• Knowledge Management Research
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• v.15 no.3
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• pp.1-12
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• 2014

It is tried to draw the failure traits of leadership by extracting leadership parts from previous failure studies and including some parts which mention failure leadership among leadership-related books. All of 5 patterns are drawn through total 13 types of study data. From 'insensitive to change' and authoritarianism which is mentioned 8 times in such 13 studies, to 'interpersonal problem', which is mentioned five times, traits which are mentioned at least five times are selected. There are drawn 5 traits including ${\Delta}$ authoritarianism ${\Delta}insensitive$ to change ${\Delta}lack$ of executive ability ${\Delta}populism$ and ${\Delta}interpersonal$ problem. As being examined in these 5 types of failure traits, the failure of leadership is ultimately happened because of communication heading for the inside without any communication(exchange) to the outside. That is, it is understood that authoritarian leaders don't perceive change correctly but make a wrong communication (populism) or break down communication. Additionally, the executive ability is to perform actually one's idea and to be achieved through incessant communication with members. Compared with other various studies to draw failure factors, these leadership traits have something in common. In the previous researches conducted the study of general failure factors, ${\Delta}adherence$ to preexisting business and resistance to change ${\Delta}unfeasible$ expansion strategy ${\Delta}blind$ faith in successful technology and innovation and ${\Delta}insufficiency$ to grasp competitor(consumer) are pointed out as the failure factors. It is deemed that these are happened because organizational management is headed for the inside without any communication (exchange) to the external environments. Matters unfolded through this paper until now are an attempt to apply the failure knowledge to a leadership part which is an individual field in business administration. It is considered that this study will be complemented through additional case study or quantitative analysis in the future.

• Journal of Contemporary Eastern Asia
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• v.13 no.1
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• pp.5-18
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• 2014

This exploratory study investigates the use of a computational knowledge engine (WolframAlpha) and social networking sites (Gmail, Yahoo and Facebook) by 200 students at De La Salle-College of Saint Benilde, their "friends" and their "friends of friends" during the 2009 through 2013 school years, and how this appears to have added value in knowledge generation. The primary aim is to identify what enhances productiveness in knowledge generation in Philippine Tertiary Education. The phenomenological approach is used, therefore there are no specific research questions or hypotheses proposed in this paper. Considering that knowledge generation is a complex phenomenon, a stochastic modelling approach is also used for the investigation that was developed specifically to study un-deterministic complex systems. A list of salient features for knowledge generation is presented as a result. In addition to these features, various problem types are identified from literature. These are then integrated to provide a proposed framework of inclusive (friendly) and innovative social networks, for knowledge generation in Philippine tertiary education. Such a framework is necessarily multidisciplinary and useful for problem-solving in a globalized and pluralist reality. The implementation of this framework is illustrated in the three parts of the study: Part 1: Online lessons, discussions, and examinations in General Psychology, Introduction to Sociology, and Life and Works of Jose Rizal, for the author's students in De La Salle-College of Saint Benilde; Part 2: Facebook Report analytics of students and teachers, their friends and their friends of friends via WolframAlpha; and Part 3: Social Network Analysis of the people and groups influencing the courses' scope-and-sequence in the new General Education Curriculum for Tertiary Schools and Institutions in the Philippines.

• Architectural research
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• v.12 no.2
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• Proceedings of the Korea Concrete Institute Conference
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• 1991.10a
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• pp.152-157
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• 1991

Expert systems represent the application of artificial intelligence research that is at least 10-15 years old. It may well take another 5-10 years before the present technology is exploited by industry. The objective of this paper is to show the applicability of Combined Hypertext-Expert System Techniques to the professionals working in the construction industry. Expert systems alone don't give the user any control over the system. Hypertext systems that focus only on displaying messages have the opposite problem. While they allow the user to control the system., the only control the system designer has is in setting up the hypertext links. Therefore the combination of these two techniques, offered by KnowledgePro, may bring us closer to real user-expert communication. The system developed in this work offers information on ACI Manual concerning various problem areas in concrete practice, consultation about mix design of concrete and guidance to identify types of cracks in concrete. Once the type of crack is identified through the rule-based knowledge, the system provides the user with remedial measures through the control of the user.

• Journal of Korean Public Health Nursing
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• v.14 no.1
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• pp.80-99
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• 2000

This study was designed to find the characteristics and patterns in subjectivity of an attitude on the degree of importance of professional nursing for advancing nursing image. Q-methodology was used as a research design and the research procedures were as follows. Q-sampling has been derived from the literature review and interview. Its credibility and validity were also tested by nursing professors. Total of 34 statements were selected. P-sampling has been drawn and 32 samples were selected. Based on 9 point scale. the selected respondents rated their operant definition on the degree of importance of professional nursing for advancing nursing image. The results of above procedures were analyzed by PCQ program. The attitude about the degree of importance of professional nursing for advancing nursing image were analyzed based on the typical array. extreme comments. and the demographic information of study subjects. The results revealed that there were four types of attitude about the degree of importance of professional nursing for advancing nursing image. The four types were named as follows; 1) The first type. agree of problem-solving perspectives. was consisted of 8 subjects. They emphasized that the nurse should solve a patient's problem promptly and precisely for advancing nursing image. 2) The second type. agree of kindness perspectives. was consisted of 5 subjects. They insisted that the nurse should be kind to patient and his family for advancing nursing image. 3) The third type. agree of love and service perspectives. was consisted of 4 subjects. They emphasized nursing spirit based on love and service for advancing nursing image. 4) The fourth type. agree of professional knowledge perspectives. was consisted of 6 subjects. They emphasized that the nurse should construct of professional nursing knowledge for advancing nursing image. As a result. this study discovered three types of the degree of importance of professional nursing for advancing nursing image. By identifying the nature of each of four types. this study can be useful to develop efficient strategies for advancing nursing image.

• Journal of the Korean School Mathematics Society
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• v.15 no.3
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• pp.429-451
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• 2012

This paper examined eight novice elementary teachers' knowledge in terms of the types and sources of students' errors and teaching strategies on plane figures through a questionnaire and teachers' discussion. The teachers tended to predict students' diverse error types, but they attributed the sources of such errors mainly to their characteristics. The analysis of teachers' responses of teaching strategies revealed that they recognized the importance of the teacher's clear explanation and students' own problem-solving, while they were somewhat negative in presenting diverse examples and classifying, drawing, or constructing figures. Building on these results, this paper provides the implications for novice teachers' professional development programs.

• Journal of Elementary Mathematics Education in Korea
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• v.24 no.1
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• pp.1-30
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• 2020

This study was carried out in order to identify the error types of statistical graphs for statistical literacy education. We analyze the meaning of using graphs in statistical problem solving, and identify categories, frequencies, and contexts as the components of statistical graphs. Error types of representing categories and frequencies make statistics consumers see incorrect distributions of data by subjective point of view of statistics producers and visual illusion. Error types of providing contexts hinder the interpretation of statistical information by concealing or twisting the contexts of data. Moreover, the findings show that tasks provide standardized frame already for drawing graphs in order to avoid errors and pay attention to the process of drawing the graph rather than statistical literacy for analyzing data. We suggest some implications about statistical literacy education, ethical problems, and knowledge for teaching to be considered when teaching the statistical graph in elementary mathematics classes.

• International Journal of Reliability and Applications
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• v.10 no.1
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• pp.1-15
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• 2009

Even though the impact of manufacturing quality to reliability is not considered much as well as that of design area, a major cause of an early failure of the product is known as manufacturing problem. This research applies two different types of neural network algorithms, the Back propagation (BP) algorithm and Learning Vector Quantization (LVQ) algorithm, to identify and classify the nonrandom variation pattern on the control chart based on knowledge-based diagnosis of dimensional variation. The performance and efficiency of both algorithms are evaluated to choose the better pattern recognition system for auto body assembly process. To analyze hundred percent of the data obtained by Optical Coordinate Measurement Machine (OCMM), this research considers an application in which individual observations rather than subsample means are used. A case study for analysis of OCMM data in underbody assembly process is presented to demonstrate the proposed knowledge-based pattern recognition system.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.81-89
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• 1992

After much research on qualitative reasoning, the problem of ambiguities still hampers the practicality of this important AI tool. In this paper, the sources of ambiguities are examined in depth with a systems engineering point of view and possible directions to disambiguation are suggested. This includes some modeling strategies and an architecture of temporal inference for building unambiguous qualitative models of practical complexity. It is argued that knowledge of multiple levels in abstraction hierarchy must be reflected in the modeling to resolve ambiguities by introducing the designer's decisions. The inference engine must be able to integrate two different types of temporal knowledge representation to determine the partial ordering of future events. As an independent quantity management system that supports the suggested modeling approach, LIQUIDS(Linear Quantity-Information Deriving System) is described. The inference scheme can be conjoined with ordinary rule-based reasoning systems and hence generalized into many different domains.

• Education of Primary School Mathematics
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• v.19 no.1
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• pp.19-30
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• 2016

This study examined pre-service teachers' pedagogical content knowledge of fraction division in a context where they were asked to write a story problem for a symbolic expression illustrating a whole number divided by a proper fraction. Problem-posing is an important instructional strategy with the potential to create meaningful contexts for learning mathematical concepts, especially when real-world applications are intended. In this study, story problems written by 135 elementary pre-service teachers were analyzed with respect to mathematical correctness. error types, and division models. Patterns and tendencies in elementary pre-service teachers' knowledge of fraction division were identified. Implicaitons for teaching and teacher education are discussed.