Quantum dots (QDs) are capable of controlling the typical emission and absorption wavelengths because of the bandgap widening effect of nanometer-sized particles. These phosphor particles have been used in optical devices, photovoltaic devices, advanced display devices, and several biomedical complexes. In this study, we synthesize ZnSe QDs with controlled surface defects by a heating-up method. The optical properties of the synthesized particles are analyzed using UV-visible and photoluminescence (PL) measurements. Calculations indicate nearly monodisperse particles with a size of about 5.1 nm at 260℃ (full width at half maximum = 27.7 nm). Furthermore, the study results confirm that successful doping is achieved by adding Eu3+ preparing the growth phase of the ZnSe:Eu QDs when heating-up method. Further, we investigate the correlation between the surface defects and the luminescent properties of the QDs.

The objective of this work is to investigate the A-IMS structural defects on the tubular shaft and solid shaft by analyzing the under-fill, metal flow, effective stress and load characteristics. The tubular shaft and solid shaft were designed 6 stage process by upper and lower die. The results were analysed by using a finite elements analysis method. The coefficient of frictions were set Oil_Cold conditions as referred to the analysis library. It was found that the actual under-fill phenomenon was not observed in both tubular and solid shaft. The load values of tubular and solid shaft were 520ton and 255ton, respectively. These values were under the limit of forging machine maximum value.

Reinforced concrete shear walls with deficient reinforcement details are tested under cyclic loading. The deficiency of reinforcement details includes insufficient splice length in U-stirrups at the ends of horizontal reinforcement and boundary column dowel bars found in existing low- to mid-rise Korean buildings designed non-seismically. Three test specimens have rectangular, babel and flanged sections, respectively. Flexure- and shear-controlled models for reinforced concrete shear walls specified in ASCE/SEI 41-13 are compared with the flexural and shear components of force-displacement relation extracted separately from the top displacement of the specimen based on the displacement data measured at diverse locations. Modification of the shear wall models in ASCE/SEI 41-13 is proposed in order to account for the effect of bar slip, cracking loads in flexure and shear. The proposed modification shows better approximation of the test results compared to the original models.

To identify the cause of the error and maintain the health of system, an administrator usually analyzes event log data since it contains useful information to infer the cause of the error. However, because today’s systems are huge and complex, it is almost impossible for administrators to manually analyze event log files to identify the cause of an error. In particular, as OpenStack, which is being widely used as cloud management system, operates with various service modules being linked to multiple servers, it is hard to access each node and analyze event log messages for each service module in the case of an error. For this, in this paper, we propose a novel message-based log analysis method that enables the administrator to find the cause of an error quickly. Specifically, the proposed method 1) consolidates event log data generated from system level and application service level, 2) clusters the consolidated data based on messages, and 3) analyzes interrelations among message groups in order to promptly identify the cause of a system error. This study has great significance in the following three aspects. First, the root cause of the error can be identified by collecting event logs of both system level and application service level and analyzing interrelations among the logs. Second, administrators do not need to classify messages for training since unsupervised learning of event log messages is applied. Third, using Dynamic Time Warping, an algorithm for measuring similarity of dynamic patterns over time increases accuracy of analysis on patterns generated from distributed system in which time synchronization is not exactly consistent.

양상추는 신선편이 채소 중 가장 중요한 원료 중 하나이다. 양상추는 수확 및 저장 중에 발생한 갈변이나 물러짐 등 표면 결함 발생하기도 하며 또한 수확 중 애벌레나 민달팽이 등 이물질이 포함하기도 한다. 세척공정을 통해 이러 한 애벌레나 이물질을 제거하지만, 세척과정 중에 완벽하게 제거되지 않은 결함들은 작업자가 육안으로 판별하여 일 일이 수작업으로 제거하고 있다. 이러한 육안 선별은 노동력이 많이 소요되고 작업능률이 낮아 자동 선별 요구도가 높다. 본 연구에서는 초분광 영상 기술을 이용하여 신선편이 양상추의 결함 검출 시스템을 개발하였다. 이 시스템은 가시광 및 근적외선 영역의 반사광 영상 측정부, 시료 이송부, 시료 반전부, 결제거부로 구성되어 신선편이 양상추의 앞면과 뒷면 모두의 결함을 동시에 검출한다. 이 시스템을 이용하여 애벌레 검출 알고리즘을 개발하였으며, 그 결과 신선편이 양상추의 이물질 결함이 가능하였다.

The purpose of this paper is to find an limitation to detect the defect of damaged asphalt pavement structures for infrared thermography. We use heat source of a natural light to detect the defect efficiently. The heat source was applied to the asphalt specimens. Four asphalt specimens were used: one was the asphalt containing depth of 1cm internal timber, two was the asphalt containing depth of 2cm internal void, Three was the asphalt containing depth of 3cm internal timber and four was not the asphalt containing internal timber. It was found that the depth of 3cm internal timber could be detected by this method. In addition, we used the image processing to make the damage zone displayed clear in the image obtained from the thermographic operation.

This study is a duralumin and applying heat to the STS-wide measurement range is used, the surface temperature by using the temperature of studying the non-destructive testing of a new paradigm to estimate the position and size of a structure defect purpose. STS and duralumin which has a structure defect is applied a heat by a heater. Its difference of STS and duralumin surface temperature is measured using IR thermography. The estimated result of the STS and duralumin experiment and that of theoretical analysis of PDE are compared and analyzed to diagnose the STS and duralumin defect. Moreover, this study can save time and money and improve accuracy contrast to the existing ultrasonic NDE experiment. In addition, the new paradigm of NDT/NDE by reverse-engineering is going to be valid if the data of thermal analysis and temperature distribution from the specifications of many materials is accumulated and verified. In this study, the average surface temperature of the STS in the same heating condition was 4.53 ° K higher than that of duralumin and both of the surface temperature showed an inflection point in the defect 2.5mm.The maximum surface temperature difference was formed on the 2.5mm, and the study proves its reliability because the average surface temperature of the STS and duralumin was 0.74°K, 0.45°K higher than the theoretical surface temperature.

A image defect detecting vision system for the automatic optical inspection of wafer has been developed. For the successful detection of various kinds of defects, the performance of two threshold selection methods are compared and the improved Otsu method is adopted so that it can handle both unimodal and bimodal distributions of the histogram equally well. An automatic defect detection software for practical use was developed with the function of detection of ROI, fast thresholding and area segmentation. Finally each defect pattern in the wafer is classified and grouped into one of user-defined defect categories and more than 14 test wafer samples are tested for the evaluation of detection and classification accuracy in the inspection system.

Numerous experiments have demonstrated that infrared thermographic methods are effective for detection of subsurface defects in the materials. The response of the material to the thermal stimulus is dependent on the existence of subsurface defects and their features. In order to obtain the information about defects, the material’s response to the thermal stimulus is studied. In this study, image processing was applied to infrared thermography images to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, thermal images were often not appropriate. Thus, four point method was used for processing of every pixel of thermal images using MATLAB program for quantitative evaluation of defect detection and characterization which increased the infrared non-destructive testing capabilities since subtle defects signature became apparent..

This study was carried out to analyze water suspension in the water supply system through fault tree analysis. And quantitative factors was evaluated to minimize water suspension. Consequently the aim of this study is to build optimal planning by analyzing scenarios for water suspension.Accordingly the fault tree model makes it possible to estimate risks for water suspension, current risks is 92.23 m3/day. The result of scenario analysis by pipe replacement, risks for water suspension was reduced 7.02 m3/day when replacing WD4 pipe. As a result of scenario analysis by water district connections, the amount of risk reduction is maximized when it is connecting to network pipe of D Zone. Therefore, connecting to network pipe for D Zone would be optimal to reduce risk for water suspension.

최근 사용자 제작 콘텐츠(UCC)를 포함한 다양한 콘텐츠의 생산으로 인해 데이터의 저장 및 재생성 과정에서 원본과 다른 데이터로 변형되는 경향이 있다. 특히 UCC의 경우 해상도 측면에서 화질의 저하가 발생되는데, 이때 발생되는 것이 바로 블록형 재깅 결함이다. 본 논문은 해상도의 급격한 변화가 있을 때 발생하는 블록형 결함을 제거하기 위하여 주성분 분석방법과 은닉 마코프 모델을 기반으로 블록형 재깅 결함을 제거하는 방법을 제안한다. 실험을 통해 제안한 방법은 기존 방법들에 비해 디테일을 유지하면서도 재깅 결함을 효과적으로 제거함을 확인하였다.

To observe the formation of defects at the interface between an oxide semiconductor and SiO2, ZnO was preparedon SiO2 with various oxygen gas flow rates by RF magnetron sputtering deposition. The crystallinity of ZnO depends on thecharacteristic of the surface of the substrate. The crystallinity of ZnO on a Si wafer increased due to the activation of ionicinteractions after an annealing process, whereas that of ZnO on SiO2 changed due to the various types of defects which hadformed as a result of the deposition conditions and the annealing process. To observe the chemical shift to understand of defectdeformations at the interface between the ZnO and SiO2, the O 1s electron spectra were convoluted into three sub-peaks bya Gaussian fitting. The O 1s electron spectra consisted of three peaks as metal oxygen (at 530.5eV), O2− ions in an oxygen-deficient region (at 531.66eV) and OH bonding (at 532.5eV). In view of the crystallinity from the peak (103) in the XRDpattern, the metal oxygen increased with a decrease in the crystallinity. However, the low FWHM (full width at half maximum)at the (103) plane caused by the high crystallinity depended on the increment of the oxygen vacancies at 531.66eV due tothe generation of O2− ions in the oxygen-deficient region formed by thermal activation energy.

ZIF 재료는 독특한 기체 분리 특성을 포함한 물리적, 화학적 특성 때문에 큰 관심을 받아왔다. 본 연구에서는 α-alumina 지지체 위에 결함 없고 연속적인 ZIF-7 막을 형성하는 새롭고 효율적인 방법이 연구되었다. 지지체 위에 시딩 (seeding)을 하지 않고 직접 ZIF-7 박막을 합성하는데 정전분무법이 처음으로 적용되었다. 이 방법은 전구체 용액을 직접 정 전분무함으로 α-alumina 지지체에 ZIF-7 박막을 형성할 수 있었다. ZIF-7 박막은 XRD, FE-SEM, 단일 기체 투과 장치 등을 이용해 분석하였다.

Negative binomial yield model for semiconductor manufacturing consists of two parameters which are the average number of defects per die and the clustering parameter. Estimating the clustering parameter is quite complex because the parameter has not clear

The long-period stacking order (LPSO) structures and stacking faults (SFs) in rapidly solidified powder metallurgy (RS P/M) Mg97Zn1Y2 alloy were investigated by high resolution transmission electron microscopy (HRTEM) observations. The 18R-type LPSO structure with a stacking sequence of ACBCBCBACACACBABAB and a period of 4.86 nm was observed in the as-extruded RS P/M Mg97Zn1Y2 alloy. After annealing at 773 K for 5 hr, the 18R-type LPSO structure was transformed to the 14H-type LPSO structure with a stacking sequence of ABABABACBCBCBC and a period of 3.64 nm. The 24R-type LPSO structure containing 24 atomic layers of ABABABABCACACACABCBCBCBC with period of 6.18 nm coexists with the 14H-type LPSO structure in the same grains. The LPSO structures contain intrinsic Type II SFs such as BCB/CABA and ABA/CBCB stacking sequences of a closely packed plane.