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Novelty-based incremental document clustering for on-line documents 22

Novelty-based incremental document clustering for on-line do...

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22nd International Conference on Data engineering Workshops, ICDEW 2006

作者： Khy, sophoin Ishikawa, Yoshiharu Kitagawa, Hiroyuki Master's Program in Science and Engineering Tsukuba Ibaraki Japan Graduate School of Systems and Information Engineering Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki Japan

ISBN: (纸本)0769525717

Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains more interests than old one. Traditional clustering focuses on grouping similar documents into clusters by treating each document with equal weight. We proposed a novelty-based incremental clustering method for on-line documents that has biases on recent documents. In the clustering method, the notion of 'novelty' is incorporated into a similarity function and a clustering method, a variant of the K-means method, is proposed. We examine the efficiency and behaviors of the method by experiments. © 2006 IEEE.

关键词： Cluster analysis

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High Resolution of City-Level Climate simulation by GPU with Multi-physical Phenomena 18th

High Resolution of City-Level Climate Simulation by GPU with...

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18th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2021

作者： Watanabe, Koei Kikuchi, Kohei Boku, Taisuke sato, Takuto Kusaka, Hiroyuki Master’s Program in Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukubashi Japan Center for Computational Sciences University of Tsukuba Tsukubashi Tennodi Japan

ISBN: (纸本)9783030935702

In this paper, we describe the Graphics Processing Unit (GPU) implementation of our City-LEs code on detailed large eddy simulations, including the multi-physical phenomena on fluid dynamics, heat absorption and reflection by surface and building materials, cloud effects, and even sunlight effect. Because a detailed simulation involving these phenomena is required for analyses at the street level and several meters of resolution, the computation amount is enormous, and ordinary CPU computation cannot provide sufficient performance. Therefore, we implemented the entire code on GPU clusters with large-scale computing. We applied OpenACC coding to incrementally implement relatively easy programming and eliminate data transfers between the CPU and GPU memories. Based on this research, we determined that the elimination of data transfers is effective, even in the case where a part of the code execution on the GPU is slower than the CPU, owing to the absence of spatial parallelism. The objective of this study is to perform a complete climate simulation on a few square-kilometers field around the Tokyo station, considering the finest resolution of the original highlighted area of the Marathon race in the Olympic Games Tokyo 2020. We successfully transferred the entire code to the GPU to provide approximately eight times the performance of CPU-only computation on multi-GPU per node with a large scale cluster. © 2022, IFIP International Federation for information Processing.

关键词： Graphics processing unit

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sentiment Analysis of the Indonesian Police Mobile Brigade Corps Based on Twitter Posts Using the sVM and NB Methods

Sentiment Analysis of the Indonesian Police Mobile Brigade C...

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International Conference on Electronics Representation and Algorithm 2019, ICERA 2019

作者： Pratama, Bryan saputra, Dedi Dwi Novianti, Deny Purnamasari, Endah Putri Kuntoro, Antonius Yadi Hermanto Gata, Windu Wardhani, Nia K sfenrianto, sfenrianto Budilaksono, sularso Master of Computer Science-Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia Graduate School Master's Degree Computer Science STMIK Nusa Mandiri Jakarta Indonesia Master Faculty of Computer Science-Postgraduate Program Universitas Mercubuana Jakarta Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Graduate School Master's Degree Computer Science Universitas Persada Indonesia YAI. Jakarta Indonesia

The Brimob Corps is a special police force, just like the special military detachments held by the TNI such as Paskhas and so on. At present brigade corps police national is busy being discussed in the real world and cyberspace, especially on social media twitter. Many opinions about the brigade corps police national so there are positive and negative opinions. social media twitter is now one places to spread information about brigade corps police national. This study cases uses text mining techniques with support vector machine (sVM) method which aims to classify public sentiments towards brigade corps police national on twitter. The dataset used is tweet in Indonesian with keyword "Brimob" with a total dataset of 1000 tweets. Text mining, transform, tokenize, stemming, and classification, etc. techniques are useful for building classification and analysis of sentiment. RapidMiner and Gataframework are also used to help create sentiment analysis to measure classification values. Accuracy values obtained with support vector machine (sVM) approach 86,96%, with precision values of 86,96%, and recall values of 86,96%. © Published under licence by IOP Publishing Ltd.

关键词： Law enforcement

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style Transfer of Musical Performance Expression Using Note Classification Based on the Implication-Realization Model 23

Style Transfer of Musical Performance Expression Using Note ...

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7th International Conference on Computer science and Application engineering, CsAE 2023

作者： Mizutani, Tetsuya sasaki, shigefumi Department of Information Engineering University of Tsukuba Tsukuba Japan Master's Program in Computer Science University of Tsukuba Tsukuba Japan

ISBN: (纸本)9798400700590

In recent years, the style transfer is being studied in the field of AI. It extracts a style from one data set and applies to another data set. This technique is actively studied mainly in computer vision. It is also being studied in music and speech processing with many deep learning methods. However, no research focused on changes in performance expression of music. Performance expression of music refers to the player's artistic interpretation of a piece of music, the changes in performance, and the techniques used to achieve these changes. Changes in performance are represented by slow and fast beats, changes in strength and weakness. In this study, as a part of the study of analysis and creation of performance expression models of music, the image style transfer method is applied to musical expression. In addition, in order to analyze the relationship between musical structure and musical expression, the implication-realization model of music theory is used to extract the structure of music to improve the performance of style transfer. The analysis result shows that the I-R model captures the feature of musical expression well, and moreover, the style transfer method is shown to be useful for analyzing performance expression of music. It will lead to the study of music performance expression style extraction and will contribute to the analysis and creation of performance expression models of music. © 2023 ACM.

关键词： Music

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NOVEL RAILWAY OPERATION sCHEME OF PROVIDING EXPREss/LOCAL sERVICE VIA sINGLE TRAIN 26

NOVEL RAILWAY OPERATION SCHEME OF PROVIDING EXPRESS/LOCAL SE...

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26th International Conference of Hong Kong society for Transportation studies, HKsTs 2022

作者： Kishikawa, T. Wada, K. Master's Programs in Policy and Planning Sciences University of Tsukuba Japan Faculty of Engineering Information and Systems University of Tsukuba Japan

ISBN: (纸本)9789881581402

A novel train operation scheme that includes express/local services in a single train using fast coupling technology is proposed herein. specifically, as a typical train operation based on the aforementioned concept, we propose a scheme that generates a new local train from an express train at every express station in the outbound direction and, conversely, couples these local trains with an express train at those stations in the inbound direction. First, we construct a continuous approximation model to determine the optimal operation pattern. subsequently, we examine the characteristics of the proposed scheme by solving the model analytically. Finally, we compare the proposed scheme with a conventional express/local operation and demonstrate that the proposed scheme has superiority from both the perspectives of agencies and passengers. © 2022 Proceedings of the 26th International Conference of Hong Kong society for Transportation studies, HKsTs 2022. All Rights reserved.

关键词： Railroads

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A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video 12

A Player Position Tracking Method Based on a Wide-Area Pan-T...

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Proceedings of the 12th International Conference on sport sciences Research and Technology support, icsPORTs 2024

作者： Yamagishi, shunzo Xie, Chun shishido, Hidehiko Kitahara, Itaru Master's and Doctoral Program in Intelligent Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Ibaraki Japan Faculty of Science and Engineering Department of Information Systems Engineering Soka University Tokyo Japan

ISBN: (纸本)9789897587191

This paper proposes a method to estimate the posture of an athlete moving on a vast field in a sporting event using a pan-tilt-zoom camera. In order to estimate the posture of an athlete on a sports field from a dynamic video sequence, our method extracts image features to search correspondence points among successive frames and computes the homography transformation matrix that compensates for changes the camera parameters (e.g., angle of view and posture). The effectiveness of this method is qualitatively verified using MLB TV broadcast video. The accuracy and error factors are also quantitatively verified by CG simulation. Copyright © 2024 by sCITEPREss - science and Technology Publications, Lda.

关键词： Pan-Tilt-Zoom Camera Player Tracking sports Analytics Video Processing Wide-Area

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Regularized rough c-means and applications to risk analysis 5

Regularized rough c-means and applications to risk analysis

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5th International symposium on Computational Intelligence and Industrial Applications, IsCIIA 2012

作者： Kinoshita, Naohiko Endo, Yasunori Miyamoto, sadaaki Master's Program in Risk Engineering University of Tsukuba Ibaraki305-8573 Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki305-8573 Japan International Institute for Applied Systems Analysis Schlossplatz 1 LaxenburgA-2361 Austria

Clustering is one of the method of data analysis. Rough clustering based on rough set representation is focused because of the effectiveness. Rough c-means (RCM) by Lingras et al. [1, 2] is one of rough clustering algorithms. The assumptions and the way to calculate cluster centers are useful. Moreover objective-based clustering algorithms based on RCM are discussed (e.g., Ref.[3]). However, all RCM and its variations have a parameter "threshold" to determine degree of belongingness of objects to lower and upper approximations of each cluster, and the existence of the parameter prevents from deriving the degree of belongingness on the way of optimization. This paper shows a new rough clustering algorithm without the parameter "threshold". The both of cluster centers and the degrees of belongingness are derived as solutions of an optimization problem. Moreover, the paper verifies effectiveness of the proposed algorithm for risk analysis with comparison to other algorithms through datasets of UCI Repository.

关键词： Clustering algorithms

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Implementation and Performance Evaluation of Collective Communications Using CIRCUs on Multiple FPGAs

Implementation and Performance Evaluation of Collective Comm...

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2023 International Conference on High Performance Computing in Asia-Pacific Region Workshops, HPC Asia 2023

作者： Kikuchi, Kohei Fujita, Norihisa Kobayashi, Ryohei Boku, Taisuke Master's Program in Computer Science Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Japan Center for Computational Sciences University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781450399890

In the high-performance computing domain, Field programmable Gate Array (FPGA) is a novel accelerator that exhibits high flexibility and performance characteristics distinct from other accelerators such as the Graphics Processing Unit (GPU). Recent advanced high-end FPGA is equipped with multiple channels of high speed optical link up to 100Gbps performance for each. This is a crucial feature when we construct PC clusters with FPGAs as accelerators, however it is not easy to utilize from user kernels because this feature is implemented in low level and simple direct communication between neighboring FPGAs. In order to provide the communication feature between FPGAs for accelerated PC clusters, we developed a communication system named CIRCUs which implies a user-friendly API from OpenCL and is equipped with routing function over multi-hop communication on multi-dimensional torus network of FPGAs. However, current CIRCUs only provides a point-to-point communication between source and destination FPGAs. In ordinary parallel processing environment such as MPI, the user program the message passing with various collective communication functions for parallel algorithm, for instance Allreduce, Allgather, etc. In this paper, we implement the collective communication function over CIRCUs for user-friendly programming of ordinary parallel algorithms on FPGAs. As the first target, we implement Allreduce function which is the most essential and important function. The paper describes the CIRCUs system briefly followed by the design, implementation and preliminary performance evaluation on Intel stratix10 FPGAs. © 2023 ACM.

关键词： Field programmable gate arrays (FPGA)

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Finding the Important Elements Linked to Integration Problems in the Use of Enterprise Resource Planning systems 9

Finding the Important Elements Linked to Integration Problem...

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9th International Conference on information Management and Technology, ICIMTech 2024

作者： sardjono, Wahyu Kristin, Desi Maya Pranata, Dewi sagita Bina Nusantara University BINUS Graduate Program Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics WC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

Organizations face an urgent need to become faster, more efficient, and more successful in their commercial operations, given the current state of technological evolution and the arrival of Industry 4.0. Many businesses have adopted the idea of enterprise resource planning (ERP) systems to achieve this goal. The ERP system is expected to increase worker productivity, improve business performance to maximize profitability and profits, and provide accurate and up-to-date data and information to management and stakeholders. This research aims to find new variables related to integration problems in the use of ERP systems. Using the sPss statistical program, the data collected will be examined using quantitative exploratory factor analysis (EFA). Data processing then includes collecting demographic information from respondents, reliability testing, conducting the Kaiser-Meyer-Olkin (KMO) test, testing using an anti-image matrix, and deriving new factors using a rotation component matrix. This research seeks to identify new elements underlying ongoing integration problems in ERP system implementation. The research results show several reasons for underlying integration problems and offer in-depth information to management that can be used to analyze and evaluate the ERP system in their company appropriately in the future so that the company's performance becomes superior to the competition. © 2024 IEEE.

关键词： Profitability

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Comparing Classification Algorithms to Analyze Twitter sentiment on Public Opinion on Fuel Oil 24

Comparing Classification Algorithms to Analyze Twitter Senti...

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24th International seminar on Intelligent Technology and Its Applications, IsITIA 2023

作者： Widarma, Gita Novita, Rice Mustakim Rozanda, Nesdi Evrilyan Universitas Islam Negeri Sultan Syarif Kasim Riau Graduate Program Information Systems Department Pekanbaru Indonesia Postgraduate Programs Universitas Negeri Padang Information Systems Pekanbaru Indonesia Postgraduate Programs Institut Pertanian Bogor Master of Informatics Engineering Pekanbaru Indonesia Postgraduate Programs Universiti Teknologi Malaysia Master of Information Systems Management Pekanbaru Indonesia

ISBN: (纸本)9798350313956

Twitter is currently used as one of the applications that is often used to convey opinions or unrest by the public such as the current issue that is currently rife, namely regarding the increase in fuel oil prices (BBM) in Indonesia. With so much data scattered in a tweet that only consists of a few fragments of words, there must be valuable information or meaning that Twitter users want to convey. Text mining is a very appropriate method to do the analysis because in text mining there is a method that focuses on an opinion which will be concluded into positive and negative opinions. There are several algorithms that are most often used in data mining, namely K-Nearest Neighbor, Decision Tree, and Naive Bayes. The three algorithms used in this study were also compared with the use of feature selection Particle swarm Optimization (PsO) which is well known for improving the performance of algorithms. There are 2165 negative opinion data and 2835 positive sentiment data. The data will be tried based on distinctive sums of data namely 1000 data, 3000 data, and 5000 data. The classic K-Nearest Neighbor algorithm obtained an accuracy result of 75.60% and made it the best when tested with 1000 data. The use of Particle swarm Optimization (PsO) is proven to improve accuracy as when tested using 3000 data with an accuracy value of 78.21% on the K-Nearest Neighbor algorithm. In the mean time, in testing 5000 Data, the classic K-Nearest Neighbor once more gotten the most elevated exactness with a esteem of 74.02%. © 2023 IEEE.

关键词： Decision trees

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