Yes / Industry 4.0 promotes highly automated mechanisms for setting up and operating flexible manufacturing systems, using distributed control and data-driven machine intelligence. This paper presents an approach to reconfiguring distributed production systems based on complex product requirements, combining the capabilities of the available production resources. A method for both checking the “realisability” of a product by matching required operations and capabilities, and adapting resources is introduced. The reconfiguration is handled by a multi-agent system, which reflects the distributed nature of the production system and provides an intelligent interface to the user. This is all integrated with a self-adaptation technique for learning how to improve the performance of the production system as part of a reconfiguration. This technique is based on a machine learning algorithm that generalises from past experience on adjustments. The mechanisms of the proposed approach have been evaluated on a distributed robotic manufacturing system, demonstrating their efficacy. Nevertheless, the approach is general and it can be applied to other scenarios. / This work was supported by the SURE Research Projects Fund of the University of Bradford and the European Commission (grant agreement no. 314762). / Research Development Fund Publication Prize Award winner, Nov 2022

Yes / A set of shallow-water equations (SWEs) based on a k-epsilon Reynold stress model is established to simulate the turbulent flows over a complex roughness bed. The fundamental equations are discretized by the second-order finite-difference method (FDM), in which spatial and temporal discretization are conducted by staggered-grid and leap-frog schemes, respectively. The turbulent model in this study stems from the standard k-epsilon model, but is enhanced by replacing the conventional vertical production with a more rigorous and precise generation derived from the energy spectrum and turbulence scales. To verify its effectiveness, the model is applied to compute the turbulence in complex flow surroundings (including a rough bed) in an abrupt bend and in a natural waterway. The comparison of the model results against experimental data and other numerical results shows the robustness and accuracy of the present model in describing hydrodynamic characteristics, especially turbulence features on the complex roughness bottom. / National Key Research and Development Program of China (Grant No: 2016YFE0122500, 2013CB036401 and 2013CB036402), China Postdoctoral Science Foundation (Grant No: 2016M591184) and Programme of Introducing Talents of Discipline to Universities (Grant No: BC2018038) / Research Development Fund Publication Prize Award winner, June 2019.

Yes / Surgical smoke removal algorithms can improve the quality of intra-operative imaging and reduce hazards in image-guided surgery, a highly desirable post-process for many clinical applications. These algorithms also enable effective computer vision tasks for future robotic surgery. In this paper, we present a new unsupervised learning framework for high-quality pixel-wise smoke detection and removal. One of the well recognized grand challenges in using convolutional neural networks (CNNs) for medical image processing is to obtain intra-operative medical imaging datasets for network training and validation, but availability and quality of these datasets are scarce. Our novel training framework does not require ground-truth image pairs. Instead, it learns purely from computer-generated simulation images. This approach opens up new avenues and bridges a substantial gap between conventional non-learning based methods and which requiring prior knowledge gained from extensive training datasets. Inspired by the Generative Adversarial Network (GAN), we have developed a novel generative-collaborative learning scheme that decomposes the de-smoke process into two separate tasks: smoke detection and smoke removal. The detection network is used as prior knowledge, and also as a loss function to maximize its support for training of the smoke removal network. Quantitative and qualitative studies show that the proposed training framework outperforms the state-of-the-art de-smoking approaches including the latest GAN framework (such as PIX2PIX). Although trained on synthetic images, experimental results on clinical images have proved the effectiveness of the proposed network for detecting and removing surgical smoke on both simulated and real-world laparoscopic images. / Research Development Fund Publication Prize Award winner, November 2019.

В нашей дипломной работе рассматривается феномен self-publishing как способ самостоятельного издания публикации, отражаются его история в России и в мире, виды self-publishing, принцип работы платформы Amazon. Таким образом, проводится практическое исследование публикаций на Amazon, выделяются основные характеристики наиболее продаваемых книг, что позволило нам сделать выводы о критериях успешности публикации. / The diploma paper examines the phenomenon of self-publishing as a way of independent publishing, reflects its history in Russia and in the world, types of self-publishing, the principle of publishing on Amazon. Thus, a practical study of publications on Amazon is carried out, the main characteristics of the best-selling books are highlighted, which allowed us to draw the conclusions about the criteria for publication success.

The Vietnamese science and high education system plays a major role in the country’s social and economical development. Due to a mixed influence of international education systems, the contribution of the Vietnamese research to the international scientific landscape is still modest. Over the past decades, the most scientific programmes focused mostly on rather theoretical sciences and less on applied sciences. The results are reflected by a rather low rate of international publications on experimental science. Together with the country’s efforts on the efficient use of natural resources, there is an urgent demand for strengthening the scientific activity on environmental sciences. The new Journal of Vietnamese Environment was created to respond to the increasing interest in environmental research. The journal was founded as part of an academic network initiated by the Dresden University of Technology in the framework of Vietnamese-German cooperation programs on training and education. With multidisciplinary fields of interest and several types of manuscripts, the journal has a predominant academic character, the submission of manuscripts is open to students, graduates, researchers and staff members of research and academic institutions, as well as to any individual willing to disseminate the knowledge about the management of Vietnamese environment. / Hệ thống khoa học và giáo dục đại học Việt Nam đóng vai trò quan trọng trong sự phát triển kinh tế và xã hội của đất nước. Trong xu hướng giao thoa mạnh mẽ giữa các hệ thống giáo dục quốc tế, đóng góp của các nhà nghiên cứu ở Việt Nam cho cộng đồng khoa học quốc tế còn khiêm tốn. Trong những thập niên qua, hầu hết các hoạt động khoa học tập trung vào khoa học lý thuyết hơn là các lĩnh vực khoa học ứng dụng. Điều này đã được phản ánh qua tỷ lệ khá thấp các ấn phẩm quốc tế về khoa học thực nghiệm. Cùng với những nỗ lực của đất nước để sử dụng hiệu quả các nguồn tài nguyên thiên nhiên, một nhu cầu cấp bách đặt ra là tăng cường các hoạt động nghiên cứu về khoa học môi trường. Tạp chí Môi trường Việt Nam ra đời nhằm hưởng ứng sự quan tâm ngày một gia tăng trong nghiên cứu môi trường. Tạp chí được thành lập như một phần của mạng lưới học thuật được đề xuất bởi Trường Đại học Tổng hợp Kỹ Thuật Dresden trong khuôn khổ chương trình hợp tác Việt Nam - CHLB Đức về đào tạo và giáo dục. Với mối quan tâm đa ngành và đa dạng trong ấn phẩm, tạp chí chủ yếu mang tính học thuật, cơ hội gửi đăng bài viết mở rộng cho cả sinh viên, kỹ sư / cử nhân, nghiên cứu viên và các thành viên của Viện nghiên cứu và giáo dục, các cá nhân có mong muốn phổ biến kiến thức về quản lý môi trường ở Việt Nam.

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Yes / Prediction of engine-out emissions with high fidelity from in-cylinder combustion simulations is still a significant challenge early in the engine development process. This paper contributes to this fast evolving body of knowledge by focusing on the evaluation of NOx emissions predictions capability of a Probability Density Function (PDF) based Stochastic Reactor Engine Models (SRM), for a Diesel engine. The research implements a systematic approach to the study of the SRM engine model performance, based on a detailed space-filling design of experiments based sensitivity analysis of both external and internal parameters, evaluating their effects on the accuracy in matching physical measurements of in-cylinder conditions, and NOx emissions output. The approach proposed in this paper introduces an automatic SRM model calibration methodology across the engine operating envelope, based on a multi-objective optimization approach. This aims to exploit opportunities for internal SRM parameters tuning to achieve good overall modelling performance as a trade-off between physical in-cylinder measurements accuracy and the output NOx emissions predictions error. The results from the case study provide a valuable insight into the effectiveness of the SRM model, showing good capability for NOx emissions prediction and trends, while pointing out the critical sensitivity to the external input parameters and modelling conditions. / 41043/R00836 Jaguar Land Rover funded research “MULTI-PHYSICS ENGINE SIMULATION FRAMEWORK: RESEARCH INTO ADVANCED CAE CAPABILITY FOR MULTI-PHYSICS SIMULATION FRAMEWORK TO GENERATE HIGH FIDELITY PREDICTION OF ENGINE-OUT EMISSIONS”, 2016 – 2019. / Research Development Fund Publication Prize Award winner, March 2019.

Yes / The advent of Internet of Things (IoT) has escalated the information sharing among various smart devices by many folds, irrespective of their geographical locations. Recently, applications like e-healthcare monitoring has attracted wide attention from the research community, where both the security and the effectiveness of the system are greatly imperative. However, to the best of our knowledge none of the existing literature can accomplish both these objectives (e.g., existing systems are not secure against physical attacks). This paper addresses the shortcomings in existing IoT-based healthcare system. We propose an enhanced system by introducing a Physical Unclonable Function (PUF)-based authentication scheme and a data driven fault-tolerant decision-making scheme for designing an IoT-based modern healthcare system. Analyses show that our proposed scheme is more secure and efficient than existing systems. Hence, it will be useful in designing an advanced IoT-based healthcare system. / Supported in part by Singapore Ministry of Education Academic Research Fund Tier 1 (R-263-000- D63-114). / Research Development Fund Publication Prize Award winner, July 2020.

Yes / This paper examines arms trade regulation in the late 19th century and contributes to the literature on norms, arms regulation, humanitarian arms control and arms control as governmentality. I begin by examining the 1890 Brussels Act as an example of the first ‘Matryoshka doll’ of arms trade governance, a specific humanitarian initiative focused on regulating a particular class of weapons in a specified area. I suggest the Act represented an attempt to graft a regulatory arms trade norm onto an established anti-slavery norm and that it was more extensively implemented than has been recognised. I then locate the Act within the second Matryoshka doll of arms trade governance, the broader approach to prohibition operating in the era. In contrast to representations of the period as one of free trade in arms I demonstrate the extensive efforts to restrict the transfer of firearms to colonial subjects. Finally, I demonstrate how mechanisms of prohibition and permission constituted the practices of arms control as governmentality – the third matryoshka doll - where the concern was to define and manage which gradations of people could legitimately own, trade and use which gradations of weapons in what contexts. Overall, the paper challenges the optimistic assumptions in much of the literature on humanitarian arms control and arms trade norms. Instead, I suggest the merger of humanitarianism and arms control can reflect the influence of both good and bad norms; is not necessarily incompatible with colonialism, racism or imperial violence and can be congruent with liberal militarism. / Research Development Fund Publication Prize Award winner.