• Title/Summary/Keyword: Value-Added Information

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Analysis of the Procurement Management Process for the Gas & Oil Plant projects (Gas & Oil 플랜트 조달관리 프로세스 분석)

  • Won, Seo-Kyung;Kang, Min-Woo;Lee, Jun-Bok;Kim, Sun-Kuk;Han, Choong-Hee
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.491-494
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    • 2007
  • Recently Gas & Oil plant construction projects are increasing in the world. The EPC (Engineering, Procurement and Construction) company, which participate in the plant projects, should possess the pertinent engineering license and procurement skill to create high added-value. It is because the procurement is very substantial to cover 70% of the total project cost. Nonetheless, there exist various risks involved in the procurement process due to the characteristics of the construction projects with long duration and complicated process as well as the procured goods or services subjected to various logistics. The objective of this paper is to analyze proper process in the procurement and to identify various information and document. Also to analyze procurement process, the principal data are derived from the interview with experts and specialty contractors of plant project. The result of this study would widely be used as a guide to the procurement personnel in forecasting the risks in advance.

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A Study on Economic Assessment of Image Processing Technologies for Meteorological Satellites (기상위성 영상처리 기술의 경제성 분석에 관한 연구)

  • Cho, Nam-Wook;Ahn, Jae-Kyoung;Sohn, Seung-Hee;Lee, Bong-Ju;Song, Jun-Woo
    • Journal of Satellite, Information and Communications
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    • v.7 no.1
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    • pp.13-20
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    • 2012
  • Despite of growing concern for developing meteorological satellites, poor investment has been realized to acquire effective and efficient satellite image processing technologies. In this study, not only qualitative exploration on mapping each elementary technology into related industries but quantitative inter-industry analysis induced from Total Cost of Ownership (TCO) of the Korean satellite image processing system were performed. Furthermore, economic assessment has been made by estimating internal rate of return(IRR) for the benefits returned versus TCO of the system. The results showed that agriculture and fisheries industry, tourist and leisure industry, and transportation industry were highly related with the acquisition of the system, and that 9.1 billion won of production-induced effects, 3.3 billion won of value-added-induced effects, and 54 individuals of employment-induced effects were anticipated except for those of directly relevant industries. Even in the pessimistic scenario, 7% of IRR exceeding 5.5% assumed as current public rate was postulated, consequently, the investment was fairly justified.

Development of GNSS Field Survey System for Effective Creation of Survey Result and Enhancement of User Convenience (효과적인 측량 성과물 작성 및 사용자 편의성 강화를 위한 GNSS 현장 측량시스템 개발)

  • Park, Joon Kyu;Kim, Min Gyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.3
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    • pp.203-210
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    • 2017
  • Korea has established an advanced infrastructure for real-time precise positioning such as CORS, virtual reference station service and perform continuous upgrading. However, in order to utilize the national infrastructure, it is necessary to process the acquired spatial information and take many steps to derive the final product. In addition, this process is highly dependent on foreign software. In this study, GNSS field survey system was developed and evaluation of its usability was performed. Real-time GNSS field survey system was developed and the system improves user̓s convenience and usability. The system was able to conduct survey effectively and produce the results. In addition, we compare the existing software with the survey performance to show the availability of the real-time GNSS surveying system. The system developed through the research can perform all the functions from real-time survey to the production of the outputs. It can create economical added value of the foreign software as a whole and simplify the work required for post-survey performance.

A Study of Disease Prescription Using Rehmannia glutinosa, Cnidium officinale, Angelica gigas, Paeonia lactiflora in Dongeuibogam (『동의보감(東醫寶鑑)』에서 숙지황(熟地黃), 천궁(川芎), 당귀(當歸), 백작약(白芍藥)이 군약으로 사용된 방제의 주치병증 비교)

  • Keum, Yujeong;Song, Shihoon;Lee, Byungwook;Song, Jichung
    • The Journal of Korean Medical History
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    • v.34 no.2
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    • pp.89-96
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    • 2021
  • This research aims to find a way to utilize the literature to select the herbs to be added or subtracted according to the condition of the patient after determining the basic prescription to be used for the patient. The study is based on data concerning the herbal composition and application of prescriptions described in the Donguibogam. The composition herbs was expressed as a weight ratio, the standard deviation of the weight ratio was calculated for each prescription, and the case where the weight ratio was greater than the base value (highest weight ratio - standard deviation) was designated as a principal herb. The various expressions of applications were changed to representative terms by the researcher and used to calculate the frequency. Of the 4,373 prescriptions for Donguibogam, 3,307 were able to be expressed in terms of weight ratios with 640 prescriptions using Rehmannia glutinosa, Cnidium officinale, Angelica gigas and Paeonia lactiflora as the principle herb. Of the 640 prescriptions, 508 prescriptions included applied information. Rehmannia glutinosa can also be used for symptoms such as fetal leakage(胎漏), short ingestion(食少), fever(發熱), dazed expression(眼花). Cnidium officinale can also be used for symptoms such as migraine(偏頭痛), stroke(中風癱瘓), tetanus(破傷風). Angelica gigas can also be used for symptoms such as forgetfulness(健忘), incontinence of urination(小便不通), palpitations(驚悸). Paeonia lactiflora can also be used for symptoms such as heart pain and abdominal pain(心腹痛), cough(咳嗽).

An Analysis on Macro-economic Effect of Tax Exemption in R&D Special Cluster (연구개발특구 조세감면제도의 거시경제적 파급효과 분석)

  • Kim, Sung-Tai;Jeon, Seung-Hoon;Lim, Byung In
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.409-416
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    • 2018
  • The purpose of this study is to estimate the macro-economic ripple effect of tax exemption for both high end technology firms and research enterprises in R&D special cluster. We apply the user cost of capital model and the Input-output model to the estimation. Estimation results for 2007-2016 are as follows: the increase in both the production and the value-added is 2,807 and 1,392 hundred million Korean won, respectively. Also, employers are increased by 2,355 people. These imply that keeping the tax exemption item for certain enterprises in R&D special cluster may be beneficial to our economy.

The Effects of CEO' s Compassionate Rationalism Leadership Strategies on Innovation Activities and Business Performance in SMEs (중소기업경영자의 온정적 합리주의 리더십이 혁신활동과 경영성과에 미치는 영향)

  • Park, Soo-Yong;Lee, Dong-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.70-79
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    • 2019
  • Domestic SMEs play a key role in production and employment, accounting for 98.9% of total enterprises, 74.4% of employment, 50.8% of production, and 49.0% of value added (as of 2016). However, they are faced with difficulties of survival because of continuous decrease in profitability, shortage of funds and manpower, insufficient accumulation of technology, minimum wage increase, and 52-hour workweek. In order for SMEs to continue to develop in such a difficult environment, we must constantly innovate our organization by making full use of our knowledge, information, experience and ability. To do this, CEO (management) leadership is very important to ensure that the best people are focused on the organizational innovation and management performance without moving the company. In this study, we wanted to establish empirically how the newly emerging compassionate rationalism leadership of SMEs business managers affected the innovation activities and management performance of companies. Research has shown that management's compassionate rationalism leadership has a positive and significant causal relationship with the innovation activities and management performance of the enterprise. Therefore, SMEs managers need to learn the bottom eight strategic factors of compassionate rationalism leadership and use them strategically to make efforts to create positive emotions for the organization so that members can be immersed in innovative activities and management performance creation.

A Research on Development of Multi-Screen Image and Application to Ultra-High Definition Contents (멀티스크린의 발전과 초고화질 콘텐츠 응용에 대한 연구)

  • Moon, Dae-Hyuk
    • Journal of Industrial Convergence
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    • v.18 no.6
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    • pp.33-39
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    • 2020
  • The multi-screen image system could make the audiences appreciate contents without special devices by expansively composing the images played on a single screen to many facets suitable for the use, which could provide the great immersiveness to the audiences. Based on the recent interest in realistic images, it is produced as films through the multi-projection technology such as Screen X or Escape, and it is developed into the media that could deliver stories and information. Also, the size of display tends to gradually get larger while the image quality is improved to high definition. Thus, the development is accelerated in the form of Digital Signage that could play the high definition image contents by solidly composing many HD or UHD display screens. Moreover, through the convergence of digital technologies, it is developed into the higher value-added industry that could have two-way communication. This study aims to understand the developmental history of multi-screen image from 1950 to the present, technical analysis, and the production method, and then to research how to minimize the image degradation when playing the contents, in various platforms using the multi-screen image.

A Method to Enhance the Recognition Rate of Marker Images in Augmented Reality (증강현실 마커 이미지의 인식률 개선 방안)

  • Park, Chan;Lee, Wan-Bok
    • Journal of Convergence for Information Technology
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    • v.12 no.1
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    • pp.1-6
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    • 2022
  • As augmented reality technology becomes more common and prevelant, marker-based AR contents are applied in various ways. However AR contents are still hardly utilized due to the low recognition rate of marker images. In order to increase the recognition rate of AR marker images, this paper experiment and analyzed how much the recognition rate of markers could be improved when image correction and design changes was applied. The experimental result shows that the image correction task could significantly improve the number of image characteristics and the recognition grade if the image was modified in a way its saturation value is increased. Moreover, the recognition rate was improved even more when regular pattern design was added to the original marker image. In conclusion, it was possible to make the marker well recognized through proper correction of the image and additional process of pattern design in the process of producing the marker image.

Evaluation of recent changes in genetic variability in Thoroughbred horses based on microsatellite markers parentage panel in Korea

  • Park, Chul Song;Lee, Sun Young;Cho, Gil Jae
    • Animal Bioscience
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    • v.35 no.4
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    • pp.527-532
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    • 2022
  • Objective: In this study, we aimed to investigate the recent changes such as allele frequencies and total probability of exclusion (PE) in Thoroughbred horses in Korea using short tandem repeat (STR) parentage panels between 2006 and 2016. Methods: The genotype was provided for 5,988 horse samples with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3 and VHL20). Results: In our study, the observed number of alleles per locus ranged from 3 (HMS1) to 9 (ASB17) in 2006 and 4 (HMS1) to 9 (ASB2) in 2016, with a mean value of 6.28 and 6.40, respectively. Of the 15 markers, HMS2, HTG4, and CA425 loci had relatively low polymorphism information content (<0.5000) in the Thoroughbred population. Mean levels of genetic variation in 2006 and 2016 were observed heterozygosity (HO) = 0.708, and expected heterozygosity (HE) = 0.685, as well as and HO = 0.699 and HE = 0.682, respectively. The PE was calculated for each group based on the allele frequencies of 14 or 15 STRs. The 2006 survey analyzed that PE was 0.9998, but it increased to 0.9999 in 2016 after the HMS2 marker was added in 2011. The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred population. Conclusion: The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred horses. However, continuous monitoring genetic variability is necessary.

A Study of Tram-Pedestrian Collision Prediction Method Using YOLOv5 and Motion Vector (YOLOv5와 모션벡터를 활용한 트램-보행자 충돌 예측 방법 연구)

  • Kim, Young-Min;An, Hyeon-Uk;Jeon, Hee-gyun;Kim, Jin-Pyeong;Jang, Gyu-Jin;Hwang, Hyeon-Chyeol
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.12
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    • pp.561-568
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    • 2021
  • In recent years, autonomous driving technologies have become a high-value-added technology that attracts attention in the fields of science and industry. For smooth Self-driving, it is necessary to accurately detect an object and estimate its movement speed in real time. CNN-based deep learning algorithms and conventional dense optical flows have a large consumption time, making it difficult to detect objects and estimate its movement speed in real time. In this paper, using a single camera image, fast object detection was performed using the YOLOv5 algorithm, a deep learning algorithm, and fast estimation of the speed of the object was performed by using a local dense optical flow modified from the existing dense optical flow based on the detected object. Based on this algorithm, we present a system that can predict the collision time and probability, and through this system, we intend to contribute to prevent tram accidents.