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Communications in Computer and Information Science: Preface

Communications in Computer and Information Science 2012年 301 CCIS卷 V-VIII页

作者： Winkler, Dietmar O'Connor, Rory V. Messnarz, Richard Institute of Software Technology and Interactive Systems Vienna University of Technology Austria Lero The Irish Software Engineering Research Centre School of Computing Dublin City University Ireland ISCN GesmbH Graz Austria

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition

StreamAR: Incremental and Active Learning with Evolving Sens...

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International Conference on Tools with Artificial Intelligence

作者： Zahraa Said Abdallah Mohamed Medhat Gaber Bala Srinivasan Shonali Krishnaswamy Centre for Distributed Systems and Software Engineering Monash University School of Computing University of Portsmouth Institute for Infocomm Research (I2R)

ISBN: (纸本)9781479902279

Activity recognition focuses on inferring current user activities by leveraging sensory data available on today's sensor rich environment. Supervised learning has been applied pervasively for activity recognition. Typical activity recognition techniques process sensory data based on point-by-point approaches. In this paper, we propose a novel cluster-based classification for activity recognition systems, termed StreamAR. The system incorporates incremental and active learning for mining user activities in data streams. The novel approach processes activities as clusters to build a robust classification framework. StreamAR integrates supervised, unsupervised and active learning and applies hybrid similarity measures technique for recognising activities. Extensive experimental results using real activity recognition datasets have evidenced that our new approach shows improved performance over other existing state-of-the-art learning methods.

关键词： Experiential Learning Activity recognition Incremental Sensation

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Visualizing traceability links between source code and documentation

Visualizing traceability links between source code and docum...

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IEEE Symposium on Visual Languages and Human Centric computing (VL/HCC)

作者： Xiaofan Chen John Hosking John Grundy Department of Computer Science University of Auckland Auckland New Zealand College of Engineering & Computer Science Australian National University Canberra Australia Centre for Computing & Engineering Software Systems Swinburne University of Technology Melbourne Australia

It is well recognized that visualizing traceability links between software artifacts helps developers to recover, browse, and maintain these inter-relationships effectively and efficiently. However, it is a major challenge for researchers to efficiently visualize traceability links for big software systems because of scalability and visual clutter issues. In this paper we present a new approach that combines treemap and hierarchical tree visualization techniques to provide a global structure of traces and a detailed overview of each trace. These both reduce visual clutter while still being highly scalable and interactive. Our usability study shows that our approach can support comprehension, browsing, and maintenance of traceability links.

关键词： Visualization Color Clutter Data visualization software systems Layout

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RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis

RA-SAX: Resource-aware symbolic aggregate approximation for ...

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2011 12th IEEE International Conference on Mobile Data Management, MDM 2011

作者： Tayebi, Hossein Krishnaswamy, Shonali Waluyo, Augustinus Borgy Sinha, Abhijat Gaber, Mohamed Medhat Centre for Distributed Systems and Software Engineering Monash University Melbourne VIC Australia School of Computing University of Portsmouth Portsmouth United Kingdom

ISBN: (纸本)9780769544366

There is a growing focus on 24/7 cardiac monitoring that leverages state of the art mobile phones and commercial-off-the-shelf (COTS) wearable bio-sensors. While many signal processing techniques for mobile ECG analysis have been developed, these techniques tend to be computationally intensive. In this paper, we propose, develop and evaluate a resource-aware and energy-efficient time series analysis technique for real-time ECG analysis on mobile devices based on the well-known SAX (Symbolic Aggregate Approximation) representation for time series termed RA-SAX. © 2011 IEEE.

关键词： Aggregates

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Improving automated documentation to code traceability by combining retrieval techniques 11

Improving automated documentation to code traceability by co...

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2011 26th IEEE/ACM International Conference on Automated software engineering, ASE 2011

作者： Chen, Xiaofan Grundy, John Department of Computer Science University of Auckland Auckland New Zealand Centre for Computing and Engineering Software Systems Swinburne University of Technology Melbourne VIC Australia

ISBN: (纸本)9781457716393

Documentation written in natural language and source code are two of the major artifacts of a software system. Tracking a variety of traceability links between software documentation and source code assists software developers in comprehension, efficient development, and effective management of a system. Automated traceability systems to date have been faced with a major open research challenge: how to extract these links with both high precision and high recall. In this paper we introduce an approach that combines three supporting techniques, Regular Expression, Key Phrases, and Clustering, with a Vector Space Model (VSM) to improve the performance of automated traceability between documents and source code. This combination approach takes advantage of strengths of the three techniques to ameliorate limitations of VSM. Four case studies have been used to evaluate our combined technique approach. Experimental results indicate that our approach improves the performance of VSM, increases the precision of retrieved links, and recovers more true links than VSM alone. © 2011 IEEE.

关键词： Vector spaces

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On the engineering of systems of systems: Key challenges for the requirements engineering community

On the engineering of systems of systems: Key challenges for...

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2011 Workshop on Requirements engineering for systems, Services and systems-of-systems, RESS 2011 - Workshop Co-located with the 19th IEEE International Requirements engineering Conference

作者： Ncube, Cornelius Software Systems Research Centre School of Design Engineering and Computing Bournemouth University Poole Dorset BH12 5BB United Kingdom

ISBN: (纸本)9781457709418

software intensive systems of the future will be ultra large-scale systems of systems. systems of systems engineering focuses on the interoperation of many independent, self-contained constituent systems to achieve a global need. The scale and complexity of systems of systems posses unique challenges for the Requirements engineering community. Current requirements engineering techniques are inadequate in addressing these challenges and new concepts, methods, techniques, tools and processes are required. This paper identifies some immediate key challenges for the Requirements engineering community that need to be scoped and describes some roadmapping activities that aim to address these challenges. © 2011 IEEE.

关键词： Requirements engineering

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Using automated Control Charts for the Runtime Evaluation of QoS Attributes

Using automated Control Charts for the Runtime Evaluation of...

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13th IEEE International Symposium on High Assurance systems engineering, HASE 2011

作者： Amin, Ayman Colman, Alan Grunske, Lars Centre for Computing and Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC 3122 Australia Department of Computer Science Software Engineering: AG AQUA University of Kaiserslautern Kaiserslautern67653 Germany

ISBN: (纸本)9780769546155

As modern software systems operate in a highly dynamic context, they have to adapt their behaviour in response to changes in their operational environment or/and requirements. Triggering adaptation depends on detecting quality of service (QoS) violations by comparing observed QoS values to predefined thresholds. These threshold-based adaptation approaches result in late adaptations as they wait until violations have occurred. This may lead to undesired consequences such as late response to critical events. In this paper we introduce a statistical approach CREQA - Control Charts for the Runtime Evaluation of QoS Attributes. This approach estimates at runtime capability of a system, and then it monitors and provides early detection of any changes in QoS values allowing timely intervention in order to prevent undesired consequences. We validated our approach using a series of experiments and response time datasets from real world web services. © 2011 IEEE.

关键词： Quality of service

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Generating essential user interface prototypes to validate requirements 11

Generating essential user interface prototypes to validate r...

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2011 26th IEEE/ACM International Conference on Automated software engineering, ASE 2011

作者： Kamalrudin, Massila Grundy, John Department of Electrical and Computer Engineering University of Auckland Private bag 92019 Auckland 1142 New Zealand Centre for Computing and Engineering Software Systems Swinburne University of Technology PO Box 218 Hawthorn VIC 3122 Australia

ISBN: (纸本)9781457716393

Requirements need to be validated at an early stage of analysis to address inconsistency and incompleteness issues. Capturing requirements usually involves natural language analysis, which is often imprecise and error prone, or translation into formal models, which are difficult for non-technical stakeholders to understand and use. Users often best understand proposed software systems from the likely user interface they will present. To this end we describe novel automated tool support for capturing requirements as Essential Use Cases and translating these into "Essential User Interface" low-fidelity rapid prototypes. We describe our automated tool supporting requirements capture, lo-fi user interface prototype generation and consistency management. © 2011 IEEE.

关键词： Rapid prototyping

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CloudSec: A security monitoring appliance for Virtual Machines in the IaaS cloud model

Proceedings - 2011 5th International Conference on Network a...

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Proceedings - 2011 5th International Conference on Network and System Security, NSS 2011 2011年 113-120页

作者： Ibrahim, Amani S. Hamlyn-Harris, James Grundy, John Almorsy, Mohamed Centre for Computing and Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC Australia

ISBN: (纸本)9781457704598

The Infrastructure-as-a-Service (IaaS) cloud computing model has become a compelling computing solution with a proven ability to reduce costs and improve resource efficiency. Virtualization has a key role in supporting the IaaS model. However, virtualization also makes it a target for potent rootkits because of the loss of control problem over the hosted Virtual Machines (VMs). This makes traditional in-guest security solutions, relying on operating system kernel trustworthiness, no longer an effective solution to secure the virtual infrastructure of the IaaS model. In this paper, we explore briefly the security problem of the IaaS cloud computing model, and present CloudSec, a new virtualization-aware monitoring appliance that provides active, transparent and real-time security monitoring for hosted VMs in the IaaS model. CloudSec utilizes virtual machine introspection techniques to provide fine-grained inspection of VM's physical memory without installing any monitoring code inside the VM. It actively reconstructs and monitors the dynamically changing kernel data structures instances, as a prior step to enable providing protection for kernel data structures. We have implemented a proof-of-concept prototype using VMsafe libraries on a VMware ESX platform. We have evaluated the system monitoring accuracy and the performance overhead of CloudSec. © 2011 IEEE.

关键词： Virtual machine

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