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Multicasting is a necessity for a broadband metro‐area‐network. Discusses the security problems with current multicast protocols. To make the multicast delivery infrastructure more secure and reliable, a stateful multicast access control mechanism, based on MAPE, is proposed. This mechanism expands the current forwarding procedure of a layer 2 switch so that stateful multicast access control can be carried out at the very edge of the metro area network. The architecture of MAPE is discussed in detail, as well as the states maintained and messages exchanged. Further explains that the scheme is flexible and scalable.

The purpose of this paper is to explore the evolvement of investors’ behavior in stock market dynamically on the basis of non-cooperative strategy applied by investors in complex networks.

Using modeling and simulation research method, this study designs and conducts a mathematical modeling and its simulation experiment of financial market behavior according to research’s basic norms of complex system theory and methods. Thus the authors acquire needed and credible experimental data.

The conclusions drawn in this paper are as follows. The dynamical evolution of investors’ trading behavior is not only affected by the stock market network structure, but also by the risk dominance degree of certain behavior. The dynamics equilibrium of trading behavior’s evolvement is directly influenced by the risk dominance degree of certain behavior, connectivity degree and the heterogeneity of the stock market networks.

This paper focuses on the dynamical evolvement of investors’ behavior on the basis of the hypothesis that common investors prefer to mimic their network neighbors’ behavior through different analysis by the strategy of anti-coordination game in complex network. While the investors’ preference and the beliefs among them are not easy to quantify, that is deterministic or stochastic as the environment changes, and is heterogeneous definitely. Thus, these limitations should be broken through in the future research.

This paper aims to address the dynamical evolvement of investors’ behavior in stock market networks on the principle of non-cooperative represented by anti-coordination game in networks for the first time, considering that investors prefer to mimic their network neighbors’ behavior through different analysis by the strategy of differential choosing in every time step. The methodology designed and used in this study is a pioneering and exploratory experiment.

This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.

The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method.

A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics.

To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.

The study aims at enriching the existing cooperative education sector in Thailand. Adequate cooperative education has direct impacts upon graduates’ future professional development, employability and enhanced professional skills. The cooperative education framework in Thailand is relatively a recent concept and lacks detailed research.

The methodology adopted in this study is mixed-method, inclusive of qualitative methodology where data were collected through key informant interviews and; quantitative methodology involving survey questionnaires with a sample of 350 respondents. The data analysis included the quantitative analysis with Chi-square and excerpts from the key informant interview respondents. Additional strength, weakness, opportunity and threat analysis is performed to provide for gaps at various levels of cooperative education and the potential opportunities to the graduates in Thailand.

The findings depict a lack of legal framework for effective skill development, uncertain moral and physical security of the interns and absence of legal rights for interns, minimal support and assistance from the government sector, reduced future employability and insufficient financial resources among poorer students.

Lack of student and cooperative database with the government departments.

The Thai Qualification Framework has been adopted in a majority of universities, however, the quality assurance does not cover the student’s perspectives, financial and social limitations towards attending the cooperative education.

With enhanced vulnerabilities due to the Covid-19 pandemic, adverse impacts are analysed and recommendations are provided for enhancing cooperative education opportunities towards students.

This research aims to understand the perspectives of the students who graduated with cooperative education and are currently working professionals.