No description available.

Researchers have examined crowd behaviour in the past by employing a variety of methods including ethnographic studies, computer vision techniques and manual annotation-based data analysis. However, because of the resources to collect, process and analyse data, it remains difficult to obtain large data sets for study. Mobile phones offer easier means for data collection that is easy to analyse and can preserve the user's privacy. The aim of this thesis is to identify and model different qualities of social interactions inside crowds using mobile sensing technology. This Ph.D. research makes three main contributions centred around the mobile sensing and crowd sensing area. Firstly, an open-source licensed mobile sensing framework is developed, named SensingKit, that is capable of collecting mobile sensor data from iOS and Android devices, supporting most sensors available in modern smartphones. The framework has been evaluated in a case study that investigates the pedestrian gait synchronisation phenomenon. Secondly, a novel algorithm based on graph theory is proposed capable of detecting stationary social interactions within crowds. It uses sensor data available in a modern smartphone device, such as the Bluetooth Smart (BLE) sensor, as an indication of user proximity, and accelerometer sensor, as an indication of each user's motion state. Finally, a machine learning model is introduced that uses multi-modal mobile sensor data extracted from Bluetooth Smart, accelerometer and gyroscope sensors. The validation was performed using a relatively large dataset with 24 participants, where they were asked to socialise with each other for 45 minutes. By using supervised machine learning based on gradient-boosted trees, a performance increase of 26.7% was achieved over a proximity-based approach. Such model can be beneficial to the design and implementation of in-the-wild crowd behavioural analysis, design of influence strategies, and algorithms for crowd reconfiguration.

Mobile commerce is becoming an important component of modern business especially in the retail sector thanks to the fast diffusion of smartphones. This new shopping technique enables consumers to shop wherever and whenever they choose. It also helps retailers to grow their business in omni-channel – many major UK retailers including the “Big Four Grocers” (Tesco, Asda, Sainsbury’s and Morrisons) have adjusted their digital and category strategies in response to mobile customers. Despite the growing body of literature on mobile commerce, little research has been conducted to provide a comprehensive list of factors that affect the mobile grocery shoppers’ decision-making and their loyalty. In addition, some of the studies had issues relating to inappropriate sampling techniques, which led to unrepresentative findings. This thesis will explore the factors that drive consumers’ intention to use smartphones for grocery shopping, and to identify the key elements that drive consumer loyalty to the mobile grocery provider. Building on an extensive literature review, the key determinants of mobile commerce adoption were analysed with a consideration of issues around online grocery shopping, diffusion of innovation, and customer satisfaction. The key research methods and approaches were compared along with an analysis of the research methods used by the existing literatures, and concluded that a mixed-method approach was the most appropriate way to meet the aim and objectives of this study. Following the research design, the author undertook 32 interviews with shoppers from various backgrounds, 12 of which had previous experience of using a smartphone for grocery shopping. Content analysis was carried out to produce 13 themes relating to the mobile grocery shopping acceptance. Based on the result from the thematic analysis and existing literature, a questionnaire was designed and launched. Three hundred valid responses were collected, including 150 purchasers and 150 non-purchasers. Statistical techniques such as factor analysis and multiple-regression analysis were used to analyse the survey data. Results from the quantitative study suggested there were 7 factors affecting shoppers’ decision to use smartphones for grocery shopping, while purchaser and non-purchaser models showed a different pattern. In parallel, the study also identified factors affecting mobile grocery shopping satisfaction and customer loyalty. Drawing together these findings, the thesis helps grocers to understand their mobile channel customer in a wider angle. It also provides managerial applications to improve both customer experience and digital strategy.

by Leung Wing Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 73-75). / Abstract --- p.i / Acknowledgements --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Background --- p.7 / Chapter 2.1 --- What is Mobile Computing? --- p.7 / Chapter 2.1.1 --- Applications of Mobile Computing --- p.8 / Chapter 2.1.2 --- New Challenges of Mobile Computing --- p.9 / Chapter 2.2 --- Related Work --- p.12 / Chapter 2.2.1 --- Lazy Replicated File Service --- p.12 / Chapter 2.2.2 --- Dividing the Database into Clusters --- p.14 / Chapter 2.2.3 --- Applying Causal Consistency --- p.15 / Chapter 2.3 --- Summary --- p.16 / Chapter 2.4 --- Serializability and Concurrency Control --- p.17 / Chapter 3 --- System Model and Suggested Protocol --- p.20 / Chapter 3.1 --- System Model --- p.20 / Chapter 3.2 --- Cache Management --- p.21 / Chapter 3.2.1 --- Version Control Mechanism --- p.22 / Chapter 3.2.2 --- Cache Consistency --- p.22 / Chapter 3.2.3 --- Request Data from Servers --- p.25 / Chapter 3.2.4 --- Invalidation Report --- p.27 / Chapter 3.2.5 --- Data Broadcasting --- p.30 / Chapter 4 --- Simulation Study --- p.32 / Chapter 4.1 --- Physical Queuing Model --- p.32 / Chapter 4.2 --- Logical System Model --- p.33 / Chapter 4.3 --- Parameter Setting --- p.34 / Chapter 4.4 --- The Significance of the Length of Invalidation Range --- p.37 / Chapter 4.4.1 --- Performance with Different Invalidation Range --- p.38 / Chapter 4.4.2 --- Increasing the Update Frequency --- p.40 / Chapter 4.4.3 --- Impact of Piggybacking Popular Data --- p.41 / Chapter 4.4.4 --- Increasing the Disconnection Period --- p.42 / Chapter 4.5 --- Comparison of the Proposed Protocol with the Amnesic Terminal Protocol --- p.44 / Chapter 4.5.1 --- Setting a Short Timeout Period --- p.45 / Chapter 4.5.2 --- Extending the Timeout Period --- p.46 / Chapter 4.5.3 --- Increasing the Frequency of Temporary Disconnection --- p.48 / Chapter 4.5.4 --- Increasing the Frequency of Crossing Boundaries --- p.49 / Chapter 4.6 --- Evaluate the Performance Gain with Piggybacking Message --- p.50 / Chapter 4.6.1 --- Adding Piggybacking Messages --- p.51 / Chapter 4.6.2 --- Reducing the Number of Popular Data --- p.52 / Chapter 4.6.3 --- Increasing the Frequency of Updates --- p.53 / Chapter 4.7 --- Behaviour of the Proposed Protocol --- p.54 / Chapter 4.7.1 --- Finding Maximum Number of Mobile Computers --- p.54 / Chapter 4.7.2 --- Interchanging the Frequency of Read-Only and Update Transactions --- p.55 / Chapter 5 --- Partially Replicated Database System --- p.57 / Chapter 5.1 --- Proposed Amendments --- p.57 / Chapter 5.1.1 --- Not Cache Partially Replicated Data ( Method 1 ) --- p.58 / Chapter 5.1.2 --- Drop Partially Replicated Data ( Method 2 ) --- p.59 / Chapter 5.1.3 --- Attaching Server-List ( Method 3 ) --- p.59 / Chapter 5.2 --- Experiments and Interpretation --- p.60 / Chapter 5.2.1 --- Partially Replicated Data with High Accessing Probability --- p.61 / Chapter 5.2.2 --- Reducing the Cache Size --- p.64 / Chapter 5.2.3 --- Partially Replicated Data with Low Accessing Probability --- p.65 / Chapter 6 --- Conclusions and Future Work --- p.70 / Chapter 6.1 --- Future Work --- p.72 / Bibliography --- p.73 / Chapter A --- Version Control Mechanism for Servers --- p.76

Abstract not available

Geographic Information Systems (GIS) a computerized mapping system for capturing, storing, retrieving, analysing, and displaying spatial data (the type of data that has a geographic location). It is one of the fastest growing high tech fields and has been widely used in my areas where analysis of spatial referenced data is needed. In this paper we developed and implemented a GIS-based personalized Travel Planning application. Our goal is to provide a map based information system that gives recommendation information (e.g. closeby sights, must-see sights) to travellers according to their destinations, locations and preferences. Furthermore, the TP application was developed as a client-side service under the Tourist Information Provider System. It runs on client machines and uses the spatial referenced data stored at the TIP server-side database.

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

<p>The study is concerned with how the hane effects on matching on mobile terminal antennas.</p>

Thesis (M.S.)--University of Florida, 2001. / Title from first page of PDF file. Document formatted into pages; contains ix, 65 p.; also contains graphics. Vita. Includes bibliographical references (p. 63-64).

Thesis (M.S.)--Georgia State University, 2004. / Title from title screen. Sushil K. Prasad, committee chair; Anu Bourgeois, Alex Zelikovsky, committee members. Description based on contents viewed Feb. 26, 2007. Includes bibliographical references (p. 55-59). Source code: p. 75-123.