PURPOSES : Currently, the domestic construction industry is dominated by large-scale projects such as roads, ports, airports, and buildings. Construction on such projects is generally conducted simultaneously, but the process and quality management are led by a small number of responsible managers. In the case of road pavements, owing to rapid industrial development, economic growth, and the expansion of social overhead capital investment in the road construction industry, highways and general national roads have been constructed on a large scale. Therefore, this study aimed to improve and develop domestic concrete production and construction quality management by improving the reliability and transparency of production quality management and simplifying business processes. This was accomplished through the development of an Internet of Things (IoT)-based cement quality management system capable of automated design and build (D/B) construction and real-time monitoring. METHODS : The "IQ" system is a quality management system for enabling real-time monitoring of D/B quality at the time of concrete production and according to the designated age by utilizing quality test equipment developed with an LTE-Bluetooth function. It is possible to immediately identify and respond to quality problems through real-time monitoring, secure a reliable quality D/B because the quality test results cannot be arbitrarily manipulated, and to simplify the work process through the automatic D/B construction. In addition, improved quality control can be achieved through real-time information sharing and feedback system operations between contractors, managers, and personnel involved in construction. The quality control test items for developing the IQ system are the compression and flexural strengths, as these can be used to determine the design standard strength of pre-curing concretes (such as their slump and unit quantity) and the adequacy of the workability and durability, as well as the air volume to predict the durability, and the chloride content in the sections where reinforcement is used. CONCLUSIONS : This study identified difficulties and limitations in quality management according to the operation method in the domestic quality management systems, and in the real-time monitoring between managers and contractors. Thus, it was necessary to establish an improved systematic and reliable quality management system. The IQ system was developed to solve this problem.

With the rapid improvement of hardware and software-related IT technology, applying A.I. to the private and public sectors, such as the Food Poisoning Prevention Program in Nevada and Smart City based on big data in Boston, is steadily increasing. However, the cases of application to the regulation sector of government are still insufficient. The Korea Institute of Nonproliferation and Control (KINAC) is studying to apply A.I. technology to the regulation to improve the objectivity, consistency, and efficiency of classification and export licensing review. The KINAC developed the Nation Nuclear Technology Information Collection and Analysis System using A.I. techniques such as machine learning and deep learning techniques. KINAC and FNC Technology are developing the Export Risk Assessment System using A.I. modules and Bayesian Networks. The KINAC and Korea Atomic Energy Research Institute (KAERI) are developing an inventory history management system subject to the Nuclear Cooperation Agreements. The Nuclear Safety and Security Commission (NSSC) and KINAC operate the Nuclear Import and Export Control System (NEPS) for application and export license review according to relevant laws such as the Foreign Trade Act. Therefore, preparing an integration plan for the existing NEPS and the new systems is necessary. Since the NEPS has to be operated and accessible at all times, so the stability of the NEPS is the most important when integration and linking. So, it is suggested that the Collection and Analysis System and the Risk Assessment System, which require a lot of data traffic, are configured in a server separate from the NEPS, and the new DB and the NEPS DB are only linked. An inventory history management system is also suggested to be integrated and configured into the NEPS. Third, it is recommended that each system lists the information provided to or received from the NEPS in advance, and one-way communication should be performed basically. Two-way communication should be performed when necessary. Finally, against various cyber accidents and information leakage, it is proposed to review security vulnerabilities and apply essential security measures and guidelines. Through the integration and linkage of these systems, it is expected that the objectivity, consistency, and efficiency of classification and export licensing review of the KINAC are strengthened, and national transparency of development, production, and use of nuclear material is enhanced. It can be satisfied with the increasingly strengthened demands of the international community on duty for strategic item management.

Many piping systems installed in the power plant are directly related to the safety and operation of the plant. Various dampers have been applied to the piping system to reduce the damage caused by earthquakes. In order to reduce the vibration of the piping system, this study developed a steel coil damper (SCD) with a straightforward structure but excellent damping performance. SCD reduces the vibration of the objective structure by hysteretic damping. The new SCD damper can be applied to high-temperature environments since it consists of steel members. The paper introduces a design method for the elastoplastic coil spring, which is the critical element of SCD. The practical applicability of the design procedure was validated by comparing the nonlinear force-displacement curves calculated by design equations with the results obtained from nonlinear finite element analysis and repeated loading test. It was found that the designed SCD’s have a damping ratio higher than 25%. In addition, this study performed a set of seismic tests using a shaking table with an existing piping system to verify the vibration control capacity on the piping system by SCD. Test results prove that the SCD can effectively control the displacement vibration of the piping system up to 80%.

선박으로부터 발생하는 배출가스에 대한 규제가 강화되고 이를 해결하기위한 대안으로 전기추진시스템의적용이 대형상선에서 부터 중ㆍ소형선박에 이르기까지 그 사용이 증가되고있다. 전기추진시스템의 효율 향상을 위한 방법으로 발전원의 개선, 배터리ㆍ연료전 지ㆍ태양광 등의 친환경 발전원의 시스템 연계 및 정류기, 전력변환장치, 추진전동기의 개발과 제어방식의 연구를 들 수 있다. 그 중 정류 방식에 있어 상천이변압기과 다이오드를 이용하는 방식이 널리 사용되었으나, 직류배전을 이용한 친환경발전원의 계통 연계, 가변속 발 전원의 사용, 중ㆍ소형 전기추진시스템의 적용을 통해 전력용 반도체 소자를 이용한 AFE정류기에 대한 수요가 증대되고 있다. 이러한 AFE 정류기를 제어하는 방식에 있어 기존의 비례적분제어기가 아닌 신경회로망을 이용한 방식을 본 연구에서는 제안하였다. 기존의 제 어기 데이터를 활용하여 Matlab/Simulink를 통해 학습한 신경회로망제어기를 설계하고 PSIM을 통해 설계된 정류시스템에 신경회로망 제어 기를 적용하여 부하변동에 따른 직류출력단의 파형과 역률 개선의 유효성을 확인하였다. 이는 공간이 협소한 중소형 친환경 선박의 정류 시스템으로써 적용이 가능하다.

This study was designed to verify what effect the use of a natural ventilation system can have on improving indoor air quality with regard to radon in various concentration ranges in an apartment house. The results show that both high (2~3 times higher than 148 m3) and low (similar to 148 Bq/m3) levels of indoor radon concentrations can be reduced close to and/or below the Korean IAQ guideline within 6 hours when the natural ventilation system is operated at approximately an air change rate of 0.5. In the case of an air change rate of 0.3, however, the indoor radon levels cannot meet the national guidelines and the reduction effect was insufficient with regard to various radon concentrations. Typically, the air change rate of a natural ventilation system is affected by meteorological factors such as temperature, relative humidity, wind speed, pressure. Its effectiveness varies according to such factors, for that reason, the reduction effects on radon did not increase proportionally with the ventilation time in this study.

자동 관개 시스템에서는 관수를 자동으로 개시하고 중지할 수 있는 기준값의 설정이 중요하다. 관수 기준값은 작물의 종류와 생육 시기, 토성, 용적 밀도 등에 따라 달라지는 포장 용수량의 토양 수분값으로 결정되기 때문에, 전문적인 지식과 분석 경험이 필요하여 현장 농업인이 직접 파악하는 것은 어렵다. 그래서 재배 작물의 명칭, 재배 지역 및 재배 토양의 토성 등을 조건 변수로 하여 적절한 토양 수분값을 데이터베이스로부터 추출하고, 작물의 종류 및 생육 시기별 토양수분 기준을 데이터베이스화하여 선택한 작물에 적합한 토양수분 장력값을 설정할 수 있는 알고리즘을 개발하였다. 이 알고리즘을 센서부, 제어부, 구동부로 구성되어 있는 시스템에 적용하여 토양 수분을 제어할 수 있는 시스템을 개발하였다. 실험구별로 수분 제어 기준값을 설정하여 측정한 수분값이 -33 kPa 실험구에서 부합률 97.3%, -25 kPa 실험구에서 부합률 96.6%의 결과를 나타내었다. 이 시스템을 이용하여 최근 농촌지역의 고령화와 노동인구 감소에 따른 생산성 감소를 억제하는데 기여할 것으로 사료된다.

To ensure the safety and functionality of a railroad bridge, maintaining the integrity of the bridge via continuous structural health monitoring is important. However, most structural integrity monitoring methods proposed to date are based on modal responses which require the extracting process and have limited availability. In this paper, the applicability of the existing damage identification method based on free-vibration reponses to time-domain deflection shapes due to moving train load is investigated. Since the proposed method directly utilizes the time-domain responses of the structure due to the moving vehicles, the extracting process for modal responses can be avoided, and the applicability of structural health evaluation can be enhanced. The feasibility of the presented method is verified via a numerical example of a simple plate girder bridge.

In this study, the experiment was conducted on a fire door(W × H = 0.98 m × 2.19 m) installed on the vestibule. The effective leakage area for each opening angles and closing forces derived from the impulse-momentum equation was compared and analyzed with the experimental results. As a result of the experiment, the major factors affecting the door closing forces were the pressure difference and the area of the door. The difference of door closing forces between measured and calculated values by the impulse-momentum equation showed a deviation of less than ±15% at the opening angles of 5°to 10°. At the door opening angle of 2.5°, the dynamic pressure was much higher than the measured static pressure, and this pressure difference is estimated to be air resistance acting to prevent the door from being completely closed.

Cu2ZnSn(S,Se)4 (CZTSSe) based thin-film solar cells have attracted growing attention because of their earthabundant and non-toxic elements. However, because of their large open-circuit voltage (Voc)-deficit, CZTSSe solar cells exhibit poor device performance compared to well-established Cu(In,Ga)(S,Se)2 (CIGS) and CdTe based solar cells. One of the main causes of this large Voc-deficit is poor absorber properties for example, high band tailing properties, defects, secondary phases, carrier recombination, etc. In particular, the fabrication of absorbers using physical methods results in poor surface morphology, such as pin-holes and voids. To overcome this problem and form large and homogeneous CZTSSe grains, CZTSSe based absorber layers are prepared by a sputtering technique with different RTA conditions. The temperature is varied from 510 oC to 540 oC during the rapid thermal annealing (RTA) process. Further, CZTSSe thin films are examined with X-ray diffraction, X-ray fluorescence, Raman spectroscopy, IPCE, Energy dispersive spectroscopy and Scanning electron microscopy techniques. The present work shows that Cu-based secondary phase formation can be suppressed in the CZTSSe absorber layer at an optimum RTA condition.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a study on the application of QR Code recognition system during the development of QR Code-aware indoor mobility robots.

우리나라 딸기 재배는 시설 재배로 이루어지고 있으며, 대부분 농가의 급액 관리는 재배자의 경험을 토대로 타이머 제어 방식으로 이루어지고 있다. 타이머 급액 방법은 재배 환경, 작물의 생육 단계, 배지 수분 함량 등을 고려하기 어려워 작물을 최적 수준으로 관리하지 못하고, 급액 관리의 정확성이 결여되는 문제점이 있다. 적산 일사량과 배지 수분함량을 이용한 급액 방법은 작물의 생육 상태에 따라 정밀하게 양액을 공급하는 친환경적인 방법이다. 본 연구는 코이어배지를 이용 한 딸기 수경재배에서 적산일사량과 배지 수분함량을 이용한 복합 급액 제어와 타이머 제어 급액 방법을 비교하고 복합 급액 제어 시 최적의 적산 일사량 기준을 설정하고자 수행하였다. 적산일사량 급액 방법은 외부 일사량을 기준으로 100, 150, 250J∙cm -2에 도달하면 자동으로 급액하며 배지 수분함 량이 60% 미만이면 강제 급액하고, 1회 급액량은 50mL로 공급하였다. 타이머 제어는 대조구로 설정하였다. 급액을 개시 하는 적산 일사량 기준이 작을수록 일일급액량이 많았으며 100J∙cm -2 기준 급액 시 급액량은 250J∙cm -2 처리구 대비 46% 많았다. 지상부 생체중과 건물중 모두 복합 급액 제어 방법이 타이머 제어보다 높았으며, 100, 150J∙cm -2 처리구에서 지상부 생체중이 높았고 100J∙cm -2 처리구에서 건물중이 유의하게 높은 값을 나타냈다. 수량 또한 타이머 제어 방법보다 복합 제어 방법에서 유의하게 높았으며 적산 일사량 기준이 작을수록 초기 수량이 증가하였다. 평균 과중은 타이머 제어 급액 시 가장 낮았다. 본 연구 결과 딸기의 정밀 급액 관리를 위하여 적산 일사량과 배지 수분 함량 센서를 이용한 복합 제어 활용 가능성을 확인하였다.

This study develops a new device system for measuring a slope of object with non-adhesive, non-contact and non-face-to-face, namely Inclinometer Slope Laser Measuring (ISLM), that is applicable in the field. This system includes cradle, laser, camera, and computer and the filming and is performed after laser projection at programmed intervals. After measuring the amount of displacement converted to numerical values, these values can then be transferred to the office using the selected data transmission method. The obtained results from the test carried out to verify the reliability of the ISLM system indicated that the ISLM system can measure with accurately level of 0.1mm/Pixel at 1m distance and when increasing the camera resolution, the precision might increase proportionally. Therefore, the proposed measure system may widely apply on-site for various constructions, especially, in the case of object with very high surface temperature where exhibits difficulty to directly measure the adjacent structures. However, due to the sensitive reaction to the illuminance, this method can be applied with caution at times of large changes in illuminance, such as at dawn and at dusk.

급변하는 환경에서 지속 가능한 경쟁우위를 확보하기 위해 기업들은 끊임없이 새로운 지식을 획득해야 한다. 인수합병이나, 지식재산권의 구매 등이 이를 위한 대표적인 수단이나, 합작회사의 설립도 보완자산을 내재화하기 위한 효과적인 지식 획득 방법으로 주 목받고 있다. 그러나 모든 합작회사가 새로운 지식을 성공적으로 획득하는 것은 아닌데, 이는 기업들이 획득하고자 하는 지식의 특성에 맞는 적절한 학습전략 및 조직 구조를 갖추지 못했기 때문인 경우가 많다. 본 연구는 이 같은 문제의식 하에 상황이론 관점에서 지식의 특성을 다차원 적으로 구분하고 지식 특성에 맞는 학습전략과 조직구조의 필요성을 자동차 부품분야의 국제 합작회사 사례를 통해 살펴보았다. 하드웨어 기술에 최적화된 사례 회사(국제 합작회사)는 다른 성격의 지식인 소프트웨어 기술을 습득하기 위해 차별화된 학습 전략과 조직구조를 갖추지 못했고, 이러한 미스매치로 인해 합작회사를 통한 새로운 지식(엔진제어시 스템 기술)의 흡수에 실패하였다. 본 연구는 기업이 성공적 지식흡수를 위해 고려해야 할 요소들을 이론적 프레임워크를 통해 제시하고 실증분석을 통해 이를 검증함으로써 합작회사 설립, 인수합병 등 조직 변화를 통해 동태적 역량을 확보하고자 하는 기업들에게 실무적 시사점을 제공하고 있다.