• The Journal of the Convergence on Culture Technology
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• v.3 no.3
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• pp.43-49
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• 2017

The purpose of this study is to study the standardization of the core business process in the chemical manufacturing industry and to establish a production information management system for the purpose of establishing the production information management system that can achieve mid -To be applied. The development methodology for the standardization of the chemical manufacturing information system is applied to the production information management system development methodology (PSDM) that was developed and developed by the Agency for Technology and Information Promotion of Small and Medium Enterprises. The standardization target is the system structure, It is a core business process that becomes a skeleton during construction. In this study, the chemical manufacturing SMEs and related professional IT companies who want to build the production information management system can apply the standardized core business process more effectively to build the system more effectively, and provide ease of installation and reliability to the system, In order to maximize the utilization of processes, follow-up education training and maintenance measures are suggested. Applying the results of this study, it is possible to eliminate the unreasonable elements of the production process, improve the quality of production product, and reduce production cost.

• Journal of Science and Technology Studies
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• v.18 no.2
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• pp.269-306
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• 2018

Through this study, it is aimed to derive the policy direction considering the characteristics of the present Smart Factory, the industrial condition of Pohang area, and the promotion field. Secondly, the questionnaire data of the regional enterprises will prepare for the improvement of the industrial structure and the implications for efficiency, and preparation for regional preparation and industrial changes in preparation for the next generation of production revolution. The construction of Smart Factory in Pohang can be divided into two major directions. First, it is analyzed that smart factory pilot projects are highly needed, focusing on competitive medical precision manufacturing field among the SMEs in the region, primary metal and nonmetal manufacturing industries, and other machinery fields. In addition, local SMEs are willing to introduce smart factories for reasons of quality improvement and cost reduction, and it is confirmed that they will actively promote employee training and expertise if they can upgrade continuously.

• Korean journal of applied entomology
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• v.22 no.2 s.55
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• pp.138-146
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• 1983

With the increase of pesticide consumption, not only pesticide handling population would grow greater but also the chances to be exposed to the pesticides would be also increased. Thus, safe use and handling of the pesticides are becoming more important and serious in these days. The pesticides are well known to most pepole, however there are very limited number of persons who have correct understanding of chamicals. Intoxication cases caused by pesticides have been reported very rarely through the mess media, even they were lack of scientific evidences. In this paper, problems related to pesticide manufacture, transportation, storage, sprays, and residues and their countermeasures were discussed in connection with public health and enviromental aspects. Acute intoxication cases by pesticide handling might be caused accidently either through manufacture, marketing, transportation, or spraying. Safety aspects of workers in manufacturing plants include not only exposure to toxic chemicals, but also posibilities of of explosion and brought about by pesticides and their diluents. The problems of water pollution by waste chemicals from the manufacturing factories were discussed. Packing and loading methods of pesticides for transportation are considered in safety scheme and discussions are given in association with traffic accidents. With regard to warehouse, the pesticide storage, location structure, keepers, and standing materials for emergency are concerned with safety aspects. Concerning the spraying of chemicals, there are some problems to be discussed about clothes, spray equipment, wind direction, spray period, and spray workers condition. After the spray, treatment of used containers, remainder of Pesticides, and spray tools are also discussed. For the dissolutions of problems on public health and environmental danger arising from pesticide residues, there are two legal sanctions; 'Pesticide Tolerances' and 'Pesticide Safe Use Standards'. These regulations are legally effective, however, some problems still remain in practices to implement the acts properly, because these provisions are followed by the far mers mostly. With these regards, most problems are concerned with various sectors and persons, affecting public health and environment from the producers to the end users and consumers. As a whole persons concerned with pesticides, every possible effort has to be assembled to protect hazards from the chemicals. For the foremost place, special training and education are required for managing groups; such as factory managers and agricultural extension workers who are responsible for training the factory workers and farmers. The education is the only way to solve the hazard problems caused by the pesticides.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.27-30
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• 2022

The plasma process, which has many advantages in terms of efficiency and environment compared to conventional process methods, is widely used in semiconductor manufacturing. Plasma Sheath is a dark region observed between the plasma bulk and the chamber wall surrounding it or the electrode. The Plasma Sheath Monitoring Sensor (PSMS) measures the difference in voltage between the plasma and the electrode and the RF power applied to the electrode in real time. The PSMS data, therefore, are expected to have a high correlation with the state of plasma in the plasma chamber. In this study, a model for predicting the state of nitrogen ions in the plasma chamber is training by a deep learning machine learning techniques using PSMS data. For the data used in the study, PSMS data measured in an experiment with different power and pressure settings were used as training data, and the ratio, flux, and density of nitrogen ions measured in plasma bulk and Si substrate were used as labels. The results of this study are expected to be the basis of artificial intelligence technology for the optimization of plasma processes and real-time precise control in the future.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.855-861
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• 2024

The power industry is undergoing a rapid transformation with the adoption of smart grid standards, advanced communication infrastructure, and new technologies for distributed power. MVDC (Medium Voltage Direct Current) technology plays a vital role in promoting efficient energy transmission and reducing greenhouse gas emissions, necessitating a structured architecture for stable management. This paper implements services defined in IEC 61850 and IEC 62541, defining a Virtual Manufacturing Device (VMD) to objectify the DTS (Digital Twin System). The VMD abstracts essential functions for control and monitoring, which are realized in DTS to enhance capabilities. The objectified DTS data facilitates server-client data exchange. Additionally, the proposed DTS-MS communication protocol defines transmitted data in JSON for remote access, providing node functionality for MVDC testing environments. The paper analyzes reference models for Digital Twin, proposes an Ethernet-based DTS architecture using international standards, and verifies the real-time performance improvements of the proposed system through mathematical simulations.

• Journal of Global Scholars of Marketing Science
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• v.19 no.3
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• pp.49-61
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• 2009

This article provides training exercises for executives into interpreting subroutine maps of executives' thinking in processing business and industrial marketing problems and opportunities. This study builds on premises that Schank proposes about learning and teaching including (1) learning occurs by experiencing and the best instruction offers learners opportunities to distill their knowledge and skills from interactive stories in the form of goal.based scenarios, team projects, and understanding stories from experts. Also, (2) telling does not lead to learning because learning requires action-training environments should emphasize active engagement with stories, cases, and projects. Each training case study includes executive exposure to decision system analysis (DSA). The training case requires the executive to write a "Briefing Report" of a DSA map. Instructions to the executive trainee in writing the briefing report include coverage in the briefing report of (1) details of the essence of the DSA map and (2) a statement of warnings and opportunities that the executive map reader interprets within the DSA map. The length maximum for a briefing report is 500 words-an arbitrary rule that works well in executive training programs. Following this introduction, section two of the article briefly summarizes relevant literature on how humans think within contexts in response to problems and opportunities. Section three illustrates the creation and interpreting of DSA maps using a training exercise in pricing a chemical product to different OEM (original equipment manufacturer) customers. Section four presents a training exercise in pricing decisions by a petroleum manufacturing firm. Section five presents a training exercise in marketing strategies by an office furniture distributer along with buying strategies by business customers. Each of the three training exercises is based on research into information processing and decision making of executives operating in marketing contexts. Section six concludes the article with suggestions for use of this training case and for developing additional training cases for honing executives' decision-making skills. Todd and Gigerenzer propose that humans use simple heuristics because they enable adaptive behavior by exploiting the structure of information in natural decision environments. "Simplicity is a virtue, rather than a curse". Bounded rationality theorists emphasize the centrality of Simon's proposition, "Human rational behavior is shaped by a scissors whose blades are the structure of the task environments and the computational capabilities of the actor". Gigerenzer's view is relevant to Simon's environmental blade and to the environmental structures in the three cases in this article, "The term environment, here, does not refer to a description of the total physical and biological environment, but only to that part important to an organism, given its needs and goals." The present article directs attention to research that combines reports on the structure of task environments with the use of adaptive toolbox heuristics of actors. The DSA mapping approach here concerns the match between strategy and an environment-the development and understanding of ecological rationality theory. Aspiration adaptation theory is central to this approach. Aspiration adaptation theory models decision making as a multi-goal problem without aggregation of the goals into a complete preference order over all decision alternatives. The three case studies in this article permit the learner to apply propositions in aspiration level rules in reaching a decision. Aspiration adaptation takes the form of a sequence of adjustment steps. An adjustment step shifts the current aspiration level to a neighboring point on an aspiration grid by a change in only one goal variable. An upward adjustment step is an increase and a downward adjustment step is a decrease of a goal variable. Creating and using aspiration adaptation levels is integral to bounded rationality theory. The present article increases understanding and expertise of both aspiration adaptation and bounded rationality theories by providing learner experiences and practice in using propositions in both theories. Practice in ranking CTSs and writing TOP gists from DSA maps serves to clarify and deepen Selten's view, "Clearly, aspiration adaptation must enter the picture as an integrated part of the search for a solution." The body of "direct research" by Mintzberg, Gladwin's ethnographic decision tree modeling, and Huff's work on mapping strategic thought are suggestions on where to look for research that considers both the structure of the environment and the computational capabilities of the actors making decisions in these environments. Such research on bounded rationality permits both further development of theory in how and why decisions are made in real life and the development of learning exercises in the use of heuristics occurring in natural environments. The exercises in the present article encourage learning skills and principles of using fast and frugal heuristics in contexts of their intended use. The exercises respond to Schank's wisdom, "In a deep sense, education isn't about knowledge or getting students to know what has happened. It is about getting them to feel what has happened. This is not easy to do. Education, as it is in schools today, is emotionless. This is a huge problem." The three cases and accompanying set of exercise questions adhere to Schank's view, "Processes are best taught by actually engaging in them, which can often mean, for mental processing, active discussion."

• Journal of Internet Computing and Services
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• v.7 no.1
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• pp.75-89
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• 2006

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA), Logit Analysis, Neural Network. The research targeted the bankrupted companies after the foreign exchange crisis in 1997 to differentiate from previous research efforts, and all participating companies were randomly selected from the KSE listed companies belonging to manufacturing industry to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural networks is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.87-91
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• 2003

It has well known that MUSIC and ESPRIT algorithms estimate angle of arrival(AOA) with high resolution by eigenvalue decomposition of the covariance matrix which were obtained from the array antennas. However, the disadvantage of MUSIC and ESPRIT is that they are computationally ineffective, and then they are difficult to implement in real time. The other problem of MUSIC and ESRPIT is to require calibrated antennas with uniform features, and are sensitive to the manufacturing facult and other physical uncertainties. To overcome these disadvantages, several method using neural model have been study. For multiple signals, those require huge training data prior to AOA estimation. This paper proposes the algorithm for AOA estimation by interconnected hopfield neural model. Computer simulations show the validity of the proposed algorithm. The proposed method does not require huge training procedure and only assigns interconnected coefficients to the neural network prior to AOA estimation.

• Journal of Navigation and Port Research
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• v.27 no.4
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• pp.465-469
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• 2003

It has well known that MUSIC and ESPRIT algorithms estimate angle of arrival(AOA) with high resolution by eigenvalue decomposition of the covariance matrix which were obtained from the array antennas, However, the disadvantage of MUSIC and ESPRIT is that they are computationally ineffective, and then they are difficult to implement in real time. the other problem of MUSIC and ESPRIT is to require calibrated antennas with uniform features, and are sensitive ti the manufacturing fault and other physical uncertainties. To overcome these disadvantages, several method using neural model have been study. For multiple signals, those methods require huge training data prior to AOA estimation. This paper proposes the algorithm for AOA estimation by interconnected Hopfield neural model. Computer simulations show the validity of the proposed algorithm. It follows that the proposed method yields better AOA estimates than MUSIC. Moreover, out method does not require huge training procedure and only assigns interconnected coefficients to the neural network prior to AOA estimation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3967-3974
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• 2011

In this study, the college's curriculum and industry satisfaction with graduates were investigated. As a result, the college education of the consumer's feedback to an education as the basis for the survey was conducted. To this end, a survey of industry conducted and analyzed a result. Questions of the survey are as follows: Foundation for industrial research, the recruitment of new employees, research on skills, basic research on curriculum, and skills related to satisfaction surveys were conducted. According to survey results the average period of employment in manufacturing. Research and development, and public officials, and management in the area has served more than three years. Distribution and service the tourism sector, mainly two years. The major practical difficulty in working theory of scarcity and insufficient foreign language skills, and inter personal relationship. Working in a variety of school curriculum and an emphasis on training relevant and practical by developing a training curriculum and the majors, colleges will improve for the satisfaction.