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International Conference on software engineering and computer systems (ICSECS)

作者： Md. Arafatur Rahman Qusay Medhat Salih Mohamad Fadli Bin Zolkipli Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Pahang MY Faculty of Computer Systems and Software Engineering University Malaysia Pahang Pahang Malaysia Faculty of Computer Systems and Software Engineering University Malaysia Pahang Malaysia

Unnecessary handoff is one of the key issues in mobile wireless network, since it consumes the network's resources that degrades the performance of the network. Handoff appears when the Receive Signal Strength (RSS) of a mobile node becomes below threshold value (i.e., an acceptable level of RSS for ensuring communication). Subsequently, the mobile node starts scanning to discover a new RSS from neighbors Access Point (AP) to keep continuing the communication. However, traditional handoff algorithm is not accurate due to only depend on the RSS. It is affected by many factors (e.g., shadowing, scattering, reflection, etc.) that initiate unnecessary handoff decision. In this paper, a new technique is proposed to mitigate the unnecessary handoff. The simulation result confirms the effectiveness of the proposal.

关键词： Manganese Estimation Wireless LAN Mobile nodes Mobile computing

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Anaphora resolution of Malay text: Issues and proposed solution model

Anaphora resolution of Malay text: Issues and proposed solut...

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International Conference on Asian Language Processing

作者： Noor, Noorhuzaimi Karimah Mohd. Noah, Shahrul Azman Aziz, Mohd Juzaidin Ab. Hamzah, Mohd Pouzi Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia Computer Science Department FST Universiti Malaysia Terengganu Terengganu Malaysia

ISBN: (纸本)9780769542881

Anaphora resolution (AR) is a process to identify the appropriate antecedent with its anaphor which occur before the anaphor. AR able to improve most of the NLP applications such as question answering, short answer examination system and information extraction. Most of AR systems are deal with English language. Thus, in 1990's the research on AR has been applied for other language, such as Arabic, Chinese, Hindi and Norwegian. There are however limited or no effort in dealing with Malay text. The AR systems for one language cannot be simply adapted to use in other languages. This is due to the fact that different languages have different set of rules relating to syntax and semantic to respective language. This paper proposed a model for resolving anaphora phenomena in Malay text. The model consists of three elements consisting of anaphora resolution process, syntactic knowledge process and semantic-world knowledge process. The elements are defined based on the observable fact occurring in Malay language. © 2010 IEEE.

关键词： Semantics

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Self-Optimizing Memory Controllers: Proposing Request-level Scheduling 2

Self-Optimizing Memory Controllers: Proposing Request-level ...

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2nd International Conference on computer Science, engineering and Applications, ICCSEA 2022

作者： Shawky, Alaa Watheq El-Kharashi, M. Safar, Mona Dessouky, Mohamed Ain Shams University Faculty of Engineering Electronics and Communications Dept. Cairo Egypt Siemens Digital Industries Software Cairo Egypt Ain Shams University Faculty of Engineering Computer and Systems Engineering Dept. Cairo Egypt

ISBN: (数字)9781665458344

ISBN: (纸本)9781665458344

Self-Optimizing Memory Controllers present a great potential in the future of memory controllers. As they alleviate the burden of designing an optimal memory scheduling policy, while providing adaptability to different workloads and systems. Previous state-of-art controllers scheduled memory accesses on the command level. This causes the agent to lose sight of the relation between commands and can lead to the issuing of unuseful sequences of precharge/activate of rows or closing banks that should have been left open, and vice versa. In this work we propose a bank-aware self-optimizing memory controller that schedules memory references on the request-level, presenting to the agent the actual problem it needs to tackle. This simplifies the evaluation of system attributes and eliminates the need for correction mechanisms that was needed in previous controllers. With the proposed algorithm a maximum of 18% increase in the data bus utilization is achieved compared to the commonly used FR-FCFS algorithm. © 2022 IEEE.

关键词： Reinforcement learning

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Time-scale domain characterization of nonstationary wideband vehicle-to-vehicle propagation channel

Time-scale domain characterization of nonstationary wideband...

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2010 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2010

作者： Chude Okonkwo, Uche A.K. Hashim, Siti Zaiton Mohd Ngah, Razali Nanyan, N.F. Rahman, Tharek Abd. Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

ISBN: (纸本)9781424485666

The design and deployment of efficient vehicle-to-vehicle (V2V) communications systems require the knowledge of the propagation channel in which it will operate. Due to the mobility of the transmitter/receiver terminals as well as the existence of dynamic scatterers, the V2V channel is nonstationary. To account for the nonstationarity, channel characterization methods that employs the non wide-sense stationary uncorrelated scattering (non-WSSUS) approach are often desired. More also the inadequacy of the Doppler shift operator to properly account for frequency variation effects by the wideband channel operator implies that the time-frequency characterization methods that employ the Doppler shift operator are not appropriate for wideband V2V channels. In this paper we present the time-scale domain characterization of the non-WSSUS channel which employs time scaling operator to account for frequency variation and also emphasizes on the non-stationary property of the channel. The non-WSSUS statistical property termed local sense stationary uncorrelated scattering (LSSUS) is employed. The effect of the channel nonstationarity on the channel capacity is also addressed. From the simulated example, it is inferred that the assumption of ergodic capacity depend on the number of available independent fades which invariably depend on the degree of the V2V channel nonstationarity. © 2010 IEEE.

关键词： Doppler effect

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A graph-based methodology for tracking covid-19 in time series datasets 2

A graph-based methodology for tracking covid-19 in time seri...

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2nd IEEE International Conference on Electronics, Control, Optimization and computer Science, ICECOCS 2020

作者： El Mouden, Zakariyaa Ait Jakimi, Abdeslam Taj, Rachida Moulay Hajar, Moha Moulay Ismail University Software Engineering Information Systems Engineering Faculty of Sciences and Techniques Errachidia Meknes Morocco Moulay Ismail University Operational Research Computer Science Faculty of Sciences and Techniques Errachidia Meknes Morocco

ISBN: (纸本)9781728169217

Since its first appearance in December 2019, Covid-19 has become a wide field of scientific research. Starting from biology to bioinformatic solutions, Artificial Intelligence has contributed in turn as a powerful tool for tracking and predicting the outbreak of Covid-19 using different types of datasets. Chest X-ray images are widely used in computer vision applications and Time series datasets are used for predicting the spread of the novel coronavirus. Graph analytics is a recent field of study that links the mathematical definition and operations of a graph to its application in computer science as a complex data structure, this combination has played a critical role in making graph-based applications present in different fields. One of the most powerful graph analytics is community detection which is an intelligent and unsupervised grouping of a set of graph structured data using the similarity between them. The aim of this work is to highlight the importance of graph-based algorithms in tracking Covid-19 using time series datasets, our work will also focus on Spectral Clustering (SC) as a community detection approach to extract clusters from the input datasets. Further applications are needed in order to validate the proposed theoretical approach. © 2020 IEEE.

关键词： Time series

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Pattern-based development of user-friendly web applications 06

Pattern-based development of user-friendly web applications

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Sixth International Conference on Web engineering, ICWE 2006

作者： Wentzlaff, Ina Specker, Markus University Duisburg-Essen Faculty of Engineering Department of Computer Science Software Engineering Oststraße 99 47057 Duisburg Germany University Duisburg-Essen Faculty of Engineering Department of Computer Science Interactive Systems and Interaction Design Lotharstraße 65 47057 Duisburg Germany

ISBN: (纸本)1595934359

Using patterns to preserve common problem-solving knowledge is a very popular approach. Each computer science community applies its own techniques to document engineering principles for the handling of recurring software development questions using patterns. Thus various pattern collections were evolved for dealing with specific problems of the respective community. As a result comparable patterns or redundant pattern descriptions exist in different collections leading unintentionally to a "reinvention of the wheel" time and again. Taking the development of a chat application as an example, we present an approach for integrating patterns from different software engineering disciplines. We transform problem patterns (problem frames) into solution patterns (design patterns) by using a case-based reasoning methodology to achieve a pattern-based software development process which systematically leads from natural language requirements to semi-formal near code level descriptions. We particularly consider non-functional software properties by combining design patterns of human-computer interaction (HCI) with software engineering (SE) patterns in order to support the systematic development of user-friendly software applications.

关键词： software design

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Development of Expediency Fuel Consumption Cost Simulator

ICETC 2010 - 2010 2nd International Conference on Education ...

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ICETC 2010 - 2010 2nd International Conference on Education Technology and computer 2010年 4卷 V4553-V4556页

作者： Ahmad, Noraziah Azhar, Mohd Amer M. Sidek, Roslina Mohd Abd Wahab, Mohd Helmy Faculty of Computer Systems and Software Engineering University Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781424463688

This paper focus on the development of Expediency Fuel Consumption Cost Simulator (EFCCS). EFCCS is automated software that calculates the total amount of fuel cost for a car to travel based on the distance given, driving speed, weight capacity and current market fuel price cost. This software simulator has been developed by using Visual Basic .Net language and SQL Server database system. By deploying EFCCS, users obtain a summary and the bestsolution to estimate the minimum cost towards the desired destination. © 2010 IEEE.

关键词： Simulators

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Investigation of security awareness on e-learning system among lecturers and students in Higher Education Institution

Investigation of security awareness on e-learning system amo...

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International Conference on computer, Communications, and Control Technology (I4CT)

作者： Hasmanizam Abdul Majid Mazlina Abdul Majid Mohd Izham Ibrahim Wan Nurul Safawati Wan Manan Muhammed Ramiza Ramli Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Pahang MY Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang

The advancement of computer and Internet technologies have brought teaching and learning activities to a new dimension. Learners were virtually moved out from their classrooms to a new learning environment where learning contents and materials were delivered electronically. This new environment, which is called e-learning environment uses the web and other Internet technologies to enhance teaching and learning experience. The success and failure of any e-learning system fall on how secure the system is. Security of an e-learning system is very important so that the information contained in the system is not compromised. However no matter how secure an e-learning system is the security threats always fall on human factor. Human is identified as the weakest link in information security and lack of security awareness such as password sharing will compromise the security of e-learning system. This paper studies the awareness level in information security among e-learning users, particularly students at Higher Education Institution. The study focuses on evaluating awareness level, perception and behavior of e-learning users from International Islamic University Malaysia. Results of this study helps the university authority in preparing effective and specific awareness program in e-learning security for their students.

关键词： Electronic learning Information security computers Internet Electronic mail

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From Data to Diagnosis: Investigating Approaches in Mental Illness Detection 2

From Data to Diagnosis: Investigating Approaches in Mental I...

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2nd International Conference of Intelligent Methods, systems and Applications, IMSA 2024

作者： Montasser, Reem Kadry Mazen, Sherif A. Helal, Iman M. A. October University for Modern Sciences and Arts Faculty of Computer Science Software Engineering Department Giza Egypt Cairo University Faculty of Computers and Artificial Intelligence Information Systems Department Giza Egypt

ISBN: (纸本)9798350362633

Mental illness is a considerable global public health problem, impacting both individual well-being and society's health. The growing popularity of social media and the increase of other data sources led to more research interest in detecting mental illness with a particular focus on utilizing and fusing emotional information. Artificial intelligence techniques like natural language processing and others, have shown encouraging improvements in recognizing complex relationships in a wide range of textual data, including clinical notes, social media posts, and interviews. In this paper, we assess the different branches of artificial intelligence based on previous research in mental illness detection, discussing methods, trends, challenges, and future research directions. © 2024 IEEE.

关键词： Adversarial machine learning

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BUSCLIS for construction industry

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International Conference on Digital Enterprise and Information systems, DEIS 2011

作者： Noraziah, Ahmad Omardin, M. Affendy Mohd Zin, Noriyani Mohd. Sidek, Roslina Abd Wahab, Mohd Helmy Ram, Jiwat Faculty of Computer Systems and Software Engineering University Malaysia Pahang Malaysia Faculty Civil Engineering and Earth Resources University Malaysia Pahang Malaysia Faculty of Electric and Electronic Universiti Tun Hussein Onn Malaysia Malaysia University of Adelaide Australia

ISBN: (纸本)9783642226021

In this research, we focus on software namely Building Submission Checklist System (BuSCLIS) that has been developed to be use in construction industry. An objective of developing BuSCLI is to simplify the management of submission data of building plan approval through online system for the Local Authority (LA) or State Town and Country Planning in Malaysia. We presents the data management of the system through the data dictionary include login, user, contractor, consultant, checklist, location and project. BuSCLI facilitates user by computerized the forms and provide fast, efficient, transparent, effective service to the engineer, architect and contractor. Relevant and timely information managed by sophisticated BuSCLI with the database management system, MySQL. © 2011 Springer-Verlag.

关键词： Contractors

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