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An Intrusion Detection System in IoT Environment Using KNN and SVM Classifiers 基于KNN和SVM分类器的物联网环境下入侵检测系统
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19231
Abdulmalik M Alfarshouti, Saad M. Almutairi
{"title":"An Intrusion Detection System in IoT Environment Using KNN and SVM Classifiers","authors":"Abdulmalik M Alfarshouti, Saad M. Almutairi","doi":"10.14704/web/v19i1/web19231","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19231","url":null,"abstract":"IoT applications are now used in most applications in this world to facilitate data collection and remote and automatic management of all modern devices. Due to the large spread of these devices in multiple regions, they become easily vulnerable to penetration by many types of attacks. This research will focus on network layer denial of service (DOS) attacks to detect. This type of attack was chosen because of its danger to the availability of services, such as e-commerce services, financial and government services, as well as educational organizations. Failure to provide these services frequently leads to huge financial losses in addition to loss of confidence in these organizations. Machine learning techniques will be used in the proposed research to detect these attacks in a fast and efficient manner.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48722010","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
Application of Data Mining and Knowledge Discovery in Medical Databases 数据挖掘和知识发现在医学数据库中的应用
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19329
Ahmed Mahdi Abdulkadium, Raid Abd Alreda Shekan, Haitham Ali Hussain
{"title":"Application of Data Mining and Knowledge Discovery in Medical Databases","authors":"Ahmed Mahdi Abdulkadium, Raid Abd Alreda Shekan, Haitham Ali Hussain","doi":"10.14704/web/v19i1/web19329","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19329","url":null,"abstract":"While technical improvements in the form of computer-based healthcare information applications as well as hardware are enabling collecting of and access to healthcare data wieldier. In this context, there are tools to analyse and examine this medical data once it has been acquired and saved. Analysis of documented medical data records may help in the identification of hidden features and patterns that could significantly increase our understanding of disease onset and treatment therapies. Significantly, the progress in information and communications technologies (ICT) has outpaced our capacity to assess summarise, and extract insight from the data. Today, database management system has equipped us with the fundamental tools for the effective storage as well as lookup of massive data sets, but the topic of how to allow human beings to interpret and analyse huge data remains a challenging and unsolved challenge. So, sophisticated methods for automated data mining and knowledge discovery are required to deal with large data. In this study, an effort was made employing machine learning approach to acquire knowledge that will aid various personnel in taking decisions that will guarantee that the sustainability objectives on Health is achieved. Finally, the present data mining methodologies with data mining methods and also its deployment tools that are more helpful for healthcare services are addressed in depth.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45426731","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
Application of Theory of Reasoned Action (TRA) to Explain Continued Intention to Adopt (CIA) MHealth Services 应用理性行为理论(TRA)解释采用移动医疗服务的持续意向(CIA)
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19332
Luh Rai Maduretno Asvinigita, P. S. Piartrini, N. Suprapti, I. G. N. J. A. W. K
{"title":"Application of Theory of Reasoned Action (TRA) to Explain Continued Intention to Adopt (CIA) MHealth Services","authors":"Luh Rai Maduretno Asvinigita, P. S. Piartrini, N. Suprapti, I. G. N. J. A. W. K","doi":"10.14704/web/v19i1/web19332","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19332","url":null,"abstract":"MHealth is a digital healthcare technology with big data adoption. Identification of the factors that encourage consumers CIA mHealth application needs to be considered. The study aimed to describe influence of service quality perception (SQP), perceived vulnerability (PV), TRA toward CIA mHealth. Sampling was done online using an e-questionnaire and analyzed with PLS (partial Least Square) using SEM. A total of 429 respondents were involved, and 170 of them were met the inclusion criteria. The existent result implies that SQP and attitude significantly affect CIA. Meanwhile, PV and subjective norm (SN) not significantly influence the CIA. Effects of attitudes were able to partially mediate SQP and CIA. On the other hand, attitude cannot mediate perceived vulnerability and CIA. Empirical substation was expected to provide future analysis about CIA. Furthermore, improvements of service quality would induce the frequent use of mHealth application.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45651336","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
Detection of Diseases in Rice Leaf Using Deep Learning and Machine Learning Techniques 利用深度学习和机器学习技术检测水稻叶片病害
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19100
Dr. Abdul-Wahab Sami Ibrahim, Dr. Baidaa Abdul khaliq Atya
{"title":"Detection of Diseases in Rice Leaf Using Deep Learning and Machine Learning Techniques","authors":"Dr. Abdul-Wahab Sami Ibrahim, Dr. Baidaa Abdul khaliq Atya","doi":"10.14704/web/v19i1/web19100","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19100","url":null,"abstract":"Plant diseases have a negative impact on the agricultural sector. The diseases lower the productivity of the production yield and give huge losses to the farmers. For the betterment of agriculture, it is very essential to detect the diseases in the plants to protect the agricultural crop yield while it is also important to reduce the use of pesticides to improve the quality of the agricultural yield. Image processing and data mining algorithms together help analyze and detection of diseases. Using these techniques diseases detection can be done in rice leaves. In this research, the image processing technique is used to extract the feature from the leaf images. Further for the classification of diseases various machine learning algorithm like the random forest, J48 and support vector machine is used and the result is compared among different machine learning algorithm. After model evaluation, classification accuracy is verified using the n-fold cross-validation technique.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46487602","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
Restaurantscapes and its Impact on Customer Patronage: An Empirical Perspectives 餐馆景观及其对顾客光顾率的影响:一个实证视角
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19175
Dr. Heyam Abdulrahman Al Mousa, Zainab Mohammed Alwan Al-Juboori, H. Naeem
{"title":"Restaurantscapes and its Impact on Customer Patronage: An Empirical Perspectives","authors":"Dr. Heyam Abdulrahman Al Mousa, Zainab Mohammed Alwan Al-Juboori, H. Naeem","doi":"10.14704/web/v19i1/web19175","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19175","url":null,"abstract":"There is a considerable signal from empirical studies that many factors influence customer's patronage. The primary purpose of this research is to review the impact of restaurantscapes (space/function, hygiene, and social interaction) on customer patronage and customer emotional response to restaurantscapes in the kingdom of Saudi Arabia. Customer familiarity is a moderation variable the has been explored in this study. The framework of the present study was developed based on a systematic review of past literature, which has not been tested yet. Three hundred and nine (319) usable responses were obtained. Data were analyzed using Statistical Package for Social Science (SPSS) and Partial Least Square-Structural Equation Modeling (PLS-SEM). Based on the importance of the study's variables, the present paper stated a positive result in the relationship between restaurantscapes on customer emotional response and customer patronage and a positive relationship between customer emotional response and customer patronage. However, the study does not support the moderation role of customer familiarity. Thus, restaurantscapes will improve the Saudi restaurant's performance by increasing customer patronage. The paper emphasizes the critical value of restaurantscapes for restaurants owner/managers. Stimulus Organism and Response (S-O-R) theory was used to underlie the conceptual framework. In addition, some implications of this conceptual model for theory and practice are discussed.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42848039","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
In the Era of Digitization, Government’s Role in Alleviating Stunting 在数字化时代,政府在减轻贫困中的作用
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19330
Diana Lestari, Eny Rochaida, Rahcmad Budi Suharto, Shinta Mixila, I. N. Sutapa
{"title":"In the Era of Digitization, Government’s Role in Alleviating Stunting","authors":"Diana Lestari, Eny Rochaida, Rahcmad Budi Suharto, Shinta Mixila, I. N. Sutapa","doi":"10.14704/web/v19i1/web19330","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19330","url":null,"abstract":"The digital era transforms behavior change; this study aims to determine the role of local governments in the digital era and the pandemic in alleviating stunting in Indonesia. This type of research is qualitative; the research method uses in-depth interviews and triangulation for data analysis. Sources of data from Key informants and informants from the Department and the community in Loa Kulu District, Kutai Kartanegara. The results showed that the program “Deserves Healthy Sports” Kutai regional government applied mammal, in Kalimantan, Indonesia, has been applied in various areas through online media such as health programs. However, the socialisation of this health program is still lacking, and the health program is also not optimal; it is shown that the level of public health, especially regarding stunting, is still quite high. The program for the community’s welfare to alleviate poverty has not been achieved because the government’s efforts have experienced many obstacles in its implementation due to the pandemic, such as many residents who do not work due to limited employment opportunities. Residents do not have other work skills; another factor is distributing food. Does not support it, so that in order to collect data and distribute assistance for stunting toddlers, they still often experience obstacles.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48242948","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
Classification and Detection of ECG Arrhythmia and Myocardial Infarction Using Deep Learning: A Review 基于深度学习的心电心律失常和心肌梗死分类与检测综述
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19078
A. A. Rawi, Murtada Kalafalla Albashir, Awadallah M. Ahmed
{"title":"Classification and Detection of ECG Arrhythmia and Myocardial Infarction Using Deep Learning: A Review","authors":"A. A. Rawi, Murtada Kalafalla Albashir, Awadallah M. Ahmed","doi":"10.14704/web/v19i1/web19078","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19078","url":null,"abstract":"Recently, DL (Deep Learning) becomes the focus study for researchers in wide and various applications such as; healthcare, where early detection can play an important and vital role in diagnosing abnormal (pathological) conditions through an electrocardiogram (ECG). In the current study, an extensive presentation was given on the modern techniques that have been applied in the ECG device, which have been introduced to classify heart rhythms and identify disturbances in it precisely in the infraction of the myocardial. To enter the method that defines the biological systems of vision, studies have been studied and reviewed that specifically describe the Convolutional Neural Network (CNN). Also, researches and studies related to the subject have been summarized from several aspects, the most important of which are according to the sequence: collecting data and application areas, in addition to planning the form and content of the model and the type of data that is entered, and then evaluating the performance.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48271121","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
The Role of Human Resource Governance in Crisis Management Case Study (PEYRISSAC Company) 人力资源治理在危机管理中的作用案例研究(PEYRISSAC公司)
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19065
Dr. Badia Abed Al Latif Srour
{"title":"The Role of Human Resource Governance in Crisis Management Case Study (PEYRISSAC Company)","authors":"Dr. Badia Abed Al Latif Srour","doi":"10.14704/web/v19i1/web19065","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19065","url":null,"abstract":"The study aimed to show the role of human resource governance in crisis management by examining the relationship between it and crisis management. The study used a questionnaire as a means of collecting information, as the study population consisted of employees from PEYRISSAC Company. The study sample was selected to be total of (200) employees from PEYRISSAC Company on the basis of a random sample. The results of the study showed the following: the presence of a statistically significant relationship in improving the effectiveness of human resources and crisis management, the existence of a statistically significant relationship in the effectiveness of continuous improvement in crisis management, the existence of a statistically significant relationship in improving the organization of work in crisis management and improvement in effectiveness in managing Crises, the existence of a statistically significant relationship to improve effectiveness in crisis management and administrative capabilities. The study contain in set recommendations, including: Governance is an important issue for all organizations, especially in our current era that is prone to financial collapse and economic crises, the need to develop an appropriate structure and distribute administrative tasks to employees, which are the most important pillars in which the organization succeeds, in addition to the need to pay attention to good planning and the participation of workers in developing future strategies, In conclusion, the research was able to shed light on all aspects related to the topic \"The Role of Human Resources Governance in Crisis Management\". Managing human resources and the means and methods by which crises can be avoided and how to deal with them through the use of some previous studies and benefit from the results of studies and their inclusion in the current study.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48290614","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
Classification of Human Emotion Using DT-SVM Algorithm with Enhanced Feature Selection and Extraction 基于增强特征选择与提取的DT-SVM人类情感分类
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19233
Adithya Mohanavel, Dinesh Ram Danaraj, D. N
{"title":"Classification of Human Emotion Using DT-SVM Algorithm with Enhanced Feature Selection and Extraction","authors":"Adithya Mohanavel, Dinesh Ram Danaraj, D. N","doi":"10.14704/web/v19i1/web19233","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19233","url":null,"abstract":"Emotions are a basic component of human life. It generates different brain waves for emotions such as happiness, sadness, anger, calmness, tension, excitement, etc. The brain waves are electric and their electric impulse can be measured and recorded as a continuous stream of data. These emitted brain waves are recorded using an EEG device. Many existing systems are in use that feeds the recorded data into various Machine learning algorithms to classify the emotions. These systems are huge and complex, thus require a great amount of time for initializing and working. While a lot of algorithms are used and new algorithms are discovered to classify Brain EEG data, most of the time results will be improper and will not be reliable. The proposed system extracts only the data which corresponds to Human-emotions from the continuous stream of EEG data. The system makes use of robust preprocessing algorithms like ANOVA and PCA for feature extraction and selection to identify and extract features associated with Human-emotion. Later, these recording signals are modeled and fed into Dynamic Time wrapping Simple vector machine (DT-SVM) classification algorithm to analyze and predict the emotion of the person during the experiment which produces an improved accuracy of 99.2%compared to existing system.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43490356","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
Information Management Systems and its Impact on the Performance of Financial Markets (Applied Study on the Iraqi Stock Exchange) 信息管理系统及其对金融市场绩效的影响(伊拉克证券交易所应用研究)
Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19062
Dr. Ihsan Ali Mubarak Al-Jubori, Dr. Abbas Mohammed Hussein
{"title":"Information Management Systems and its Impact on the Performance of Financial Markets (Applied Study on the Iraqi Stock Exchange)","authors":"Dr. Ihsan Ali Mubarak Al-Jubori, Dr. Abbas Mohammed Hussein","doi":"10.14704/web/v19i1/web19062","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19062","url":null,"abstract":"The study aims were to determine the predicted effects of management information via its systems on the Iraqi financial market, where the synthetic method was used, The study sample included (90) people who worked in Iraq's financial market. The findings revealed that management information, as transmitted through its systems, has an actual impact on the performance of the Iraqi financial market. The study recommended the need for optimal use of technology, which helps in simplifying the procedures used in addition to accelerating them.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44138797","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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