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Determination of an implementation order for IS projects

information & MANAGEMENT 1996年第2期31卷 67-74页

作者： Shoval, P Giladi, R Information Systems Program Department of Industrial Engineering and Management Faculty of Engineering Sciences Ben-Gurion University of the Negev Beer-Sheva 84105 Israel

The process of information systems (IS) planning in an organization occurs when there is a set of IS projects that require implementation, generally within certain time frames and budgetary constraints. We propose a method for determining an optimal order of project implementation. The proposed method utilizes the cost-benefit graph, which considers the expected cost and benefit of each of the projects comprising the set, as well as the weight (importance) of the cost and benefit factors to the decision-makers. The method allows us to analyze the sensitivity of a preferred implementation order to changes in cost and benefits, and the importance of these factors.

关键词： cost-benefit analysis cost-benefit graph decision-making process information systems planning and selection project management

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Interaction Modeling for High-Dimensional Mixed Data with Numerical and Categorical Features 28th

Interaction Modeling for High-Dimensional Mixed Data with Nu...

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28th International Conference on Knowledge Based and Intelligent information and engineering systems, KES 2024

作者： Hoshinoa, Sara Itoa, Taiki Matsuzawaa, Takuya Ozawaa, Haruki Arimab, Sumika Degree Program in Systems and Information Engineering University of Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Japan

This study aimed to develop an interaction modeling method for high-dimensional industrial data with sparsity. Particularly, we discussed the potential and limitations of Sparse Factorization Machines (SFM) with feature selection capabilities after examining the applicability of Factorization Machines (FMs) to numerical and categorical mixed data like industrial data. FMs has been already a major recommendation engine outperforms SVM because of robustness to the sparse data. However, conventional FMs and SFM based on the L2 norm regularization tolerate huge False-Positives (FPs), which is fatal in the application to real data to which the oracle model is unknown. Therefore, in this study, we focus on the way to automatically reduce the several millions of FPs in interactions while keeping high True-Positives (TPs). For the purpose, SFM with trigonometric inequality (TI) upper boundaries (Atarashi et al., 2021) is improved by two directions. The first is the development of TI_SFM (L1) with an L1 norm for selection of main factors, particularly for FPs reduction of the main factors. The second is the application of adaptive technique for reducing FPs of interactions (combinatorial features). We newly developed "Adaptive SFM" with adaptive technique to introduce data-driven penalty of the interaction term. As the result of numerical evaluations using a mass production oracle interaction model and several simulation data, False-Positives of the main factors (F) and the interactions (F) are significantly reduced, while keeping high level of True-Positives of the main factor () and the interactions (). Concretely, our proposed Adaptive SFM (L1) outperforms the original TI_SFM (L2) as much reducing F and F by over 99% when applying our proposed penalty considering not only the relationship between the explanatory variable and the objective variable, as basic adaptive technique, but also the factor loading indicating the relationship between the latent vector internally opt

关键词： Factorization

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The design and implementation of a corporate householding knowledge processor to improve data quality

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JOURNAL OF MANAGEMENT information systems 2003年第3期20卷 41-69页

作者： Madnick, S Wang, R Xian, X John Norris Maguire Professor of Information Technology at the Sloan School of Management MIT Professor of Engineering Systems School of Engineering MIT Co-Director for MIT Total Data Quality Management Program Director MIT Information Quality Program Oracle Corporation

Advances in corporate householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications and knowledge exploration. Then we outline a technical approach to a corporate householding knowledge processor (CHKP) to solve a particularly important type of corporate householding problem-entity aggregation. We illustrate the operation of the CHKP by using a motivational example in account consolidation. Our CHKP design and implementation uses and expands on the COntext INterchange (COIN) technology to manage and process corporate householding knowledge.

关键词： context mediation corporate household corporate householding database interoperability data quality enterprise knowledge management

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AN APPROACH TO NONLINEAR FEEDBACK-CONTROL WITH APPLICATIONS TO ROBOTICS

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IEEE TRANSACTIONS ON systems MAN AND CYBERNETICS 1984年第6期14卷 879-884页

作者： GILBERT, EG HA, IJ Department of AeroSpace Engineering Robot Systems Division University of Michigan Ann Arbor MI USA Computer Information and Control Engineering Program Robot Systems Division College of Engineering University of Michigan Ann Arbor MI USA

A control problem involving a mechanical system with generalized coordinates q ∈ R m is considered. The error in tracking a desired input y d ∈ R p is e = E (q,y d )∈ R m . If E satisfies simple conditions, it leads to a nonlinear control law that assures e (t)→0 as t →∞. The law is robust in that small changes in it do not produce large steady-state errors or loss of stability. In this theory a unified framework is presented for treating a number of problems in the control of mechanical manipulators.

关键词： Manipulators Measurement uncertainty Vectors Joints Approximation methods Feedback control

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Innovative Solutions in Breath Alcohol Measurement for Improving Road Safety

Innovative Solutions in Breath Alcohol Measurement for Impro...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Patiyuth Pramkeaw Pimyada Suksomboon Warit Leangruttananon Thittaporn Ganokratanaa Davids Makararpong Narumol Chumuang Worawut Yimyam Chayawee Angsusingha Adil Farooq Mahasak Ketcham Media Technology Program King Mongkut's University of Technology Thonburi Bangkok Thailand Faculty of Science King Mongkut's University of Technology Thonburi Bangkok Thailand Thailand Business school The University of the Thai Chamber of Commerce Bangkok Thailand Digital Media Technology Muban Chombueng Rajabhat University Ratchaburi Thailand Business Information Management Phetchaburi Rajabhat University Phetchaburi Thailand The national broadcasting and Telecommunications Commission Bangkok Thailand Department of Electronic Engineering Maynooth University Ireland Management of Information Systems King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331533267

ISBN: (纸本)9798331533274

This research presents the development and evaluation of a breath alcohol measurement device utilizing the MQ-3 alcohol sensor and an Arduino Nano-based control system. The primary objective was to design an accurate and reliable system for detecting breath alcohol concentration, with real-time feedback provided through an OLED display and an active buzzer for alerts. The device operates by measuring the alcohol concentration in the breath and converting the sensor data into parts per million (ppm). When the alcohol concentration exceeds the predefined threshold of 5% ABV, the system activates an audible alarm via the buzzer and displays the corresponding ppm value on the OLED screen. A series of tests were conducted with eight volunteers who consumed varying amounts of alcohol. The results demonstrated the system's high accuracy and responsiveness, with the ability to detect alcohol concentrations ranging from safe levels to dangerous thresholds. The device was tested multiple times to ensure consistency and minimize errors, with the final results confirming its effectiveness in providing reliable alcohol measurements. This system holds significant potential for applications in monitoring alcohol levels in drivers and individuals involved in safety-critical activities. The research underscores the importance of real-time alcohol detection systems in enhancing public safety and ensuring compliance with safety regulations.

关键词： Accuracy Measurement uncertainty Organic light emitting diodes Control systems Real-time systems Public security Nanoscale devices Monitoring Vehicles Testing

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Image-Multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing 15th

Image-Multimodal Data Analysis for Defect Classification: Ca...

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15th International KES Conference on Intelligent Decision Technologies, KESIDT 2023

作者： Itou, Hiroki Watanabe, Kyo Arima, Sumika Degree Program in Systems and Information Engineering University of Tsukuba Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan

ISBN: (纸本)9789819929689

The final goal of this study is an integrated approach of walk-through from the classification of defect products to the feature estimation for preventing the cause of the defects in real-time or proactively. Particularly, this paper introduced the multimodal data analyses to classify the defect images of final products more accurate with inspection logs and factory process data in integrated manner. Particularly, this paper focused on the industrial printing case in which the tiny and faint defects are difficult to be classified accurately. Motivation of this study is to clarify the possibility of image-wise classification instead of pixel-wise semantic segmentation of high annotation cost as well as low accuracy in partial of the similar shape classes in our previous study. It was introduced and numerically evaluated that various data augmentation as pre-process for imbalanced and small samples issue, image-multimodal data analyses with inspection log and/or the factory data, and ensemble of the multimodal and non-multimodal networks. As the result, the maximum accuracy of multimodal analyses is 79.37% of the model with test log and process data with 10 times augmented data. In addition, a confidence-based ensemble model with conditional branch results more accurate, 81.22% in summary of all classes. It is better than segmentation approach of pixel-wise in the previous study. Moreover, importance of additional variables is visualized as cause after multimodal analysis as aimed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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Image-Multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patterns 15th

Image-Multimodal Data Analysis for Defect Classification: Ca...

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15th International KES Conference on Intelligent Decision Technologies, KESIDT 2023

作者： Takada, Daisuke Itou, Hiroki Ohta, Ryo Maeda, Takumi Watanabe, Kyo Arima, Sumika Degree Program in Systems and Information Engineering University of Tsukuba Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan

ISBN: (纸本)9789819929689

The final goal of this study is an integrated approach of walk-through from the classification of defect products to the feature estimation for preventing the cause of the defects in real-time or proactively. Particularly, this paper will introduce the multimodal data analytics in production process integrations to analyze the classification of defect patterns of final product quality and the defect cause impact in integrated manner. There are three steps to summarize the possibilities and limitations of the multimodal data analyses. The first step is the accuracy improvement of the classification of the multi-class defect patterns of images at lower cost by using additional feature/data substituting human-being domain knowledge. That is also to prepare more accurate and effective classifications of superposition pattern of small samples data. The second step is adaptive selections and estimations of important features including interactions and variety within a practical computational time and accuracy. The third step is an integrated approach of walk-through from the classification to the feature estimation for proactively preventing the causes of the defect. As the first report, this paper introduces the first and the third issues through a case study. Particularly, this paper presents the semiconductor defect patterns case. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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SOME EFFICIENT ALGORITHMS FOR A CLASS OF ABSTRACT OPTIMIZATION PROBLEMS ARISING IN OPTIMAL CONTROL

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1969年第6期AC14卷 640-+页

作者： BARR, RO GILBERT, EG Department of Electrical Engineering and Systems Science Michigan State University East Lansing MI USA Computer Information and Control Engineering Program University of Michigan Ann Arbor MI USA

Three abstract optimization problems are presented along with doubly iterative algorithms for their numerical solution. These algorithms are generalizations of particular algorithms described by Barr and Gilbert [19], [21] and Fujisawa and Yasuda [22]. The supporting theory is fully developed along with proofs of convergence. Practical aspects of computations are considered and procedures which insure rapid convergence are discussed. Two applications to discrete-time optimal control problems are described.

关键词： Optimal control Iterative algorithms Projection algorithms Dynamic programming Nonlinear equations Gradient methods Functional programming Boundary conditions Military computing Convergence of numerical methods

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Grid environment for computational astrophysics driven by GRAPE-6 with HMCS-G and OmniRPC

Grid environment for computational astrophysics driven by GR...

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19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

作者： Boku, Taisuke Onuma, Kenji Sato, Mitsuhisa Nakajima, Yoshihiro Takahashi, Daisuke Graduate School of Systems and Information Engineering University of Tsukuba Center for Computational Sciences University of Tsukuba Doctoral Program of Systems and Information Engineering University of Tsukuba

ISBN: (纸本)0769523129

In computational astrophysics, the effect of gravity is essential even with very heavy computation of O(N2) for N particles. Several special purpose machines have been implemented as gravity engine to handle this problem extremely fast, however there are few sites in the world to operate such systems. We have developed a grid environment to access such a system based on grid-RFC, named HMCS-G. Using HMCS-G, a multi-physical computational astrophysics simulation can be performed with the combination of a PC-cluster and the gravity engine GRAPE-6. In typical size of problems for galaxy formation, however, the computation power of PC-cluster is much weaker than that of GRAPE-6, and we need multiple sets of PC-clusters to share the power of GRAPE-6 on grid environment. We have developed such a system using OmniRPC, a grid-enabled RPC system. In this system, OmniRPC are used both to distribute jobs for parameter search on multiple PC-clusters and to access GRAPE-6 server from these clusters. We performed an actual problem to search several formations of galaxy on this system, and confirmed such a solution is useful for wide variety of computational astrophysics research.

关键词： Distributed computer systems

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Toward Parallelization Technique for Stream-based Lossless Data Compression

Toward Parallelization Technique for Stream-based Lossless D...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Kato, Taiki Yamagiwa, Shinichi Wada, Koichi Master's Program in Computer Science Degree Program in Systems and Information Engineering University of Tsukuba Ibalaki Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Ibalaki Tsukuba Japan

ISBN: (纸本)9798350324457

IoT edge platform has become popular in various distributed environments. The edge devices need to communicate BigData among them or with the cloud servers by collaborating with AI technologies for finding events from the applications. Those devices exchange data streams from such as distributed sensors and remote image/video devices. We focus on an acceleration technique for the communication performance using a stream-based lossless data compression technology. This paper proposes a parallelization technique for the compression process in a software environment running on a multicore processor. The technique invokes concurrent compression processes assigned to multiple threads with splitting a data stream to chunks. The paper exposes three scheduling methods for assigning the chunks to the threads: in-order, hybrid and out-of-order. As an original data order of chunks must be obtained in decompression side, the proposed technique introduces packeting mechanisms in each chunk by adding headers to support the scheduling methods. Through experimental performance evaluations, we discuss the packeting overhead focusing on compression ratio and speedup by the parallelization with three scheduling methods. © 2023 IEEE.

关键词： Data Stream IoT Lossless Data Compression Multi-Threading Parallelization

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