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arXiv 2019年

作者： Huang, Ming-Siang Lai, Po-Ting Tsai, Richard Tzong-Han Hsu, Wen-Lian Bioinformatics Program Taiwan International Graduate Program Institute of Information Science Academia Sinica Taipei Taiwan Institute of Biomedical Informatics National Yang Ming University Taipei Taiwan Department of Computer Science National Tsing-Hua University Hsinchu Taiwan Intelligent Agent Systems Laboratory Institute of Information Science Academia Sinica Taipei Taiwan Intelligent Information Service Research Laboratory Department of Computer Science and Information Engineering National Central University Taoyuan Taiwan

The advancement of biomedical named entity recognition (BNER) and biomedical relation extraction (BRE) researches promotes the development of text mining in biological domains. As a cornerstone of BRE, robust BNER system is required to identify the mentioned NEs in plain texts for further relation extraction stage. However, the current BNER corpora, which play important roles in these tasks, paid less attention to achieve the criteria for BRE task. In this study, we present Revised JNLPBA corpus, the revision of JNLPBA corpus, to broaden the applicability of a NER corpus from BNER to BRE task. We preserve the original entity types including protein, DNA, RNA, cell line and cell type while all the abstracts in JNLPBA corpus are manually curated by domain experts again basis on the new annotation guideline focusing on the specific NEs instead of general terms. Simultaneously, several imperfection issues in JNLPBA are pointed out and made up in the new corpus. To compare the adaptability of different NER systems in Revised JNLPBA and JNLPBA corpora, the F1-measure was measured in three open sources NER systems including BANNER, Gimli and NERSuite. In the same circumstance, all the systems perform average 10% better in Revised JNLPBA than in JNLPBA. Moreover, the cross-validation test is carried out which we train the NER systems on JNLPBA/Revised JNLPBA corpora and access the performance in both protein-protein interaction extraction (PPIE) and biomedical event extraction (BEE) corpora to confirm that the newly refined Revised JNLPBA is a competent NER corpus in biomedical relation application. The revised JNLPBA corpus is freely available at ***/BNER/Content/Revised_***. Copyright © 2019, The Authors. All rights reserved.

关键词： Proteins

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

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Journal of Physics: Conference Series 2020年第2期1477卷

作者： NM Faizah Surohman L Fabrianto Hendra R Prasetyo 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.

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Analysis of the Passive Fragments Influence in Broadband Signals with Manipulated information Entropy on the Data Transmission Reliability

Analysis of the Passive Fragments Influence in Broadband Sig...

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International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Stepan Melnychuk Iryna Manuliak Computer systems and networks department of Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine Department of Information Technology and Program Engineering of King Danylo University Ivano-Frankivsk Ukraine

ISBN: (数字)9781728141848

ISBN: (纸本)9781728141855

Current methods of digitally processing communication signals, which are distorted in the computer systems communication channels, are often based on the use of amplitude, phase and spectral characteristics. Correlation methods are also used to ensure immunity. A common disadvantage of these methods is the need for significant computational cost. One of the partial solutions to the described problem may be to use the signals probabilistic characteristics, in particular information entropy. This approach is based on the representation of digital message bits to the corresponding fragments of broadband signals with manipulated information entropy. In fact, signals are formed on the basis of random processes with normal distribution of possible states. The use of passive fragments in such signals can reduce the energy cost of data transmission. When passing through a communication channel, passive fragments are filled with their own channel noise. As a result, the channel's own noise extends the number of possible signal amplitude states and can be used to improve the resolution. According to the results of studies, the dependence of the probability of distortion of the information message binary symbol on the normalized signal/noise ratio is obtained. It is shown that the use of passive fragments improves noise immunity by 3-4 dB within the normalized signal/noise ratio at the input from -5 dB to 14 dB. However, at 14 dB or more, noise immunity worsens. Thus, the main scope of the proposed method can be problematic channels with low signal/noise ratio.

关键词： Distortion information entropy Estimation Lead Interference Probability Broadband communication

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

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Journal of Physics: Conference Series 2020年第3期1477卷

作者： L Fabrianto Hendra Surohman Sfenrianto NM Faizah Master of Computer Science-Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 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.

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Corrigendum to “Using remote sensing to calculate floating photovoltaic technical potential of a dam’s surface” [Sustain. Energy Technol. Assess. 41 (2020) 100799]

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Sustainable Energy Technologies and Assessments 2021年 43卷

作者： Ali Murat Ates Osman Salih Yilmaz Fatih Gulgen Manisa Celal Bayar University Faculty of Education Computer and Instructional Technologies Department Turkey Manisa Celal Bayar University Demirci Vocational School Geographical Information Systems Program Turkey Yildiz Technical University Faculty of Civil Engineering Geomatic Engineering Department Turkey

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Intelligent E-commerce for Special Needs

Intelligent E-commerce for Special Needs

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International Conference on Cyber and IT Service Management (CITSM)

作者： Diana Teresia Spits Warnars Leonardo Primadala Putra Logiansa Harco Leslie Hendric Spits Warnars Wiranto Herry Utomo School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Computing President University Bekasi Indonesia

Special need is a person who need assistance for their disabilities which include medical, physical, mental or psychological such as person with autism, down syndrome, dyslexia, Attention Deficit Hyperactivity Disorder (ADHD), multiple sclerosis, schizophrenia, cystic fibrosis, cerebral palsy, muscular dystrophy, blindness, deafness, epilepsy, chronic asthma and so on. In this proposed research idea about intelligent E-commerce for special needs, we limited to four types of difficulties such as hearing difficulty, vision difficulty, language difficulty, and learning difficulty. In this paper, we interest in those special needs persons who can use e-commerce and how to model a system that can help them to joy and easy to join with e-commerce. For some, this intelligent e-commerce is not only for shopping only but will become part of their healing for special needs in order to engage with daily human activities and increase their daily confidence in life. This paper also a preliminary investigation that can be used for Ph.D. or Doctoral research degree who is interested in building e-commerce framework for people with a special need or disability.

关键词： Companies Machine learning Speech recognition Tools Pricing

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Questions Classification in Online Discussion Towards Smart Learning Management System 3

Questions Classification in Online Discussion Towards Smart ...

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3rd International Conference on information Management and Technology, ICIMTech 2018

作者： Wijanarko, Bambang Dwi Murad, Dina Fitria Heryadi, Yaya Lukas Toba, Hapnes Budiharto, Widodo Computer Science Department Doctor of Computer Science Computer Science Department BINUS Online Learning Bina Nusantara University BINUS Graduate Program Jakarta11480 Indonesia Information Systems Department Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University BINUS Online Learning Jakarta11480 Indonesia Jakarta12930 Indonesia

ISBN: (纸本)9781538658215

The widespread interest toward online learning at higher education worldwide brings about necessity toward an smart Learning Management System (LMS), LMS with analytic functionalities, to increase learning outcome of the students. In an effort to develop a smart LMS which is able to both guiding students on learning process and giving automated feedback on online learning delivery to online learning management, this paper presents a preliminary and exploratory results toward textual documents from learning material repository and online discussion forum. The dataset for this study obtained from Bina Nusantara Online Learning repository. The study found interesting finding namely: There is a significant discrepancy between cognitive domain Taxonomy level between question raised in discussion forum and its respective level of learning outcomes. This findings were confirmed using Anova with P-value © 2018 IEEE.

关键词： Social networking (online)

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The Key Success Factors in E-Marketplace Implementation: A Systematic Literature Review 3

The Key Success Factors in E-Marketplace Implementation: A S...

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3rd International Conference on information Management and Technology, ICIMTech 2018

作者： Prihastomo, Yoga Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 12940 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Faculty of Computer Science University of Indonesia Depok16424 Indonesia Management Department Bina Nusantara University BINUS Business School Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Globally, internet users and mobile phone are increasing significantly all the time. One of the impacts from the growth of it, there is the revolution in a traditional market. Nowadays, people tend to buy something through an online channel or electronic marketplace (e-marketplace). This study aims to obtain literature of key success factors of e-marketplace implementation. It uses Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to articles published in 2005-2018. A total of 231 articles obtain from considerable databases for instance: IEEE Explore, ACM Digital Library, Science Direct and etc. Furthermore, it validates and examines in order to obtain 37 articles which can be used as the main study. As the result, it finds 11 key success factors for e-marketplace as follows: Trust, technical, platform, platform owner, product, service operation, seller, marketing and sales, payment channel, buyer, and environmental. © 2018 IEEE.

关键词： Digital libraries

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Diffusive topological transport in spatiotemporal thermal lattices

arXiv

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arXiv 2021年

作者： Xu, Guoqiang Yang, Yihao Zhou, Xue Chen, Hongsheng Alù, Andrea Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Kent Ridge117583 Singapore Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou China School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing400067 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining314400 China Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center of the City University of New York New YorkNY10016 United States

Topological insulating phases are usually found in periodic lattices stemming from collective resonant effects, and it may thus be expected that similar features may be prohibited in thermal diffusion, given its purely dissipative and largely incoherent nature. We report the diffusion-based topological states supported by spatiotemporally-modulated advections stacked over a fluidic surface, thereby imitating a periodic propagating potential in effective thermal lattices. We observe edge and bulk states within purely nontrivial and trivial lattices, respectively. At interfaces between these two types of lattices, the diffusive system exhibits interface states, manifesting inhomogeneous thermal properties on the fluidic surface. Our findings establish a framework for topological diffusion and thermal edge/bulk states, and it may empower a distinct mechanism for flexible manipulation of robust heat and mass transfer. © 2021, CC BY.

关键词： Interface states

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Big Data Governance for Building A Smart Cities

Big Data Governance for Building A Smart Cities

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International Conference on ICT For Smart Society (ICISS)

作者： Novan Zulkarnain Raymond Kosala Benny Ranti Suhono Harso Supangkat Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia Computer Science Department Universitas Indonesia Depok Indonesia School of Electrical and Informatics Engineering Institute of Technology Bandung Bandung Indonesia

There have been many studies conducted related to Smart City, IT Governance and Big Data. In this study aims to find out how the relationship between the three and how to form a framework to explain it. The methodology used is qualitative by looking for some literature on smart city framework, IT Governance framework, and a Big Data framework. From these results, an overall picture of the relationship between the three is concluded, where Big Data has a role in IT Governance. and also the relationship of IT Governance to the realization of Smart City. And the final results of this study produce a framework to explain the relationship between Smart City, IT Governance and Big Data.

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