• Title/Summary/Keyword: Decision-making System Innovative Performance

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Development of a Functional Complexity Reduction Concept of MMIS for Innovative SMRs

  • Gyan, Philip Kweku;Jung, Jae Cheon
    • Journal of the Korean Society of Systems Engineering
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    • v.17 no.2
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    • pp.69-81
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    • 2021
  • The human performance issues and increased automation issues in advanced Small Modular Reactors (SMRs) are critical to numerous stakeholders in the nuclear industry, due to the undesirable implications targeting the Man Machine Interface Systems (MMIS) complexity of (Generation IV) SMRs. It is imperative that the design of future SMRs must address these problems. Nowadays, Multi Agent Systems (MAS) are used in the industrial sector to solve multiple complex problems; therefore incorporating this technology in the proposed innovative SMR (I-SMR) design will contribute greatly in the decision making process during plant operations, also reduce the number MCR operating crew and human errors. However, it is speculated that an increased level of complexity will be introduced. Prior to achieving the objectives of this research, the tools used to analyze the system for complexity reduction, are the McCabe's Cyclomatic complexity metric and the Henry-Kafura Information Flow metric. In this research, the systems engineering approach is used to guide the engineering process of complexity reduction concept of the system in its entirety.

Students' Performance Prediction in Higher Education Using Multi-Agent Framework Based Distributed Data Mining Approach: A Review

  • M.Nazir;A.Noraziah;M.Rahmah
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.135-146
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    • 2023
  • An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.

Intra-organizational Conflict and Innovative Performance in Media Industry: An Exploratory Simulation Study

  • Cheon, Youngjoon;Jeong, Seong Bin;Kwak, Kyu Tae
    • Journal of Internet Computing and Services
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    • v.19 no.2
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    • pp.89-98
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    • 2018
  • Media industry is attempting various types of strategic innovation in the content and organization as they enter transition period. However, previous research has casually treated the organizational culture from the management and realized that cognitive/cultural differences between the specific departments yield conflicts. This means the researchers explored less on the decision-making process with the conflict between sub-groups and constituent in the organization. Our study reviewed the most positive method to achieve the innovation outcome through the conflict management within the organization based on the behavioral theory of the firm and applied computer simulation model for analysis to construct the quantitative scenario and infer the result. Conflict always found while media organization experiences innovation within the groups. However, in the long term, securing the independence through the certain state of 'anarchy' which possibly lead consensus implies significance rather to comprise collegiate system for unilateral control. In specific, this study explored the issues in 'conflict management' that has been evaded in media organization research through NK simulation model.

A Study on Technological Innovation and Employment Performance from the Perspective of Process : Focused on Small and Medium Sized Enterprises (프로세스 관점에서의 기술혁신 및 고용성과에 관한 연구 : 중소기업을 중심으로)

  • Bong, Kang Ho;Park, Jaemin
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1508-1535
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    • 2018
  • Employment in enterprises is a consecutive decision-making process based on the results of their innovative activities and it is necessary to consider this relationship as well explicitly in an analysis of the employment performance through technological innovation. Based on this critical mind, this study would analyze the structural relationships among enterprises' innovative activities, the performance of technological innovation, a compensation system and the creation of employment, reflecting the correlation of the process of the actual technology management performed simultaneously, utilizing the seemingly unrelated regression(SUR) model to estimate a simultaneous equation in addition to analyzing the relationship between technological innovation and the effect on employment with the ordered logit model to estimate a single equation as in the preceding studies. As a result of the analysis, a structural relationship could be found out, in which the execution of the compensation system would increase the performances of technical development and technology commercialization, which in turn, accelerates enterprises' employment. Especially, it is judged that enterprises' employment performance increases when technological innovation is managed from a process perspective in that the commercialization performance, as well as technical development, acts as a kind of hurdle in the effect on employment.

A Study on the Induction Procedure of PLM in the Multi-Item Product Business : Benchmarking Method (다품종 사업환경에서의 PLM 적용에 대한 연구 : Benchmarking 기법)

  • Ahn, Yong-Ho;Jeong, Woo-Cheol;Kim, Tae-Sung
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.125-133
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    • 2012
  • To make maximum benefit through the R&D investment, various methods is presented to support cooperating company in managing product information which reaches to conceptual design, detail design, production and a service from planning phase of production. Recently, the induction of PLM (Product Lifecycle Management) is being accelerated to design the enterprising system which is various from the idea phase for a product plan to the elimination through the life cycle of the product by the major companies. This study is focused on the research and development of the major companies which is producing products like sets, parts and equipment. This study proposes the process of product strategy, goods planning, development, information and the renovation of decision-making system.

INTEGRATED CONSTRUCTION PROJECT PLANNING USING 3D INFORMATION MODELS

  • Chang-Su Shim;Kwang-Myong Lee;Deok-Won Kim;Yoon-Bum Lee;Kyoung-Lae Park
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.928-934
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    • 2009
  • Although the evolution and deployment of information technologies will undoubtedly play an important role in the current construction industry, many engineers are still unsure of the economic value of using these technologies. Especially for the planning of a construction project, a collaboration system to utilize the whole resources is a essential tool for the successful outcome. A detailed, authoritative, and readily accessible information model is needed to enable engineers to make cost-effective decisions among established and innovative plan alternatives. Most engineers rely on limited private experiences when they create solutions or design alternatives. Initial planning is crucial for the success of the construction project. Most construction projects are done through collaboration of engineers who have different specialized knowledge. Information technologies can dramatically enhance the performance of the collaboration. For the information delivery, we need a mediator between engineers. Object-based 3-D models are useful for the communication and decision assistance for the intelligent project design. In this paper, basic guidelines for the 3-D design according to different construction processes are suggested. Adequate interoperability of 3-D objects from any CAD system is essential for the collaboration. Basic architectures of geometry models and their information layer were established to enable interoperability for design checks, estimation and simulation. A typical international project for roadway was chosen for the pilot project. 3-D GIS model was created and bridge information models were created considering several requirements for planning and decision making of the project. From the pilot test, the integrated construction project planning using 3-D information models was discussed and several guidelines were suggested.

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Development of AI-based Smart Agriculture Early Warning System

  • Hyun Sim;Hyunwook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.67-77
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    • 2023
  • This study represents an innovative research conducted in the smart farm environment, developing a deep learning-based disease and pest detection model and applying it to the Intelligent Internet of Things (IoT) platform to explore new possibilities in the implementation of digital agricultural environments. The core of the research was the integration of the latest ImageNet models such as Pseudo-Labeling, RegNet, EfficientNet, and preprocessing methods to detect various diseases and pests in complex agricultural environments with high accuracy. To this end, ensemble learning techniques were applied to maximize the accuracy and stability of the model, and the model was evaluated using various performance indicators such as mean Average Precision (mAP), precision, recall, accuracy, and box loss. Additionally, the SHAP framework was utilized to gain a deeper understanding of the model's prediction criteria, making the decision-making process more transparent. This analysis provided significant insights into how the model considers various variables to detect diseases and pests.

Development of Web-Based VE Supporting System for Effective Workshop (효율적인 VE워크숍을 위한 웹기반 VE지원시스템 개발에 대한 기초연구)

  • Lim, Jongkwon;Kim, Sunghun;Lee, Min-Jae
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.2
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    • pp.71-78
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    • 2014
  • Value Engineering methodology was introduced about 30years ago and has significant achievement in Korea. However, many of workshop still focus on cost down process and do not spend enough time on function analysis and expert cooperation. As a result, limited range of creative ideas were produced. To improve effectiveness of VE workshop, this study developed web-based value engineering process and system. And this study applied it to real case study to evaluate effectiveness of proposed system. Developed VE system also provides automated FAST diagram function and decision-making supporting tools. The authors found that this developed web-based VE system can significantly help to save cost and improve performance of VE workshop by using the appropriate VE process, and quick cooperation between experts. In addition, this study shows an example of a VE case study that applies the web-based VE system process, which led to a very innovative and effective way to lead workshop.

A Study on Employee Reward in Construction Companies Using Activity-Based Costing (활동기준원가계산을 이용한 건설기업의 직원 보상에 관한 연구)

  • Cho, Jin-Ho;Kim, Byung-Soo
    • Land and Housing Review
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    • v.13 no.2
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    • pp.125-139
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    • 2022
  • For construction companies to become competitive innovative, cost management as well as process improvement are required. Activity-based costing (ABC), which uses cost information to support long-term decision-making, is a tool that enhances a company's competitiveness. In this study, we compare and analyze tradition-based costing (TBC) and ABC to confirm the adequacy of performance-based costing. In addition, we will empirically examine the relationship between the impact of the reward system using ABC on employee satisfaction and involvement. In research results, the influence of the reward system on employee involvement appeared in the order of intrinsic reward (𝛽 = 0.338) and extrinsic reward (𝛽 = 0.308). In addition, the reward system showed positive (+) effects on employee satisfaction, with influence appearing in the order of intrinsic reward (𝛽 = 0.360) and extrinsic reward (𝛽 = 0.337). And employee satisfaction (𝛽 = 0.225) had a positive effect on involvement. We were able to confirm that it is necessary to build a reward system consisting of intrinsic and extrinsic rewards to increase employee satisfaction and involvement.

A Study on the Effect of Government Support System and Obstacles to Innovation on R&D investment and Performance of Small and Medium-Sized Manufacturing Companies : Based on CDM Model (정부지원제도와 기술혁신 저해요인이 중소제조기업의 연구개발 투자와 성과에 미치는 영향: CDM 모형을 바탕으로)

  • Lee, Yun-Ha;Park, Jae-Min
    • Korean small business review
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    • v.41 no.3
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    • pp.49-75
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    • 2019
  • Market instability offers opportunities as well as the need for careful innovation strategies and learning for a company's survival. Companies that find new opportunities decide to carry out innovation and decide on the size of their investments by considering their position in the market they are aiming for and the intensity of competition. This study was conducted to check whether obstacles to innovation face by SMEs in the manufacturing sector vary depending on the stage of corporate growth and to identify the impact of the government support system on the decision-making process on the performance of innovation. According to the analysis, there were differences in obstacles to innovation depending on the stage of corporate growth. It was found that more innovative SMEs are, more obstacles they face, and to overcome such obstacles, they try to access government support systems more. In addition, the use of a government support system eliminated obstacles to innovation, and the positive and significant effects of investing in innovation were identified. This study is meaningful in that it explicitly approached these hypotheses by applying a multistage model to the process of innovation carried out by SMEs in the manufacturing sector.