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检索条件"任意字段=3rd International Conference on Computing and Applied Informatics 2018, ICCAI 2018"

共 372 条记录，以下是41-50 订阅

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Development of banten E-heritage using virtual reality technology on mobile device 3

Development of banten E-heritage using virtual reality techn...

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3rd international conference on informatics and computing, ICIC 2018

作者： Subali, Muhammad Andriansyah, Miftah Saptono, Debyo Purwanto, Imam Antonius, Irianto S. Rahmadi, Hadi Sudjono, Linda Asri L. Informatics Engineering Sekolah Tinggi Teknik Multimedia Cendikia Abditama Tangerang Indonesia Informatics Engineering Dept. Sekolah Tinggi Teknik Multimedia Cendikia Abditama Tangerang Indonesia Electrical Engineering Dept. Sekolah Tinggi Teknik Multimedia Cendikia Abditama Tangerang Indonesia Informatics Engineering Dept. Universitas Gunadarma Jakarta Indonesia

ISBN: (纸本)9781538669204

Indonesia is a country that is rich in cultural heritage, both tangible and intangible objects. Among the valuable legacies are the Banten Grand Mosque and the Baduy tribal house located in Banten Province. As part of Banten e-heritage work, we develop mobile device-based virtual reality applications. The application is developed with the Waterfall method on an open platform including SketchUp, MakeHuman, Blender for the design stages and Unity for the implementation stages. Test results for the application developed on Android 6.01 (marshmallow), 2GB RAM, shows that 90% run well and have benefits as a medium for learning, preserving cultural heritage and promoting for interactive digital tourism. © 2018 IEEE.

关键词： Virtual reality

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Recent Trends in Data Science and Soft computing: Proceedings of the 3rd international conference of Reliable Information and Communication Technology

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2018年

作者： Faisal Saeed Nadhmi Gazem Fathey Mohammed Abdelsalam H Busalim

ISBN: (纸本)9783319990064

This book presents the proceedings of the 3rd international conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 2324, 2018. The main theme of the conference was Data Science, AI and IoT Trends for the Fourth Industrial Revolution. A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health informatics, Reliable Cloud computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.

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Research on Access Control Strategies for Medical Data Interaction Platform Based on Cloud Services 3

Research on Access Control Strategies for Medical Data Inter...

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3rd Annual international conference on Information System and Artificial Intelligence (ISAI)

作者： Xu, Bing Chen, Xingyuan Ding, Jian KunMing Univ Informat Technol Acad Yangpu Rd 2nd Kunming Yunnan Peoples R China Childrens Hosp KunMing QianXing Rd Kunming Yunnan Peoples R China

Cloud computing technology is widely used in the field of medical information, providing strong technical support for the information construction of medical and health institutions, but at the same time it also brings privacy disclosure of medical data and hidden dangers of medical information insecurity. Control is one of the key technologies in the privacy and security protection of medical data in cloud services. This paper aims at the limitations of the RBAC model applied to the SaaS model, improves it, and proposes a Service-Oriented Multi-tenant Access Control (SMTAC) strategy to meet the needs of the software rental service to provide security for multiple healthcare organizations in the region at the SaaS model.

关键词： Web services

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Augmented Reality for Presenting Local Wisdom: Sumatera Utara Traditional House 3

Augmented Reality for Presenting Local Wisdom: Sumatera Utar...

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3rd international conference on computing and applied informatics 2018, iccai 2018

作者： Syahputra, M.F. Aulia, R. Sitompul, O.S. Andayani, U. Abdullah, D. Sriadhi, S. Nanuru, R.F. Utama, M.D. Manurung, R.T. Djanggih, H. Mouw, E. Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Faculty of Law Universitas Tompotika Luwuk Banggai Indonesia Faculty of Social and Human Sciences Universitas Halmahera Indonesia

Augmented Reality is a technology that allows users to see the real world, with virtual objects placed on it or combined with the real world. Augmented Reality itself can be applied to various things, including as an educational media. In the field of education, technology can be used a culture introduction to society. One part of Indonesian culture is traditional houses. Traditional house is a building that symbolizes the culture of the local community. In North Sumatra itself, there are several traditional houses that have different forms. The use of Vuforia SDK in the construction of this application can display augmented objects in the form of 3-dimentional objects and also provide information on the house. This application will run on the Android mobile platform to make it easier for users to access it. In addition, users can choose their own objects to be used as markers to make the application use much easier. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Digital image analysis of beef color using euclidean distance method 3

Digital image analysis of beef color using euclidean distanc...

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3rd international conference on informatics and computing, ICIC 2018

作者： Handayani, Hanny Hikmayanti Wahiddin, Deden Informatics Engineering Program Buana Perjuangan Karawang University Karawang Indonesia

ISBN: (纸本)9781538669204

Beef color is an important indicator in determining the quality of beef. Unfortunately, currently there is no quantitative and standardized method for classifying and analyzing the color of beef. In the SNI 3932: 2008 Document any procedures undertaken for the assessment of the quality of beef are done organoleptically (Organoleptic test or sensory test is a way of testing by using the human senses as the primary means of measuring the reception power of the product) using the sense of sight of physical appearance of muscle and fat. The physical appearance value of meat and fat is then determined by using standard quality assistive devices. This method is highly subjective and unstable, as well as the speed of slow classification process with low accuracy. In this research, the image color classification system of beef is done by extracting RGB image feature of beef image by using Color feature extraction method to RGB (Red, Green, Blue). The method used to classify the color of the beef image is the Euclidean Distance method. Results obtained from the Color Classification System of Beef Image using Euclidean Distance Method in this study has an accuracy of 60%. © 2018 IEEE.

关键词： Beef

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Experiments on character and word level features for text classification using deep neural network 3

Experiments on character and word level features for text cl...

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3rd international conference on informatics and computing, ICIC 2018

作者： Gumilang, Muhammad Purwarianti, Ayu PT Prosa Solusi Cerdas Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781538669204

Text classification is a task to assign text documents according to its content to one or more classes automatically. Recently character-level models using deep neural networks have been developed to do classification text. Moreover, in some cases, character-level models have outperformed word-level models and traditional models, especially on user-generated dataset. The topologies that have been used for the character-level models are convolutional neural networks (CNN) and bidirectional recurrent neural networks (Bi-RNN), with its variants;long short-term memory (LSTM) and gated recurrent units (GRU). In this paper, CNN, Bi-RNN, and the combination of both are tested with character-level features and word-level features for text classification on English and Indonesian social media datasets. On small size datasets, word-level model outperformed character-level models. However, on dataset with millions of data, character-level model outperformed word-level model. Further analysis on the evaluation of word-level and character-level models is also discussed in this paper. © 2018 IEEE.

关键词： Long short-term memory

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User experience measurement on go-jek mobile app in Malang City 3

User experience measurement on go-jek mobile app in Malang C...

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3rd international conference on informatics and computing, ICIC 2018

作者： Hananto, April Lia Rahman, Aviv Yuniar Faculty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia Faculty of Technology and Computer Science Universitas Buana Perjuangan Karawang Indonesia Department of Informatics Engineering Universitas Widyagama Malang Indonesia

ISBN: (纸本)9781538669204

The development of online motorcycle taxis in Malang has increased especially GO-JEK. This raises competition among motorcycle taxis online, which affects online ojek service providers, especially service providers of GO-JEK compete to get customers by providing services as much as possible. This study aims to find out the level of quality of service performed by service providers PROJECT, how much satisfaction felt by passengers on services that have been done, to identify perceived problems, and make changes to improve the quality of service. The method used is using questionnaires that are distributed randomly to several locations in Malang area. The questionnaire contained 33 questions which consisted of 21 questions about service quality and 12 about, the satisfaction felt by consumers. The results of this Questionnaire were distributed to 30 people consisting of students, students, and office area which is a potential point of service users of GO-JEK. © 2018 IEEE.

关键词： Quality of service

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The Key Study of the Integration between Smartphone NFC Technology and ERP System 3

The Key Study of the Integration between Smartphone NFC Tech...

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3rd IEEE international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Zhou, Chuanhong Zhou, Tao Bai, Wuxia Shanghai Univ Shanghai Key Lab Intelligent Mfg & Robot Sch Mechatron Engn & Automat Shanghai Peoples R China

ISBN: (纸本)9781538643013

With the growing popularity of smartphone and network technology increasingly perfect, the function of the mobile phone is also growing intelligent. Smart phones with various APP have been applied throughout all aspects of life. Near Field Communication (NFC) is a short-range communication technology, the using of which on the smart phone is of great development potential. Currently, although the application of NFC technology in ERP system is relatively rare, NFC tag is of great value as a next generation of information carrier, which combines its data stream with ERP system on the phone. Firstly, this paper use the cross platform tool called Unity3D to develop the NFC tag reading and writing APP for Android system. Then, based on Android soft keyboard application, NFC input application is developed. The application aims to input NFC stream in anywhere soft keyboard could use on the phone. Finally, the NFC data encryption and data protection functions are realized in the application, which ensures the security of the NFC data. It will be integrated with the ERP system-Odoo.

关键词： NFC application NFC tag Unity3D ERP system

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Automatic comparison of products based on opinion features using synonym and jaccard similarity 3

Automatic comparison of products based on opinion features u...

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3rd international conference on informatics and computing, ICIC 2018

作者： Arifin, Agus Zainal Qomariah, Dinial Utami Nurul Riduwan, Muhammad Haniefardy, Addien Azhar, Yufis Sholikah, Rizka Wakhidatus Navastara, Dini Adni Informatics Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781538669204

The opinion features can be used to improve the quality of product recommendations. There are some previous researches that try to compare products using opinion features. They compare products using the weight of the most important features. However, that kind of approach is less effective because does not consider other features that has similar meaning in the weight counting. In this paper, we proposed new strategy that interpolates important features using synonym and Jaccard similarity for automatic product comparison. There are two main processes: get the synonym of the extracted features and count the similarity of product. The result from the experiment shows that this new strategy can get the accuracy up to 90%. © 2018 IEEE.

关键词： Jaccard similarity Opinion features Product comparison Synonym

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Proposed model on Prediction and Analysis using application of Health care 3

Proposed model on Prediction and Analysis using application ...

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3rd IEEE international conference on Communication and Electronics Systems (ICCES)

作者： Khan, Shamsuddin S. Barve, Rohit Kulkarni, Umesh St Francis Inst Technol Comp Engn Mumbai Maharashtra India Vidyalankar Inst Technol Informat Technol Mumbai Maharashtra India Vidyalankar Inst Technol Comp Engn Mumbai Maharashtra India

ISBN: (纸本)9781538647653

Proposed system does analysis and prediction of with Regression Analysis. Conceptually the Intelligence is a combination of technologies and processing (i.e. Virtualization, Cloud computing, and Machine Learning etc.). Now a day Machine learning (ML) is one of the fastest growing fields in computer science and health care informatics. ML's goal is to develop algorithm which can learn as time passes and improve also and can be used for prediction algorithm that can interact with agent and can optimize their learning behavior through these interactions where the agent can also be a human. This paper discusses about working Application of Pseudo intelligence using health care. The result of pseudo intelligence improves the efficiency in providing better survivability of people. Intelligence system is helpful to find out need requirement of a particular health care. Simple linear multivariate regression technique is used for prediction. Dataset is taken from UCI repository. We have achieved maximum accuracy using regression. Aggregation is used to convert uncertain probabilistic data into a certain data. Data mining is used for future power requirement analysis.

关键词： Regression Probabilistic data Health informatics Cognitive Learning Cloud computing

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