Hair style allows consumers to express their aesthetic sense and individual beauty. However, due to the attributes of hairdressing services and the high expectations of consumers, complaints are increasing rapidly. This study examined the complaint behavior, compensation and hair salon patronage of consumers. Then, a model is presented that explains the complaint behavior for hairstyling, forms of compensation, and hair salon patronage through empirical analysis. This study was conducted by a survey method. A total of 399 questionnaires were used for the analysis. The data were analyzed using SPSS 23.0 and AMOS 23.0 statistical software. The dimension of complaint behavior for hair style included verbal complaints, non-verbal complaints in the salon and private complaints outside the salon. The forms of compensation included re-procedure, psychological, and material compensation. Hair salon patronage was one-dimensional. These results were obtained through exploratory and confirmatory factor analysis. Then the conceptual model was empirically analyzed by covariance structure analysis and obtained in final form through model modification. Verbal complaint behavior positively influenced re-procedure compensation. In addition, non-verbal complaint behavior had positive effects on psychological and material compensation. Hair salon patronage was positively affected by re-procedure and psychological compensation. However, private complaint behavior had a negative effect on hair salon patronage. The direct and indirect effects of the paths among variables were verified by analyzing the mediating effects of different forms of compensations. It is possible to establish differentiated marketing strategies with these findings for consumers with complaint behaviors by considering the forms of compensation.

목적: 본 연구는 망막 영상의 혈관 분할을 위한 새로운 심층 인공 학습 시스템을 구축하는데 목적이 있 다. 기존 CNN (Convolutional Neural Network) 아키텍처를 제시하고, CNN 방식을 토대로 성능을 개선한 DirectNet을 고안하는데 있다. 특히, 기존 CNN에 비해 처리 시간을 크게 단축시키는데 있다. 방법: 제안된 DirectNet 아키텍처는 피라미드 형식의 블록(Block)들로 구성되며 각 블록은 컨볼루션레이 어 (Convolution layer) 묶음을 포함한다. 하나의 블록은 학습 결과를 보존(저장)하는 단위이다. 블록들은 순차적으로 하나씩 증가하며 피라미드 형식으로 쌓이게 되고 이를 통해 초기 학습 결과가 소멸되지 않고 최종 분석에 활용될 수 있도록 하였다. DirectNet은 패치(Patch) 추출과 Pooling 과정 없이 이미지를 학습하여 학습 층을 거듭하여도 원본 이미지와 동일하게 유지되는 것이 특징이다. 또한 다양한 커널사이즈를 활용 하되 Depthwise Separable Convolution(DSC)을 활용하여 색을 구성하는 RGB(Red, Green, Blue)픽셀로 부터 혈관 모양을 인식 및 탐지한다. 결과: DirectNet은 최첨단 패치 기반 CNN 접근 방식 (0.9538 vs 0.9327, 0.7851 vs 0.7346, 0.9782 vs 0.9730, 0.8458 vs 0.7987)과 비교하여 더 높은 정확도, 감도, 특이도 및 정밀도 값을 제공하였다. Direct Net의 학습 시간은 8시간에서 1시간, 테스트에 소요된 시간은 1시간에서 이미지 당 6초로 크게 단축하였다. 결론: 제안 된 심층 학습 아키텍처는 기존의 CNN 방식으로 진행한 학습 시간에 비해 8배, 테스트에서 600배 빠른 속도로 결과를 제공한다. DirectNet은 CNN에 비해 2.11%의 약간 높은 정확도를 보였으며, 다 른 측정 항목에서도 동등하거나 그 이상의 결과를 보여 분석 시간 효율을 크게 높였다.

Lithium-ion batteries have been considered the most important devices to power mobile or small-sized devices due to their high energy density. LixCoO2 has been studied as a cathode material for the Li-ion battery. However, the limitation of its capacity impedes the development of high capacity cathode materials with Ni, Mn, etc. in them. The substitution of Mn and Ni for Co leads to the formation of solid solution phase LiNixMnyCo1-x-yO2 (NMC, both x and y < 1), which shows better battery performance than unsubstituted LiCoO2. However, despite a high discharge capacity in the Ni-rich compound (Ni > 0.8 in the metal site), poor cycle retention capability still remains to be overcome. In this study, aiming to improve the stability of the physical and chemical bonding, we investigate the stabilization effect of Ca in the Ni-rich layered compound Li(Ni0.83Co0.12Mn0.05)O2, and then Ca is added to the modified secondary particles to lower the degree of cationic mixing of the final particles. For the optimization of the final grains added with Ca, the Ca content (x = 0, 2.5, 5.0, 10.0 at.%) versus Li is analyzed.

Current petrochemical product mainly comes from light olefin, such as ethylene and propylene. these olefins can be obtained as mixture form of olefin/paraffin, which is co-product of naphtha cracking process. However, the mixture of light olefin and paraffin is considerably difficult to separate because they have similar physicochemical properties such as density, boiling point, and molecular weight. Cryogenic distillation is currently utilized, but still suffered from high operating cost. Membrane separation with polyimide-based material is a promising alternative due to its lower energy cost and modular operation. Here, we synthesized composite membrane with metal-organic framework (MOF) based on polyimide exhibiting high permeability and selectivity in propylene/propane separation, as well as simple preparation and high stability.

We synthesized the poly(4-vinylbenzyltributylammonium hexanesulfonate) P[VBTBA][HS] which was obtained via anion exchange with hexanesulfonate after acquiring monomer [VBTBA][Cl] by Menshutkin reaction to investigate its feasibility as draw solute for forward osmosis process. P[VBTBA][HS] shows lower critical solution temperature (LCST) property at about 21℃, while LCST property of [VBTBA][Cl] and P[VBTBA][Cl] was not confirmed. This result suggests that P[VBTBA][HS] can be recovered from solution by heating them to above LCST. In AL-FS mode with solution of 20 wt% P[VBTBA][HS] at 15℃, water flux and reverse solute flux were found to be about 6.43 LMH and 0.59 gMH. This study can provide an understanding of new way of proceeding draw solute and information for the potential design and synthesis of thermo-responsive organic material.

Laminated graphene oxide (GO) membrane has great attention for ultrafast flux membrane with well-defined pore structure. However, laminated structure is sensitive to various factors such as functionalization, fabrication method and especially support morphology due to ultrathin thickness. Herein, we investigated surface roughness effect by controlling systematically wrinkled structure of support with ion beam treatment. Wrinkled surface of support generates free volume at interface, facilitating fast water transport, which confirmed 6.4 times enhancement on permeation of water while maintaining high rejection of all dye molecules. The tunability of nanostructure through support control can provide development for ultrathin GO membrane in water purification.

Perfluorinated sulfonic acid (PFSA) ionomers have been widely used as representative polymer electrolyte membrane (PEM) materials for water electrolysis to generate hydrogen and oxygen gases with a high purity (e.g., 99.999%) simultaneously. PEM should satisfy high selectivity of proton to water and act as gas barrier to hydrogen and oxygen in order to improve current efficiency which is a barometer to determine how effectively the electric energy is used for water electrolysis. In this study, PFSA ionomers with different chemical architectures and equivalent weights were used to make PEM materials for water electrolysis. The structure-property-performance relationship was systematically investigated.

The size of the camping trailer will bring the area of the camping trailer more space. The various types of expandable RV or camping trailers are available to ensure a wider camping space. In this study, we aim to provide technology to produce new types of products. This will ensure a wide range of camping space while, also, facilitating mobile traction, which includes the development of functional, convenience, and aesthetic product design. This will satisfy a wide range of consumer and their diverse needs. As a result, the body weight of less than 500 kg was achieved by weight in the design and manufacturing process of the product. Consumers will be satisfied because they can obtain an abundant amount of camping space.

Light weighting is one of techniques considered importantly at designing the mechanical structure using the light weight material. This study deals with aluminum-6061 and aluminum foam which stood in the spotlight of light weight material. And the finite element method for safety evaluation has been carried out in order to prevent from the damage and fatigue fracture due to crack appearing at the mechanical structure with this material. The simulation analysis as MT(middle tension) test was carried out by using the core of aluminum foam and the material laminated with sandwich structure of Al-6061. The mechanical structure is linked together with various parts and designed as the material with hole or crack. So, MT test is one of the test methods to evaluate the fatigue fracture characteristic of material and the strength inside material with the center crack by applying the load to the part connected pin. The real material strength is thought to be evaluated through the study result of MT test analysis.

The improvement in computing systems and sensor technologies devotes to conduct data-driven structural health monitoring algorithms for existing civil infrastructures. Despite of the development of techniques, the uncertainty oriented from the measurement results in the discrepancy to the actual structural parameters and let engineers or decision makers hesitate to adopt such techniques. Many studies have shown that the modal identification results can be affected by the uncertainties due to the applied methods and the types of loading. This paper aims to compare the performance of modal identification methods using Structural Modal Identification Toolsuite (SMIT) which has been developed to facilitate multiple identification methods with a user-friendly designed platform. The data fed into SMIT processes three stages for the comprehensive identification including preprocessing, eigenvalue estimation, and post-processing. The seismic and white noise response for shear frame model was obtained from numerical simulation. The identified modal parameters is compared to the actual modal parameters. In order to improve the quality of coherence in identified modal parameters, several hurdles including modal phase collinearity and extended modal amplitude coherence were introduced. Numerical simulation conducted on the 5 dof shear frame model were used to validate the effectiveness of using these parameters.

Owing to the development in information and communications technologies have improved the technology for high-speed transmission of massive data, which has changed closed-circuit television (CCTV) video transmission technology. In particular, digitization of the CCTV video format and streaming technology has made it possible to minimize transmission loss and integrate video transmission and camera control(pan/tilt). It has also become possible to provide additional services like remote emergency warning broadcasting with just Internet Protocol (IP). However, because of the structural problems of IP, these changes have also brought about the threat of hacking of CCTV monitoring systems. In this study, we propose a methode to optimize network management by examining cases of enhancement of operational efficiency and security by improving the structure of CCTV monitoring network.

산림천이는 몇 단계의 산림생태계 변화과정을 거쳐 최종단계인 극상림에 도달하는 것으로 우리나라 온대림의 극상림 을 이루는 대표 수종이 서어나무라고 하는 많은 연구결과가 제시되어 왔다. 특정지역 또는 국지적으로 나타나는 서어나무의 상관 군락을 대상으로 식생구조와 천이과정의 연구가 주를 이루고 있고 우리나라 온대림의 극상림으로서 서어나 무림을 제시한다는 것은 논란이 있을 수 있다. 따라서 본 연구는 2014년부터 2017년까지 17개산 75개소의 서어나무림을 대상으로 식생유형과 층위구조를 파악하고 이에 따른 생태적 천이경향을 구명하고자 수행되었다. 유형분류는 식물 사회학적 방법에 따라 수행하였으며 층위구조는 중요치를 분석하여 파악하였다. 종조성에 따른 유형분류결과, 총 6개의 식생단위와 9개의 종군 유형으로 분류되었다. 서어나무군락군은 난티나무군락, 개암나무군락(갈참나무군, 개암나무전 형군), 철쭉군락(물들메나무군, 개서어나무군, 철쭉전형군)으로 분류되었다. 각 층위별로 중요치를 분석하여 서어나무 림의 천이경향을 예측해 본 결과, 서어나무림은 ① 당분간 서어나무림으로 유지되는 유형(식생단위 2, 3, 6), ② 까치박 달림으로 천이가 진행되는 유형(식생단위 1, 4), ③ 붉가시나무림으로 천이가 진행되는 유형(식생단위 5)의 총 3가지 천이유형으로 나타났다.