• Journal of Korea Multimedia Society
• /
• v.19 no.8
• /
• pp.1516-1529
• /
• 2016

While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

• Journal of Soil and Groundwater Environment
• /
• v.25 no.2_spc
• /
• pp.28-54
• /
• 2020

Even though a systematic sampling approach is very crucial in both the general and detailed investigation phases to produce the best conceptual site model for contaminated sites, the concept is not yet established in South Korea. The U.S. Environmental Protection Agency (EPA) issued the 'Strategic Sampling Approaches Technical guide' in 2018 to help environmental professionals choose which sampling approaches may be needed and most effective for given site conditions. The EPA guide broadly defines strategic sampling as the application of focused data collection across targeted areas of the conceptual site model (CSM) to provide the appropriate amount and type of information needed for decision-making. These strategic sampling approaches can prevent the essential data from missing, minimize the uncertainty of projects and secure the data which are necessary for the important site-decisions. Furthermore, these provide collaborative data sets through the life cycle phases of projects, which can generate more positive proofs on the site-decisions. The strategic sampling approaches can be divided by site conditions. This technical guide categorized it into eight conditions; High-resolution site characterization in unconsolidated environments, High-resolution site characterization in fractured sedimentary rock environments, Incremental sampling, Contaminant source definition, Passive groundwater sampling, Passive sampling for surface water and sediment, Groundwater to surface water interaction, and Vapor intrusion. This commentary paper introduces specific sampling methods based on site conditions when the strategic sampling approaches are applied.

• Journal of Digital Convergence
• /
• v.13 no.10
• /
• pp.509-516
• /
• 2015

Intangibility, measurement difficulty and irreversibility, which are the characteristics of service, have such problems as obscurity and uncertainty in quality evaluation. Technical entrepreneurship education, a sort of public service, also contains such characteristics of service. To objectively evaluate the service quality of technical entrepreneurship education, this paper drew up factors as hierarchical structure, centered on FAHP technique, and conducted pre-processing, inputted those factors into triangular fuzzy number fuzzy judgement matrix, and calculated their weights. In this manner, this paper proposed a TESE system, through which an analysis can be conducted by drawing relative importance and priorities of the factors. The proposed system can efficiently evaluate the qualitative technical start-up education service quality factors quantitatively in the diversely changing technical start-up environment in view of the highest result quality (41%), which means performance in the relative importance of major factors. Namely, this paper confirmed that clear decision making can be made through an experiment.

• Archives of design research
• /
• v.12 no.4
• /
• pp.201-209
• /
• 1999

Feb. 11. 1997, Korean Government announced FM Radio Broadcasting and TV Terrestrial TV Broadcasting will be changed to digital format in year 2001, and all Korean Broadcasting except AM Radio and Microwave will be changed to digital format before 2010. In spite of IMF economic crisis, the Digitizing is the one of the hot issue in TV Broadcasting area. The narrow view of the Digitizing the Broadcasting is a technical development from the analogue to digital, but the extended view of it means not only the technical development but the revolution in the concept of TV and service area, relationship between sender and receiver, structure of TV Industry. Thus Digitizing the Broadcasting shifts paradigm and eventually it cause a big change in the advertising creative. The digital TV could be a very encouraging technical development for the consumers convenience because of the multiple choice in the channels and interactive services which leads us to the multimedia service through the TV . On the other hand, multimedia and multi-channel, interactivity implicate a big uncertainty and risk, This research paper is about the technical aspects and social aspects of digital TV and its influence of the marketing and TV advertising creative.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.188-192
• /
• 2007

Today, the most pivotal issue in the national research and development, and national scientific and technical policy is to overcome uncertainties in the environment of technology development. The social and economic environment around us is at restricted uncertainty (complex system) where order and disorder coexist. Furthermore, the environment of technology development is more complicated. In order to bring about creativity in practices of technology development, we need a paradigm shift towards a new framework for the construction of the national scientific and technical information infrastructure, which entails a shift to creativity, self-organization and dynamic capability. The paradigm shift will lead the present scientific and technical information infrastructure which centers on information sharing, to move towards one that enables information coherence through self-organization. Thus, it is expected that the new Web 3.0 will provide a client-flexible analysis information system that will make information coherence and feedback possible. Through this system, the policy for the construction of a new scientific and technical infrastructure will evolve, which will bring about co-evolution of individual's knowledge through sharing of self-organizaed knowhow.

• 대한예방의학회:학술대회논문집
• /
• 1994.02a
• /
• pp.440-449
• /
• 1994

Current risk assessment practices largely reflect the need for a consistent set of relatively rapid, first-cut procedures to assess 'plausible upper limits' of various risks. These practices have important roles to play in 1) screening candidate hazards for initial attention and 2) directing attention to cases where moderate-cost measures to control exposures are likely to be warranted, in the absence of further extensive (and expensive) data gathering and analysis. A problem with the current practices, however, is that they have led assessors to do a generally poor job of analyzing and expressing uncertainties, fostering 'One-Number Disease' (in which everything from one's social policy position on risk acceptance to one's technical judgment on the likelihood of different cancer dose-response relationships is rolled into a single quantity). At least for analyses that involve relatively important decisions for society (both relatively large potential health risks and relatively large potential economic costs or other disruptions), we can and should at least go one further step - and that is to assess and convey both a central tendency estimate of exposure and risk as well as our more conventional 'conservative' upper-confidence-limit values. To accomplish this, more sophisticated efforts are needed to appropriately represent the likely effects of various sources of uncertainty along the casual chain from the release of toxicants to the production of adverse effects. When the effects of individual sources of uncertainty are assessed (and any important interactions included), Monte Carlo simulation procedures can be used to produce an overall analysis of uncertainties and to highlight areas where uncertainties might be appreciably reduced by further study. Beyond the information yielded by such analyses for decision-making in a few important cases, the value of doing several exemplary risk assessments in. this way is that a set of benchmarks can be defined that will help calibrate the assumptions used in the larger number of risk assessments that must be done by 'default' procedures.

• Journal of Digital Contents Society
• /
• v.18 no.6
• /
• pp.1213-1216
• /
• 2017

Recently due to the increasing uncertainty of the disaster environment caused by climate change the effects of disasters have become larger due to the confluence and solidification diversification into disaster type and secondary damage. In this paper, we apply ICBMS through intelligent information technology and big data analysis to all processes of disaster safety management to minimize human, social, economic and environment damage from accidents or disasters, and prevention by control technology preparation by education and training expansion to remember by body, response by advanced technology of disaster response unmanned technology restoration by creation of local community environment ecosystem, investigation and analysis by intelligent information technology learn about disaster safety management 4.0. In addition, technical limitation and problems in the $4^{th}$ industrial revolution and the application of big data were analyzed and suggested alternatives and strategies to overcome.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.3
• /
• pp.179-190
• /
• 2020

As the business environment is rapidly changing with globalization and complexity of information flows, the uncertainty is also very increased for project environment. Although many studies have been conducted to find out the critical factors for project success, there still exist different views to define project success. Furthermore, implementing success formula for one project does not necessarily guarantee a success for another project since there are other elements that impede the success of project. In this regards, it is imperative to examine what are the barriers to project success. This study aims to examine the barriers that impede the success of project. Past literature was thoroughly reviewed to collect and develop a preliminary list of elements that affected project performance negatively. Experts were interviewed to refine the list and the final list of the measurement items were developed. A survey questionnaire was developed with the final list of measurement items, and a survey was conducted on the practitioners with project experience. After the survey, an exploratory factor analysis was conducted on the final list to extract the component dimensions which in turn formed the group of project barriers. The exploratory factor analysis provided ten factors, which are difficulty of process management, failure of project feasibility analysis, cost overruns and lack of cost benefits, unclarity project plan, strategic consistency error, stakeholder conflict, inaccuracy of requirement definition, disturbance of communication, technical environment change, negative attitude of top management.

• Asia pacific journal of information systems
• /
• v.13 no.4
• /
• pp.257-277
• /
• 2003

Recently, organizations intend to adopt new information technology for acquiring relative advantages in competitive business environment. Especially, many companies have paid attention to web-based electronic commerce. But research in this area has largely been performed to the operational and technical aspects of web site. Also the World Wide Web(web) has become one of the most widely used information technologies, but research indicates that there are many firm that are still considering whether to establish a web presence. This study examines factors influencing adoption of corporate web site over time. To examine why companies adopt web site, this study regards web site as an innovation and finds out these reason through Innovation Diffusion Theory. Independent variables of this research are composed of innovation characteristics, organizational characteristics and environmental characteristics. By the result of logistic regression analysis, we find that there are significant differences between early adopters and late adopters of web site for three adoption factors : top management support, organization size, environmental uncertainty. These findings confirm the theoretical frame for adoption of corporate web site. Also this study will provide good guidelines to the companies and the vendors in shaping the strategies of IT adoption and IT diffusion respectively.

• Nuclear Engineering and Technology
• /
• v.55 no.4
• /
• pp.1528-1539
• /
• 2023

Since the leakage of sodium in an SFR (sodium-cooled fast reactor) causes an explosion upon reaction with air and water, sodium leakages represent an important safety issue. In this study, a novel technique for improving the reliability of sodium leakage detection applying DDVR (dynamic data validation and reconciliation) is proposed and verified to resolve this technical issue. DDVR is an approach that aims to improve the accuracy of a target system in a dynamic state by minimizing random errors, such as from the uncertainty of instruments and the surrounding environment, and by eliminating gross errors, such as instrument failure, miscalibration, or aging, using the spatial redundancy of measurements in a physical model and the reliability information of the instruments. DDVR also makes it possible to estimate the state of unmeasured points. To validate this approach for supporting sodium leakage detection, this study applies experimental data from a sodium leakage detection experiment performed by the Korea Atomic Energy Research Institute. The validation results show that the reliability of sodium leakage detection is improved by cooperation between DDVR and hardware measurements. Based on these findings, technology integrating software and hardware approaches is suggested to improve the reliability of sodium leakage detection by presenting the expected true state of the system.