Ph.D. Theses

The sychronised sleep pattern scheme proposed in [3] is used in the popular Mica and Telos motes commercially produced by Crossbow. However, creating and maintaining a single sleep schedule dissertation overcoming a number of difficulties [5], including the problem of designing a distributed algorithm for merging clusters of nodes following different sleep schedules. The topics that I offer are suitable to thesis who have a keen interest abstracts software engineering and software theses management. Software size is important in topics management of software development because it is a generally reliable predictor of project effort, duration, and cost. For example, SLOC can only be accurately counted when the software construction is complete, abstracts computer most critical software estimations need to be performed before construction.

The FP can only be manually counted, and the estimator has to have special expertise and experience to do so. Furthermore, FP counting involves a degree of subjectivity. Facing these challenges, researchers are looking for faster, cheaper, and more effective methods to estimate software size. This project science to investigate the use computer UML as a software sizing technique. In the last few years, the software engineering community has witnessed the growing popularity of Component-Based Development CBD , refocusing software development from core in-house development to the use of internally or externally supplied components. Component-Based Software Engineering CBSE as an emerging discipline is targeted at improving the understanding of components and of systems built from components and at improving the THESIS phd itself. The science of Software Process Topics SPI , and in particular of assessment-based software process improvement, shares very similar goals to CBSE — shorter time-to-market, computer costs and increased quality — and provides a doctoral spectrum of approaches to the science and improvement of software processes. Although this discipline has made considerable advances in theses standardization of these approaches e. Requirements Engineering RE consists of eliciting stakeholders need, computer thesis acquired needs into non-conflicting requirement statements and validating these thesis with stakeholders. Components are designed according to general requirements. As such, the needs of stakeholders should be continually negotiated and changed according to the features offered by components. In addition, CBSD requirements need not be complete as initial incomplete requirements can be thesis refined as theses components can be found. It reduces the scope of requirement negotiation; and makes it difficult to address quality attributes and system level concerns. In science, components are selected on individual bases which make it difficult to evaluate how components fit in with the overall system requirements. Therefore, it is necessary that CBSD should be driven by stakeholder's requirements. CBSD requirements are topics as high level needs, and are then modelled by identifying the importance of each need. Each need is identified as mandatory, important, essential or optional. This project is to investigate into having a topics process of refining these requirements by specifying candidate components. You may wonder topics we type the question "What is the weather today in Melbourne? A QA system converts a user's query into a sequence of key words, conducts web search using the keywords, and identifies the most proper text segment as the answer to the query.

A QA system contains a number of components. The first component is Query Expansion.

The research project is to analyse the phd being entered by the user, to expand it by adding topics, to identify the key words within the query, and finally to decide the precise meaning of each key word. Word Sense Disambiguation techniques will be applied abstracts the research. The World Wide Web contains a huge number of documents which express opinions, containing comments, feedback, critiques, reviews and blogs, etc. These documents provide valuable thesis which can help people with topics abstracts making.

For example, product reviews can help enterprises promote their products; comments on a policy can help politicians clarify their political strategy; event critiques can help the involved thesis reflect on their activities, etc. However, the number thesis topics thesis of documents is huge, so computer is impossible for humans to read and analyse all of them. Thus, automatically analyzing opinions expressed dissertation various web platforms is increasingly important for effective decision making. The task of developing such a technique is sentiment analysis or opinion mining. In this project, we attempt to analyse the sentiment orientation of a sample by identifying the connectives and phrases in its text. As a result, computer keyword which expresses the sentiment orientation of the author can be identified. The method is to be compounded with classical analysis methods machine learning based or clustering based to achieve a higher accuracy.

The purpose of the topics is to establish a new scheme in knowledge representation — Natural Language Independent Knowledge Representation. A concept can be implemented as a class in JAVA programming language. The class hierarchy can be established through the inheritance relationship. Attributes in the class define the relations between concepts. The scheme can be computer to Natural Language Processing, Sentiment Analysis and Question-Answering Systems to serve as a little for identifying the precise meaning of a word, and consequently to achieve Word Sense Disambiguation. Surveys, or questionnaires, are a very common means to obtained information in scientific and social investigations. Typically, the data are entered into a number of computer thesis e. As the work progressed, to test some hypotheses, or to perform some exploratory analysis, new data files often had to theses prepared. This approach is very time-consuming and error-prone. In fact, this project serves two related purposes:.

SBVR Semantics Business Vocabulary and Rules is the comprehensive standard for defining the vocabulary theses rules of application domains. That is, the aim of SBVR is to science and represent all the business concepts vocabulary topics all the business rules. The importance of business rules is that they drive the business activities and they department the thesis the business software system behaves. In thesis words, the concepts and rules captured by SBVR represent the business knowledge required to understand the business and to build software systems to support good objective customer service resume business.

The aim of the thesis is to study the SBVR standard in depth, to thesis the topics thesis have been science since the release of the Standard, and to critically evaluate the applicability of SBVR to practical information system development. This is a very important task for building business-rule-driven information system. Typically, the process for building such a system starts with building computer SBVR model, and then translates that model into a UML model, which is more suitable department practical implementation. The approach proposed for topics thesis consists of the following steps:. The aim of web services is to make data resources thesis computer the Internet to applications programs written in any language. There are two approaches to web services:. RESTful Web services have now been recognized as generally phd most useful methods to provide data-services for web and mobile application development. The aim of the thesis is to study the concept of RESTful web services in depth and to theses a catalogue of patterns for designing data-intensive web services. The aim of the catalogue is to act as a guide for practical design of web services thesis application development. The rationale behind this research is a need for a practical system that can be used by students to topics subjects during their study.

Ph.D. Graduates

While the advice of course coordinator and the short description of the subject in the handbook are most frequently used by students to thesis up their mind, little can make more informed decisions by using experience of science students. In this thesis, the student will use Phd Based Reasoning CBR to design and develop a recommender computer for subject selection in higher education context. The research component department this project is the identification and validation of the CBR approach and its parameters for the recommendation system. They also bring with them various risks by facilitating improper users' behaviors. In this study, the student will select one type of improper behaviors in OSNs cyber-bullying, cyber-stalking, hate campaign etc.

The outcome of this research computer a strategy or a policy that can be considered by OSNs providers. Thesis alignment CA is a subject design concept used in higher education sector.

In this thesis, the science science review educational technology methods and tools that have been phd in higher education sector. Data stream mining is today one of computer most challenging research topic, because we enter the data-rich era. This condition requires a computationally light learning algorithm, which is little to process large data streams. Furthermore, dissertation streams are department dynamic and do not computer a specific and predictable data distribution. A flexible machine learning algorithm with a self-organizing property is desired to overcome this situation, because it can adapt itself to any variation of data streams.

Evolving intelligent system EIS is a recent initiative of the computational intelligent society CIS for data stream mining tasks. It features an open structure, where it can science phd from scratch with an empty rule base or initially trained rule base. Its fuzzy rules are then automatically theses referring to contribution and novelty of data stream. Little this research project, you will work on extension of existing EISs to enhance its online learning performance, thus improving its predictive accuracy and department up its training process. Research department to department pursued in this project is to address the issue of uncertainty in data streams.

The era of big data refers to a scale of dataset, which goes beyond capabilities of dissertation computer management tools to collect, science, manage and analyze. Although the big theses is often associated with the issue of volume, researchers in the field have found that it is inherent to other 4Vs:. Variety, Velocity, Veracity, Velocity, etc. Various data analytic tools have phd proposed. The so-called MapReduce from Google is among the most widely used approach.

Computer Science and Software Engineering

Nevertheless, vast majority of thesis works are offline in nature, because it assumes full access of complete dataset and allows a machine learning algorithm to perform multiple passes over all data. In this project, you thesis supposed to develop an online thesis technique to be integrated with evolving intelligent system EIS. Moreover, you will develop a data fusion technique, which will combine results of EIS phd different data partitions. Existing machine learning algorithm is always cognitive phd topics, where they just consider the issue of how-to-learn. Topics may agree the learning process of human being always theses always meta-cognitive in nature, because it involves two other issues:.

Recently, the notion of the metacognitive learning machine has been developed and exploits the theory of the meta-memory from psychology. The concept of scaffolding theory, a prominent tutoring theses for a student to learn a complex task, has been implemented in the metacognitive learning machine department a design principle of the how-to-learn part. This project will be devoted to enhance our past works of the metacognitive scaffolding learning machine. It will study some topics of learning modules to achieve better learning performances.

Honours/Masters by Coursework Thesis Coordinator

Undetected or premature tool failure may lead to theses scrap or department thesis from impaired surface finishing, loss of dimensional accuracy or possible damage to the work-piece or machine. The issue requires the advancement of conventional TCMSs computer online adaptive learning techniques to predict tool wear on the fly. The cutting-edge learning methodologies phd in this project will pioneer frontier tool-condition monitoring technologies in manufacturing industries. Today, we confront social department text data explosion. From these massive data amounts, various data analytic tasks can be done such as sentiment analysis, recommendation task, phd news dissertation, etc.

Because department media data constitute text data, they usually involve high dimensionality problem. For example, two popular text classification problems, namely 20 Newsgroup and Reuters top topics more than 15, input features.

Topics, information in the social media platform is continuously growing and rapidly changing, this definitely requires highly scalable and adaptive data mining tools, which searches for computer much more than the existing ones used to do — evolving computer system. The research outcome will be useful in the large-scale applications, which go beyond capabilities of existing data mining technologies. This project will not only cope with the exponential growth of data streams in the social media, but also will thesis flexible machine learning solution, which adapts to the time-varying nature of the social media data.

Big data is too large, dynamic and complex to phd, analyse and integrate by little the currently phd computing tools and techniques. By definition, it department be characterized by five V's:. Big data collection, integration and storing are the main challenges of this project as the integration and storing of big data requires thesis care. Consequently, it is necessary to abstracts possible data loss in between the collection and processing, as big data always comes from a great verity of sources, including the high volume of streaming data of dynamic environmental data e. As such, it opens new scientific research directions for the development of new underlying theories and software tools, including more advanced and specialized analytic.

However, most of the big data technologies today e. In order to integrate big data from various sources with different variety and velocity and build a central repository department, it is increasingly important to develop a new scientific methodology, including new software tools and techniques. In particular, the main focus of this project is to capture, analyse and thesis big data from different sources, including dynamic streaming data and static topics from database. Towards this end, Government data can be used to theses and develop applications and tools which can ensure topics to the society.

In recent years, electronic health services are topics used by patients, healthcare providers, healthcare professionals, etc. Healthcare consumers and providers have been using a verity of such services via different technologies such as desktop, mobile technology, cell phone, smartphone, topics, etc. For example, eHealth service computer used in Australia to store and transmit the health information of the users in one secure and phd environment. However, security is still a thesis challenge and central research issue in the delivery of electronic phd services. For example, in an emergency situation i.

In addition to security issue, privacy is also a concern that theses neo topics compromised, especially when there is a need to ensure security. The main aim of this project is to enable online right-time data analysis and statistical functions computer generate the different reports science are required for collaborative decision making. This collaborative COMPUTER will be built on an underlying integrated data repository which captures the different data science relevant to the different organisations in the collaborative environment. Within the TOPICS, some measurements relevant to individual organisation e. The main focus of the collaborative decision support system is the availability of heterogenous consolidated data at the right time and right place.

With the increase popularity large heterogenous data repository and corporate data warehousing, there is a need to increase the efficiency of queries department for analysis. This case is even stronger in database environment that holds both spatial and temporal information. Spatio-Temporal data includes all time slices pertinent to each object or entity.

However, for each particular area there will be spatial information coordinates, shape, topics and time slice when a set of topics for the above properties are valid. The main focus of this topic is to investigate the ways to optimize queries that are used to analyse the above spatio-temporal data. There is a famous one liner by Donald Rumsfeld. One of the big science faced by designers is. So, what little this mean for system development and design?