• Asia pacific journal of information systems
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• v.4 no.1
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• pp.3-31
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• 1994

Potential employers considering locations for production or service facilities typically equire detailed advance knowledge of the wages they will be expected to offer for workers in various occupational categories. The State of Missouri s Department of Labor and Industrial Relations is often contacted by organizations requesting such information. The current wage rate survey approach, initiated in 1988, allows the Department to predict an appropriate wage rate for a given occupation in certain counties, adjusted for changes in the Consumer Price Index (CPI). However, both Department employees and firms have indicated that improved prediction responsiveness and accuracy are desirable. A major deficiency of the current approach is its inability to predict wages for unsurveyed counties. This paper describes a knowledge-based system (KBS), currently in the prototype testing stage, that is expected to supplement the wage rate survey in the near future.

• Journal of the Korean Society of Safety
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• v.7 no.2
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• pp.14-23
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• 1992

A methodology for developing an object description system based on functional-structure of chemical plant is proposed. A knowledge base for chemical plant fault diagnosis is also organized in a generic fashion using the heuristic knowledge of human operators. A plant can be seen as a hierarchical set of subsystems. Each subsystem is called a SCOPE. The state of the plant and the behavior of each subsystem is managed by the SCOPES. A computer-based system based on thls methodology and knowledge base has been developed and applied to the subprocess of ethylene plant to evaluate the effectiveness of the methodology.

• The Journal of Korean Medical History
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• v.25 no.2
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• pp.105-112
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• 2012

The purpose of this paper is to suggest diagnosis support system for diseases of mind so that users can make effective decisions without professional knowledge by developing efficient knowledge system and utilizing ontology with which questions and logic inference are possible to diagnose diseases of mind. Furthermore, this diagnosis support system could be applied to supplement previous diagnosis method which depends on experiences by activating the diagnose of mind diseases thru ontology and determining state of mind effectively without technical knowledge. As a result of this experiment, diagnosis support system for diseases of mind was found to be accordance with the result of consulting instructions and show additional relevance thru utility extension.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1996-2011
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• 2021

To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.4
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• pp.209-215
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• 2022

This paper proposes a novel approach for training an unsupervised depth estimation algorithm. The objective of unsupervised depth estimation is to estimate pixel-wise distances from camera without external supervision. While most previous works focus on model architectures, loss functions, and masking methods for considering dynamic objects, this paper focuses on the training framework to effectively use depth cue. The main loss function of unsupervised depth estimation algorithms is known as the photometric error. In this paper, we claim that direct depth cue is more effective than the photometric error. To obtain the direct depth cue, we adopt the technique of knowledge distillation which is a teacher-student learning framework. We train a teacher network based on a previous unsupervised method, and its depth predictions are utilized as pseudo labels. The pseudo labels are employed to train a student network. In experiments, our proposed algorithm shows a comparable performance with the state-of-the-art algorithm, and we demonstrate that our teacher-student framework is effective in the problem of unsupervised depth estimation.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.1-16
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• 2021

This paper attempts to explore the need and importance of values integration in educational activities to mitigate learning crisis and promote sustainable learning achievement. The traditional approach, commercial motive, focus on instrumental knowledge coupled with many other contemporary issues have collectively smothered the fundamental humanistic principles of education. To avert the situation and execute the core objectives, we need to shift our focus: a shift from instrumental knowledge to humanistic-transformational knowledge; a shift from the traditional approach of supplying and storing information to learning to deal with the real-world problems; a shift from head to heart. Values integration is an attempt to initiate and promote this shift. Rather than teaching values and moral principles under a particular subject heading, values need to be a part of everyday in-school and out-school activities. To concretize this concept, a model is proposed in this study as a holistic model of values integration via whole school ambiances and community support.

• Journal of Korea Technology Innovation Society
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• v.11 no.1
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• pp.72-90
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• 2008

What has been the contribution of industrial innovation to economic growth? Typically, the issue has been approached with growth-accounting methods augmented to include a "stock of knowledge". An independent estimate of the rate of return to R&D is found in order to impute patents granted to the accumulation of knowledge. Griliches(1973) then uses a regression approach to assess the effect of an R&D variable on the computed TFP growth rate. The regression coefficient on the R&D variable would provide an estimate of the social rate of return to R&D. The related studies tend to show high social rates of return to R&D, typically in a range of 20 to 40 % per year. We need to provide multiple equation dynamic system for productivity and innovation in Korean economy in state space form. A wide range of time series models, including the classical linear regression model, can be written and estimated as special cases of a state space specification. State space models have been applied in the econometrics literature to model unobserved variables like productivity. Estimation produces the following results. Considering the goodness of fit, we can see that the evidence is strongly in favor of the range $0.120{\sim}0.135$ for the elasticity of TFP to R&D stock in the period between 1970's and the early 2000's.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.91-97
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• 2022

Analyzing the psychological and pedagogical literature, we showed the interest of researchers in the problem posed. The concept of competence is considered, which is interpreted as giving the key to solving a wide range of educational and life tasks. Research competence implies the ability to cooperate, enter into contacts, readiness for changes, for self-determination and is an integral quality of the individual, expressed in the readiness and ability to independently search for solutions to new problems and creative transformation of reality based on a set of personal and meaningful knowledge, skills, methods of activity and value attitudes.The article offers conditions that certify the improvement of forms and methods of training students in the formation of research competence of future specialists. The use of innovative technologies contributes to improving the level of training of future specialists: students are better prepared for classes, take an active part in the assimilation of program material in laboratory classes. It is noted that this creates a subject-subject relationship between the student and the teacher, and changes the attitude of students to classes. In the process of such organization of educational activities, students are convinced of the need for knowledge and its effectiveness, learn to compare, generalize, classify, establish cause-and-effect relationships, express opinions, defend their point of view, they ensure success in their studies, and develop research competence. It is proved that in order to apply the latest technologies, the teacher himself must know them well, that is, constantly improve himself, master new methods, techniques, ideas, which will help him create new pedagogical technologies and implement them in the educational process.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.19-38
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• 2024

This study investigated the information needs of prisoners and the adequacy of information resources in prison libraries in Anambra State, Nigeria. Two research questions guided the study. The population of the study was 1781 inmates in prisons in Anambra State. The sample size of 327 was selected using Taro Yamane's formula and proportionate stratified sampling techniques. Two instruments titled the Information Needs of Prisoners Questionnaire and the Adequacy of Information Resources Checklist were used for data collection. The instruments were validated by three experienced lecturers. One in the department of Educational Foundations (Measurement and Evaluation Unit) and two in the Department of Library and Information Science, all at Nnamdi Azikiwe University, Awka. Cronbach's alpha was used to determine the internal consistency of the questionnaire items, with a value of 0.79. The researchers administered the questionnaires with the help of four research assistants (correctional officers). Out of 327 questionnaires administered, 314 were successfully retrieved. The percentage return rate of distributed questionnaires is 96%. Data collected were analyzed using descriptive statistics of the mean; also, the International Federation of Library Association (IFLA) guideline for library services to prisoners was also used as a yardstick for the measurement of adequacy. The results from the data analysis indicated that prisoners have diverse information needs that, when met, would help them during their stay in prison as well as when they are eventually released; these needs include legal information, information on prison rules, financial information, and others. While there were few information resources found to be adequate, the inadequacy of most of the listed information resources is recorded in prison libraries in Anambra State, Nigeria. It is therefore recommended that information resources be made adequately available for prisoners in relation to their information needs.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.412-420
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• 2007

In this study, we investigated the influences of the epistemological beliefs on the conceptual change processes in respects of cognitive conflict, situational interest, attention and state learning strategies. After administering epistemological belief questionnaire as a pretest, 218 seventh graders possessing misconceptions about density were selected from the results of a preconception test. The questionnaires of responses to a discrepant event and situational interest were administered. After learning with a CAI program, attention test, state learning strategy test and conception test were also administered as post-tests. Analysis of the results revealed that fixed ability, quick learning and certain knowledge, which are epistemological factors, were highly related, but only certain knowledge exerted a direct effect on conceptual understanding negatively. It also had positive effects on attention directly as well as via situational interest, and thus increased conceptual understanding, even if the effects were relatively smaller than the direct effect. However, epistemological beliefs had little influence on conceptual understanding through cognitive conflict and/or state learning strategies.