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116108089","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

Hybrid Approach using Extreme Gradient Boosting (XGBoost) and Evolutionary Algorithm for Cancer Classification 基于极限梯度增强(XGBoost)和进化算法的癌症分类混合方法

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075236

Muhammad Talha Ashraf, Isma Hamid, Qamar Nawaz, Hamid Ali

{"title":"Hybrid Approach using Extreme Gradient Boosting (XGBoost) and Evolutionary Algorithm for Cancer Classification","authors":"Muhammad Talha Ashraf, Isma Hamid, Qamar Nawaz, Hamid Ali","doi":"10.1109/IMCERT57083.2023.10075236","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075236","url":null,"abstract":"Cancer is a leading cause of mortality globally. World Health Organization estimates that around 10 million people die from cancer in 2020. Cancers of the colon, breast, lung, central nervous system, cervix, and prostate are quite common. In most cases, cancer may be efficiently treated if caught early. The biological data included in microarrays is very informative. This data analysis aids in the identification and treatment of difficult illnesses. It is quite difficult and time consuming to train a model with such a large number of features, when they are all input directly. Therefore, we employ an Evolutionary Algorithm named as Group Counseling Optimizer (GCO) in tandem with Extreme gradient boost (XGBoost) to classify cancer in microarray data. At the outset, we have the Extreme Gradient Boosting ensemble-selected features. In this step, irrelevant features are eliminated, and a set of optimal characteristics for detecting cancer has been generated. In a second usage, the evolutionary method is used for cancer classification.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234078","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

Semantic Social Searching-An Ontology Based Approach 语义社会搜索——基于本体的方法

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075145

I. Sindhu, Faryal Shamsi

{"title":"Semantic Social Searching-An Ontology Based Approach","authors":"I. Sindhu, Faryal Shamsi","doi":"10.1109/IMCERT57083.2023.10075145","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075145","url":null,"abstract":"Nowadays, people rely on search engines for retrieving information. However, by submitting a query to traditional web search engines they get bundle of information at just one place. On the other hand when people wants to get expert opinion, they first try to approach their friends, families, and colleagues rather than a search engine because of the high level of intimacy trust. The recent and rapid rise of online social networking sites has made it possible to do it on a large scale. By keeping this in view many social searching tools are developed to facilitate the user to get the information from multiple social networking sites such as Google Social search, Social mention etc. These tool search information using keyword-based matching criteria, which makes it harder for normal user to find his/her desired information from the huge amount of retrieved data. This research work is intended to provide a social searching framework so that users can get the desired result easily. The proposed framework will first analyze the query semantically and filter out the irrelevant results and then results are ordered according to the user as well as post ranks. For that a ranking function will be devised that will compute users and posts ranking. As a result, user experience of performing social search will be improved.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128792361","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

Impact of Computer Gaming Addiction on Body Mass Index - A Quantitative Investigation about Sukkur City of Pakistan 电脑游戏成瘾对身体质量指数的影响——对巴基斯坦苏库尔市的定量调查

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075233

Faryal Shamsi, I. Sindhu, S. Fatima

引用次数: 0

Temperature prediction by gene expression programming 基于基因表达编程的温度预测

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075127

Boobphachard Chansawang, M. Waqas, Usa Humphries Wanasing, Phyo Thandar Hlaing, Hnin Aye Lin, Rashid Ali

引用次数: 0