• Title/Summary/Keyword: Time-based Competition

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Survey on S&T Trend Information Service in Korea and Abroad (국내.외 과학기술 동향정보 제공 서비스 실태 조사)

  • 최성배;오규연;한선화
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.503-512
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    • 2004
  • The most important virtue that S&T information should possess is the promptness. In the era of global competition, it is very important to catch the technical trends and R&D policy of advanced countries in time. In this paper, we surveyed S&T trends information service in advanced and competing countries including USA, Japan, European countries, and china. Based on the survey result, we show that the "Overseas S&T Trends Information Service" provided by KISTI is dominant to those of other countries

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Evaluation of realtime communication over TCP/IP network for industrial automation (공장 자동화를 위한 TCP/IP 네트웍에서의 실시간 통신에 관한 연구)

  • 윤영찬;박재현
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1032-1035
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    • 1996
  • While Ethernet and TCP/IP are the most widely used protocol, for Real-time system, it is not applicable because it doesn't guarantee the deterministic transmission time. Furthermore, the TCP acknowledgement scheme and sliding window algorithm enforce to collide packets. Although various Collision-Free CSMA protocol was presented, it is very difficult to implement in well known OS(UNIX, WilidowsNT) because we have to modify network kernel. This paper presents another transmission protocol based on modified UDP. The colliding probability can be minimized by avoiding successive packet transmission and decreasing competition duration. The proposed algorithm can be used for the soft real-time industrial automation network.

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A Study on Development Policies of Knowledge-based Service in Korea (지식서비스 산업의 현황과 정책적 지원방안에 관한 연구)

  • Hong, Gil-Jong
    • International Commerce and Information Review
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    • v.9 no.4
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    • pp.329-347
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    • 2007
  • Knowledge-based Service evolution and the e-business has emerged as a new economic activity and beyond the time and space limitations. But the Enterprises have been too inactive in their willingness and readiness to adopt e-business models and processes owing to the lack of the directions of e-business, the insufficient network infrastructures and capitals, etc., In this circumstance, as part of this research, This Papers have conducted a survey on the e-business and information conditions and status among the Enterprises. In Conclusions, this study Study on the Informationalization of the Enterprises and Knowledge-based Service Industry Enlarge Strategics for building competition of Enterprises. This study has suggested potential plans to reinforce based in the Knowledge-based Service.

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Performance evaluation of vessel extraction algorithm applied to Aortic root segmentation in CT Angiography (CT Angiography 영상에서 대동맥 추출을 위한 혈관 분할 알고리즘 성능 평가)

  • Kim, Tae-Hyong;Hwang, Young-sang;Shin, Ki-Young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.2
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    • pp.196-204
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    • 2016
  • World Health Organization reported that heart-related diseases such as coronary artery stenoses show the highest occurrence rate which may cause heart attack. Using Computed Tomography angiography images will allow radiologists to detect and have intervention by creating 3D roadmapping of the vessels. However, it is often complex and difficult do reconstruct 3D vessel which causes very large amount of time and previous researches were studied to segment vessels more accurate automatically. Therefore, in this paper, Region Competition, Geodesic Active Contour (GAC), Multi-atlas based segmentation and Active Shape Model algorithms were applied to segment aortic root from CTA images and the results were analyzed by using mean Hausdorff distance, volume to volume measure, computational time, user-interaction and coronary ostium detection rate. As a result, Extracted 3D aortic model using GAC showed the highest accuracy but also showed highest user-interaction results. Therefore, it is important to improve automatic segmentation algorithm in future

The Effects of Task Complexity for Text Summarization by Korean Adult EFL Learners

  • Lee, Haemoon;Park, Heesoo
    • Journal of English Language & Literature
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    • v.57 no.6
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    • pp.911-938
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    • 2011
  • The present study examined the effect of two variables of task complexity, reasoning demand and time pressure, each from the resourcedirecting and resource-dispersing dimension in Robinson's (2001) framework of task classification. Reasoning demand was operationalized as the two types of texts to read and summarize, expository and argumentative. Time pressure was operationalized as the two modes of performance, oral and written. Six university students summarized the two types of text orally and twenty four students from the same school summarized them in the written form. Results from t test and ANCOVA showed that in the oral mode, reasoning demand tends to heighten the complexity of the language used in the summary in competition with accuracy but such an effect disappeared in the written mode. It was interpreted that the degree of time pressure is not the only difference between the oral and written modes but that the two modes may be fundamentally different cognitive tasks, and that Robinson's (2001) and Skehan's (1998) models were differentially supported by the oral mode of tasks but not by the written mode of the tasks.

Development of an Efficient 3D Object Recognition Algorithm for Robotic Grasping in Cluttered Environments (혼재된 환경에서의 효율적 로봇 파지를 위한 3차원 물체 인식 알고리즘 개발)

  • Song, Dongwoon;Yi, Jae-Bong;Yi, Seung-Joon
    • The Journal of Korea Robotics Society
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    • v.17 no.3
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    • pp.255-263
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    • 2022
  • 3D object detection pipelines often incorporate RGB-based object detection methods such as YOLO, which detects the object classes and bounding boxes from the RGB image. However, in complex environments where objects are heavily cluttered, bounding box approaches may show degraded performance due to the overlapping bounding boxes. Mask based methods such as Mask R-CNN can handle such situation better thanks to their detailed object masks, but they require much longer time for data preparation compared to bounding box-based approaches. In this paper, we present a 3D object recognition pipeline which uses either the YOLO or Mask R-CNN real-time object detection algorithm, K-nearest clustering algorithm, mask reduction algorithm and finally Principal Component Analysis (PCA) alg orithm to efficiently detect 3D poses of objects in a complex environment. Furthermore, we also present an improved YOLO based 3D object detection algorithm that uses a prioritized heightmap clustering algorithm to handle overlapping bounding boxes. The suggested algorithms have successfully been used at the Artificial-Intelligence Robot Challenge (ARC) 2021 competition with excellent results.

Expansion of e-business Transaction and Its Effective Vitalizations Strategy (전자상거래 확산과 비즈니스 서비스 산업 활성화 방안)

  • Jo, Seok-Hong
    • International Commerce and Information Review
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    • v.4 no.2
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    • pp.187-199
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    • 2002
  • Global economy these days is characterized with an unlimited competition due to Globalization and Information Age. Expansion of E-business accelerates informationized and globalized society and also intensifies market competition. As a result, global economy gradually develops to knowledge-based economy, and Business Service Industry becomes essential to the production increase in the manufacturing industry as well as its high added value comes into the spotlight as one of rapidly growing business industry. Business Service Industry has not yet been academically established, however, it may be defined as the industry of which production is a mediating service in the production process rather than in the final consumption. The export of the manufacturing industry has traditionally played mainstream role in Korea where economic development has been centered on the manufacturing export. However, as with increasing emphasis on the role of service sector and highly developed industrial field in the national economy, not only the relationships between manufacturing industry and service industry becomes rapidly more involved, but also the importance of highly competitive service industry becomes emphasized in accordance with open global economy after WTO system takes off. Now it is time we come to the realization that service is in the center of national competitive power as a result of global door open in all service industry.

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A Generalization of the Matrix Model of Rice Weevil Population (Coeloptera: Curculionidae) and its Applicability (쌀바구미 개체군(딱정벌레목: 바구미과)의 행렬모형의 일반화와 그의 적용 가능성)

  • 윤태중;류문일;조혜원
    • Korean journal of applied entomology
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    • v.36 no.3
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    • pp.215-223
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    • 1997
  • A matrix model of rice weevil population based on degree day (DD) was constructed. The basic matrix model predicted on exponential jncrcase of the adult weevil density and the finite rate of increase(h) of the population was estimated to be 2.155/100DD. Adult density simulated by the matrix model including intraspecific competition showed a damped oscillation over time and reached at the stationary level of 530 at 69, 300DD. The experimental population showed similar features to that of the model. But there were some differences in the highest density and period of adult oscillation. The differences could largely be caused by the assumption of the model; resource constancy.

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IT Investment and Financial Performance Volatility: The Moderating Role of Industry Environment and IT Strategy Emphasis

  • Wahyu Agus Winarno;Slamin
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.707-727
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    • 2022
  • Industrial revolution 4.0 makes business competition more challenging and will impact the instability of the company's financial performance. Dynamic environmental conditions make it difficult for companies to make predictions in making decisions. Investing in information technology (IT) is one way for companies to maintain financial stability and competitive advantage in dynamic competition. Resource-Based Theory (RBT) explains that information technology (IT) is a resource that can create a competitive advantage for the company. This study aims to examine the moderating role of dynamic industrial environments and IT strategic emphasis on the relationship between a lag effect of IT investment and firm's financial performance volatility. Using the data of companies listed on the Indonesia Stock Exchange (IDX) for five years starting from 2013-2017, the method used to estimate the research model's parameters is the generalized method of moments (GMM) approach. The results show that the industrial environment and the emphasis on IT strategy have a role in moderating and strengthening the relationship between the time lag in IT investment in reducing the firm's financial performance volatility.

Development of Sound Quality Index of a SUV' Axle for Evaluation of Enhancement of Sound Quality Based on Human Sensibility (인간의 감성에 기초한 승합차량 액슬의 음질 인덱스 개발에 대한 연구)

  • Lim, Jong-Tae;Lee, Sang-Kwon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.4 s.121
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    • pp.298-309
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    • 2007
  • There are various sounds in the car as much as cars have many mechanical parts. These sounds make various psychological development. The international competition in car markets has continuously required the research about the sound quality of a car. The domestic car makers have also invested a lot of money for the research and development of sound quality. Car axle plays an important role in a vehicle and its NVH development is also important. By this time, NVH development of car axle is mainly based on the reduction of sound pressure level (dBA), which cannot gives, the satisfaction to the customers in view of the sound quality of a vehicle. Therefore, in this paper, a sound quality index evaluating the sound quality of axle noise based on human sensibility is developed.