• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.22-29
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• 2014

A lock is a general and popular way of serializing accesses to shared data in multiprocessor environments. After the mutual exclusion was first introduced in 1960s, many spinlock algorithms have been proposed and deployed to real systems such as operating systems and (transactional) database systems. In this study, we measure impacts of a lock mechanism on a database system under various CPU configurations using a high-end multicore system. For the evaluation, we use the most up-to-date version of MySQL (version 5.6) with InnoDB engine, which has been substantially re-architected to improve scalability on multicore machines. We changed the original spinlock function of InnoDB to evaluate various spinlock mechanisms on multicore machines.

• Journal of the Korea Society of Computer and Information
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• v.8 no.4
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• pp.28-34
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• 2003

ASN.1 is the most fundamental technology in network management. The develoment of ASN.1 environment requires three steps : compiler work to parse ASN.1 languages, updating database with the parsing results, and pretty-printing work for data in the database. This paper presents the design and implementation of the translator which automatically translates the specification of ASN.1 to the object-oriented language C++. This system provides a total environment including for various graphic user interface, DB interface, browser to develop ASN.1 for development environment of ASN.1 For the implementation, Objectivity DB is used for database, flex and yacc for compiling, and Tcl/Tk for user interface.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.4
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• pp.373-382
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• 2016

In this study, an EKF (Extended Kalman Filter) based database reference navigation using both gravity gradient and terrain data was performed to complement the weakness of using only one type of geophysical DB (Database). Furthermore, a new algorithm which combines the EKF and profile matching was developed to improve the stability and accuracy of the positioning. On the basis of simulations, it was found that the overall navigation performance was improved by the combination of geophysical DBs except the two trajectories in which the divergence of TRN (Terrain Referenced Navigation) occurred. To solve the divergence problem, the profile matching algorithm using the terrain data is combined with the EKF. The results show that all trajectories generate the stable performance with positioning error ranges between 14m to 23m although not all trajectories positioning accuracy is improved. The average positioning error from the combined algorithm for all nine trajectories is about 18 m. For further study, a development of a switching geophysical DB or algorithm between the EKF and the profile matching to improve the navigation performance is suggested.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.8C
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• pp.771-781
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• 2002

Conventional command-based communication services are rapidly substituted by multimedia web-based communication services at most recent times. As the result, many valuable database and services developed by investing lots of human and material resources become to be useless. Therefore in this paper we researched the implementation methods and techniques for making the updates efficiently from the conventional command-based database services to a multimedia web-based database system that made users easily access to database and services.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.51-58
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• 2018

In order to utilize various data provided by Korea public open data portal, data should be systematically managed using a database. Since the range of open data is enormous, and the amount of data continues to increase, it is preferable to use a database capable of processing big data in order to analyze and utilize the data. This paper proposes data modeling and implementation method suitable for public data. The target data is subway related data provided by the public open data portal. Schema of the public data related to Seoul metro stations are analyzed and problems of the schema are presented. To solve these problems, this paper proposes a method to normalize and structure the subway data and model it in NoSQL database. In addition, the implementation result is shown by using MongDB which is a document-based database capable of processing big data.

• Journal of Information Management
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• v.23 no.2
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• pp.40-56
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• 1992

The inhouse database can be used as an effective tool for managing inhouse/corporaterelated informations, which efficiently support business activities as they are shared by all the inhouse members. The inhouse database construction processes can be classified into a concept design, various kinds of DB format designs, abstracting/indexing, and DB operation/maintenance. This article presents a method of systematizing the concept design elements such as information flow support system, usable resources, and so on.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.13-21
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• 2011

Update of road facilities database such as road sign, traffic lights, and street lights is interesting business in a local government. Recently, existing road facilities database, aerial photo and topographic map are referred for the installation and complement of road facilities. But it is difficult to comprehend road facilities' condition and additional expenses may appear in field survey. Therefore, it is necessary to establish and update road facility DB and many studies has been carried out to efficiently collect road related spatial data. In this study, the establishment of various complicated road facility DB was conducted by images that had been obtained by digital camera with a built-in bluetooth and DGPS. Results showed that road facility DB was constructed effectively and suggested the possibility of road facility management using images based on coordinate through accuracy analyses using total-station surveying. And using digital camera and DGPS is expected to effective real-time update and management of road facility DB.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.291-297
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• 2003

With the development of information communication technology, the demands for various, profound and advanced information on science and technology and the necessity for establishing science and technology information infrastructure with the aim of future oriented industry are ever increasing. Advanced countries are providing material property DB as well as bibliographic DB though the Internet. Establishment and dissemination of bibliographic DB at domestic is properly settled but research on material property DB is much to be desired. Accordingly, development and research on material property DB to construct the information infrastructure in science and technology are highly necessary. In this study, we have developed superconducting materials property DB which is highly advanced industry field in future. We provide the thermal and mechanical, and superconducting property data for oxide superconductors, and the database is designed by bibliographic information, material information and material property information section.

• Phonetics and Speech Sciences
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• v.9 no.2
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• pp.9-22
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• 2017

The purpose of this paper is to report the whole process of developing Korean Standard Speech Database (KSS DB). This project is supported by SPO (Supreme Prosecutors' Office) research grant for three years from 2014 to 2016. KSS DB is designed to provide speech data for acoustic-phonetic and phonological studies and speaker recognition system. For the samples to represent the spoken Korean, sociolinguistic factors, such as region (9 regional dialects), age (5 age groups over 20) and gender (male and female) were considered. The goal of the project is to collect over 3,000 male and female speakers of nine regional dialects and five age groups employing direct and indirect methods. Speech samples of 3,191 speakers (2,829 speakers and 362 speakers using direct and indirect methods, respectively) are collected and databased. KSS DB designs to collect read and spontaneous speech samples from each speaker carrying out 5 speech tasks: three (pseudo-)spontaneous speech tasks (producing prolonged simple vowels, 28 blanked sentences and spontaneous talk) and two read speech tasks (reading 55 phonetically and phonologically rich sentences and reading three short passages). KSS DB includes a 16-bit, 44.1kHz speech waveform file and a orthographic file for each speech task.

• Journal of Platform Technology
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• v.9 no.2
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• pp.3-9
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• 2021

The management of sensor information requires the functions for registering, modifying and deleting rapidly sensor information about various many sensors. In this research, Celery and MongoDB are used for developing a sensory data management system. Celery supplies a queue structure based on asynchronous communication in Python. Celery is a distributed simple job-queue but reliable distributed system suitable for processing large message. MongoDB is a NoSQL database that is capable of managing various informal information. In this experiment, we have checked that variety of sensor information can be processed with this system in a IoT environment. To improve the performance for handling a message with sensory data, this system will be deployed in the edge of a cloud infrastructure.