The purpose of Presentations World Wide System (PWWS) is to allow students to view a live presentation through an Internet browser and allow the instructor to have control over the presentation.

The scope of this project describes World Wide Graphics (WWG) a software package that provides instructors with the tools needed to present a web-based presentation to a group of students while having the ability of enhancing the prepared HTML slide with userdrawn graphics and highlighting.

Wireless is an important part of the future and utilizing the wireless technology in project management is a great tool. This project is a messaging system designed using WAP and Java Server pages, as both of them are the technologies of the future. The project puts together a tool to help in project management made with the use of Java Server Pages and MySQL as the backend database. It uses Wireless Markup Language as the basic language for the cellular phones and the hand held wireless devices. The prototype has been modeled on project planning for power plants done by Asea Brown Boveri, Ltd.

The project, Spider III, presents architecture and protocol of a multi-agent-based internet distributed computing system, which provides a convenient development and execution environment for transparent task distribution, load balancing, and fault tolerance. Spider is an on going distribution computing project in the Department of Computer Science, California State University San Bernardino. It was first proposed as an object-oriented distributed system by Han-Sheng Yuh in his master's thesis in 1997. It has been further developed by Koping Wang in his master's project, of where he made large contribution and implemented the Spider II System.

The sales representatives primary duties are to attract wholesale and retail buyers and purchasing agents to their merchandise, and to address any of their client's questions or concerns. Aided by a laptop computer connected to the Internet, they can access the customer information and sell products to their customer immediately. This project, a Mobile Order Entry System using cellphones, will give sales representatives as state-of-the-art alternative in accessing anf selling products to their customers through cell phones instead of using laptop computers.

The algorithms which control network routing are specific to the network because the algorithms are designed to take advantage of that network's topology. The "goodness" of a network includes such criteria as a simple routing algorithm and a simple routing algorithm would increase the use of the shuffle-exchange network.

Thesis (M.A. (Communication Studies)) -- University of Limpopo, 2020 / The purpose of this study was to assess the Integrated Marketing Communication (IMC) strategies used by the University of Limpopo’s Marketing and Communication, Student Recruitment division. The study focuses on the use of IMC strategies including direct marketing, which includes marketing through branding, face- to -face interaction with customers and other elements including advertising. The other aspect of the marketing strategy is digital communication, which includes social media and web marketing that the university uses to market themselves to their prospective students. The use of marketing strategies by higher institutions of learning was addressed in the literature review and the importance of implementing the strategies was also discussed. The study focused further on direct marketing and digital communication strategies following low student number enrolments in 2016, especially in the faculties of Science and Agriculture, as well as in Management and Law. The study examined the way in which the university presents and sells itself, promotes its services and maintains the relationship between students, both international and domestic. In this work, IMC strategies were explained and outlined for understanding, which allows for proper implementation of the strategies. The use of General Systems Theory (GST) served as a theoretical outline for this study to highlight the importance of marketing strategies that operate in a systematic way. The use of GST also advocated for the implementation of marketing strategies as a system. The theory was able to link both IMC strategies and the organisation of higher learning, wherein IMC is a system itself. There are elements of IMC that work together to create a system in an organisation. GST supports education as it was stated that educational institutions deal with marketing strategies which, need to be approached in a systematic way (Buckey, 1968). Institutions of higher learning are composed of many systems, which should not be viewed as individual, separate units, but as contributing parts to the effective functioning of the whole marketing strategy. The research design utilised grounded theory for philosophical methodological underpinning. The data was collected through semi-structured interviews taken from nine, (9) high school leaners from Zimbabwe and South Africa. International high v school participants were attending an exhibition in different places in Zimbabwe, such as Harare (Gateway High School). In South Africa, data was collected from different areas, such as Capricorn, Vhembe, Mopanae and Blouberg in Limpopo province. Branding and the use of social media was also a concern. Most participants concluded that the university needs to upgrade its marketing strategies and focus more on the digital communication as teenagers spend time on their digital devices, which can be helpful in accessing the information they need.

Mathematical optimization is applicable to nearly every scientific discipline. This thesis specifically focuses on optimization applications to digital communications and signal processing. Within the digital communications framework, the channel encoder attempts to encode a message from a source (the sender) in such a way that the channel decoder can utilize the encoding to correct errors in the message caused by the transmission over the channel. Low-density parity-check (LDPC) codes are an especially popular code for this purpose. Following the channel encoder in the digital communications framework, the modulator converts the encoded message bits to a physical waveform, which is sent over the channel and converted back to bits at the demodulator. The modulator and demodulator present special challenges for what is known as the two-antenna problem. The main results of this work are two algorithms related to the development of optimization methods for LDPC codes and the two-antenna problem. Current methods for optimization of LDPC codes analyze the degree distribution pair asymptotically as block length approaches infinity. This effectively ignores the discrete nature of the space of valid degree distribution pairs for LDPC codes of finite block length. While large codes are likely to conform reasonably well to the infinite block length analysis, shorter codes have no such guarantee. Chapter 2 more thoroughly introduces LDPC codes, and Chapter 3 presents and analyzes an algorithm for completely enumerating the space of all valid degree distribution pairs for a given block length, code rate, maximum variable node degree, and maximum check node degree. This algorithm is then demonstrated on an example LDPC code of finite block length. Finally, we discuss how the result of this algorithm can be utilized by discrete optimization routines to form novel methods for the optimization of small block length LDPC codes. In order to solve the two-antenna problem, which is introduced in greater detail in Chapter 2, it is necessary to obtain reliable estimates of the timing offset and channel gains caused by the transmission of the signal through the channel. The timing offset estimator can be formulated as an optimization problem, and an optimization method used to solve it was previously developed. However, this optimization method does not utilize gradient information, and as a result is inefficient. Chapter 4 presents and analyzes an improved gradient-based optimization method that solves the two-antenna problem much more efficiently.

Members of society today embrace multiple communication media for various purposes and intents. Text messaging has been identified as the medium of choice for continual relationship maintenance and text messaging from mobile devices overshadows all other media forms for the support of social connections. Text messaging is changing everything from how operators market their plans to how advertisers and service providers reach consumers. But just as technology usage of social media and internet access are different across generational boundaries, text messaging usage and habits may also be different for various generational groups. The majority of peer-reviewed research regarding text messaging usage habits has focused on adolescent and young adult users with less attention on text messaging usage habits by older adults; there is a scarcity of peer-reviewed research examining cross-generation text messaging habits and texting usage patterns. The primary goal of this study was to assess the similarities and differences in text messaging usage habits, purposes, and support of social connections differentiated by five of the commonly designated generational groups in America; the Post-War Silent Generation, Baby Boomers, Generation X, Millennials, and Generation Z. A mixed methods study provided data on the text messaging usage habits of members of the generational groups using a pool of adult college students, members of the researcher’s LinkedIn network, and data from a survey service to determine to what extent differences and similarities exist between users’ text messaging usage habits within each generational group. Results indicated generational group membership has a significant effect on a participant’s messaging volume (UV), text messaging partner choices (TMPC), and text messaging social habits (SH), regardless of gender, education level, or employment status. The older the generational group, the more likely they are to prefer talking over texting and to have issues with the device interface. The Post-War Silent generation texts their spouses the least of any group, while Generation X texts their spouses the most, and all generational groups with the exception of Generation Z would limit texting while driving. Generational characteristics seem to have some influence over texting behaviors. Contributions to the existing body of knowledge in the human computer interaction field include an investigation of factors that contribute to each generational group’s willingness to embrace or reject the text messaging medium, and an investigation into the into how each generation views and exploits the texting medium.

It is known that a matched filter is optimal for a signal corrupted by Gaussian noise. In a wireless environment, the received signal may be corrupted by Gaussian noise and a variety of other channel disturbances: cochannel interference, multiple access interference, large and small-scale fading, etc. Adaptive filtering is the usual approach to mitigating this channel distortion. Existing adaptive filtering techniques usually attempt to minimize the mean square error (MSE) of some aspect of the received signal, with respect to the desired aspect of that signal. Adaptive minimization of MSE does not always guarantee minimization of bit error rate (BER). The main focus of this research involves estimation of the probability density function (PDF) of the received signal; this PDF estimate is used to adaptively determine a solution that minimizes BER. To this end, a new adaptive procedure called the Minimum BER Estimation (MBE) algorithm has been developed. MBE shows improvement over the Least Mean Squares (LMS) algorithm for most simulations involving interference and in some multipath situations. Furthermore, the new algorithm is more robust than LMS to changes in algorithm parameters such as stepsize and window width. / Master of Science