• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.45-50
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• 2008

Meter reading modules, which read the meter and transmit the data to water management offices, can't use the electric wires for their power supply. Therefore, batteries have to be used for meter reading modules and that cause maintenance problems like periodic batteries replacement. To save the maintenance cost, a wireless transmitting solution with less power consumption is required. In This paper, we designed a remote meter reading module, which reads meter automatically with less power consumption of battery by effective management of power source and transmits the reading data using RF.

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1041-1048
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• 2003

This paper implements a remote image based metering(IBM) system which capture meter image, recognizes number automatically, and send the data wirelessly through PCS data network. We use existing gas/water meter and get NTSC camera image by installing small monochrome CMOS camera on the meter closely. For remote data transfer, we use SMS (short message service) that is provided by commercial PCS network. We developed DVR(digital video recorder) for capturing meter image and character recognition algorithm. In addition, hardware and software for SMS and meter selector were developed.

• Electronics and Telecommunications Trends
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• v.30 no.1
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• pp.12-20
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• 2015

1980년대 초 1세대 아날로그 이동통신시스템이 처음 도입된 이래 이동통신은 2세대, 3세대를 거쳐서 4세대 시스템으로 진화되었다. 기존의 이동통신은 주로 가정, 사무실 등 보행자 중심의 Nomadic 환경에 최적화된 형태이고 120km/h 이상의 고속환경에서는 통신접속이 끊어지지 않는 정도의 서비스에 한정되었다. 2007년 애플의 iPhone이 출현한 이래 스마트폰 중심의 모바일 데이터 서비스 사용량이 매년 가파른 증가세를 보이고 있으며 보행자 중심의 저속환경뿐만 아니라 지하철, 고속철 등 그룹이동체 내에서의 모바일 데이터 서비스도 점차 중요해지고 있다. 그룹이동체 내에서 일반 사용자들은 차량 외부의 이동통신망을 통해 직접 서비스를 받을 수도 있고 이동무선백홀과 결합된 WLAN 혹은 펨토셀과 같은 차량 내 이동소형셀형태로 서비스를 받을 수 있다. 본고에서는 그룹이동체 내의 이동소형셀 지원을 위한 이동무선백홀 기술동향을 분석하고 향후 수 Gbps급 이상의 데이터 전송속도를 지원할 수 있는 밀리미터파 기반의 이동무선백홀 기술을 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.754-757
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• 2019

대한민국 인구의 고령화는 점점 더 심화되며 노인 환자의 수도 증가하는 추세이다. 노인환자들은 의약품 부작용 위험도가 높기 때문에 노인에게 부적절한 약물과 처방 이후의 부작용 발생 현황에 대한 통계적인 분석이 필요하다고 판단하였다. 의약품 부작용관련 문헌 정보와 실제 병원의 전자 의무 기록을 이용해 데이터 베이스를 구축하고 Python 을 사용해 부작용 탐지 알고리즘을 설계했다. 노인 환자가 특정 약품을 투약한 이후에 그 약품에 부작용에 해당하는 진단을 받는다면 부작용이 발생한 것으로 판단한다. 알고리즘을 기반으로 사용자들이 쉽게 접근할 수 있도록 웹을 구축했다. d3.js 를 통해 직관적으로 부작용 확률을 확인할 수 있도록 구현했고 새로운 진단 또는 처방을 입력하여 실시간으로 확률에 반영하였다. 실시간으로 데이터를 확인할 수 있기 때문에 부작용 이슈에 신속하게 예방 및 대응이 가능할 것으로 기대된다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.183-193
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• 2009

Both On-Line Analytical Processing (OLAF) data cubes and Statistical Databases (SDBs) deal with multidimensional data sets. and both are concerned with statistical summarizations over the dimensions of the data sets. However, there is a distinction between the two that can be made. While SDBs are usually derived from other base data, OLAF data cubes often represent directly the base data. In other word, the base data of SDBs are the macro-data, whereas the core cubiod data in OLAF data cubes are the micro-data. The base table in OLAF is used to populate the data cube with values of the measure attribute, and each record in the base tables is used to populate a cell of the core cuboid. The fact that OLAF data cubes mostly represent the micro-data may make some records be absent in the base table. Some cells of the core cuboid remain empty, if corresponding records are absent in the base table. Wang and others proposed a method for securing OLAF data cubes against privacy breaches. They assert that the proposed method does not depend on specific types of aggregation functions. In this paper, however, it is found that their assertion on aggregate functions is wrong whenever any cell of the core cuboid remains empty. The objective of this study is to design an inference control process in OLAF data cubes which rectifying Wang's error.

• The KIPS Transactions:PartB
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• v.12B no.6 s.102
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• pp.647-654
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• 2005

In this paper, we implemented a terrestrial/cable PSIP converting system, so-called a PSIP converter, which is converting a terrestrial PSIP into a cable PSIP for a data broadcasting service in the interoperable network of terrestrial and cable, and define an interface between the PSIP converter and the OOB SI generator by using PMCP messages compliant to ATSC T3/Sl. The exiting PSIP converter just converts a terrestrial PSIP into a cable PSIP compliant to ATSC and OCAP standard and transmits by a MPEG-2 TS format. That is to say, it is not for the digital data broadcasting but for the digital broadcasting. In addition, the PSIP converter can support various types of PSIP information to the OOB SI generator by using PMCP messages defined by a hierarchical structure as per each channel, audio/video event, data event and so on.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.83-94
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• 2015

Deduplication, which is a technique of eliminating redundant data by storing only a single copy of each data, provides clients and a cloud server with efficiency for managing stored data. Since the data is saved in untrusted public cloud server, however, both invasion of data privacy and data loss can be occurred. Over recent years, although many studies have been proposed secure deduplication schemes, there still remains both the security problems causing serious damages and inefficiency. In this paper, we propose secure and efficient client-side deduplication with Key-server based on Bellare et. al's scheme and challenge-response method. Furthermore, we point out potential risks of client-side deduplication and show that our scheme is secure against various attacks and provides high efficiency for uploading big size of data.

• Journal of Navigation and Port Research
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• v.43 no.6
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• pp.335-343
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• 2019

As the regulations of ship exhaust gas have been strengthened recently, many measures are under consideration to reduce fuel consumption. Among them, research has been performed actively to develop a machine-learning model that predicts fuel consumption by using data collected from ships. However, many studies have not considered the methodology of the main parameter selection for the model or the processing of the collected data sufficiently, and the reckless use of data may cause problems such as multicollinearity between variables. In this study, we propose a method to predict the fuel consumption of the ship by using the principal component analysis to solve these problems. The principal component analysis was performed on the operational data of the 13K TEU container ship and the fuel consumption prediction model was implemented by regression analysis with extracted components. As the R-squared value of the model for the test data was 82.99%, this model would be expected to support the decision-making of operators in the voyage planning and contribute to the monitoring of energy-efficient operation of ships during voyages.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1460-1465
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• 2016

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.1 s.19
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• pp.19-26
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• 2002

To provide 3D GSIS data on the internet, 3D data structures need to be researched and applied for spatial analysis for subsurface modeling. As for GSIS software R&D trend the following things have pointed out : 3-dimensional geo-processing technologies, internet-based application system development, distributed processing technologies for large volume of spatial information, real-time geo-data processing methodologies, Among them research scope within Internet-based application system or Web-based GSIS generally contains core parts of software development such as Internet application, large volume of spatial database handling, real-time spatial data processing, spatial data transfer and transformation, and volumetric display of processing results. This study shows the method of providing 3D GSIS on the internet using VRML model, which are made of DEM data, draped aerial photo, and VRML script programming. And it is also studied that offering 3D GSIS engine on the internet and precise texture mapping using satellite image and aerial photos.