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information retrieval system in text-based skripsi document search file using vector space model method

Journal of Physics: Conference Series 2019年第1期1367卷

作者： Mochammad Abdul Azis Abdul Hamid Ahmad Fauzi Yudhistira Eko Yulianto Verry Riyanto Ridwansyah Sfenrianto Information System Bina Sarana Informatika University Jakarta Indonesia. Departement of Informatic Technology STMIK Nusa Mandiri Jakarta Indonesia. Information Systems Management Department BINUS Graduate Program–Master of Information Systems Management Bina Nusantara University Jakarta Indonesia.

Speed and simplicity in the process of finding documents and information have become a necessity in the campus library. The speed in finding a skripsi document that is currently still very long to find the data and more simple in displaying what you are looking for then we aim to search and find skripsi documents in a digital library at a private university in Jakarta more quickly and display what which is searched precisely. An approach is needed using the VSM method that encourages without complete keywords, and to see the effectiveness of research searches. The results of the VSM method can be applied for the development of prototype applications. The prototype used to facilitate the process of searching or finding the documents and information needed is fast and simple.

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Feasibility of Single-Lead Apple Watch Electrocardiogram in Atrial Fibrillation Detection Among Heart Failure Patients

JACC: Advances

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JACC: Advances 2024年第7P2期3卷 101051页

作者： Heo, Rachel H. Foroutan, Farid De Luca, Enza Albertini, Lisa Rac, Valeria E. Cafazzo, Joseph A. Hershman, Steve G. Duero Posada, Juan G. Ross, Heather J. Moayedi, Yasbanoo University of Toronto Ted Rogers Centre for Heart Research University of Toronto Program for Health System and Technology Evaluation Toronto General Hospital Research Institute University Health Network Institute of Health Policy Management and Evaluation Dalla Lana School of Public Health University of Toronto Centre for Digital Therapeutics Biomedical Engineering University Health Network Institute of Health Policy Management and Evaluation Institute of Biomedical Engineering University of Toronto School of Information The University of Texas at Austin

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Modeling on clinical group decision support system for screening and working diagnosis acute respiratory infections

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IOP Conference Series: Materials Science and Engineering 2019年第1期508卷

作者： Muhammad Syaukani Sri Hartati Hari Kusnanto Suryo Guritno Study Program of Information Technology STMIK Indonesia Banjarmasin Indonesia Dept. of Computer Science and Electronics Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Yogyakarta Indonesia Study Program of Publich Health Interests Health Management Information System Faculty of Medicine Universitas Gadjah Mada Yogyakarta Indonesia

There are cases of patients with Acute Respiratory Infection (ARI) which are not handled quickly and appropriately at emergency department (ED), thus there should be a medium that can assist medical personnel in making decisions. This research proposes the development model of Clinical Group Decision Support systems (CGDSS) named KLISPA models. KLISPA model can accommodate a screening process to the working diagnosis process of ARI by integrating Case Based Reasoning (CBR) and Groups Decision Support system (GDSS). Screening process completed by CBR using Nearest Neighbor method. This process helps medical personnel such as nurses, co asst doctors, and general practitioners to do screening to patients for determining the early solution to the disease. Meanwhile, the working diagnosis solved by GDSS uses the methods of Eckenrode, Extended TOPSIS and BoostVote. This process accommodates the needs of joint decision-making which involves groups of Decision Maker (DM) consisting of pediatrician, child lung specialist doctor, and the radiologist doctor.

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

SSRN

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Wallas model problem-solving to identify prospective mathematics teachers ’expectations of students’ creative thinking processes

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AIP Conference Proceedings 2024年第1期3148卷

作者： Mohammad Tohir Muhasshanah Muhasshanah Ahmad Choirul Anam Leni Agustina Daulay Wahyu Sardjono Mathematics Education Ibrahimy University Situbondo East Java 68374 Indonesia Information Technology Ibrahimy University Situbondo East Java 68374 Indonesia Mathematics Education State Islamic Institute of Takengon Aceh 24519 Indonesia Information System Management Department BINUS Graduate Program - Master of Information Systems Management. Bina Nusantara University Jakarta 11480 Indonesia

The mathematical thinking processes of prospective teachers in solving mathematical problems vary, especially the thinking processes they expect from their students. The four stages of the Wallas Model creative thinking process are preparation, incubation, illumination, and verification. The purpose of this research is to describe the creative thinking process that prospective teachers expected from their students in solving mathematical problems based on the Wallas model. The research technique employed is a mixed-methods approach. The participants in this study were 34 aspiring math teachers in mathematics education study program at Ibrahimy University. The Miles and Huberman model was used to evaluate the data collected from observation, test results, and interviews was confirmed using triangulation. The results of this study show that:(1) Prospective teachers expect their students to be able to carry out the four steps of the Wallas model of the creative thinking process when solving mathematical problems; (2) the expectations of the subject of the majority of high groups want students to be able to meet all stages of the Wallas model; (3) medium and low group subject expectations tend to desire the three-stage Wallas model reasonably; (4) the percentage of achievement indicator of the thinking process creative expected by prospective teachers to students in problem-solving based on the Wallas model were obtained for Preparation (73.53%), Incubation (91.18%), Illumination (82.35%), and Verification (44.12%). This research results findings should be followed up in a teacher or lecturer meeting to learn students’ creative thinking expectations in mathematics and other disciplines.

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Applying fuzzy functions and sequential coordination to optimization of machinery arrangement and pipe routing

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 43-54页

作者： Wu, BC Young, GS Schmidt, W Choppella, K Dr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young: a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi

Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.

关键词： Optimization

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military Engineering

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Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 19-34页

作者： Zhongbing Chang Lei Fan Jean-Pierre Wigneron Ying-Ping Wang Philippe Ciais Jérôme Chave Rasmus Fensholt Jing MChen Wenping Yuan Weimin Ju Xin Li Fei Jiang Mousong Wu Xiuzhi Chen Yuanwei Qin Frédéric Frappart Xiaojun Li Mengjia Wang Xiangzhuo Liu Xuli Tang Sanaa Hobeichi Mengxiao Yu Mingguo Ma Jianguang Wen Qing Xiao Weiyu Shi Dexin Liu Junhua Yan Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhou 510650China University of Chinese Academy of Sciences Beijing 100049China Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station School of Geographical SciencesSouthwest UniversityChongqing 400715China INRAE UMR1391 ISPAUniversite de BordeauxF-33140 Villenave d’OrnonFrance CSIRO Oceans and Atmosphere AspendaleVIC 3195Australia Laboratoire des Sciences du Climat et de l’Environnement CEA/CNRS/UVSQ/Universite Paris SaclayGif-sur-YvetteFrance Laboratoire Evolution et Diversite Biologique Universite Paul SabatierToulouseFrance Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagenDenmark Department of Geography and Program in Planning University of TorontoTorontoON M5S 3G3Canada College of Geographical Science Fujian Normal UniversityFuzhou 3500007FujianChina School of Atmospheric Sciences Sun Yat-sen UniversityZhuhai 519082GuangdongChina Southern Marine Science and Engineering Guangdong Laboratory Zhuhai 519000GuangdongChina Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing 100101China Department of Microbiology and Plant Biology Center for Spatial AnalysisUniversity of OklahomaNormanOKUSA LEGOS Universite de ToulouseCNESCNRSIRDUPS-14 avenue Edouard Belin31400 ToulouseFrance State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Climate Change Research Centre University of N

Over the past 2 to 3 decades,Chinese forests are estimated to act as a large carbon sink,yet the magnitude and spatial patterns of this sink differ considerably among *** 3 microwave(L-and X-band vegetation optical depth[VOD])and 3 optical(normalized difference vegetation index,leaf area index,and tree cover)remote-sensing vegetation products,this study compared the estimated live woody aboveground biomass carbon(AGC)dynamics over China between 2013 and *** results showed that tree cover has the highest spatial consistency with 3 published AGC maps(mean correlation value R=0.84),followed by L-VOD(R=0.83),which outperform the other *** AGC estimation model was proposed to combine all indices to estimate the annual AGC dynamics in China during 2013 to *** performance of the AGC estimation model was good(root mean square error=0.05 Pg C and R^(2)=0.90 with a mean relative uncertainty of 9.8% at pixel scale[0.25°]).Results of the AGC estimation model showed that carbon uptake by the forests in China was about+0.17 Pg C year^(-1) from 2013 to *** the regional level,provinces in southwest China including Guizhou(+22.35 Tg C year^(-1)),Sichuan(+14.49 Tg C year^(-1)),and Hunan(+11.42 Tg C year^(-1))provinces had the highest carbon sink rates during 2013 to *** of the carbon-sink regions have been afforested recently,implying that afforestation and ecological engineering projects have been effective means for carbon sequestration in these regions.

关键词： estimation Remote microwave

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Usability evaluation of exercise games for medical interactive rehabilitation assistance (MIRA) system for tele-rehabilitation

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AIP Conference Proceedings 2022年第1期2644卷

作者： Norasikin Fabil Waidah Ismail Evi Indriasari Mansor Kavintheran A/L Thambiratnam Rimuljo Hendradi 1Faculty Science and Technology Universiti Sains Islam Malaysia Bandar Baru Nilai 71800 Nilai Negeri Sembilan Malaysia 2Business Analytics Master Program Abu Dhabi School of Management Abu Dhabi United Arab Emirates 3Photonics Research Centre Deputy Vice Chancellor (Research & Innovation) Office University of Malaya 50603 Kuala Lumpur Malaysia 4Information System Study Program Universitas Airlangga Indonesia Kampus C Surabaya Indonesia

Rehabilitation therapy is a fundamental need for patients that suffer from illness, effects after accident or surgery. The patients need to perform traditional rehabilitation for undergo clinical therapy sessions handled by a therapist in monitoring the patient's improvement. Once the patients discharge, they need to perform consistently exercise remotely at home or outside from rehabilitation centre, Telerehabilitation was introduced. One of the exercises to encourage patients is using exercise games (exergames). In this paper, we are concentrating on usability evaluation of exergames named Medical Interactive Rehabilitation Assistance (MIRA) system with Twenty-eight exercises performed by patients. We performed data collection using qualitative and quantitative for 45 patients from SOSCO Rehabilitation Centre in Malacca. The questionnaire consists of three sections - demographic, usage of the MIRA system and lastly participant's opinion. In conclusion, the findings showed positive feedback in using exergames as part of their rehab exercise that can lead into implementation of Telerehabilitation.

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FFG-61 PROTOTYPE DIGITAL TECHNICAL LIBRARY

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NAVAL ENGINEERS JOURNAL 1992年第2期104卷 58-68页

作者： VINROOT, CA ORNER, JG USN Capt. Charles A. Vinroot USN (Ret.)retired from the U.S. Navy in September 1991 following over 27 years of active duty as an engineering duty officer. He holds a BSEE from North Carolina State University and a MSEE and professional degree from the U.S. Naval Postgraduate School. During his naval career he served on USSIndependence (CVA-62) and USSLuce (DLC-7/DDC-38). He also served at Supship Quincy Mass. and Hunters Point Naval Shipyard. He was stationed in Washington D.C. with assignments at CNO (OP 98) ASN (S&L) and the Naval Sea Systems Command. Captain Vinroot was technical director of the Battleship Reactivation Program (PMS 378) technical director of the Destroyer Acquisition Program (PMS 389) and deputy program manager of the Amphibious Warfare and Strategic Sealift Program (PMS 377). Most recently he served as program manager for Gas Turbine Surface Combatants (PMS 314) and Surface Combatants (PMS 330). Captain Vinroot is now employed by PRC Inc. and serves as technical director for the Advanced Technology Division in Crystal City Va. Jeffery G. Ornergraduated from Wittenberg University in Springfield Ohio in 1979 with a bachelor of arts degree in political science and earned a master's of science degree in business from The American University in Washington D.C. in 1982. He has ten years of professional experience with the Naval Sea Systems Command in positions with responsibilities for logistic support planning policy and delivery computer-aided acquisition and logistic support and Fleet Modernization Program (FMP) and ship construction issues. He was a key player in establishing the current FMP integrated logistic support (ILS) process and in implementing of the Ships' Configuration and Logistic Support Information System (SCLSIS). His current position as Fleet Logistic Support Branch head for the Surface Combatant Program includes responsibility for logistic support and management of ship configuration and logistic data for all surface combatant ships (except for Aegis ships). In

USS Ingraham (FFG-61) is the prototype ship for NavSea's Advanced Technical information system (ATIS). ATIS is a digital technical library, which holds on optical disks the ship's 2,000 technical manuals and 73,000 drawing sheets. It contains a detailed ship's configuration index (derived from SCLSIS) to lead the user to the proper drawing or manual, and it replaces the ship's aperture cards and the second (library) copy of the technical manuals. ATIS, and the data standards established and tested through ATIS development, will be the technical library portion of micro-SNAP and SNAP III. It also forms an important part of NavSea's plans to utilize EDMICS data. This paper describes the goals and technical concepts behind the development of ATIS. Problems encountered, solutions developed, and lessons learned are detailed. Special attention was paid to the application of the Computer Aided Acquisition and Logistic Support (CALS) standards, problems caused by conflicts and ambiguities in those standards, the standards. Original program goals are compared with actual operational experiences. Plans for future expansion are outlined, including applications of this technology in the availability planning and execution process. A comparison is developed among the various methods of optical imaging and their costs and benefits.

关键词： information Retrieval systems

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