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QStruc. An approach for qualitative structural analysis

Computing Systems in engineering: An International Journal 1993年第2-3期4卷 147-147页

作者： Fruchter, R. Law, K.H. Iwasaki, Y. Center for Integrated Facility Engineering Department of Civil Engineering Stanford University Stanford U.S.A. Department of Civil Engineering Stanford University Stanford U.S.A. Knowledge System Laboratory Department of Computer Science Stanford University Stanford U.S.A.

Understanding the behavior of a structure and its components in the preliminary design phase is important since decisions made at this time can have a significant influence on the quality of the final design. It can also potentially reduce the number of alternative solutions and avoid costly design revisions. However, there are few tools available for modeling of a structure and performing qualitative analysis and interpretation of a conceptual design. We describe a framework QStruc for qualitative structural analysis which combines first principles in structural engineering and experimental knowledge of structural behavior. The purpose of QStruc is to generate refined qualitative models and to infer the qualitative response of a given preliminary structure. The results are expressed by qualitative deflected shape, moments and reactions. The proposed qualitative analysis strategy is a “greedy” depth-first algorithm that tries to expand the response of behavior as much as possible from known parameter values. This strategy makes use of a causal ordering mechanism, qualitative calculus and Quantity Lattice (R. Simmons, “Commonsense arithmetic reasoning” in Proceedings of the AAAI86 , pp. 118–124, Morgan Kaufmann, San Mateo, California, 1986) to reason about partial ordering among physical parameters.

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Improving EHR and patient empowerment based on dynamic knowledge assets 43

Improving EHR and patient empowerment based on dynamic knowl...

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43. Jahrestagung der Gesellschaft fur Informatik e.V. ,GI, Informatik Angepasst an Mensch, Organisation und Umwelt, Informatik 2013 - 43rd Annual Meeting of the German Informatics Society (GI), computer science Adapting to Individuals, Organizations and Environment, Informatics 2013

作者： Nasiri, Sara Dornhöfer, Mareike Fathi, Madjid Institute of Knowledge Based Systems & Knowledge Management Department of Electrical Engineering & Computer Science University of Siegen Hölderlinstr. 3 Siegen57076 Germany

ISBN: (纸本)9783885796145

Patients like to keep track of their health related issues and Personal Health Records can be useful for managing their health related information. On the other hand, Electronic Health Records also offer medical professionals an insight into the medical profile of the patient, based on examinations, results or treatments. This work proposes the enrichment of these records with data from Personal Health Records as well as data from a patient care social network. For supporting this conceptual approach and sustaining long-term healthcare, Dynamic knowledge Asset Management is considered. Tracking data and process changes is made possible. © 2013 Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI).

关键词： knowledge management

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VID Join： Mapping Trajectories to Points of Interest to Support Location-Based Services

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Journal of computer science & Technology 2015年第4期30卷 725-744页

作者：商烁谢珂心郑凯刘家俊文继荣 Department of Computer Science China University of Petroleum Beijing 102249 China School of Information Technology and Electrical Engineering The University of Queensland Brisbane QLD 4072 Australia School of Computer Science and Technology Soochow University Suzhou 215006 China Commonwealth Scientific and Industrial Research Organisation Kenmore QLD 4069 Australia Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing 100080 China

Variable influence duration （VID） join is a novel spatio-temporal join operation between a set T of trajectories and a set P of spatial points. Here, trajectories are traveling histories of moving objects （e.g., travelers）, and spatial points are points of interest （POIs, e.g., restaurants）. VID join returns all pairs of （τs, p） if τs is spatially close to p for a long period of time, where τs is a segment of trajectory τ ∈ T and p ∈ P. Each returned （τs, p） implies that the moving object associated with τs stayed at p （e.g., having dinner at a restaurant）. Such information is useful in many aspects, such as targeted advertising, social security, and social activity analysis. The concepts of influence and influence duration are introduced to measure the spatial closeness between τ and p, and the time spanned, respectively. Compared to the conventional spatio-temporal join, the VID join is more challenging since the join condition varies for different POIs, and the additional temporal requirement cannot be indexed effectively. To process the VID join e？ciently, three algorithms are developed and several optimization techniques are applied, including spatial duplication reuse and time duration based pruning. The performance of the developed algorithms is verified by extensive experiments on real spatial data.

关键词： trajectory spatial database spatial join spatio-temporal join

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Case representation and similarity assessment in a recommender system to support dementia caregivers in geriatric and palliative care

Case representation and similarity assessment in a recommend...

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2017 ICCBR Workshops on Computational Analogy and Case-Based Reasoning, CAW 2017, Case-Based Reasoning and Deep Learning, CBRDL 2017 and Process-Oriented Case-Based Reasoning, POCBR 2017, Doctoral Consortium, and Competitions, ICCBR-WS 2017

作者： Nasiri, Sara Fathi, Madjid Department of Electrical Engineering and Computer Science University of Siegen Institute of Knowledge Based Systems and Knowledge Management Hölderlinstr. 3 Siegen57076 Germany

In this paper, a case-based reasoner uses International Classification of Functioning, Disability, and Health framework of WHO (ICF codes) and medical expressions to create keyword association profiles. Dementia Case-based Learning Assistant System (DePicT Dementia CLASS) finds significant references and learning materials by utilizing the profile of word association strengths according to the problem description. The purpose of this research is to develop a CBR system for recommending the related references by using the information retrieved from dementia books based on the ICF framework of WHO. Case-based learning assistant system helps users to find their answers in dealing with their problems. It also used their feedback to update cases and for improvement of references. This research proposes a combination of references with the highest value keyword association strengths and collaborative recommendation based on the ranked references by the user's feedback. Copyright © 2017 for this paper by its authors.

关键词： Case based reasoning

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A collaborative CBR recommender system to support patients, its relatives and caregivers in chronic and palliative care

A collaborative CBR recommender system to support patients, ...

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作者： Nasiri, Sara Department of Electrical Engineering and Computer Science University of Siegen Institute of Knowledge Based Systems and Knowledge Management Hölderlinstr. 3 Siegen57076 Germany

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A novel cascade heat integration configuration for electricity/freshwater/hydrogen outputs using SOFC-GT, multi-effect desalination, and PEM electrolysis using machine learning optimization

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Case Studies in Thermal engineering 2025年 72卷

作者： Zhaoyang Zuo Junhua Wang Sarminah Samad Nashwan Adnan Othman Ahmad Almadhor Raymond Ghandour Ibrahim A. Alsayer Dilsora Abduvalieva Salem Alkhalaf Samah G. Babiker School of mechanical engineering Xijing University Xi’an Shaanxi 710123 China School of Computer Science South China Business College Guangdong University of Foreign Studies Gangzhou 510545 Guangdong China Department of Management College of Business Administration Princess Nourah bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Computer Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia College of Engineering and Technology American University of the Middle East Egaila 54200 Kuwait Department of Chemical and Materials Engineering Engineering College Northern Border University Arar 91431 Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent 100070 Uzbekistan Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan

The current study presents an innovative integrated multi-generation system tailored for residential communities based on a novel cascade heat integration configuration. The proposed system is designed for scalability, making it adaptable for various residential communities, from small housing complexes to larger urban developments. Its modular architecture allows flexible integration with existing infrastructure, enabling widespread deployment in diverse geographic and economic conditions. Utilizing a real-time machine learning framework, the system dynamically optimizes energy distribution and operational efficiency, making it feasible for large-scale implementation while maintaining economic viability and environmental benefits. Hence, a real-time machine learning framework is implemented to optimize key operational parameters dynamically, ensuring efficient fuel utilization, energy distribution, and load balancing across the system. The ML model continuously processes sensor data to adjust SOFC current density, GT pressure ratio, and ORC steam pressure, maximizing exergy efficiency while minimizing operational costs and CO 2 emissions. Additionally, it enhances system reliability through predictive maintenance and demand-based power allocation, enabling a more adaptive and cost-effective multi-generation process. Noteworthy outcomes highlight an exergy efficiency improvement from 48 % to 60 % and a power output increase from 6.1 MW to 11.6 MW. Additionally, the levelized cost of electricity is notably reduced from 8 to 3 cents/kWh. The system also provides extra benefits by generating freshwater and hydrogen, addressing various societal challenges.

关键词： Cascade heat integration Thermal energy system Optimization Hydrogen Freshwater Machine learning

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The computational complexity of angry birds 29

The computational complexity of angry birds

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29th International Joint Conference on Artificial Intelligence, IJCAI 2020

作者： Stephenson, Matthew Renz, Jochen Ge, Xiaoyu Department of Data Science and Knowledge Engineering Maastricht University Netherlands Research School of Computer Science Australian National University Canberra Australia

ISBN: (纸本)9780999241165

In this paper we present several proofs for the computational complexity of the physics-based video game Angry Birds. We are able to demonstrate that solving levels for different versions of Angry Birds is either NP-hard, PSPACE-hard, PSPACE-complete or EXPTIME-hard, depending on the maximum number of birds available and whether the game engine is deterministic or stochastic. We believe that this is the first time that a single-player video game has been proven EXPTIME-hard. © 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.

关键词： Birds

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Developing a prototype of case-based system utilizing fuzzy sets to detect faults of injection molding process 9

Developing a prototype of case-based system utilizing fuzzy ...

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2017 Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional knowledge Management), WM 2017 - 9th Conference on Professional knowledge Management, WM 2017

作者： Nasiri, Sara Allayarov, Ildar Fathi, Madjid Department of Electrical Engineering and Computer Science University of Siegen Institute of Knowledge Based Systems and Knowledge Management Hölderlinstr. 3 Siegen57076 Germany

The purpose of this research is to develop a case-based system for detecting faults of injection molding machine by utilizing the information retrieved from troubleshooting guidelines. It is also reduced the system downtime. Case-based fault detection system guides users to detect their failure through the retrieval procedure. It utilizes fuzzy sets based on the relationship between parameters of the process, part, and mold to define the weight of features which is important for occurrence the faults. In this paper, a case-based system is also utilized the occurrence weights of features to capture the problems in injection molding processes and to recommend the way of fixing these faults. © 2017, CEUR-WS. All rights reserved.

关键词： Fuzzy logic

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Visual information search based on knowledge schema modeling 14

Visual information search based on knowledge schema modeling

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5th Information Interaction in Context Symposium, IIiX 2014

作者： Lee, Seulki Shah, Achal Yoon, Wan C. Department of Knowledge Service Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Department of Computer Science and Engineering Indian Institute of Technology Guwahati Guwahati India

ISBN: (纸本)9781450329767

This paper suggests a new interactive system based on visualization of the user's knowledge schema to aid the process of information search and knowledge discovery. The system, inspired from the human memory model, constructs an external representation of the user's conceptual knowledge structure from the user's existing information such as the folder structure and associated tags. In contrast to existing systems based on user models, the system allows users to specify their information needs by selecting a part of their knowledge schema, understand their search results in the context of their existing knowledge organization, and store new information based on their knowledge schema. Through a preliminary evaluation, we show that the visualization of the extracted knowledge structure and the presented relevance of new information was perceived to be useful, even with a basic model of text processing. The participants were able to search for relevant information effectively and expand their information collection with consistency. © 2014 ACM.

关键词： Visualization

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Abnormal behaviour detection at traffic junctions using Lucas Kanade and Harris Corner detector 4

Abnormal behaviour detection at traffic junctions using Luca...

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4th IEEE International Conference on Recent Advances in Information Technology, RAIT 2018

作者： Jain, Charvi Gautam, Diwakar Department of Computer Science and Engineering Indian Institute of Information Technology UnaHimachal Pradesh India Department of Computer Science and Engineering Sharda University Knowledge Park III Greater NoidaUttar Pradesh India

ISBN: (纸本)9781538630396

Image processing has played a vital role in every aspect of human life. Video surveillance has reached a major out through by the application of advanced image processing and frame modeling techniques. Video surveillance is the most recent issue regarding community security and welfare. Detection of behavior of moving objects in video streams is a vital aspect. In this article, automatic real-time object's behavior detection is implemented using Lucas Kanade and Harris Corner based approach. The velocity of moving element is reported and their association with anomalous activity is also an inseparable part of this art. This work can be used to develop a surveillance system of static camera and robotic automation visual systems. Whenever a new object comes in the camera frame, the system uses the concepts of frame based processing using Lucas Kanade approach incorporated with Harris Corner Detector. In this work, an investigation is carried out to define the optimum value of velocity parameters for declaring a behavior as anomalous. Moreover, it is analyzed that proposed algorithm for video behaviour detection at traffic points perform well but its accuracy can be further enhanced using three dimensional imaging and mapping of moving elements in a hyperspace. © 2018 IEEE.

关键词： Object detection

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