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38 Papers

Baby Boomers Retirement in Oil and Gas - Challenges of Knowledge Transfer for Organizational Competitive Advantage

Topics: Communication, Collaboration and Information Sharing; KM Strategies and Implementations

Authors: Muhammad Saleem Sumbal , Eric Tsui and W. B. Lee

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0005593401680173

Proceedings of KMIS 2015/IC3K, ISBN: 978-989-758-158-8

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The current paper presents an overview of the baby booming phenomena and its implications on the knowledge management capabilities and competitive advantage of the organizations. Further it focuses on the baby boomer crisis in oil and gas sector and proposes a framework to investigate the knowledge transfer trends from baby boomers and its impact on organizational competitive advantage and knowledge management.
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Artificial Intelligence

KM Strategies and Implementations

Knowledge-Based Systems

Communication, Collaboration and Information Sharing

Knowledge Management and Information Sharing

Symbolic Systems

Top-down Feature Mining Framework for Software Product Line

Topics: Software Engineering; Tools, Techniques and Methodologies for System Development

Authors: Yutian Tang and Hareton Leung

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0005370300710081

Proceedings of ICEIS 2015, ISBN: 978-989-758-097-0

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Software product line engineering is regarded as a promising approach to generate tailored software products by referencing shared software artefacts. However, converting software legacy into a product line is extremely difficult, given the complexity, risk of the task and insufficient tool support. To cope with this, in this paper, we proposed a top-down feature-mining framework to facilitate developers extracting code fragments for features concerned. Our work aims to fulfill the following targets: (1) identify features at a fine granularity, (2) locate code fragments for concerned feature hierarchically and consistently, and (3) combine program analysis techniques and feature location strategies to improve mining performance. From our preliminary case studies, the top-down framework can effectively locate features and performs as good as Christians approach and performs better than the topology feature location approach.
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Enterprise Information Systems

Software Engineering

Tools, Techniques and Methodologies for System Development
Information Systems Analysis and Specification

A Mobile Augmentative and Alternative Communication (MAAC) Application for Disabilities

Topics: Human-Machine Interfaces for Disabled Persons; ICT, Ageing and Disability; Mobile Technologies for Healthcare Applications

Authors: Ka-Lun Cheung , Toby H. W. Lam and King-Hong Cheung

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0004738201880195

Proceedings of HEALTHINF 2014/BIOSTEC, ISBN: 978-989-758-010-9

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Communication board is one of Augmentative and Alternative Communication (AAC) which provides a large amount of pictures classified under various categories. It is a useful instrument for disabled people, who are suffering from speech and language impairment, to facilitate their communication by simply selecting pictures. The traditional communication board would assist the users to communicate with the others. However, there are a number of limitations of the communication board such as large in size and difficult to carry. Because of the advanced technology, it is inexpensive to purchase a mobile device. In this paper, we present our mobile augmentative and alternative communication application, namely MAAC app, for disabled people. The MAAC app runs on the Android-based mobile devices such as smartphones or tablets. This application is suitable for disabled people who are suffered from cerebral palsy, spasm and stroke. We performed user acceptance test (UAT) with domain experts on the application and the overall comment is positive.
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Biomedical Engineering

Human-Machine Interfaces for Disabled Persons

Neural Rehabilitation

Distributed and Mobile Software Systems

ICT, Ageing and Disability

Neurotechnology, Electronics and Informatics

Health Engineering and Technology Applications

Mobile Technologies

Software Engineering
Health Information Systems

Mobile Technologies for Healthcare Applications

Integrating Local Information-based Link Prediction Algorithms with OWA Operator

Topic: Ensemble Methods

Authors: James N. K. Liu 1 , Yu-Lin He 2 , Yan-Xing Hu 1 , Xi-Zhao Wang 2 and Simon C. K. Shiu 1

Affiliations: 1 The Hong Kong Polytechnic University, Hong Kong , 2 College of Mathematics and Computer Science and Hebei University, China

Digital Object Identifier: 10.5220/0004825902130219

Proceedings of ICPRAM 2014, ISBN: 978-989-758-018-5

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The objective of link prediction for social network is to estimate the likelihood that a link exists between two nodes x and y. There are some well-known local information-based link prediction algorithms (LILPAs) which have been proposed to handle this essential and crucial problem in the social network analysis. However, they can not adequately consider the so-called local information: the degrees of x and y, the number of common neighbors of nodes x and y, and the degrees of common neighbors of x and y. In other words, not any LILPA takes into account all the local information simultaneously. This limits the performances of LILPAs to a certain degree and leads to the high variability of LILPAs. Thus, in order to make full use of all the local information and obtain a LILPA with highly-predicted capability, an ordered weighted averaging (OWA) operator based link prediction ensemble algorithm (LPEOWA) is proposed by integrating nine different LILPAs with aggregation weights which are determined with maximum entropy method. The final experimental results on benchmark social network datasets show that LPEOWA can obtain higher prediction accuracies which is measured by the area under the receiver operating characteristic curve (AUC) in comparison with nine individual LILPAs.
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Ensemble Methods

Pattern Recognition

Theory and Methods

Analytical Forward Kinematics to the 3 DOF Congruent Spherical Parallel Robot Manipulator

Topic: Robot Design, Development and Control

Authors: Ping Ji 1 and Hongtao Wu 2

Affiliations: 1 The Hong Kong Polytechnic University, Hong Kong , 2 Nanjing University of Aeronautics and Astronautics, China

Digital Object Identifier: 10.5220/0004399601110115

Proceedings of ICINCO 2013, ISBN: 978-989-8565-71-6

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This paper studies the kinematics of a special three degree-of-freedom (3 DOF) spherical parallel robot manipulator, where the two pyramids are exactly the same and so it is commonly called the 3 DOF congruent spherical parallel platform. Due to this special structure, the movement of the mobile pyramid can be regarded as the rotation of a rigid body from its base posture to its current status. By use of this special property, the forward kinematics of the parallel robot manipulator is obtained in this paper, and the final solution is a univariate quartic equation, which can be solved analytically without numerical iterations. A numerical example is provided to illustrate the method.
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Informatics in Control, Automation and Robotics

Robot Design, Development and Control

Robotics and Automation

Colour Quality of CO2 Laser-Treated Denim Fabric

Topic: Fiber Lasers and Applications

Authors: C. W. Kan and K. K. Law

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0004264601290133

Proceedings of PHOTOPTICS 2013, ISBN: 978-989-8565-44-0

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CO2 laser processing was used in this study for engraving denim fabric. By controlling the laser process parameters, i.e. pixel time (µs) and resolution (dot per inch), laser with different powers can be produced which were used for engraving a square pattern in denim fabric. After laser engraving, the shade and related colour properties of the denim fabric were measured and compared with the untreated one.

Dimensional Stability of CO2 Laser-treated Denim Fabric

Topic: Fiber Lasers and Applications

Authors: C. W. Kan and K. K. Law

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0004264501250128

Proceedings of PHOTOPTICS 2013, ISBN: 978-989-8565-44-0

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CO2 laser process allows quick surface pattern designing of desired size and intensity on a wide range of textile surfaces with precision and without much affecting the structure of the materials. As a result, CO2 laser application in textile material is possible to make textile fabric to have faded look, worn out and special effects without using chemical as compared with conventional process. In the past, colour fading effect of CO2 laser-treated denim fabric was studied but the dimensional stability of the CO2 laser-treated denim fabric is seldom reported. Therefore, this study will investigate the effect of CO2 laser on the denim fabric in order to evaluate the effect on fabric dimensional stability. Experimental results revealed that the laser power should be carefully controlled because the laser power could affect the fabric shrinkage due to severe fabric damage.
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Fiber Lasers and Applications

Lasers

Photonics, Optics and Laser Technology

Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network

Topics: Software Engineering; Software Metrics and Measurement

Authors: Lianfa Li 1 and Hareton Leung 2

Affiliations: 1 CAS and The Hong Kong Polytechnic University, China , 2 The Hong Kong Polytechnic University, China

Digital Object Identifier: 10.5220/0004392900050016

Proceedings of ICEIS 2013, ISBN: 978-989-8565-60-0

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In the prediction of fault-proneness in object-oriented (OO) systems, it is essential to have a good prediction method and a set of informative predictive factors. Although logistic regression (LR) and naïve Bayes (NB) have been used successfully for prediction of fault-proneness, they have some shortcomings. In this paper, we proposed the Bayesian network (BN) with data mining techniques as a predictive model. Based on the Chidamber and Kemerer’s (C-K) metric suite and the cyclomatic complexity metrics, we examine the difference in the performance of LR, NB and BN models for the fault-proneness prediction at the class level in continual releases (five versions) of Rhino, an open-source implementation of JavaScript written in Java. From the viewpoint of modern software development, Rhino uses a highly iterative or agile development methodology. Our study demonstrates that the proposed BN can achieve a better prediction than LR and NB for the agile software.
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Enterprise Information Systems

Software Engineering

Software Metrics and Measurement
Information Systems Analysis and Specification

Scheduling Strategies for Risk Mitigation

Topics: Risk Management; Scheduling and Estimating

Authors: Peng Zhou and Hareton K. N. Leung

Affiliation: The Hong Kong Polytechnic University, China

Digital Object Identifier: 10.5220/0004409203650376

Proceedings of ICSOFT-EA 2013/ICSOFT, ISBN: 978-989-8565-68-6

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Risk mitigation is essential for risk management because it aims to reduce or eliminate risks. To make the best use of resources, a scheduling strategy for risk mitigation is needed to determine the risks to be mitigated and when to mitigate them. The traditionally used strategy for scheduling risk mitigation, “risk value first strategy”, does not consider time elements of risk. Both PMI risk management framework and IEEE standard for software project risk management point out that time elements should be considered in risk mitigation. However, there is a lack of principles and guidelines on how to schedule risk mitigation with due consideration of these time elements. In this paper, we formally define scheduling strategy for risk mitigation, identify new scheduling strategies, and compare their performance by applying stochastic simulation.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Applications

Risk Management

Software Engineering

Methodologies and Technologies

Scheduling and Estimating

Software Project Management
Operational Research

GENERATIVE DESIGN EXPLORATION FRAMEWORK BASED ON SUBJECTIVE EVALUATION

Topics: Representation Techniques; Evolutionary Multiobjective Optimization; Evolutionary Art and Design; Evolution Strategies

Authors: Jia Cui and Ming Xi Tang

Affiliation: The Hong Kong Polytechnic University, Hong Kong

Digital Object Identifier: 10.5220/0003669003030306

Proceedings of ECTA 2011/IJCCI, ISBN: 978-989-8425-83-6

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Application of evolutionary computation in design, supporting artificial intelligence and design inspiration, requires a good understanding of design process. However, obtaining a creative design solution with subjective evaluation is the barrier of traditional evolutionary mechanisms. In this paper, a novel aesthetic evaluation model connecting subjective and objective space is introduced, and an exploration algorithm combining human cognition and preference is presented, which can support design exploration to generate new design solutions more effectivelly and intelligently.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

Evolutionary Art and Design

Representation Techniques

Computational Intelligence

Evolutionary Computing

Soft Computing
Evolution Strategies

Evolutionary Multiobjective Optimization

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