• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.329-333
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• 2008

최근 건설공사가 대형화 및 복잡화됨에 따라 건설현장에서의 진행관리 중요성은 점점 더 증대되고 있다. 현재 건설 프로젝트 현장에서는 데이터, 정보 기록 및 분석을 현장관리자가 직접 수작업으로 수행하고 있어 상당한 노력과 시간이 소비되고 있으며, 이는 생산성 저하 등 문제점을 있어 야기하고 있다. 이를 개선하기 위한 방안중의 하나로 첨단 DAT(Data Acquisition Technology) 기술 적용이 시도되고 있으며, 본 연구에서는 이러한 DAT의 포괄적 적용 가능성을 분석함으로써 효율적인 프로젝트 진행관리의 방안을 검토하고자 한다.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2008년도 공동춘계학술대회
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• pp.310-317
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• 2008

상용화된 항공라이다 기술을 이용한 자료취득의 비용소요는 여전히 큰 부담이어서 다양한 자료취득조건에 따른 자료취득 및 그에 따른 영향에 관한 연구는 미진한 편이다. 이에 본 연구는 3차원상에서 산림모델 및 항공라이다의 자료취득모델을 구현하여 이들을 토대로 다양한 자료취득조건에 따른 가상의 자료취득과 그에 따른 산림생장특성의 추정을 통해 적정한 자료취득조건을 구명하고자 수행하였다. 우선, 3차원의 입목모델을 규정하고 이 입목들의 식재간격 및 산림내 식생층위를 가변적으로 조절하여 가상의 산림모델들을 작성하였다. 아울러, 항공라이다 자료취득활동을 반영한 모델을 구현하고 주요 자료취득인자인 비행고도를 조절하여 다양한 취득밀도를 지닌 가상의 자료를 획득하였다. 이 자료들로부터 3차원 임관의 체적, 표준지 내 최대수고를 추정하여 자료취득밀도에 따른 추정결과의 차이를 비교분석하였다. 그 결과, 자료취득밀도가 높을수록 산림생장특성의 추정결과가 기대치에 근접하는 것으로 나타났다. 이러한 연구의 성과는 향후, 산림조사에서의 정확성 대비 항공라이터 취득비용에 관한 연구 등을 수행하면 다양한 산림생장특성의 정확성 수준에 따른 적정 예산수립 등에 도움을 줄 것으로 판단된다.

• 대한원격탐사학회지
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• 제21권3호
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• pp.229-242
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• 2005

Photogrammetry is a current method of GIS data acquisition. However, as a matter of fact, a large manpower and expenditure for making detailed 3D spatial information is required especially in urban areas where various buildings exist. There are no photogrammetric systems which can automate a process of spatial information acquisition completely. On the other hand, LiDAR has high potential of automating 3D spatial data acquisition because it can directly measure 3D coordinates of objects, but it is rather difficult to recognize the object with only LiDAR data, for its low resolution at this moment. With this background, we believe that it is very advantageous to integrate LiDAR data and stereo CCD images for more efficient and automated acquisition of the 3D spatial data with higher resolution. In this research, the automatic urban object recognition methodology was proposed by integrating ultra highresolution stereo images and LiDAR data. Moreover, a method to enable more reliable and detailed stereo matching method for CCD images was examined by using LiDAR data as an initial 3D data to determine the search range and to detect possibility of occlusions. Finally, intellectual DSMs, which were identified urban features with high resolution, were generated with high speed processing.

• 한국군사과학기술학회지
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• 제14권1호
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• pp.106-113
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• 2011

This paper describes Data Acquisition & Analysis System(DAS) for analysis of the multi-function radar. There are various information - beam probing data, clutter map data, plot data, target tracking data, RT tracking data, radar signal processing data, interface data - this device saves. The most important thing of data analysis is that a researcher gets a view of the whole data. The DAS intergrates with all of the data and provides overall information on the time matters occur. This is very useful advantage for approaching the matter easily. System algorithms of multi-function radar are improved by using this advantage. As a result of, range blank region have fallen about 72% and it is able to keep track in jammer environment.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.311-313
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• 2002

We are under development of a 3D PET scanner with depth of interaction (DOI) capable of high sensitivity and high resolution. In this scanner, a maximum data transfer rate of coincidence pair's event information is 10 Mcps and one event is a 64-bit data format. This maximum data transfer rate corresponds by 10 times a conventional PET scanner. A data acquisition system, which fulfills the specification of this scanner, is considered for parallel collection with banks including several coincidence units. Data transfer rate is improved by optimizing parameters of a message size, and so on.

• 전기학회논문지
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• 제60권10호
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• pp.1795-1803
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• 2011

Advanced Metering Infrastructure (AMI) is one of the important components to form a smart-gird, which is an advanced power system by combining the power system with the communication systems. This AMI makes it possible to exchange information between operators and consumers for the efficient and reliable operation of the power system through a smart meter or a In-Home Display. However, according to the increase of the demanded information such as the power quality, the accurate load-profile, and the billing data to help customers manage their power consumption, it is necessary to gather more accurate analytical data from each house appliances and transfer it to the smart meter for synthesizing the information and controlling each loads. In this paper, the development of the wireless data acquisition device for the individual load data metering, which is connected with the smart meter for advanced functions, is proposed. AVR, a kind of microcontroller, and Bluetooth are used and integrated into the proposed the wireless data acquisition device to transmit the detailed power data (voltage and current) to the smart meter. To verify the effectiveness of the proposed system, a hardware experiment is carried out including the confirmation of the possibility for providing the more various information by applying analysis algorithms to the obtained data. Also, the application structure of the wireless data acquisition device to gather the data from the various house appliances is presented.

• 천문학논총
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• 제11권1호
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• pp.243-250
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• 1996

Data acquisition system mounted on the Solar Flare Telescope at Bohyunsan Optical Astronomy Observatory is briefly described. The system is made up with CCD cameras, an image processor, a PCI-type PC and a SUN workstation. The image processor, MVC 150/40 comprises a variable scan acquisition module, an image manager and a binary correlator computational module. A typical polarization image of a sunspot is presented to demonstrate performance of the system.

• Asia pacific journal of information systems
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• 제30권4호
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• pp.879-918
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• 2020

One of the challenges faced by Talent Acquisition teams today pertains to the acquisition of human resources by matching job descriptions and skillsets desired. It is more so in the case of competitive sectors like the Indian IT sector. There can be various channels for Talent Acquisition and accordingly, the cost and benefits might vary. However, the consequences of a mismatch have an impact on the quality of deliverables, high recruitment expenses and loss of revenue for the organization. With increased and diverse sources of data that are available to organizations today, there is ample opportunity to apply analytics for informed decision making in this field. This paper reveals useful insights that help streamline the Talent Acquisition process in the Indian IT Industry. The paper adopts a data-centric approach to examine the critical determinants for efficient and effective Talent Acquisition process in IT organizations. Selected supervised machine learning algorithms are applied for the analysis of the dataset. The study is likely to help organizations in reassessing their talent acquisition strategy with respect to key parameters like expected cost to company (CTC), candidate sourcing channels and optimal joining period.

• Journal of Korean Biological Nursing Science
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• 제22권4호
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• pp.249-259
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• 2020

Purpose: Carbapenemase-producing Enterobacteriaceae (CPE) are associated with considerable mortality. This study was aimed to identify survival factors among medical care unit patients with CPE. Methods: We conducted a retrospective cohort; data were collected from September 2017 to June 2019 through electronic medical records. The data collected were general characteristics, disease-related characteristics, severity-related characteristics, and treatment-related characteristics. Data were analyzed based on frequency, mean, standard deviation, Chi-square test, Fisher's exact test, t-test, Pearson's correlation coefficient, and Cox proportional hazard model using SPSS/WIN 21.0 program. Results: Seventy-seven patients were included (59 survivors and 18 deceased) in the study. Univariate analysis identified factors for survival associated with acquired CPE as age (t= -1.56, p= .037), simplified acute physiology 3 (SAPS3) score of admission date (t= -2.85, p= .006), Glasgow coma scale (GCS) of CPE acquisition date (t= 2.38, p= .020), artery catheter at CPE acquisition date (χ²= 4.58, p= .032), vasoconstrictor agents use at CPE acquisition date (χ²= 6.81, p= .009), platelet at CPE acquisition date (t= 2.27, p= .025), lymphocyte at CPE acquisition date (t= 2.01, p= .048), calcium at CPE acquisition date (t= 2.68, p= .009), albumin at CPE acquisition date (t= 2.29, p= .025), and creatinine at CPE acquisition date (t= 2.24, p= .028). Multivariate Cox proportional hazard model showed that GCS at CPE acquisition date (HR= 1.14, 95% CI= 1.05-1.22), lymphocyte at CPE acquisition date (HR= 1.05, 95% CI= 1.00-1.10), and creatinine at CPE acquisition date (HR= 1.25, 95% CI= 1.04-1.49) were independent survival factors among medical intensive care unit patients with CPE. Conclusion: Based on the study results, it is necessary to develop nursing interventions that can aid in the management of patients with CPE and identify their effects.

• 한국정보통신학회논문지
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• 제10권6호
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• pp.1082-1087
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• 2006

본 논문에서는 LabVIEW 기반의 가스터빈 데이터 취득 및 모니터링 시스템을 제안한다. C-Tune DAS로 명명된 실시간 모니터링 시스템은 가스터빈의 유지/보수시 실시간 동작을 분석하는데 중요한 역할을 담당한다. LabVIEW 소프트웨어는 고유 기능별로 데이터 취득부, 데이터 분석 및 표시부, 데이터 저장부로 구성된다. 데이터 취득부를 통해 PMS 서버와 두 대의 cFP로부터 데이터를 취득한다. 복합화력 발전소의 상용 가스터빈에 적용하여 개발된 모니터링 시스템의 타당성을 검증한다.