This paper gives an overview about aspects of mechanical engineering of undulators. It is based mainly on two types that are used in the SwissFEL facility. The U15 Undulator is an example of an in-vacuum type and the UE38 is an APPLE-X type. It describes the frame, the adjustment of the magnets with flexible keepers and the adjustment of the whole device with eccentric movers.
Maizuar Maizuar, Herman Fithra, Khairullah Yusuf
et al.
The effect of combined nano materials on mechanical properties of high-volume fly ash mortar (HVFAM) was carried out in this investigation. The characteristics of HVFAM mixes were first evaluated using slump flow tests. Then, the mechanical properties of HVFAM including the measurement of setting time and the development of early-age compressive strength were performed. Structural changes during hydration were analyzed using FTIR analysis. The study utilized fly ash (FA) as a 60% replacement for cement, with the addition of 0.01% carbon nanotubes (CNT) and graphene oxide (GO) with five different dosages ranging from 0.01% to 0.05%. Results of study showed that the incorporation of hybrid CNT and GO significantly affected the mechanical properties of HVFAM. Specifically, increased of CNT and GO contents lead to significant reduction in both workability and setting time of HVFAM, with a more pronounced reduction in final setting time compared to initial setting time. The development of early-age strength of HVFAM improved by 15.8% with the highest 28 day-strength increasing by approximately 23% at 0.01% CNT and 0.03% GO dosages. FTIR analysis confirmed that the improved early-age strength was attributed to the accelerated hydration of cement caused by the seeding effect. The outcome of the study provides a suitable approach for the development of eco-friendly materials with improved mechanical properties that could be effectively used for HVFAM.
Architectural engineering. Structural engineering of buildings, Structural engineering (General)
The theory of interior branding is a concept proposed by Kim Kuhteubl (2016) in her book "Branding + Interior Design: Visibility and Business Strategy for Interior Designers". The theory of interior branding explores the role of interior design in reinforcing brand identity and customer loyalty. Discussion regarding this theory can be found in journals/articles that examine the implementation of interior branding in various commercial spaces. Among these discussions are explanations concerning the aspects that contribute to interior branding, such as vision, story, and energy. However, in-depth explanations regarding the meaning of these aspects in forming interior branding are still limited. This limitation poses a risk of generating multiple interpretations of the theory of interior branding. Nevertheless, these aspects can be further elucidated by referencing fundamental theories of interior design. This journal aims to complement the explanations of each aspect that shapes interior branding. A more comprehensive explanation can provide a deeper understanding. The research method employed is a literature review method related to each relevant keyword. The literature review sources are limited to the fields of interior design and architecture to ensure relevance and alignment with the context of the research.
Technology, Architectural engineering. Structural engineering of buildings
Aluminium alloy is one of the most widely used engineering materials due to its properties Relatively lower specific weight and corrosion resistance compared to steel. Moreover, they are They are also relatively easier to machine. Aluminium alloy is found to provide the highest quality Degree of machinability compared to other lightweight metals such as titanium and magnesium Alloy. Various techniques have been used to induce motion during the solidification process of molten metal in the casting mold, such as mechanical vibration, ultrasonic vibration, and electromagnetic vibration. This paper presents a brief review of the above vibration processes and their types, uses, and how they affect the mechanical properties of aluminium alloys
A flaky test yields inconsistent results upon repetition, posing a significant challenge to software developers. An extensive study of their presence and characteristics has been done in classical computer software but not quantum computer software. In this paper, we outline challenges and potential solutions for the automated detection of flaky tests in bug reports of quantum software. We aim to raise awareness of flakiness in quantum software and encourage the software engineering community to work collaboratively to solve this emerging challenge.
Abstract The movement to provide government subsidies to public housing arose in the U.K., in the early 20th century. Housing environment and dwelling unit environment were improved through this movement. This study examines improvements in the provisions of housing Acts and housing estates around World War I (WWI). Major findings of this study are as follows: Government subsidies or loans, dwelling unit density, and relaxation of byelaws were established in the provisions of the housing Acts. Further,—improvements to living conditions were realized in housing estates during WWI, and many other improvements suggested in the recommendation of Tudor Walters report were realized after WWI.
Architecture, Architectural engineering. Structural engineering of buildings
An unwanted experiment of prolonged periods of working away from the office was forced on many societies by the COVID-19 pandemic. In the three years since the COVID outbreak, many organisations have shifted to hybrid work practices by mixing working from home with office-based work. Unsurprisingly, a plethora of both academic and grey literature has been published on hybrid work since 2020. This paper scans that literature in order to understand some of the most important questions emerging and compares these with the experience of a small sample of UK-based participants living and managing in this rapidly changing environment. Considering different disciplinary domains (human resources, management, architecture, real estate, technology), the literature in conjunction with the lived experience highlights real tensions surfacing between individual choices, worker wellbeing and organisational needs. Stuck in the middle of these perpetual conflicts are middle managers trying to make things work day-to-day. It is argued that the implications of hybrid work are potentially as profound as those of Taylorism in the early 20th century. Based on the foundations of architectural sociology, a holistic socio-spatial approach is proposed that responds to the rapidly changing world of work. Practice relevance Leaders of organisations need to pay attention to how profound are the changes imposed by hybrid work and to monitor their potential impacts. The dangers of not doing so are manifest as organisations run the risk of inadvertent discrimination and marginalisation, of creating siloes, of damaging their innovative capacity, and of burning out their employees. Middle managers are living with the tensions and conflicts caused by this revolution on a day-to-day basis. The changes in physical space and technology, although evident, are rarely quick or radical enough to strengthen the working practices already in place. Supporting the workforce by investing in these areas will help the transition to more effective hybrid work practices for everyone.
Architectural engineering. Structural engineering of buildings
Software companies have widely used online A/B testing to evaluate the impact of a new technology by offering it to groups of users and comparing it against the unmodified product. However, running online A/B testing needs not only efforts in design, implementation, and stakeholders' approval to be served in production but also several weeks to collect the data in iterations. To address these issues, a recently emerging topic, called "Offline A/B Testing", is getting increasing attention, intending to conduct the offline evaluation of new technologies by estimating historical logged data. Although this approach is promising due to lower implementation effort, faster turnaround time, and no potential user harm, for it to be effectively prioritized as requirements in practice, several limitations need to be addressed, including its discrepancy with online A/B test results, and lack of systematic updates on varying data and parameters. In response, in this vision paper, I introduce AutoOffAB, an idea to automatically run variants of offline A/B testing against recent logging and update the offline evaluation results, which are used to make decisions on requirements more reliably and systematically.
Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significant challenge for researchers aiming to apply these breakthroughs in engineering design. Synthetic datasets emerge as a viable alternative. However, practitioners are often uncertain about generating high-quality datasets that accurately represent real-world data and are suitable for the intended downstream applications. This study aims to fill this knowledge gap by proposing comprehensive guidelines for generating, annotating, and validating synthetic datasets. The trade-offs and methods associated with each of these aspects are elaborated upon. Further, the practical implications of these guidelines are illustrated through the creation of a turbo-compressors dataset. The study underscores the importance of thoughtful sampling methods to ensure the appropriate size, diversity, utility, and realism of a dataset. It also highlights that design diversity does not equate to performance diversity or realism. By employing test sets that represent uniform, real, or task-specific samples, the influence of sample size and sampling strategy is scrutinized. Overall, this paper offers valuable insights for researchers intending to create and publish synthetic datasets for engineering design, thereby paving the way for more effective applications of AI advancements in the field. The code and data for the dataset and methods are made publicly accessible at https://github.com/cyrilpic/radcomp .
defended my Ph.D. thesis for the MIT Portugal Ph.D. in Sustainable Energy Systems from IST in Portugal. The goal of the Ph.D. was to provide a better understanding of the relationship between economic development and the use of natural resources. The work focused on studying the material and economic flows that make up the socioeconomic metabolism of a country. During the Ph.D. I spent four months at IndEcol at NTNU in Norway. I was a board member of the International Society of Industrial Ecology (ISIE) student chapter. Between 2016 and 2018, I was a member of the IST team working on the Sharing Cities Project. The Sharing Cities project was a European project shared by six different countries focusing on smart cities. My background was mechanical engineering, having completed the Integrated Master in Mechanical Engineering at IST in Lisbon. My master thesis focused on building energy simulation and was attributed top marks. energy management platforms, business models, and evaluation of deployed solutions. Also contributed to the work packages related to implementing other initiatives and linked with the citizen, including the development of an urban digital social market. The project joined professionals from 34 government, industry, and academia partners in 6 different European cities, creating a network of people interested in actively contributing to more sustainable cities. Invited to teach a theoretical and an exercise class regarding building energy simulation to 4 th -year Architecture students of the course Environmental Design, following the work developed in the master thesis. of The focused on environment, sustainability, energy resources, energy systems economics and modeling, optimization of energy systems, energy in buildings, economics, project evaluation and externalities, and entrepreneurship and The work produced aims to understand the relationship between material use and economic development. This was achieved by creating a program in Python to track material flows across an economy based on freely accessible data, Input-Output Analysis, and the principle of material balance. The results show how a country’s material use has evolved through the years and relates to other and its economic This one-week workshop organized by MIT and MIT Portugal focused on entrepreneurship and innovation, from identifying a market need to design thinking and business models.
The internal forces and stresses were analyzed and utilization of the design resistance in selected members of
the roof structure with local and global geometrical imperfections was evaluated. Values of these imperfections
were based on the information given in the standards EN 1090-2 and EN 1993-1-1. Besides the basic
reference model with imperfections, models without imperfections, with different equivalent load arrangements
by the authors’ own concept and comparatively according to the standard EN 1993-1-1 were analyzed.
The calculations were made using the 1st and the 2nd order analysis. Conclusion concerning accuracy of the
internal forces estimation and limit states check by use the equivalent load system proposed in the standard
EN 1993-1-1 are presented. Deficiencies in the provisions of this standard in terms of adopting equivalent
loads in roof structures with imperfections, resulting in underestimation of the stresses in the bottom chords
of the roof trusses, has been demonstrated.
Architectural engineering. Structural engineering of buildings, Architecture
Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built. As demands for process and product improvement continue to grow, the quality of the data used in measurement and prediction systems warrants increasingly close scrutiny. In this paper we propose a taxonomy of data quality challenges in empirical software engineering, based on an extensive review of prior research. We consider current assessment techniques for each quality issue and proposed mechanisms to address these issues, where available. Our taxonomy classifies data quality issues into three broad areas: first, characteristics of data that mean they are not fit for modeling; second, data set characteristics that lead to concerns about the suitability of applying a given model to another data set; and third, factors that prevent or limit data accessibility and trust. We identify this latter area as of particular need in terms of further research.
Gias Uddin, Yann-Gael Gueheneuc, Foutse Khomh
et al.
Sentiment analysis in software engineering (SE) has shown promise to analyze and support diverse development activities. We report the results of an empirical study that we conducted to determine the feasibility of developing an ensemble engine by combining the polarity labels of stand-alone SE-specific sentiment detectors. Our study has two phases. In the first phase, we pick five SE-specific sentiment detection tools from two recently published papers by Lin et al. [31, 32], who first reported negative results with standalone sentiment detectors and then proposed an improved SE-specific sentiment detector, POME [31]. We report the study results on 17,581 units (sentences/documents) coming from six currently available sentiment benchmarks for SE. We find that the existing tools can be complementary to each other in 85-95% of the cases, i.e., one is wrong, but another is right. However, a majority voting-based ensemble of those tools fails to improve the accuracy of sentiment detection. We develop Sentisead, a supervised tool by combining the polarity labels and bag of words as features. Sentisead improves the performance (F1-score) of the individual tools by 4% (over Senti4SD [5]) - 100% (over POME [31]). In a second phase, we compare and improve Sentisead infrastructure using Pre-trained Transformer Models (PTMs). We find that a Sentisead infrastructure with RoBERTa as the ensemble of the five stand-alone rule-based and shallow learning SE-specific tools from Lin et al. [31, 32] offers the best F1-score of 0.805 across the six datasets, while a stand-alone RoBERTa shows an F1-score of 0.801.
The design of recommendation systems is based on complex information processing and big data interaction. This personalized view has evolved into a hot area in the past decade, where applications might have been proved to help for solving problem in the software development field. Therefore, with the evolvement of Recommendation System in Software Engineering (RSSE), the coordination of software projects with their stakeholders is improving. This experiment examines four open source recommender systems and implemented a customized recommender engine with two industrial-oriented packages: Lenskit and Mahout. Each of the main functions was examined and issues were identified during the experiment.
Quantum technology has made tremendous strides over the past two decades with remarkable advances in materials engineering, circuit design and dynamic operation. In particular, the integration of different quantum modules has benefited from hybrid quantum systems, which provide an important pathway for harnessing the different natural advantages of complementary quantum systems and for engineering new functionalities. This review focuses on the current frontiers with respect to utilizing magnetic excitatons or magnons for novel quantum functionality. Magnons are the fundamental excitations of magnetically ordered solid-state materials and provide great tunability and flexibility for interacting with various quantum modules for integration in diverse quantum systems. The concomitant rich variety of physics and material selections enable exploration of novel quantum phenomena in materials science and engineering. In addition, the relative ease of generating strong coupling and forming hybrid dynamic systems with other excitations makes hybrid magnonics a unique platform for quantum engineering. We start our discussion with circuit-based hybrid magnonic systems, which are coupled with microwave photons and acoustic phonons. Subsequently, we are focusing on the recent progress of magnon-magnon coupling within confined magnetic systems. Next we highlight new opportunities for understanding the interactions between magnons and nitrogen-vacancy centers for quantum sensing and implementing quantum interconnects. Lastly, we focus on the spin excitations and magnon spectra of novel quantum materials investigated with advanced optical characterization.
Abstract To meet the ever-increasing demand for more environmentally conscious building designs, it is important that sustainable building material options be available. Natural and recycled materi...