Choi Wai Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 101-103). / Abstracts in English and Chinese. / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Analysis of Workers --- p.6 / Chapter 2.1 --- Input-Process-Output of Workers --- p.6 / Chapter 2.2 --- A Spectrum of Works --- p.9 / Chapter 2.2.1 --- Programmed Workers --- p.10 / Chapter 2.2.2 --- Knowledge Workers --- p.13 / Chapter 2.3 --- The Winning Characteristics of Knowledge Workers --- p.15 / Chapter 2.3.1 --- Adaptive Efficiency and Allocative Efficiency --- p.16 / Chapter 2.3.2 --- Management and Leadership --- p.16 / Chapter 2.3.3 --- "Our Proposal: to Know, to Navigate, to Accumulate and to Process (KNAP)" --- p.17 / Chapter Chapter 3. --- Literature Review on Candidate Selection Instruments --- p.21 / Chapter 3.1 --- Evaluation Criteria --- p.21 / Chapter 3.1.1 --- Result Usefulness --- p.22 / Chapter 3.1.2 --- Expense Efficiency --- p.23 / Chapter 3.1.3 --- Organizational Attractiveness --- p.23 / Chapter 3.2 --- Instruments for Knowledge Workers --- p.25 / Chapter 3.2.1 --- Biodata --- p.25 / Chapter 3.2.2 --- Cognitive Ability Tests --- p.26 / Chapter 3.2.3 --- Personality Tests --- p.28 / Chapter 3.2.4 --- Job-related Tests --- p.29 / Chapter 3.2.5 --- Employment Interviews --- p.31 / Chapter 3.3 --- Summary --- p.32 / Chapter Chapter 4. --- Problem Formulation and Proposed Approach --- p.36 / Chapter 4.1 --- A Computerized Interactive Game Approach (CIG) --- p.38 / Chapter 4.2 --- Pilot Study --- p.40 / Chapter 4.3 --- Implementation: a Revised ERP Game --- p.44 / Chapter 4.4 --- Mechanism of Candidate Selection --- p.49 / Chapter Chapter 5. --- Experiment Design --- p.51 / Chapter 5.1 --- Aims --- p.51 / Chapter 5.2 --- Experiment Procedures --- p.53 / Chapter 5.3 --- Contents --- p.54 / Chapter Chapter 6. --- Experiment Results and Data Analysis --- p.60 / Chapter 6.1 --- Candidate Selection in the Problem Solving Test --- p.60 / Chapter 6.2 --- Candidate Selection in the Personality Tests --- p.62 / Chapter 6.3 --- Candidate Selection in the Game --- p.64 / Chapter 6.4 --- Combined Candidate Selection --- p.70 / Chapter 6.5 --- Questionnaire --- p.71 / Chapter 6.5.1 --- General Discussion --- p.72 / Chapter 6.5.2 --- Hypothesis 1: Face Validity vs. Perceived Predictive Validity --- p.87 / Chapter 6.5.3 --- Hypothesis 2: Organizational Attractiveness --- p.89 / Chapter 6.5.4 --- Hypothesis 3: the Game with Better Perceived Job Relatedness --- p.92 / Chapter 6.5.5 --- Hypothesis 4: the Game with Better Organizational Attractiveness. --- p.93 / Chapter 6.5.6 --- Others --- p.93 / Chapter 6.5.7 --- Summary of Findings --- p.95 / Chapter Chapter 7. --- Conclusion and Further Research --- p.98 / Reference --- p.101

Chan Chi Yuk. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 41-42). / Abstracts in English and Chinese. / Acknowledgement --- p.i / Abstract --- p.ii / 摘要 --- p.iii / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Background --- p.4 / Chapter 2.1 --- Server-less Video Streaming Architecture --- p.4 / Chapter 2.2 --- Network Congestion --- p.6 / Chapter Chapter 3 --- Network-Neutral Schedulers --- p.9 / Chapter 3.1 --- Randomized Scheduler --- p.9 / Chapter 3.2 --- Staggered Scheduler --- p.10 / Chapter 3.3 --- Staggered-on-Request Scheduler --- p.11 / Chapter Chapter 4 --- A Model for Transmission Scheduling --- p.13 / Chapter 4.1 --- Matrix Representation --- p.13 / Chapter 4.2 --- Parameter Estimation --- p.17 / Chapter Chapter 5 --- Network Aware Schedulers --- p.20 / Chapter 5.1 --- Gradient Descent Scheduler --- p.20 / Chapter 5.2 --- Least Schedulable First Scheduler --- p.23 / Chapter 5.3 --- Performance Analysis --- p.26 / Chapter Chapter 6 --- Performance Evaluation --- p.30 / Chapter 6.1 --- Sensitivity to Clock Jitter --- p.32 / Chapter 6.2 --- Sensitivity to System Size --- p.34 / Chapter 6.3 --- Sensitivity to System Utilization --- p.35 / Chapter 6.4 --- Sensitivity to Delay Variation --- p.36 / Chapter 6.5 --- Sensitivity to Router Buffer Size --- p.38 / Chapter Chapter 7 --- Conclusions --- p.39 / Bibliography --- p.41

No description available.

NUITEQ is a company based in skellefteå that develops multitouch software for touch screens with a focus on educational applications. They wanted to know if an application, that could aggregate small clips from YouTube videos to create summaries for school subjects could be created. This project is made with the existing YouTube API to create an application that can be used to create summaries about different subjects and then be shared with students and teachers. The end result is a web application that can be used to search for, play and clip YouTube videos. The result can then be shared with other people. This paper will go through how the YouTube API is used to search for videos and how to use it to create players for the videos.

No description available.

This study covers the development and analisis of A Low Power Sensor Network, Parking Garage Application. An analisis of the arduino platform is presented with a structural overview as well as the design choices made during the development of the parking garage application. This includes the analisis of power usage, sensor accuracy and sensor network communication. The entire system consists of the sensor nodes, a server and an Android application. The users are, through the application, informed wheather any vacant parking spaces are available.

Poly(propylene glycol) (PPG) samples of different molecular mass were characterized using differential scanning calorimetry, modulated differential scanning calorimetry, thermogravimetry and thermally stimulated current (TSC) spectroscopy. It was shown, by TSC, that the glass transition temperature and the degree of molecular mobility increased with increasing molecular mass of PPG. Additional experiments showed that PPGs of molecular mass 425, 1000 and 2000 Da undergo one global relaxation process; however, PPG 2700 (Da) undergoes an additional relaxation process after the glass transition which has been attributed either to the release of the excess charge delocalised in the polymer structure or a liquid-liquid transition. Thermally induced phase separation in aqueous solutions of PPG has been examined using a variety of techniques including high sensitivity scanning calorimetry (HSDSC), hot stage microscopy, small angle neutron scattering, and turbidity measurements. The data suggest that phase separation is a consequence of PPG aggregation (droplets); the aggregates grow in size, as the temperature is raised further. It is postulated that phase separation occurs via nucleation and growth, which is corroborated by model fitting the calorimetric data using a mass action aggregation model. It is concluded that phase separation of PPG occurs as a result of the disruption of a hydrogen bonded network between water and PPG. The effect of five sugars (mannitol, maltose, raffinose, sucrose and trehalose) on the Tm (transition temperature) of aqueous PPG 1000 solutions was studied by HSDSC and turbidity measurements. All the sugars decreased the phase separation temperature of the PPG solutions, with trehalose and maltose showing the greatest effect. A series of experiments, using HPLC, showed that phase separated PPG (1000 Da) increased the apparent aqueous solubility of naphthalene.

1D and 2D graphitic materials (carbon nanotubes (CNTs) and graphene nanoplatelets (GNPs)) are of great interest due to their extraordinary electrical, thermal, mechanical and optical properties rarely found in bulk materials. The transfer of such properties to polymers has been limited and the development of scalable, cost-effective, multi-functional composite materials not fully realised. Polymers filled with 1D and 2D graphitic nanomaterials have uses in a wide range of applications and industries ranging from aerospace and automotive to personal care and high-tech products. Growing global economic development has sharply increased the world’s energy needs and in particular, our energy storage needs. In addition, they have potential applications in electronics, sensors and energy conversion. Another application in the area of personal care has shown that CNT-polymer composites can be used to speed up the process of bone-regeneration by being used as tissue scaffold materials. An application of interest is to use graphitic nanomaterials to produce composites with high mechanical performance (stiffness and strength) with low filler quantity providing innovative light-weighting solutions. Further potential applications of 1D and 2D graphitic nanomaterials include; touch screens, capacitors, spintronic devices, fuel cells, conductive films, high frequency circuits and flexible electronics. The development of such innovative materials requires the nanofiller to be homogenously dispersed within the polymer matrix, e.g. poly(propylene)(PP). The formation of an interconnected filler network structure at a low percolation threshold will result in the enhancement of electrical and thermal conductivity. In addition, efficient interfacial adhesion and stress transfer between filler and polymer results in improved mechanical strength and stiffness. However, poor compatibility between filler and the PP matrix prevents efficient homogenous dispersion and network formation. To address this major technical challenge, the use of a polymer compatibiliser which non-covalently functionalised graphitic nanomaterials was explored. By way of example, poly(lauryl acrylate) P[LA] was selected based upon its known compatibility with PP and it was proposed that it would also non-covalently functionalise such fillers via CH-π wrapping. P[LA] was synthesised using controlled living radical polymerisation methods and was shown to both be thermally stable for extrusion and physisorbed onto the surface of MWCNTs. For composites of PP, P[LA] and either MWCNTs or GNPs evidence was obtained confirming that P[LA] improved filler dispersion however, the most notable observation was a significant reduction in Tg of PP which was associated with P[LA] plasticising PP. Further polymer compatibilisers based on copolymers (statistical and block) of P[LA] and poly(2-phenyl ethyl acrylate) P[2PEA] where also synthesised and their potential to non-covalently functionalise CNTs and GNPs via both CH-π wrapping and π-π stacking examined. A range of characterisation techniques were employed to thoroughly understand the behaviour of these compatibilisers when added to composites of MWCNTs/GNPs and PP. Evidence for π-π stacking of P[2PEA] onto the surface of both graphitic fillers was observed from extensive electron microscopy observations. The potential of P[LA-co-2PEA] block copolymers as compatibilisers for 1D and 2D graphitic materials and PP was proven. The use of poly(acrylate)s as compatibilisers to assist the dispersion of 1D and 2D graphitic nanofillers in a PP has proven to be a concept with limited potential to alter the mechanical, electrical and thermal properties of polymers. The excellent thermal stability demonstrated by poly(acrylate)s for the purpose of melt blending with PP provides scope for further work through alternative functionalisation strategies e.g. covalent functionalisation. Throughout the project, the discussion has centred around the use of P[LA] and P[2PEA] due their potential to adsorb onto surface of 1D and 2D graphitic fillers and promote their dispersion in a PP matrix however, further work should investigate a range of poly(acrylate)s with various structures, chemistries, molecular weights and dispersities. For example, the use poly(acrylate)s with longer side chains such as poly(octadecyl acrylate) or poly(acrylate)s containing aromatic side chains with a greater number of benzene rings such as pyrene, for example pyrene acrylate. It is evident that the viscosity of the compatibilising polymer influences the extent of dispersion of the compatibiliser in the PP and matrix and therefore, it would be interesting to investigate if there is a correlation between the viscosity of the polymer compatibiliser and the extent of its dispersion in the PP matrix. GNPs with a greater aspect ratio are predicted to achieve percolation at lower loadings, increase electrical and thermal conductivity as well as improve the mechanical properties. Additionally, it would be interesting to explore what GNP quantity is required to achieve electrical and rheological percolation with the same type of GNPs and correlate those findings with graphenes with different aspect ratios to understand the role of flake dimensions. It is clear, P[LA] is not particularly successful in compatibilising the GNPs used in this study. In addition, it would useful to conduct dynamic cross-polarized optical microscopy and WAXS/SAXS scattering experiments during heating and cooling to investigate transcrystallinity phenomena at the interface between GNPs and the PP matrix.

The rapid depletion of power sources has remarkably impacted the transport sector, where the costs of the freight transportation are rising dramatically every year. Significant endeavours have been made to develop innovative means of transport that can be adopted for economic and environmental friendly operating systems. Transport pipelines consider one such alternative mode that can be used to transfer goods. Although the flow behaviour of a solidliquid mixture in hydraulic capsule pipeline is quite complicated, due to its dependence on a large number of geometrical and dynamic parameters, it is still a subject of active research. In addition, published literature is extremely limited in terms of identifying the impacts of the capsules shape on the flow characteristics of pipelines. The shape of these capsules has a significant effect on the hydrodynamic behaviour within such pipelines. This thesis presents a computational investigation employing advanced Computational Fluid Dynamics (CFD) based tool to simulate the capsules flow of varied shapes quantified in form of a novel shape factor in a vertical hydraulic capsule pipeline. The 3-D Dynamic Meshing technique with Six Degrees of Freedom approach is applied for numerical simulation of unsteady flow fields in vertical capsule pipelines. Variations in flow related parameters within the pipeline have been discussed in detail for geometrical parameters associated with the capsules and flow conditions within Hydraulic Capsule Pipelines (HCPs). Detailed quantitative and qualitative analyse has been conducted in the current research. The qualitative analysis of the field of the flow comprises descriptions of the pressure and velocity distribution within the pipeline. The investigations have been conducted on the flow of spherical, cylindrical and rectangular shaped capsules each one separately for offshore applications. As it can be notice that the flow behaviour inside HCP relies on the flow conditions and geometric parameters. The development of novel predictive models for pressure drop and capsule velocity is considered as one of the goals that have been achieved in this research. Moreover, the flow of a variety of different shaped capsules, in combination, has also been investigated based on the impact of the order of the capsule shape within the vertical pipeline. It has been found that the motion of mixed capsules along the pipeline shows a significant variation comparing to the basic capsules shapes for the same shape being transported across the pipelines. Capsule pipeline designers need accurate data regarding the pressure drop, holdup and the shape of the capsules etc., at early design phases. The methodology of optimisation is developed based on the least cost principle for vertical HCPs. The inputs to the predictive models are the shape factor of the capsule and solid throughput demanded of the system, while the outcomes represent the pumping power demanded for the capsule transportation process and the optimal diameter of the HCP. In the present study, a complete visualisation of capsules flow and design of vertical hydraulic capsule pipelines has been reported. Sophisticated computational tools have allowed the possibility to analyse and map the flow structure in an HCP, which resulted to a deeper comprehension of the flow behaviour and trajectory of the capsules in vertical pipes.

Modern Supervisory Control and Data Acquisition (SCADA) systems are essential for monitoring and managing electric power generation, transmission and distribution. In the age of the Internet of Things, SCADA has evolved into big, complex and distributed systems that are prone to conventional in addition to new threats. So as to detect intruders in a timely and efficient manner a real time detection mechanism, capable of dealing with a range of forms of attacks is highly salient. Such a mechanism has to be distributed, low cost, precise, reliable and secure, with a low communication overhead, thereby not interfering in the industrial system’s operation. In this commentary two distributed Intrusion Detection Systems (IDSs) which are able to detect attacks that occur in a SCADA system are proposed, both developed and evaluated for the purposes of the CockpitCI project. The CockpitCI project proposes an architecture based on real-time Perimeter Intrusion Detection System (PIDS), which provides the core cyber-analysis and detection capabilities, being responsible for continuously assessing and protecting the electronic security perimeter of each CI. Part of the PIDS that was developed for the purposes of the CockpitCI project, is the OCSVM module. During the duration of the project two novel OCSVM modules were developed and tested using datasets from a small-scale testbed that was created, providing the means to mimic a SCADA system operating both in normal conditions and under the influence of cyberattacks. The first method, namely K-OCSVM, can distinguish real from false alarms using the OCSVM method with default values for parameters ν and σ combined with a recursive K-means clustering method. The K-OCSVM is very different from all similar methods that required pre-selection of parameters with the use of cross-validation or other methods that ensemble outcomes of one class classifiers. Building on the K-OCSVM and trying to cope with the high requirements that were imposed from the CockpitCi project, both in terms of accuracy and time overhead, a second method, namely IT-OCSVM is presented. IT-OCSVM method is capable of performing outlier detection with high accuracy and low overhead within a temporal window, adequate for the nature of SCADA systems. The two presented methods are performing well under several attack scenarios. Having to balance between high accuracy, low false alarm rate, real time communication requirements and low overhead, under complex and usually persistent attack situations, a combination of several techniques is needed. Despite the range of intrusion detection activities, it has been proven that half of these have human error at their core. An increased empirical and theoretical research into human aspects of cyber security based on the volumes of human error related incidents can enhance cyber security capabilities of modern systems. In order to strengthen the security of SCADA systems, another solution is to deliver defence in depth by layering security controls so as to reduce the risk to the assets being protected.