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Expressive secondo performances of a realtime person-computer ensemble system

Expressive secondo performances of a realtime person-compute...

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4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012

作者： Mizutani, Tetsuya Shinagawa, Yuki Murakami, Naoki Igarashi, Shigeru Faculty of Engineering Information and Systems University of Tsukuba Japan Master's Program in Computer Science University of Tsukuba Japan University of Tsukuba Japan

ISBN: (纸本)9783642334771

A person-computer ensemble system is one of time concerned cooperative systems, which performs the secondo in an ensemble played by a computer-controlled piano cooperating with the primo played by a person musician. For expressive performances, it is necessary to prepare very expressive secondo data before the actual cooperative performance, since the system is modified its expression in realtime using the agogic information calculated from the input stream of the primo. In this paper, a generating method of more expressive performance of the secondo, using the notions musical structures and structural functions, are introduced. © 2012 Springer-Verlag.

关键词： computers

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Unbalanced Data Clustering with K-Means and Euclidean Distance Algorithm Approach Case Study Population and Refugee Data 2

Unbalanced Data Clustering with K-Means and Euclidean Distan...

引用

2nd International Conference on computer, Science, Engineering, and Technology, ICComSET 2019

作者： Faizah, N.M. Surohman Fabrianto, L. Hendra Prasetyo, R. Information Systems Department Tama Jagakarsa University Jakarta Indonesia Master of Computer Science-Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia

There is a lot of data that does not have a pattern and unbalanced that is difficult to classify, such as the total population of each country in the world is very varied especially when compared with the number of refugees from each of these countries, China and India numbered more than 2 billion people but the number of refugees is only 0, 01%, while Syria around 70% of the 18 million more residents are refugees. By using the K-Means algorithm, we can group countries that have similar characteristics of population and number of refugees, the average percentage of refugees to the population in each cluster is the character of the cluster. The methodology used in this study are: measures the distance of the data using the Euclidean distance formula, runs the K-Means algorithm, calculate the percentage value of each cluster and find conclusions from the characteristics of the clusters formed. We found how machine learning made a pattern of data without political and social issues, the result is K-Means describing machine learning can grouped every country in cluster that make sense. © Published under licence by IOP Publishing Ltd.

关键词： K-means clustering

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Monitoring Applications for Vehicle based on Internet of Things (IoT) using the MQTT Protocol 8

Monitoring Applications for Vehicle based on Internet of Thi...

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8th International Conference on computer Science and Computational Intelligence, ICCSCI 2023

作者： Nurudin Sukmandhani, Arief Agus Zarlis, Muhammad Computer Science Department BinusOnline Learning Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

Monitoring of vehicle conditions is needed as one of the securities in driving because one of the accident rates is negligence in checking the condition of the vehicle. This study aims to help reduce the level of accidents and increase human awareness for vehicle conditions, especially minibus type vehicles. The system works to provide information on the condition of vehicles sourced from the Engine Control Unit (ECU). ECU data cars are obtained by SNIP traffic broadcast message and ask for data directly at the ECU. The car can provide vehicle information using a Canbus communication protocol through the OBD-II socket. Vehicle information can be seen by users through the website in real time. Based on the evaluation from the user side, this system provides ease of monitoring vehicle conditions because it can be accessed via the internet using various kinds of devices. © 2023 The Authors. Published by Elsevier B.V.

关键词： Blackbox ECU OBD-II Sstem Logging

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Using Synthetic Data to Reduce Model Convergence Time in Federated Learning 14

Using Synthetic Data to Reduce Model Convergence Time in Fed...

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14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022

作者： Dankar, Fida K. Madathil, Nisha Nyuad Computer Science Program Abu Dhabi United Arab Emirates Uaeu Information Systems and Security Al Ain United Arab Emirates

ISBN: (纸本)9781665456616

Federated Learning (FL) is a hot new topic in collaborative training of machine learning problems. It is a privacy-preserving distributed machine learning approach, allowing multiple clients to jointly train a global model under the coordination of a central server, while keeping their sensitive data private. The problem with FL systems is that they require intense communication between the server and clients to achieve the final machine learning model. Such complexity increases with the number of clients participating and the complexity of the model sought. In this paper, we introduce synthetic data generation into FL systems with the intention of reducing the number of iterations required for model convergence. In this novel method, clients generate synthetic datasets modeling their private data. The synthetic datasets are then sent to the central server and are used to generate a cognizant initial model. Our experiments show that such conscious method for generating the initial model lowers the number of iterations by a factor of more than 4 without affecting the model accuracy. As such it enhances the overall efficiency of FL systems. © 2022 IEEE.

关键词： Sensitive data

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Software requirements selection and prioritization using SBSE approaches: A systematic review and mapping of the literature

Software requirements selection and prioritization using SBS...

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作者： Pitangueira, Antônio Mauricio Maciel, Rita Suzana P. Barros, Márcio Federal University of Bahia Computer Science Department Brazil Post-graduate Information Systems Program Unirio Brazil Federal Institute of Bahia Brazil

The selection and prioritization of software requirements represents an area of interest in Search-Based Software Engineering (SBSE) and its main focus is finding and selecting a set of requirements that may be part of a software release. This paper presents a systematic review and mapping that investigated, analyzed, categorized and classified the SBSE approaches that have been proposed to address software requirement selection and prioritization problems, reporting quantitative and qualitative assessment. Initially 39 papers returned from our search strategy in this area and they were analyzed by 18 previously established quality criteria. The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, which approaches and search techniques are currently adopted to address these problems, as well as the strengths and weaknesses in this research area highlighted from the quality criteria. © 2014 Elsevier Inc. All rights reserved.

关键词： Requirements engineering

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Framework Design of information Retrieval System for Official Letter Using Extraction of Geometry Feature Method 2

Framework Design of Information Retrieval System for Officia...

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2nd International Conference on computer, Science, Engineering, and Technology, ICComSET 2019

作者： Fabrianto, L. Hendra Surohman Sfenrianto Faizah, N.M. Master of Computer Science-Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Information Systems Department Universitas Tama Jagakarsa Jakarta Indonesia

In a government institution many official letters are made daily, the letters have an official format in the Tanggal, No. Surat, Lampiran dan Hal. area, with an OCR (Optical Character Recognition) scanner an official letter can be digitized and processed to obtain characters that will be used as searches, but in fact in certain desired parts there are often handwriting, a method of pattern recognition is needed to recognize the handwriting. The process in this study including of normalization, segmentation and pattern recognition from labels in the Tanggal, No. Surat, Lampiran dan Hal. area,this system will generate output in text form, the output text is result that will use as a term in the process of the information Retrieval System, so the search for an official letter will be easy to do. This study is only makes the framework design for the next research authors will explain the detail of process and results obtained. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Optical character recognition

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Analysing the trends of cyber attacks: Case study in Indonesia during period 2013-Early 2017

Analysing the trends of cyber attacks: Case study in Indones...

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2017 International Conference on Innovative and Creative information Technology: Computational Intelligence and IoT, ICITech 2017

作者： Edy, Setyawan Gunawan, Wang Wijanarko, Bambang Dwi Information Systems Management BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11530 Indonesia Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538640456

The latest development of internet technologies and globalization have increased the risks of running business in Indonesia. With hundred million of Indonesian users exposed to the internet and increasing reliance of corporations with internet technologies have made Indonesian corporations fragile to information theft issues. Nowadays, information theft has become global issues where all corporations and governments around the world have taken necessary measures to secure their essential assets. Along with the government plan to establish internet watchdog body in 2017, the article took the case of cyber-attacks that occurred within period of 2013-early 2017, with the objective to analyze the trends of cyber-attacks in Indonesian corporations. The article is carried out with the consideration that although the internet security issues are important, however, there is still very few articles can be found to illustrate the trend of cyber-attacks in Indonesian corporations, and almost all cases tend to be closed from public exposure. © 2017 IEEE.

关键词： Crime

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Defying the certification diploma forgery with blockchain platform: A proposed model 12

Defying the certification diploma forgery with blockchain pl...

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12th International Conference on ICT, Society and Human Beings, ICT 2019, 5th International Conference on Connected Smart Cities, CSC 2019 and the 16th International Conference on Web Based Communities and Social Media, WBC 2019

作者： Meyliana Chandra, Yakob Utama Cassandra, Cadelina Surjandy Eka Widjaja, Henry Antonius Fernando, Erick Prabowo, Harjanto Joseph, Charles Information Systems Department School of Information Systems Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Bloocys Foundation Pte. Ltd 079903 Singapore

ISBN: (纸本)9789898533906

In the University setting, part of management recorded all education transaction since the students register until they graduate. In this point, the transaction raises several new and crucial challenges. At a closer look, the concerns appeared due to no data integration, verification, and validation from parties both inside or outside of the university. In this respect, the data is not centralized or integrated. As this backdrop, this causes repeated data confirmation, and no one can authenticate the data validity when distributed to other parties. In this point of entry, the diploma certification forgery has become one of the significant issues in education in Indonesia. As a framework that enables the data integration, Blockchain contains verified data on every single of a transaction, so the data is trustworthy. With this in mind, this paper aims to discuss the best blockchain model for the university level. This study is qualitative-based research. As a result, McRhys model is introduced as a potential and implementable blockchain model in university in Indonesia. © 2019 IADIS Press. All rights reserved.

关键词： Blockchain

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Vibration-based classification of road damages: Gyroscope data and a simple neural network model 2

Vibration-based classification of road damages: Gyroscope da...

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Gunawan, Fergyanto E. Herriyandi Soewito, Benfano Mauritsius, Tuga Surantha, Nico Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Neural network models

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Application of factor analysis method to support the users acceptance model of ERP systems implementation 4

Application of factor analysis method to support the users a...

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4th International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2020

作者： Sardjono, W. Sudirwan, J. Priatna, W. Putra, G.R. Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics and Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Factor analysis

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