• The Journal of Asian Finance, Economics and Business
• /
• 제8권8호
• /
• pp.443-451
• /
• 2021

The classification standards for hotels in Vietnam are different from many other hotel classification standards in the world. This study aims to analyze customer reviews on the TripAdvisor website to develop a new algorithm for hotel rating that is independent of Vietnam's hotel classification standards. This method can be applied to individual hotels, or hotels of a region or the whole country, while online booking sites only rate individual hotels. Data was crawled from TripAdvisor with 22,287 reviews of 5 cities in Vietnam. This study used a statistical model to analyze the review dataset and build an algorithm to rate hotels according to aspects or hotel overall. The results have less rating deviation when compared to the TripAdvisor system. This study also supports hotel managers to regularly update the status of their hotels using data from customer reviews, from which, managers can strategize long-term solutions to improve the quality of the hotel in all aspects and attract more travelers to Vietnam. Moreover, this method can be developed into an automatic system to rate hotels and update the status of service quality more quickly, thus, saving time and costs.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
• /
• pp.98-104
• /
• 2003

While the impact or internet on our everyday life keeps increasing, the internet users are turning toward the value added information only that suits their purpose instead of just wandering over a sea (pool) or information. Although it is easy to locate the information using various search engines. we still finds it time and cost consuming to update the existing information or to add similar Information. There are several portal sites managed by each industrial types or associations/organizations for the purpose or strengthening the competitiveness or small and medium-sized enterprises And currently, tremendous manpower and expenses are put into the selection and quality improvement or information to satisfy the needs toward the high qualify information by the specialized users in their fields collection and updating or the information is partially available manually during He period or budget allocation by the government it becomes problematic, however, to continue this service when the project expires. This report presents the system for the information collection, analysis and classification of portal sites operated for the special purposes and automatic upload to the proper sites. In addition. expression or web robots and application of robots and several information types are suggested which will eventually accomplish currency or information and automatic updates and addition or documents with the least expenses or maintenance.

• 국제학술발표논문집
• /
• The 5th International Conference on Construction Engineering and Project Management
• /
• pp.47-51
• /
• 2013

Existing buildings now represent the greatest opportunity to improve building energy efficiency. Building performance analysis is becoming increasingly important because decision makers can have a better visualization of their building's performance and quickly make the solution for improving building energy efficiency and reducing environmental impacts. Nowadays, building information models (BIMs) have been widely created during the design phase of new buildings, and it can be easily imported to third party software to conduct various analyses. However, a BIM is not always available for all existing buildings. Even if a BIM is available during the design and construction phases, it is very challenging to keep updating it while a building is aged. A manual process to create or update a BIM is very time consuming and labor intensive. A laser scanning technology has been a popular tool to create as-is BIM. However it still needs labor-intensive manual processes to create a BIM out of point clouds. This paper introduces automatic as-is simplified BIM creation from point clouds for energy simulations. A framework of decision support system that can assist decision makers on retrofits for existing buildings is introduced as well. A case study on a residential house was tested in this study to validate the proposed framework, and the technical feasibility of the developed system was positively demonstrated.

• 정보관리학회지
• /
• 제33권3호
• /
• pp.321-343
• /
• 2016

본 연구의 목적은 1) 소설 속 지명 데이터베이스(DB)를 구축하고, 2) 확장 가능한 지명 DB를 위해 자동으로 지명을 추출하여 데이터베이스를 갱신하며, 3) 데이터베이스 내의 소설지명과 용례를 검색하고 시각화하는 파일럿시스템을 구현하는 데 있다. 특히, 학습자료(training)에 해당하는 말뭉치(corpus)를 확보하기 어려운, 소설지명과 같이 현재 잘 쓰이지 않는 개체명을 자동으로 추출하는 것은 매우 어려운 문제이다. 효과적인 지명 정보 추출용 학습자료 말뭉치 확보 문제를 해결하기 위해 본 논문에서는 이미 수작업으로 구축된 웹 지식(어휘사전)을 활용하여 학습에 필요한 충분한 양의 학습말뭉치를 확보하는 방안을 적용하였다. 이렇게 확보된 학습용 코퍼스와 학습된 자동추출 모듈을 가지고, 새로운 지명 용례를 찾아 추가하는 지명 데이터베이스 확장 도구를 만들었으며, 소설지명을 지도 위에 시각화하는 시스템을 설계하였다. 또한, 시범시스템을 구현함으로써 실험적으로 그 타당성을 입증하였다. 끝으로, 현재 시스템의 보완점을 제시하였다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.79-82
• /
• 2005

Recently the necessity of road data is still being increased in industrial society, so there are many repairing and new constructions of roads at many areas. According to the development of government, city and region, the update and acquisition of road data for GIS (Geographical Information System) is very necessary. In this study, the fusion method with range data(3D Ground Coordinate System Data) and Intensity data in stand alone LiDAR data is used for road extraction and then digital image processing method is applicable. Up to date Intensity data of LiDAR is being studied. This study shows the possibility method for road extraction using Intensity data. Intensity and Range data are acquired at the same time. Therefore LiDAR does not have problems of multi-sensor data fusion method. Also the advantage of intensity data is already geocoded, same scale of real world and can make ortho-photo. Lastly, analysis of quantitative and quality is showed with extracted road image which compare with I: 1,000 digital map.

• 제어로봇시스템학회논문지
• /
• 제21권11호
• /
• pp.989-995
• /
• 2015

Due to the recent increase of the importance and demand of security services, the importance of a surveillance monitor system that makes an automatic security system possible is increasing. As the market for surveillance monitor systems is growing, price competitiveness is becoming important. As a result of this trend, surveillance monitor systems based on an embedded system are widely used. In this paper, an object detection algorithm based on an embedded system for a surveillance monitor system is introduced. To apply the object detection algorithm to the embedded system, the most important issue is the efficient use of resources, such as memory and processors. Therefore, designing an appropriate algorithm considering the limit of resources is required. The proposed algorithm uses two background models; therefore, the embedded system is designed to have two independent processors. One processor checks the sub-background models for if there are any changes with high update frequency, and another processor makes the main background model, which is used for object detection. In this way, a background model will be made with images that have no objects to detect and improve the object detection performance. The object detection algorithm utilizes one-dimensional histogram distribution, which makes the detection faster. The proposed object detection algorithm works fast and accurately even in a low-priced embedded system.

• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2007년도 추계학술대회
• /
• pp.294-299
• /
• 2007

In this paper, we introduce the methodology for the automatic generation of the subject field hierarchy for Intellgent Expert Management Framework using WordNet. Intelligent Expert Management Framework, which is proposed as an appropriate method to manage valuable tacit knowledge within the organization, defines the expert profile structure and proposes the efficient method to automate the process to collect and update the expert profile information based on the profile structure defined. To increase the satisfaction level of users, additional intelligent search features are defined and users can be given the list of experts in related or similar expert fields when they perform expert searches based on the expert database being built. To enable automatic profiling of the organizational experts as well as intelligent expert searches, the subject field hierarchy, upon which the expert profiles are classified and expert searches for similar fields are performed, should be predefined. In this paper, we propose the WordNet library method that first eliminates the ambiguity of the senses of nominal data values, constructs the subject field hierarchy by overlapping the hypernym of the remaining senses, and lastly adjusts the derived hierarchy to the preference of users. Based on the proposed methodology, we expect to avoid the prohibitive costs in building large subject field hierarchies when manually done as well as maintain the objectivity of the hierarchies.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
• /
• pp.575-578
• /
• 2008

현재 대부분의 자동차 부품 제조업체에서는 자동차 부품개발 및 구매, 생산 관리 등에 어려움을 격고 있으며, 자동차 부품의 신규 개발 및 설계 변경 시 신규 등록 및 이력 관리에 어려움이 있다. 이에 따라 여러 가지 부품에 대한 자동화된 이력관리와 부품의 데이터베이스 구축에 대한 필요성을 절실히 느끼고 있는 상항이다. 이에 본 논문은 자동차 제조 부품관련 데이터 검색과 실시간 생산통합관리 시스템 개발을 위한 설계를 목적으로 한다. 설계 데이터 변경에 대한 자재변경과정을 입력함으로써 자동적으로 데이터 갱신이 이루어질 수 있도록 하였고, 부품에 대한 품명, 품번을 입력하면 관련 부품 이력정보의 통합관리가 가능하도록 하였다.

• 농업과학연구
• /
• 제48권4호
• /
• pp.703-718
• /
• 2021

An irrigation monitoring system is an efficient approach to save water and to provide effective irrigation scheduling for rice cultivation in desert soils. This research aimed to design, fabricate, and evaluate the basic performance of an irrigation monitoring system based on information and communication technology (ICT) for rice cultivation under drip and micro-sprinkler irrigation in desert soils using a Raspberry Pi. A data acquisition system was installed and tested inside a rice cultivating net house at the United Arab Emirates University, Al-Foah, Al-Ain. The Raspberry Pi operating system was used to control the irrigation and to monitor the soil water content, ambient temperature, humidity, and light intensity inside the net house. Soil water content sensors were placed in the desert soil at depths of 10, 20, 30, 40, and 50 cm. A sensor-based automatic irrigation logic circuit was used to control the actuators and to manage the crop irrigation operations depending on the soil water content requirements. A developed webserver was used to store the sensor data and update the actuator status by communicating via the Pi-embedded Wi-Fi network. The maximum and minimum average soil water contents, ambient temperatures, humidity levels, and light intensity values were monitored as 33.91 ± 2 to 26.95 ± 1%, 45 ± 3 to 24 ± 3℃, 58 ± 2 to 50 ± 4%, and 7160-90 lx, respectively, during the experimental period. The ICT-based monitoring system ensured precise irrigation scheduling and better performance to provide an adequate water supply and information about the ambient environment.

• 정보처리학회논문지D
• /
• 제13D권5호
• /
• pp.641-650
• /
• 2006

XML은 자기 기술적인 특징이 있기 때문에 구조를 한정하기 위해서 DTD 또는 XML 스키마를 사용한다. XML 스키마가 아직 권고안에 불과하지만 DTD는 XML 언어가 아니고 표현에도 한계가 있기 때문에 XML 스키마의 사용이 보편화 될 것이다. XML 문서의 구조와 데이터는 XML 스키마의 잘못된 디자인, 어플리케이션의 새로운 요구 등의 여러 복합적인 이유로 변할 수가 있다. 이에 우리는 XML 스키마 진화(schema evolution)을 분석하여 w;ls화의 기능을 실현할 수 있는 최소한의 연산자들을 제안한다. 이러한 스키마 진화 연산자들은 XML스키마에 순응하는 XML 문서의 수가 많을 경우, XSE가 없다면 불가능한 XML 스키마와 XML 문서의 수정을 가능하게 한다. 더욱이 연산자들은 자동적으로 XML 스키마에 등록되어 있는 모든 XML 문서의 수정위치를 찾아주고 수정 후에도 XML 문서를 well-form 상태가 아닌 valid 상태를 유지시키는 기능을 포함하고 있다 이 논문은 XML 스키마를 체계적으로 수정하는 첫 번째 시도이며 XML의 수정에 필요한 대부분의 연산을 제공한다. 이 논문의 연구는 XML 문서의 구조뿐만 아니라 데이터까지 쉽고 정확하게 수정하는 것을 도와주기 때문에 XML 어플리케이션의 개발과 유지를 위해 꼭 필요한 작업이다.