Hasil untuk "Engineering machinery, tools, and implements"

Eduard Enoiu, Jean Malm, Gregory Gay

We explore the concept of folklore within software engineering, drawing from folklore studies to define and characterize narratives, myths, rituals, humor, and informal knowledge that circulate within software development communities. Using a literature review and thematic analysis, we curated exemplar folklore items (e.g., beliefs about where defects occur, the 10x developer legend, and technical debt). We analyzed their narrative form, symbolic meaning, occupational relevance, and links to knowledge areas in software engineering. To ground these concepts in practice, we conducted semi-structured interviews with 12 industrial practitioners in Sweden to explore how such narratives are recognized or transmitted within their daily work and how they affect it. Synthesizing these results, we propose a working definition of software engineering folklore as informally transmitted, traditional, and emergent narratives and heuristics enacted within occupational folk groups that shape identity, values, and collective knowledge. We argue that making the concept of software engineering folklore explicit provides a foundation for subsequent ethnography and folklore studies and for reflective practice that can preserve context-effective heuristics while challenging unhelpful folklore.

Jorge Melegati

The adoption of Generative AI (GenAI) suggests major changes for software engineering, including technical aspects but also human aspects of the professionals involved. One of these aspects is how individuals perceive themselves regarding their work, i.e., their work identity, and the processes they perform to form, adapt and reject these identities, i.e., identity work. Existent studies provide evidence of such identity work of software professionals triggered by the adoption of GenAI, however they do not consider differences among diverse roles, such as developers and testers. In this paper, we argue the need for considering the role as a factor defining the identity work of software professionals. To support our claim, we review some studies regarding different roles and also recent studies on how to adopt GenAI in software engineering. Then, we propose a research agenda to better understand how the role influences identity work of software professionals triggered by the adoption of GenAI, and, based on that, to propose new artifacts to support this adoption. We also discuss the potential implications for practice of the results to be obtained.

Lena Kröninger, Anay K. Maurya, Christian Stiebeling et al.

Eukaryotic life has been shaped fundamentally by the integration of bacterial endosymbionts. The trypanosomatid Angomonas deanei that contains a β-proteobacterial endosymbiont, represents an emerging model to elucidate initial steps in symbiont integration. Although the repertoire of genetic tools for A. deanei is growing, no conditional gene expression system is available yet, which would be key for the functional characterization of essential or expression of toxic proteins. Development of a conditional expression system based on endogenous RNA polymerase II (POLII) is hampered by the absence of information on transcription signals in A. deanei as well as the unusual genetic system used in the Trypanosomatidae that relies on read-through transcription. This mode of transcription can result in polar effects when manipulating expression of genes in their endogenous loci. Finally, only a few resistance markers are available for A. deanei yet, restricting the number of genetic modifications that can be introduced into one strain. To increase the range of possible genetic manipulations in A. deanei, and in particular, build the base for a conditional expression system that does not interfere with the endogenous gene expression machinery, here we (i) implemented two new drug resistance markers, (ii) identified the spacer upstream of the rDNA array on chromosome 13 as transcriptionally silent genomic locus, and (iii) used this locus for engineering an ectopic expression system that depends on the T7 RNA polymerase expressed from the δ-amastin locus. We show that transgene expression in this system is independent of the activity of endogenous RNA polymerases, reaches expression levels similar to the previously described POLII-dependent expression from the γ-amastin locus, and can be applied for studying endosymbiosis. In sum, the new tools expand the possibilities for genetic manipulations of A. deanei and provide a solid base for the development of an ectopic conditional expression system.

Jens Visbech, Anders Melander, A. Engsig-Karup

We present a new parallel spectral element solver, FNPF-SEM, for simulating linear and fully nonlinear potential flow-based water waves and their interaction with offshore structures. The tool is designed as a general-purpose wave model for offshore engineering applications. Built within the open-source framework Firedrake, the new FNPF-SEM model is designed as a computational tool capable of capturing both linear and nonlinear wave phenomena with high accuracy and efficiency, with support for high-order (spectral) finite elements. Additionally, Firedrake provides native support for MPI-based parallelism, allowing for efficient multi-CPU distributed computations needed for large-scale simulations. We demonstrate the capabilities of the high-order spectral element model through h- and p-convergence studies, and weak and strong scaling tests. Validation is performed against analytical solutions and experimental data for several benchmark cases, including nonlinear high-order harmonic generation and linear and nonlinear wave interactions with a cylinder and a breakwater. The new FNPF-SEM model offers a numerical framework for simulating wave propagation and wave-structure interactions, with the following key features: i) the ability to represent complex geometries through flexible, unstructured finite element meshes; ii) reduced numerical diffusion and dispersion by using high-order polynomial expansions; and iii) scalability to full- and large-scale simulations over long time periods through a parallel implementation.

Tarun Varshney, Naresh Patnana, Vinay Pratap Singh

This paper investigates frequency regulation of an airport microgrid (AIM) through the application of an integral absolute error (IAE)-assisted control approach. The islanded AIM is initially captured using a linearized transfer function model to accurately reflect its dynamic characteristics. This model is then simplified using a first-order plus dead time (FOPDT) approximation derived via a reaction-curve-based method, which balances between model simplicity and accuracy. Two different proportional–integral–derivative (PID) controllers are designed to meet distinct objectives: one focuses on set-point tracking (SPT) to maintain the target frequency levels, while the other addresses load disturbance rejection (LDR) to reduce the effects of load fluctuations. A thorough comparison of these controllers demonstrates that the SPT-mode PID controller outperforms the LDR-mode controller by providing an improved transient response and notably lower error measures. The results underscore the effectiveness of combining IAE-based control with reaction curve modeling to tune PID controllers for islanded AIM systems, contributing to enhanced and reliable frequency regulation for microgrid operations.

Roberto Verdecchia, Justus Bogner

While mastered by some, good scientific writing practices within Empirical Software Engineering (ESE) research appear to be seldom discussed and documented. Despite this, these practices are implicit or even explicit evaluation criteria of typical software engineering conferences and journals. In this pragmatic, educational-first document, we want to provide guidance to those who may feel overwhelmed or confused by writing ESE papers, but also those more experienced who still might find an opinionated collection of writing advice useful. The primary audience we had in mind for this paper were our own BSc, MSc, and PhD students, but also students of others. Our documented advice therefore reflects a subjective and personal vision of writing ESE papers. By no means do we claim to be fully objective, generalizable, or representative of the whole discipline. With that being said, writing papers in this way has worked pretty well for us so far. We hope that this guide can at least partially do the same for others.

Shavindra Wickramathilaka, John Grundy, Kashumi Madampe et al.

The use of diverse mobile applications among senior users is becoming increasingly widespread. However, many of these apps contain accessibility problems that result in negative user experiences for seniors. A key reason is that software practitioners often lack the time or resources to address the broad spectrum of age-related accessibility and personalisation needs. As current developer tools and practices encourage one-size-fits-all interfaces with limited potential to address the diversity of senior needs, there is a growing demand for approaches that support the systematic creation of adaptive, accessible app experiences. To this end, we present AdaptForge, a novel model-driven engineering (MDE) approach that enables advanced design-time adaptations of mobile application interfaces and behaviours tailored to the accessibility needs of senior users. AdaptForge uses two domain-specific languages (DSLs) to address age-related accessibility needs. The first model defines users' context-of-use parameters, while the second defines conditional accessibility scenarios and corresponding UI adaptation rules. These rules are interpreted by an MDE workflow to transform an app's original source code into personalised instances. We also report evaluations with professional software developers and senior end-users, demonstrating the feasibility and practical utility of AdaptForge.

O. Bulgakova, Іnna Savytska, Lesya Zbaravska et al.

The article highlights modern approaches and key factors influencing the formation of professional competence of agricultural engineers in the field of life safety. In the context of rapid technological development, digitalization of agricultural production and increased requirements for safe operation of agricultural machinery, the training of specialists requires a comprehensive and multi-level approach. It includes a combination of theoretical training, practical training, digital technologies and active learning methods, aimed at the development of the competencies, required to work in the field of safety. It has been shown that the use of interactive and problem-oriented teaching methods, such as the case-stage method, the discussion method, heuristic questions and paraphrases, semantic echo, mirror and others, integrated into lectures and practical classes in discipline "Life Safety", contributes to a deeper assimilation of the theoretical material. These methods ensure not only the transfer of knowledge but also the development of analytical thinking, the ability to predict risks, make decisions in non-standard situations and work in a team, which is an important component of the professional training of agricultural engineers. There have been identified the key factors, influencing the training efficiency of specialists in this field, including: motivation of the students, based on the awareness of the importance of safety in professional activities; availability of modern educational resources; the level of qualification of the teaching staff, including the knowledge of innovative educational technologies and practical experience in the field of safety; interaction with employers and specialized organizations, facilitating the implementation of students' project activities and industrial practices in real conditions. Within the framework of the study there is assessed the efficiency of modern approaches to the development of professional competence in the field of life safety. The results showed that the introduction of active learning methods and digital tools increases the assimilation level of the material by 35-40%, increases the students’ motivation by 50%, and helps improve the practical skills to predict and prevent risks by 30-45%, compared to the traditional teaching methods. A conclusion is made about the need to create an adaptive educational system that will ensure the formation of sustainable professional competencies of agricultural engineers in the field of life safety. This system should take into account the contemporary challenges, the labour market requirements and ensure the training of specialists capable of risk analysis, making informed decisions and implementing innovative solutions in the field of agricultural engineering.

Lena Kröninger, Anay K. Maurya, Christian Stiebeling et al.

The 6th International Conference on Mechanical Instrumentation and Automation (ICMIA 2025), held from March 21 to 23, 2025, in Hangzhou, China, marked another milestone in advancing interdisciplinary research and industrial applications within the fields of mechanical engineering, instrumentation, and automation. As the world continues to embrace rapid technological evolution, ICMIA 2025 served as a pivotal platform for scholars, engineers, and industry leaders to exchange cutting-edge ideas, present groundbreaking innovations, and foster collaborations aimed at addressing global challenges. This proceedings volume encapsulates the intellectual vibrancy and collaborative spirit that defined the event, offering a comprehensive overview of the latest advancements and future directions in the discipline. The keynote speeches set the tone for the conference by addressing transformative technologies and methodologies. Prof. Yufei Gao (Shandong University) opened the discourse with his presentation on Detection Model of Electroplated Diamond Wire Surface Abrasive Distribution Characteristics based on YOLO-EDW. By integrating computer vision and deep learning, his work offers a novel approach to optimizing abrasive tool performance, with profound implications for precision manufacturing and semiconductor industries. Prof. Jiang Guo (Dalian University of Technology) followed with a compelling exploration of Surface Treatment Technology and Applications for Interface Bonding Performance Oriented Multilayer Additive Hot-Compression Bonding of Large Forgings. His research bridges the gap between material science and industrial applications, proposing scalable solutions for enhancing the durability and reliability of heavy machinery components. Concluding the keynote series, Assoc. Prof. Teng Wang (Northwestern Polytechnical University) presented a pioneering Data-Model-Driven Method for Condition Monitoring of Key Equipment and Its Application in Digital Twin Systems. By merging real-time sensor data with predictive analytics, his framework advances the development of smart maintenance systems, offering a blueprint for Industry 4.0 implementation. The agenda was meticulously structured to maximize engagement and knowledge dissemination. The Opening Ceremony underscored the conference’s mission through remarks by general chair and a panel discussion on global trends in automation. Subsequent Oral Presentation Sessions spanned topics such as robotics, sensor technologies, and sustainable manufacturing, with presenters showcasing empirical studies and theoretical breakthroughs. A dedicated Award Ceremony honored exceptional papers selected through rigorous peer review, highlighting contributions to AI-driven predictive maintenance and energy-efficient system design. List of Committee Member is available in this Pdf.

P. Yablonskyi, I.L. Rogovskii, Henryk Sobczuk et al.

In this article, a detailed analysis of modern research and publications on the selected subject was carried out related to the computer-variant geometric modeling of the working surfaces of the plow blades. Based on this, a new method of proper design was proposed. The performed scientific investigations aimed to create a flexible, productive, and universal approach for the automated shaping of tillage tools. The accentuated effectiveness of geometric modeling was achieved using a developed special mathematical apparatus adapted for use in the environment of current computer information systems of an engineering profile. The implementation was based on such parametric lines as heterogeneous rational B-splines, which are acceptable in automated design systems. The specified geometric models were characterized by the coverage of a sufficiently large range of plow heads. The indicated means of forming could conveniently adapt to the changing conditions of designing tillage tools suggested by theoretical calculations and practical experiments. The given facts contributed to the multifaceted clarification of the specified information. They also ensured the appropriate integration and the possibility of determining the most rational options among the studied varieties of plow dumps. Simultaneously, the most common group of dumps with cylindrical and other plow working surfaces was considered. The significant role of geometric models for qualitative coordination and the effective combination of many other models (e.g., strength, manufacturing technology, and operation conditions) was emphasized. This was aimed at comprehensive optimization throughout their life cycle, in this case of plows. The proper solution to the presented problems contributed to a successful solution to the actual scientific and applied problem of improving the quality of machinery.

Junya WATANABE, Toshiaki KONO

In the maintenance service business, introducing IoT solutions is an expected strategy to improve the maintenance efficiency. However, it is difficult to predict in advance the quantitative effects of IoT solutions on the overall business. This study proposes the simulation approach to quantitatively evaluate the improvement effect of IoT solutions using the multi agent modeling for maintenance business. This model includes the behavior of maintenance workers and is characterized by evaluating the resource workload. The effectiveness of the proposed approach is verified in the case study of a dispatch-type maintenance service for wind turbines. The availabilities of wind turbines are compared in two prognosis solution introduction stories with six cases. The change trends in availability by introducing prognosis solutions can be explained by both the reduction in asset failures and the resource status of maintenance workers. In the simulation result, the introduction of anomaly prediction without changing the current maintenance policy resulted in an increase in workload and rather worsened availability, which indicates that the proposed method can assess the risk of reduced availability. Also, the availability improved significantly when combined with a change in maintenance policy, such as omitting periodic inspections. These results indicate that the proposed method can evaluate the synergistic effects of prognosis solutions and maintenance policy changes.

Anna-Maria Theodora Andreescu, Daniel Eugeniu Crunteanu, Maximilian Vlad Teodorescu et al.

This paper outlines the development phases of a wave-driven Helicon Plasma Thruster for cutting-edge Low Earth Orbit (LEO) constellations. The two-stage ambipolar electric propulsion (EP) system combines the efficient ionization of an ultra-compact helicon reactor with plasma acceleration based on an ambipolar electric field provided by a magnetic nozzle. This paper reveals maturation challenges associated with an emerging EP system in the hundreds-watt class, followed by outlook strategies. A 3 cm diameter helicon reactor was operated using argon gas under a time-modulated RF power envelope ranging from 250 W to 500 W with a fixed magnetic field strength of 400 G. Magnetically enhanced inductively coupled plasma reactor characteristics based on half-wavelength right helical and Nagoya Type III antennas under capacitive (E-mode), inductive (W-mode), and wave coupling (W-mode) were systematically investigated based on Optical Emission Spectroscopy. The operation characteristics of a wave-heated reactor based on helicon configuration were investigated as a function of different operating parameters. This work demonstrates the ability of two-stage HPT using a compact helicon reactor and a cusped magnetic field to outperform today’s LEO spacecraft propulsion.

Yvonne Dittrich, Helen Sharp, Cleidson de Souza

Ethnography has become one of the established methods for empirical research on software engineering. Although there is a wide variety of introductory books available, there has been no material targeting software engineering students particularly, until now. In this chapter we provide an introduction to teaching and learning ethnography for faculty teaching ethnography to software engineering graduate students and for the students themselves of such courses. The contents of the chapter focuses on what we think is the core basic knowledge for newbies to ethnography as a research method. We complement the text with proposals for exercises, tips for teaching, and pitfalls that we and our students have experienced. The chapter is designed to support part of a course on empirical software engineering and provides pointers and literature for further reading.

Sergio Rico

Case studies are a popular and noteworthy type of research study in software engineering, offering significant potential to impact industry practices by investigating phenomena in their natural contexts. This potential to reach a broad audience beyond the academic community is often undermined by deficiencies in reporting, particularly in the context description, study classification, generalizability, and the handling of validity threats. This paper presents a reflective analysis aiming to share insights that can enhance the quality and impact of case study reporting. We emphasize the need to follow established guidelines, accurate classification, and detailed context descriptions in case studies. Additionally, particular focus is placed on articulating generalizable findings and thoroughly discussing generalizability threats. We aim to encourage researchers to adopt more rigorous and communicative strategies, ensuring that case studies are methodologically sound, resonate with, and apply to software engineering practitioners and the broader academic community. The reflections and recommendations offered in this paper aim to ensure that insights from case studies are transparent, understandable, and tailored to meet the needs of both academic researchers and industry practitioners. In doing so, we seek to enhance the real-world applicability of academic research, bridging the gap between theoretical research and practical implementation in industry.

Juan M. Murillo, Jose Garcia-Alonso, Enrique Moguel et al.

As quantum computers advance, the complexity of the software they can execute increases as well. To ensure this software is efficient, maintainable, reusable, and cost-effective -key qualities of any industry-grade software-mature software engineering practices must be applied throughout its design, development, and operation. However, the significant differences between classical and quantum software make it challenging to directly apply classical software engineering methods to quantum systems. This challenge has led to the emergence of Quantum Software Engineering as a distinct field within the broader software engineering landscape. In this work, a group of active researchers analyse in depth the current state of quantum software engineering research. From this analysis, the key areas of quantum software engineering are identified and explored in order to determine the most relevant open challenges that should be addressed in the next years. These challenges help identify necessary breakthroughs and future research directions for advancing Quantum Software Engineering.

David P Aguilar, M. Andrews, Brian P. Leyde

ABSTRACT Computer models and simulations have become an indispensable tool for solving complex problems in many parts of vehicle development including powertrain engineering, mobility assessment, survivability analysis, and manufacturing and life cycle assessment. As computational power has increased and model accuracy has improved, engineers have come to depend on simulations to investigate and characterize systems. This raises the importance of model calibration and validation. Calibration is the process of tuning model parameters which are not directly measured in physical tests. These parameters maybe physical properties (material and soil properties, manufactured dimensions, engine operating points) which are difficult to measure or entirely non-physical model parameters. Calibration is necessary to ensure that models and simulation results are as close to physical reality as possible given modeling limitations and assumptions. This paper presents a calibration framework which implements automated statistical calibration using kriging emulators. Through a combination of advanced experimental designs and numerical techniques, this framework greatly reduces the computation required to fit emulators. The utility of this framework is demonstrated with examples including the calibration of turbo machinery simulations. Several different methods within the framework are also demonstrated: agreement and linkage based calibration, and automated sensitivity analyses.

M. Rozi, Syaiful Haq

This study aims to determine the feasibility level of the Wood Work Construction Workshop of the Civil Engineering Department of FT UNP based on the standards of Permendiknas number 40 of 2008, SNI 03-6575-2001, and ISO 9001: 2008. This research approach uses descriptive qualitative research methods and uses a policy evaluation model. The object of this research is the wood working construction workshop. Data collection techniques were carried out by means of observation, interviews, direct measurement and documentation. The research instrument used a checklist that was used during direct measurement. The technique of obtaining data uses a roller meter, lux meter, sound level meter, thermometer and anemometer. The results of this study are the workshop area according to the standard, the area of hand wood working area according to the standard, the area of wood machinery according to the standard, the area of storage and technician areas according to the standard, the lighting level of the wood workshop in the morning according to the standard, at noon according to the standard, and in the afternoon not according to the standard, workshop natural ventilation air circulation for air temperature in the morning is up to standard, in the afternoon and evening is not up to standard, air humidity in the morning and afternoon is up to standard, in the afternoon is not up to standard, air velocity in the morning and afternoon is not up to standard, in the afternoon is up to standard, sound and noise are up to standard, room temperature in the morning is up to standard, The number of students is according to the standard, the number of technicians is not according to the standard, the implementation of workshop practice is according to the standard, the color of the room is according to the standard, the wood workshop practice equipment for hand tools is according to the standard, the working station tool of the type of tool consists of 4 types not according to the standard and 8 types are according to the standard, Workshop facilities for furniture are according to the standard, educational media are according to the standard, fire protection equipment is not according to the standard, first aid kits are according to the standard, personal protective equipment is not according to the standard, workshop support equipment for electrical contact boxes are according to the standard, trash cans are not according to the standard, information data boards are according to the standard, vacuum is not according to the standard.

S. Auld, Z. Whitlow, F. Hopwood et al.

The drilling industry has undergone significant changes in recent years, leading to increased efficiency, lower costs, and reduced emissions per production unit. As unconventional well construction complexity continues to increase, the next wave of innovation lies in process automation, offering improved consistency and the opportunity to enhance drilling engineering designs. Effectively automating drilling a stand while minimizing human variability requires a scalable control system, providing adaptability, seamless implementation, and improved operational outcomes. The system requires high- and low-level process control components to effectively control rig machinery within the bounds of the machine limit controls. By using automation sequences while engaging and disengaging the drill bit, operational states such as breakover, optimal weight on bit (WOB), steady state hookload, and zeroing become easier to distinguish. Through consistent implementation of process automation in drilling operations, the impact on operational outcomes became evident. Analysis of bit disengagement in a series of automatically drilled stands in the lateral revealed a consistent breakover range of 18 to 22 ft. This is particularly noteworthy as breakover is typically more challenging to identify and prone to variability in manual operations. Zeroing WOB in the lateral at a predetermined drilling interval is common practice to calibrate the drilling system, and procedures provided by the operator are often conservative due to human variability resulting in slower process execution. While drilling automated stands in a lateral, it was determined the lowering sequence of the process could be reduced by half to effectively zero the WOB and differential pressure, reducing invisible lost time. Not all invisible lost time and variability is human related; variability due to equipment design was reduced. Torquing drillpipe connections is essential to drilling a well. Development of high spec automated floor wrenches improved make-up connection torque accuracy and consistency primarily associated with fundamental tool design. These improvements led to a connection integrity paradigm shift, reducing manual tong usage by 99%, effectively eliminating the need for high torque tongs at a wellsite, leading to improved tripping time and safety. As drilling automation continues to evolve, the outcomes obtained through consistent process execution provide valuable insights. Additionally, this contributes to a decrease in emissions per unit of hydrocarbon production. Consistency through automation reveals new avenues for in-depth technical discussions on achieving safe and efficient drilling of progressively complex wells.

M. Kostomakhin, N. Petrishchev, A. Sayapin et al.

It is well known that often hydraulic pumps are resource-limiting components of the units in whose design they are included, and the condition of the hydraulic pump determines the performance and efficiency of the entire unit. The purpose of the work was to develop a prototype of a diagnostic tool that provides monitoring of the technical condition of hydraulic pumps during operation. An analysis of the tools produced by the Federal Scientific Agro-Engineering Center VIM for diagnosing the technical condition of hydraulic pumps of agricultural machinery was carried out. The material of research was a prototype of a tool for diagnosing the technical condition of hydraulic units, which was based on the method of amplitude-phase characteristics for rapid assessment of the technical condition of pumps during operation. On the base of our research we came to conclusions that for further development of the technology and subsequent implementation of the presented prototype in the process of diagnosing hydraulic pumps by pulsation coefficient it is necessary to increase the controllability of hydraulic systems of agricultural machinery by installing diagnostic points for connecting pressure sensors. Also together with manufacturers of hydraulic units, develop criteria for nominal, permissible, limit states, characterized by both the supply coefficient KQ and the pulsation coefficient ɛ.