• Title/Summary/Keyword: Data Convergence Management

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Design of a Real-Time Facility Diagnosis & Complex Data Management System Using IT Convergence Technology (IT융합기술을 활용한 실시간 설비진단 및 복합정보 관리시스템 설계)

  • Kang, Moon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.5
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    • pp.53-60
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    • 2014
  • With the rapid development of IT technology, recently, the development of IT convergence technology related to the facility diagnosis is prevalent, and the study for the efficient integrated management scheme is required to handle all relevant information, from the design to the maintenance, including the stage of repair. In this paper, an efficient scheme to process the complex data for the facility and its diagnosis is proposed based on IT convergence technique and the real-time complex data management is designed. In order to evaluate the performance of the proposed system, the real-time management system is designed for a particular facility, and the comparative results show the good performance of the proposed system.

A Research on TF-IDF-based Patent Recommendation Algorithm using Technology Transfer Data (기술이전 데이터를 활용한 TF-IDF기반 특허추천 알고리즘 연구)

  • Junki Kim;Joonsoo Bae;Yeongheon Song;Byungho Jeong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.78-88
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    • 2023
  • The increasing number of technology transfers from public research institutes in Korea has led to a growing demand for patent recommendation platforms for SMEs. This is because selecting the right technology for commercialization is a critical factor in business success. This study developed a patent recommendation system that uses technology transfer data from the past 10 years to recommend patents that are suitable for SMEs. The system was developed in three stages. First, an item-based collaborative filtering system was developed to recommend patents based on the similarities between the patents that SMEs have previously transferred. Next, a content-based recommendation system based on TF-IDF was developed to analyze patent names and recommend patents with high similarity. Finally, a hybrid system was developed that combines the strengths of both recommendation systems. The experimental results showed that the hybrid system was able to recommend patents that were both similar and relevant to the SMEs' interests. This suggests that the system can be a valuable tool for SMEs that are looking to acquire new technologies.

Correlation between adolescents' dietary safety management competency and value recognition, efficacy, and competency of convergence using dietary area: a descriptive study (청소년의 식생활 안전관리역량과 식생활 영역을 활용한 융합의 가치 인식 및 효능감, 역량과의 상관성 연구)

  • Yunhwa Kim;Yeon-Kyung Lee
    • Korean Journal of Community Nutrition
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    • v.28 no.4
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    • pp.317-328
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    • 2023
  • Objectives: This study aimed to investigate the correlation between adolescents' dietary safety management competency, value recognition, efficacy, and competency of convergence using the dietary area (CUDA). Methods: Data were collected from 480 middle and high school students in Daegu, Gyeongbuk and Seoul, Gyeonggi using a self-administered five-point Likert scale questionnaire from May to July 2021. A questionnaire was used to investigate dietary safety management competency, awareness of convergence, recognition of the benefits, efficacy, and competency of CUDA. Results: We conducted factor, reliability, correlation, and regression analyses using SPSS 25. The average scores for each factor were: dietary significance (3.68); dietary safety management knowledge (3.34); food selection and cooking (3.72); nutrition management (3.38); weight management (3.28); risk dietary management (3.13); CUDA interest (2.98); convergence necessity (3.50); benefits in specialized areas (3.31); benefits in everyday life (3.48); efficacy of science and technology convergence (3.35); convergence efficacy with humanities, social science, and arts (3.31); and CUDA competency (3.41). The score for interest in CUDA was lower than that for the recognition of CUDA benefits. Significant positive correlations were observed between all factors except between risk dietary management and both nutrition and weight management (P < 0.01). Interest in CUDA and recognition of the need for convergence exhibited a positive and significant effect on all factors of the perception of CUDA benefits and efficacy. The subgroup factors of dietary safety management competency and the recognition of CUDA had a positive effect on the CUDA competency (P < 0.001, R2= 0.58). Conclusions: Strengthening dietary safety management competency and increasing the awareness of CUDA can enhance adolescents' convergence competency. Therefore, CUDA and targeted education must be actively promoted among adolescents.

Tracing the Convergence of Industrial Sectors: Has the 4th Revolution Arrived Already? Or Are We on the Track?

  • Junmo Kim;Hae-Geun Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.4_1
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    • pp.781-795
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    • 2024
  • While an increasing number of people across diverse audience groups are engaging in discussions about the onset of the 4th industrial revolution, it remains challenging to pinpoint the symptoms of this phenomenon. This research, recognizing this difficulty, employed a time-series data-tuned cluster analysis to uncover evidence of industrial and technological convergence among the United States, Japan, and Korea by using time-series industrial R&D data and industrial wage data as indirect measures of industrial competitiveness and technology convergence. The results showed that the recent U.S. case of 2010-2019 data clearly featured the" phenomenon Tesla", which shows the convergence of Aerospace, Transportation equipment, and software. Supporting evidence for that comes from the results from the previous periods in the three countries, which shows a high concentration of cor manufacturing sectors, but no symptoms of convergence.

Research on the Construction of an Automation Model for Maintenance Managers Based on Smart Devices (스마트 디바이스 기반 유지보수 관리자용 자동화 모델 구축에 관한 연구)

  • Park, Jihwan;Chung, Suwan;Lee, Seojoon;Song, Jinwoo;Kwon, Soonwook
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.1
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    • pp.72-80
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    • 2021
  • Based on the previous year's statistics, 37% of buildings in South Korea are aged over 30 years. As the number of the aging buildings increases, so does the need for maintenance. Building maintenance involves a significant number of works; the work of 'maintenance manager' accounting for the largest part. Currently, the maintenance history record is mostly in drawing or handwritten form which makes reviewing the data highly time consuming. Therefore, to improve the convenience of maintenance works and optimize historical data management, the existing maintenance process was analyzed. Problems were derived and a smart device-based automation model was established. In order to establish a smart device-based automation model, ① general flow of facility management process was analyzed and related articles were reviewed, ② current maintenance process was optimized, ③ functional block diagram of BIM Data, COBie Data, IoT, and AR-based automated maintenance management model was created, ④ a smart device-based automated maintenance management model was constructed, ⑤ finally, the above system was verified by testing the aforementioned model in the field site, evaluating the time required for the maintenance process and reviewing maintenance history data against the current one.

Predictive Memory Allocation over Skewed Streams

  • Yun, Hong-Won
    • Journal of information and communication convergence engineering
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    • v.7 no.2
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    • pp.199-202
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    • 2009
  • Adaptive memory management is a serious issue in data stream management. Data stream differ from the traditional stored relational model in several aspect such as the stream arrives online, high volume in size, skewed data distributions. Data skew is a common property of massive data streams. We propose the predicted allocation strategy, which uses predictive processing to cope with time varying data skew. This processing includes memory usage estimation and indexing with timestamp. Our experimental study shows that the predictive strategy reduces both required memory space and latency time for skewed data over varying time.

Developing an Instruments to Measure the Convergence Talent: Building Convergence-oriented Organizations in South Korea (융합지향 조직 구축을 위한 융합인재 측정 도구 개발)

  • Lee, SeoYoung;Kwon, Sangjib
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.77-99
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    • 2019
  • This study aims to examine validity and reliability of the convergence talent measurement. Based on the comprehensive literature review on convergence and convergence talent, we draw 4 main competencies (convergence cognitive, accomplishment, problem solving, and attitude) and 10 critical aspects (creative thinking, critical thinking, cooperation, communication, problem-solving, knowledge accessibility, resource utilization, trust, openness, caring) for building an effective convergence-oriented organization. A validity and reliability test survey were conducted for the analysis to investigate the convergence talent scale. With a data of 151 employees in diverse companies, the results show that the factors demonstrated acceptable levels of validity and reliability. The empirical evidences of our study are 10 key aspects comprising four main dimensions which suggest an available scale for measuring the convergent talent for enhancing convergence-oriented organizations. Our research contributes to the expansion of academic and practical implications on convergence, especially in convergence-oriented organizations.

Machine to Machine Commerce(M2M Commerce) in the New Era of Network Convergence

  • Gauba, Mike
    • Information and Communications Magazine
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    • v.20 no.11
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    • pp.1550-1559
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    • 2003
  • The convergence of fixed and wireless networks in data communication is providing the necessary driver for M2M commerce to take-off. The opportunities provided by M2M Commerce areonly limited by imagination. Automotive Fleet and Freight, Tolling, Water and Power Metering, Supply Chain Management including Asset Management, Remote Monitoring and Diagnostics, Energy Management and Access Control and Security are among the many M2M applications that are currently getting rolled out. ARC Group expects the worldwide solutions market to be worth in excess of US$ 100 billion by 2007. In addition, operator revenues worldwide from the transport of Telematics data alone will rise from US$ 3.5 billion in 2002 to US$ 78 billion by 2007. This paper discusses some of the lifestyle and business opportunities provided by M2M Commerce in the new ear of network convergence. It also provides some case studies to demonstrate the benefits of M2M Commerce across the supply chain. The key focus of the paper is on achieving enhanced lifestyle, cost reduction, improved profitability and enhanced customer relationship management through M2M Commerce.

Technology Convergence Analysis Using Social Network k-Core: Focusing on Company Technologies of Defense Industry (사회연결망 k-코어를 활용한 기술융합 분석: 방위산업 기업의 보유기술 중심)

  • Park, Dong-Soo;Yoon, Han-Seong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.3
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    • pp.83-95
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    • 2022
  • A technology can be newly formed through technological convergence achieved by the intersection of two or more technological fields. As the complexity of technology development increases, related interest is increasing. Researches have been carried out on the concept, related indicators and analysis of technology convergence including method of social networks. This paper intends to suggest an analysis method of technology convergence using social networks based on the company's possessing technologies. According to the similarity of technologies among companies, a social network was constructed and the technology convergence was analyzed using k-core, a social network subgroup method. Using the result of k-core, base and element technologies for convergence was identified with their relations. Using the suggested method, technology convergence was analyzed on real technology data of defense-industry companies. When the minimum technology similarity is 0, the overall technology convergence relations between technology elements can be identified. In the scope of data in this paper, technologies of defense S/W, aircraft structure and structural materials are identified as important base technology for convergence.

Information Management by Data Quantification with FuzzyEntropy and Similarity Measure

  • Siang, Chua Hong;Lee, Sanghyuk
    • Journal of the Korea Convergence Society
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    • v.4 no.2
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    • pp.35-41
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    • 2013
  • Data management with fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem. Calculation of certainty or uncertainty for data, fuzzy entropy and similarity measure are designed and proved. Proposed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration.Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.