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Empirical testing: The prototyper's evaluation mechanism

NAVAL ENGINEERS JOURNAL 1997年第1期109卷 41-46页

作者： Hafner, AN Arnold N. Hafner Ph.D.:is founder and president of Information Systems Research (ISR). He has twenty-five years of experience in systems development and is published in the field of systems development management. He served as corporate research scientist at Systems Exploration Inc. from 1988 to 1991 program director at Computer Science Corporation from 1983 to 1988 director of operations at Republic Management Systems Corporation from 1981 to 1983 and program manager at Computer Science Corporation from 1972 to 1981. A 1962 graduate of the US. Naval Academy he holds a doctoral degree in human behavior and engineering degrees in electronics and communications. He has taught courses on information systems and systems management at most of the colleges in the San Diego area. Dr. Hafner has presented fourteen refereed research papers while publishing sixteen articles and a book A Manager's Guide to Software System Development.

Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterative stream of developer-user interactions that is replacing older approaches to testing and evaluating new military systems, which promise to reduce the time required to develop and field future military capabilities. Changes to the acquisition process, such as those the paper sketches, will facilitate the nation's rapid transit through its current revolution in military affairs.

关键词： systems analysis

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Working ratio estimation method for a long distance fixed wireless access (22 GHz band, 6.3 Mbit/s) link

Working ratio estimation method for a long distance fixed wi...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： Y. Ohmiya K. Katagishi A. Vasilache T. Asami H. Murakami K. Toraichi Doctoral Program Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba-shi Ibaraki Japan Institute of Information Sciences and Electronics University of Tsukuba Tsukuba-shi Ibaraki Japan Japan Science and Technology Corporation University of Tsukuba TARA Center Ibaraki Japan KDDI R&D Laboratories Inc. Kamifukuoka-shi Saitama Japan KDDI Corporation KDDI bldg. Shinjuku-ku Tokyo Japan

This paper discusses a method to determine the optimal node location before a long distance FWA network (22 GHz band, 6.3 Mbit/s) is set. During our 3 years experiment, we found out that the long distance FWA net with 2 links (about 60 km) was down for approximately 42 hours per year due to heavy rain fall conditions. This means that the long distance FWA net is practicable to some extent. We discuss a method to estimate the working ratio between two unknown locations using AMeDAS weather data. By using this method, an appropriate node location can be decided before FWA net is deployed. This approach can improve the working ratio in the sense of link-up continuation.

关键词： Rain Space technology Costs systems engineering and theory Research and development Laboratories Telegraphy Delay Interference Space stations

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Celebrity disclosure prompts public discourse regarding appearance changes related to breast cancer care: a content analysis of Internet comments

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Journal of Communication in Healthcare 2020年第1期13卷 64-71页

作者： Gordon, Janna R. Dial, Lauren A. Mills, Sarah D. Drizin, Julia H. Barnes, Laura E. Malcarne, Vanessa L. Klonoff, Elizabeth Vaughn, Allison Wells, Kristen J. San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology San Diego CA United States Psychology Department Bowling Green State University Bowling Green OH United States Lineberger Comprehensive Cancer Center University of North Carolina Carrboro NC United States College of Public Health and Human Services Oregon State University Corvallis OR United States Systems and Information Engineering University of Virginia Charlottesville VA United States Department of Psychology San Diego State University San Diego CA United States Moores Cancer Center University of California San Diego La Jolla CA United States College of Graduate Studies University of Central Florida Orlando FL United States

Background: In an op-ed posted on the New York Times (NYT) website, Angelina Jolie disclosed that she carries the BRCA1 genetic mutation and received a preventive mastectomy. Studies have since demonstrated a positive impact of Ms. Jolie's disclosure on breast cancer-related health behaviors. This qualitative study used conventional content analysis of comments to the op-ed to explore intermediate outcomes of the disclosure;specifically, how the disclosure influenced public discourse regarding appearance changes related to breast cancer surgery. Method: After downloading all comments from the NYT website and using an iterative process to develop a standardized codebook, two researchers applied the codes using NVivo 10. Result: Five subthemes were identified in sixty-one comments discussing physical appearance or body image in the context of breast cancer treatment or preventive care: appearance versus health, perception of breast appearance following surgery, partner acceptance of appearance following surgery, beliefs about others’ reactions regarding appearance, and beliefs about reconstructive surgery. While some commenters shared body image concerns following surgery, many were relieved to have undergone the procedure, valuing health over appearance. Most women stated that their romantic partners praised their appearance following surgery, although some worried about how they were perceived in public. Conclusion: This study clarifies how celebrity disclosures about cancer may influence intermediate outcomes (e.g. interpersonal communication and beliefs about appearance-related surgical outcomes) hypothesized to contribute to changes in cancer prevention and treatment behaviors. More research is needed to further elucidate the relationships between celebrity disclosure, intermediate outcomes, and behavioral outcomes. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

关键词： appearance concerns body image Breast neoplasms celebrity disclosure mass media mastectomy online discussion online forum

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Risk profile for E-Rapor services for public high school

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AIP Conference Proceedings 2024年第1期3165卷

作者： Dinar Mutiara Kusumo Nugraheni Tamara Tamara Andi Kurniawan Nugroho Doctoral Program in Information Systems School of Postgraduate Studies Diponegoro University Jl. Prof Sudarto S.H. Tembalang Semarang 50275 Indonesia Department of Electrical Engineering Universitas Semarang Jl. Soekarno-Hatta Tlogosari Semarang Jawa Tengah Indonesia

The Indonesian government has implemented E-Rapor to be employed in Indonesia since 2016. During 2016 until 2022 the usage of E-Rapor has identified some risk issues from the school perspective. Therefore, this research aims to identify the risk of the usage of E-Rapor. The research method for this study is to use a case in one of the public high schools in Jakarta, Indonesia. The usage of E-Rapor started in 2016. The E-Rapor system’s objective is to give easy access to students’ result data (evaluation card) to the central government (DAPODIK), school principals, teachers, and student’s parents. However, the implementation of the E-Rapor system has created some risk However, implementing E-Rapor in Schools has created issues among teachers. Therefore, this research proposes a study to identify the risk of the E-Raport system adopting COBIT 2019. The risk profiles are identified only on the governing E-Rapor in School. The case study research was conducted in SMAN 61 Jakarta. The result shows that types of risks that occur in High School are lack of IT Expertise, lack of Standard Operating Procedures, and issues with E-Rapor usage. After recognizing the risk, this study also proposes a strategy for overcoming the risk. The High School needs to be concerned on the area of Managing Human Resources (APO7), Domain DSS03 (Managing Issues), and Domain DSS05 (Managing Security Services)

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Modelling and reducing fuel flow pulsation of a fuel-metering system during pump mode switching in a turbofan engine

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IOP Conference Series: Earth and Environmental Science 2019年第5期240卷

作者： S Masuda F Shimizu M Fuchiwaki K Tanaka Control Systems Engineering Department Research & Engineering Division Aero Engines Space & Defense Business Area IHI Corporation 229 Tonogaya Mizuho-machi Nishitama-gun Tokyo 190-1297 Japan Department of Computer Science and Systems Engineering Doctoral Program Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 kawazu Iizuka-shi Fukuoka 820-8502 Japan Department of Mechanical Information Science and Technology School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 kawazu Iizuka-shi Fukuoka 820-8502 Japan

In this research, the transient characteristics of a new type fuel metering system for aircraft turbofan engines using two types of pumps, a gear pump and a centrifugal pump, were studied by modelling and simulation. This new fuel metering system is capable of hydraulically unloading the operating state of each pump by the pump mode switching mechanism within the permissible range of the pump rotation speed and the fuel flow rate and it is possible to reduce the fuel temperature rise due to the pressure loss in the circuit in the operation region of the entire fuel system. In addition to this, by using a small centrifugal pump that can realize high discharge flow rate, it is possible to reduce weight compared to the conventional fuel system. However, when the pump mode is switched, unexpected fluctuation in the fuel flow rate can occur when a large change in the inlet pressure of the system occurs, the pressure control unit cannot follow the change, and the transient phenomenon cannot be suppressed. At this time, the pressure waveform generated at the time of changing the pump mode includes a high frequency component such that the pressure control unit, which plays a role of keeping the metering valve differential pressure constant, cannot follow up. Therefore, in this paper, we focused on the frequency of the pressure change waveform when the pump mode was changed and studied the model of the fuel system inlet pressure in the gear pump mode. Based on that model, we propose a method to reduce the frequency characteristics of the pressure change occurring at the time of pump mode change.

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A Moment-Based Method for Large-Scale Generalized Eigenvalue Problems

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Applied Numerical Analysis & Computational Mathematics 2004年第2期1卷

作者： Tetsuya Sakurai Hiroto Tadano Yuichi Inadomi Umpei Nagashima Department of Computer Science University of Tsukuba Tsukuba 305-8573 Japan Core Research for Evolutional Science and Technology Japan (CREST) Doctoral Program of Systems and Information Engineering University of Tsukuba Tsukuba 305-8573 Japan Grid Technology Research Center National Institute of Advanced Industrial Science and Technology Tsukuba 305-8568 Japan

In this paper we consider a method for finding several eigenvalues and corresponding eigenvectors of large-scale generalized eigenvalue problems. In this method, a small matrix pencil that has only the desired eigenvalues is derived using complex moments obtained via numerical integration. Since the process to derive the moments can be performed in parallel and we do not need to exchange data between processes, the presented method is suitable for master-worker programming models. We have implemented and tested the proposed method in a grid RPC (remote procedure call) system. Numerical examples illustrate the properties of our approach. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

关键词： Eigenvalue problems moment-based method parallel algorithm

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Prediction of traffic congestion based on time series dataset number of vehicles using neural network algorithm

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AIP Conference Proceedings 2024年第1期2982卷

作者： Prasetyo Wibowo Yunanto Rahmat Gernowo Oky Dwi Nurhayati Doctoral Program of Information System Diponegoro University Jl. Imam Bardjo SH No.5 Semarang Indonesia Information Systems and Technology Universitas Negeri Jakarta Jl. Rawamangun Muka Jakarta Indonesia Department of Physics Diponegoro University Jl. Prof. H. Soedarto Semarang Indonesia Computer Engineering Department Diponegoro University Jl. Prof. H. Soedarto Semarang Indonesia

The increasing number of vehicles that was not accompanied by an adequate road infrastructure readiness causes traffic jams. Traffic jams often occur repeatedly every day, especially at certain times, such as when people are going to and from work. The same traffic jams can also occur at the beginning or the end of the week; this usually repeats every week. As a result, if the congestion dataset is known, the repeating traffic congestion for daily and weekly congestion can be anticipated. In this study, traffic congestion predictions are modeled using the Neural Network Algorithm based on traffic congestion data collected within 24 hours for one to two weeks. The parameters used in optimizing Neural Network performance are learning rate, momentum, and epochs (training cycles). Based on these experiments, the Neural Network Algorithm successfully modeled traffic density patterns which are recurring congestion patterns, with quite good results.

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Text data labeling process for semi-supervised learning modeling

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AIP Conference Proceedings 2024年第1期3165卷

作者： Ahmad Abdul Chamid Widowati Widowati Retno Kusumaningrum Doctoral Program in Information Systems School of Postgraduate Studies Diponegoro University Jl. Prof Sudarto S.H. Tembalang Semarang 50275 Indonesia Department of Informatics Engineering Faculty of Engineering Muria Kudus University Jl. Lingkar Utara UMK Gondangmanis Kudus 59327 Indonesia Department of Mathematics Faculty of Science and Mathematics Diponegoro University Jl. Prof Sudarto S.H. Tembalang Semarang 50275 Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro University Jl. Prof Sudarto S.H. Tembalang Semarang 50275 Indonesia

To develop a semi-supervised learning model, it is necessary to have a little labeled data and a lot of unlabeled data. The data labeling process requires great effort and must involve experts. In the process of labeling text data requires a linguist to do the labeling. In this study using text data in the form of marketplace user reviews, in general the data is still dirty and data preprocessing needs to be done. The data preprocessing techniques applied are normalization, tokenization, stopword removal, and stemming. After the data goes through the preprocessing stage, labeling is carried out by involving more than one linguist. The results of the labeling that have been carried out by linguists will be carried out a consistency test process by applying the Cohen Kappa method. The data that has been labeled by 2 linguists is 820 data, after the consistency test is obtained the delivery aspect with a kappa value of 1, the service aspect with a kappa value of 0.960, the quality aspect with a kappa value of 0.981, the size aspect with a kappa 0.997, the color aspect with a kappa value of 1. Based on the results of the consistency test from the 2 experts for the 5 aspects, consistent results were obtained. So that the data that has been labeled can be used as training data to carry out the process of developing a semi-supervised learning model. A series of labeling processes up to consistency testing will be the main basis for developing a semi-supervised learning model.

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Preventing bad behavior in academia

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四川生理科学杂志 2024年第7期46卷 1615-1615页

作者： Rayane da Cruz Albino Faculty of Pharmacy Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil. Department of Host-Microbe Interactions St. Jude Children’s Research Hospital Memphis TN USA. School of the Environment The University of Queensland Whiterock QLD Australia. KU Leuven Ghent Belgium. Laboratory for Computational Social Systems Indraprastha Institute of Information Technology Delhi New Delhi India. University Medical College Shantou Guangdong China. Department of Ecoscience Aarhus Universitet Aarhus Denmark. Institute of Environment and Sustainable Development Banaras Hindu University Varanasi Uttar Pradesh India. Department of Medical Parasitology Faculty of Medicine and Health Sciences Sana’a University Sana’a Yemen and Tropical Disease Research Center Faculty of Medicine and Health Sciences University of Science and Technology Sana’a Yemen. Department of Medicine University of Montreal Montreal QC Canada. Electricity Infrastructure and Buildings Division Pacific Northwest National Laboratory Portland OR USA. Department of Biological Sciences University of New Brunswick Saint John Saint John NB Canada. Department of Biomedical Engineering The University of Melbourne Melbourne VIC Australia. Vagelos Molecular Life Sciences Program University of Pennsylvania Philadelphia PA USA. Doctoral Program in Neurobiology and Behavior Columbia University New York NY USA. Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA. Department of Engineering University of Cambridge Cambridge Cambridgeshire UK. Department of Geography Liverpool John Moores University Liverpool UK. Department of Biology Stanford University Stanford CA USA. Department of Psychology University of Nicosia Nicosia Cyprus. Department of Global Ecology Carnegie Institution for Science Stanford CA USA. Research and Support Division Stellenbosch University Cape Town South Africa.

We gave young scientists this prompt:Describe one change to scientific policy or culture that would substantially decrease incidents of scientific misconduct or other unethical behavior.

关键词： behavior. prompt culture

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Author Correction: Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis

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Nature communications 2023年第1期14卷 6540页

作者： Hitomi Takada Yohei Sasagawa Mika Yoshimura Kaori Tanaka Yoshimi Iwayama Tetsutaro Hayashi Ayako Isomura-Matoba Itoshi Nikaido Akira Kurisaki Laboratory of Stem Cell Technologies Graduate School of Science and Technology Nara Institute of Science and Technology Takayama-cho Ikoma Nara Japan. Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research Wako Saitama Japan. Department of Functional Genome Informatics Biological Data Science Medical Research Institute Tokyo Medical and Dental University Bunkyo Tokyo Japan. Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research Wako Saitama Japan. itoshi.nikaido@riken.jp. Department of Functional Genome Informatics Biological Data Science Medical Research Institute Tokyo Medical and Dental University Bunkyo Tokyo Japan. itoshi.nikaido@riken.jp. Master's/Doctoral Program in Life Science Innovation (Bioinformatics) Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan. itoshi.nikaido@riken.jp. Laboratory of Stem Cell Technologies Graduate School of Science and Technology Nara Institute of Science and Technology Takayama-cho Ikoma Nara Japan. akikuri@bs.naist.jp.

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