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ASEE 2004 Annual Conference and Exposition, "engineering Researchs New Heights"

作者： Siuss Jr., J.J. Crain, G.E. Kartalopoulos, S.V. Refai, H.H. Verma, P.K. Sch. of Elec. and Comp. Engineering Telecommunications Systems Program University of Oklahoma Tulsa

The features of the Masters of Science in Telecommunication systems program at the University of Oklahoma (OU)-Tulsa, are discussed. The program requires all student to complete a minimum of 32 credit hours, including a professional project. The program was created, under the aegis of the School of Electrical and Computer engineering, to produce engineering graduates in telecommunication-related fields. In addition to the common core coursework, students are required to complete 12 hours of technical elective coursework with Telecommunication systems (TCOM) and computer engineering.

关键词： Telecommunication systems

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A new industrial and systems engineering program: Benchmarking results to determine what and why 125

A new industrial and systems engineering program: Benchmarki...

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125th ASEE Annual Conference and Exposition

作者： Abel, Kate D. Engineering Management Program School of Systems and Enterprises Stevens Institute of Technology United States

The history of much of Industrial engineering has its roots in the Industrial Revolution where technologies helped mechanize what had been manual labor. However a lot has changed in the 100 plus years since the Industrial Revolution started, and Industrial engineering rightly changed along with it. over time Industrial engineering has taken different focuses and embodied different instruction by different educational institutions. Is it only just 'gears and wrenches'? Or is there more to it? Are there specific identifiable focuses? If so, how could Industrial and systems engineering (ISE) articulate those focuses? If a university was to start a brand new Industrial and systems engineering program, what would it look like and why? These topics will be explored in this article focusing on the rollout of a brand new program in Industrial and systems engineering at Stevens Institute of Technology. © American Society for engineering Education, 2018.

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Achieving success for the development of a systems engineering degree program

Achieving success for the development of a systems engineeri...

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114th Annual ASEE Conference and Exposition, 2007

作者： Teng, S. Gary Ozelkan, Ertunga Sireli, Yesim Elmore, Karen University of North Carolina Charlotte United States Engineering Management Program Center for Lean Logistics and Engineered Systems University of North Carolina Charlotte United States Department of Engineering Management United States Engineering Management Program University of North Carolina Charlotte United States ASEE IEEE Engineering Management Society Decision Sciences Institute United States ASEM Korea Republic of Marketing Science Institute United States Honor Society of Phi Kappa Phi United States

Due to the changing global business environment, the operations of engineering companies in the U.S. are moving from self sufficient engineering operations toward the integration of various engineering operations, including design, production and manufacturing, logistics, sales, and services, at global locations and companies. The education of future engineers has to reflect this changing trend and demand. systems engineering (SE) discipline provides this critical need of education to handle the increasing demands for systems efficiency, effectiveness, and integration in engineering and business operations. This paper intends to discuss the process in the design of a Bachelor of Science in SE curriculum. The design is based on an analysis of skill requirements in industry under the current global market environment and global supply chain operations. This paper discusses industry needs in skills and demonstrates the match of skills to various SE courses and the completed curriculum design for a Bachelor of Science in SE program. © American Society for engineering Education, 2007.

关键词： systems engineering

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Nonlinear Value Function Approximation Method with Easy Hyperparameter Tuning and Convergence Guarantee

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IEEE Access 2025年 13卷 30117-30126页

作者： Watabe, Yuuya Shibuya, Takeshi University of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Ibaraki305-8577 Japan University of Tsukuba Institute of Systems and Information Engineering Ibaraki305-8577 Japan

Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-And-error in the environment. Because this can be applicable even when the state transition function of the control object is unknown or it is difficult to create its model properly, this can reduce the designer's burden. Reinforcement learning repeats evaluating a policy and improving it based on that evaluation. An algorithm called value function approximation is used in this evaluation. Value function approximation is a general term for algorithms of approximating a function called value function, which maps an arbitrary state to how much reward can be obtained in the future when acting according to a policy from that state. Value function approximation should have high approximation accuracy and hyperparameter easy to tune. Although various value function approximation methods have been proposed so far, some of them does not have convergent guarantee and the others' hyperparameter tuning is difficult. The purpose of this paper is to propose a value function approximation method that have convergence guarantee even with nonlinear function approximator and whose hyperparameter tuning is easy and to verify its performance through numerical experiments. To this end, we focused on GTD2 method, which is one of the value function approximation methods that has convergence guarantee even with a nonlinear function approximator. GTD2 method has the drawback that its hyperparameter is difficult to tune appropriately so that the approximation does not diverge during learning. Therefore, we firstly clarified the cause of the divergence of GTD2 method. Secondly, based on this cause, we proposed Normalized and Regularized GTD2 (NRGTD2) method, that incorporates a method for suppressing divergence into GTD2 method. Finally, through numerical experiments, it was clarified that the proposed method suppresses the divergence and can achieve better approxim

关键词： Reinforcement learning

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A deep learning framework for automatic assessment of presence in virtual reality using multimodal behavioral cues

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Neural Computing and Applications 2025年第8期37卷 6283-6303页

作者： Pannattee, Peerawat Shimada, Shogo Yem, Vibol Nishiuchi, Nobuyuki Graduate School of Systems Design Tokyo Metropolitan University Tokyo191-0065 Japan Graduate School of Science and Technology Degree Program in Systems and Information Engineering University of Tsukuba Ibaraki3058573 Japan

Effective development of virtual reality (VR) applications is heavily reliant on the evaluation of user experience (UX). However, traditional methods such as questionnaires have inherent limitations which hinder their ability to capture nuanced behavioral responses and impede the agility of VR content creation: They are time-consuming, burdensome for users, and require significant human effort for interpretation. This study introduces an automated framework aimed at addressing the limitations of questionnaire-based evaluations to assess UX in VR. Our primary focus is to validate the concept of this framework through assessment of the sense of presence (SOP), a crucial psychological perception with significant impact on VR UX. Our proposed framework utilizes a deep neural network (DNN) to analyze patterns in multimodal behavioral cues, including facial expressions, head movements, and hand movements, to predict scores from the Igroup Presence Questionnaire (IPQ). Additionally, we introduce two statistical profiles: the Visual Entropy Profile (VEP), which offers insights into visual complexity by depicting scene entropy, and the Experiential Presence Profile (EPP), which is designed to capture users’ historical SOP levels to enable personalized baseline and sensitivity estimation. The proposed framework achieves a significant correlation between actual and predicted IPQ scores, with a Spearman’s rank correlation coefficient of 0.7303, showcasing the potential of DNNs in analyzing complex behavioral signals and automating SOP assessment. This study represents a pioneering effort in leveraging DNNs for the automatic assessment of SOP and paves the way for future advances in automatically assessing VR UX and unlocking new opportunities in the field. © The Author(s) 2025.

关键词： Virtual environments

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5.5.5 Improvement of systems engineering on a Mature program

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INCOSE International Symposium 1998年第1期8卷 707-713页

作者： van Gaasbeek, James R. Sunday, David A. Manuel, Gregory C. Systems Engineering Military Aircraft Systems Division Northrop Grumman Corporation United States Program Enterprise Management Military Aircraft Systems Division Northrop Grumman Corporation United States

This paper discusses the activities involved in improving systems engineering (SE) on a large, mature program. It discusses the reasons for improving SE for a fielded product and then provides a description and discussion of the program environment the SE environment and the various steps taken to accomplish the task. © 1998 The Authors.

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Throughput and Quality Optimized Down-Selection of Overlay Measurement Markers for Robust Control of the Maximum Overlay Error in a Pattern Layer in Photolithography Processes

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IEEE Transactions on Semiconductor Manufacturing 2025年第2期38卷 251-262页

作者： Graff, Noah Djurdjanovic, Dragan The University of Texas at Austin Graduate Program in Dynamic Systems & Controls Walker Department of Mechanical Engineering AustinTX78712 United States The University of Texas at Austin Walker Department of Mechanical Engineering AustinTX78712 United States

This paper presents a metaheuristic optimization-based approach for selecting a pre-determined number of measurement markers from the set of available markers that optimizes the performance of the recently introduced robust L∞ norm overlay control algorithm, which robustly minimizes the worst overlay error across a given pattern layer. This optimization is then used in a Design of Experiments (DOE) setting to build a tractable regression model of a customizable objective function encompassing cost effects of quality losses and throughput benefits resulting from the down-selection of markers selected for robust overlay control. Using this model, one can rapidly determine the optimal proportion of markers for any set of cost parameters, and the optimal subset forming this proportion of available markers can be down-selected to maximize performance of the resulting robust overlay controller. Overlay data and models from a semiconductor manufacturing fab were used to evaluate the newly proposed inspection and control strategy. Results clearly indicate that the novel strategic down-selection of measurement markers coupled with robust overlay control could lead to vastly improved throughputs without decreasing quality relative to what can be achieved using traditional Run-to-Run (R2R) control. Feasibility of the novel DOE-based optimization was demonstrated for two scenarios of cost-effect parameters. © 1988-2012 IEEE.

关键词： Throughput

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Texture development and surface reconstruction of BiVO_(4)photoanode via one-pot hydrothermal reaction for enhanced photoelectrochemical water splitting

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Journal of Advanced Ceramics 2025年第3期14卷 133-141页

作者： Sung Won Hwang Yoo Jae Jeong Runfa Tan Indhujasri Saravanan Hyun Soo Han Dong Hoe Kim In Sun Cho Department of Energy Systems Research Ajou UniversitySuwon 16499Republic of Korea Department of Material Science&Engineering Ajou UniversitySuwon 16499Republic of Korea Department of Mechanical Engineering Stanford UniversityStanford 94305USA Department of Material Science&Engineering Korea UniversitySeoul 02841Republic of Korea Materials Science and Engineering Program University of Colorado BoulderBoulder 80303USA

The simultaneous optimization of the bulk and surface characteristics of photoelectrodes is essential to maximize their photoelectrochemical(PEC)*** report a novel one-pot hydrothermal synthesis of textured and surface-reconstructed BiVO_(4)photoanodes(ts-BVO),achieving significant improvements in PEC water *** controlling precursor molarity and ethylene glycol(EG)addition,we developed a stepwise dual reaction(SDR)mechanism,which enables simultaneous bulk texture development and surface *** optimized CoBi/ts-BVO photoanode exhibited a photocurrent density of 4.3 mA∙cm^(−2)at 1.23 V *** hydrogen electrode(RHE)with a high Faradaic efficiency of 98%under one sun *** with nontextured BiVO_(4),the charge transport efficiency increased from 8%to 70%,whereas the surface charge transfer efficiency improved from 9%to 85%.These results underscore the critical role of both bulk and surface engineering in enhancing PEC *** findings offer a streamlined approach for improving the intrinsic properties of photoanodes in solar water splitting.

关键词： BiVO_(4) hydrothermal texture surface reconstruction ethylene glycol(EG) photoelectrochemical water splitting

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Optimizing CdS thin films as optical windows in solar cells: A comparative study of cryogenic and classical techniques

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Applied Physics A: Materials Science and Processing 2025年第6期131卷 1-17页

作者： Manir, Melih Genç, Gamze Nevruzoglu, Vagif Tomakin, Murat Department of Energy Systems Engineering Erciyes University Kayseri38039 Turkey Energy Systems Engineering Program Graduate School of Natural and Applied Sciences Erciyes University Kayseri38039 Turkey Department of Energy Systems Engineering Recep Tayyip Erdogan University Rize53100 Turkey Research Group Erciyes University Kayseri38039 Turkey Department of Physics Recep Tayyip Erdogan University Rize53100 Turkey

In this study, CdS thin films were produced in a quasi-closed volume using two different techniques (classical and cryogenic thermal evaporation techniques) between the 100–573 K substrate temperature, and their characteristic properties (structural, electrical, and optical properties) were investigated. While CdS thin films were produced at 373 K, 473 K, and 573 K substrate temperatures in the classical technique (hot), they were produced at 100–300 K substrate temperature range with 50 K steps in the cryogenic technique (cold). The X-Ray Diffraction (XRD) analysis showed that the CdS thin films grew in a hexagonal structure in the (002) plane at all substrate temperatures. According to the field emission scanning electron microscope (FESEM) images, the thin films produced at 200 K substrate temperature consisted of equally sized spherical grains. This situation shows that the soliton growth mechanism occurs at a substrate temperature of 200 K during the film production process with the cryogenic technique. Due to the characteristic properties of the soliton waves occurring on the substrate surface in the soliton growth mechanism (mass transport), the films grow in a tight-packed form. Therefore, the produced films consist of clusters of equal size, providing a homogeneous surface and a uniform thickness. In addition, Atomic Force Microscope (AFM) and optical analyses showed that the CdS thin film produced at 200 K substrate temperature had the smallest average surface roughness value (Ra) and the highest optical transmittance value. It was found that the energy band gap (2.37–2.47 eV) and resistivity (1.25 × 103–5.39 × 103 Ω-cm) values of CdS thin films increased with decreasing substrate temperature. The carrier density increased with decreasing substrate temperature (3.91 × 1017–1.73 × 1016 cm−3). Energy Dispersive Spectroscopy (EDS) analysis showed that the films grew stoichiometrically at substrate temperatures of 473 K and 200 K. The results brought out tha

关键词： Density (optical)

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Three-dimensional surface topography analysis of die-sinking electrical discharge machined eco-friendly beryllium-free copper alloys

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International Journal of Advanced Manufacturing Technology 2025年第7期138卷 2911-2953页

作者： Vijayan, Vipin Saju, Kaiprappady Kunchu Sundaresan, Jithin Division of Mechanical Engineering School of Engineering Cochin University of Science and Technology Thrikkakkara Kerala Kochi682022 India Department of Mechanical Engineering Muthoot Institute of Technology and Science Varikoli Kerala Ernakulam682308 India Business Information Systems Program Information Systems Department School of Computing and Creative Arts Bina Nusantara University Senayan DKI Jakarta Jakarta10270 Indonesia

Beryllium-copper alloys, the most widely used copper alloys, are utilised extensively in diverse sectors, including the electrical, electronics, instrumentation, metallurgy, aerospace, automotive, petrochemical, machinery manufacturing, and die and mould-making industries. The main drawback of these alloys is that they produce the toxic component, beryllium oxide, which can lead to a chronic lung disease known as berylliosis. Beryllium-free copper alloys, such as copper-nickel-silicon-chromium, are eco-friendly, less costly, and possess properties similar to those of beryllium-copper alloys. Hence, they are now replacing beryllium-copper alloys in the applications mentioned earlier. Due to their high strength and hardness, these alloys are often fabricated into components using unconventional machining techniques, such as electrical discharge machining. Electrical discharge machining is particularly advantageous in industrial applications where precisely controlled random surface textures on these alloys are required. However, despite the industrial significance, research on the electrical discharge machining process of copper-nickel-silicon-chromium alloys is scarce. Therefore, the current work aims to address this research gap by conducting an experimental investigation of the random surfaces generated on copper-nickel-silicon-chromium alloy components after the die-sinking electrical discharge machining process through a comprehensive three-dimensional surface topography analysis. Three-dimensional surface topography parameters overcome the drawbacks of two-dimensional roughness parameters by considering the majority of surface points. This work investigates the effects of input factors, including electrode material, dielectric fluid material, flushing condition, and current on nearly all relevant areal texture (3D) parameters. ANOVA is performed to study the level of significance of each input parameter. The regression analyses reveal that current is the most si

关键词： Beryllium powder metallurgy

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