2022 International Conference on Engineering & MIS (ICEMIS)最新文献

{"title":"Network Traffic Image Dataset Generation from PCAP files for Evaluating Performance of Machine Learning Models","authors":"S. Swathi, G. Lakshmeeswari","doi":"10.1109/ICEMIS56295.2022.9914007","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914007","url":null,"abstract":"Detection of network attack traffic in network environments is majorly studied in the literature by applying various data mining and machine learning techniques. The existing studies which applied data and machine learning techniques consider network traffic instances in either pcap or csv representations. In the current contribution, the basic idea is to use network traffic images which are obtained from pcap representations. These generated network traffic images are then used to design and build efficient machine learning models. Another advantage of representing the network traffic in the form of images is that these images can be used to evaluate the computational performance of deep learning models also. Till date, the existing machine learning studies on cloud network traffic attack detection and network environments did not apply network traffic images to build machine learning models but only applied to build deep learning models which form the motivation for the present research. We propose to use the network traffic images for designing new machine learning models.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131247268","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 Performance Evaluation of the Clustering-based Labelling Scheme","authors":"Alhadi A. Klaib, C. C. Venters","doi":"10.1109/ICEMIS56295.2022.9914208","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914208","url":null,"abstract":"XML is a common technique for formatting and exchanging data across the Internet world. Updating and retrieving XML data is an active research area. In addition, indexing XML data is a significant task to improve the efficiency of XML queries. Labelling nodes is the used technique for indexing XML data efficiently. The Clustering-based Labelling Scheme (CLS) was proposed to address some limitations and challenges of indexing XML data. This paper aims to evaluate the performance of the clustering-based labelling scheme. Thus, a set of experiments were identified and designed for the evaluation purpose. Moreover, an appropriate dataset for testing the CLS scheme was identified. Subsequently, the experiments were carried out, and then the results were analysed and assessed to gain the findings of the experiments. Consequently, the results of these experiments suggest that the CLS achieved the target results with few expectations. Therefore, this evaluation showed an improvement in the performance and oefficiency of labelling XML documents.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322455","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":"The Impact of Li-Fi Technology on Industrial Wireless Sensors Networks","authors":"Naila Elmangosh, I. Ighneiwa, I. Elshami","doi":"10.1109/ICEMIS56295.2022.9914121","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914121","url":null,"abstract":"Industrial monitoring systems based on industrial wireless sensor networks IWSNs as Supervisory Control and Data Acquisition (SCADA) systems are vital components of most nations’ critical infrastructures. One of the industrial protocols that are used by wireless sensors is ZigBee. This standard has advantages such as low power consumption, good coverage area, and easy expansion of the network. But it has lower data rates, it operates in 2. 4GHz band which makes it not immune against interference, it is affected by electromagnetic fields. Recently, more concern appears toward light communication, especially toward Li-Fi (Light-Fidelity) technology. It uses light emitting diodes (LEDs) for high speed wireless communications, and speeds of over 3 Gb/s. Li-Fi communication has many advantages over RF communications, Li-Fi is faster, interference immune has wider bandwidth, and is more secure, these features make Li-Fi communications the better choice in wireless industrial communications. In this study a suggestion of replacement of the ZigBee protocol as a wireless communication used in industrial field with Li-Fi protocol, also the study evaluates the optimum performance of Wireless SCADA that utilizes only IEEE S02.15.4 protocol (which ZigBee is based on). The study evaluates the optimum performance of an industrial wireless sensor network that utilizes only the IEEE S02.15.17 protocol (Li-Fi). OMNeT++ simulations are used to evaluate the performance of the two protocols by measuring the end-to-end delay, bit error rate, power consumption, and other parameters.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129506049","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":"Using Machine Learning Model To Predict Libyan Telecom Company Customer Satisfaction","authors":"AbdulHamid Omar, Mansour Essgaer, Khamiss M. S. Ahmed","doi":"10.1109/ICEMIS56295.2022.9914055","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914055","url":null,"abstract":"Sentiment analysis is a field that studies the polarity of opinions from texts and determines whether they are positive, negative, or neutral. Since analyzing a large amount of data manually takes a long time, a machine learning-based system had emerged. In this study, a sentiment analysis system to determine the customer opinions of the three major Libyan telecommunication companies namely: (Libyana, Almadar Aljadid, and Libya Telecom and Technology) is proposed, where customer opinions were collected from Twitter. Several pre-processing and cleaning steps had been applied to the collected corpus to improve the performance of the models. Five machine learning models, namely: support vector machine, logistic regression, naive Bayes, K-nearest neighbor, and decision tree have been applied. An initial experiment showed that most of the models are overfitting due to class imbalance. Followed class balancing step is performed for all companies. The results showed that the support vector machine was the best in predicting the customer sentiment of the Libyana telecom company with an accuracy of 80.67%. The naive Bayes was the best on Almadar Aljadid with an accuracy of 81.19%. In Libya Telecom and Technology, the result showed that the performance of the decision tree was the best at 75%. This study showed that the sentiment of Libyan telecom companies was successfully predicted through content posted on the Twitter social media platform, which might assist those companies in improving their services.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129853342","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":"Rotor vibration and experimental Study of Centrifugal fan","authors":"Magraoui Rabah, Ouali Mohammed","doi":"10.1109/ICEMIS56295.2022.9914038","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914038","url":null,"abstract":"Industrial fans are a necessity in milling plants that run around the clock. Unexpected downtime due to a fan’s mechanical issues can cost a company hundreds of thousands of dollars in lost time and throughput. Accurate predictions of rotor system dynamic characteristics are very important and essential for reliable long-term fan operation.During its operation, several forces act on the centrifugal forces; like fluid-induced forces but also forces with a mechanical background. These forces originate due to imperfect balance (like a slight bent in the shaft or a mass eccentricity), design faults, and bearings. These forces may grow to an unacceptable level when the rotor is operational near its natural frequency. Rotor vibration was studied analytically and numerically using Solidworks frequency analysis and an experimental test are performed to validate the results.A solution to the founded problem was proposed at the end.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372307","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 Enhanced Technology Acceptance Model to Measure the Usability of E-Commerce Application for Agricultural Services","authors":"Sadam A. Almgron, Abdelsalam M. Maatuk, Monther M. Elaish","doi":"10.1109/ICEMIS56295.2022.9914110","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914110","url":null,"abstract":"E-commerce is considered an important factor in the new economy, as it began to spread in many developing countries and contributed to the implementation of their development plans. It is estimated that e-commerce activities will be a major source of foreign exchange and an indicator of national development. However, there is a dearth of studies regarding the adoption or acceptance of the use of e-commerce in developing countries, including Libya. This study aims to develop and enhance the Technology Acceptance Model (TAM) to fit the measurement of the usability of e-commerce for agricultural products in Libya. External variables were added to the original TAM model due to their impact on the adoption of e-commerce acceptance in developing countries. The proposed variables were tested by a group of experts using a special questionnaire. A website was designed to implement the proposed model, and a second questionnaire was distributed to use it. The study results showed that the variables added to the model, i.e., age, security concerns, experience, privacy, web skills, and computer proficiency, were fully confirmed and verified by experts. The results also showed that all values of Cronbach’s alpha stability coefficients for all study variables as well as for the overall result are high.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115044720","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":"Image Captioning Techniques: A Review","authors":"Anbara Z Al-Jamal, Maryam J Bani-Amer, Shadi A. Aljawarneh","doi":"10.1109/ICEMIS56295.2022.9914173","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914173","url":null,"abstract":"Image captioning is the process of generating accurate and descriptive captions. As a recently emerged research area, it is attracting more and more attention. To achieve the goal of image captioning, semantic information of images needs to be captured and expressed in natural languages. Image captions need to identify objects, actions, their relationships, and some salient features that may be missing from the image. After identification, the next step is to generate the most relevant and concise image description. This should be syntactically and semantically correct. Deep learning techniques can handle this process with CNNs and LSTMs. In this survey paper, we first talk about techniques used in early work that are mainly retrieval and template-based. Then, we focus on neural network-based techniques, which offer contemporary results. These techniques are in addition divided into subcategories based on the specific framework. Each subcategory is discussed in detail. After that, state-of-the-art methods are compared on benchmark datasets. Following that, discussions on future research approaches are presented.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117324317","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":"Comparison Between Gramian Angular Fields (GAF) and Markov Transition Field (MTF) Images Data by Using them as Input to the Deep Learning Neural Network Solar Flare Production Platform","authors":"Tarek A. M. Nagem, Sohil F. Alshareef, Abdel-rahman Mohamed, Akram Gihedan, S. Albargathe","doi":"10.1109/ICEMIS56295.2022.9914357","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914357","url":null,"abstract":"The prediction of solar storms from real-time satellites data is an essential to protect various aviation, power, and communication infrastructures. For this reason, current research interest is focusing on creating systems that can predict solar fare accurately. This paper combers Gramian Angular Fields (GAF) images and Markov Transition Field (MTF) images that have been generated by converting pre-flare Geostationary Operational Environmental Satellite (GOES) data from 2010 to 2016. After that, the deep learning neural network for the solar flare production platform accepts both MTF and GAF images as input to generate the predictions. Furthermore, this paper; investigated using MTF and GAF images spritely as input to the solar flare production platform. After that, the results of MTF and GAF images were compared using various prediction verification measures.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131371788","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 Statistical View toward Cardiovascular and Diabetes & Kidney Diseases in the Middle East and North Africa Compared to the United States and the European Union","authors":"Abdulkarem Almshnanah, Azzam Radman, A. Al-Badarneh","doi":"10.1109/ICEMIS56295.2022.9914140","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914140","url":null,"abstract":"Noncommunicable diseases are the major cause of death in low- and middle-income countries. Cardiovascular, Diabetes, and Kidney diseases are considered the deathliest types Among all types of noncommunicable diseases in low- and middle-income countries. The objective of this study is to investigate the death rates of Cardiovascular, Diabetes, and Kidney Diseases in developing countries particularly the Middle East and North Africa and compare their rates with the industrialized countries, the United States, and the European Union, over the period 1990-2019. Graphical and numerical diagrams were created for comparison purposes and proved by statistical analysis. The European Union has the highest death rate caused by Cardiovascular diseases over all remaining regions followed by the United States and the Middle East & North Africa. Concerning Diabetes and Kidney diseases, the United States has the highest death rate followed by the European Union and the Middle East & North Africa. For the last five years, the death rates of both types of diseases under this study in the Middle East & North Africa have increased gradually for both genders, especially the rates of Cardiovascular diseases for males and Diabetes and Kidney diseases for females. The results of this study can help legislators in the health sector of the Middle East and North Africa countries to develop robust strategies for Cardiovascular, Diabetes, and Kidney Disease prevention.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"37 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124385350","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 Look at the Wind Energy Prospects in Iraq: Review","authors":"Zozan Hussain, Shaymaa Alhayali, Z. Dallalbashi, T. K. M. Salih, Mohammed Khalid Yousif","doi":"10.1109/ICEMIS56295.2022.9914119","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914119","url":null,"abstract":"This research provides an overview of Iraq’s renewable energy prospects. One of the most important sorts of renewable energy resources in the world is wind energy. Wind energy is considered environmentally beneficial and very economical. These benefits are cited as the primary reasons for using wind turbines to generate power across the world. An assessment of the country’s profile has been made, taking into consideration existing energy generation, crude oil production at current levels, gas flares that generate CO2 emissions, as well as industry, human activities, and grid electricity distribution. Iraq has power shortages, and several obstacles must be solved in order to satisfy projected increases in electrical demand. This analysis discovered that solar, wind, and biomass energy are now underutilized, but that they might play a key part in Iraq’s sustainable energy future. Wind energy, for example, has become an important aspect in reducing pollution and improving air quality. The usage of tiny wind turbines to generate power under Iraqi meteorological conditions is examined in this study. The research evaluates the wind system that is necessary to provide electric power for highway services including lighting and parking. According to the study’s findings, wind turbines can be used effectively for roadway illumination. The efficiency of a maximum wind turbine is determined by the blade design. For the planned use, the wind speed reported in Iraqi winter is pretty acceptable. Alternative and sustainable energy, wind energy, Iraqi climate are all index terms. The Iraqi government recently joined the Paris Climate Agreement and is now starting to encourage the participation of small and large consumers to generate electricity from renewable energy sources. This article analyzes the hybrid electrical system of solar and wind energy for the city of Dohuk, the northern part of Iraq, to find out the feasibility of this system compared to the local electrical network. First, access to solar and wind energy resources in Dohuk were ensured.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699297","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}