• Title/Summary/Keyword: OO

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Improvement of Validity and Efficiency for Detection of Cryptosporidium Ocysts and Giardia Cysts in Environmental Water Samples (환경수 중 크립토스포리디움 오시스트 및 지아디아 시스트 검출의 정확도 및 회수율 향상을 위한 연구)

  • 이목영;조은주;김도연;변승헌;이의광;오세종;안승구
    • Korean Journal of Microbiology
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    • v.39 no.1
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    • pp.27-35
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    • 2003
  • No currently available methods to monitor pathogenic protozoa, Cryptosporidium and Giardia in environmental water come close to acceptable sensitivity, specificity and reproducibility, and so it has to be accompanied by thorough quality control and performance evaluation to credibly predict the distribution of them. We collected surface water samples from the Han River and spiked our prepared (oo)cysts, determined Matrix Spike recoveries using USEPA Method 1623 and considered what factors influence MS recovery and validity. As a result, average 46% of spiked oocysts and 60% of spike cysts were recovered, but repetitive sampling and statistical approach seemed to be necessary to determine the environmental pollution level of two protozoa as their variation coefficients was so much as 35oio and 26%. And MS recoveries with two acid dissociations during immunomagnetic separation were improved more 10% than that with one dissociations and the use of spiked suspension enumerated by flow cytometry instead of manual preparation enhanced the validity and reliability in spiking tests. Because fluorescence characteristics of (oo)cysts stained on well slides with FITC-labeled monoclonal antibodies and DAPI was not always same, well Elides from spiked field samples were helpful to evaluate the performance of staining. We found many (oo)cyst-like objects with typical fluorescence, not (co)cysts, from the Han River water samples, and then it was concluded that nuclei staining by DAPI (4',6-diamidino-2-phenylindole) and examination by Differential Interference Contrast Microscope should be critical for valid identification.

Complexity Metrics for Analysis Classes in the Unified Software Development Process (Unified Process의 분석 클래스에 대한 복잡도 척도)

  • 김유경;박재년
    • The KIPS Transactions:PartD
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    • v.8D no.1
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    • pp.71-80
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    • 2001
  • Object-Oriented (OO) methodology to use the concept like encapsulation, inheritance, polymorphism, and message passing demands metrics that are different from structured methodology. There are many studies for OO software metrics such as program complexity or design metrics. But the metrics for the analysis class need to decrease the complexity in the analysis phase so that greatly reduce the effort and the cost of system development. In this paper, we propose new metrics to measure the complexity of analysis classes which draw out in the analysis phase based on Unified Process. By the collaboration complexity, is denoted by CC, we mean the maximum number of the collaborations can be achieved with each of the collaborator and detennine the potential complexity. And the interface complexity, is denoted by IC, shows the difficulty related to understand the interface of collaborators each other. We prove mathematically that the suggested metrics satisfy OO characteristics such as class size and inheritance. And we verify it theoretically for Weyuker' s nine properties. Moreover, we show the computation results for analysis classes of the system which automatically respond to questions of the it's user using the text mining technique. As we compared CC and IC to CBO and WMC, the complexity can be represented by CC and IC more than CBO and WMC. We expect to develop the cost-effective OO software by reviewing the complexity of analysis classes in the first stage of SDLC (Software Development Life Cycle).

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The Effect of Entrepreneurship and authentic leadership on the Performance of Nonprofit Organizations (기업가 정신과 진정성 리더십이 비영리 조직의 성과에 미치는 영향)

  • Park, Eun-Mi;Seo, Joung-Hae
    • Journal of the Korea Convergence Society
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    • v.11 no.2
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    • pp.231-240
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    • 2020
  • In this study, the case of OO corporation was based on to examine the business performance and method of OO corporation and the competitive advantage and success factors were considered. For the progress of this study, references and advanced researches related to entrepreneurship, authentic leadership, and organizational effectiveness, which were suggested as the core competence of non-profit organizations, were examined and textual information was secured through the homepage of the targeted organization and news articles. Lastly, data needed for the research was collected through an interview with the Chief Executive Officer (CEO) of the organization. Through the process and analysis, the following findings were identified. First, the entrepreneurship of the CEO can apply as a core competence for the operation of the non-profit organization. Second, the proposition was derived that the roles of the CEO and leadership can apply as a key competence in the operation of the non-profit organization. This study implies that the many theories and strategies which were only targeted on companies can also be applied for the research of non-profit organizations. Moreover, concerning modern corporate management, strategic approach of non-profit organization characteristics like a sense of mission, fairness, and ethics can promote the creation of sustainable competitive advantage.

Measurement of Classes Complexity in the Object-Oriented Analysis Phase (객체지향 분석 단계에서의 클래스 복잡도 측정)

  • Kim, Yu-Kyung;Park, Jai-Nyun
    • Journal of KIISE:Software and Applications
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    • v.28 no.10
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    • pp.720-731
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    • 2001
  • Complexity metrics have been developed for the structured paradigm of software development are not suitable for use with the object-oriented(OO) paradigm, because they do not support key object-oriented concepts such as inheritance, polymorphism. message passing and encapsulation. There are many researches on OO software metrics such as program complexity or design metrics. But metrics measuring the complexity of classes at the OO analysis phase are needed because they provide earlier feedback to the development project. and earlier feedback means more effective developing and less costly maintenance. In this paper, we propose the new metrics to measure the complexity of analysis classes which draw out in the analysis based on RUP(Rational Unified Process). By the collaboration complexity, is denoted by CC, we mean the maximum number of the collaborations can be achieved with each of the collaborator and determine the potential complexity. And the interface complexity, is denoted by IC, shows the difficulty related to understand the interface of collaborators each other. We verify theoretically the suggested metrics for Weyuker's nine properties. Moreover, we show the computation results for analysis classes of the system which automatically respond to questions of the user using the text mining technique. As a result of the comparison of CC and CBO and WMC suggested by Chidamber and Kemerer, the class that have highly the proposed metric value maintain the high complexity at the design phase too. And the complexity can be represented by CC and IC more than CBO and WMC. We can expect that our metrics may provide us the earlier feedback and hence possible to predict the efforts, costs and time required to remainder processes. As a result, we expect to develop the cost-effective OO software by reviewing the complexity of analysis classes in the first stage of SDLC(Software Development Life Cycle).

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Priority of Modularization in Weapon System by using Grey Relational Analysis (GRA를 활용한 무기체계 모듈화 우선순위선정)

  • Lee, Kang-Taek;Lee, Jung-Hoon;Cho, Il-Hoon;Jung, Joo-Hyun;Kim, Geun-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.647-654
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    • 2016
  • In the defense industry, national security takes priority over economic sense and this has translated into high cost and long-term research and development. However, the exponential growth of technology and rapid changes in the security situation in recent years have resulted in a call for the development of systems at a low cost within a short period of time. In order to implement a modularization strategy in the field of defense, the introduction of line replaceable units in OO systems needs to be prioritized. This study selects six criteria following a literature review and prioritizes 11 modules for OO systems using the project evaluation method, Grey Relational Analysis (GRA). Based on the GRA results, the grey relational grades were derived as 0.83, 0.81 and 0.80 for the M11 (Main board), M8 (EMI module), M3 (Single board computer) modules, respectively. The cost and time of development is expected to be reduced in accordance with the grey relational grade. The results of this research could be utilized for decision making on adopting modularization in similar system development or product improvement programs (PIPs).

Comparison of Machine Learning Models to Predict the Occurrence of Ground Subsidence According to the Characteristics of Sewer (하수관로 특성에 따른 지반함몰 발생 예측을 위한 기계학습 모델 비교)

  • Lee, Sungyeol;Kim, Jinyoung;Kang, Jaemo;Baek, Wonjin
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.4
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    • pp.5-10
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    • 2022
  • Recently, ground subsidence has been continuously occurring in downtown areas, threatening the safety of citizens. Various underground facilities such as water and sewage pipelines and communication pipelines are buried under the road. It is reported that the cause of ground subsidence is the deterioration of various facilities and the reckless development of the underground. In particular, it is known that the biggest cause of ground subsidence is the aging of sewage pipelines. As an existing study related to this, several representative factors of sewage pipelines were selected and a study to predict the risk of ground subsidence through statistical analysis has been conducted. In this study, a data SET was constructed using the characteristics of OO city's sewage pipe characteristics and ground subsidence data, The data set constructed from the characteristics of the sewage pipe of OO city and the location of the ground subsidence was used. The goal of this study was to present a classification model for the occurrence of ground subsidence according to the characteristics of sewage pipes through machine learning. In addition, the importance of each sewage pipe characteristic affecting the ground subsidence was calculated.

Statistical Study of the Patient of Department of Acupuncture and Moxibustion at OO Korean Medicine Hospital in Daejeon - from September, 2019 to September, 2022 - (대전대 OO한방병원 침구의학과 환자들에 대한 통계적 분석 - 2019년 9월부터 2022년 9월까지 -)

  • So Jeong Kim;Hyun Jin Jang;Min Ju Kim;Hyeon Kyu Choi;Pil Je Park;Yeon Soo Kang;Hong Kyoung Kim;Jeong Kyo Jeong;Ju Hyun Jeon;Young Il Kim
    • The Journal of Korean Medicine
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    • v.44 no.2
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    • pp.20-33
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    • 2023
  • Objectives: This study is designed to statistically analyze the features of patients who visited to Department of Acupuncture and Moxibustion at OO Korean Medicine Hospital for 3 years. Methods: This study retrospectively analyzed the medical records of patients at Department of Acupuncture and Moxibustion at OO Korean Medicine Hospital using IBM SPSS ver. 27.0 for Windows. Results: 1. In the analysis of the total number of patients, those in their 30s accounted for the highest percentage, male patients had a higher rate. 2. In the analysis of KCD-8 code, spinal stenosis and fractures in areas other than the spine were the most common in the 70s and older, and cervical sprains were the most common in other. 3. In the analysis of the number of hospitalizations, patients classified as illness or higher age had more re-hospitalization than patients classified as injury or lower age in first-time care. 4. In the analysis of hospitalization duration, patients classified as illness, female or higher age had longer hospitalization duration than patients classified as accident, male or lower age in first-time care. Conclusion: We expect that the results of this study would be used as reference materials for analyzing medical consumption condition of Department of Acupuncture and Moxibustion.

Distributed Relay Selection Algorithm for Cooperative Communication

  • Oo, Thant Zin;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06d
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    • pp.213-214
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    • 2011
  • This paper presents a distributed relay selection algorithm for cooperative communication. The algorithm separates the decision making into two simple steps, decision making for employing cooperative communication and decision making for relay selection.