• Spatial Information Research
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• v.18 no.4
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• pp.141-149
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• 2010

One of recent trends in Web-based GIS is the system development using FOSS (Free and Open Source Software). Open Source software is independent from the technologies of commercial software and can increase the reusability and extensibility of existing systems. In this study, we developed a Web-based GIS for interactive visualization of geographic information using Google Earth and spatial DBMS(database management system). Google Earth Plug-in and Google Earth API(application programming interface) were used to embed a geo-browser in the Web browser. In order to integrate the Google Earth with a spatial DBMS, we implemented a KML(Keyhole Markup Language) generator for transmitting server-side data according to user's query and converting the data to a variety of KML for geovisualization on the Web. Our prototype system was tested using time-series of LAI(leaf area index), forest map, and crop yield statistics. The demonstration included the geovisualization of raster and vector data in the form of an animated map and a 3-D choropleth map. We anticipate our KML generator and system framework will be extended to a more comprehensive geospatial analysis system on the Web.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2232-2240
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• 2015

Recently in the field of Big Data, there is a trend of collecting and reprocessing the existing data such as products having high interest of customers and past purchase details to be utilized for the analysis of transaction propensity of users(product recommendations, sales forecasts, etc). Studies related to the propensity of previous users has limitations on its range of subjects and investigation timing and difficult to make predictions on detailed products with lack of real-time thus there exists difficult disadvantages of introducing appropriate and quick sales strategy against the trend. This paper utilizes the machine learning algorithm application to analyze the transaction propensity of users. As a result of applying the machine learning algorithm, it has demonstrated that various indicators which can be deduced by detailed product were able to be extracted.

• Journal of Advanced Marine Engineering and Technology
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• v.35 no.2
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• pp.288-294
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• 2011

In this paper, the FPGA-based SoC board (Xilinx Virtex-4 ML401 EVM) is adopted to control electrical power inverter system. For marine application, its performance is shown on PC-based system for monitoring electrical characteristics of a power inverter using by the NMEA 2000 protocol. This power inverter system is achieved in Real-Time monitoring and control by dual micro-processor operation on embedded FPGA-based SoC board. One micro processor is for control (Control processor) electrical power inverter using by PWM signal. And the other microprocessor (Communication processor) is for communication with PC-based monitoring system. The two-processor is communicating each other using by dual-port ram (DPRAM). PC-based system user can control and monitor information of the electrical power inverter via NMEA 2000 based communication processor. Control and monitoring information includes the inverter status and configuration. SoC board converts this information to Parameter Group Numbers (PGNs) in the NMEA 2000 protocol. This system can be applied to marine power electronics for distributed power generation, transmission or regulation systems on the ship.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.127-130
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• 2017

The information and communication technology that is being developed recently has been greatly influencing the automobile market. In recent years, devices equipped with IT technology have been installed for the safety and convenience of the driver. It is necessary to develop a system that can link the Smartphone with the vehicle in accordance with these changes. In this paper, first of all we analyze the car connectivity services that served by the other competitors. In addition, we proposed and implemented the improved system that can support and control most of smart device application in vehicle by user's NEEDS. We also implemented the application that can restrict the applications which unsatisfied the drive regulations and designed and proposed the scenario that can apply our company's car connectivity system in future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.3
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• pp.369-378
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• 2020

Due to the widespread use of mobile devices, smartphone penetration and usage rate continue to increase and there is also an increasing amount of data that need to be stored and managed in applications. Therefore, recent applications use mobile databases to store and manage user data. Realm database, developed in 2014, is attracting more attention from developers because of advantages of continuous updating, high speed, low memory usage, simplicity and readability of the code. It also supports an encryption to provide confidentiality and integrity of personal information stored in the database. However, since the encryption can be used as an anti-forensic technique, it is necessary to analyze the encryption and decryption processes provided by Realm Database. In this paper, we analyze the structure of Realm Database and its encryption and decryption process in detail, and analyze an application that supports an encryption to propose the use cases of the Realm Database.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.317-322
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• 2015

Recently, due to the variety and complexity of marine electronics communication devices, much research has been done to adopt the novel communication protocol. Among them, NMEA2000 protocol, is adopted as standardized protocol to the next generation ship. In this paper, we design and implement the conversion algorithm for sensor protocol based on NMEA2000, and analog data module which convert data format between NMEA2000, CAN, Ethernet, RS232. The present study was designed to implement user-based data monitoring system by supporting various communication protocols through the development and application of key technologies through NMEA2000.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.855-864
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• 2004

Programmers can be got the test-related information for implementation without interference of source code complexity by use of the formal specification. Especially the external inputs and system responses can be represented precisely by formal specification in testing phase of web-based software systems. This paper suggests a method of extracting test cases by use of formal specification. Object-Z formal specification represents various test-related information for complex functions of web-based applications. State Transition Models could be built from the formal specification so that test scenarios were extracted from STDs from the highest level to detail levels. The target system for verification of this method is a web-based banking system which is necessary to be secured and critical on errors. This method would be an important factor in automatizing test procedure for web-based application software systems combining the user-base test technique.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.3
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• pp.57-61
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• 2011

Large scale natural disasters such as floods and typhoons due to climate change have recently occurred with severe damage in all over the world. Especially, current disaster investigation in affected area takes too much time because it can be done by handcrafted. Also, it is lack of somewhat accuracy and objectiveness because it is influenced by investigator's judgment. Further, the current disaster investigation is difficult when damage area is very wide or investigator can't reach the affected area. Hence, we developed the integrated damage investigation system using stereo images and information technology for quick, accurate and objective investigation. Also, we applied the system to Bonghwa-gun in Gyeongsangbuk-do in 2008, Jecheon-si in Chungcheongbuk-do in 2009, and Namwon-si in Jeollabuk-do and Hapcheon-gun in Gyeongsangnam-do in 2010. This paper presents advancement and application of integrated damage investigation system using stereo images and information technology considering mobility, stability and user convenience in field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1457-1462
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• 2020

There are dozens of applications on the smartphone. The service application that manages the loading, deletion, and deployment of these applications is called a smartphone launcher, and various launchers are used. Some of the existing launchers provide a function to automatically place icons by analyzing user application usage patterns. In this paper, we present a method of automatically arranging icons so that the icons are balanced on the smartphone screen. The usefulness of our method is illustrated by some exaples. In this case, it is proved that in an m × n screen layout with a height of m and a width of n, if n is an odd number, the entire screen can always be arranged in a balanced manner regardless of the n value by mathematical induction method.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.4
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• pp.25-34
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• 2024

This paper presents the development of a mobile application that detects and identifies canine skin diseases by training a deep learning-based U-Net model to infer the presence and location of skin lesions from images. U-Net, primarily used in medical imaging for image segmentation, is effective in distinguishing specific regions of an image in a polygonal form, making it suitable for identifying lesion areas in dogs. In this study, six major canine skin diseases were defined as classes, and the U-Net model was trained to differentiate among them. The model was then implemented in a mobile app, allowing users to perform lesion analysis and prediction through simple camera shots, with the results provided directly to the user. This enables pet owners to monitor the health of their pets and obtain information that aids in early diagnosis. By providing a quick and accurate diagnostic tool for pet health management through deep learning, this study emphasizes the significance of developing an easily accessible service for home use.