• 한국환경보건학회지
• /
• 제43권5호
• /
• pp.438-445
• /
• 2017

Objectives: The purpose of this study was to develop exposure factor data for the Korean child population, with a specific focus on behavior characteristics such as hand-to-mouth and object-to-mouth and an analysis of influential factors. Methods: We divided environments into two places, which were house/indoor and nursery. A total of 400 children (house/indoor) and a total of 162 children (nursery) were recruited from the cities of Seoul, Incheon, Daegu, and Gwangju. The children were divided into two groups. We conducted direct measurement by using one hour of videotaping alongside questionnaire surveys. This was performed to calculate behavior rates, such as how many children perform hand-to-mouth and object-to-mouth behaviors. Results: The respective average frequencies of hand-to-mouth and object-to-mouth were $0.8{\pm}2.23$ and $0.82{\pm}2.64contacts/hr$ for house/indoor. The respective average frequencies of hand-to-mouth and object-to-mouth were $2.87{\pm}4.63$ and $1.47{\pm}3.84contacts/hr$ in the nursery group. For the mouthing participants, the average frequencies of hand-to-mouth and object-to-mouth were 3.31 and 3.20 contacts/hr in house, and 4.80 and 3.26 in nursery. Compared to other countries such as the USA, the frequencies of hand-to-mouth and object-to-mouth behaviors found in this study were relatively lower. Conclusions: Children have the potential for exposure to toxic substances through non-dietary ingestion pathways by mouthing objects or their fingers. In this study, the mouthing frequency was relatively lower than that found in Western countries. This can be explained that mouthing behaviour may be affected by culture and lifestyle characteristics.

• 한국산업융합학회 논문집
• /
• 제24권6_2호
• /
• pp.707-713
• /
• 2021

Symptoms of foot-and-mouth disease include fever and drooling a lot around the hoof, blisters in the mouth, poor appetite, blisters around the hoof, and blisters around the hoof. Research is underway on smart barns that remotely manage these symptoms through cameras. Visible light cameras can measure the condition of livestock such as blisters, but cannot measure body temperature. On the other hand, infrared thermal imaging cameras can measure body temperature, but it is difficult to measure the condition of livestock. In this paper, we propose an object detection system using deep learning-based livestock detection using visible and infrared thermal imaging composite camera modules for preemptive response

• 패션비즈니스
• /
• 제13권5호
• /
• pp.110-120
• /
• 2009

The goal of this study was to investigate the influence of customer service quality on customer satisfaction. Also the object of this study is to indicate the influence on word of mouth and intention of repurchase which is a variable of customer satisfaction. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data was analyzed by percentage, frequency, mean, factor analysis, reliability, regression using the SPSS program. The five hypotheses set in the research model, all were selected through empirical analysis. Main findings are as follows: As a result of factor analysis, customer service quality of discount store verified four items, that is, personal service, VMD of stores/atmosphere, store policy, product assortment. As a result of regression analysis, customer service quality influenced customer satisfaction. The intention of repurchase and word of mouth received a positive influence from customer satisfaction. The intention of repurchase influenced the word of mouth, and it received a positive influence from the word of mouth.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권12호
• /
• pp.481-490
• /
• 2020

Batik industry is a business activity oriented towards customer loyalty and is demanded to show an increasing diversity of products with various motives designed to prevent customers from moving to other companies. Therefore, the purpose of this study is to develop a theoretical approach in solving problems in the relationship between service quality and product diversity on satisfaction and word of mouth (WoM) and its impact on customer loyalty. Furthermore, this study also examined the mediating effects of satisfaction and WoM in the relationship between service quality and product diversity on customer loyalty. This research's object took the customers of Batik Semarangan Craftwork, Indonesia, with the phenomenon of always developing creative and innovative Batik motif designs that can be accepted by the market without leaving Semarang's uniqueness. The total sample was 98 customers. The results of the study showed that service quality and product diversity positively affected satisfaction and WoM and had a positive effect on customer loyalty. Besides, satisfaction and WoM had a mediating effect on the effect of service quality and product diversity on loyalty. Thus, it is essential for management to create and increase customer loyalty by paying attention to service quality, product diversity, satisfaction, and WoM.

• 한국멀티미디어학회논문지
• /
• 제10권12호
• /
• pp.1566-1576
• /
• 2007

Camera pose information from 2D face image is very important for making virtual 3D face model synchronize with the real face. It is also very important for any other uses such as: human computer interface, 3D object estimation, automatic camera control etc. In this paper, we have presented a camera position determination algorithm from a single 2D face image using the relationship between mouth position information and face region boundary information. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into $YC_bC_r$ color space and use the visible chrominance feature of face in this color space to detect human face region. And then for face candidate, use the nearly reversed relationship information between $C_b\;and\;C_r$ cluster of face feature to detect mouth position. And then we use the geometrical relationship between mouth position information and face region boundary information to determine rotation angles in both x-axis and y-axis of camera position and use the relationship between face region size information and Camera-Face distance information to determine the camera-face distance. Experimental results demonstrate the validity of our algorithm and the correct determination rate is accredited for applying it into practice.

• 유통과학연구
• /
• 제15권8호
• /
• pp.75-86
• /
• 2017

Purpose - The online-to-offline (O2O) business model has brought considerable changes to the traditional Chinese business model. The main difference between O2O and pure online consumption is that O2O offers a richer experience and word-of-mouth. it is easier to trigger online word-of-mouth. However, few scholars have been concerned about the impact of experiential value on customer satisfaction and online word-of-mouth (e-WOM) in the study of O2O. This study takes the O2O business model in China's catering industry as its research object and uses structural equation modelling to analyze the impact of online and offline experiential values on customer satisfaction and e-WOM. Research design, data, and methodology - According to previous researches, consumer experiential value is mainly divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. According to the characteristics of O2O in China's catering industry, this study divides the online experience value into efficiency and economy (return on investment). The offline part is divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. Using a web-based survey, we collected 303 valid samples. Structural equation modelling was used to create the research model. Results - The results show that efficiency (online) and service excellence (offline) have a significant effect on customer satisfaction. Economics (online) and playfulness (offline) have a positive impact on customers' e-WOM. In addition, the higher the customer satisfaction, the greater the positive impact on the spread by word of mouth. However, aesthetic(offline) and return on investment(offline) have no significant impact to customer satisfaction and e-WOM. Conclusions - The study findings show that the key to boost customer satisfaction in the catering industry is to improve product quality and service. Although traditional competitive strategies such as online discount have been questioned by many scholars about their decreasing effectiveness, they are indispensable means to attract online traffic and trigger e-WOM. The traditional enterprises can reconstruct traditional business processes through the O2O model to effectively improve customer satisfaction and word of mouth by improving the experiential value of economy and efficiency. Additionally, it can be used as the natural advantages of online communication to induce customers to engage in word of mouth and attract more potential customers.

• 한국환경보건학회지
• /
• 제40권1호
• /
• pp.17-26
• /
• 2014

Background: Despite children's unique characteristics that distinguish them from adults, relatively few attempts have been made to measure exposure factors for characterization of children's exposure to hazardous chemicals in child-specific products (CSP). This study was conducted to establish the child-specific exposure factors for exposure and risk assessment of hazardous substances in CSP. Methods: We investigated the exposure factors (e.g., time use of child-products, time and frequency of object-to-body contact, time and frequency of object-to-mouth contact) influencing children's exposure to CSP (e.g., toys, playmats, oil pastels, etc.) in 650 children through a parent-completed questionnaire using a web-based survey. Participants were recruited in five age groups, <1, 1-2, 2-3, 3-6, and 6-12 years of age. Results: The child-specific exposure factors were presented as the mean, median, $95^{th}$ percentile, minimum, and maximum values. Time activity for play mats was the longest among CSP and infants spent more time on them than did elder age groups (189.3-224.7 min/day for <1-2 years vs. 91.2 min/day for 6-12 years). It is apparent that time and frequency of toy block- and plastic toy-to-mouth contact significantly decreased as a function of age. When the variation of CSP use patterns was compared by gender, the only variable that was statistically different between genders was time activity in child-products exposure space. Conclusion: We believe the five child-specific exposure factors suggested in the present study will be valuable for reducing uncertainty in the estimation of chemical exposure during risk assessment of CSP and furthermore, in the appropriate regulations to protect children's health.

• 한국조리학회지
• /
• 제9권3호
• /
• pp.197-211
• /
• 2003

It is widely agreed that customers' purchase are strongly influenced by their emotions. despite the obvious importance of eliciting positive emotional responses from customers, we find no record that family restaurants have ever measured or used customers' emotions as a management tool. This study aimed to verify the importance of the customers' emotion in the relational performance of family restaurant business. In order to achieve the object of the study, the effect of emotional factors on service satisfaction, revisit, word-of-mouth were analysed. The data were collected from 450 customers who had visited five family restaurants in Seoul more than once during the last three months from September 20 to October 5, 2002. Emotional variables in service experience process were grouped as three factors; in the middle of having food, in entering and leaving restaurant and in the waiting line. It is proved that customers had different emotions in each process of family restaurant service experience. Multiple regression analysis was employed to explore the influence of three emotional factors on relational performances such as satisfaction, revisit and word-of-mouth. It was found that customers were influenced by emotional factors in entering and leaving restaurant, secondly influenced in the waiting line and least influenced in the middle of having food. Finally, the findings indicated that customers' emotional factors in whole service experience process from entering to leaving the restaurant should be successfully cared by service staff. Future research is recommended to find out which specific emotional factors affected on relational performance of family restaurant.

• 한국컴퓨터정보학회논문지
• /
• 제16권10호
• /
• pp.53-62
• /
• 2011

본 논문에서는 첨단 IT융,복합기술의 발달로 특수 기술로만 여겨졌던 영상객체인식 기술분야가 스마트-폰 기술의 발전과 더불어 개인 휴대용 단말기기로 발전하고 있다. 3D기반의 얼굴인식 검출기술은 객체인식 기술을 통하여 지능형 영상검출 인식기술기술로 진화되고 있음에 따라 영상인식을 통한 얼굴검출기술과 더불어 개발속도가 급속히 발전하고 있다. 본 논문에서는 휴먼인식기술을 기반으로 한 얼굴객체인식 영상검출을 통한 얼굴인식처리 기술의 인지 적용기술을 IP카메라에 적용하여 인가자의 입,출입등의 식별능력을 적용한 휴먼인식을 적용한 얼굴측정 기술에 대한 연구방안을 제안한다. 연구방안은 1)얼굴모델 기반의 얼굴 추적기술을 개발 적용하였고 2)개발된 알고리즘을 통하여 PC기반의 휴먼인식 측정 연구를 통한 기본적인 파라미터 값을 CPU부하에도 얼굴 추적이 가능하며 3)양안의 거리 및 응시각도를 실시간으로 추적할 수 있는 효과를 입증하였다.

• 한국멀티미디어학회논문지
• /
• 제22권2호
• /
• pp.136-145
• /
• 2019

The crowded environment of a domestic pig farm is highly vulnerable to the spread of infectious diseases such as foot-and-mouth disease, and studies have been conducted to automatically analyze behavior of pigs in a crowded pig farm through a video surveillance system using a camera. Although it is required to correctly separate occluding pigs for tracking each individual pigs, extracting the boundaries of the occluding pigs fast and accurately is a challenging issue due to the complicated occlusion patterns such as X shape and T shape. In this study, we propose a fast and accurate method to separate occluding pigs not only by exploiting the characteristics (i.e., one of the fast deep learning-based object detectors) of You Only Look Once, YOLO, but also by overcoming the limitation (i.e., the bounding box-based object detector) of YOLO with the test-time data augmentation of rotation. Experimental results with two-pigs occlusion patterns show that the proposed method can provide better accuracy and processing speed than one of the state-of-the-art widely used deep learning-based segmentation techniques such as Mask R-CNN (i.e., the performance improvement over Mask R-CNN was about 11 times, in terms of the accuracy/processing speed performance metrics).