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Developing The Pointer Backward-Forward Algorithm In Token Of Test In Text To Know The Level Of Individual Depression

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Journal of Physics: Conference Series 2019年第1期1361卷

作者： Hasanul Fahmi Muhammad Zarlis Zakarias Situmorang Adli A Nababan Yulia A Dalimunthe Yessi F Annisah Mufida Khairani Departement of Computer Science Doctoral Program Faculty of Computer Science and Information Technology Sumatera Utara University St. Universitas No.9A Medan-Indonesia Computer Science Departement Universitas Katolik Santo Thomas STMIK Pelita Nusantara Sumatera Utara Indonesia Teknik Informatika - Universitas Harapan Medan Indonesia

The way you move and sleep, interact with people around you, depression change everything. This even looks at the way you talk and express yourself in writing. Sometimes this 'depression language' can have a strong effect to others. Natural Language Processing (NLP) is one of the fields of computer science, artificial intelligence, and language (linguistics) related to the interaction between computers and natural human languages, such as Indonesian or English. The main objective of the NLP study is to make a machine that is able to know and understand the meaning of language, lexical analysis has the role of reading input characters and generating output tokens and making spaces, tabs, newlines and connecting rows of programs. However, the problems will occur when lexical analyzers where lexical is not able to determine when there are misspellings on tokens. Therefore, with the development of the backward-forward pointer algorithm, it is expected that in the future it will be easier to analyze both the words in front, in the middle and behind, so that the machine can quickly determine the individual depression level of speech tokens and speech tones.

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Probing the universality of topological defect formation in a quantum annealer: Kibble-Zurek mechanism and beyond

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Physical Review Research 2020年第3期2卷 033369-033369页

作者： Yuki Bando Yuki Susa Hiroki Oshiyama Naokazu Shibata Masayuki Ohzeki Fernando Javier Gómez-Ruiz Daniel A. Lidar Sei Suzuki Adolfo del Campo Hidetoshi Nishimori Institute of Innovative Research Tokyo Institute of Technology Nagatsuta-cho Midori-ku Yokohama 226-8503 Japan Institute of Innovative Research Tokyo Institute of Technology Oh-okayama Meguro-ku Tokyo 152-8550 Japan Department of Physics Tohoku University Sendai 980-8578 Japan Graduate School of Information Sciences Tohoku University Sendai 980-8579 Japan Sigma-i Co. Ltd. Konan Minato-ku Tokyo 108-0075 Japan Donostia International Physics Center E-20018 San Sebastián Spain Departments of Electrical and Computer Engineering Chemistry and Physics University of Southern California Los Angeles California 90089 USA Center for Quantum Information Science & Technology University of Southern California Los Angeles California 90089 USA Department of Liberal Arts Saitama Medical University Moroyama Saitama 350-0495 Japan IKERBASQUE Basque Foundation for Science E-48013 Bilbao Spain Department of Physics University of Massachusetts Boston 100 Morrissey Boulevard Boston Massachusetts 02125 USA RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) Wako Saitama 351-0198 Japan

The number of topological defects created in a system driven through a quantum phase transition exhibits a power-law scaling with the driving time. This universal scaling law is the key prediction of the Kibble-Zurek mechanism (KZM), and testing it using a hardware-based quantum simulator is a coveted goal of quantum information science. Here we provide such a test using quantum annealing. Specifically, we report on extensive experimental tests of topological defect formation via the one-dimensional transverse-field Ising model on two different D-Wave quantum annealing devices. We find that the quantum simulator results can indeed be explained by the KZM for open-system quantum dynamics with phase-flip errors, with certain quantitative deviations from the theory likely caused by factors such as random control errors and transient effects. In addition, we probe physics beyond the KZM by identifying signatures of universality in the distribution and cumulants of the number of kinks and their decay, and again find agreement with the quantum simulator results. This implies that the theoretical predictions of the generalized KZM theory, which assumes isolation from the environment, applies beyond its original scope to an open system. We support this result by extensive numerical computations. To check whether an alternative, classical interpretation of these results is possible, we used the spin-vector Monte Carlo model, a candidate classical description of the D-Wave device. We find that the degree of agreement with the experimental data from the D-Wave annealing devices is better for the KZM, a quantum theory, than for the classical spin-vector Monte Carlo model, thus favoring a quantum description of the device. Our work provides an experimental test of quantum critical dynamics in an open quantum system, and paves the way to new directions in quantum simulation experiments.

关键词： Critical exponents Nonequilibrium statistical mechanics Open quantum systems Quantum computation Quantum master equation Quantum simulation Quantum statistical mechanics Quantum spin models

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The Application of AGNES Algorithm to Optimize Knowledge Base for Tourism Chatbot

The Application of AGNES Algorithm to Optimize Knowledge Bas...

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International Conference on information Management and technology (ICIMTech)

作者： Albert Verasius Dian Sano Tanto Daud Imanuel Mega Intanadias Calista Hendro Nindito Andreas Raharto Condrobimo Computer Science Study Program Bina Nusantara Institute of Creative Technology Malang Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

Most tourists have limited time and schedule when they are visiting a particular tourism area. One of the main issues faced by those tourists is that they can not make simple queries to search engines about, for example, which sites or places to visit optimally if we only have one day or two-day visit? Search engines are better and better in replying users' queries with relevant answers. However, search engines are not always able to respond queries suited to users' characteristics such as their styles, personalities, knowledge backgrounds, etc. Also, search engines are not as flexible as chatbots in enabling dialogical-communication-queries. This case study aims to respond aformentioned issue by applying hierarchical cluster analysis on a set of tourism sites around Malang city, Malang regency, and Batu city based on AGNES (Agglomerative Nesting) algorithm. The result, then, is fed into chatbot's knowledge base. This chatbot will assist tourists to get information on which possible sites they have to visit optimally if they are under limited vacancy-time constraints.

关键词： Urban areas Knowledge based systems Clustering algorithms Search engines Merging Data mining

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Object retrieval in past video using bag-of-words model 6

Object retrieval in past video using bag-of-words model

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6th International Conference on Control, Automation and information sciences, ICCAIS 2017

作者： Nguyen-Hoang, Manh-Tien Le, Tu-Khiem Ninh, Van-Tu Che, Quoc-Huu Nguyen, Vinh-Tiep Tran, Minh-Triet Advanced Program in Computer Science University of Science Viet Nam Multimedia Communications Laboratory University of Information Technology Viet Nam Faculty of Information Technology University of Science Viet Nam

ISBN: (纸本)9781538631140

Together with the technology advancement, computer Vision plays an important role in enhancing smart computing systems to help people overcome obstacles in their daily lives. One of the common troublesome problems is human memorization ability, especially memorizing things such as personal items. It is annoying for people to waste their time finding lost items manually by recall or notes. This motivates the authors to propose a solution that can help a user find an item that he or she already saw but vaguely remembers where and when it appeared in the past. The user simply provides our system a single image of that item, then the system retrieves a rank list of visual scenes that may contain the item from video recorded implicitly during user's daily activities. Our method is based on Bag-of-Words model, one of the most famous methods in image retrieval. We first conduct experiments to find the appropriate parameters and configurations of Bag-of-Words system for visual instance search. Then we perform experiments with 110 visual queries of 30 common objects in real video with 2837 shots recorded during daily activities of volunteers. Experimental results show that for all 30/30 categories of objects, our system can help users find their objects of interest just by looking into the top 10 video shots retrieved from recorded video with the balance accuracy from 50 to 80%. This demonstrates the potential use of our method to help people remind of their items in an easy and comfortable way. © 2017 IEEE.

关键词： Image retrieval

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Higher Education Student’s Academic Performance Analysis through Predictive Analytics

Higher Education Student’s Academic Performance Analysis th...

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2018年第七届软件与计算机应用国际会议

作者： Ceasar Ian P.Benablo Evangeline T.Sarte Joe Marie D.Dormido Thelma Palaoag Information Technology Education Program University of the Immaculate Conception2. College of Engineering and Technology Our Lady of the Pillar College3. Institute of Information Technology Carlos Hilado Memorial State College College of Information Technology and Computer Science University of the Cordilleras

As both localization and globalization continue to demand for knowledgeable and skilled individuals, it is imperative that higher education institutions（HEIs） produce quality graduates that can cope-up with it. Since then, this has been the goal of many of these institutions in the Philippines. However, the efforts of these institutions to deliver quality education aimed to equip the students often fall short when students are found to be underperforming academically because of over-exposure and addiction to social media. The challenge now with educators is to assess the performance of these students at an early stage and do the necessary interventions. With this, the researcher saw an opportunity to create a predictive classification model that can be used in predicting the academic performance of higher education students. Through Support Vector Machine（SVM）, the academic profile of past students are categorized into performing and underperforming and this formed part of the predictive classification model. The accuracy of the model have been measured through cross-validation. The test results revealed that the model were able to appropriately predict if a student needs intervention or not with respect to academic performance.

关键词： Academic Performance Predictive Analytics Predictive Classification Model Social Media Support Vector Machine

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Analysis of Decision Tree and Smooth Support Vector Machine Methods on Data Mining

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Journal of Physics: Conference Series 2019年第1期1255卷

作者： Natalina Br Sitepu Sawaluddin M Zarlis Syahril Efendi Hanna Willa Dhany Informatic Engineering Study Program Magister Faculty of Computer Science and Information Technology Universitas Sumatra Utara Medan - Indonesia

This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This research was conducted by conducting an experiment on STMIK Neumann Medan student data. In this study, it was concluded that Decision Tree performance is better than SSVM, Decision Tree gets very good results that promise to help find the best students to get scholarships. This study is better than SSVM. The training process has a difference of 11.04% and the testing process is 10.08% with each Accuracy.

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Testing Real-Time Applications on Windows 10 IOT Using the Nyquist Theory

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Journal of Physics: Conference Series 2019年第1期1255卷

作者： Zulfahmi Syahputa M. Zarlis Beny B. Nasution Informatics Engineering Study Program Magister Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan-Indonesia

Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating system, so the real-time system can be done on Raspberry Pi. The real-time applied in the application needs to be tested with the Nyquist theory. The purpose of this study was to get real-time system measurements available on Windows 10 IoT. This test is done using the Nyquist theory by calculating the results of measurements on mp3 streaming performed on Windows 10 IoT.

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Closed-loop sparse channel estimation for wideband millimeter-wave full-dimensional MIMO systems

arXiv

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arXiv 2019年

作者： Liao, Anwen Gao, Zhen Wang, Hua Chen, Sheng Alouini, Mohamed-Slim Yin, Hao School of Information and Electronics Beijing Institute of Technology Beijing100081 China School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom King Abdulaziz University Jeddah21589 Saudi Arabia Electrical Engineering Program Division of Physical Sciences and Engineering King Abdullah University of Science and Technology Thuwal Makkah Province Saudi Arabia Institute of China Electronic System Engineering Corporation Beijing100141 China

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplexing based systems, which exploits the channel sparsity in both angle and delay domains. At the downlink CE stage, random transmit precoding matrix is designed at base station (BS) for channel sounding, and receive combining matrices at user devices (UDs) are designed whereby the hybrid array is visualized as a low-dimensional digital array for facilitating the multi-dimensional unitary ESPRIT (MDU-ESPRIT) algorithm to estimate respective angle-of-arrivals (AoAs). At the uplink CE stage, the estimated downlink AoAs, namely, uplink angle-of-departures (AoDs), are exploited to design multi-beam transmit precoding matrices at UDs to enable BS to estimate the uplink AoAs, i.e., the downlink AoDs, and delays of different UDs, whereby the MDU-ESPRIT algorithm is used based on the designed receive combining matrix at BS. Furthermore, a maximum likelihood approach is proposed to pair the channel parameters acquired at the two stages, and the path gains are then obtained using least squares estimator. According to spectrum estimation theory, our solution can acquire the super-resolution estimations of the AoAs/AoDs and delays of sparse multipath components with low training overhead. Simulation results verify the better CE performance and lower computational complexity of our solution over state-of-the-art approaches. Copyright © 2019, The Authors. All rights reserved.

关键词： Millimeter waves

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Digital Dictionary Using Binary Search Algorithm

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Journal of Physics: Conference Series 2019年第1期1255卷

作者： Riski Muhamad Fitrian Insan Taufik Muhammad Sabir Ramadhan Neni Mulyani Jeperson Hutahaean Arjon Samuel Sitio Hengki Tamando Sihotang Teknik Informatika STMIK Pelita Nusantara Medan Sumatera Utara Indonesia Doctoral Program Vocational Technology Education Postgraduate Engineering Faculty Padang State University Padang West Sumatera Indonesia Sistem Informasi STMIK Royal Kisaran Sumatera Utara Indonesia Doctoral Program Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan-Indonesia

Digital Dictionary of computer and Network Engineering can be used in the learning process of computer and nerwork enginering students. Dictionaries are generally book-shaped is hard to carry because of their thick and heavy, now can be accessed anywhere by development of web technology. Digital dictionaries can be accessed through computers, laptops dan cellphones, this is make student easily in learning process. The digital dictionary can not only be used by students of computer and network engineering, but can also by general public, as long as you have an internet connection, anyone can be use this digital dictionaries. The main process in this digital dictionary is the search process. Binary search algorithm used in the search process of binary search algoritm. Binary search algoritm search is applied to word search in this digital dictionary, because this algoritm is intended for sequintal data. program language that will be used to build this digital dictionary is PHP and MySQL.

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Implementation of Certainty Factor Method for Expert System

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Journal of Physics: Conference Series 2019年第1期1255卷

作者： Ade Setiawan Sembiring Sulindawaty Olven Manahan Merlin Helentina Napitupulu Penda Sudarto Hasugian Fristi Riandari R. Mahdalena Simanjorang Agustina Simangunsong Yulia Utami Hengki Tamando Sihotang Teknik Informatika STMIK Pelita Nusantara Medan Sumatera Utara Indonesia Doctoral Program Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan-Indonesia Politeknik Trijaya Krama Medan Sumatera utara Indonesia

PC computer is a flexible electronic device and can receive and process data quickly and accurately, and can also store data for a long time. There is a time when the PC hardware is damaged. So that it annoys the user. In connection with the problems that occur, the researchers aim to build an Expert System application to diagnose damage to PC computers using the Certainty Factor method by using Visual Studio 2010 applications and using Microsoft Access 2013 as a database. Applications that are built can be an alternative in knowing the type of damage and provide alternative solutions in handling damage to PC computer hardware.

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