PURPOSES: The purpose of this study is to compare the lane curing time of natural drying and a lane drying device when painting lines on a highway. METHODS: The painting process was carried out in July 2015 and September 2015, respectively, for the Gimcheon IC - Gimcheon JC. After the painting, measurements were obtained three times at six measurement points located at 20 m intervals on the shoulder line and the dividing line. The curing time was measured for natural drying and drying using a lane drying device, and compared for different pavement types (asphalt, concrete) and paint types (waterborne paint, methyl methacrylate paint). RESULTS : The results of the lane curing time comparison on the highway are as follows. The combination of asphalt and methyl methacrylate paint cured more rapidly during both the natural drying and drying using the lane drying device. Finally, it was cured at least 32.2% and 40.7% faster when using a drying device than in natural drying. CONCLUSIONS: The comparison of lane curing time of the highway showed that the combination of asphalt and methyl methacrylate paint cured more rapidly when using both natural drying and a lane drying device.

Introduction Recently, the popularization of mobile devices has been changing the pattern of customers’ life. In the online market, the distribution market has been also expanding from PC-based online to mobile shopping using smart phones. As the shopping market using mobile has grown rapidly in the developing smart age, the interest of home shopping is moving toward mobile media. Through the home shopping company's web site and mobile application, live broadcasting, real-time communication service, and other customers’ review are performed at the same time. Home shopping customers who have questions or inquiries about products are meeting salespeople through home shopping mobile application and real-time communication service. The significance of this study is to present effective strategies for connecting live home shopping and real-time communication of mobile application, thereby enabling customers to make smart consumption. Through this service, home shopping company can perceive customers’ needs as well as form cocreation value with customers. In addition, home shopping company aims to provide a more useful and effective method in the process of providing real-time communication service by checking the form of customers participating in real-time communication service. Theoretical Development Although there are many prior researches on adaptive selling on salespeople in offline, research on effective sales strategies of live home shopping and real-time communication using application has not yet been conducted. Nowadays, many customers' purchasing methods are moving from offline to online. Therefore, by referring to similarities between virtual world and actual society in Internet space studied in many previous studies, we would like to find out whether the offline advantage of "adaptive selling tactics" in the sales field can be applied to on-line. Adaptive selling means changing sales behavior throughout the interaction or interaction with the customer based on perceived information about the sales situation. Salespeople need to change their sales behavior in order to meet each sales situation or individual customer's desires. Adaptive selling can be said to modify the communication style and content according to the customer's desire (Weitz, Sujan & Sujan, 1986; Spiro & Weitz, 1990). The main reason for the co-creation value activities of companies and customers is that the marketing paradigm is shifting from good-dominant logic to service-dominant logic (Lusch & Vargo, 2006). This means that new value creation areas of new product development are expanding as customers participate in various decision-making related to the companies (Payne, Storbacka & Frow, 2008). To realize the value proposition, a firm must co-create value with its customers by means of direct interaction (Grönroos & Voima, 2013). Research Design The contents of this study are as follows. First, we divide the adaptive selling strategies of salespeople in real life into live home shopping and mobile application roles, and then examine whether live home shopping and mobile application affect customer trust. In previous study, Frazier and Summers (1984) proposed six tactics – information exchange, recommendation, request, threats, promises, and legalistic pleas, and Richard et al. (2006) proposed another six tactics. Anderson and Weitz (1989) define trust as one party’s belief that its needs will be fulfilled in the future by actions undertaken by the other party. Second, we investigate the effect of customer trust on home shopping commitment relationship. Ganesan (1994) defined relationship commitment as the desire to develop stability of relationship, the belief that the relationship is sustainable, and the willingness to make short-term sacrifices to maintain the relationship. Through this process, we are able to confirm the possibility of replacing actual meeting with tool called online real - time communication. Third, we want to find out the effect of home shopping commitment relationship on brand commitment relationship. Even if the same brand product, we can know the effect of commitment relationship depending on home shopping company. Finally, we are going to find out how to create co-creation values with customers by real-time communication service to solve the questions and problems of customers immediately. The creation of co-creation values between customers and companies can increase the success rate of new product development that reflects the core needs of customers and reduce resources such as corporate marketing and R & D, which can ultimately serve as a driving force for creating sustainable competitive advantage (Vernette & Hamdi-kidar, 2013).

Across two experiments, this study provides support for the concept that money and time are marked by psychologically distinct constructs. As temporal distance increases, preferences are more likely to be based on the value associated with a high-level construal of options than the value associated with a low-level construal of options. That is, as potential contributors are asked to donate later, high-level featured resources (i.e., time) take focal precedent over low-level ones (i.e., money) in judging preference for donation methods. This study also found that the match effect between temporal distance and construal-level holds only when the level of attitude toward NPO is relatively favorable. However, donation intention is enhanced under mismatch conditions when the level of attitude is less favorable. That is, when potential contributors hold relatively less favorable attitudes toward the NPO, those who are requested to make an expediting decision of donation are more likely to have higher intention to donate with a high-level construal resource. This study attributed the finding to the shift of people’s focal resource through their level of attitude toward the NPO. Unlike the previous research, which focused mainly on how temporal distance influences individuals’ construal levels to result in different donation behaviors, this study investigates the relationship between donation resources and temporal distance. The results from the research provide empirical evidence that temporal distance can have impact on individuals’ preference of the types of donation resources. Given that the features of donation resources can be related temporal distance, this research can shed light on how temporal construal theory can be used in charitable-giving contexts. Additionally, while considerable number of temporal construal studies have investigated the impact of the match effect on the attitude toward a brand, this study explores the role of attitude toward the organization on the interaction effect of temporal distance and construal levels. The findings from this study can provide an opportunity for better understanding of temporal construal theory.

Introduction The Fourth Industrial Revolution brings a great change in the retail market through combining new digital technologies, such as data clouding, Artificial Intelligence, and Virtual Reality(VR) technology. The Alibaba group, which is in charge of 90% market share in China, announced a new Virtual Reality (VR) shopping mall, Buyplus, and Alibaba expected that VR will improve shoppers’ engagement and will experience the joy of shopping mall at home. The potential power of VR shopping mall in Korea is recently acknowledged by the Korean government and Korean government developed the full scale VR shopping mall for the first time in Korea. The VR shopping mall is expected to be a new paradigm of distribution channel industry by incorporating some advanced digital technologies. Conceptual Background In previous study, Pelet et al. (2017) investigated the optimal flow experience enhanced by the telepresence in social media. The overall flow provides a unique immersion experience for social media users, also the frequency of use and time distortion were affected during the use of the system. Choi and Choi (2016) conducted a study and they showed that telepresence was one of the important factors in the new technology-based marketing environment. Limioid Theory is explaining a psychological process when user enters into a new situation. Users have to decide how to expand and act on their own in a new situation, so users quickly fall into new situation and want to transit successfully (Huang & Liao, 2017). Virtual Reality shopping with new technology will bring a new marketing paradigm in the future. The purpose of this study is to analyze users’ telepresence and other underlying factors of behavioral intention of VR shopping. To achieve this primary goal, first, we investigated the factors of VR shopping psychology—such as telepresence, challenge, body ownership, and control for VR shopping. We also tried to investigate the factors of perceived value VR shopping - such as playfulness and usefulness by applying the Flow Theory and Virtual Liminoid Theory. Second, we analyzed the relationships between the factors of perceived value and the behavior intention VR shopping by applying the Technology Acceptance Model (TAM). This study suggests the moderating effects of technology readiness and time distortion between telepresence and playfulness. Model Testing and Conclusion In this study, we developed the virtual reality supermarket which is operated by headmounted VR glasses and body sensors with the help of VR technology start-up company. Total 120 university students participated and experienced the VR shopping. By using the structural equation model, research hypotheses were tested and most research hypotheses were statistically significant and accepted. The final research model also showed the statistical significance with the goodness-of-fit indices. We tried to analyze the moderating effects of time distortion and technology readiness between telepresence and playfulness. We also found that there is a moderating effect of time distortion between body control and playfulness. As a result of model testing, we found that playfulness and usefulness are the major mediators between the underlying factors of VR shopping and behavioral intention of VR shopping. The results of this study about VR shopping explain how retail and marketing managers can operate VR shopping store in the technology-based future retail environment. The managerial implications of the study results for the corporate marketing managers and the limitations of the study were also discussed.

With the increasing prevalence of smartphones, marketers have a keen interest in the mobile channel hoping to enhance the effectiveness of marketing activities and improve sales performance. Prior research on mobile marketing examines for example, coupon redemption, time sensitivity, and message optimization, and find that marketing activities and the corresponding performance should be understood based on contexts in which such actions are employed. Following this stream of research, we focus on the context in which consumers interact with mobile phones, and evaluate the role of real-time mobile coupons in driving e-commerce interest. To this end, we collaborate with an online retailer selling beauty products as well as a credit card company distributing mobile coupons on behalf of the online retailer. Target customers are selected using prior usage of credit cards such as category preference and spending amount. When SMS texts are being sent to smartphones with transaction confirmation, mobile coupons are attached to such texts in order to induce target consumers to sign up for the online retailer. Thus our data comes from two sources. The credit card company provides transaction information along with demographics and the online retailer track consumers’ behavior in log and purchase data. Our empirical analyses suggest that real-time contexts matter in determining the effectiveness of mobile coupons. To be specific, consumers who have just spent a small amount of money show a greater propensity to redeem the coupons despite small rewards. Also, heavy users of e-commerce tend to be more responsive to the coupons promoting the online retailer whereas those with large spending on beauty products are less likely to sign up. We discuss theoretical contributions of these findings and offer practical insights.

This study aimed to investigate the changes in the γ-aminobutyric acid (GABA) content of bitter melon (Momordica charantia L.) cultivated from different regions, with different harvest times and at various maturation stages. Methods for observing the changes in GABA content were validated by determining the specificity, linearity, limit of detection (LOD), limit of quantification (LOQ), and precision and accuracy using the HPLC-FLD system. Results showed high linearity in the calibration curve with a coefficient of correlation (R2) of 0.9999. The LOD and LOQ values for GABA were 0.29 and 0.87 μg/mL, respectively. The relative standard deviations for intra- and inter-day precision of GABA were less than 5%. The recovery rate of GABA was in the range of 98.77% to 100.50%. The average content of GABA was 0.93 mg/g and Cheongju showed highest GABA content of 1.88 mg/g. As the time of harvest increased from May to September, the GABA content decreased from 1.56 to 0.86 mg/g. Also, maturation of the bitter melon fruit was associated with a decreased in GABA content.

The Korean buffet restaurant, which was developed by combining the Korean food and a buffet, allows a large menu to be enjoyed at a reasonable price and has become popular with men and women, young and old, and become a new type of eating out. This study examined the effects of the waiting time management and menu quality on the customer satisfaction and re-visit intention in a Korean buffet restaurant to help quality improvement and development of Korean buffet restaurants. The customer satisfaction and re-visit intention only had a significant effect on the staff attitude toward waiting time. Hygiene, sensory factor, and variety of menu quality were significantly related to customer satisfaction and revisit intention, respectively. In addition, satisfaction with food and service had a significant effect on the re-visit intention and customer satisfaction. Therefore, it is important to establish a virtuous cycle structure that will improve the re-visit intention by satisfying customers through waiting time management and menu quality for the development of Korean buffet restaurants.

본 연구에서는 강풍에 의한 연안 용승 및 섬효과를 구체적으로 파악하기 위해서 춘계 강한 저기압 통과 전후를 대상으로 위성자료, 해양환경 및 물리적인 수직 구조와 함께 식물플랑크톤의 군집구조를 파악하였다. 5월 3일 강한 저기압이 통과하면서 남풍계열의 바람이 우점하였고, 10일 정도의 시간차를 둔 5월 12일에는 동한난류가 이동한 경로주 변해역에서 높은 엽록소값이 관찰되었다. 식물플랑크톤 수평적 군집조성은 동한난류의 영향을 강하게 받은 울진 연안과 울릉도 사이의 정점에서는 규조류가 극히 높은 밀도로 우점하였고, 상대적으로 외양인 울릉도와 독도 섬주변에서는 섬효과에 의하여 침편조류 H. akashiwo가 높은 개체수를 유지하였다. 엽록소의 수직적 분포는 울진에서 울릉도로 이어지는 정점에서 엽록소 아표층극대 (Sub-surface Chl-a Maximum)가 20 m 층에서 관찰되었고, 울릉도와 독도 섬주 변의 대부분 정점에서는 30~40 m 층까지 전 수층에 걸쳐 균일하게 높은 엽록소 형광값이 관찰되었다. 이는 섬효과에 의하여, 강한 수층혼합이 일어난 것을 의미하고, 그 결과 유광층 상부에 공급된 영양염류에 의하여 식물플랑톤이 대발생하였다. 결과적으로 춘계 한반도 남동해역 (울진-울릉도-독도) 에서는 남풍계열의 바람이 우점하면, 연안 용승이 발생할 수 있고, 이는 식물플랑크톤의 대발생에 중요한 역할을 하는 것 으로 관찰되었다. 아울러, 동해 연안해역에서 기인된 식물플 랑크톤은 동해 중앙 및 남서해역으로 공간이동하면서 울릉도-독도의 섬효과와 함께 동한난류의 사행, 소용돌이의 발달 등에 따라서 종조성이 다르게 나타날 가능성을 시사하였다.

본 연구에서는 가변 통기성 스마트 의류의 제작을 위해 필요한 형상기억합금 액추에이터의 작동 조건을 파악하였다. 의복의 개방, 폐쇄와 같은 양방향 작동 시 형태 변형 시에만 전력을 소모하는 저전력 소모 액추에이터 개발을 위해 복수 채널의 일방향 형상기억합금을 이용하여 스위치로 작동되는 액추에이터를 설계하였으며 가장 효율적으로 작동할 수 있는 와이어의 직경과 전압인가 단위시간을 도출하였다. 선행연구 결과 도출된 양방향 작동이 가능한 일방향 형상기억합금의 직경 범위 내에서 Arduino 스위치를 제작하여 3.7V 전압인가 시 변화량을 분석한 결과 0.4Φ의 액추에이터가 가장 적합한 것으로 나타났다. 0.4Φ 형상기억합금와이어를 사용한 양방향작동 액추에이터의 개방, 폐쇄에 필요한 최적전압인가 시간을 도출하기 위해 액추에이터의 최대개방, 최소폐쇄 도달 전압인가 시간으로부터 50ms씩 감소, 증가 시키며 냉각 후 액추에이터의 내경을 비교하는 방식으로 측정한 결과 개방 동작에 필요한 최적 전압인가 단위시간은 4,100ms로 나타났다. 각 채널간의 발열에 의한 간섭을 최소화하기 위한 양방향간 작동 시 필요 딜레이 분석을 위해 상온에서 형상기억합금에 최적 전압입가 시간인 4.1초 동안 전원을 공급하고 가열 후 냉각까지의 과정을 열화상카메라로 촬영하여 형상기억합금 와이의 온도가 냉각시의 상변태온 이하로 하강하는 시점을 파악한 결과, 액추에이터의 양방향간 작동 딜레이는 1.8초 이상이 확보되어야 함을 파악할 수 있었다.

This study estimated the effect of sowing and harvesting dates on dry matter (DM) yield and feed value of forage oats at Sancheong, Korea. The forage oats (Darkhorse vs. Highspeed) were used in this experiment. The experimental main plots consisted of the different sowing and harvesting dates at 2 seasons as follows: spring oats of sowing (February 25, March 3 and March 13) and harvesting (May 27, June 6 and June 16); and fall oats of sowing (August 15, August 25 and September 4) and harvesting (October 15, October 25 and November 4). On spring oats, Highspeed sown on March 3 and then harvesting on June 6 had the highest (p<0.05) plant length and DM yield. Crude protein content decreased (p<0.05) in seed of the delayed-harvesting Highspeed. On fall oats, plant length and DM yield with the delayed-harvesting date increased (p<0.05), while crude protein content of the delayed-harvesting Highspeed decreased (p<0.05). This study concluded that the spring oat sown in early March and then harvesting in early June was recommended to increase dry matter and feed value although the fall oat sown in end August and then harvesting in early November was recommended for fall period.

This study was conducted in 2014 in the Gangjin area of Jeonnam province for the purpose of confirming the potential of Kenaf as an alternative feed crop of rice. The weather and soil conditions were favorable and there was no adverse effect on the growth of Kenaf. The amount of seeding was given at 10 kg, 15 kg and 20 kg. As the seeding volume increased, plant height and dry matter yield increased, and stem diameter and number of nodes decreased. The highest growth rate was observed between 75 and 90 days from the date of planting(p<0.05). As the growth progressed, stem rate increased and leaf rate decreased(p<0.05). Increased amount of seeding and growth resulted in decreased CP and TDN and increased ADF and NDF, which resulted in the decreased economic value of Kenaf as a feed crop. The result of increasing the use of organic fertilizer to 20 kg and 30 kg was similar to increasing the amount of seeding. As organic fertilizer usage increased, dry matter yield and growth rate improved(p<0.05).

본 연구는 소비자의 선호 촉감을 고려한 세면용 타월 개발에 도움을 주고자 수행되었다. 타월의 바탕조직은 동일하지만(면섬유), 파일을 구성하는 섬유의 종류가 서로 다른 3종(면 100%, 면 50% / 대나무 50%, 대나무 100%)을 시료로 선정하였다. 타월을 표준 세탁조건으로 반복세탁을 실시하였으며, 10회 세탁한 타월에 대하여 섬유유연제를 처리하여, 세탁에 따른 유연성과 흡수성(흡수속도와 흡수율) 등의 성능 변화를 고찰하고 대학생 남녀 소비자를 대상으로 주관적 감각과 촉감 선호도를 평가시켰다. 세탁횟수와 파일섬유의 종류에 따라 타월의 유연성은 유의한 차이를 보이지 않았다. 타월의 흡수성은 세탁에 따른 파일섬유의 종류에 따라 유의한 차이를 보여, 흡수속도는 대나무섬유 100%로 된 타월에서 높았으나, 흡수율은 면섬유로 된 타월이 높았다. 세탁 전 타월의 파일섬유 종류에 따른 주관적 감각 평가는 유의한 차이가 없었다. 세탁이 반복될수록 파일섬유의 종류에 따른 주관적 감각은 유의한 차이를 보였으며, 섬유유연제 처리시 더 부드럽고 매끄러우며 촉촉해진다고 평가하였다. 세탁 전 타월에 대한 촉감 선호도는 선호하는 편이었으나, 파일섬유 종류에 따른 유의한 차이는 없었다. 세탁횟수가 증가함에 따라 타월에 대한 촉감 선호도는 다소 저하되었으며, 대나무섬유로 된 타월의 촉감을 가장 선호하였다. 타월의 촉감 선호도에는 평활감, 유연감 등의 주관적 감각과 섬유유연제 처리가 영향을 주었다

벼 이앙기별 인산에 의한 논조류 발생과 제초제에 의한 방제 효과는 다음과 같다. 1. 단작 및 이모작 벼 재배지에서 총출현 종수는 61종으로 녹조류 34종, 규조류 16종, 유글레나 7종, 그리고 남조류 4종이 발생하였고, 녹조류, 규조류는 이모작지가 많았고, 유글레나는 같았으며 남조류는 단작이 많았다. 2. 인산을 이앙전에 50%처리하고 분얼기에 50% 시비하였을 때 총인이 0.06 mg L-1로 가장 높았고, 조류 발생량도 무인산 대비 6월 6일 이앙한 구에서 14.8 mg 20 ml-1으로 3배 이상, 6월 20일에 이앙한 구에서 9.8 mg 20 ml-1 2배 이상 증가하였다. 3. 벼 생육단계별 분얼기, 유수형성기, 그리고 수잉기의 토양 인산의 함량은 관행 및 인산분시별로 유수형성기가 인산의 함량이 116.5~191.8 mg kg-1으로 가장 높은 경향이었으며 무 처리구에서는 15.5~29.1 mg kg-1로 낮았다. 이앙시기별로는 이앙이 빠를수록 높은 경향이었으며, 인산분시별로는 관행에 비해 분시하였을 때 높은 경향을 보였다. 4. 클로로필-a 함량은 6월 6일 이앙한 구에서는 제초제 처리 후 7일에 가장 낮은 6.3 mg m-3 이고, 7월 상순에 무처리구에서 75.8 mg m-3 로 가장 높았다. 6월 20일 이앙한 구에서는 제초제 처리후 7일에 가장 높은 경향이었으며 제초제 처리 후 14일과 21일은 감소하는 경향이었다 5. 논조류 억제율은 quinoclamine이 단작에서 59.2%, 이모 작에는 44.4%로 가장 높았으며, 다음으로 bromobutide + imazosulfuron + pyraclonil > benzobicyclon + mefenacet + peno xsulam >무처리 순이었다.

본 연구는 초등학생의 개임 및 오락 목적의 매체 이용 정도, 가족과의 대화시간, 삶의 만족도의 관계를 살펴보고, 초등학생의 삶의 만족도를 높이기 위한 개입 방안 마련의 기초자료를 제공하는데 있다. 이를 위해 경기도 의정부에 소재한 초등학교에 재학 중인 고학년을 대상으로 눈덩이 표집방법에 의해 설문조사를 하였다. 그 중 277명을 한국청소년 정책연구원(2015)에서 사용한 게임 및 오락 목적의 매체 이용 정도, 가족과의 대화 시간과 삶의 만족도 척도로 각 변인을 측정하고, 독립표본 t-검증, 상관관계분석을 실시하였다. 그 결과, 게임 및 오락 목적의 매체 이용이 남학생이 여학생보다 높았고, 가족과의 대화시간은 여학생이 남학생보다 많았다. 게임 및 오락 목적의 매체 이용 정도는 가족과의 대화 시간과 부적 상관관계를 나타냈고, 가족과의 대화시간과 삶의 만족도는 정적 상관관계를 나타냈다. 즉 게임 및 오락 목적의 매체 이용은 가족과의 대화 시간을 줄어들게 만들고, 가족과의 대화 시간이 증가하면 삶의 만족도는 증가하는 것으로 나타났다. 따라서 초등학생을 대상으로 가족과의 대화시간을 증가시키기 위해 게임 및 오락 목적의 매체 이용을 가정과 학교, 지역사회에서 관심을 갖고 자가조절이 가능하도록 교육과 지원이 요구된다.

소비자들의 구매 욕구를 충족시키기 위하여 상업시설에서는 판매와 관련된 다양한 공간표현이 요구되고, 소비자의 시선을 끄는 상품의 배치나 공간구성은 곧 마케팅 전략으로 이어질 수 있다. 사람의 눈은 가장 많은 정보를 획득하는 감각기관으로 시각정보에 대한 분석은 <공간과 사용자>의 상호간의 시각적 관련성을 파악할 수 있는데, 그간 연구에서는 실험이미지를 통해 정지된 화상에 대한 분석이 대다수 이며, 상업공간의 이동영상을 바탕으로 공간에 대한 시선정보를 분석한 연구는 미비하다. 이에 본 연구에서는 상업시설의 이동경로를 촬영한 동영상을 실험에 사용함으로써 공간분석에 있어 사실감이 부여된 공간 사용자 시선정보를 통한 감성반응을 분석하였다. 이동동선의 직선구간을 분석구간으로 설정하고, 획득된 데이터를 바탕으로 5개의 주시강도 범위에 대한 구간특성을 살펴본 결과, 이동동선의 시작점인 A구간(직선구간-1)에서는 주시강도가 낮게 나타났으며, B구간(직선구간-2)에서 가장 높은 주시강도가 나타난 것을 알 수 있다. 이는 피험자들의 B구간부터 안정적인 공간 탐색을 한 것으로 볼 수 있으며, 실험영상에 대한 적응시간이 필요한 것을 알 수 있다. 주시집중구역에 대한 공간특성을 살펴보면, 6개 구간 중 4개 구간에서 우측매장의 진열방식에 대한 시선의 집중이 더 높게 나타난 것을 알 수 있다. 소비자의 시선이 높게 머무른 요소는 소품위주로 시선이 유도되었으며, 매장 내 쇼케이스 같은 진열형식에 시선정보가 높게 나타난 것을 알 수 있다. 이러한 분석방법을 통해 소비자의 시선이 선호하는 상품진열방법, 상품요소 배치 등 직접적인 디자인 자료로 활용 가치가 높게 제공 될 수 있을 것으로 사료된다.

In this paper, we propose an Elman recurrent neural network to predict and analyze a time series of gas energy consumption in an air handling unit. To this end, we consider the volatility of the time series and demonstrate that there exists a correlation in the time series of the volatilities, which suggests that the gas consumption time series contain a non-negligible amount of the non-linear correlation. Based on this finding, we adopt the Elman recurrent neural network as the model for the prediction of the gas consumption. As the simplest form of the recurrent network, the Elman network is designed to learn sequential or time-varying pattern and could predict learned series of values. The Elman network has a layer of “context units” in addition to a standard feedforward network. By adjusting two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicts the gas consumption with the relative errors and the average errors in the range of 2%~5% and 3kWh~8kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric and the gas energies.

Structure behaviors resulting from an earthquake are experimentally simulated mainly through a shaking table test. As for large-scale structures, however, size effects over a miniature may make it difficult to assess actual behaviors properly. To address this problem, research on the hybrid simulation is being conducted actively. This method is to implement numerical analysis on framework members that affect the general behavior of the structure dominantly through an actual scale experiment and on the rest parts by applying the substructuring technique. However, existing studies on hybrid simulation focus mainly on Slow experimental methods, which are disadvantageous in that it is unable to assess behaviors close to the actual level if material properties change depending on the speed or the influence of inertial force is significant. The present study aims to establish a Real-time hybrid simulation system capable of excitation based on the actual time history and to verify its performance and applicability. The hybrid simulation system built up in this study utilizes the ATS Compensator system, CR integrator, etc. in order to make the target displacement the same with the measured displacement on the basis of MATLAB/Simulink. The target structure was a 2-span bridge and an RC pier to support it was produced as an experimental model in order for the shaking table test and Slow and Real-time hybrid simulations. Behaviors that result from the earthquake of El Centro were examined, and the results were analyzed comparatively. In comparison with the results of the shaking table test, the Real-time hybrid simulation produced more similar maximum displacement and vibration behaviors than the Slow hybrid simulation. Hence, it is thought that the Real-time hybrid simulation proposed in this study can be utilized usefully in seismic capacity assessment of structural systems such as RC pier that are highly non-linear and time-dependent.

Three CNN (Convolutional Neural Network) models of GoogLeNet, VGGNet, and Alexnet were evaluated to select the best deep learning based image analysis mothod that can detect pavement distresses of pothole, spalling, and punchout on expressway. Education data was obtained using pavement surface images of 11,056km length taken by Gopro camera equipped with an expressway patrol car. Also, deep learning framework of Caffe developed by Berkeley Vision and Learning Center was evaluated to use the three CNN models with other frameworks of Tensorflow developed by Google, and CNTK developed by Microsoft. After determing the optimal CNN model applicable for the distress detection, the analyzed images and corresponding GPS locations, distress sizes (greater than distress length of 150mm), required repair material quantities are trasmitted to local maintenance office using LTE wireless communication system through ICT center in Korea Expressway Corporation. It was found out that the GoogLeNet, AlexNet, and VGG-16 models coupled with the Caffe framework can detect pavement distresses by accuracy of 93%, 86%, and 72%, respectively. In addition to four distress image groups of cracking, spalling, pothole, and punchout, 22 different image groups of lane marking, grooving, patching area, joint, and so on were finally classified to improve the distress detection rate.

This study suggested a new real-time traffic signal operation algorithm using combined data of travel time and occupancy rate. This study applied the travel time data to traffic signal control system, and developed the signal operation algorithm based on saturation degree that was calculated using the travel time data. This algorithm calculates a queue length using a delay model, and converts the queue length to the saturation degree. Moreover, it calculates signal timing variables using this combined saturation degree. This study conducted a microscopic simulation for effectiveness evaluation. We checked that the average intersection delay decreased by up to 27 percent. Moreover, we checked that this signal operation algorithm could respond to a traffic condition of oversaturation and loop detector error effectively and usefully. In korea, sectional traffic detection systems are being installed in various ITS projects, such as Advanced Transportation Management System(ATMS) and Urban Transportation Information System(UTIS). This study has important significance in the sense that it is new methodology to accept the sectional detection system in traffic signal control system.