Shikun Zhou

A two year case study: Technology Assisted Project Supervision (TAPaS)

Abstract During their final year undergraduate project a student may feel under-supported, stressed or isolated. In an internally funded project we set out to investigate the benefits of using a diverse blend of collaboration and communication tools alongside traditional methods of final year project supervision. We established separate formal and informal communication channels between the supervisor and their project students and a community of practice of students and supervisors was set up using twitter or a web forum. Using a wiki as a collaborative workspace and repository, student project pages were created and virtual supervision was blended with face-to-face supervision using electronic logs. At first some students were dubious about our approach and disapproved of at least one of the tools used. The supervisors were also initially sceptical of an increase in workload due to the multiplicity of tools used. In this paper we present how the staff and students benefited precisely because of the diverse range of tools used. The methods used resulted in transparency of students’ and supervisors’ actions, however, lessons were learnt about how to address student concerns about plagiarism in such an open environment.

SCADA system security, complexity, and security proof

Modern Critical infrastructures have command and control systems. These command and control systems are commonly called supervisory control and data acquisition (SCADA). In the past, SCADA system has a closed operational environment, so these systems were designed without security functionality. Nowadays, as a demand for connecting the SCADA system to the open network growths, the study of SCADA system security is an issue. A key-management scheme is critical for securing SCADA communications. Numerous key-management structures for SCADA also have been suggested. 11770-2 Mechanism 9 Key establishment Protocol has been used in SCADA communication however a security proof for the 11770-2 Mechanism 9 protocol is needed. The purpose of this paper is to provide a general overview about SCADA system, and its related security issues. Furthermore, we try to investigate the importance of key management protocol and the need of formal security poof.

Email Reply Prediction: A Machine Learning Approach

Email has now become the most-used communication tool in the world and has also become the primary business productivity applications for most organizations and individuals. With the ever increasing popularity of emails, email over-load and prioritization becomes a major problem for many email users. Users spend a lot of time reading, replying and organizing their emails. To help users organize and prioritize their email messages, we propose a new framework; email reply prediction with unsupervised learning. The goal is to provide concise, highly structured and prioritized emails, thus saving the user from browsing through each email one by one and help to save time. In this paper, we discuss the features used to differentiate emails, show promising initial results with unsupervised machine learning model, and outline future directions for this work.

Evolving email clustering method for email grouping: A machine learning approach

This paper presents the design and implementation of a new system to manage email messages using email evolving clustering method with unsupervised learning approach to group emails base on activities found in the email messages, namely email grouping. Users spend a lot of time reading, replying and organizing their emails. To help users organize their email messages, we propose a new framework to help organise and prioritize email better. The goal is to provide highly structured and prioritized emails, thus saving the user from browsing through each email one by one and help to save time.

Distributed Surveillance System for Business Economic and Information Management

Recent developments in computer and image processing technology have led to the expansion of several automatic surveillance systems. This paper describes a general, scalable, and distributed framework monitoring model for real-time video-analysis intended for research, prototyping and especially, for business economic purposes. The architecture of the system considers multiple cameras and is based on a server/client model. System modules can be connected in different ways, therefore achieving more flexibility. Three main design criteria’s have been considered 1- low computational cost 2- easy component integration, 3-sensors grouping. The experimental results show the potential use of the proposed system.

Business intelligence feedings on pervasive computing: An overview of XBRL

This paper presents the first stage of our proposed research work, i.e., integrating a business reporting language into pervasive computing processes and products. In general, our first stage is to identify and review one of the key business reporting languages, namely, Extensible Business Reporting Language (XBRL) and discuss an integrating XBRL into pervasive computing fields. XBRL is an emerging standard based on XML technology, particularly to streamline a diversification of financial information throughout the world for globalised stakeholders. This paper gives an overview and discusses potential of using XBRL for pervasive computing, as well as strengthening XBRL using smart computing technologies, bridging gaps between financial requirements and pervasive computing productions. Furthermore, current development of relevant intelligent computing technologies especially semantic web is investigated, identified and developed to assist XBRL for a more automated manner and to enhance usability of XBRL for both business users and pervasive computing researchers.

Integrating business policy into system engineering processes using ontology

Business policy reflects way too many things not only restricting what the company should do but also predicting the future direction of the company. It is desirable that the description of business policy can be interchangeable between business descriptions and engineering specifications so that the rules can be integrated into engineering process without further misinterpreting and conflicting. This paper presents our initiatives of a work to investigate and identify suitable ontologies, as well as suitable ontology alignment framework. A set or sets of formal vocabulary will be developed across various ontologies to specify business policy in a way that different levels of business managers, business people and technical people especially engineers can exchange and share business rules without misinterpreting and inconsistency.

Email Grouping and Summarization: An Unsupervised Learning Technique

This paper presents the design and implementation of a system to group and summarize email messages. The system exploits the subject and content of email messages to classify emails based on users’ activities and auto generate summaries of each incoming messages. Our framework solves the problem of email overload, congestion, difficulties in prioritizing and successfully processing of contents of new incoming messages and difficulties in finding previously archived messages in the mail box by providing a system that groups emails based on users’ activities, and providing summaries of emails.

Email reply prediction: Unsupervised leaning approach

With the ever increasing popularity of emails, email over-load and prioritization becomes a major problem for many email users. Users spend a lot of time reading, replying and organizing their emails. To help users organize their email messages, we propose a new framework to help organised and prioritized email better; email reply prediction. The goal is to provide concise, highly structured and prioritized emails, thus saving the user from browsing through each email one by one and help to save time. In this paper, we discuss the features used to differentiate emails, show promising initial results with unsupervised machine learning model, and outline future directions for this work.