by Ng Wing-tim, Daniel, Yeung Siu-ming. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 113). / ABSTRACT --- p.iii / TABLE OF CONTENTS --- p.v / LIST OF EXHIBITS --- p.viii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Economic Background --- p.1 / PRC --- p.1 / Hong Kong --- p.3 / Basic Telecommunications Structure --- p.4 / PRC --- p.4 / Hong Kong --- p.8 / Basic Cellular Environment --- p.8 / PRC --- p.9 / Hong Kong --- p.11 / Comparisons between PRC and Hong Kong --- p.12 / Characteristics of the Cellular Market --- p.13 / PRC --- p.13 / System Summary Table --- p.16 / Chapter II. --- CELLULAR NETWORKS --- p.17 / System Growth --- p.19 / Migration to Digital Era --- p.21 / GSM --- p.21 / CDMA --- p.23 / D-AMPS --- p.24 / E-TDMA --- p.24 / Market Analysis in Selected Areas --- p.25 / Beijing --- p.26 / Shanghai --- p.29 / Guangdong Province --- p.31 / Hong Kong --- p.33 / Chapter III. --- CELLULAR TERMINAL MARKET --- p.36 / Market Potential --- p.36 / PRC --- p.36 / Hong Kong --- p.37 / Subscriber Distribution --- p.37 / PRC --- p.38 / Hong Kong --- p.38 / Subscriber Growth --- p.40 / PRC --- p.41 / Hong Kong --- p.42 / Black Market --- p.43 / PRC --- p.43 / Hong Kong --- p.44 / Roaming --- p.45 / PRC --- p.45 / Hong Kong --- p.46 / Chapter IV. --- CUSTOMERS --- p.48 / Preference --- p.48 / Consumption Trends --- p.49 / Segments --- p.50 / Subscriber Charges --- p.51 / Chapter V. --- COMPETITORS --- p.52 / Cellular Infrastructure Suppliers --- p.52 / PRC --- p.52 / Hong Kong --- p.56 / Cellular Terminal Suppliers --- p.57 / PRC --- p.57 / Hong Kong --- p.60 / Product Comparisons --- p.61 / Market Shares --- p.61 / PRC --- p.61 / Hong Kong --- p.62 / Pricing Trend --- p.63 / PRC --- p.63 / Hong Kong --- p.64 / Competition from CT2 --- p.64 / PRC --- p.64 / Hong Kong --- p.65 / Chapter VI. --- TECHNOLOGY --- p.67 / Migration to Digital Era --- p.67 / PRC --- p.67 / Hong Kong --- p.68 / New Generation on Mobile Terminal --- p.69 / PRC --- p.69 / Hong Kong --- p.70 / Chapter VII. --- ECONOMIC ENVIRONMENT --- p.71 / PRC --- p.71 / Hong Kong --- p.73 / Chapter VIII. --- LEGAL ENVIRONMENT --- p.75 / PRC --- p.75 / Migration into Deregulated Environment --- p.75 / Government Policy --- p.77 / Difficulties Encountered in Deregulation --- p.78 / Hong Kong --- p.80 / Law in Hong Kong --- p.81 / Telecom Deregulation --- p.81 / Mobile Telecommunications Service --- p.82 / Chapter IX. --- RECOMMENDATIONS FOR A NEW ENTRANT INTO THE MARKET --- p.84 / PRC --- p.84 / Type approval --- p.84 / Import --- p.86 / Distribution --- p.87 / Pricing --- p.87 / Local Production --- p.88 / Hong Kong --- p.89 / EXHIBIT --- p.90 / BIBLIOGRAPHY --- p.113

Android, a platform for smartphones and mobile devices, is becoming more and more present in the market. Nevertheless, the battery runtime of smartphones is short and strongly influenced by the network usage. Some proposals exist to reduce the energy consumption associated to the network usage and increase the smartphone runtime. But for adjusting them for a real improvement it is required to study the network utilisation triggered by the smartphone applications. With this analysis the applications communication patterns can be obtained and used to predict the network usage and the amount of data expected. In order to gather network statistics of the running applications, a logger application is implemented for the Android platform to log network statistics of running applications. The statistics are analysed on a PC computer to obtain the applications' communication patterns. A number of applications are selected, sorted by the rankings of downloads and type. A detailed analysis of the network usage is presented. This analysis identifies some of their patterns, some application characteristics and groups of applications from the determined network usage. The network usages for applications with similar functionalities are compared and lessons learnt from the analysis are discussed. Finally, some improvements for our logger application and analysis are discussed.

Ejaculated, density purified, human spermatozoa were exposed to 900 MHz GSM mobile phone radiation at two specific absorption rate levels (SAR 2.0 and 5.7 W/kg) and examined at various time points post exposure. Change in sperm mitochondrial membrane potential was analyzed using flow cytometry. Sperm motility was determined by computer assisted sperm analysis (CASA). There was no effect of 900MHz GSM radiation on mitochondrial membrane potential. This was also the case for all kinematic parameters assessed at SAR of 2.0 W/kg. However, two kinematic parameters (VSL and BCF) were statistically significantly altered after the exposure at SAR 5.7 W/kg. Effects seen cannot be ascribed to heating, as the temperature did not increase by more than 0.3ºC. A thorough investigation at lower SAR levels is required to determine the extent of the influence of RF-EMF on human sperm motility.

Abstract Ejaculated, density purified, human spermatozoa were exposed to pulsed 900 MHz GSM mobile phone radiation at two specific absorption rate levels (SAR 2.0 and 5.7 W/kg) and compared with controls over time. Change in sperm mitochondrial membrane potential was analysed using flow cytometry. Sperm motility was determined by computer assisted sperm analysis (CASA). There was no effect of pulsed 900 MHz GSM radiation on mitochondrial membrane potential. This was also the case for all kinematic parameters assessed at a SAR of 2.0 W/kg. However, over time, the two kinematic parameters straight line velocity (VSL) and beat-cross frequency (BCF) were significantly impaired (P<0.05) after the exposure at SAR 5.7 W/kg and no exposure by time interaction was present. This result should not be ascribed to thermal effects, due to the cooling methods employed in the RF chamber and temperature control within the incubator.

Human travel affects important processes in public health and infectious disease dynamics. Refined spatial and temporal data are needed to accurately model how the dynamics of human travel contribute to epidemiological patterns of disease as well as access to healthcare resources. Here, I address a number of key issues related to modeling human mobility patterns and applications for understanding the spatial spread of infectious diseases and geographic access to public health resources. Using large sources of behavioral data anonymously collected from mobile phones within two African countries, I first analyze the utility of these data to quantify human mobility patterns as well as the usefulness of common modeling frameworks. Then I compare these data to two more common sources of human travel data: the national census and a comprehensive travel survey. Next, I use these data to assess the impact of human travel on the movement of malaria parasites. The final component of my thesis focuses on the utility of this data source to generally understand the role of geographic isolation on travel patterns to better understand the disparity between areas with various levels of access to public resources and the uptake of preventative healthcare such as immunizations and antenatal care.

No

The touchscreen smartphone platform is inherently flexible, giving it the potential to meet the needs and desires of individuals diverse in age and ability. Despite universal design research efforts providing industry with guidance to address this opportunity, current designs fall short. The disconnect stems from differing priorities in design and development and opposing approaches to defining and grouping the user population. The research presented in this dissertation aims to remove these issues from the process of discovering touchscreen smartphone design opportunities. It focuses on users' prior and desired customizations rather than ability- or market-factors. Data were collected on participants' devices' out-of-the-box, current and desired device states along with related stories about their actual and desired device modifications. Template and image analyses identified patterns in the data, which also revealed an underlying structure for organizing and presenting participants' needs and desires associated with smartphone touchscreen customizations. The needs and desires suggest opportunities for industry to shift towards universal design. The structure offers an approach to addressing the gaps between the ability-centered and market-driven approaches to the design of consumer technology.

Thesis (M.A. (Translation Studies and Linguistics)) -- University of Limpopo, 2014 / Refer document

International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / This paper aims to add the information access capabilities to enable user’s mobile terminals in a wireless small satellite telemetry system. The cellular phone-centric mobile network architecture provides wireless communication link; telemetry information is provided to users in a highly personalized form according to the end-user’s range. We choose a reference system-level model of network architecture and compare its performance with common small satellite telemetry network link; evaluation results derived using a known analytical model. The result of original hypotheses, network architecture’s prototype includes both analytical performance evaluation and simulation techniques, are discussed in detail.

by Kwok Ming Shan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 102-[109]). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Cellular Radio Systems --- p.3 / Chapter 1.2 --- Code Division Multiple Access (CDMA) --- p.7 / Chapter 1.2.1 --- Direct Sequence CDMA (DS-CDMA) --- p.8 / Chapter 1.2.2 --- Frequency Hopping CDMA (FH-GDMA) --- p.11 / Chapter 1.2.3 --- Time Hopping CDMA (TH-CDMA) --- p.12 / Chapter 1.3 --- Propagation Characteristics --- p.12 / Chapter 1.3.1 --- Signal Strength Prediction - Path Loss --- p.13 / Chapter 1.3.2 --- Signal Variability --- p.17 / Chapter 1.3.3 --- Delay Spread --- p.23 / Chapter 1.3.4 --- Coherence Bandwidth --- p.23 / Chapter 1.4 --- Power Control in Cellular Radio Systems --- p.24 / Chapter 1.4.1 --- Centralized Power Control --- p.24 / Chapter 1.4.2 --- Distributed Power Control --- p.25 / Chapter 1.4.3 --- CDMA Power Control --- p.29 / Chapter 2 --- Contributions --- p.39 / Chapter 3 --- ACI Analysis of the Reverse-Link --- p.41 / Chapter 3.1 --- Adjacent Cell Interference --- p.42 / Chapter 3.2 --- Adjacent Cell Interference Analysis --- p.43 / Chapter 3.2.1 --- Interference Analysis of Hexagonal Cells --- p.43 / Chapter 3.2.2 --- Interference Analysis of Circular Cell Structure --- p.47 / Chapter 3.3 --- Closed-form of Adjacent Cell Interference --- p.51 / Chapter 3.4 --- Generalization to Irregular Cell Structure --- p.54 / Chapter 3.5 --- Conclusions --- p.57 / Chapter 4 --- ACI Analysis of Reverse-Link with Log-normal Shadowing --- p.59 / Chapter 4.1 --- Interference with Shadowing --- p.59 / Chapter 4.2 --- Conclusions --- p.66 / Chapter 5 --- ACI Analysis of Microcell --- p.68 / Chapter 5.1 --- Propagation Characteristics of Microcellular Radio Systems --- p.69 / Chapter 5.2 --- CDMA Microcellular Radio Systems --- p.70 / Chapter 5.3 --- Results and Discussions --- p.74 / Chapter 5.4 --- Conclusions --- p.76 / Chapter 6 --- Outage Probability Analysis of Imperfect Power Control --- p.77 / Chapter 6.1 --- Fast Fading of Signal --- p.78 / Chapter 6.2 --- Imperfect Power Control in CDMA --- p.81 / Chapter 6.3 --- Conclusions --- p.85 / Chapter 7 --- Conclusions --- p.88 / Chapter 8 --- Examples of CDMA Cellular Radio Systems --- p.91 / Chapter 8.1 --- Qualcomm CDMA system --- p.91 / Chapter 8.1.1 --- Forward-link --- p.92 / Chapter 8.1.2 --- Reverse-link --- p.93 / Chapter 8.1.3 --- Reverse-Link Open-Loop Power Control --- p.94 / Chapter 8.1.4 --- Reverse-Link Closed-Loop Power Control --- p.95 / Chapter 8.1.5 --- Forward-Link Power Control --- p.96 / Chapter 8.2 --- Interdigital Broadband CDMA System --- p.96 / Appendix --- p.97 / Chapter A --- Derivation of the PDF of the fast fading signal power --- p.97 / Chapter B --- Derivation of the Mean-to-standard deviation ratio --- p.98 / Chapter C --- Acronyms --- p.100 / Bibliography --- p.102