A concept model of ‘two-ties-aware’ and design of a discovery engine based on user experienced Bigdata

2014 ◽  
Author(s):  
Junbo Wang ◽  
Yilang Wu ◽  
Zixue Cheng
Keyword(s):  
Concept Model

A Study on the u-City’s Concept Model with an u-IT Evolution

2007 ◽  
Vol 53 (null) ◽  
pp. 259-276
Author(s):  
박웅희 ◽  
조병선
Keyword(s):  
Concept Model

Cognitive Models and Narrative Construction

2020 ◽  
pp. 90-103
Author(s):  
Mikhail Tarasov
Keyword(s):  
Text Analysis ◽  
Cognitive Models ◽  
Narrative Construction ◽  
Cognitive Structures ◽  
The Novel ◽  
Adequate Description ◽  
Cognitive Approach ◽  
Concept Model ◽  
Analysis And Synthesis ◽  
Different Levels

The article deals with the narrative text construction. The study thoroughly analyzes cognitive models that can become the basis of this process. Firstly, the author is studying the theory of rhetoricalcommonplaces. The article shows that this theory is suitable for constructing a rhetorical text, but not a narrative one. The second model discussed is the concept model. The article argues that this model is most convenient for text analysis, but not for its formation. Marvin Minsky's frame theory is analyzed in detail. It is stated that the theory of frames and individual narrative concepts, in particular those formulated by R. Barth, have much in common. It is concluded that the theory of frames can be perceived as the ontological basis of the narrative scientific description. In addition, the article briefly discusses the cognitive model by R. Quillian and R. Langacker. Their essence is to highlight the main and secondary content in the text. The possibility of using these models in the text analysis and its synthesis is proved by their conceptual similarity with G.Y. Solganik’s analysis of the novel by L. Tolstoy. Special attention is paid to the theory of R. Abelson. It is argued that the proposed hierarchy of cognitive structures has a generalizing character and is adequate to the text. The article gives an example based on a local narrative figure analysis undertaken by V.V. Vinogradov. The paper indicates the possibility to describe this figure within Abelson's theory. As a result of different cognitive models and narrative conceptscomparison, the article formulates the sequence of stages in the analysis and synthesis of text units found at different levels. The first stage of this sequence is the narrative figures analysis. The second one is the analysis of episodes, which are narrative figures associations. The third one is the analysis of the text plot structures. It is proposed to consider text units as realizations of cognitive structures. It is argued that the cognitive approach to the narrative provides its holistic and detailed adequate description.

scholarly journals Verification and Strategy Synthesis for Coalition Announcement Logic

2021 ◽  
Author(s):  
Natasha Alechina ◽  
Hans van Ditmarsch ◽  
Rustam Galimullin ◽  
Tuo Wang
Keyword(s):  
Model Checking ◽  
Proof Of Concept ◽  
Model Checker ◽  
Complete Model ◽  
Concept Model ◽  
The Family ◽  
Winning Strategies ◽  
Epistemic Goals

AbstractCoalition announcement logic (CAL) is one of the family of the logics of quantified announcements. It allows us to reason about what a coalition of agents can achieve by making announcements in the setting where the anti-coalition may have an announcement of their own to preclude the former from reaching its epistemic goals. In this paper, we describe a PSPACE-complete model checking algorithm for CAL that produces winning strategies for coalitions. The algorithm is implemented in a proof-of-concept model checker.

scholarly journals Health Literacy Regarding Infectious Disease Predicts COVID-19 Preventive Behaviors: A Pathway Analysis

2021 ◽  
pp. 101053952110139
Author(s):  
Hui Wang ◽  
Pak Leng Cheong ◽  
JianWei Wu ◽  
Iat Kio Van
Keyword(s):  
Infectious Disease ◽  
Health Literacy ◽  
Goodness Of Fit ◽  
Influencing Factor ◽  
Cross Sectional Study ◽  
Situational Factors ◽  
Preventive Behaviors ◽  
Cross Sectional ◽  
Concept Model ◽  
Fit Index

Health literacy has been identified as one vital determinant of public health and healthy behaviors, but very few studies regarding infectious disease prevention have been found. This descriptive cross-sectional study aimed to validate the pathway of infectious disease-specific health literacy (IDSHL), COVID-19 (coronavirus disease 2019) preventive behaviors, and their determinants. A sample of 1459 casino workers in Macao was eligible for analysis. The concept model was verified with a comparative fit index of 0.937 and goodness-of-fit index of 0.971. Government responses was a significant determinant of situational factors (helpfulness of health information, resource accessibility, and organizational training adequacy), while situational factors showed a direct effect on COVID-19 preventive behaviors. Education and organization training adequacy was the strongest influencing factor of IDSHL, which should be a key target of intervention programs for COVID-19.

Internet of things-based cloud computing platform for analyzing the physical health condition

2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Disease Diagnosis ◽  
Health Condition ◽  
Computing Platform ◽  
Concept Model ◽  
Patient Health ◽  
Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

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