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Community-centric Systems (CcS), 2020 International Symposium on

作者： Yuna Yamada Naoki Masuyama Narito Amako Yusuke Nojima Chu Kiong Loo Hisao Ishibuchi Graduate School of Engineering Osaka Prefecture University Osaka Japan Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Southern University of Science and Technology Shenzhen China

ISBN: (数字)9781728187419

ISBN: (纸本)9781728187426

Divisive hierarchical clustering is a powerful tool for extracting knowledge from data with a pluralistic and appropriate information granularity. Recent developments of hierarchical clustering algorithms apply Growing Neural Gas (GNG) to data divisive mechanisms. However, GNG-based algorithms tend to generate nodes excessively and sensitive to the input order of data points. Furthermore, the plasticity-stability dilemma is another unavoidable problem. In this paper, we propose a divisive hierarchical clustering algorithm based on Adaptive Resonance Theory-based clustering. Simulation experiments show that the proposed algorithm can generate an appropriate tree structure depending on data while improving the performance of hierarchical clustering.

关键词： Clustering algorithms Kernel Partitioning algorithms Bandwidth Topology Subspace constraints Image color analysis

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MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs

A I I E Transactions

引用

A I I E Transactions 2024年第10期56卷

作者： Hojin Cho Kyeongbin Kim Kihyuk Yoon Jaewook Chun Jaeyong Kim Kyeongmin Lee Junghye Lee Chiehyeon Lim a Department of Industrial Engineering Ulsan National Institute of Science and Technology Ulsan Republic of Korea b LG Electronics Seoul Republic of Korea c SK Enmove Ulsan Republic of Korea d Technology Management Economics and Policy Program Seoul National University Seoul Republic of Korea a Department of Industrial Engineering Ulsan National Institute of Science and Technology Ulsan Republic of Koreae Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology Ulsan Republic of Korea

Machine learning models that are used for the prediction and control of production can improve quality and yield. However, developing models that are highly accurate and reflective of real-world processes is challenging. We propose a feedforward neural network model specifically designed for continuous Multistage Manufacturing Processes (MMPs) without intermediate outputs. This model, which is termed “MMP Net,” can accurately represent the control mechanism of continuous MMPs. Whereas existing studies on learning MMPs assume an intermediate output data, the MMP Net does not require such an unrealistic assumption. We use the MMP Net to develop prediction models for the lubricant base oil production process of a world-leading lubricant manufacturer. Evaluation results show that the MMP Net is superior to other deep neural network and machine learning models. Consequently, the MMP Net was actually implemented in a real factory in 2022 and is expected to save 900,000 dollars per year for each production line. We believe that our work can serve as a basis to develop customized machine learning solutions for improving continuous MMPs.

关键词： Multistage manufacturing process neural network petrochemical manufacturing system quality prediction real-world application

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Evaluation of Color Vision Compensation Algorithms for People with Varying Degrees of Color Vision Deficiency

Evaluation of Color Vision Compensation Algorithms for Peopl...

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International Conference on Cyberworlds

作者： Xinyi Wang Zhenyang Zhu Xiaodiao Chen Masahiro Toyoura Xiaoyang Mao School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Graduate School of Engineering University of Yamanashi Kofu Japan School of Computer Hangzhou Dianzi University Hangzhou China University of Yamanashi Kofu Japan

ISBN: (数字)9781728164977

ISBN: (纸本)9781728164984

People with color vision deficiency (CVD) may have difficulty in discriminating colors. To improve their color perception, several compensation methods have been proposed which considered naturalness maintenance and contrast emphasis. All these methods are based on the simulation model of severe CVD and hence it is not clear whether are also effective for people with light CVD. In this paper, we conduct subjective study to evaluate the effectiveness of these methods for people with varying degrees of CVD.

关键词： Color Maintenance engineering

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A-STEP: The AstroPix Sounding Rocket technology Demonstration Payload

arXiv

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arXiv 2024年

作者： Violette, Daniel P. Steinhebel, Amanda Roy, Abhradeep Boggs, Ryan Caputo, Regina Durachka, David Fukazawa, Yasushi Hashizume, Masaki Hesh, Scott Jadhav, Manoj Kierans, Carolyn Kumar, Kavic Kushima, Shin Leys, Richard Metcalfe, Jessica Metzler, Zachary Nakano, Norito Peric, Ivan Perkins, Jeremy Seo, Lindsey Taylor Shin, K.-W. Striebig, Nicolas Suda, Yusuke Tajima, Hiroyasu NASA Goddard Space Flight Center GreenbeltMD United States United States Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan NASA Wallops Flight Facility Wallops IslandVA United States Argonne National Laboratory LemontIL United States Department of Physics University of Maryland College ParkMD United States Institute for Space–Earth Environmental Research Nagoya University Aichi Japan ASIC and Detector Laboratory Karlsruhe Institute of Technology Karlsruhe Germany Institute for Particle Physics University of California Santa CruzCA United States

A next-generation medium-energy (100 keV to 100 MeV) gamma-ray observatory will greatly enhance the identification and characterization of multimessenger sources in the coming decade. Coupling gamma-ray spectroscopy, imaging, and polarization to neutrino and gravitational wave detections will develop our understanding of various astrophysical phenomena including compact object mergers, supernovae remnants, active galactic nuclei and gamma-ray bursts. An observatory operating in the MeV energy regime requires technologies that are capable of measuring Compton scattered photons and photons interacting via pair production. AstroPix is a monolithic high voltage CMOS active pixel sensor which enables future gamma-ray telescopes in this energy range. AstroPix’s design is iterating towards low-power (∼1.5 mW/cm2), high spatial (500 µm pixel pitch) and spectral (2 building block of future large area AstroPix instruments, such as ComPair-2 and AMEGO-X. This payload will be the first demonstration of AstroPix detectors operated in a space environment and will demonstrate the technology’s readiness for future astrophysical and nuclear physics applications. In this work, we overview the design and state of development of the A-STEP payload. Copyright © 2024, The Authors. All rights reserved.

关键词： Photons

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Investigating Sub-Daily Responses of Sap Flow to Vapor Pressure Deficit in Tropical Successional Forests in Thailand

SSRN

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SSRN 2025年

作者： Ampornpitak, Ratchanon Unawong, Weerapong Tor-Ngern, Pantana International Program in Hazardous Substance and Environmental Management Graduate School Chulalongkorn University Bangkok10330 Thailand Center of Excellence on Hazardous Substance Management Chulalongkorn University Bangkok10330 Thailand Department of Environmental Science Faculty of Science Chulalongkorn University Bangkok10330 Thailand Water Science and Technology for Sustainable Environment Research Unit Chulalongkorn University Bangkok10330 Thailand

Sap flux density (SF), used to estimate tree water use, may be influenced by atmospheric humidity, sunlight, and soil moisture, tree species and geographical locations. Southeast Asian forests have experienced land-use alteration from abandoned agricultural practices, leaving behind areas of old-growth and secondary forests among other forest types. Thus, SF and its responses to changing environments may differ in successional forests due to their different canopy structure which can modify the local microclimate. Additionally, it can be difficult to extrapolate sub-daily SF data to longer seasons or years because of the significant variations during the day. Therefore, we attempted to examine diurnal variations of SF with vapor pressure deficit (VPD) in eight evergreen tree species in an old-growth forest (OF;>200 years old) and a young forest (YF, © 2025, The Authors. All rights reserved.

关键词： Soil moisture

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Text Detection on Roughly Placed Books by Leveraging a Learning-based Model Trained with Another Domain Data

arXiv

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arXiv 2020年

作者： Anegawa, Riku Aritsugi, Masayoshi Computer Science and Electrical Engineering Graduate School of Science and Technology Kumamoto University Japan Big Data Science and Technology Faculty of Advanced Science and Technology Kumamoto University 2-39-1 Kurokami Chuo-ku Kumamoto860-8555 Japan

Text detection enables us to extract rich information from images. In this paper, we focus on how to generate bounding boxes that are appropriate to grasp text areas on books to help implement automatic text detection. We attempt not to improve a learning-based model by training it with an enough amount of data in the target domain but to leverage it, which has been already trained with another domain data. We develop algorithms that construct the bounding boxes by improving and leveraging the results of a learning-based method. Our algorithms can utilize different learning-based approaches to detect scene texts. Experimental evaluations demonstrate that our algorithms work well in various situations where books are roughly placed. Copyright © 2020, The Authors. All rights reserved.

关键词： Learning algorithms

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Long-Term Care Risk Prediction by Claims Data Analysis

Long-Term Care Risk Prediction by Claims Data Analysis

引用

IEEE International Conference on Healthcare Informatics (ICHI)

作者： Yuan Luo Masahiro Kubo Yasuki Kobayashi Hiroaki Fukunishi Data Science Research Labs. NEC Corporation Kawasaki Japan Graduate School of Medicine The University of Tokyo Tokyo Japan School of Computer Science Tokyo University of Technology Tokyo Japan

ISBN: (数字)9781728153827

ISBN: (纸本)9781728153834

In an aging society such as Japan and other OECD countries, the medical and non-medical costs of long-term care are increasing every year, and it is becoming more difficult for local governments to bear the costs. It is necessary to identify high-risk persons before they need long-term care. We built a prediction model for seven scenarios regarding the need for long-term care using medical claims, pharmacy claims, diagnosis procedure combination (DPC) payment system data, health examination results, and long-term care claims from a local government database. Based on the number of actual data, our proposed long-term care risk prediction is targeted at the elderly over 75 years old. Because there are many variables in the data, especially in medical claims, we used the heterogeneous mixture learning (HML) model because it can automatically optimize all combinations of explanatory variables. The explanatory variables we used are age, sex, 533 diagnosis codes as listed in ICD-10, 108 prescription drug groups under the therapeutic category of drugs in Japan, and 28 special health examination items. The results showed that the area under the curves (AUCs) for all scenarios was above 0.7. Since the recalls of HML were larger than that of other machine learning models, more high-risk persons can be identified by our model.

关键词： Drugs Local government Senior citizens Medical services Predictive models Data models Medical diagnostic imaging

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And: Self-stabilizing LCM Schedulers for Autonomous Mobile Robots Using Neighborhood Mutual Remainder 21st

And: Self-stabilizing LCM Schedulers for Autonomous Mobile R...

引用

21st International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2019

作者： Dolev, Shlomi Kamei, Sayaka Katayama, Yoshiaki Ooshita, Fukuhito Wada, Koichi Department of Computer Science Ben-Gurion University of the Negev Beersheba Israel Graduate School of Engineering Hiroshima University Higashihiroshima Japan Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan Nara Institute of Science and Technology Ikoma Japan Faculty of Science and Engineering Hosei University Tokyo Japan

ISBN: (纸本)9783030349912

A vast number of algorithms for robots assume a given schedule that ensures the simultaneous LOOK (observing the location of all other non-moving robots), only then simultaneous COMPUTE (computing the target for moving) and only then simultaneous MOVE (LCM). The assumption on the existence of synchronization signal for movements, when other robots do not LOOK is questionable. We present several self-stabilizing techniques to implement such a scheduler using global/local clock pulses and thus converting the vast numbers of robot algorithms that assume the LCM schedule, to eliminate this assumption at once. Namely, we present implementation of a move-atomic property scheduler, where robots possess an independent clock that is advanced at the same *** realize it by applying the neighborhood mutual remainder. This research presents the first self-stabilizing implementations of the LCM synchronization. © Springer Nature Switzerland AG 2019.

关键词： Robots

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Noise propagation in hybrid tensor networks

arXiv

引用

arXiv 2023年

作者： Harada, Hiroyuki Suzuki, Yasunari Yang, Bo Tokunaga, Yuuki Endo, Suguru Department of Applied Physics and Physico-Informatics Keio University Hiyoshi 3-14-1 Kohoku Yokohama223-8522 Japan NTT Computer and Data Science Laboratories NTT Corporation 3-9-11 Midori-cho Musashino-shi Tokyo180-8585 Japan LIP6 Sorbonne Université 4 Place Jussieu Paris75005 France Graduate School of Information Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan JST PRESTO 4-1-8 Honcho Kawaguchi Saitama332-0012 Japan

The hybrid tensor network (HTN) method is a general framework allowing for the construction of an effective wavefunction with the combination of classical tensors and quantum tensors, i.e., amplitudes of quantum states. In particular, hybrid tree tensor networks (HTTNs) are very useful for simulating larger systems beyond the available size of the quantum hardware. However, while the realistic quantum states in NISQ hardware are highly likely to be noisy, this framework is formulated for pure states. In this work, as well as discussing the relevant methods, i.e., Deep VQE and entanglement forging under the framework of HTTNs, we investigate the noisy HTN states by introducing the expansion operator for providing the description of the expansion of the size of simulated quantum systems and the noise propagation. This framework enables the general tree HTN states to be explicitly represented and their physicality to be discussed. We also show that the expectation value of a measured observable exponentially vanishes with the number of contracted quantum tensors. Our work will lead to providing the noise-resilient construction of HTN states. Copyright © 2023, The Authors. All rights reserved.

关键词： Tensors

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Verification of performance of Multi-Parental Real-Valued Crossover in Interactive Genetic Algorithm

Verification of performance of Multi-Parental Real-Valued Cr...

引用

International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Yusuke Yabuzaki Yoshiko Hanada Makoto Fukumoto Graduate School of Science and Engineering Kansai University Osaka Japan Faculty of Engineering Science Kansai University Osaka Japan Computer Science and Engineering Fukuoka Institute of Technology Fukuoka Japan

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

In interactive evolutionary computation, it is important to reduce user fatigue and to enhance the search performance in a few generations, since fatigue has an impact on users' evaluation process. These issues also have been found in in interactive genetic algorithm (IGA). In this study, we adopt multi-parental unimodal normal distribution crossover (UNDX- m) to solve these problems in IGA. UNDX- m generates many offspring with considering the distribution of selected parents. The next population can be generated by applying UNDX- m once with more than two parent solutions. Through this mechanism, the evaluation process becomes simple manner where users only select their preferable solutions. In addition, UNDX- m can generate offspring that inherit their parents' traits, which enhance the search quality. In this paper, we evaluate the effectiveness of UNDX- m through the numerical experiment, by using a color combination problem in Web design.

关键词： Color Fatigue Gaussian distribution Statistics Standards Sociology Genetic algorithms

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