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IEEE India Conference (INDICON)

作者： Sugandh Kumar Mainuddin Amir Ahmad Mirza Tariq Beg ECE Department Jamia Millia Islamia University New Delhi Faculty of Computing and Information Technology King Abdulaziz University Rabigh Saudi Arabia Jamia Millia Islamia New Delhi Delhi IN

The screening effect plays an important role when CNTs are placed in clustered and also have large effects in the calculation of field enhancement factor of clustered CNTs. Isolated CNT will have a greater field enhancement factor than the field enhancement factor cluster of CNTs because of screening effect. The screening effect is a function of distance between CNTs and length of CNTs. By using the expression for the field enhancement factor (β) of CNTs in cluster (under any position), we have proposed a structure for cluster of CNTs in lieu to get the uniform field enhancement factor of all the CNTs present in that cluster.

关键词： Nanoscale devices Computational modeling Publishing Films

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Using Speech Recognition in Learning Primary School Mathematics via Explain, Instruct and Facilitate Techniques

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Journal of Software Engineering and Applications 2014年第4期7卷 233-255页

作者： Ab Rahman Ahmad Sami M. Halawani Samir K. Boucetta Faculty of Computing and Information Technology-Rabigh King Abdulaziz University Rabigh KSA

The application of information and Communication Technologies has transformed traditional Teaching and Learning in the past decade to computerized-based era. This evolution has resulted from the emergence of the digital system and has greatly impacted on the global education and socio-cultural development. Multimedia has been absorbed into the education sector for producing a new learning concept and a combination of educational and entertainment approach. This research is concerned with the application of Window Speech Recognition and Microsoft Visual Basic 2008 Integrated/Interactive Development Environment in Multimedia-Assisted Courseware prototype development for Primary School Mathematics contents, namely, single digits and the addition. The Teaching and Learning techniques—Explain, Instruct and Facilitate are proposed and these could be viewed as instructors’ centered strategy, instructors’—learners’ dual communication and learners' active participation. The prototype is called M-EIF and deployed only users' voices;hence the activation of Window Speech Recognition is required prior to a test run.

关键词： Explain Instruct and Facilitate Techniques Multimedia-Assisted Courseware Primary School Mathematics Visual Natural Language Window Speech Recognition

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Perturbation methods and formal modeling for dynamic systems

Abstract and Applied Analysis

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Abstract and Applied Analysis 2015年第1期2015卷

作者： Islam, Saeed Khan, Sher Afzal Zaman, Gul Jung, Il Hyo Department of Mathematics Abdul Wali Khan University Mardan Pakistan Faculty of Computing and Information Technology in Rabigh King Abdulaziz University Jeddah Saudi Arabia Department of Mathematics University of Malakand Lower Dir Pakistan Department of Mathematics Pusan National University Busan 609-735 South Korea

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In silico analysis of detrimental mutation in EPHB2 gene causing Alzheimer’s disease

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BMC Genomics 2014年第2期15卷 1-2页

作者： Iftikhar Aslam Tayubi Omar M Barukab Sayane Shome Faculty of Computing and Information Technology King Abdulaziz University Rabigh 21911 Saudi Arabia School of Biosciences and Technology Vellore Institute of Technology Vellore 632014 India

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Drug formulation studies on regulation of BCL-2 family for treatment of autism

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BMC Genomics 2014年第2期15卷 1-2页

作者： Iftikhar A Tayubi Sayane Shome Sarosh Hashmi Faculty of Computing and Information Technology King Abdulaziz University Rabigh 21911 Saudi Arabia School of Biosciences and Technology Vellore Institute of Technology Vellore 632014 India

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In silico characterization of a putative ORF-MAP1138c of Mycobacterium avium subspecies paratuberculosis(MAP) with its implications in virulence

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BMC Genomics 2014年第2期15卷 1-3页

作者： Syed A Hassan Seyed E Hasnain Sami M Halawani Faculty of Computing and Information Technology Rabigh King Abdulaziz University PO Box 344 Rabigh 21911 Kingdom of Saudi Arabia Kusuma School of Biological Sciences Indian Institute of Technology Hauz Khas New Delhi 110016 India Faculty of Computing and Information Technology Jeddah King Abdulaziz University P.O. Box 80200 Zip Code 21589 Kingdom of Saudi Arabia

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Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015) : Jeddah, Kingdom of Saudi Arabia. 30 November - 3 December 2015

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BMC genomics 2016年第6期17 Suppl 6卷 487页

作者： Jerry W. Shay Noriko Homma Ruyun Zhou Muhammad Imran Naseer Adeel G. Chaudhary Mohammed Al-Qahtani Nobutaka Hirokawa Maryam Goudarzi Albert J. Fornace Saleh Baeesa Deema Hussain Mohammed Bangash Fahad Alghamdi Hans-Juergen Schulten Angel Carracedo Ishaq Khan Hanadi Qashqari Nawal Madkhali Mohamad Saka Kulvinder S. Saini Awatif Jamal Jaudah Al-Maghrabi Adel Abuzenadah Adeel Chaudhary Mohammed Al Qahtani Ghazi Damanhouri Heba Alkhatabi Anne Goodeve Laura Crookes Nikolas Niksic Nicholas Beauchamp Adel M. Abuzenadah Jim Vaught Bruce Budowle Mourad Assidi Abdelbaset Buhmeida Leena Merdad Sudhir Kumar Sayaka Miura Karen Gomez Mahmood Rasool Ahmed Rebai Sajjad Karim Hend F. Nour Eldin Heba Abusamra Elham M. Alhathli Nada Salem Mohammed H. Al-Qahtani Hossam Faheem Ashok Agarwa Eberhard Nieschlag Joachim Wistuba Oliver S. Damm Mohd A. Beg Taha A. Abdel-Meguid Hisham A. Mosli Osama S. Bajouh Serdar Coskun Muhammad Abu-Elmagd Ashraf Dallol Sahar Hakamy Wejdan Al-Qahtani Asia Al-Harbi Shireen Hussain Burak Ozkosem Rick DuBois Safia S. Messaoudi Maryam T. Dandana Touhami Mahjoub Wassim Y. Almawi S. Abdalla M. Nabil Al-Aama Asmaa Elzawahry Tsuyoshi Takahashi Sachiyo Mimaki Eisaku Furukawa Rie Nakatsuka Isao Kurosaka Takahiko Nishigaki Hiromi Nakamura Satoshi Serada Tetsuji Naka Seiichi Hirota Tatsuhiro Shibata Katsuya Tsuchihara Toshirou Nishida Mamoru Kato Sajid Mehmood Naeem Mahmood Ashraf Awais Asif Muhammad Bilal Malik Siddique Mehmood Aadil Hussain Qazi Mohammad Sajid Jamal Mughees Uddin Siddiqui Mohammad A. Alzohairy Mohammad A. Al Karaawi Taoufik Nedjadi Heba Al-Khattabi Adel Al-Ammari Ahmed Al-Sayyad Hédia Zitouni Nozha Raguema Marwa Ben Ali Wided Malah Raja Lfalah Wassim Almawi Mohammed Elanbari Andrey Ptitsyn Sana Mahjoub Rabeb El Ghali Bechir Achour Nidhal Ben Amor Brahim N’siri Hamid Morjani Esam Azhar Vera Chayeb Maryam Dendena Hedia Zitouni Khedija Zouari-Limayem Bassem Refaat Ahmed M. Ashshi Sarah A. Batwa Hazem Ramadan Amal Awad Ahmed Ateya Adel Galal Ahmed El-Shemi Ahmad Ashshi Mohammed Basalamah Youjin Na Cha University of Texas Southwestern Medical Center Dallas USA Department of Cell Biology and Anatomy Graduate School of Medicine the University of Tokyo Tokyo Japan Center of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Department of Biochemistry and Molecular & Cellular Biology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Oncology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Radiation Medicine Lombardi Comprehensive Cancer Center Georgetown University Washington USA Center of Excellence in Genomic Medicine Research (CEGMR) King Abdulaziz University Jeddah Kingdom of Saudi Arabia King Fahd Medical Research Centre King Abdulaziz University Jeddah Saudi Arabia Centre of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Sheffield Diagnostic Genetic Service Sheffield Children’s NHS Foundation Trust Western Bank Sheffield UK Center of Innovations in Personalized Medicine King Abdulaziz University Jeddah Saudi Arabia President ISBER Editor-in-Chief Biopreservation & Biobanking ᅟ USA Institute of Applied Genetics Department of Molecular and Medical Genetics University of North Texas Health Science Center Fort Worth USA Department of Dental Public Health Faculty of Dentistry King Abdulaziz University Jeddah Saudi Arabia Institute for Genomics and Evolutionary Medicine Temple University Philadelphia USA Center of Excellence in Genomic Medicine King Abdulaziz University Jeddah Kingdom of Saudi Arabia Laboratory of Molecular and Cellular Screening Processes (Bioinformatics Group) Centre of Biotechnology of Sfax Sfax Tunisia Fujitsu Technology Solutions International ᅟ ᅟ Case Western Reserve University School of Medicine and Lerner College of Medicine Cleveland Clinic Foundation Cleveland USA American Center for Reproductive Medicine Andrology Center Cleveland USA Center for Reproductive Medicine and

O1 Regulation of genes by telomere length over long distances Jerry W. Shay O2 The microtubule destabilizer KIF2A regulates the postnatal establishment of neuronal circuits in addition to prenatal cell survival, cell migration, and axon elongation, and its loss leading to malformation of cortical development and severe epilepsy Noriko Homma, Ruyun Zhou, Muhammad Imran Naseer, Adeel G. Chaudhary, Mohammed Al-Qahtani, Nobutaka Hirokawa O3 Integration of metagenomics and metabolomics in gut microbiome research Maryam Goudarzi, Albert J. Fornace Jr. O4 A unique integrated system to discern pathogenesis of central nervous system tumors Saleh Baeesa, Deema Hussain, Mohammed Bangash, Fahad Alghamdi, Hans-Juergen Schulten, Angel Carracedo, Ishaq Khan, Hanadi Qashqari, Nawal Madkhali, Mohamad Saka, Kulvinder S. Saini, Awatif Jamal, Jaudah Al-Maghrabi, Adel Abuzenadah, Adeel Chaudhary, Mohammed Al Qahtani, Ghazi Damanhouri O5 RPL27A is a target of miR-595 and deficiency contributes to ribosomal dysgenesis Heba Alkhatabi O6 Next generation DNA sequencing panels for haemostatic and platelet disorders and for Fanconi anaemia in routine diagnostic service Anne Goodeve, Laura Crookes, Nikolas Niksic, Nicholas Beauchamp O7 Targeted sequencing panels and their utilization in personalized medicine Adel M. Abuzenadah O8 International biobanking in the era of precision medicine Jim Vaught O9 Biobank and biodata for clinical and forensic applications Bruce Budowle, Mourad Assidi, Abdelbaset Buhmeida O10 Tissue microarray technique: a powerful adjunct tool for molecular profiling of solid tumors Jaudah Al-Maghrabi O11 The CEGMR biobanking unit: achievements, challenges and future plans Abdelbaset Buhmeida, Mourad Assidi, Leena Merdad O12 Phylomedicine of tumors Sudhir Kumar, Sayaka Miura, Karen Gomez O13 Clinical implementation of pharmacogenomics for colorectal cancer treatment Angel Carracedo, Mahmood Rasool O14 From association to causality: translation of GWAS findings for genomic me

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Towards Context-aware Deployment and Reconfiguration

Towards Context-aware Deployment and Reconfiguration

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IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

作者： Amir Hammami Thierry Villemur Tom Guerout Faculty of Computing and Information Technology Rabigh (FCITR) King Abdulaziz University CNRS LAAS Univ de Toulouse

ISBN: (纸本)9781479904051

This paper describes issues related to context-aware deployment and reconfiguration of services within networked nodes. A deployment platform has been designed and implemented on top of a peer-to-peer layer to carry on the whole deployment process. The platform is mainly composed of P2P communication facilities such as: announcements, search and retrieval of services. These facilities are analyzed and evaluated according to local and LAN experimentations. Results show the efficiency and the effectiveness of our approach.

关键词： Context-aware Deployment Reconfiguration

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Ensemble methods for prediction of Parkinson disease

Ensemble methods for prediction of Parkinson disease

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13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012

作者： Halawani, Sami M. Ahmad, Amir Faculty of Computing and Information Technology King Abdulaziz University Rabigh Saudi Arabia

ISBN: (纸本)9783642326387

Parkinson disease is a degenerative disorder of the central nervous system. In the present paper, we study the effectiveness of regression tree ensembles to predict the presence and severity of symptoms from speech datasets. This is a regression problem. Regression via classification (RvC) is a method in which a regression problem is converted into a classification problem. A discretization process is used to convert continuous target value to classes. The discretized data can be used with classifiers as a classification problem. In this paper, we also study a recently developed RvC ensemble method for the prediction of Parkinson disease. Experimental results suggest that the RvC ensembles perform better than a single regression tree. Experiments also suggest that regression tree ensembles created using bagging procedure can be a useful tool for predicting Parkinson disease. The RvC ensembles and regression tree ensembles performed similarly on the dataset. © 2012 Springer-Verlag.

关键词： Decision trees

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Maintenance performance indicators using hybrid models for food processing industries

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International Journal of Advancements in computing technology 2012年第13期4卷 94-106页

作者： Burhanuddin, M.A. Halawani, Sami M. Ahmad, A.R. Faculty of Information Technology and Communication Universiti Teknikal Malaysia Melaka Malaysia Faculty of Computing and IT Rabigh King Abdulaziz University Rabigh Saudi Arabia

The performance and competitiveness of manufacturing companies are depending on the reliability and availability of their production equipment. To ensure the equipment always at desired performance, maintenance managers need a good track of the machines operation, maintenance activities and their results. They should always attain all maintenance data, analyze them periodically, and subsequently transform it into useful strategies. Then act on the strategies to increase equipment productivities. In this research, we demonstrate on how to use Maintenance Decision Grid (MDG) and Fuzzy Inference System (FIS) to analyze maintenance performance in food processing industries. The MDG model is used to analyze top ten problematic machines in the production lines. Next, FIS is used to visualize output based on the given rules and input i.e. frequency of failures, downtime and cost. Based on MDG analysis, maintenance strategies are recommended i.e. operate to failure, service level upgrade, condition-based maintenance, design-out maintenance, total productive maintenance and reliability centered maintenance for one of the food processing industries. We collected maintenance data in 2008 and 2009 from the industry. Maintenance strategies given to the technical team and data are collected again in 2010 to observe any improvement. From the observation, we have verified that breakdowns reduced tremendously with the given strategies using MDG and FIS models. The objective of this paper is to use hybrid models i.e. MDG and FIS to analyze failure-based maintenance data. The MDG with FIS model give promising decision analysis where the performance indicators and strategies able to improve machine availabilities.

关键词： Decision making

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