MODELING OF OIL SPILLS IN THE GANH-RAI GULF FOR THE PLAN OF COASTAL ENVIRONMENTAL MANAGEMENT

Joint Research on Environmental Science and Technology for the Eart

Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches

Software Vulnerabilities (SVs) can expose software systems to cyber-attacks, potentially causing enormous financial and reputational damage for organizations. There have been significant research efforts to detect these SVs so that developers can promptly fix them. However, fixing SVs is complex and time-consuming in practice, and thus developers usually do not have sufficient time and resources to fix all SVs at once. As a result, developers often need SV information, such as exploitability, impact, and overall severity, to prioritize fixing more critical SVs. Such information required for fixing planning and prioritization is typically provided in the SV assessment step of the SV lifecycle. Recently, data-driven methods have been increasingly proposed to automate SV assessment tasks. However, there are still numerous shortcomings with the existing studies on data-driven SV assessment that would hinder their application in practice. This PhD thesis aims to contribute to the growing literature in data-driven SV assessment by investigating and addressing the constant changes in SV data as well as the lacking considerations of source code and developers’ needs for SV assessment that impede the practical applicability of the field. Particularly, we have made the following five contributions in this thesis. (1) We systematize the knowledge of data-driven SV assessment to reveal the best practices of the field and the main challenges affecting its application in practice. Subsequently, we propose various solutions to tackle these challenges to better support the real-world applications of data-driven SV assessment. (2) We first demonstrate the existence of the concept drift (changing data) issue in descriptions of SV reports that current studies have mostly used for predicting the Common Vulnerability Scoring System (CVSS) metrics. We augment report-level SV assessment models with subwords of terms extracted from SV descriptions to help the models more effectively capture the semantics of ever-increasing SVs. (3) We also identify that SV reports are usually released after SV fixing. Thus, we propose using vulnerable code to enable earlier SV assessment without waiting for SV reports. We are the first to use Machine Learning techniques to predict CVSS metrics on the function level leveraging vulnerable statements directly causing SVs and their context in code functions. The performance of our function-level SV assessment models is promising, opening up research opportunities in this new direction. (4) To facilitate continuous integration of software code nowadays, we present a novel deep multi-task learning model, DeepCVA, to simultaneously and efficiently predict multiple CVSS assessment metrics on the commit level, specifically using vulnerability-contributing commits. DeepCVA is the first work that enables practitioners to perform SV assessment as soon as vulnerable changes are added to a codebase, supporting just-in-time prioritization of SV fixing. (5) Besides code artifacts produced from a software project of interest, SV assessment tasks can also benefit from SV crowdsourcing information on developer Question and Answer (Q&A) websites. We automatically retrieve large-scale security/SVrelated posts from these Q&A websites. We then apply a topic modeling technique on these posts to distill developers’ real-world SV concerns that can be used for data-driven SV assessment. Overall, we believe that this thesis has provided evidence-based knowledge and useful guidelines for researchers and practitioners to automate SV assessment using data-driven approaches.Thesis (Ph.D.) -- University of Adelaide, School of Computer Science, 202

A multi-dimensional free market and income inequality in developing Asia: How does the quality of governance matter?

This paper empirically examines how a free market, a governance quality, and their interaction simultaneously affect income inequality in 23 Asian developing countries over the period 2000-2019. Especially, different dimensions of a free market proxied by various components of economic freedom are analysed. Results show that the overall economic freedom and three of its components including labour freedom, trade freedom, and investment freedom reduce income inequality; but other components including business freedom, monetary freedom, and financial freedom widen income inequality. Meanwhile, the governance quality not only decreases income inequality, but also intensifies the beneficial impacts of the overall economic freedom and those respective components of economic freedom on income equality. Notably, at certain thresholds of governance quality, the detrimental impacts of business freedom, monetary freedom, and financial freedom on income equality turn into the advantageous ones. The findings consolidate the appropriate combination of free market with specific dimensions and the governance quality in boosting the equality of income distribution in Asian developing countries

The Role of Compost Pile Turning for Improving Performance of Composting

『大阪大学大学院工学研究科環境・エネルギー工学専攻生物圏環境工学領域 研究活動報告』, (2007.4.1～2008.3.31), pp.51～58, 大阪大学大学院工学研究科環境・エネルギー工学専攻環境資源・材料学講座生物圏環境工学領域, 2008.6 に掲

Ecological Engineering and Restoration of Eroded Muddy Coasts in South East Asia: Knowledge Gaps and Recommendations

Ecological engineering (EE) was employed for developing strategies for stabilizing eroded muddy coasts (EMCs). However, there was a limited analysis of these EE strategies with respect to design, performance, and lessons learned. This study employed a critical review for addressing the limitations. There were four EE models designed with different restoration interventions for stabilizing EMCs. The models using active interventions have not been cost-effective in controlling erosion because the interventions failed to achieve their goals or were costly and unnecessary. Of the two passive intervention models, the one with structures constructed from onshore proved to be more cost-effective in terms of construction costs, the survival rate of transplanted seedlings, and levels of sea mud accumulation. Interventions with adequate consideration of the muddy coastal ecological processes and the ecological reasoning for the positioning of these interventions play a crucial role in stabilizing EMCs. A passive restoration model using gradually expanded interventions should be promoted in order to ensure sustainable management of EMCs in the future

STIRLING ENGINE: FROM DESIGN TO APPLICATION INTO PRACTICE AND EDUCATION

Stirling motor is a type of outside ignition heat motor that can utilize various fuel sources from customary structures (coal, oil, kindling, rice husk, and so forth) to sustainable power sources (sun-oriented energy), climate, squander heat usage, and so forth). The article centers around introducing the fundamental highlights of the improvement history, activity qualities, and plan techniques for certain sorts of Stirling motors, in this way offering useful appropriateness as well as a college preparing for understudies. The understudy studying Thermal Engineering in our nation today.  

Knowledge sharing in virtual teams: A research in information technology companies in Vietnam

Nowadays, virtual teams bring both benefits and drawbacks to companies, especially to information technology companies. Improving virtual team performance is a requisite to speed up the development of information technology companies. This article conducts quantitative research on virtual team members in Vietnam’s information technology companies to investigate the relationships between social capital, risk of opportunistic behaviors, knowledge sharing, and team performance in the situation of virtual teams. The study uses SPSS and AMOS to analyze data collected from 268 valid samples. We find out a reliable 15-variable scale which can be used to measure structural social capital, cognitive social capital, rational social capital, risk of opportunistic behaviors, knowledge sharing and virtual team performance. The results show the positive effects of structural social capital and cognitive social capital on knowledge sharing and virtual team performance. The findings also reveal the negative effects of risk of opportunistic behaviors on knowledge sharing and virtual team performance and a positive correlation between knowledge sharing and virtual team performance. This article can be used as a reference for managers to build solutions for improving virtual team performance in information technology companies in Vietnam

No Evidence for Evolution in the Far-Infrared-Radio Correlation out to z ~ 2 in the eCDFS

We investigate the 70 um Far-Infrared Radio Correlation (FRC) of star-forming galaxies in the Extended Chandra Deep Field South (ECDFS) out to z > 2. We use 70 um data from the Far-Infrared Deep Extragalactic Legacy Survey (FIDEL), which comprises the most sensitive (~0.8 mJy rms) and extensive far-infrared deep field observations using MIPS on the Spitzer Space Telescope, and 1.4 GHz radio data (~8 uJy/beam rms) from the VLA. In order to quantify the evolution of the FRC we use both survival analysis and stacking techniques which we find give similar results. We also calculate the FRC using total infrared luminosity and rest-frame radio luminosity, qTIR, and find that qTIR is constant (within 0.22) over the redshift range 0 - 2. We see no evidence for evolution in the FRC at 70 um which is surprising given the many factors that are expected to change this ratio at high redshifts.Comment: 18 pages, 13 figures. Accepted for publication in Ap