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27th Annual National Conference of the American Society for engineering Management 2006 - Managing Change: Managing People and Technology in a Rapidly Changing World, ASEM 2006

作者： Lindberg, Travis Trainor, Timothy E. Engineering Management Program Department of Systems Engineering United States Military Academy West Point United States

ISBN: (纸本)9781604237146

Establishing an effective and secure operating and logistics base under austere conditions, either at home or abroad, regardless of whether the origin of the crisis is military or strictly humanitarian in nature, is a complex mission. Unfortunately, the doctrine supporting the life-cycle management of base camp facilities is poorly codified and usually unstructured due to the disparate nature of the governmental organizations tasked with accomplishing these missions. In order to overcome this problem, the Department of systems engineering at the United States Military Academy (USMA) at West Point has developed functional and non-functional requirements for, and has partially implemented a commercial-offthe- shelf (COTS) knowledge management (KM) system that facilitates the sharing of this type of specialized information for military and civilian members of the "Base Camp Community of Practice (CoP)".

关键词： systems engineering

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Successful Digital Transformations Demand Process and Measurable Functions

Successful Digital Transformations Demand Process and Measur...

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2022 Portland International Conference on Management of engineering and Technology, PICMET 2022

作者： Pacyna, Elizabeth M. Langford, Gary O. Portland State University Systems Engineering Program Etm Department PortlandOR United States

ISBN: (数字)9781890843410

ISBN: (纸本)9781890843410

A common notion underscoring popular beliefs of organizational growth in the digital future involves transforming processes to sustain or improve operations. Although a plethora of measures and metrics abound, digital transformation must begin with a strict ontological separation into those that are counted and those that are measurable/measured. The results of organizational processes can be counted. Thus, the aim is to characterize processes as distinct from functions, where the difference provides a basis for evaluating an organization's existing and proposed processes through countable items;and developing functional performances with measurable impacts, consequences, and costs. The result is an understanding of the measured value and worth of the transformations. By applying an ontological framework, we find that measurement theory captures the losses often missed or misinterpreted when planning and executing digital transformation. Significantly, these losses also hinder work and mask the true nature of the impacts of transformation. We posit the reported 'failures' of digital transformation may implicate procedural counting and presumed measurements - both of which violate measurement theory. © 2022 PICMET.

关键词： Ontology

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Industry 4.0 and Lean Manufacturing Contribute to the Development of the PDP and Market Performance? A Framework 1

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22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2023

作者： Tardio, Paulo Roberto Schaefer, Jones Luís Gonçalves, Marcelo Carneiro Nara, Elpidio Oscar Benitez Industrial and Systems Engineering Graduate Program Pontifical Catholic University PR Curitiba Brazil

ISBN: (数字)9783031500404

ISBN: (纸本)9783031500398

To improve production processes, manufacturing companies have made efforts to implement Industry 4.0 technologies and spread the use of Lean Manufacturing (LM) tools. Besides, in addition to the improvements in production processes, these efforts have also been reflected in other issues such as in the Product Development Process (PDP) and Market Performance. In this sense, the objective of this article is to elaborate a conceptual framework covering the constructs of Industry 4.0, LM, and PDP, and to evaluate the importance of these constructs on Market Performance in manufacturing companies in the South of Brazil. The conceptual framework, elaborated with the help of high-impact articles in the area, was evaluated by managers of 111 manufacturing companies in the southern Brazil. The research showed that the implementation of LM tools is more related to the PDP than Industry 4.0 and that large companies have had more positive effects in the implementation of both Industry 4.0 technologies and LM tools. This research can serve as a guide for manufacturing companies, showing the benefits, challenges and opportunities regarding the implementation of LM and Industry 4.0 tools and technologies aiming to improve PDP and Market Performance. It is possible to observe through a structured and systemic framework. © IFIP International Federation for Information Processing 2023.

关键词： Lean production

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Education on architecture development for embedded controllers

Education on architecture development for embedded controlle...

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10th IFAC Symposium on Advances in Control Education, ACE 2013

作者： Vachhani, Leena Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay 400076 India

ISBN: (纸本)9783902823434

The performance of a control system depends on its design and implementation. Embedded controllers are the controllers designed on compact embedded systems. Embedded controllers are gaining popularity in industrial applications as the embedded system provides benefits on power consumption, size, cost etc. The education on designing architecture for embedded controllers for (Field programmable Gate Array) FPGA and Application Specific Integrated Circuits (ASIC) technologies helps in further customization. This paper presents the architecture designs for simple embedded controllers and gives a framework to design architectures for controllers. A novel approach to understand the designing architecture for embedded controller is proposed. This designing technique can be a part of a course on Embedded Control systems. © IFAC.

关键词： Embedded systems

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Framework for Improving Authenticity and Traceability in Educational Institution Evaluations in Perú Based on a Blockchain Architecture

Framework for Improving Authenticity and Traceability in Edu...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Silva, Rodrigo De La Cruz, José Wong, Lenis Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9798350327816

During emergencies like COVID-19, maintaining educational quality involves integrating non-specialized online. Therefore, a framework is proposed to improve the authenticity and traceability in the assignation of grades in online classrooms of educational institutions in Perú. The proposed framework will impact students and teachers. The former, will be able to have more confidence in their exam grades, which will avoid request to the professors to review them. The latter will trace their students learning in an organized way, which will allow them to assess them continuously. The framework consists of three phases: (1) design of the blockchain architecture, (2) design of the web application architecture and (3) implementation of the web application. It was validated with the application of two experiments made with the support of twenty Peruvian students and a survey conducted with three experts. The validation results show that the proposed framework reduces the time required for the request of study certificates by 99.96% and the survey results by the experts showed that 'Traceability','Authenticity', 'Performance', and 'Usability' obtained an average rating of 4.83 (very high), 4.7 (very high), 4 (high), and 4 (high) respectively. © 2023 IEEE.

关键词： Architecture Authenticity Blockchain Education Evaluation Framework Traceability Web applications

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Computer Vision with Cognitive Learning to Improve the Decision-Making During the Sales Process in Physical Stores 16th

Computer Vision with Cognitive Learning to Improve the Decis...

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16th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2019

作者： da Silva Ramalho, Vinícius Szejka, Anderson Luis Rudek, Marcelo Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9783030422493

In a world where the information is obtained faster than ever seem, new methods to process that high volume of data are being developed frequently. This is more notorious in a virtual ambient where the data is generated in a manner that is faster and easier to analyze than in the real world. This is very evident in the retail field, where virtual stores have easy access to all the advertisement a user visited and simple to obtain user profile, on the other hand physical stores are limited to basically create a register in a database when there is a purchase. In an attempt to improve the retailers experience from physical stores to manage their business this document has the objective to develop a computational tool that will analyze the people flux going in the establishment, trying to inform the retailer the amount of people and their gender to help the sales process in physical stores. To this end, computational vision methods and algorithms were raised, which after selection, theoretical conception and tool’s implementation it was tested with benchmarks to operate locally and in real time by accessing the cameras installed strategically in a real scenario. Two scenarios were tested: static ambient light and dynamic light. Two tests were conducted: YOLOv2 against background subtraction-based counter;gender classification using full body features. Even though the results were not as positive as needed for commercial use, the tool demonstrated potential and space for improvements. © 2019, IFIP International Federation for Information Processing.

关键词： Computer vision

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Arabic text sentiment analysis and emotion classification using transformers 11

Arabic text sentiment analysis and emotion classification us...

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11th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2023

作者： Mossad, Nada Mohamed, Youssef Fares, A. Zaky, Ahmed B. Alexandria21934 Egypt Benha University The Computer Systems Engineering Program Faculty of Engineering at Shoubra The Department of Electrical Engineering Egypt

ISBN: (纸本)9798350369328

Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims to identify the polarity of written texts, ranging from positive to negative. Meanwhile, emotion classification is focused on recognizing and categorizing the emotional states expressed in the text. To achieve a deeper understanding of sentiments and emotions, it's essential to utilize models like BERT transformers that can effectively interpret the context. The process begins with data preprocessing, including tokenization and noise removal, followed by fine-tuning techniques to adapt the BERT model to the proposed tasks. We employed the BERT model on four datasets obtained from various sources, including Twitter, news websites, and restaurant reviews, where each dataset represents a distinct Arabic dialect. Our proposed model outperforms commonly used techniques like LSTM and CNN, yielding superior results. Despite the progress made, there are still challenges to overcome, such as dealing with Arabic diacritics, the new Arabic Arabizi, which uses Latin characters, and handling Arabic idioms. Further research is required to address these challenges adequately. © 2023 IEEE.

关键词： Sentiment analysis

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AN INTEGRATED METHODOLOGY FOR FUNCTIONAL-ANALYSIS, PROCESS DESIGN AND DATABASE DESIGN

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INFORMATION systems 1991年第1期16卷 49-64页

作者： SHOVAL, P Information Systems Program Department of Industrial Engineering and Management Ben-Gurion University P.O. Box 653 Beer-Sheva 84105 Israel

A methodology that combines and integrates the major stages of information systems development is presented. The methodology is based on hierarchical data-flow diagrams which are used to perform a functional analysis of the system. This enables the conducting of process design on the one hand, and information structure analysis and database schema design on the other. Specifically, we describe a method that connects the transactions of the system (the product of the process design stage) with the record-types (the product of database design stage). This connection closes the gap between the "procedural" and "structural" aspects of the system, and enables a smooth transition to the stage of system construction. It also facilitates the designing of sub-systems and their sub-schemas. Software tools that support all stages of the methodology are reviewed, emphasizing the tool DS2DS that connects the transactions with the record-types.

关键词： FUNCTIONAL ANALYSIS PROCESS DESIGN TRANSACTIONS INFORMATION STRUCTURE ANALYSIS DATABASE DESIGN CONCEPTUAL SCHEMA SUBSYSTEM SUB-SCHEMA METHODOLOGIES SOFTWARE engineering TOOLS DATA-FLOW DIAGRAM DATA STRUCTURE DIAGRAM BINARY RELATIONSHIP MODEL

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NEURAL-NETWORK APPROACH TO SENSOR DESIGN

NEURAL-NETWORK APPROACH TO SENSOR DESIGN

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IEEE 1992 ULTRASONIC SYMP

作者： LEC, RM MUSAVI, MT PENDSE, HP AHMED, W Department of Electrical Engineering Industrial Process Control Sensor Systems(IPCoSS) Program University of Maine Orono 04469 United States Department of Chemical Engineering Industrial Process Control Sensor Systems(IPCoSS) Program University of Maine Orono 04469 United States

ISBN: (纸本)0780305620

One of the important tasks in sensor design is the development of a model for a sensing phenomena. Artificial neural networks are ideal for such a task because of their capability for representation of the mapping functions describing the processes and phenomena which are mathematically difficult or even intractable. We examined a radial basis function (RBF) neural network for modeling of acoustical properties of colloidal TiO₂ slurry. The colloidal slurry is a very complex multiphase medium. The RBF network with a set of local Gaussian functions was trained using the data from the earlier developed physical model of TiO₂ slurry. Next the TiO₂ neural model was used for a prediction of the TiO₂ particle size distribution. The resulting prediction accuracies of the RBF network was 99.8% for the data used in the training process and 88% for the data not used in the training. Compared to other available techniques neural networks can offer an effective and time efficient approach for the modeling of complex materials. © 1992 IEEE.

关键词： Titanium dioxide

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INCORPORATING A-PRIORI INFORMATION INTO MUSIC - ALGORITHMS AND ANALYSIS

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SIGNAL PROCESSING 1995年第1期46卷 85-104页

作者： LINEBARGER, DA DEGROAT, RD DOWLING, EM STOICA, P FUDGE, GL Program in Electrical Engineering EC33 The University of Texas at Dallas Richardson TX 75083-0688 USA Systems and Control Group Uppsala University Uppsala Sweden

Constrained MUSIC and beamspace MUSIC are similar algorithms in that they both require a priori information about signal directions and they both involve linear transformations on the data. Constrained MUSIC uses precise information regarding the directions of a subset of the signal directions to improve the direction estimates for the remaining signals. Beamspace MUSIC uses approximate knowledge regarding all the signal directions to reduce computational complexity and improve breakdown properties. These two methods can be combined, resulting in constrained beamspace MUSIC. We also perform asymptotic analysis of constrained and unconstrained MUSIC demonstrating that (asymptotically) improved subspace estimates always result from the use of constraints, and (asymptotically) the variance of constrained MUSIC is less than that of unconstrained MUSIC under either high coherence, large numbers of sensors, or high SNR conditions. As a part of this analysis, we study the effects of coherence on MUSIC and derive best/worst case coherences in terms of the variance of MUSIC. We also demonstrate that those conditions where the variance of MUSIC is predicted to be less than that of constrained MUSIC generally correspond to conditions where MUSIC is in breakdown (and constrained MUSIC is not). So, unconstrained MUSIC actually does not achieve its theoretically predicted advantage in those cases. While constrained MUSIC requires precise information about the known signal to improve performance when the unknown signal is very near, it can also offer performance advantages with only approximate knowledge if the unknown and known signals are not too close to each other.

关键词： DIRECTION FINDING CONSTRAINED MUSIC BEAMSPACE MUSIC

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