• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2005.11a
• /
• pp.185-188
• /
• 2005

With the development of digital technology and the advent of the concept of well-being, kitchen will be worked as the center of housing and turn into multi-functional space. So a research is requested to consider the users' needs for kitchen based on their life characteristics. The purpose of this study is to find out housing lifestyles, and to search and analyze users' needs for kitchen planning according to their lifestyles. And then plans for kitchen design are suggested. The findings are as follows. (1) Housing lifestyles of users living in apartment are categorized into the type of network and trial & development, pursing the new environment and technology, the type of high quality and convenience, seeking the way to make housework easy and comfortable, the type of housework oriented and the type of unspecification. (2) The type of network and trial & development requests home automation, confrontation layout of counter-top, the type of high quality and convenience requests enlargement of kitchen space, the newest appliance and kitchen island, the type of housework oriented requests the efficiency of space utilization with a counter-top style table, and the type of unspecification asks space for study and office work. All of the types have needs for water use space, larger storing space and a Kimchi refrigerator.

• Journal of Communications and Networks
• /
• v.18 no.4
• /
• pp.639-648
• /
• 2016

Next-generation (4G) systems are designed to support universal frequency reuse (UFR) to achieve best use of valuable spectra. However, it leads to undesirable interference level near cell borders. To control this, 4G systems adopt techniques, such as network multiple-input multiple-output (MIMO) and inter-cell interference coordination (ICIC), to improve cell-edge throughput. Network MIMO aims at mitigating inter-cell interference towards cell-edge users (CEUs) through multi-cell cooperation, where each collaborative base station serves both cell-center users (CCUs) and CEUs, including other cells' CEUs, under a power constraint. The present ICIC strategies cannot be directly applied to network MIMO because they were designed in absence of multi-cell coordination. In the presence of network MIMO, this paper investigates antenna orientations in ICIC and the method of power management. Results show that a proper antenna orientation can improve the cell-edge capacity and meantime lower the interference to CCUs. Capacity inconsistency between CCUs and CEUs is detrimental to mobile communications. Simulation results show that the proposed power management for ICIC in network MIMO systems can achieve a uniform data rate regardless users' position.

• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.1
• /
• pp.11-19
• /
• 2021

The emerging Fifth Generation (5G) network technology brings us a new demand for low latency services. However, it may not be possible for long-distanced cloud computing servers to support users with satisfactory low latency services. For this reason, Multi-access Edge Computing (MEC) technology are gaining attraction since it is designed to provide low latency services to users by placing cloud computing resources to base-stations or mobile switching centers nearby users. Accordingly, it is necessary to verify the deployed containers on the MECs are reliable enough to provide low latency services empirically. For the purpose, we develop a testing tool to verify the reliability as well as network resources status of running MECs by deploying containers on the MECs in a Kubernetes environment.

• Journal of Internet Computing and Services
• /
• v.24 no.2
• /
• pp.1-10
• /
• 2023

The Multi-access Edge Computing (MEC) paradigm equips network edge telecommunication infrastructure with cloud computing resources. It seeks to transform the edge into an IT services platform for hosting resource-intensive and delay-stringent services for mobile users, thereby significantly enhancing perceived service quality of experience. However, erratic user mobility impedes seamless service continuity as well as satisfying delay-stringent service requirements, especially as users roam farther away from the serving MEC resource, which deteriorates quality of experience. This work proposes a deep reinforcement learning based service mobility management approach for ensuring seamless migration of service instances along user mobility. The proposed approach focuses on the problem of selecting the optimal MEC resource to host services for high mobility users, thereby reducing service migration rejection rate and enhancing service availability. Efficacy of the proposed approach is confirmed through simulation experiments, where results show that on average, the proposed scheme reduces service delay by 8%, task computing time by 36%, and migration rejection rate by more than 90%, when comparing to a baseline scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.31-32
• /
• 2022

Commercialized game engines help develop content and support various platforms, but there are performance differences depending on the function. In this paper, a VR video conferencing platform corresponding to source multi-use was implemented, and the connection delay time according to the type of game server engine and the number of platform users was measured. As a result of the measurement, the latency was the lowest at 22.146 msec when using the Amazon GameLift engine and with 2 users, and the latency was the highest at 27.007 msec when using the ProudNet engine and with 10 users.

• Proceedings of the ESK Conference
• /
• 1995.10a
• /
• pp.41-45
• /
• 1995

Menu-driven interfaces are frequently employed for user -system interfaces on many electronic products. Due to the space and budget constraint, a single or multi-line display is used to show menu items. Single or Multi-line display present 8 .approx. 21 characters on an LCD screen and users select items using a series of button pushes. Multi-line displays are different from the single-line ones in the following aspects. First, they can present multiple menu items at the same time. Second, they can present menu items in a various way, for example, same-depth presentation, sub-depth presentation, previous selection, etc. In this study, a human factors experiment is being conducted to examine the effects of three independent variables on the design of a multi-line display. Factors investigated include menu structure, number of lines on the display, item presentation methodl. Usability of the multi-line display is being measured quantitatively in terms of four different aspects: task completion time, accuracy, inefficiency, user preference. A set of design guidelines will be drawn from this study which can be applied to usef-system interfaces of a various types of consumer products.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.10
• /
• pp.121-128
• /
• 2017

In this paper, we propose a multi-label classification method in which multi-label classification estimation techniques are applied to resolving location prediction problem. Most of previous studies related to location prediction have focused on the use of single-label classification by using contextual information such as user's movement paths, demographic information, etc. However, in this paper, we focused on the case where users are free to visit multiple locations, forcing decision-makers to use multi-labeled dataset. By using 2373 contextual dataset which was compiled from college students, we have obtained the best results with classifiers such as bagging, random subspace, and decision tree with the multi-label classification estimation methods like binary relevance(BR), binary pairwise classification (PW).

• Journal of information and communication convergence engineering
• /
• v.8 no.4
• /
• pp.393-398
• /
• 2010

For multi-cell environments, coordinated random beamforming technique in multiuser MIMO(multiple-input multiple-output) broadcast channel is considered. In order to mitigate severe interference at receivers, the multi-cell environments might require complex transmitter and receiver design because the scheduler decision based on full channel state information (CSI) in one cell must be intertwined with decision made by other cells' CSI. With limited CSI, however, this paper considers a scheme of randomizing transmitters' beamforming but being coordinated with other cell transmitters. The transmitters in each cell share random beamforming patterns and schedule data transmission within coherent scheduling period. The corandomized beams allow the users to be selected with the highest SINRs even in multi-cell environments. We analyze the performance of the proposed scheme. And numerical results show that the scheme achieves better performance than the conventional random beamforming when applying to multi-cell environments.

• Journal of Positioning, Navigation, and Timing
• /
• v.8 no.1
• /
• pp.1-12
• /
• 2019

In this paper, we implement a navigation software of a Global Navigation Satellite System (GNSS) receiver based on a commercial purpose GNSS software receiver platform and verify its performance by performing experimental tests for various GNSS signals available in Korea region. The SX3, employed in this paper, is composed of an application program and a Radio Frequency (RF) frontend, and can capture and process multi-constellation and multi-frequency GNSS signals. All the signal processing procedure of SX3 is accessible by the receiver software designer. In particular for an easy research and development, the Application Programing Interface (API) of the SX3 has a flexible architecture to upgrade or change the existing software program, equipped with a real-time monitoring function to monitor all the API executions. Users can easily apply and experiment with the developed algorithms using a form of Dynamic Link Library (DLL) files. Thus, by utilizing this flexible architecture, the cost and effort to develop a GNSS receiver can be greatly reduced.

• Journal of Information Technology and Architecture
• /
• v.11 no.1
• /
• pp.63-73
• /
• 2014

As the advance of WWW, unstructured data including texts are taking users' interests more and more. These unstructured data created by WWW users represent users' subjective opinions thus we can get very useful information such as users' personal tastes or perspectives from them if we analyze appropriately. In this paper, we provide various analysis efficiently for unstructured text documents by taking advantage of OLAP (On-Line Analytical Processing) multidimensional cube technology. OLAP cubes have been widely used for the multidimensional analysis for structured data such as simple alphabetic and numberic data but they didn't have used for unstructured data consisting of long texts. In order to provide multidimensional analysis for unstructured text data, however, Text Cube model has been proposed precently. It incorporates term frequency and inverted index as measurements to search and analyze text databases which play key roles in information retrieval. The primary goal of this paper is to apply this text cube model to a real data set from in an Internet site sharing hotel information and to provide multidimensional analysis for users' reviews on hotels written in texts. To achieve this goal, we first build text cubes for the hotel review data. By using the text cubes, we design and implement the system which provides multidimensional keyword search features to search and to analyze review texts on various dimensions. This system will be able to help users to get valuable guest-subjective summary information easily. Furthermore, this paper evaluats the proposed systems through various experiments and it reveals the effectiveness of the system.