• Title/Summary/Keyword: data qualify

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Adaptive Realtime Traffic Allocation Algorithm for Streaming Data (스트리밍 데이터를 위한 적응적 실시간 트래픽 할당 기법)

  • Jin Hyun-Joon;Seo Sang-Jin;Park Nho-Kyung
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.3 s.345
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    • pp.111-117
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    • 2006
  • Developing a home network and a ubiquitous infrastructure requires various communication techniques and devices with more advanced hardware. With this development, increasing realtime access to multimedia data results in rapid degradation of qualify for multimedia playback. This paper presents a traffic allocation technique based on MPP(Media Preference for Presentation) that can steadily maintain multimedia playback quality by adaptively allocating streaming traffic requested from clients with different playback performances. Media preference is defined in accordance with content popularity and playback performance of client devices. Through experiments when requested stream data exceeds processing ability of a midea server, the proposed allocation technique shows 10% quality improvement comparing to the system without applying the proposed allocation technique.

North Koreans' Lives in the United States (미국으로 간 탈북자들의 정착과 적응에 관한 질적 연구)

  • Jun, Myung Hee
    • Korean Journal of Social Welfare
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    • v.64 no.4
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    • pp.89-111
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    • 2012
  • Since the U.S. government officially accepted North Korean(NK) as refugees starting in 2006, about 120 North Koreans have come to and been living in the United States. However, little is known in regard to what the North Korean refugees need for a qualify life. This study aims to explore the essential experiences of North Korean defectors who have settled in the United States after escaping North Korea. Research inquiries are why North Korean refugees have chosen the United States for their settlement, and how they are living in the United States. Data were collected from in-depth interviews with eight NK refugees. For data analysis, grounded theory approach by Strauss and Corbin(1998) was employed. The data analysis identified the central phenomenon, protective and risk factors, and core actions and consequences of NK refugees' adjustment in the U.S. The central phenomenon was "voluntary choose to come to the U.S." The core action and consequences in the process of their adjustment were 'searching for the meaning of life,' and 'achieving acculturation.' The findings may provide deeper understanding on the situation of North Korean refugees in the U.S. and implications for how to help them adjust well in the society.

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A Short Seismic Reflection Survey for Delineating the Basement and the Upper Units of the Gomso Bay, Yellow Sea (곰소만 지역의 기반암 및 상부 층서 파악을 위한 시험 탄성파반사법 탐사)

  • Kim Ji-Soo;Ryang Woo-Hun;Han Soo-Hyung;Kim Hak-Soo
    • The Journal of Engineering Geology
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    • v.16 no.2 s.48
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    • pp.161-169
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    • 2006
  • A short seismic reflection survey was performed to map the basement and the upper units in the Gomso Bay. This research was mainly aimed at clarifying the basement by improving the signal-to-noise ratio in data processing steps. The strategies employed in this research included enhancement of the signal interfered with large-amplitude noise, through pre- and post-stack processing such as time-variant filtering, bad trace edit, careful muting after f-k filter and NMO correction. The subsurface structure mapped from this survey mainly consists of the top of basement and the upper three units, which were well correlated to the result from the previously conducted MT survey. Furthermore seismic section clarifies approximately 30m deep subhorizontal event of the top of the basement, which was not shown in the central portion of the MT section due to data qualify.

Effects of Organization Maturity on the Six Sigma Performance (조직성숙이 6시그마의 도입성과에 미치는 영향)

  • Kim, Hye-Jeong;Kim, Ju-Young;Yu, Ji-Soo
    • Survey Research
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    • v.8 no.1
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    • pp.1-30
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    • 2007
  • Several corporations are adopting the 6 Sigma program. Not all corporations are yielding intended results. The inconsistent results may due to the absence of an adequate strategy formulation of 6 Sigma implementation. The 6 Sigma is a qualify control program but its implications are not confined only to qualify improvement. The 6 Sigma program is a change program to bring about changes in organizations. The thesis focuses on developing an installation strategy or model of 6 Sigma program. The utility of the model developed in this research is supported by the empirical evidence. The validity of the model is tested and verified based on the questionnaire survey conducted at 281 business firms. Few research has adopted the empirical survey. The previous researches are mostly centered around identifying success factors. Unlike the present methodology adopted in this research, the past research methodologies are mainly case studies. The distinctive feature of this research does not confine only to the methodology. This research attempted to identify an installation model that would help enterprises get maximum output from the 6 Sigma program. The suggested model is named as Sequential Model(SM). The SM consists of three stages: the preparation stage, the acceptance stage, and the maturity stage. The model is based on the assumption that organizations should follow three stages sequentially to yield the desired output effectively, The preparation stage is further defined including the organizational change factor, the driving system factor, and the promotion factor. The result variable, the organizational performance, is also further defined including the market competitiveness, the employees competitiveness, and the financial performance. The Structural Equation Model was used to test the validity of the Sequential Model(SM). Several alternatives models were developed and compared. The test results consistently show that the suggested model is a valid one and proves its superiority over alternative models. Through this empirical research, we have shown that the strategies of enterprises in line with the proposed model gained better results over others. The research results would be useful information for enterprises that consider formulation of installation strategy of 6 Sigma program.

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An Assessment and Review of IUCN Red List for Vascular Plants in Korean Peninsula (한반도 관속식물 IUCN 적색목록 평가와 문제점)

  • Chang, Chin-Sung;Kim, Hye Won;Kim, Hui
    • Journal of Korean Society of Forest Science
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    • v.106 no.2
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    • pp.111-120
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    • 2017
  • The best source of information on the conservation status of species at a global scale is the IUCN Red List of Threatened Species. Until now, 236 vascular plants from Korean peninsula have been evaluated using the IUCN red list categories and criteria. It indicated that five taxa were considered as critically endangered, 20 as endangered and nine as vulnerable species as a threatened status. On the other hand, the rest (189 taxa) were assessed as a least concern, which did not qualify for threatened species categories. Korea Ministry of Environment published a revised version of 57 species list by re-classifying endangered species with idiosyncratic qualitative criteria for two levels (I and II) followed by status reviews in 2011. However, two thirds species proposed by Ministry of Environment do not qualify as threatened. The major difficulties found in applying IUCN Red List criteria at the global scale was a lack of knowledge on the status of species at broader geographic scales and the perceived difficulty the causes. The lack of consistency between two lists constrains the prioritization of species-based conservation work at the national level. Due to a lack of centralized monitoring data for most species, this status is largely qualitatively and so it carries a high level of uncertainty. This is reflected in the high number of species with an unknown population trend. The current list of endangered species of flora and fauna by the Ministry of Environment should be recognized as the national list (local and population extinction), which is different from the IUCN Red list due to the different geographical contexts. Also, it is necessary to improve the quality of evaluation and conservation management system rather than presenting massive number of endangered species list.

A Study on Expansion Proposal of Data Dividend Qualification Based on the Contribution of Platform Workers (플랫폼 노동자의 기여에 따른 데이터 배당 자격 확대 제안 연구)

  • CHOI, Seoyeon;SHIN, Seoung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.187-193
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    • 2021
  • In February 2020, Gyeonggi-do paid the world's first Data Dividend to local residents of Gyeonggi Province who produced data using local currency. Currently, Data Dividend is being paid to consumers who have produced data, but this paper studied the expansion of Data Dividend qualifications according to the contribution to creating added value. First, it raised the question of whether it is right for the recipient of Data Dividend to have only the consumers who produced the data. Second, by analyzing the four elements of data valuation criteria that influenced the creation of added value identified the objects that influence the creation of added value. The 4 factors were divided into productivity, effectiveness, concreteness, and usability, and the objects corresponding to each factor were analyzed. Accordingly, it was determined whether platform workers contributed to the creation of added value. In conclusion, it was confirmed that not only consumers, who were the first data producers, but also platform workers who contributed to the concreteness of data valuation to create added value can qualify for Data Dividend. Since this paper focuses on the necessity of data allocation centered on platform workers among the objects, the validity of objects that influence added value other than platform workers are excluded.

Developing Road Hazard Estimation Algorithms Based on Dynamic and Static Data (동적·정적 자료 기반 도로위험도 산정 알고리즘 개발)

  • Yang, Choongheon;Kim, Jinguk
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.4
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    • pp.55-66
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    • 2020
  • This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

Quality Improvement and Application increase of Framework Data in the Facility Area (시설물분야 기본지리정보 품질 향상 및 활용 증대 방안)

  • Ru Ji-Ho;Heo Min;Lee Hyun-Jik
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.1
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    • pp.79-88
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    • 2006
  • The facility area occupies approximately 50% of the topographic landmarks playing an important role in the utilization of geographical information in various fields, and requires more up-to-date information than the framework data of other areas. However, the expression mode in the 1:5000 digital map, which is a primitive data used for the preparation of framework data in the facility area, limits the description of the information on buildings, and its revision/renewal term of 5 years makes it far from up-to-date or accurate. Therefore, this study aimed to analyze the problems and quality deteriorating factors that may occur in establishing the framework data on the basis of existing establishment process of them in the facility area, and improve the qualify of the framework data in facility area by upgrading the methods of quality improvement. Expanding the information on attributes and improving the accuracy of locations were proposed as ways to increase the degree of utilization of the framework data in the facility area. And as the methods of expanding the information on attributes, it was proposed to improve the accuracy of the information on attributes for the framework data in the facility area using the information on attributes in the 1:1000 scale maps, and also to diversify the information on attributes in connection with the LMIS and AIS. To improve the accuracy of the locations, analyses were made with the potential problems that may occur in the establishment process through an experiment on the framework data in the facility area based on 1:1,000 digital map, and the results were used to present an improved, optimum process.

Color Correction Using Back Propagation Neural Network in Film Scanner (필름 스캐너에서 역전파 신경회로망을 이용한 색 보정)

  • 홍승범;백중환
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.4
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    • pp.15-22
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    • 2003
  • A film scanner is one of the input devices for ac acquiring high resolution and high qualify of digital images from the existing optical film. Recently the demand of film scanners have risen for experts of image printing and editing fields. However, due to the nonlinear characteristic of light source and sensor, colors of the original film image do not correspond to the colors of the scanned image. Therefore color correction for the scanned digital image is essential in film scanner. In this paper, neural network method is applied for the color correction to CIE L/sup *//a/sup *//b/sup */ color model data converted from RGB color model data. Also a film scanner hardware with 12 bit color resolution for each R, G, B and 2400 dpi is implemented by using the TMS320C32 DSP chip and high resolution line sensor. An experimental result shows that the average color correction rate is 79.8%, which is an improvement of 43.5% than our previous method, polygonal regression method.

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Protozoa as an Indicator of Effluent Quality at Advanced Wastewater Treatment Plants (고도폐수처리장에서 원생동물을 이용한 수질예측)

  • Lee, Chan-Hyung;Moon, Kyung-Suk;Park, Sang-Jung;Lee, Eun-Ju;Cho, Jae-Keun;Jin, Ing-Nyol
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.4
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    • pp.389-396
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    • 2006
  • A quantitative survey of the protozoa microfauna at two advanced wastewater treatment plants has been carried out on a weekly basis. The abundance of the protozoa were compared with operating parameters and effluent quality using statistical procedures. The protozoa distribution indicated it seemed the composition of the influent wastewater and operating conditions of plant influenced the structure of protozoa in the plant. In statistical analysis, the distribution of protozoa showed the present operating condition of plant and predicted near-future effluent qualify. Enough data concerning protozoa, operating parameters and effluent has been gathered, the operator has a valuable tool for predicting plant performance and near-future data of effluent based on microscopic examination. Perhaps more importantly it can be used to actually control the plant to adjust the operating conditions to obtain the protozoal populations that have been shown to provide the best effluent quality.