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113th Annual ASEE Conference and Exposition, 2006

作者： Rabelo, Luis Hernandez, Ethling Crumpton-Young, Lesia Eskandari, Hamidreza Sala-Diakanda, Serge Furterer, Sandra Williams, Kent University of Central Florida United States Department of Industrial Engineering and Management Systems University of Central Florida Orlando FL United States Engineering Management Program College of Engineering and Computer Science Industrial Engineering Society Department of Industrial Engineering and Management Systems College of Engineering and Computer Science University of Central Florida Orlando FL United States Department of Industrial Engineering and Management Systems University of Central Florida United States Industrial Engineering and Management Systems Department College of Engineering and Computer Science University of Central Florida United States

The primary purpose of this study was to identify the desired characteristics of an undergraduate Industrial Engineer as an entry-level employee, and to determine the emerging topic areas that should be incorporated into the reengineered curriculum. This research study will help determine the future focus on curriculum development to be more responsive to the needs and requirements of industry. This paper will explain the process to validate and obtain the different emerging topics. The principal research method employed was a modified three round Delphi study that targeted Industry and Academia. The research findings obtained from the first round of the study are discussed that identify the desired characteristics, and the most important emerging topics to be incorporated into the reengineered curriculum. © American Society for engineering Education, 2006.

关键词： Industrial engineering

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Diabetes Classification Using Support Vector Machine: Binary Classification Model 4

Diabetes Classification Using Support Vector Machine: Binary...

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4th International Conference on Information and Communications Technology, ICOIACT 2021

作者： Rabiha, Suciana Ghadati Wibowo, Antoni Lukas Heryadi, Yaya Computer Science Department BINUS Graduate Program-Doctor of Computer Science. Information Systems Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University 11480 Indonesia Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University 11480 Indonesia

ISBN: (纸本)9781665433945

One of the health problems that require special attention is diabetes, besides the growth of this disease infection is increasing in various circles ranging from children, adults, men, women and the elderly. So to detect diabetes at an early stage, machine learning algorithms are the right choice to help detect indications of diabetes. This paper presents experimental results related to the exploration of the use of a Super Vector Machine (SVM) for data classification of Diabetes. The model used in this experiment is the Binary Classification Model. Based on the test results, the highest accuracy is obtained by using a total of 700 lines of data, which is 75,7143%. The Best estimated feasible point in Box Constraint is 272.29 with a KernelScale area of 72.627. © 2021 IEEE

关键词： Face recognition

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Hybrid Cryptography on Wireless Sensor Network: A Systematic Literature Review 3

Hybrid Cryptography on Wireless Sensor Network: A Systematic...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Gandara, R. Benny Wang, Gunawan Utama, Ditdit Nugeraha Mereu Buana University Master Program of Electrical Engineering Jakarta Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Wireless technology gradual growth in the latest years has facilitated it to bridge its applications operated extensively in many types of industry. Wireless sensor network (WSN) technology brings several benefits over traditional wired technology by reason of the lower cost, immense flexibility escalation, and scalability which is able to be obtained from the old-style one. However, in its application WSN still experience some constraints on resource limitations in the form: processor, memory and energy, and any more challenges that related to availability, reliability and security. Based on its benefits, limitation, and challenges, and also three systematic stages, the review study was performed. The result of study was portrayed in this paper. It is regarding investigation result of hybrid cryptography (HC, as one of defense methods) realized for WSN to methodically increase the security level and decrease the resources usage. The result concluded that HC was proven in escalating the security defense level and downgrading the resources use on WSN compared to symmetric and asymmetric algorithms. © 2018 IEEE.

关键词： Wireless sensor networks

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Changing power generation portfolios of U.S. utilities towards renewables

Changing power generation portfolios of U.S. utilities towar...

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Annual International Conference of the American Society for engineering Management 2011, ASEM 2011

作者： Sireli, A. Yesim Ozan, Erol Systems Engineering and Engineering Management Program University of North Carolina Charlotte United States Department of Technology Systems College of Technology and Computer Science East Carolina University Greenville NC United States

ISBN: (纸本)9781618393616

This research examines U.S. electric utilities' transition from closed to open systems, while taking steps towards market orientation and subsequent changes in their product portfolios. It lists the reasons driving this change and includes a detailed analysis of the current product portfolios of the U.S. utilities focusing on adding more renewable energy sources. Copyright, American Society for engineering Management, 2011.

关键词： Electric utilities

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Success Factors of the Blockchain Adoption for Smart Manufacture

Success Factors of the Blockchain Adoption for Smart Manufac...

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2018 International Seminar on Research of Information Technology and Intelligent systems, ISRITI 2018

作者： Surjandy Fernando, Erick Meyliana Kosala, Raymond Warnars, Harco Leslie Hendric Spits Abdurachman, Edi Supangkat, Suhono Harso Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Audit Program Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781538674222

Currently, the discussion about smart city becomes a trend topic in which the development of the Internet of Thing (IoT) is used in various sectors including in the manufacturing sector where the Indonesian government is intensively increasing the capacity and production quality. The use of IoT in both smart manufacture and smart city become an interesting thing topic for research and the combination of the new technology Blockchain, may proof the reliability of data. Trust, transparent, secure, real time online process as a new phenomenon to merge IoT with Blockchain technology into smart manufacturing technology. However, for maintaining quality and sustainability, required technology governance so the achievement of implementation can be done well. This research uses the method called Systematic Literature Review (SLR) find the Blockchain adoption factors for Smart Manufacturing Technology Governance and the research conducted on several reputable publications. The result found, there are 35 adoption success factors found from the adoption of blockchain technology into smart manufacture industry. The influence of the technology governance process in smart manufacture industry increase sustainability, realtime and accurate decision making for the industry. © 2018 IEEE.

关键词： Manufacture

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Expressive secondo performances of a realtime person-computer ensemble system

Expressive secondo performances of a realtime person-compute...

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4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012

作者： Mizutani, Tetsuya Shinagawa, Yuki Murakami, Naoki Igarashi, Shigeru Faculty of Engineering Information and Systems University of Tsukuba Japan Master's Program in Computer Science University of Tsukuba Japan University of Tsukuba Japan

ISBN: (纸本)9783642334771

A person-computer ensemble system is one of time concerned cooperative systems, which performs the secondo in an ensemble played by a computer-controlled piano cooperating with the primo played by a person musician. For expressive performances, it is necessary to prepare very expressive secondo data before the actual cooperative performance, since the system is modified its expression in realtime using the agogic information calculated from the input stream of the primo. In this paper, a generating method of more expressive performance of the secondo, using the notions musical structures and structural functions, are introduced. © 2012 Springer-Verlag.

关键词： computers

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A Learning Identification Algorithm And Its Application To An Environmental System

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IEEE Transactions on systems, Man and Cybernetics 1975年第2期SMC-5卷 226-240页

作者： Duffy, John J. Franklin, Mark A. Control Systems Science and Engineering Program Center for the Biology of Natural Systems Washington University St. Louis Mo. 63130 United States Departments of Electrical Engineering Computer Science Center for the Biology of Natural Systems Washington University St. Louis Mo. 63130 United States

An empirical heuristic learning identification algorithm of Ivakhnenko was modified and used to model an environmental system producing high nitrate levels in agricultural drain water in the Corn Belt. The method amounts to fitting a polynomial to a multi-input single-output response surface. The modifications result in a reduced number of terms in final model equations, a decrease in computational difficulties, and other improvements in the algorithm. This method appears to be advantageous with systems characterized by complexity with many variables and parameters, ill-defined mathematical structures, and limited data. In other words, this algorithm is useful for empirically generating hypotheses about systems of which relatively little is known. © 1975 IEEE. All rights reserved.

关键词： Polynomials Surface fitting Predictive models Nonlinear systems Response surface methodology Equations Algorithm design and analysis Heuristic algorithms Linear systems Belts

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Vibration-based classification of road damages: Gyroscope data and a simple neural network model 2

Vibration-based classification of road damages: Gyroscope da...

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2nd International Conference on Eco engineering Development 2018, ICEED 2018

作者： Gunawan, Fergyanto E. Herriyandi Soewito, Benfano Mauritsius, Tuga Surantha, Nico Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Neural network models

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Supporting the Automated Generation of Acceptance Tests of Process-Aware Information systems 19

Supporting the Automated Generation of Acceptance Tests of P...

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19th International Conference on Web Information systems and Technologies, WEBIST 2023

作者： Paiva, Tales M. Oliveira, Toacy C. Pillat, Raquel M. Alencar, Paulo S.C. Computer and Systems Engineering Program Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Software Engineering Program Universidade Federal do Pampa Alegrete Brazil Cheriton School of Computer Science University of Waterloo Waterloo Canada

ISBN: (纸本)9789897586729

Software quality assurance is a crucial process that ensures software products meet specified requirements and quality standards. Achieving an exhaustive test coverage is essential for quality assurance, particularly in complex and dynamic Process-Aware Information systems (PAIS) built upon the Business Process Model and Notation (BPMN). Manual testing in such systems is challenging due to many execution paths, dependencies, and external interfaces. This paper proposes a model-based testing strategy that uses BPMN models and build specifications as input to generate a Robotic Process Automation (RPA) script that automates a comprehensive User Acceptance Test procedure. Leveraging on Robotic Process Automation (RPA) to automate user interactions allows for reducing the need for testers to manually input PAIS-related information when handling user forms. We also present a Case Study to demonstrate the feasibility of our approach. Copyright © 2023 by SCITEPRESS - science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Acceptance tests

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Identifying opinionated sentences

Identifying opinionated sentences

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2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003

作者： Wilson, Theresa Pierce, David R. Wiebe, Janyce Intelligent Systems Program University of Pittsburgh United States Department of Computer Science and Engineering University of Buffalo The State University of New York United States Department of Computer Science University of Pittsburgh United States

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