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Industrial machine vision: lessons and challenges

Optics News 1987年第2期13卷 12-17页

作者： Steven W. Holland Robert B. Tilove STEVEN W. HOLLAND is an assistant department head in the Computer Science Dept. of General Motors Research Laboratories (GMR). He is responsible for research projects involving computer vision robotics mobile robotics process planning knowledge systems natural language advanced programming environments parallel processing and statistics. ROBERT B. TILOVE is senior staff research scientist and project leader of the machine perception project at GMR. His research interests include geometric modeling model-based programming and control of intelligent automation systems.

No abstract available.

关键词： Integral imaging Machine vision Measurement and metrology Optical systems Sensors Statistics

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Exploring Indonesian Netizen's Emotional Behavior Through Investment Sentiment Analysis Using TextBlob-NLTK (Natural Language Toolkit)

Exploring Indonesian Netizen's Emotional Behavior Through In...

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2022 International Seminar on Application for Technology of Information and Communication, iSemantic 2022

作者： Talahaturuson, Esther Gumelar, Agustinus Bimo Gabriel Sooai, Adri Sueb, Sueb Suprihatien, Suprihatien Altway, Hikmah Ali Septi Ngudi Lestari, Chatarini Darmajanti, Perwi Fanani, Urip Zaenal Hariyanti, Tuty Nilowardono, Sengguruh Sulistiyani, Sulistiyani Universitas Narotama Fakultas Ilmu Komputer Surabaya Indonesia Dept. of Electrical Engineering Surabaya Indonesia Universitas Katolik Widya Mandira University Centre of Excellence in Artificial Intelligence for Tourism & Agriculture Dept. of Computer Science Kupang Indonesia Universitas Wijaya Kusuma Surabaya Fakultas Bahasa Dan Sains Surabaya Indonesia STIE AMM Mataram NTB Mataram Indonesia Dept Of. English Literature Surabaya Indonesia Surabaya Indonesia State University of Surabaya Faculty of Languages Dept Of. Japanese Language and Literature Surabaya Indonesia Indonesia Naval Academy Surabaya Indonesia Fakultas Ekonomi Dan Bisnis Universitas Narotama Dept of Management Surabaya Indonesia STKIP Bina Insan Mandiri Dept Of. English Education Surabaya Indonesia

ISBN: (数字)9781665488396

ISBN: (纸本)9781665488396

The investment industry has recently continued to provide the greatest experience and has grown the number of investors to this day. It also increases the quantity of traded investment assets because of its varied central and decentralized operating processes. Yet another aspect that can't be isolated from the investment process is price volatility and monetary policy. This means that the present price movement is influenced by every market mood. According to this study, a three-month period of tweets from Indonesian citizens was used to analyze attitude towards investment patterns in Indonesia. Because of the large number of people throughout the world who use Twitter to voice their opinions on investments, Twitter was selected as the primary source for this study. Twint, an open-source Python library, is used to retrieve tweet data. To process and analyze each tweet's data, TextBlob will be used, which values subjectivity and polarity. There were 92% favorable feelings and 42% positive sentiments on Indonesian tweets after a succession of research stages. These results were obtained by the limitation of data preprocessing and data labeling has been used. © 2022 IEEE.

关键词： Investments

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Impact of fluctuation interferences to the responders performance of secondary surveillance radar system

Impact of fluctuation interferences to the responders perfor...

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International Conference on Radio Electronics & Info Communications (UkrMiCo)

作者： I.V. Svyd A.E. Goriushkina G.E. Zavolodko O.S. Maltsev Dept. Radiotechnologies Information and Communication Systems Kharkiv National University of Radio Electronics KNURE Kharkiv Ukraine Department of Computer science and Programming National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Department of Information Systems National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine

ISBN: (数字)9781538652640

ISBN: (纸本)9781538652657

The principle of network construction and the principle of request signals service of Secondary surveillance radar systems predetermined the work of the respondents of the considered systems in conditions of intra-system and intentional correlated and uncorrelated interferences. The article estimates the impact of masking fluctuation interferences on the quality of the request signals detection. It is shown that the choice of time-interval codes as the request signals predetermined the low noise immunity of the considered systems when a channel is exposed by the fluctuation interference.

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Synthetic fibered (∞,1)-category theory

arXiv

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arXiv 2021年

作者： Buchholtz, Ulrik Weinberger, Jonathan Functional Programming Lab School of Computer Science University of Nottingham Jubilee Campus NottinghamNG7 1BB United Kingdom Dept. of Mathematics Krieger School of Arts and Sciences Johns Hopkins University 3400 N Charles St. BaltimoreMD21218 United States

We study cocartesian fibrations in the setting of the synthetic (∞,1)-category theory developed in simplicial type theory introduced by Riehl and Shulman. Our development culminates in a Yoneda Lemma for cocartesian ... 详细信息

关键词： Topology

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Using a Grid Platform for Enabling Real Time User Modeling in On-line Campus

Using a Grid Platform for Enabling Real Time User Modeling i...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Santi Caballe Fatos Xhafa Thanasis Daradoumis Joan Esteve Leonard Barolli Arjan Durresi Universitat Oberta de Catalunya Barcelona Catalunya ES Dept. of Languages and Informatics Systems Polytechnic University of Catalonia Barcelona Spain Department of Computer Science Multimedia and Telecommunication Open University of Catalonia Barcelona Spain Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) Higashi-ku Fukuoka Japan Department of Computer Science Louisiana State University Baton Rouge LA USA

User modelling in on-line distance learning is an important research field focusing on two important aspects: describing and predicting students' actions and intentions as well as adapting the learning process to students' features, habits, preferences, and so on. The aim is to greatly stimulate and improve the learning experience. Indeed, on the one hand, students' intentions may change during the realization of learning activities and thus their actions evolve accordingly as the learning process moves forward. On the other hand, adaptive systems can effectively plan and design appropriate learning tasks according to students' features, habits and interests with the aim of facilitating the achievement of the learning goal. In this context, user modelling implies a continuous processing and analysis of user interaction data during long-term learning activities, which produces large and considerably complex information. As a consequence, processing this information is costly and could require computational capacity beyond that of a single computer. In this paper, we show how a grid approach can considerably decrease the processing time of log data of on-line distance educational Web-based systems. Our prototype is based on the master-worker paradigm and is implemented using a peer-to-peer platform running on the Planetlab nodes. The results of our study show the feasibility of using grid middleware to speed and scale up the processing of log data and thus achieve an efficient and dynamic user modeling in on-line distance learning

关键词： computer aided instruction Adaptive systems computer science Predictive models Context modeling Information analysis Peer to peer computing Software systems Application software Usability

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Comparative analysis of signal processing methods secondary surveillance radar

Comparative analysis of signal processing methods secondary ...

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International Conference on Radio Electronics & Info Communications (UkrMiCo)

作者： A.E. Goriushkina I.V. Svyd G.E. Zavolodko G.V. Maistrenko Department of Computer science and Programming National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Dept. Radiotechnologies Information and Communication Systems Kharkiv National University of Radio Electronics Kharkiv Ukraine Department of Information Systems National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Department of Electronic Computers Kharkiv National University of Radio Electronics Kharkiv Ukraine

ISBN: (数字)9781538652640

ISBN: (纸本)9781538652657

In the paper, based on a comparative analysis of the methods of processing time-interval codes used as secondary surveillance radar information signals consisting of a different sequence of performing joint decoding operations, selecting signals by duration and time position, it is shown that the most effective is the signal processing method in which first the signals are decoded, then the signals are selected in accordance with the duration and in the future with the selection according to the time position, which provides the lowest probability of a false alarm of the first kind.

关键词： Radar Interference Decoding Security Radar signal processing Surveillance

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Software cost estimation using economic production models

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Journal of Management Information Systems 1998年第1期15卷 143-163页

作者： Hu, Q. Plant, R.T. Hertz, D.B. Dept. of Decis. and Info. Systems Florida Atlantic University United States University of Miami FL United States Dept. of Comp. Information Systems University of Miami Coral Gables FL United States University of Liverpool United Kingdom Programming Research Group Oxford University Wadham College Oxford United Kingdom Department of Computer Science Univ. of Wolverhampton in England Templeton College Oxford United Kingdom Dept. of Comp. Information Systems University of Miami United States Columbia University CEO Identification Technol. Intl. Inc. United States McKinsey and Co. New York City NY United States

One of the major difficulties in controlling software development project cost overruns and schedule delays has been developing practical and accurate software cost models. Software development could be modeled as an economic production process and we therefore propose a theoretical approach to software cost modeling. Specifically, we present the Minimum Software Cost Model (MSCM), derived from economic production theory and systems optimization. The MSCM model is compared with other widely used software cost models, such as COCOMO and SLIM, on the basis of goodness of fit and quality of estimation using software project data sets available in the literature. Judged by both criteria, the MSCM model is comparable to, if not better than, the SLIM, and significantly better than the rest of the models. In addition, the MSCM model provides some insights about the behavior of software development processes and environment, which could be used to formulate guidelines for better software project management polic es and practices.

关键词： Economic production theory Software cost estimation Software cost models Software production Software project management

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1992年 607 LNAI卷

作者： Kapur, Deepak Institute for Programming and Logics Dept. of Computer Science State University of New York 1400 Washington Av. AlbanyNY12222 United States

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A Proposal for the Global and Collaborative PBL Learning Environment Where All Global Members on Different Campuses Are "On the Same Page" throughout the Process of Learning in the Project

A Proposal for the Global and Collaborative PBL Learning Env...

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International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Tosh Yamamoto Anthony Liao Wen-Chi Vivian Wu Meilun Shih Ju-Ling Shih Hui-Chun Chu The Center for Teaching and Learning Kansai University Osaka Japan Dept. of M-Commerce and Multimedia Applications Asia University Taichung Taiwan Department of Foreign Languages and Literature Asia University Taichung Taiwan Center for Teaching Learning & Development National Taiwan University Taipei Taiwan Department of Digital Science and Technology National University of Tainan Tainan Taiwan Department of Computer Science and Information Management Soochow University Taipei Taiwan

This paper purports to share with the higher education community the global PBL active learning curriculum and the learning environment, which have been collaboratively developed with the universities in Taiwan and Kansai University (KU). The collaborated universities developed an optimal curriculum to enhance and nurture students' "Future Work Skills 2020" defined by the Institute for the Future, such future human skills as Sense Making, Social Intelligence, Novel & Adaptive Thinking, Cross-Cultural Competencies, Computational Thinking, New Media Literacy, Transdisciplinarity, Design Mindset, Cognitive Load Management, and Virtual Collaboration. The curriculum fully employs PBL strategies in global teams, where teams for PBL are organized with students with heterogeneous cultural backgrounds in the virtual learning environment. The basic concept of such curriculum is based on COIL (Collaborative Online International Learning), originally developed by State University of New York. COIL makes full usage of IT to generate virtual learning environment for students worldwide. In order to go beyond the COIL concept incorporating the future skills defined by IFTF, the allied universities employed PBL in global AGILE teams to deepen insights from various cultural viewpoints in terms of consensus building through team discussions. Due to the spatial and temporal differences, enrolled students conducted their team learning activities in the virtual learning environment asynchronously, making use of IT technologies and cloud services in order to be on "the same page" in the progress of the project throughout the course. Further, the assessment strategies to enhance students' efficacy is the key factor in the course, which is also discussed with examples. This paper reports the global PBL active learning curriculum and environment collaboratively developed with the universities in Taiwan and Kansai University.

关键词： Conferences Artificial intelligence Cultural differences

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