Webology最新文献_第9页

Image Segmentation based Deep Learning for Biliary Tree Diagnosis 基于图像分割的深度学习胆道树诊断

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19123

M. AL-Oudat, Mohammad Azzeh, H. Qattous, A. Altamimi, S. Alomari

{"title":"Image Segmentation based Deep Learning for Biliary Tree Diagnosis","authors":"M. AL-Oudat, Mohammad Azzeh, H. Qattous, A. Altamimi, S. Alomari","doi":"10.14704/web/v19i1/web19123","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19123","url":null,"abstract":"Dilation of biliary tree can be an indicator of several diseases such as stones, tumors, benign strictures, and some cases cancer. This dilation can be due to many reasons such as gallstones, inflammation of the bile ducts, trauma, injury, severe liver damage. Automatic measurement of the biliary tree in magnetic resonance images (MRI) is helpful to assist hepatobiliary surgeons for minimally invasive surgery. In this paper, we proposed a model to segment biliary tree MRI images using a Fully Convolutional Neural (FCN) network. Based on the extracted area, seven features that include Entropy, standard deviation, RMS, kurtosis, skewness, Energy and maximum are computed. A database of images from King Hussein Medical Center (KHMC) is used in this work, containing 800 MRI images; 400 cases with normal biliary tree; and 400 images with dilated biliary tree labeled by surgeons. Once the features are extracted, four classifiers (Multi-Layer perceptron neural network, support vector machine, k-NN and decision tree) are applied to predict the status of patient in terms of biliary tree (normal or dilated). All classifiers show high accuracy in terms of Area Under Curve except support vector machine. The contributions of this work include introducing a fully convolutional network for biliary tree segmentation, additionally scientifically correlate the extracted features with the status of biliary tree (normal or dilated) that have not been previously investigated in the literature from MRI images for biliary tree status determinations.","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":"45909858","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

Learning Validation Control and Input Error Correction on Implementation of Computer Assisted Audit Techniques (CAATS) (Review New Trends in Sustainable Development of Learning Education Management Models for the Accounting Student) 计算机辅助审计技术（CAATS）实施过程中的学习验证控制和输入纠错（会计专业学生学习教育管理模式可持续发展的新趋势综述）

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19124

A. A. Nasution, E. -, I. Muda, A. Atmanegara

引用次数: 0

Red Monkey Optimization and Genetic Algorithm to Solving Berth Allocation Problems 红猴优化和遗传算法在泊位分配问题中的应用

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19327

Musa A. Hameed, W. M. Abed, Raghad K. Mohammed, Mohamed Yousaf

引用次数: 0

The Role of E-learning in Improving Education Quality and Reducing Education Fees during the Pandemic of the COVID- 19 COVID- 19大流行期间电子学习在提高教育质量和降低教育费用中的作用

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19202

Nabeel Farhan Hamdan

引用次数: 0

Impact of Individuals’ Engagement in Social Network-An Extensive Analysis 个人参与社交网络的影响——一个广泛的分析

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19185

Manjunath Gadiparthi, E. Reddy

{"title":"Impact of Individuals’ Engagement in Social Network-An Extensive Analysis","authors":"Manjunath Gadiparthi, E. Reddy","doi":"10.14704/web/v19i1/web19185","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19185","url":null,"abstract":"Social Network (SN) is of avail for sharing information among individuals and communities for different purposes like sharing opinions, feelings, photos, videos and many others. Since the start of the COVID-19 epidemic and the ensuing limitations, the use of Apps on smart devices has exploded. In-line with how much time is spent on SN by a person, the manifestation of physical and mental problems are found in diverse patterns. In this review a comparative account is presented linking the time spent by individuals on social network and the patterns of the resultant health problems in course of time. Most of the earlier studies categorize the users in to various groups based on the time spent on social network. Then they describe the apparent problems that are faced, under two categories, due to the extensive time spent by the users on various social network applications. Finally, the review presents a comprehensive idea of the different analytical techniques used for finding problems faced with respect to the time spent and frequency of social network use. The results on the whole present a variegated picture as regards existence of correlation between intensity of usage and incidence of health problems.","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":"47704201","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

The Effect of Transformational Leaders, Academic Culture on the Lecturer of University Performances in the Corona Virus Era 冠状病毒时代变革型领导者、学术文化对大学讲师绩效的影响

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19168

I. Kartika, Saepudin ., U. Wahyudin, J. ., Yanti Hasbian Setiawati, Abdul Karim

{"title":"The Effect of Transformational Leaders, Academic Culture on the Lecturer of University Performances in the Corona Virus Era","authors":"I. Kartika, Saepudin ., U. Wahyudin, J. ., Yanti Hasbian Setiawati, Abdul Karim","doi":"10.14704/web/v19i1/web19168","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19168","url":null,"abstract":"The research plans to find out and investigate the impact of transformational leader and academic culture on the performance of Indonesian university lecturers amid the Corona Virus (COVID-19) time. This research utilizes a quantitative exploration strategy with a survey procedure to give response to the hypotheses of test planned. The respondents consist of 150 lecturers employing cluster random sampling technique. The product-moment correlation validated the instruments for lecturers’ performance, academic lecture, and transformational leader, the Alpha Cronbach estimated the reliability, and testing the hypothesis used path analysis. The path analysis results uncovered that (1) there was an impact of transformational leader on the performance of lecturers, (2) there was a direct impact of academic culture on the performance of lecturers, and (3) there was a direct impact of transformational leader on the academic culture of lecturers. This research implies for efforts to enhance the performance of lecturers, the effectiveness of transformational leaders, and the effectiveness of academic culture.","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":"48192244","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

Assessing Reasons for Choosing Entrepreneurship: A Study with Reference to Women Entrepreneurs from Punjab, India 选择创业的原因评估：一项针对印度旁遮普邦女企业家的研究

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19035

L. Malhotra, Dr. Rakesh Kumar, Dr. Raminder Pal Singh

{"title":"Assessing Reasons for Choosing Entrepreneurship: A Study with Reference to Women Entrepreneurs from Punjab, India","authors":"L. Malhotra, Dr. Rakesh Kumar, Dr. Raminder Pal Singh","doi":"10.14704/web/v19i1/web19035","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19035","url":null,"abstract":"Background: The study provides a comprehensive review of the various reasons influencing the growth of women entrepreneurs particularly in selected districts, as the reasons are derived from the literature on women entrepreneurship. Aim: The main objective of this paper is to analyse whether women socioeconomic characteristics i.e., age, and education influence their reasons for choosing women entrepreneurship. Methods: Research Design of the present study is exploratory cum descriptive. A probability sampling method such as stratified sampling method was used at the first stage to select the districts for the study. In the second stage, probability sampling such as random sampling as well as non-probability sampling such as snow ball sampling method was used in selecting the women entrepreneurs as respondents. Setting: The study analysed survey responses of 525 respondents from selected districts of Malwa Region of Punjab, India. Furthermore, the proposed model is tested by using the data collected from Trading, Services and manufacturing enterprises. In this study the researchers have adopted, percentages, mean, standard deviation, factor analysis, kruskal Walis test and Dunn’s test as the data analysis tool. Results: The study revealed that out of four factors i.e. personality, individual social and entrepreneurial factors age plays an important role in case of social & entrepreneurial factors while education influences personal factors. Conclusion: From these results, it is understandable that the requirement for increasing women’s ambition and attitude in different age categories to embark on an entrepreneurial endeavour by nurturing entrepreneurship education.","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":"45161935","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

Effect of Intellectual Capital on Organizational Performance Moderated by Cultural 智力资本对组织绩效的影响受文化的调节

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19121

E. Ningrum, Regina Jansen Arsyah

引用次数: 0

Image Processing for Improvement of Facial Keypoints Detector 改进面部关键点检测器的图像处理

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19048

A. Kusnadi, Leondy ., Lianna Nathania, I. Z. Pane, Marlinda Vasty Overbeek, Syarief Gerald Prasetya

{"title":"Image Processing for Improvement of Facial Keypoints Detector","authors":"A. Kusnadi, Leondy ., Lianna Nathania, I. Z. Pane, Marlinda Vasty Overbeek, Syarief Gerald Prasetya","doi":"10.14704/web/v19i1/web19048","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19048","url":null,"abstract":"This paper discusses the improvement of facial detection algorithms using the DCT algorithm and image processing. Face key point is very needed in the face recognition system. Some important factors that have effects to detect its result are noise and illuminations. These two factors can be overcome by eliminating some DCT coefficients, both high and low. However, after handling the problem, most likely the image quality will become decrease, which will adversely influence the performance of the feature detector algorithm. Therefore, it is very important to test the performance of the feature detector algorithm on images that are implemented noise and illumination handling and how to improve the quality again. This research implemented Discrete Cosine Transform (DCT), by eliminating the high and low coefficient because there is noise and illumination. However, it is not known at what coefficient level is the most effective, so testing in this study was carried out. Four deblurring algorithms are tested in this research, Blind Deconvolution, Wiener Filter Deconvolution, Lucy-Richardson Deconvolution, and Regularization Deconvolution. And tested the CLAHE algorithm to overcome the effect of removing low coefficient DCT. The best coefficient value to be removed at the DCT frequency is 0.75 with the best SURF algorithm, without the use of other algorithms. Also, the highest F-score is produced by the SURF detector at removing DCT low frequency in combination with the CLAHE algorithm. With the most ideal coefficient of 0.25.","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":"43101617","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

Testing the Efficiency of Wireless Service Indicators 测试无线服务指示器的效率

Webology Pub Date : 2022-01-20 DOI: 10.14704/web/v19i1/web19150

Maryam Ghazi Ali, Sameer Saud Dakhel, Sadiq Sahep Majeed

引用次数: 0