Pub Date : 2020-05-01DOI: 10.6688/JISE.202005_36(3).0008
Amir Rezapour, Wen-Guey Tzeng
{"title":"A Robust Algorithm for Predicting Attacks Using Collaborative Security Logs","authors":"Amir Rezapour, Wen-Guey Tzeng","doi":"10.6688/JISE.202005_36(3).0008","DOIUrl":"https://doi.org/10.6688/JISE.202005_36(3).0008","url":null,"abstract":"","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"10 1","pages":"597-619"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90105696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-01DOI: 10.6688/JISE.202005_36(3).0009
Che-Yi Chao, Ja-Chen Lin
Reversible data hiding is widely used because the host image can be recovered without errors after the extraction of hidden data. One of the popular schemes for reversibility involves the use of prediction-error expansion (PEE). Scholars often modify the basic PEE scheme to hide more secret bits or to improve the quality in stego images. Examples include the pairwise PEE, the difference expansion approach , and others. In our PEE-based method here, by identifying which parts of a prediction error histogram indicate inefficient hiding, we propose increasing the ratio of pixels hiding data to the pixels shifted without hiding data, called the efficiency ratio (ER). We used four tests to improve ER and hence improve the quality of stego images. The basic concept of our method is to check whether an image block or pixel is suitable for embedding data. After deleting the blocks or pixels that are likely to yield erroneous predictions, we can reduce the chance of a high PE. A high PE not only deteriorates the quality of stego images, but also contributes nothing to the embedding capacity. As shown in experiments, our image quality is better than that of many other PEEbased algorithms when similar amounts of data are hidden.
{"title":"Selection of Embedding Area: A Better Way to Use Prediction-Error Expansion Method for Reversible Hiding","authors":"Che-Yi Chao, Ja-Chen Lin","doi":"10.6688/JISE.202005_36(3).0009","DOIUrl":"https://doi.org/10.6688/JISE.202005_36(3).0009","url":null,"abstract":"Reversible data hiding is widely used because the host image can be recovered without errors after the extraction of hidden data. One of the popular schemes for reversibility involves the use of prediction-error expansion (PEE). Scholars often modify the basic PEE scheme to hide more secret bits or to improve the quality in stego images. Examples include the pairwise PEE, the difference expansion approach , and others. In our PEE-based method here, by identifying which parts of a prediction error histogram indicate inefficient hiding, we propose increasing the ratio of pixels hiding data to the pixels shifted without hiding data, called the efficiency ratio (ER). We used four tests to improve ER and hence improve the quality of stego images. The basic concept of our method is to check whether an image block or pixel is suitable for embedding data. After deleting the blocks or pixels that are likely to yield erroneous predictions, we can reduce the chance of a high PE. A high PE not only deteriorates the quality of stego images, but also contributes nothing to the embedding capacity. As shown in experiments, our image quality is better than that of many other PEEbased algorithms when similar amounts of data are hidden.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"67 1","pages":"621-641"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77762317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-01DOI: 10.6688/JISE.202005_36(3).0004
Da-Huei Lee, Pei-Yin Chen, F. Yang, Wan-Ting Weng
{"title":"High-Efficient Low-Cost VLSI Implementation for Canny Edge Detection","authors":"Da-Huei Lee, Pei-Yin Chen, F. Yang, Wan-Ting Weng","doi":"10.6688/JISE.202005_36(3).0004","DOIUrl":"https://doi.org/10.6688/JISE.202005_36(3).0004","url":null,"abstract":"","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"42 1","pages":"535-546"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82456236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Method Non-Deterministic and Computationally Viable for Detecting Outliers in Large Datasets","authors":"A. F. Oliva, F. M. Pérez, J. Berná-Martínez, M. A. Ortega","doi":"10.6688/JISE.202005_36(3).0012","DOIUrl":"https://doi.org/10.6688/JISE.202005_36(3).0012","url":null,"abstract":"This work has been supported by grant TIN2016-78103-C2-2-R, and University of Alicante projects GRE14-02 and Smart University.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"43 1","pages":"671-685"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79028450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this article is to present the perspectives of international officials regarding partnerships between the Egyptian Ministry of Education and international organizations. Data of this article were gathered mainly from semi-structured interviews with twelve international organizations’ officials in Egypt. The article suggests that international organizations working on the pre-university education face serious challenges that undermine their efforts and affects the efficiency of their contributions and initiatives in a very negative way. It concludes with a set of recommendations that can be considered by the Egyptian Government for enhancing its international partnerships in education.
{"title":"Enhancing International Partnership in the Egyptian Pre-university Education","authors":"A. Rizk","doi":"10.32674/JISE.V9I1.1510","DOIUrl":"https://doi.org/10.32674/JISE.V9I1.1510","url":null,"abstract":"The purpose of this article is to present the perspectives of international officials regarding partnerships between the Egyptian Ministry of Education and international organizations. Data of this article were gathered mainly from semi-structured interviews with twelve international organizations’ officials in Egypt. The article suggests that international organizations working on the pre-university education face serious challenges that undermine their efforts and affects the efficiency of their contributions and initiatives in a very negative way. It concludes with a set of recommendations that can be considered by the Egyptian Government for enhancing its international partnerships in education.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"9 1","pages":"71-99"},"PeriodicalIF":1.1,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43248784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Roman, Dana Rad, A. Egerău, Daniel Dixon, T. Dughi, G. Kelemen, Evelina Balaș, Gavril Rad
In this study, physical self-schema referred to the perceived body image youths have over their physical appearance. There is a pool of research that links the perceived physical self-schema to perceived severity of online aggressiveness. This research suggests that the better the physical self-schema perception is, the least youth consider the severity of online aggressiveness towards peers. The project KYSFC was developed to provide an in-depth understanding of the interactions between different psychological aspects of cyberbullying in adolescents. Using a two item online questionnaire, the study analyzed the effect of physical self-schema acceptance on perceived severity of online aggressiveness in cyberbullying. Five hundred and seven students from Belgium, Spain, Romania, and Turkey participated in the survey. When mapping effects of physical self-schema acceptance on perceived negative effect of online aggressiveness, the curvilinear interaction model (2%) is more robust that the linear interaction model (0.8%), when both models are statistically significant.
{"title":"Physical Self-Schema Acceptance and Perceived Severity of Online Aggressiveness in Cyberbullying Incidents","authors":"A. Roman, Dana Rad, A. Egerău, Daniel Dixon, T. Dughi, G. Kelemen, Evelina Balaș, Gavril Rad","doi":"10.32674/JISE.V9I1.1961","DOIUrl":"https://doi.org/10.32674/JISE.V9I1.1961","url":null,"abstract":"In this study, physical self-schema referred to the perceived body image youths have over their physical appearance. There is a pool of research that links the perceived physical self-schema to perceived severity of online aggressiveness. This research suggests that the better the physical self-schema perception is, the least youth consider the severity of online aggressiveness towards peers. The project KYSFC was developed to provide an in-depth understanding of the interactions between different psychological aspects of cyberbullying in adolescents. Using a two item online questionnaire, the study analyzed the effect of physical self-schema acceptance on perceived severity of online aggressiveness in cyberbullying. Five hundred and seven students from Belgium, Spain, Romania, and Turkey participated in the survey. When mapping effects of physical self-schema acceptance on perceived negative effect of online aggressiveness, the curvilinear interaction model (2%) is more robust that the linear interaction model (0.8%), when both models are statistically significant.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"9 1","pages":"100-116"},"PeriodicalIF":1.1,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41951984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper examines whether there is an association between participation of the international African students at the University of Arkansas in extracurricular activities (ECAs) and their grade point average (GPA). With the increase of study abroad programs, numerous Africans at college age travel to the US to pursue their degrees. A considerable number of them get involved in extra-scholastic activities, whereas others are more concentrated on their academic programs. The researcher wanted to find whether there was a difference in GPA between those African students who were more involved in extracurricular activities and their counterparts who were least involved. Although the t-test’s results were insignificant, the qualitative results of this study may be insightful for educators and advisors who deal with international students from Africa.
{"title":"Participation of International African Students at the University of Arkansas in Extracurricular Activities and Their Academic Outcomes","authors":"P. H. E. Manuel","doi":"10.32674/JISE.V9I1.1254","DOIUrl":"https://doi.org/10.32674/JISE.V9I1.1254","url":null,"abstract":"This paper examines whether there is an association between participation of the international African students at the University of Arkansas in extracurricular activities (ECAs) and their grade point average (GPA). With the increase of study abroad programs, numerous Africans at college age travel to the US to pursue their degrees. A considerable number of them get involved in extra-scholastic activities, whereas others are more concentrated on their academic programs. The researcher wanted to find whether there was a difference in GPA between those African students who were more involved in extracurricular activities and their counterparts who were least involved. Although the t-test’s results were insignificant, the qualitative results of this study may be insightful for educators and advisors who deal with international students from Africa. \u0000 ","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69975370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The second week of March 2020 presented an array of unique challenges for me both professionally and personally as I adjusted my work and home life to cope with the COVID-19 virus. I had already been ailing with what (I hoped) were seasonal allergies that left me coughing, bleary-eyed, and wondering if I might be sick with COVID-19 prior to the announcements from our university and school district that we should start self-isolating and preparing for at-home instruction. As both of my children at home are competitive gymnasts, we faced another decision about whether to keep them home from training. As my work and personal email boxes began filling with announcements from my university, my department, my children’s school, my children’s gym, and even my church and extended out-of-state family, I had to fight back a growing sense of anxiety about the outside world as I looked after my physical recovery. Staying home from work, just as a symbolic gesture, made a lot of sense to me. I’d already afflicted my colleagues with my occasional coughing from my isolated office way down the corridor, but I didn’t want to leave anything to chance. Although I presumed my odds of having COVID-19 were small after three trips to the doctor in the last month for secondary infections resulting from my allergies, who really knew? So, from my home office, I put into practice the skills I learned from doing remote instruction over the last several years. Up until the present challenge, I had tried to access my email only in the morning and afternoon. As news and instructions came in from my university and department, email communication became a near-constant distraction/source of information. Following our university’s lead, our college moved to all-remote instruction and social isolating. This meant moving to the Zoom video conferencing app. Fortunately, I was quite familiar with the app, so I didn’t have too hard a transition. However, at least a few of my colleagues had to make substantial changes to what and how they taught. Moreover, our students varied widely in how familiar and comfortable they were with the online interface. They valued our programs for their face-to-face emphasis, and now they were being asked to adjust everything about their experience within days. Moreover, most of my students are educational professionals themselves, so they were scrambling to provide direction and services to their own students. In the days following the university’s move to all-remote instruction, I participated in several instructional and organizational meetings with administrators and colleagues to ensure we were all in accord about the adjustments we would make to classes, and I spent hours on email coordinating with students and responding to their personal and professional concerns. I greatly reduced planned whole-group instruction in favor of individual consultation. I felt frustration at my students as they requested that I take my class instruction down to the
{"title":"COVID-19 in Utah Valley","authors":"Michael A. Owens","doi":"10.32674/jise.v9i1.2104","DOIUrl":"https://doi.org/10.32674/jise.v9i1.2104","url":null,"abstract":"The second week of March 2020 presented an array of unique challenges for me both professionally and personally as I adjusted my work and home life to cope with the COVID-19 virus. I had already been ailing with what (I hoped) were seasonal allergies that left me coughing, bleary-eyed, and wondering if I might be sick with COVID-19 prior to the announcements from our university and school district that we should start self-isolating and preparing for at-home instruction. As both of my children at home are competitive gymnasts, we faced another decision about whether to keep them home from training. \u0000As my work and personal email boxes began filling with announcements from my university, my department, my children’s school, my children’s gym, and even my church and extended out-of-state family, I had to fight back a growing sense of anxiety about the outside world as I looked after my physical recovery. Staying home from work, just as a symbolic gesture, made a lot of sense to me. I’d already afflicted my colleagues with my occasional coughing from my isolated office way down the corridor, but I didn’t want to leave anything to chance. Although I presumed my odds of having COVID-19 were small after three trips to the doctor in the last month for secondary infections resulting from my allergies, who really knew? So, from my home office, I put into practice the skills I learned from doing remote instruction over the last several years. \u0000Up until the present challenge, I had tried to access my email only in the morning and afternoon. As news and instructions came in from my university and department, email communication became a near-constant distraction/source of information. Following our university’s lead, our college moved to all-remote instruction and social isolating. This meant moving to the Zoom video conferencing app. Fortunately, I was quite familiar with the app, so I didn’t have too hard a transition. However, at least a few of my colleagues had to make substantial changes to what and how they taught. Moreover, our students varied widely in how familiar and comfortable they were with the online interface. They valued our programs for their face-to-face emphasis, and now they were being asked to adjust everything about their experience within days. Moreover, most of my students are educational professionals themselves, so they were scrambling to provide direction and services to their own students. In the days following the university’s move to all-remote instruction, I participated in several instructional and organizational meetings with administrators and colleagues to ensure we were all in accord about the adjustments we would make to classes, and I spent hours on email coordinating with students and responding to their personal and professional concerns. I greatly reduced planned whole-group instruction in favor of individual consultation. I felt frustration at my students as they requested that I take my class instruction down to the","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"9 1","pages":"165-167"},"PeriodicalIF":1.1,"publicationDate":"2020-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43373033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.6688/JISE.202003_36(2).0018
Mohamed Jaward Bah, Honghi Wang
Outlier detection is an essential problem that has been studied in a wide range of applications in diverse fields. One common approach to outlier detection is using statistical models, but these methods have inherent challenges and drawbacks. For instance, in providing optimal solutions that will enable the idea of detecting outliers more effectively with a high detection rate and in minimizing the computational cost. Many statistical techniques that have been proposed are classified into mainly parametric and non-parametric methods, and to the best of our knowledge, evaluating and deciphering the effects of these methods against each other remains to be an open research direction, and most of these statistical methods proposed earlier have not shown high outlier detection accuracy. In this paper, under the umbrella and generalization of statistical approach, we propose Gaussian Mixture Model for Outlier Detection (GMMOD) for the parametric approach and Kernel Density Estimation for Outlier Detection (KDEOD) algorithms for the non-parametric approach, for solving the problem of detecting outliers more effectively and in improving the outlier detection accuracy. The proposed methods are applied to real- world datasets, and our experimental results show that even though both techniques perform well, KDEOD shows favorable by a smaller margin in most cases when compared to GMMOD and both show improved performance over their similar comparative algorithms.
{"title":"A Parametric and Non-Parametric Approach for High-Accurate Outlier Detection","authors":"Mohamed Jaward Bah, Honghi Wang","doi":"10.6688/JISE.202003_36(2).0018","DOIUrl":"https://doi.org/10.6688/JISE.202003_36(2).0018","url":null,"abstract":"Outlier detection is an essential problem that has been studied in a wide range of applications in diverse fields. One common approach to outlier detection is using statistical models, but these methods have inherent challenges and drawbacks. For instance, in providing optimal solutions that will enable the idea of detecting outliers more effectively with a high detection rate and in minimizing the computational cost. Many statistical techniques that have been proposed are classified into mainly parametric and non-parametric methods, and to the best of our knowledge, evaluating and deciphering the effects of these methods against each other remains to be an open research direction, and most of these statistical methods proposed earlier have not shown high outlier detection accuracy. In this paper, under the umbrella and generalization of statistical approach, we propose Gaussian Mixture Model for Outlier Detection (GMMOD) for the parametric approach and Kernel Density Estimation for Outlier Detection (KDEOD) algorithms for the non-parametric approach, for solving the problem of detecting outliers more effectively and in improving the outlier detection accuracy. The proposed methods are applied to real- world datasets, and our experimental results show that even though both techniques perform well, KDEOD shows favorable by a smaller margin in most cases when compared to GMMOD and both show improved performance over their similar comparative algorithms.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"55 1","pages":"441-465"},"PeriodicalIF":1.1,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76658853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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