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

作者： Hartono, Sugiarto Kosala, Raymondus Raymond Supangkat, Suhono Harso Ranti, Benny Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781538658215

Document management system makes user to access information anytime and anywhere. The purpose of this research is to analyze what variables have impact on the intention to use of document management system. To achieve the objectives conducted by identification problem on the research model developed from the model of technology Acceptance Model and Unified Theory of Acceptance and Use of technology to the use of document management system. Furthermore, the data obtained from the respondents tested outer model, inner model test, hypothesis test and to produce a comprehensive analysis will be conducted Importance Performance Analysis. This research will result in a comprehensive analysis and able to provide recommendations and solutions for improvement from the implementation DMS has been done earlier. © 2018 IEEE.

关键词： information services

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Perceptron Partition Model to Minimize Input Matrix

Perceptron Partition Model to Minimize Input Matrix

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International Conference on Science and Innovated Engineering 2018, i-COSINE 2018

作者： Azmi, Zulfian Nasution, Mahyuddin K.M. Zarlis, Muhammad. Mawengkang, Herman Efendi, Syahril Postgraduate Doctoral of Computer Science Universitas Sumatera Utara Padang Bulan USU Medan20155 Indonesia Information Technology Department Universitas Sumatera Utara Padang Bulan USU Medan20155 Indonesia Program Pasca Sarjana Doktoral Ilmu Komputer Universitas Sumatera Utara Indonesia Department of Mathematics Universitas Sumatera Utara Padang BulanUSU Medan20155 Indonesia

Implementation of Neuron Network model using Perceptron has not given optimal result in real time learning. The large number of inputs expressed in matrix form makes the process slower in pattern recognition. So, it takes characteristic to represent all the input matrices by using the partition method. By partitioning each input and with the best weight and using the activation function will produce an output value. And learning is valid in recognizing patterns only 1 iteration only. Further validation is done on the water mill control module with dissolved oxygen input, water pH, salinity and water temperature. With Perceptron Partition learning algorithm more real-time than perceptron model. Testing on the waterwheel input whether rotating or stopping by Matrix Laboratory software simulation. © Published under licence by IOP Publishing Ltd.

关键词： Neural networks

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Comparing CART and C5.0 algorithm performance of human development index 3

Comparing CART and C5.0 algorithm performance of human devel...

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3rd International Conference on Informatics and Computing, ICIC 2018

作者： Assiroj, Priati Warnars, Harco Leslie Hendric Spits Fauzi, Ahmad Dept. of Information System Faculty of Technology and Computer Science Buana Perjuangan University Karawang Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Dept. of Computer Science Faculty of Technology and Computer Science Buana Perjuangan University Karawang Indonesia

ISBN: (纸本)9781538669204

Human Development Index (HDI) is a reference to how far the administration can develops their people. The development of a territory is related to a prosperity of the people. This research is focused on Human Development Index in West Java, a Province of Indonesia. Research identifies variables which are influence and very important to HDI and compares the model of CART and C5.0 algorithm based on HDI concept that has developed by United Nation (UN). Research uses 14 variables which are commonly used for measuring HDI and found that there are two variables that most influencing to HDI, MYS-index and EDU-Index. By knowing the MYS and EDU-Index research can predict and classify each territory to its HDI. Research could be conducted to predict HDI in the other territory. The results evaluated by measuring the accuracy and confusion matrix, 91.35 for CART algorithm and 90.80 for C5.0 algorithm. © 2018 IEEE.

关键词： Algorithm Classification Comparison EDU-Index Human Development Index (HDI) MYS-Index Territory

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Effects of mutations on MUC1-C/ED protein stability and antibody Binding: Structural insight

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Biochemical and biophysical research communications 2025年 775卷 152114页

作者： Dwipanjan Sanyal Danny Muzata Vladimir N Uversky Surender Kharbanda Sourav Chowdhury Ravi Jasuja XYone Therapeutics Canton MA USA. Department of Computer Science and Information Systems Birla Institute of Technology and Science-Pilani Hyderabad India. USF Health Byrd Alzheimer's Research Institute Morsani College of Medicine University of South Florida Tampa FL 33612 USA. Department of Biological Sciences Birla Institute of Technology and Science-Pilani Hyderabad India. Electronic address: sourav.chowdhury@hyderabad.bits-pilani.ac.in. XYone Therapeutics Canton MA USA Research Program in Men's Health: Aging and Metabolism Brigham and Women's Hospital Harvard Medical School Boston MA USA. Electronic address: rjasuja@bwh.harvard.edu.

Antibody-drug conjugates (ADCs) represent a transformative approach in cancer therapy, combining the specificity of monoclonal antibodies with targeted delivery of potent cytotoxic drugs to tumors. Discovery of novel antigens has been the hallmark for development of ADC therapeutics and MUC1 is one such oncoprotein, which has garnered renewed interest recently. The 3D1 antibody, engineered to bind specifically to the alpha 3 (α3) helix of the MUC1-C/extracellular domain, is being actively developed towards clinical translation. The study examined the conformational coupling in the residues spanning the MUC1 sea urchin sperm protein, enterokinase, and agrin domain (SEA), which incorporates MUC1-C. 3D1 has been shown to be sensitive to three specific point mutations-D85E, V86A, and T88A- at the interaction surface between MUC1-C and the 3D1 antibody. Our findings reveal that D85E and T88A mutations cause significant conformational shifts and reduced binding affinity due to altered electrostatic interactions and hydrogen bonding. The V86A mutation, while maintaining the overall conformation, disrupts local hydrophobic interactions, leading to decreased binding efficiency. Further, residue 85 in the wild-type (WT) MUC1 SEA domain interacts with other residues, contributing to local frustration and destabilization. Mutants D85E, V86A, and T88A exhibited similar frustration patterns but with increased local energy, indicating reduced stability. Frustration calculations highlighted the crucial role of the α3 helix in protein stability and antibody interaction. Collectively, these data highlight the importance of specific residues contributing to the local frustration in maintaining effective antibody binding and suggest that mutations impacting these residues can significantly alter antigen binding dynamics.

关键词： Antibody-drug conjugates (ADCs) Frustration In-silico protein modelling Point mutations Protein stability antibody binding

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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...

引用

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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Neural Machine Translation for Cebuano to Tagalog with Subword Unit Translation

arXiv

引用

arXiv 2019年

作者： M. Adlaon, Kristine Mae Marcos, Nelson College of Computer Studies De La Salle University Taft Avenue Manila Philippines Information Technology Education Program University of the Immaculate Conception Father Selga St. Davao City Philippines

—The Philippines is an archipelago composed of 7, 641 different islands with more than 150 different languages. This linguistic differences and diversity, though may be seen as a beautiful feature, have contributed to the difficulty in the promotion of educational and cultural development of different domains in the country. An effective machine translation system solely dedicated to cater Philippine languages will surely help bridge this gap. In this research work, a never before applied approach for language translation to a Philippine language was used for a Cebuano to Tagalog translator. A Recurrent Neural Network was used to implement the translator using OpenNMT sequence modeling tool in TensorFlow. The performance of the translation was evaluated using the BLEU Score metric. For the Cebuano to Tagalog translation, BLEU produced a score of 20.01. A subword unit translation for verbs and copyable approach was performed where commonly seen mistranslated words from the source to the target were corrected. The BLEU score increased to 22.87. Though slightly higher, this score still indicates that the translation is somehow understandable but is not yet considered as a good translation. Copyright © 2019, The Authors. All rights reserved.

关键词： Recurrent neural networks

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Web Security and Vulnerability: A Literature Review

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

作者： H Yulianton H L H S Warnars B Soewito F L Gaol E Abdurachman Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Faculty of Information Technology Universitas Stikubank Semarang Indonesia 50243

The web continues to grow and attacks against the web continue to increase. This paper focuses on the literature review on scanning web vulnerabilities and solutions to mitigate web attacks. Vulnerability scanning methods will be reviewed as well as frameworks for improving web security. This research is the basis for future work that will end with the elaboration of web scanning and security with the aim of proposing better innovations.

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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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Dimensional reduction using conditional entropy for incomplete information systems 1

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15th International Conference on Parallel Computing Technologies, PaCT 2019

作者： Deris, Mustafa Mat Senan, Norhalina Abdullah, Zailani Mamat, Rabiei Handaga, Bana Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Malaysia Faculty of Entrepreneurship and Business Universiti Malaysia Kelantan Pengkalan Chepa Kota BharuKelantan16100 Malaysia Faculty of Informatics and Applied Mathematics University of Malaysia Terengganu Kuala TerengganuTerengganu21030 Malaysia Program Studi Informatika Universitas Muhammadiah Surakarta SurakartaCentral Java57162 Indonesia

ISBN: (数字)9783030256364

ISBN: (纸本)9783030256357

Dimension reduction approach is one of the main data reduction approaches in order to reduce the storage and processing time while maintaining the integrity of the original data. A wide range of dimension reduction approaches are based on classical approaches such as PCA and Bayer’s, and machine learning approaches such as clustering, and feature selection techniques. However, many of the approaches do not consider the incomplete information systems where some attribute values are missing or incomplete. Only few studies were proposed for the problem in incomplete information systems due to its complexities, specifically on attribute selection. The most popular approaches is based on probability theory to replace missing values with the most common values, or remove the missing objects from the information systems. However, it needs to know the probability distribution of data in advance. To overcome these issues, we propose a new approach based on conditional entropy to reduce dimensionality. The results show that the proposed approach achieves better data reduction with higher accuracy for objects and dimensionality reduction in incomplete information systems. © 2019, Springer Nature Switzerland AG.

关键词： Data reduction

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Addressing research software sustainability via institutes

arXiv

引用

arXiv 2021年

作者： Katz, Daniel S. Carver, Jeffrey C. Chue Hong, Neil P. Gesing, Sandra Hettrick, Simon Honeyman, Tom Ram, Karthik Weber, Nicholas NCSA & CS & ECE & iSchool University of Illinois UrbanaIL United States Department of Computer Science University of Alabama TuscaloosaAL United States Software Sustainability Institute EPCC University of Edinburgh Edinburgh United Kingdom Center for Research Computing University of Notre Dame Notre DameIN United States Software Sustainability Institute ECS University of Southampton Southampton United Kingdom Software Program Australian Research Data Commons Univ. of Technology Sydney Australia Berkeley Institute for Data Science University of California BerkeleyCA United States Information School University of Washington SeattleWA United States

Research software is essential to modern research, but it requires ongoing human effort to sustain: to continually adapt to changes in dependencies, to fix bugs, and to add new features. Software sustainability institutes, amongst others, develop, maintain, and disseminate best practices for research software sustainability, and build community around them. These practices can both reduce the amount of effort that is needed and create an environment where the effort is appreciated and rewarded. The UK SSI is such an institute, and the US URSSI and the Australian AuSSI are planning to become institutes, and this extended abstract discusses them and the strengths and weaknesses of this approach. Copyright © 2021, The Authors. All rights reserved.

关键词： Sustainable development

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