• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

• Information Systems Review
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• v.14 no.1
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• pp.105-128
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• 2012

The Culture and Arts Website, one of the parts of providing information related to culture and art utilizing internet, is the website that giving information of arts genre like theater, music, art, architecture, video, and literature. As growing interest in the field of culture and arts, market of this website has been increasing and providing customized content which each customer wants in the field of culture and arts. Developers of culture and arts website consider the website media for increasing and developing awareness about culture and arts. They are accelerating development of various business models and application of culture and arts website service which it meets trend of the times and customers needs. This study will seize about influencing factors to culture and arts website service of domestic website users and analyze how these factors affect loyalty through satisfaction and word of mouth. This study presented research model applied main parameters of PAD(Pleasure, Arousal, Dominance) theory emphasized human's emotions that they are expected to affect the loyalty of culture and arts website service users based on satisfaction and word of mouth. The researcher in this study surveyed students of Seoul S University who had experiences with such culture and arts website to validate the model empirically. The results, firstly, if you experienced feeling related to pleasure and dominance in culture and arts website, you would satisfy this website and it could lead to loyalty. Secondly, the feeling related to ventilation does not affect the loyalty through satisfaction and word of mouth. Thirdly, the results show that all of three factors of emotional responses do not influence the loyalty through word of mouth.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.279-286
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• 2015

The rapid increase of the current marine accidents is mainly due to the human execution errors. In an effort to address this, various kinds of researches such as construction of the digital vessels and vessel information monitoring systems have been conducted. But for safe navigation of vessels, it lack on systems study which can efficiently store, utilize and manage the mass data accepted by the vessel. In this paper, we propose a VWS(Virtual World System) that is based on the architecture of intelligent systems RVC(Reactive Layer-Virtual World-Considerative Layer) model of intelligent autonomous navigation system. VWS is responsible to store all the necessary information for safe navigation of the vessel and the information services to the sub-system of intelligent autonomous navigation system. VWS uses topology database to express the specific problem area, and utilizes a scheduling to reflect the characteristics of the real-time processing environment. Also, Virtual World defines API for the system to reflect the characteristics of the distributed processing environment. As a case study, the VWS is applied to a intelligent ship autonomous navigation system, and simulation is done to prove the effectiveness of the proposed system.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.130-142
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• 2008

Different from other ontology languages, TopicMap is capable of integrating numerous amount of heterogenous information resources using the locational information without any information transformation. Although many conventional editors have been developed for topic maps, they are standalone-type only for writing XTM documents. As a result, these tools request too much time for handling large-scale data and provoke practical problems to integrate with legacy systems which are mostly based on relational database. In this paper, we model a large-scale topic map structure based on XTM 1.0 into RDB structure to minimize the processing time and build up the ontology in legacy systems. We implement a topic map platform called X-TOP that can enhance the efficiency of ontology construction and provide interoperability between XTM documents and database. Moreover, we can use conventional SQL tools and other application development tools for topic map construction in X-TOP. The X-TOP is implemented to have 3-tier architecture to support flexible user interfaces and diverse DBMS. This paper shows the usability of X-TOP by means of the comparison with conventional tools and the application to healthcare cancer ontology management.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.5
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• pp.9-20
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• 2005

In this paper, we propose ubiTrack, a system which tracks users' location in indoor environments by employing infrared-based proximity method. Most of recently developed systems have focussed on performance and accuracy. For this reason, they adopted the idea of centralized management, which gathers all information in a main system to monitor users' location. However, these systems raise privacy concerns in ubiquitous computing environments where tons of sensors are seamlessly embedded into environments. In addition, centralized systems also need high computational power to support multiple users. The proposed ubiTrack is designed as a passive mobile architecture to relax privacy problems. Moreover, ubiTrack utilizes appropriate area as a unit to efficiently track users. To achieve this, ubiTrack overlaps each sensing area by utilizing the TDM (Time-Division Multiplexing) method. Additionally, ubiTrack exploits various filtering methods at each receiver and utilization module. The filtering methods minimize unexpected noise effect caused by external shock or intensity weakness of ID signal at the boundary of sensing area. ubiTrack can be applied not only to location-based applications but also to context-aware applications because of its associated module. This module is a part of middleware to support communication between heterogeneous applications or sensors in ubiquitous computing environments.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1105-1112
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• 2002

Nowadays the information exchange based on XML such as B2B electronic commerce is spreading. Therefore a systematic and stable management mechanism for storing the exchanged information is needed. For this goal there are many research activities for concerning the connection between XML application and relational databases. But because XML data has hierarchical structure and relational databases can store only flat-structured data, we need to make a conversion rule which changes the hierarchical architecture to a 2-dimensional format. Accordingly the modeling methodology for storing such structured information in relational databases is needed. In order to build good quality application systems, modeling is an important first step. In 1997, the OMG adopted the UML as its standard modeling language. Since industry has warmly embraced UML, its popularity should become more important in the future. So a design methodology based on UML is needed to develop efficient XML applications. In this paper, we propose a unified design methodology for XML applications based on relational database using UML. To reach these goals, first we introduce a XML modeling methodology to design W3C XML schema using UML and second we propose data modeling methodology for relational database schema to store XML data efficiently in relational databases.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.73-89
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• 2004

Since people have come to access more and more information about products with the proliferation of the Internet, more and more customer-to-customer e-marketplaces are being introduced with rapidly increasing transaction volumes. As the role of customer-to-customer electronic commerce has become increasingly regarded as vital to the economy, much research has delved into developing intelligent agent systems to efficiently support customer-to-customer electronic commerce. Most of this research, however, has focused only on supporting simple negotiation for the price of common goods along the time span. To expand the negotiation object to the differentiated goods, the customer must be allowed to negotiate over multi-at-tributes of the product besides the price, including the attributes related to the transaction activity itself, such as delivery time and payment method. To satisfy this requirement, we propose an agent marketplace for differentiated goods where the agent of a customer can negotiate not only the price but also the various attributes of the product and the transaction in order to achieve a better utility level for both buyer and seller. The formal protocol and the architecture issues to support the proposed e-marketplace and agents are also addressed.

• Journal of Korea Spatial Information System Society
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• v.10 no.3
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• pp.79-91
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• 2008

Recently, with highly Interest In Location-Based Service(LBS) utilizing location data of moving objects, the GALIS(Gracefully Aging Location Information System) which is a cluster-based distributed computing architecture was proposed as a more efficient location management system of moving objects. In the SLDS(Short-term location Data Subsystem) which Is a subsystem of the GALIS, since the SDP(Short-term Data Processor) Master transmits current location data and queries to every SDP Worker, the SDP Master reassembles and sends query results produced by SDP Workers to the client. However, the services are suspended during the SDP Master under failure and the response time to the client is increased if the load is concentrated on the SDP Master. Therefore, in this paper, the extended SLDS was designed and implemented to solve these problems. Though one SDP Master is under failure, the other can provide the services continually, and so the extended SLDS can guarantee the high reliability of the SLDS. The extended SLDS also can reduce the response time to the client by enabling two SDP Masters to perform the distributed query processing. Finally, we proved high reliability and high availability of the extended SLDS by implementing the current location data storage, query processing, and failure takeover scenarios. We also verified that the extended SLDS is more efficient than the original SLDS through the query processing performance evaluation.

• Korean Journal of Heritage: History & Science
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• v.43 no.1
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• pp.56-85
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• 2010

UNESCO World Heritage Programme was introduced following the adoption of Convention Concerning the Protection of the World Cultural and Natural Heritage by the General Conference of UNESCO in 1972 in order to protect cultural and natural heritage with superb value for all mankind. Despite its short history of less than 40 years, it has been evaluated as one of the most successful of the cultural area projects of UNESCO with 890 world heritage registered worldwide. For systematic protection management of World Heritage, UNESCO, through systemization of registration, emphasis on the importance of preservation management plan, institutionalization of monitoring, and operation of World Heritage Fund, has utilized World Heritage Programme not just as a means of listing excellent cultural properties, but as a preservation planning tool, and accordingly, such policies have had a significant influence on the cultural heritage protection legislations of numerous nations. Korea has ratified World Heritage Convention in 1988, and with the registration of the Royal Tombs of the Joseon Dynasty in 2009, it has 9 World Heritage Sites. Twenty years have passed since Korea joined the World Heritage Programme. While World Heritage registration contributed to publicity of the uniqueness and excellence of Korean cultural properties and improvement of Korea's national culture status, it is now time to devise various legislative/systematic improvement means to reconsider the World Heritage registration strategy and establish a systematic preservation management system. While up until now, the Cultural Properties Protection Law has been amended to arrange for basic rules regarding registration and protection of World Heritage Sites, and some local governments have founded bodies exclusive for World Heritage Site management, a more fundamental and macroscopic plan for World Heritage policy improvement must be sought. Projects and programs in each area for reinforcement of World Heritage policy capacity such as: 1) Enactment of a special law for World Heritage Site preservation management; 2) enactment of ordinances for protection of World Heritage Sites per each local government; 3) reinforcement of policies and management functionality of Cultural Heritage Administration and local governments; 4) dramatic increase in the finances of World Heritage Site protection; 5) requirement to establish plan for World Heritage Site preservation protection; 6) increased support for utilization of World Heritage Sites; 7) substantiation and diversification of World Heritage registration; 8) sharing of information and experiences of World Heritage Sites management among local governments; 9) installation of World Heritage Sites integral archive; 10) revitalization of citizen cooperation and resident participation; 11) training specialized resources for World Heritage Sites protection; 12) revitalization of sustainable World Heritage Sites tourism, must be selected and promoted systematically. Regarding how World Heritage Programme should be domestically accepted and developed, the methods for systemization, scientific approach, and specialization of World Heritage policies were suggested per type. In the future, in-depth and specialized researches and studies should follow.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.110-123
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• 2022

Namsan Park in Seoul was designated as a "grand park" in 1954 and is currently operated as an 'Urban Nature Park Area' and four 'neighborhood parks.' However, despite the park's historical and cultural value as an urban park, it has been discussed mainly from a perspective revolving around notions of a mountain or a city wall. To ensure a comprehensive exploration of Namsan Park's history, this study examined public records at the Seoul Metropolitan Archives (SMA), which houses the city's permanent records for preservation and organization. To this end, documents in the SMA Database (DB) were analyzed, yielding 1,359 records concerning Namsan Park. Based on the contents, general characteristics of the urban park were identified through production periods, record types, and disclosure types. Then, essential keywords concerning organizations, people, geographical areas, subjects, and business functions were examined. Finally, the contents and characteristics of Namsan Park in public records were scrutinized, focusing on specific spaces. This research also uncovered important information, such as park drawings, photos, planting lists, plant parcel lists, and significant discussions and decisions regarding the operation and management of the park. Although the public records do not contain a comprehensive history of Namsan Park, it was possible to check the primary historical changes and deliberation processes pertaining to the park's history. Therefore, continuous research intended to interpret and describe public records is expected to identify many implications. In addition, because the public records showed heterogeneous characteristics that center on specific periods and events, an essential task is to advance collaboration and networking with various related institutions, designers, researchers, and citizens.