• 제목/요약/키워드: Tourism System

검색결과 747건 처리시간 0.037초

산악열차 운행에 관한 연구 (A Study on a mountain train operation)

  • 손영진;정수영;이종성
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.632-642
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    • 2007
  • 우리나라는 남북간 거리가 약 1,200km, 동서간 거리가 약 840km인 반도국가이다. 이 국토의 철도교통 인프라로 고속열차 KTX와 장거리용 일반열차, 그리고 대도시 지하철이 있을 뿐이다. 전 국토의75%가 산악지역에 분포된 우리나라에 관광 및 지역간 교통 수송을 담당하는 산악열차가 아직 운행되지 않고 있다는 것은 아쉬운 점이다. 국토 균형 발전 정책과 철도 인프라 구축 우선 정책의 원칙을 고려하여, 우선 3호선 구파발 역에서 북한산을 경유하고 4호선 쌍문 역 구간을 운행하는 산악열차를 건설한다면 관광 측면은 물론 서울의 서북지역과 동북지역을 관통하는 지선 역할 측면에서 모범이 될 수 있다고 본다. 설계, 건설, 운영의 친환 경성도 확보될 수 있음은 물론이다.

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Ubiquitous Sensor Network 기반 산악조난구조시스템 구현에 관한 연구 -계룡산국립공원을 중심으로- (A Study on Realization of Mountain Search and Rescue System based on Ubiquitous Sensor Network - A Case Study of Kyeryongsan National Park -)

  • 심규원;이주희
    • 한국산림과학회지
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    • 제96권1호
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    • pp.70-76
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    • 2007
  • 본 연구의 목적은 유비쿼터스 센서 네트워크 기반 산악조난구조시스템의 산악지형 적용 가능성을 평가하기 위하여 수행되었다. 이를 위하여 본 연구에서는 계룡산국립공원 동학사 탐방로 코스의 은선폭포에서 관음봉 구간에 10대의 산악조난구조시스템을 설치하여 조난구조 요청 신호의 송 수신율과 유비쿼터스 센서 네트워크의 안전성 파악을 위한 현장조사를 실시하였다. 조사결과 데이터 수신율은 최소 90.0% 이상으로 매우 높게 나타났으며, 유비쿼터스 센서 네트워크의 안전성 검증을 위해 설치된 10대의 조난구조시스템의 2개의 센서 중 1개의 센서를 임의로 오작동 상태로 설정하여 측정한 결과 데이터 수신율이 매우 안정적인 것으로 나타났다.

고래 사운드 재생 시스템 구현 (System Realization of Whale Sound Reconstruction)

  • 정의필;전서윤;홍정필
    • 융합신호처리학회논문지
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    • 제20권3호
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    • pp.145-150
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    • 2019
  • 본 논문에서는 가중치를 고려한 L2-norm 최소화 기법으로 역 MFCC 알고리듬을 이용하여 고래 사운드 재생 시스템을 구현하였다. 고래소리 콘텐츠와 3D 프린팅을 결합하여 제작된 본 연구의 결과물은 고래관광 산업 및 멀티미디어 콘텐츠 산업에 기여를 하게 될 것이다. 먼저 다양한 고래 소리를 재생하는 소프트웨어를 개발하고 개발된 소프트웨어를 3D 프린팅된 고래의 내부에 있는 라즈베리 파이 하드웨어에 업로드한다. 이 시스템을 개발하는데 사용된 프로그래밍 언어는 고래소리분류를 위한 C++, 고래 소리 재생 알고리즘을 위한 MATLAB 및 Python, 고래 모형의 3D 프린팅을 위한 Rhino 6 등이다.

Improvement Plan for Safety Management System related to Kids Cafe

  • Jeong, Myeong-jin;Lee, Myeonggu
    • International Journal of Advanced Culture Technology
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    • 제8권4호
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    • pp.183-188
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    • 2020
  • As the number of kids cafes, one of the children's playgrounds, is increasing rapidly, safety accidents in the kids cafe are also increasing rapidly. The facility is also increasing as the need increases, but it is spreading without ensuring safety. In particular, the Ministry of Public Administration and Security for children's play facilities in the kids cafe, and the Ministry of Culture, Sports and Tourism for organic organizations are divided into different departments, so it is not easy for local governments to manage and supervise the actual business, and there are safety blind spots. Kids cafes have changed rapidly according to needs of children and guardians who are users, and there are many problems associated with them. Therefore, we identified problems that may arise due to insufficient safety management systems for kids cafes, investigated the safety management related to kids cafes in advanced countries, and compared and analysed them with domestic systems. As a result of the research, we proposed a safety management reinforcement system, and we hope to contribute to the reduction and prevention of kids café safety accidents.

A Study on Algorithm Selection and Comparison for Improving the Performance of an Artificial Intelligence Product Recognition Automatic Payment System

  • Kim, Heeyoung;Kim, Dongmin;Ryu, Gihwan;Hong, Hotak
    • International Journal of Advanced Culture Technology
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    • 제10권1호
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    • pp.230-235
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    • 2022
  • This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

E-Healthcare와 AI & IoT 분야의 위성항법시스템 최신 활용 동향 (Trends in Utilization of GNSS for E-Healthcare and AI & IoT Field)

  • 김태윤;박희선;임종원;황석승
    • Journal of Positioning, Navigation, and Timing
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    • 제13권1호
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    • pp.15-23
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    • 2024
  • One of the core keywords in the fourth industrial revolution is convergence, and the convergence of the production, distribution, and consumption processes of services is particularly important. The convergence of user services is underway in various industrial fields including mobile communications, healthcare, mobility, artificial intelligence, etc. In order to offer these converged services efficiently, it is necessary to provide accurate user-centric location information, which can be obtained by employing the global navigation satellite system (GNSS). In addition, as we have entered the post-COVID era, the demand for various fields such as a healthcare, customized tourism services, and aviation services based on accurate location information is exploding. In this paper, we present the results of a case study on the current research trends of GNSS used in telemedicine services and AI & IoT fields, and also analyze these results.

패밀리레스토랑의 욕구체계 기반 고객가치가 고객만족, 행동의도에 미치는 영향: 4×4 매트릭스 욕구체계를 중심으로 (Needs-Based Customer Value Effects of Family Restaurants on Customer Satisfaction and Behavior Intention)

  • 김기수;심재현
    • 유통과학연구
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    • 제11권12호
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    • pp.51-62
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    • 2013
  • Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

빅데이터 기반 관광지 추천 시스템 구현 - 한국관광공사 LOD를 중심으로 - (Big Data based Tourist Attractions Recommendation - Focus on Korean Tourism Organization Linked Open Data -)

  • 안진현;김응희;김홍기
    • 경영과정보연구
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    • 제36권4호
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    • pp.129-148
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    • 2017
  • 기존 전시회 정보 제공 서비스는 전시회가 열리는 장소 주변의 관광지를 추천한다. 이러한 위치기반 추천의 경우 전시회의 내용과 관련이 없는 관광지를 추천할 수 있다는 한계점이 있다. 전시회 내용과 관련된 관광지를 관람객에게 추천함으로써 전시회에서 획득한 지식을 관광지에서 경험하는 데에 도움을 줄 필요가 있다. 전시회 큐레이터들이 전시회 내용과 관련된 관광지를 일일이 찾아 추천하는 방법이 있지만, 수작업이다 보니 큐레이터가 가지고 있는 배경지식의 범위 내에서만 추천이 가능하다는 한계점이 있다. 수작업에 따른 오류가 있을 수도 있기 때문에 자동화된 방법이 필요하다. 본 연구에서는 언어자원 빅데이터를 활용하여 전시회 내용과 관련된 관광지를 자동으로 추천하는 방법을 제안한다. 언어자원으로는 한국관광공사 LOD(Linked Open Data), 위키피디아, 국립국어원 사전 등을 활용했다. 단일 컴퓨터로는 이러한 대용량 언어자원을 효율적으로 처리하기 어렵기 때문에, 클라우드 컴퓨팅 프레임워크인 아파치 스파크(Apache Spark)에 기반하여 구현했다. 사용자가 웹브라우저를 통해 전시회 정보를 열람하면 본 알고리즘에 의해 추천된 관광지들을 같이 보여주는 웹인터페이스도 구현했다(http://bike.snu.ac.kr/WARP). 주요 전시회에 대한 관광지 추천 정확도에 대해 전문가 평가를 진행했다. 기존 방법에 비해 본 논문에서 제안한 방법의 정확도가 더 높았다. 본 연구를 활용하면 전시회 큐레이터의 수작업을 줄여줄 수 있고 전시회 관람자들을 관광지로 자연스럽게 유도할 수 있기 때문에, 전시산업과 관광산업 모두에게 도움이 될 수 있다.

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우간다에서의 고급 정보통신기술 수용도 연구 : GIS/GPS 고릴라 추적 시스템 사례 (A Study on User Adoption of Advanced ICTs in Uganda : Focused on GIS/GPS Gorilla Tracking System)

  • ;황기현
    • 산업경영시스템학회지
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    • 제39권3호
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    • pp.192-203
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    • 2016
  • Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don't bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.

A Study on the Automated Payment System for Artificial Intelligence-Based Product Recognition in the Age of Contactless Services

  • Kim, Heeyoung;Hong, Hotak;Ryu, Gihwan;Kim, Dongmin
    • International Journal of Advanced Culture Technology
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    • 제9권2호
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    • pp.100-105
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    • 2021
  • Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.