본 연구는 세계 42개국의 자료를 사용하여 산업용 로봇 도입의 결정요인을 분석하고, 한국에서 산업용 로봇이 빠르게 확산되고 있는 원인을 진단하였다. 산업용 로봇 변수는 국제로봇협회(IFR)의 2001년-2016년 「World Robotics: Industrial Robots」 자료를 사용하였다. 설명변수는 노동시장환경 변수와 혁신역량 변수를 포함하며, 관련 변수들은 해당 국제기관들의 자료에서 추출하였다. 실증분석에는 일부 설명변수의 내생성을 통제하기 위해 Arellano-Bond 동적 패널분석을 사용하였다. 분석결과, 한국은 소득수준이나 고용비용 및 혁신역량 등을 고려하더라도 다른 국가들에 비해 산업용 로봇 도입이 매우 빠르게 확대되어 온 것을 확인할 수 있었다. 이는 수요 측면과 공급 측면 모두에서 그 원인을 찾을 수 있다. 즉, 고용비용 증가 등의 노동시장환경 변화가 산업용 로봇 도입에 대한 기업 수요를 견인하였으며, 경제 전반의 자본집약도 증가와 기업의 혁신역량 증대와 같은 공급 측면 요인 또한 산업용 로봇의 도입을 촉진시켰다.

The error between the speed display of the speedometer and the speed display of the navigation occurs in the process of driving the vehicle which makes most of the driver confused and also experience anxiety hence in this paper, by the car management law number 73 (2), tests were conducted with following procedures measured by standard speed tester to analyze the error clearly. The experiment was carried out by installing a car on a speed tester with a speed difference of 10km/h from 30 to 80km/h according to the manufacturer and the vehicle. The result was obtained by measuring differences of the speed display error between the speedometer and navigation when driving the car on the road at the same speed. With the standard speed gauge at 40km/h, error percentage of the speed tester and Morning was 15.9% (5.5km/h) and Sonata was 6.4% (2.4km/h). The error percentage between different car company models was 9.5%. With the standard speed gauge at 40km/h, the error percentage of speed displayed by navigation and Morning was 14.2% (5km/h) and Sonata was 5.3% (2.4m/h). The error percentage between different car company models was 9.6%(3km/h). It was shown that according to the standard safety and rules of the speedometer, the cars were manufactured considering the safety. The speed difference between the speed tester and the navigation was 1.7% (0.5km/h) for Morning, 0.6% (0.2km/h) and 1.1% (0.3km/h) for Trax.

Introduction The concept of brand equity has been receiving considerable interest from academia and practice in the past decades. While mutual understanding exists on the importance of establishing high-equity brands, less agreement among academics and practitioners prevails regarding its conceptualization and operationalization. Many approaches have been proposed to measure brand equity in academic literature and numerous competing companies such as Millward Brown, Interbrand, or Young & Rubicam offer commercial metrics and brand evaluations, which are likely to estimate different values to a specific brand. This study reflects a consumer-based perspective on brand equity, which resides in the heart and mind of the consumer and captures the value a brand endows beyond the attributes and benefits its products imply. Growing calls for the accountability of marketing has resulted in increasing interest in marketing metrics, which includes mind-set metrics to address the “black box” between marketing actions and consumer actions in the market. Theoretical Development One of the most prominent conceptualizations of brand equity is based on the premise that brand equity is “the differential effect of brand knowledge on consumer response to the marketing of the brand” consisting of brand awareness and brand image as the predominant dimensions that shape brand knowledge. In this model, a crucial role is ascribed to consumer’s associations with a brand as a reflection of its image. Accordingly, brand building and differentiation is based on establishing favorable, strong, and unique associations. Human associative network theory is a widely accepted concept to explain the storage and retrieval of information and has been largely applied in the context of brands. Associative network theory suggests that brand information is stored in long-term memory in a network of nodes that are linked to brand associations such as attributes, claims or evaluations. Consumers use brand names as cues to retrieve associations. Once cues activate corresponding nodes and consumers retrieve information from memory, the activation spreads to related nodes. Consequently, a transfer of associations can also occur through associative chains in a process of attitude formation. Consumer response to a brand can be of attitudinal and behavioral character and research on attitudes supports the general notion that both, affective and cognitive structures, explain attitude formation. The predictive properties of attitudes regarding actual behavior have been acknowledged by prior research and the attitude-behavior relationship has been established. Research Design Operationalization of Brand Equity This study distinguishes between attitudinal and behavioral measures of brand equity. The behavioral measures of brand equity should reflect the attitudinal brand equity components in predicting product-market outcomes. High brand equity should lead to a willingness to pay a price premium, purchase intention and willingness to recommend. Survey Brand equity measures are tested with two waves of data collection2 from online surveys conducted in 2015 and 2016. Respondents were recruited from a professional panel provider to ensure that the same respondents participated in wave two after a year from the first wave. Participants were selected according to a quota regarding age and gender to increase representativeness and were then randomly assigned to one of the three industries beer, insurance, and white goods capturing brand equity from different perspectives and allowing for a more holistic view. Sample The sample for the first wave consists of 2.798 respondents. The sample was matched with the response from wave two and only those respondents were selected who participated in both waves. Given the panel mortality rate, the final sample size for longitudinal analysis is 1.292 observations. The respondents’ age ranges from 18 to 74 with 52 percent being male and 48 percent female. Analysis Panel regression is used to estimate models assessing the relative importance of various brand equity metrics regarding the three outcome variables for the three categories included. The results suggest that no universal brand equity metric dominates that can be applied to predict behavioral outcomes across categories. Yet, category-specific brand equity metrics prevail across outcomes. Consumers seem to evaluate a strong brand as an entity they can personally connect to in the insurance category. In the beer category, consumers’ evaluation of strong brands reflects deep affect and the perception of product quality. High equity brands relate to loyal consumers with strong affective evaluations in the category of durable household products. Moreover, the results indicate that brand equity measurement can be simplified to a small subset of metrics without risking loss of model fit and predictive power. Discussion While a plethora of brand equity metrics exists, the results of this study suggest that brand managers can apply a small subset of available metrics to track their brands’ equity and predict behavior without implementing long surveys that require considerable time and effort from increasingly overloaded consumers. Yet, adjustments to the composition of brand equity metrics might be inevitable in light of category-specific effects. Moreover, the results reveal that a consideration of metrics capturing affective components such as brand self-connection and deep feelings such as brand love is indispensable for brand equity measurement. Including emotional measures and extending established brand equity metrics that are deeply rooted in extant research might provide a considerable advantage when it comes to measuring brand value in different product categories. References are available upon request.

FRP is a new material that has light, high strength and high durability characteristics and is emerging as a third construction material in and out of countries. However, very few studies have been done on curved FRP construction materials that can be used for tunnels or arched bridges. In particular, many joints are required for the application of curved panels to the open cut tunnel. Experimental data on the performance of the joint is required due to insufficient design criteria. The purpose of this study is to analyze the structural performance of real size, composite materials curved panels. To achieve this goal, curved panels were constructed and bending performance was tested. A numerical analysis was also performed and compared with the results of the test. The results of the test showed that the average load was 757.6 kN and the average displacement of bottom was measured at 53.12 mm. Compression stress on the upper flange and tensile stress on the lower flange were within acceptable limits of 50% of the allowable stress.

The purpose of this study was to investigate the resistance performance and the sensitivity of the panels placed on the free surface of the water using the potential-based Rankine source panel method. The potential-based Rankine source panel method was applied to predict a flow phenomena around a ship and the exact nonlinear free surface boundary conditions were adopted. The trim and sinkage state of the ship also were taken into account. In order to deal with complex geometries of the planing ship the panel cutting method was adopted. The R/V Athena ship was adopted as the high speed ship. Numerical analysis was carried out by systematically changing the range and number of panels in the free surface area, and the results were compared with each other.

The office building more than 3,000㎡ of the total floor area should be needed to improve the energy efficiency based on government's recommendation. In this study, the new composite panel with structural function is conducted to check the thermal conductivity for application of exterior wall. The thermal transmittance was calculated by dynamic analysis to consider the thickness of insulation only per locations based on design criteria. The simulation program for the analysis was used TRISCO Radcon module, which has a function of a steady-state 3-dimensional heat transfer analysis.

Eccentric axial load tests were carried out to investigate the structural performance of the SIP (Structural Insulation Panel), which is widely used as residential type in Europe and North America. Outside the country, design standards for SIP have been prepared and related research has been carried out variously. However, in Korea, the research on the performance of the structural insulation panel is very small, and the related standard is not provided. In this study, the eccentric axial load was applied after the opening was installed to utilize the structural insulation panel as the structural wall. The size of the test specimen was 1200 × 2400㎜. The number of test specimens was 6, and the size of the openings and the reinforcement method around the openings were used as variables.

본 연구에서는 LNG 저장시설의 외조를 구성하는 SCP(sandwich concrete panel)에 대한 충돌해석을 수행하고 그 거동을 분석하였다. 설계기준 중 하나인 BS7777에서 제시하는 충돌에너지와 동일한 값을 갖도록 두 종류의 충돌체와 다양한 충돌 속도를 이용하여 충돌조건을 구성하고 이에 대한 비선형동적 해석모델을 구성하여 설정된 충돌조건에 대하여 수치해석을 수행하였다. 또한 1차 충돌 후에 동일한 지점에 같은 충돌에너지를 가진 2차 충돌이 일어나는 것을 가정하여 충돌거동을 분석하였다. 해석결과 동일한 충돌에너지를 갖는 충돌에서 충돌체의 크기가 작고, 충돌속도가 작을수록 큰 변형이 발생하는 것 으로 나타났다. 충돌에너지는 외측강판과 내부 충진콘트리트가 6:4정도의 비율로 소산시키는 것으로 나타났다. 중복충돌해석 에서는 2차 충돌체의 크기에 따라 최종충돌변형이 지배되는 것으로 나타났고 2차 충돌에 의한 변형량은 1차 충돌에 비하여 적은 값을 나타냈는데 이는 강판의 막거동 때문인 것으로 분석되었다. 이격된 중복충돌에서는 이격위치와 관계없이 2차 충 돌점에서 가장 큰 변형이 발생하는 것으로 나타났다.

본 논문에서는 국부좌굴 현상을 고려하여 강판 콘크리트 패널(SCP)의 유한요소 해석을 수행하고 설계지침과 비교하여 전 단 스터드의 효율적인 스터드 배치 간격을 연구하였다. 강판 콘크리트 구조의 설계 및 기술기준은 전단 균열의 전개와 국부 좌굴 현상을 방지하기 위하여 스터드의 최대 간격을 제한하고 있으나 이는 기존 강재-콘크리트 합성 구조의 설계기준을 토대로 산정되었다. 이에 유한요소 해석 프로그램을 이용한 강판 및 SCP의 국부좌굴 부재 해석을 통하여 스터드 최대 배치 간격을 구하고 설계지침에서 제시한 값과 비교하였다. 먼저, 단일 강판에 대하여 국부좌굴 해석을 수행하여 판좌굴 이론과 비교 검증하였고, 연속적인 스터드 배치에 따른 영향을 확인하기 위하여 다수의 강판이 연결된 경우에 대하여 해석을 수행하였다. 또한 강판 콘크리트 구조에서 콘크리트의 영향 및 합성 거동에 따른 영향을 확인하기 위하여 강판 콘크리트 구조를 모델링하고, 국부좌굴이 발생하지 않는 스터드 배치 최대 간격을 구하여 설계지침과 비교하였다.

A metal mesh TCE film is fabricated using a series of processes such as UV imprinting of a transparent trench pattern (with a width of 2-5 μm) onto a PET film, filling it with silver paste, wiping of the surface, and heatcuring the silver paste. In this work nanosized (40-50 nm) silver particles are synthesized and mixed with submicron (250-300 nm)-sized silver particles to prepare silver paste for the fabrication of metal mesh-type TCE films. The filling of these silver pastes into the patterned trench layer is examined using a specially designed filling machine and the rheological testing of the silver pastes. The wiping of the trench layer surface to remove any residual silver paste or particles is tested with various mixture solvents, and ethyl cellosolve acetate (ECA):DI water = 90:10 wt% is found to give the best result. The silver paste with 40-50 nm Ag:250-300 nm Ag in a 10:90 wt% mixture gives the highest electrical conductance. The metal mesh TCE film obtained with this silver paste in an optimized process exhibits a light transmittance of 90.4% and haze at 1.2%, which is suitable for TSP application.

본 연구는 1991년∼2005년의 기간 동안 한국 특허청에 출원된 내국인 특허의 공동발명자료를 이용해 네트워크 특성 변수들의 ‘연도별 x 발명자별’ 패널 자료를 구축하고, 이 자료를 사용하여 발명자 네트워크의 특성변수들이 발명자의 특허생산성에 미치는 효과를 패널 회귀분석하였으며, 다음과 같은 결과를 얻었다. 첫째 네트워크상의 강한 연계는 발명자 생산성에 정(+)의 효과를 미치는 것으로 나타났다. 둘째, 네트워크내 중심에 있는 발명자일수록 특허생산성이 높았다. 셋째, 네트워크의 기술적 다양성은 발명자의 특허생산성을 높이는 요인이다. 넷째, 발명자 네트워크의 질이 좋을수록 그 네트워크에 속한 발명자의 특허생산성이 높아진다. 다섯째, 네트워크의 크기가 클수록 네트워크내 발명자의 특허생산성이 높다. 여섯째, 네트워크에만 의존하는 발명자의 특허생산성은 상대적으로 낮았지만, 네트워크에 속하지 않은 발명자의 특허생산성은 오히려 높았다. 일곱째, 네트워크 변수들의 효과는 지역별로 차이가 있다. 여덟째, 지리적 경계가 약화되고 있지만, 네트워크 효과의 지역적 차이는 줄어 들지 않고 있다.