Proceedings of the 2020 6th International Conference on Computer and Technology Applications最新文献

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A Malicious Code Variants Detection Method Based on Self-attention 基于自关注的恶意代码变体检测方法
W. Li, Run Zhang, Qiaokun Wen
{"title":"A Malicious Code Variants Detection Method Based on Self-attention","authors":"W. Li, Run Zhang, Qiaokun Wen","doi":"10.1145/3397125.3397145","DOIUrl":"https://doi.org/10.1145/3397125.3397145","url":null,"abstract":"Due to the emergence of variants and polymorphic technologies, the number of malicious codes that attack smart devices is growing rapidly. However, few of these viruses are new types of malicious code, and the remaining large numbers are variants of existing malicious code. Therefore, the detection of malicious code variants is necessary. The detection accuracy and efficiency of existing malicious code variant detection methods cannot perform satisfactory results. Therefore, this paper proposed a new detection method based on deep learning for detecting malicious code variants. First, we converted the malicious code into a visual grayscale image and then built a convolutional neural network including self-attention mechanism, which was set before the the convolutional neural network. The generated malicious code images will be input to the convolutional neural network for automatic identification and classification. In order to test our method, we conducted a series of experiments based on the Malimg dataset, and the results showed that our model has higher accuracy and faster speed than other methods.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532145","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
Process of Building of the Pivot Meta-model 轴心元模型的构建过程
Hind Dahar, O. Roudiès, Siham Younoussi
{"title":"Process of Building of the Pivot Meta-model","authors":"Hind Dahar, O. Roudiès, Siham Younoussi","doi":"10.1145/3397125.3397144","DOIUrl":"https://doi.org/10.1145/3397125.3397144","url":null,"abstract":"Within a competitive environment marked by strong technological evolution, organizations have to be compliant at the same time with several repositories, norms or standards relating to quality of their processes continuous improvement. Diversity of standards can lead to different issues such as heterogeneity, redundancy and also increasing costs for their implementation in terms of time, resource mobilization and budget. To solve these problems, the idea is to establish an alignment approach that guarantees the high level of quality wished by using several standards simultaneously. In this paper, we propose a Model Driven Engineering approach of building a common meta-model of quality standards.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127991679","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
Hotel Reviews Analysis based on Sentiment Classification: Oman Case Study 基于情感分类的酒店评论分析:阿曼案例研究
A. Said, Amal Sultan AI Muqrashi
{"title":"Hotel Reviews Analysis based on Sentiment Classification: Oman Case Study","authors":"A. Said, Amal Sultan AI Muqrashi","doi":"10.1145/3397125.3397147","DOIUrl":"https://doi.org/10.1145/3397125.3397147","url":null,"abstract":"Advances in technology and in particular web applications that are related to customer relations management have encouraged users to voice their opinions with the rest of the world. Relevant information needs to be sorted within the large amount data that can employed by the organization to ensure optimal corrective actions. Sentimental Analysis is one such technique that is popular due to its ability to distil relevant information from opinionated text. Managing customer satisfaction and expectations are vital components that add credibility and ensures survival of the organization. It is commonly agreed that these are the strategic components enhance customer allegiance and covet retention. Hotels in particular are wary of the fact that opinions do matter for their reputation and credibility. Hence, they strive to seek feedback from their guests. In this paper, the authors aim to develop a model to classify hotel visitors feedback based on their experience. Four different supervised learning approaches were employed and tested on the collected data set. The result indicates Support Vector Machine (SVM) classifier outperformed the rest of the classifiers in term of effectiveness.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133010138","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
Model Driven Approach for Automatic Script Generation in Stress Testing of Web Applications Web应用压力测试中自动生成脚本的模型驱动方法
Fatima Waheed, F. Azam, Muhammad Waseem Anwar, Yawar Rasheed
{"title":"Model Driven Approach for Automatic Script Generation in Stress Testing of Web Applications","authors":"Fatima Waheed, F. Azam, Muhammad Waseem Anwar, Yawar Rasheed","doi":"10.1145/3397125.3397137","DOIUrl":"https://doi.org/10.1145/3397125.3397137","url":null,"abstract":"Mostly, software systems operate satisfactory under normal operating condition. However, if abnormal conditions are encountered i.e in the event of extraordinary load conditions, the response of the software systems may also become abnormal. Due to this reason, Stress Testing is considered an important part of testing that is used to determine the behaviour of software in extraordinary load conditions. Most of the research work that has been done in the domain of stress testing focuses on development of systems using traditional approaches of programming/coding. In this manuscript, we have anticipated an innovative approach for automatic script generation in stress testing of web applications. The proposed approach includes a meta model that may be extended for automation and model based development of such a system/ tool that may generate test scripts for stress testing of web applications using concepts of IFML.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104748","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
Item Based Collaborative Filtering Approach in Movie Recommendation System Using Different Similarity Measures 基于项目的不同相似度电影推荐系统协同过滤方法
Jamilu Maaruf Musa, X. Zhihong
{"title":"Item Based Collaborative Filtering Approach in Movie Recommendation System Using Different Similarity Measures","authors":"Jamilu Maaruf Musa, X. Zhihong","doi":"10.1145/3397125.3397148","DOIUrl":"https://doi.org/10.1145/3397125.3397148","url":null,"abstract":"Recommender systems use the concept of data analysis and knowledge discovery to essentially provide personalized recommendations on the web. A number of different algorithms has been proposed to effectively capture users interest and provide accurate recommendations. One of such promising technique is collaborative filtering. The predominantly used technique to date in recommendation system is collaborative filtering because of its effectiveness. User-based collaborative filtering approach is popularly and extensively used in practice but yet faces some key challenges in providing enough scalable and quality recommendations due to the daily increase of items and visitors in different websites. In this project we used collaborative item based technique to provide recommendations of items in real time by first analyzing the user-item rating matrix to determine the similarities between items in two different methods of computing items similarity (i.e. item-item correlation and item-item adjusted cosine similarity) and then use this similarity to predict unknown ratings of items, from which the top most rated items are chosen and be recommended to the intended user.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120949045","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: 9
An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan 社交媒体对大学生学业表现影响的智能研究——以约旦大学为例
Yazn Alshamaila, Maria Habib, Ibrahim Aljarah, Hamad I. Alsawalqah, Hossam Faris, A. Alsoud
{"title":"An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan","authors":"Yazn Alshamaila, Maria Habib, Ibrahim Aljarah, Hamad I. Alsawalqah, Hossam Faris, A. Alsoud","doi":"10.1145/3397125.3397146","DOIUrl":"https://doi.org/10.1145/3397125.3397146","url":null,"abstract":"Promoting the learning environment within Jordanian universities and maximizing the students' academic gain are essential national-level problems. Since learning and teaching systems are main building bricks to grow individuals who are responsible for developing and flourishing culture and civilization for Jordanian society. Educational data mining focuses on developing new smart algorithms devoted to analyzing the resulted data from educational systems; in order to better understand students and the learning environments. In this paper, we are analyzing major factors affecting university students' performance and the effect of social media usage on them. Furthermore, predicting the students' performance by adopting different rule-based data mining algorithms like rule learner based on Repeated Incremental Pruning to Produce Error Reduction (JRIP) and a type of decision tree called (PART). We have conducted a research survey within the University of Jordan students that is covering all faculties and cover a vast range of different students. Using both JRIP and PART we have concluded fundamental remarks; mainly, we have noticed that using YouTube as a learning resource has positive impacts on students' performance especially within scientific faculties. Moreover, we have interpreted the impact of other factors, such as having an Internet connection, having several social media applications and others. Certainly, upon our findings, we recommend the importance of integrating YouTube as a learning resource within universities learning environments.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116510405","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
Employing Method for a Method: Design and Evaluation of the Proposed PDEduGame Process Method using Design Science Research Method 一种方法的使用方法:用设计科学研究方法设计和评价PDEduGame过程方法
Rozana Ismail, Roslina Ibrahim, Suraya Ya’acob, Rokiah Bahari, Syed Ardi Syed Yahya Kamal, Husna Hafiza R. Azami, Siti Zamilah Abd. Hamid
{"title":"Employing Method for a Method: Design and Evaluation of the Proposed PDEduGame Process Method using Design Science Research Method","authors":"Rozana Ismail, Roslina Ibrahim, Suraya Ya’acob, Rokiah Bahari, Syed Ardi Syed Yahya Kamal, Husna Hafiza R. Azami, Siti Zamilah Abd. Hamid","doi":"10.1145/3397125.3397150","DOIUrl":"https://doi.org/10.1145/3397125.3397150","url":null,"abstract":"Identifying the process of participatory design (PD) approach to cater for students' mutual needs in recognizing their educational game design aspirations for schools and higher education and applying their game knowledge to the educational game prototype setting, is very challenging. Previously, we suggested an effective method for students to develop their educational games based on a particular course. The PD process method is needed to identify the contributions of the design artifact. Since PD is widely used in the design of the game prototype and is also placed in the Information System (IS) field, the typical design science research (DSR) approach is likely the most suitable. This paper discusses the details of how DSR is utilized for the intended purpose. This paper is divided into four parts, i.e., 1) the application of DSR in the IS fields; 2) DSR and the proposed PD process method; 3) the application of the DSR methodology to PD research; and 4) the conclusion, implications, and future research. The findings of the study may contribute to an enhanced understanding of the evaluation of DSR artifacts such as the mentioned PD process and the contribution of a new extended PD process in the game design process, particularly in a developed country such as Malaysia.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125148219","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
Automatic Fruits Calories Estimation through Convolutional Neural Networks 基于卷积神经网络的水果热量自动估计
Ghazanfar Latif, Batool Alsalem, Wejdan Mubarky, Nazeeruddin Mohammad, J. Alghazo
{"title":"Automatic Fruits Calories Estimation through Convolutional Neural Networks","authors":"Ghazanfar Latif, Batool Alsalem, Wejdan Mubarky, Nazeeruddin Mohammad, J. Alghazo","doi":"10.1145/3397125.3397154","DOIUrl":"https://doi.org/10.1145/3397125.3397154","url":null,"abstract":"With the increased interest in healthy eating and diet control, the importance of keeping track of daily calorie intake is an important topic nowadays. In this paper, we propose a novel technique to automatically calculate calories based on the picture of various foods on a plate. As a first step, this paper concentrate on food plates with fruit and vegetable content only. A new dataset was developed internally for this research consisting of a total of 41,509 images. In this paper, we propose a Deep Convolutional Neural Network (DCNN) for the automatic recognition process. A custom design application was developed for capturing the image, recognition, and automatic calculation of calories. The results showed that over 92% recognition rates were achieved on most fruits and vegetables.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127081614","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: 10
Framework for Analysis of Thematic Interest in Scientific Networks using Fuzzy Time Series 基于模糊时间序列的科学网络主题兴趣分析框架
T. Afanasieva, V. Tronin, N. A. Afanaséva
{"title":"Framework for Analysis of Thematic Interest in Scientific Networks using Fuzzy Time Series","authors":"T. Afanasieva, V. Tronin, N. A. Afanaséva","doi":"10.1145/3397125.3397143","DOIUrl":"https://doi.org/10.1145/3397125.3397143","url":null,"abstract":"The active growth of the scientific social networks is determined by increase of researchers and directions of investigations. This activity generates big data and analysis of such data could give not obvious knowledge about researchers, their thematic interest and direction of scientific development. One of the ways to know the scientific development is forecasting of the thematic interest using data from scientific social networks and cites. The goal of the paper is to propose the framework and techniques of mining this information on the basis of the publication activity prediction and linguistic representation of knowledge in the space and in the temporal areas. The fuzzy time series models, linguistic variables and transformations are combined in the proposed framework to achieve the goal. The proposed framework is applied in case study to determine the trends in scientific interest in selected topics.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127933538","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
Relationship Types in Visual Analytics 可视化分析中的关系类型
Nur Izzati Shabdin, Suraya Ya’acob, N. N. A. Sjarif
{"title":"Relationship Types in Visual Analytics","authors":"Nur Izzati Shabdin, Suraya Ya’acob, N. N. A. Sjarif","doi":"10.1145/3397125.3397127","DOIUrl":"https://doi.org/10.1145/3397125.3397127","url":null,"abstract":"Visual analytics are practically an application of the task of transforming the data into meaningful and reliable information in order to synthesize the knowledge about the data. Recently, organizations collect large data with aim of extracting useful information for organizational usage for better decision making. When the organization have a large and complex information, it leads to more complex relationship between the variables in the data. As a consequence, the visual analytics representation must be able to show, visualize and handle for more complex relationship of data. However, the research found the lack of relationship research in current visual analytics that lead difficulties to guide and design new relationship representation. Thus, this research aim to recognize, discover and categorize relationships types of visual analytics in representing a set of analytical data. Design Science Research Methodology has been used as research method for this study. It consists of two activities which are i). identify the visual analytic relationship context and its challenge and ii). analysis of relationship in visual analytics representation. At the end, this study is expected to identify and categorize the visual analytics representation according to six relationship types. This identification can help the visual analytics community to understand the primary and basic concept of relationship representation as a guidelines and knowledge for more comprehensive research in the future.","PeriodicalId":303304,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computer and Technology Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126267032","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
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