• The Transactions of the Korea Information Processing Society
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• v.6 no.11S
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• pp.3379-3389
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• 1999

Important network application services have been rapidly increased along with the growth of the Internet. So, it is desirable for such applications to serve transparently, continuously and safely even if the network is temporally disconnected or certain hosts running those services are crashed down. To satisfy such requirementes, many group communication systems have been developed; but, those systems restrict its range within a single LAN or directly interconnected LAN environments since the communication through the Internet is too slow and too unreliable to support group communication. As of now, it is expected the Internet is going to e sufficiently fast and reliable in the near communication system, named FACE(Java Advanced Communication Environment), supporting Extended Virtual which is a basic communication layer, RPGS(Reliable Process Group Service) which manages application process groups, and JACE API for developing Java application services and clients programs. In addition, an experimental replicated object space is developed as an application of the JACE system.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.260-263
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• 2023

Considering the growth of blockchain technology, the research aims to transform the efficiency of recommending optimal coffee suppliers within the complex supply chain network. This transformation relies on the extraction of vital transactional data and insights from stakeholders, facilitated by the dynamic interaction between the application interface (e.g., Rest API) and the blockchain network. These extracted data are then subjected to advanced data processing techniques and harnessed through machine learning methodologies to establish a robust recommendation system. This innovative approach seeks to empower users with informed decision-making abilities, thereby enhancing operational efficiency in identifying the most suitable coffee supplier for each customer. Furthermore, the research employs data visualization techniques to illustrate intricate clustering patterns generated by the K-Means algorithm, providing a visual dimension to the study's evaluation.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.3
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• pp.643-650
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• 2018

This service uses beacon with BLE technology, and USER APP has priority with Anchor IPS which secures location and device. Since then, it has been linked with character beacons that can be used in various places. The character beacon which is recognized as a service is able to confirm the user's location through API key of the LBS CMS server, and receives various contents services of the UESR CMS server. The service network consists of character beacon, Anchor IPS, USER APP, LBS CMS server, and USER CMS server. The purpose of the service is to promote local tourism and local culture to tourists through local unique characters.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.9
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• pp.2127-2133
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• 2010

In this paper, we proposed an architecture for supporting sensor transparency in sensor node operating systems, design the standard APIs (Application Programming Interfaces) and sensor device abstraction to provide the sensor transparency and implemented the sensor transparency in the TinyOS, the most well known sensor node operating system. With the proposed sensor node operating system which can support the sensor transparency, application developers can develop the target applications independent to each sensor device by using the standard APIs provided by the sensor node operating system and the sensor device manufacturers also can develop sensor device drivers by using the standard hardware interfaces and HAL (Hardware Adaptation Layer) interfaces independent to the specific hardware platform of sensor nodes.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.464-469
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• 2015

This paper presents the smart system platform for remotely controlling the windows and doors system(WDS), which gathers and analyzes the state of WDS and the environmental data for preventing crimes and keeping a pleasant indoor. In particular, standard API between the smart WDS platform and the smart home platform has been presented to be easy to a home services, such as security, safety, and home appliance control. The private gateway of wire and wireless communication interfaces has been developed to remotely control and monitor the WDS for anytime and anyplace solving the crime prevention and ventilation problem. Web-and App-based user interface in order to detect the opening and shutting states and remotely control WDS have also been developed to support the mobile environment, respectively.

• Journal of Korea Multimedia Society
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• v.8 no.11
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• pp.1472-1482
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• 2005

In this paper, we propose a socket interface layer for large-scale multimedia servers that adopt TCP/IP Offload Engines (TOE). In order to provide legacy network applications with binary level compatibility, the socket interface layer intercepts all socket-related system calls to forward to either TOE or legacy TCP/IP Protocol stack. The layer is designed and implemented as a kernel module in Linux. The layer is located between BSD socket layer and INET socket layer, and passes the application's socket requests to INET socket layer or TOE. The layer provides multimedia servers and web servers with the following features: (1) All standard socket APIs and file I/O APIs that are supported (2) Support for binary level compatibility of existing socket programs (3) Support for TOE and legacy Ethernet NICs at the same time.

• Smart Media Journal
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• v.11 no.3
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• pp.18-25
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• 2022

Neuromorphic computing generally shows significantly better power, area, and speed performance than neural network computation using CPU and GPU. These characteristics are suitable for resource-constrained IoT environments where energy consumption is important. However, there is a problem in that it is necessary to modify the source code for environment setting and application operation according to heterogeneous IoT devices that support neuromorphic computing. To solve these problems, NAAL was proposed and implemented in this paper. NAAL provides functions necessary for IoT device control and neuromorphic architecture abstraction and inference model operation in various heterogeneous IoT device environments based on common APIs of NAAL. NAAL has the advantage of enabling additional support for new heterogeneous IoT devices and neuromorphic architectures and computing devices in the future.

• The Journal of Information Systems
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• v.15 no.4
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• pp.247-268
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• 2006

We introduce about XBRL, eXtensible Business Reporting Language, which is widely accepted as the international standard language for business financial reporting. XBRL is a language for the electronic communication of business and financial data which is revolutionizing business reporting around the world. It provides major benefits in the preparation, analysis and communication of business information. It offers cost savings, greater efficiency and improved accuracy and reliability to all those involved in supplying or using financial data. XBRL is a kind of XML application based on the open Internet technologies. We propose a framework for enterprise information supply chain using XBRL Web services. A Web service is defined as a software system based on XML and designed to support interoperable machine-to-machine interaction over a network by the W3C. Web services are frequently just application programming interfaces (API) that can be accessed over a network, such as the internet and executed on a remote system hosting the requested services. An XBRL Web service-based enterprise information supply chain enables for companies to implement seamless information supply chains from businesses to financial institutions, to supervisory authorities, and to other stake holders for real time information access. And thereby it is expected to contribute to the increase in the value of companies due to the enhanced visibility and transparency of accounting and management.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.12B
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• pp.1042-1051
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• 2004

The IEEE1394 is a favorable protocol for A/V networks recently in home and there are two types of transmission in this protocol which are asynchronous and isochronous. The more nodes participate in the IEEE1394 network, the more problems of resource exhaustion and connection repetition may occur. So this paper proposes a middleware for isochronous connection management and reliable multimedia data transmission in the IEEE1394-IEC61883 based home networks. In this paper, proposed middleware is supporting the various types of isochronous connection, guaranteeing the reliability of isochronous connection and providing the characteristic of a real-time data transmission. We support CORBA API for multimedia service and the proposed architecture was implemented using a test-bed and we verified the proposed architecture in a test-bed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1693-1713
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• 2018

An important technique used by database administrators (DBAs) is to improve performance in decision-support workloads associated with a Star schema is multi-level partitioning. Queries will then benefit from performance improvements via partition elimination, due to constraints on queries expressed on the dimension tables. As the task of multi-level partitioning can be overwhelming for a DBA we are proposing a wizard that facilitates the task by calculating a partitioning scheme for a particular workload. The system resides completely on a client and interacts with the costing estimation subsystem of the query optimizer via an API over the network, thereby eliminating any need to make changes to the optimizer. In addition, since only cost estimates are needed the wizard overhead is very low. By using a greedy algorithm for search space enumeration over the query predicates in the workload the wizard is efficient with worst-case polynomial complexity. The technology proposed can be applied to any clustering or partitioning scheme in any database management system that provides an interface to the query optimizer. Applied to the Teradata database the technology provides recommendations that outperform a human expert's solution as measured by the total execution time of the workload. We also demonstrate the scalability of our approach when the fact table (and workload) size increases.