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12th Seminar on Science and Technology 2018

作者： Yusof, Yuhani Binti Mohamad, Mohd Shambin Adzhar, Noraziah Hanafi, Nurfatihah Mohamad Elizabeth, Marta Abu Bakar, Muhamad Faiz Ibrahim, Mohd Adhha AIMs Research Cluster Faculty of Industrial Sciences and Technology Malaysia Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Pahang Gambang Kuantan 26300 Malaysia Pahang Kuantan Malaysia

Medicinal cupping is a traditional therapy which used by applying a cup on acu-points or cupping points and the pressure inside the cup is reduced so that the skin and superficial muscle layer is drawn into and held in the cup. Since all diseases and pains have their specific area to be cupped, most cupping practitioners usually recognize the cupping points based upon the disease and the patient's complaints. Hence, they will randomly choose the points upon request due to the money constraint. However, there is no mathematical approach on guaranteeing the handy method is optimized. Thus, in this paper, a graph model is proposed on finding the optimal number of cupping points for asthma disease via graph colouring approach. This mathematical model will further benefit to the biomathematics and medical fields, especially to the industrial cupping practitioners. © Published under licence by IOP Publishing Ltd.

关键词： Diseases

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A study on personality identification using game based theory

A study on personality identification using game based theor...

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International Conference on computer Technology and Development (ICCTD)

作者： C.Y. Yaakub N. Sulaiman C.W. Kim Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Malaysia

Game Based Personality Profiling Application had been develop as an application to solve the problems faced by a counselor in capturing and determine personality. There are many types of personality model and theory such as Jung's Sixteen personality, Myers Briggs Types Indicators (MBTI), 5 Big factors, and Kathrine Benziger's Personality. This application uses MBTI based concept as a guideline to capture sixteen types of personality. The game genre is puzzle game, and it was developed using Netbeans tools and object-oriented technique. The client or the player will be tested by four mini games in this application so that the game Artifact Intelligent (AI) will capture the personality of the player. The system was tested using 50 samples which were chosen randomly and 77.5% of the results are based on engineering student. The result obtain was compared with the personality psychometric test paper based.

关键词： Games Book reviews Humans

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Cluster Availability Model with Information Update Following Node Recovery

Cluster Availability Model with Information Update Following...

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2023 Wave Electronics and its Application in Information and Telecommunication systems, WECONF 2023

作者： Bogatyrev, V.A. Bogatyrev, S.V. Sivov, V.V. Saint-Petersburg State University of Aerospace Instrumentation Department Information Systems Security Saint Petersburg Russia ITMO University Faculty of Software Engineering and Computer Technology Saint-Petersburg Russia

ISBN: (纸本)9798350348293

A model for evaluating the availability of a fault-tolerant cluster with a constraint on the maximum query service time is proposed. Node recovery in the cluster involves replacing the entire computational node with the latest backup results before the failure. Information update after the backup is achieved through the replication of this information from the working nodes of the cluster. The purpose of the article is to assess the reliability of the cluster and its readiness to timely service requests critical to the waiting time. Restoring up-to-date data in a cluster node after previously entering the data saved during backup into it requires the use of resources of the node in which the data is being restored and the node containing up-to-date data. The specified pair of nodes is excluded from the request servicing process, which reduces the likelihood of timely maintenance. Information recovery in case of failures of all nodes containing replicas of up-to-date data requires more time compared to replication from the memory of a functioning node. © 2023 IEEE.

关键词： Fault tolerance

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Heart beat monitoring using optical interferometric signal and pseudo wigner-ville distribution

Heart beat monitoring using optical interferometric signal a...

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7th International Conference on Information Technology and Application, ICITA 2011

作者： Šprager, Sebastijan Donlagić, Denis Zazula, Damjan University of Maribor Faculty of Electrical Engineering and Computer Science System Software Laboratory Smetanova ulica 17 SI-2000 Maribor Slovenia University of Maribor Faculty of Electrical Engineering and Computer Science Laboratory for Electro-Optics and Sensor Systems Smetanova ulica 17 SI-2000 Maribor Slovenia

ISBN: (纸本)9780980326741

The paper presents a method for monitoring heartbeats based on time-frequency analysis of optic interferometric signal by using smoothed pseudo Wigner-Ville distribution. Optical interferometer is a sensitive device that detects physical changes of the length of optical fibre. When put in mattress, heartbeats of a subject lying on the fibre causes its perturbation. This allows entirely unobtrusive and continuous monitoring of subject's heart rate by processing interferometric signal. Reference ECG signals were acquired in order to verify recognition rate and accuracy of proposed method. An experiment with 6 subjects was performed. Interferometric and referential signals were acquired simultaneously for about 60 s. The obtained results show high recognition rate (about 97% with persons breathing and 98% with persons holding their breath).

关键词： Optical fibers

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Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model 2nd

Managing MyGRANTS Fragmented Database Using Binary Vote Assi...

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2nd International Conference on Advanced Data and Information engineering, DaEng 2015

作者： Noraziah, Ahmad Fauzi, Ainul Azila Che Mohd, Wan Maseri Wan Herawan, Tutut Abdullah, Zailani Faculty of Computer Systems & Software Engineering University of Malaysia Pahang Gambang KuantanPahang26300 Malaysia Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Informatics & Applied Mathematics Universiti Malaysia Terengganu Terengganu Malaysia

ISBN: (纸本)9789811317972

Replication is one of the mechanisms managing data since it improves data access and reliability. However, in recent years, with widely available, low-cost technology, the amount of various data grows rapidly. The problem is although we are packed with data, but we have lacked of knowledge. Nevertheless, if the impractical data is used in database replication, this will cause waste of data storage and the time taken for a replication process will be delayed. This paper propose a new algorithm namely Binary Vote Assignment on Grid Quorum with Association Rule (BVAGQ-AR) in order to handle fragmented database replication. BVAGQ-AR algorithm is capable of partitioning the database into disjoint fragments. Fragmentation in distributed database is very useful in terms of usage, reliability and efficiency. Handling fragmented database replication becomes challenging issue to administrator since the distributed database is scattered into split replica partitions or fragments. We address how to build reliable system by using the proposed BVAGQ-AR algorithm for distributed database fragmentation by using Malaysian Greater Research Network (MyGRANTS) data as a case study. The result shows that managing fragmented database replication through proposed BVAGQ-AR algorithm able to preserve MyGRANTS data consistency. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Association rules

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An active uplink photonic antenna

An active uplink photonic antenna

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

作者： Nanyan, N.F. Mohd Hashim, Siti Zaiton Ngah, R. Rahayu, Y. Prakoso, T. Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor 81310 Malaysia Departement of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Malaysia Lebuh Raya Tun Razak Kuantan 26300 Malaysia

ISBN: (纸本)9781424485666

This paper presents a wideband photonic antenna consisting the laser diode, matching circuit, RF amplifier and microstrip patch antenna are fabricated and connected together to perform in uplink system. Laser driver is used to supply the dc biasing for the laser. Lastly, the LD-matching circuit, RF amplifier and antenna were arrange together and connected to perform the wireless uplink system. The simulated and measured results are presented and discussed. These results show useful photonic antenna design that achieves relatively wide bandwidth and has potential to be applied in RoF technology. © 2010 IEEE.

关键词： Microstrip antennas

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An Improved Parameter less Data Clustering Technique based on Maximum Distance of Data and Lioyd k-means Algorithm

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Procedia Technology 2012年 1卷 367-371页

作者： Wan Maseri Binti Wan Mohd A.H. Beg Tutut Herawan K.F. Rabbi Faculty of Computer Systems and Software Engineering University Malaysia Pahang Gabnang-26300 Pahang Malaysia

K-means algorithm is very well-known in large data sets of clustering. This algorithm is popular and more widely used for its easy implementation and fast working. However, it is well known that in the k-means algorithm, the user should specify the number of clusters in advance. In order to improve the performance of the K-means algorithm, various methods have been proposed. In this paper, has been presented an improved parameter less data clustering technique based on maximum distance of data and Lioyd k-means algorithm. The experimental results show that the use of new approach to defining the centroids, the number of iterations has been reduced where the improvement was 60%.

关键词： K-Means Algorithm Clustering Partitioning Clustering Algorithm Data Mining

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Blockchain-Based Decentralized Breast Cancer Patient Monitoring System for Remote Healthcare Security 5

Blockchain-Based Decentralized Breast Cancer Patient Monitor...

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5th International Conference on Advancements in Computing, ICAC 2023

作者： Dilshan, K.N. Rathnayake, H.A.C.K. Pathirana, L.P.T.L. Dhanapala, D.H.S.V. Fernando, Harinda Abeygunawardhana, Pradeep K.W Sri Lanka Institute of Information Technology Faculty of Computer Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350358131

Breast cancer is a disease that is prevalent all over the world, and that is essential for the efficient treatment and care of breast cancer patients who are monitored remotely. However, traditional conventional centralized systems for patient monitoring face challenges in providing effective and efficient care for breast cancer patients, including limited access to medical records, ineffective communication, and patient participation. Fragmentation of records and difficulty in obtaining information can hinder patient care in terms of both privacy and data security. The proposed system uses machine learning, blockchain, smart contracts, hybrid access control, and hybrid intrusion prevention and detection to diagnose breast cancer decentralized. The technology analyses medical data using advanced machine learning algorithms to diagnose breast cancer accurately and provide healthcare practitioners with relevant insights. The blockchain stores patient information, diagnostic results, and metadata transparently and securely to protect data integrity and privacy. Smart contracts automate and enforce rules, securing data and improving diagnostic workflow. User roles and attributes are used to manage access to sensitive data and improve collaboration. Patients, doctors, and researchers have different permits and limits. Secures granular data and prevents unauthorized access. Scalability and network congestion are addressed via a hybrid network management system. The system optimizes resource allocation, load balancing, and data transfer by integrating centralized and decentralized methodologies. These features reduce delays and assure seamless operation. Experimental results reveal that the suggested system detects breast cancer more accurately than centralized methods. Blockchain, smart contracts, and access control ensure data integrity, privacy, and over-security. Scalability and reactivity are improved by the hybrid network management system, making breast cancer detec

关键词： Blockchain

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Optimizing Clustering Approaches in Cloud Environments

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2023年第19期17卷 70-94页

作者： Al-Ghuwairi, Abdel-Rahman Al-Fraihat, Dimah Sharrab, Yousef Kreishan, Yazeed Alsarhan, Ayoub Idhaim, Hasan Qahmash, Ayman Department of Software Engineering Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Zarqa Jordan Department of Software Engineering Faculty of Information Technology Isra University Amman Jordan Department of Data Science and Artificial Intelligence Faculty of Information Technology Isra University Amman Jordan Department of Information Technology Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Zarqa Jordan Department of Information Systems Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Zarqa Jordan Department of Information Systems Computer Science College King Khalid University Abha Saudi Arabia

This study focuses on the challenge of developing abstract models to differentiate various cloud resources. It explores the advancements in cloud products that offer specialized services to meet specific external needs. The study proposes a new approach to request processing in clusters, improving downtime, load distribution, and overall performance. A comparison of three clustering approaches is conducted: local single cluster, local multiple clusters, and multiple cloud clusters. Performance, scalability, fault tolerance, resource allocation, availability, and cost-effectiveness are evaluated through experiments with 50 requests. All three approaches achieve a 100% success rate, but processing times vary. The local single cluster has the longest duration, while the local multiple clusters and multiple cloud clusters perform better and offer faster processing, scalability, fault tolerance, and availability. From a cost perspective, the local single cluster and local multiple clusters incur capital and operational expenses, while the multiple cloud clusters follow a pay-as-you-go model. Overall, the local multiple clusters and multiple cloud clusters outperform the local single cluster in terms of performance, scalability, fault tolerance, resource allocation, availability, and cost-effectiveness. These findings provide valuable insights for selecting appropriate clustering strategies in cloud environments. © 2023 by the authors of this article. Published under CC-BY.

关键词： Fault tolerance

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Data Migration from Relational to NoSQL Database: Review and Comparative Study

Data Migration from Relational to NoSQL Database: Review a...

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International Conference on Advanced Intelligent systems for Sustainable Development, AI2SD 2022

作者： Saadouni, Chaimae El Bouchti, Karim Reda, Oussama Mohamed Ziti, Soumia Department of Computer Science Intelligent Processing Systems and Security Team Mohammed V University Rabat Morocco Algorithms Networks Intelligent Systems and Software Engineering Research Team Faculty of Sciences Mohammed V University Rabat Morocco

ISBN: (纸本)9783031263835

New storage requirements, analysis, and visualization of Big Data, which includes structured, semi-structured, and unstructured data, have caused the developers in the past decade to begin preferring Big Data databases, such as NoSQL, that comes to overcome the boundaries of relational Databases such as unlimited scalability, high performance, data modeling, data distribution, and continuous availability. Due to those benefits ensured by this new technology, quite recently, considerable attention has been paid to data migration from relational Database to NoSQL Database. So, in this context, the purpose of this paper is to provide a comparative study of some recent approaches proposed by various researchers to migrate data from relational to NoSQL databases, as well as discussing and analyzing the results of those proposed techniques. This research allowed us to gain a basic understanding of the contributions and approaches that have already been made, as well as the benefits and limits of each proposal. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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