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10th IEEE International Conference on Intelligent Computing and Information systems, ICICIS 2021

作者： Samir, Ahmed M. Rady, Sherine Gharib, Tarek F. Kafrelsheikh University Faculty of Computer and Information Sciences Software Engineering Department Kafrelsheikh Egypt Ain Shams University Faculty of Computer and Information Sciences Information Systems Department Cairo Egypt

ISBN: (纸本)9781665440769

The problem of detecting top influential users in social networks is known as the influence maximization problem. Top social network influencers play a significant role in different fields like virtual marketing, politics, and public health. There are various techniques and methods implemented to identify the top influential users for maximizing the influence within social networks. There exist, however, a real challenge to effectively reach those top influential users with both high accuracy and less computational time. This paper proposes an efficient approach for the problem of influence maximization based on communities' identification. A proposed approach LCS includes three stages: firstly, the application of the Louvain community detection algorithm to detect the different communities of the social network graph. Secondly, executing the CRANK algorithm to rank and sort the generated communities-based CRANK main four metrics. Finally, the selection of the top seed nodes from the sorted communities using degree centrality. Experimental results conducted on three social network datasets, under an Independent Cascade model for verification, show the effectiveness of the proposed approach compared to the centrality-based heuristics. Additionally, comparable results are achieved against greedy algorithms with far less time complexity. © 2021 IEEE.

关键词： Economic and social effects

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Accident detection and road monitoring in real time using deep learning and lane detection algorithms 21

Accident detection and road monitoring in real time using de...

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4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021

作者： Ayman Mounir, Shehab Eldeen Hussein, Walid H. Karam, Omar Software Engineering Faculty of Informatics and Computer Science The British University in Egypt Egypt Computer Science Faculty of Informatics and Computer Science The British University in Egypt Egypt Information Systems Faculty of Informatics and Computer Science The British University in Egypt Egypt

ISBN: (纸本)9781450384247

Automating the monitoring of the roads would mean safer roads for both car drivers and pedestrians. The objectives of the system were to build a real time surveillance system for intelligent roads of the future. The system should be able to detect lane lines, cars, pedestrians and other moving vehicles on the road. In case a car goes off its course, the system should report it as an accident. Relying on machine learning technology, a real time detection based neural network was constructed to be trained on picking up objects in any given scene like cars, buses, pedestrians, bikes and motor bikes. Also, an algorithm was designed to detect lane lines and highlight them on the screen using image processing techniques and edge detection. The system achieved its main required target which is being able to detect objects in almost real time. © 2021 ACM.

关键词： Accidents

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Policy-based approach for dynamic architectural adaptation: A case study on location-based system

Policy-based approach for dynamic architectural adaptation: ...

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2011 5th Malaysian Conference in software engineering, MySEC 2011

作者： Mansor, Abdehamid Abdelhadi Kadir, Wan M. N. Wan Elias, Hidayah Department of Computer Science Faculty of Mathematical Sciences University of Khartoum Khartoum Sudan Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Johor Malaysia

ISBN: (纸本)9781457715310

Current research efforts are being directed to commit with the long-term view of self-management properties for wireless telecommunications. Technology has transformed the cell phone from being a mere phone to becoming an indispensable medium for contact, information and entertainment. The new paradigm in mobile services lies in providing a location-based user experience and here lies the tremendous scope for expansion of location-based services (LBS). One of the key approaches that have been recognized as an enabler of such a view is policy-based management, which has been mostly acknowledged as a methodology that provides adaptability and support to automatically assign network resources, control Quality of Service and security, by considering administratively specified rules. The hype of policy-based management was to commit with these features in run-time as a result of changeable network conditions resulting from the interactions of users, applications and existing resources. This paper proposes an adaptive architectural framework which deals with the critical nature of addressing the policy conflict problem. In this framework, policies are used as a mechanism to direct and adapt the behavior of self-adaptive systems. This policy-based framework consists of a set of processes, the self-coordinator process represents as the main process;which coordinates all the framework activities. Furthermore, the paper provides a guideline to avoid static and dynamic policy conflicts of different applications. © 2011 IEEE.

关键词： Location based services

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Mobile-based Intelligent Skin Diseases Diagnosis System 1

Mobile-based Intelligent Skin Diseases Diagnosis System

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1st International Conference of Intelligent Computing and engineering, ICOICE 2019

作者： Sallam, Amer Ba Alawi, Abdulfattah E. Al-Saced Faculty of Engineering IT Taiz University Computer Networks and Distributed Systems Dept Taiz Yemen Al-Saecd Faculty of Engineering IT Taiz University Software Engineering Dept Taiz Yemen

ISBN: (纸本)9781728144870

Skin diseases are the most common diseases in humans. The inherent variability in the appearance of skin diseases makes it hard even for medical experts to detect disease type from dermoscopic images. Recent advances in image processing using the Convolution Neural Networks have led to better results in diagnosing systems. We aim to develop an advanced diagnostic system in a manner that meets the requirements of real-Time and extensibility of medical services for skin disease detection. The proposed system provides offline diagnosis for the users who have not Internet connection or online diagnosing uses on-cloud service. The user captures the affected area and get the offline immediate report. The schema offers the users a communication window with dermatologists to get medical recommendations in addition to an online accurate diagnosis service. The new images that are labeled by dermatologists are used to retrain the model to enhance model accuracy. To maximize the number of users, the system is implemented in a mobile-based environment. With the growing numbers of portable apps, it becomes easy for people to obtain up-To-date data. Users are familiar with looking for answers from the virtual globe including health issues. The following experimental results demonstrate the feasibility of the proposed method. The average obtained accuracy is 83% in testing cases. © 2019 IEEE.

关键词： Diagnosis

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A UWB imaging system to detect early breast cancer in heterogeneous breast phantom

A UWB imaging system to detect early breast cancer in hetero...

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International Conference on Electrical, Control and computer engineering

作者： Alshehri, Saleh Jantan, Adznan Raja Abdullah, R.S.A. Mahmud, Rozi Khatun, Sabira Awang, Zaiki Department of Computer and Communication Systems Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia Department of Imaging Faculty of Medicine and Health Sciences Universiti Putra Malaysia Serdang Malaysia Department of Computer Systems and Networks Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia Microwave Technology Center Faculty of Electrical Engineering Universiti Teknologi Mara 40400 Shah Alam Selangor Malaysia

ISBN: (纸本)9781612842288

This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue;(ii) A particular glass as skin;and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively. © 2011 IEEE.

关键词： Mixtures

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Application of clickstream analysis as Web page importance metric in parallel crawlers

Application of clickstream analysis as Web page importance m...

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2010 International Symposium on Information Technology, ITSim'10

作者： Selamat, Ali Ahmadi-Abkenari, Fatemeh Intelligent Software Engineering Laboratory Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

ISBN: (纸本)9781424467181

Employing a parallel crawler as a multi processes crawler causes different issues of concern in comparison to applying a single-process crawler. These issues impact on achieving the results with higher or even the same quality from a parallel crawler in comparison to a centralized one. Existed parallel crawlers' architectures employ link dependant metrics -such as Backlink count or PageRank - for URL importance determination in order to prioritize the queue of each process. Then the specific number of the most important pages is sent to the index section of the crawler for further processing on their content. Application of metrics with link dependent nature causes considerable overhead on the overall parallel crawler resulted from the link information exchange among different processes. In this paper we propose the application of clickstream analysis as a link independent Web page importance metric in a parallel crawler. Our approach includes proposing an algorithm for a balanced performance of different processes within a parallel crawler which results in the discovery of higher quality pages by the overall parallel crawler with less overhead in comparison to a centralized crawler which employs link dependant metrics of importance. © 2010 IEEE.

关键词： Web crawler

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Introduction to the special section on advances in test automation: The evolution of TTCN-3

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International Journal on software Tools for Technology Transfer 2008年第4期10卷 281-283页

作者： Schieferdecker, Ina Grabowski, Jens Design and Testing of Communication-Based Systems Faculty IV - Electrical Engineering and Computer Science Technical University Berlin Franklinstr. 28-29 Berlin 10587 Germany Software Engineering for Distributed Systems Group Institute of Computer Science University of Göttingen Lotzestrasse 16-18 Göttingen 37083 Germany

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A clickstream-based web page significance ranking metric for web crawlers

A clickstream-based web page significance ranking metric for...

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2011 5th Malaysian Conference in software engineering, MySEC 2011

作者： Ahmadi-Abkenari, F. Selamat, Ali Intelligent Software Engineering Laboratory Faculty of Computer Science and Information Systems University of Technology of Malaysia 81310 UTM Skudai Johor Malaysia

ISBN: (纸本)9781457715310

The unpredictable fast growing dimension of the World Wide Web and its non-static nature causes considerable obstacles for Web crawlers including the presence of some incorrect and irrelevant answers among search results set and the scaling issues. Hence, solutions that are more promising are in demand to provide more accurate search outcomes. Because implementing existed Web page importance metrics either link based or context based within a parallel crawler can not be an absolute solution for the coverage of authorized fresh Web content and the accuracy concerns, so employing these metrics is not the final approach within search engines' architecture. This paper proposes an analysis on clickstream data in order to discover the popularity of Web pages in crawl frontier through proposing the metric itself and presenting the experimental results on ranking the UTM Web pages based on the proposed discussed metric. © 2011 IEEE.

关键词： Web crawler

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Enhancement algorithms for SQL-based chatbot

Enhancement algorithms for SQL-based chatbot

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2nd International Conference on software engineering and computer systems, ICSECS 2011

作者： Saliimi Lokman, Abbas Mohamad Zain, Jasni Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang Darul Makmur Malaysia

ISBN: (纸本)9783642221903

Artificial intelligence chatbot is a technology that makes interaction between men and machines using natural language possible. From literature of chatbot's keywords/pattern matching techniques, some potential issues for enhancement had been discovered. The discovered issues are in the context of relation between previous and next responses/outputs and also keywords arrangement for matching precedence together with keywords variety for matching flexibility. To encounter these issues, two respective algorithms had been proposed. Those algorithms are Extension and Prerequisite and OMAMC (One-match and All-match Categories). Implemented in SQL-Based chatbot, both algorithms are shown to be enhancing the capability of chatbot's keywords/pattern matching process by providing an augment ways in storing the data and performing the process. This paper will present the significance of results from implementing both proposed algorithms into SQL-Based chatbot that will result on some enhancements in certain area of chatbot's processes. © 2011 Springer-Verlag.

关键词： Artificial intelligence

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The personification of the user’s interface: classification vs. Clusterization of users of online courses 12

The personification of the user’s interface: classification...

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12th International Scientific and Practical Conference on Environment. Technology. Resources

作者： Matrosova, Nataliia D. Shtennikov, Dmitry G. Faculty of Software Engineering and Computer Systems Saint-Petersburg National Research University of Information Technologies Mechanics and Optics Saint-Petersburg Russia

Researchers compared the classification and the clusterization of users of online course for the personification of the users’ information system interface. When interacting with control and information systems, users may manifest individual features, including implicit characteristics that may affect one’s results within the system. At the same time due to information system building peculiarities one of the most comprehensive statistics can be collected via e-learning systems. When using a course, the user leaves a wide trail of activity that may contain different information depending on the learning environment structure. Online blended learning courses draw the researcher’s attention to the impact of digital teaching models on students as well as its ability to adjust distant learning courses to individual students’ needs and differences. Information personalization is a highly relevant content presentation at the most individual level. Therefore, the task of personalization is to show users information that meets their needs and interests. Personalization gives the opportunity to focus on points that have real value for users. © 2019 Nataliia D. Matrosova, Dmitry G. Shtennikov.

关键词： Machine learning

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