• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.44-50
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• 2021

Recently, enterprise storage systems that require large-capacity storage devices to accommodate big data have used large-capacity flash memory-based storage devices with high density compared to cost and size. This paper proposes a high-efficiency life prediction method with slope descent to maximize the life of flash memory media that directly affects the reliability and usability of large enterprise storage devices. To this end, this paper proposes the structure of a matrix for storing metadata for learning the frequency of defects and proposes a cost model using metadata. It also proposes a life expectancy prediction policy in exceptional situations when defects outside the learned range occur. Lastly, it was verified through simulation that a method proposed by this paper can maximize its life compared to a life prediction method based on the fixed number of times and the life prediction method based on the remaining ratio of spare blocks, which has been used to predict the life of flash memory.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.277-287
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• 2021

The purpose of this study is to establish a model that can quantitatively diagnose personal color. Representative color systems for personal colors have limitations in that it oversimplify personal color diagnosis types or it is difficult to distinguish objective differences between diagnosis types. To develop a brand new color system that enhances this, a PCCS color system capable of logical color was introduced and reclassified based on the four main properties of color. Twenty diagnostic types, which are more diverse than the existing color system were proposed and a quantitative method was used to evaluate the degree of harmony with a subject to find an optimized type of subject. The experimenter's individual competency and subjective intervention were minimized by devising a matrix in which a type suitable for the subject is derived when the coded evaluation result is substituted. Finally a quantitative diagnosis model of personal color consisting of three stages: property diagnosis, coding, and seasonal diagnosis was constructed. It can be seen that this will give diversity, reliability, and accuracy to the existing diagnostic methods.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.115-126
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• 2021

This study develops a simulation model that performs flood analysis considering both urban and river flood. For the analysis of river flood, this study considers river overflow by levee breach, and reflects the concept of the dual drainage systems for the analysis of urban flood. In relation to the surface flood analysis, FEM technique is applied to the flood diffusion analysis in order to conduct the flow analysis of urban and river flood simultaneously. For the verification of the model, it is first applied to the conceptual model, and then applied to the actual watershed. It is expected that this study will be able to reduce flood damage and to prepare effective countermeasures to reduce flood damage.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.217-223
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• 2018

Real-time controllability has been a major challenge that should be addressed to ascertain the practical usage of the management systems. In this regards, for the first time, we proposed and implemented an IoT(Internet of Things)-based water tank system to improve convenience and efficiency. The reservoir can be effectively controlled by notifying the user if the condition of the reservoir is unstable. The proposed system consists of embedded H/W unit for sensor data measuring and controling, application S/W for deployment of management server via web and mobile app, and efficient database structure for managing and monitoring statistics. And machine learning algorithms can be applied for further improvements of efficiency in practice.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.85-93
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• 2019

There is currently no recognized standard for the size of lifts. Each elevator manufacturer sets the maximum allowable floor area that meets the capacity calculation standard of the elevator using the maximum used car floor area, which is defined by EN-CODE and the domestic inspection standard, and determines the elevator size based on their own standards. In this paper, we propose a method to more easily determine the elevator size. To do this, we implemented a program that calculates the size of the elevator by inputting the dimensions of the hoistway. This program will be useful method for quick decision making and elevator installation considering the elevator factors according to the already determined hoistway size of the building and calculating the EN-CODE currently used and the size of the elevator according to domestic inspection standards.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.74-85
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• 2019

The purpose of this study was to analyze the vocational rehabilitation service environment of the mentally facilities. Focus group interview (FGI) was conducted for obtain the data. According to the interview results, first, in providing vocational rehabilitation services for people with mental illness, comprehensive services should be provided considering various needs. Second, the facilities are not recognized as vocational rehabilitation facilities for people with disabilities. Therefore, it is operated according to the regulations on mental rehabilitation facilities in the Mental Health Welfare Act. Third, they need management supports. Finally, It raised the necessity of revising laws and systems that are not systematized without reflecting reality. Based on the results of this study, some suggestions are presented.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.9-19
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• 2019

The effects of artificial intelligence technology is social science research as research on the impact on industry and changes in daily life, etc. This means that developing 'emotion AI' will prepare 'next-generation 3D-vector-sensitive AI'. This suggests the main keywords of the tertiary AI decision-making power. Particularly important results will be achieved because of the importance of current unethical learning and the implementation of decision-making systems that reflect ethical value judgments. This is a data based simulation, and required (1)Available data, (2)the technology for the goal of simulation. This takes into account the general content of the intended simulation based research. Currently, existing researches focus on meaningful research motivation, but this study presents the direction of technology. So, empirical analysis is consistent with the decision-making power of each country vs. new technology firms for AI on ehtic responsibility. As a result, there is a need for a concrete contribution and interpretation that can be achieved for the ethic Responsibility, on the technical side of AI / ML. In AI decision making, analytic power of human empathy should be included tech own trust.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.1-12
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• 2019

A dialog system becomes a new way of communication between human and computer. The dialog system takes human voice as an input, and gives a proper response in voice or perform an action. Although there are several well-known products of dialog system (e.g., Amazon Echo, Naver Wave), they commonly suffer from a problem of out-of-domain utterances. If it poorly detects out-of-domain utterances, then it will significantly harm the user satisfactory. There have been some studies aimed at solving this problem, but it is still necessary to study about this intensively. In this paper, we give an overview of the previous studies of out-of-domain detection in terms of three point of view: dataset, feature, and method. As there were relatively smaller studies of this topic due to the lack of datasets, we believe that the most important next research step is to construct and share a large dataset for dialog system, and thereafter try state-of-the-art techniques upon the dataset.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.191-200
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• 2020

This study was conducted to identify the oral health status and management behavior and dental use behavior according to the level of education and income of the elderly, and to present the supporting data to prepare policies and systems for the promotion of elderly oral health. The data survey was conducted on 224 elderly people living in the Daejeon area from August 19, 2019 to October 25, 2019, and the collected data were analyzed by chi-square test and logistic regression analysis. As a result, oral health status and management behavior showed significant differences according to education and income level in denture use, implant use, oral hygiene product use, oral health education experience, and oral health management method. There was a significant difference in dental use behavior according to education and income level, and age, education level, implant use, and the main reasons for dental use were found to be factors affecting dental use. Therefore, it is expected that the quality of life of the elderly's oral health can be improved by preparing an institutional plan at the national that considers education and income level based on this study.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.229-237
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• 2021

Among the elderly and patients with mild brain diseases (such as dementia and stroke), when there is a certain degree of self-acting ability and cognitive ability, exercise and cognitive rehabilitation are often required. However, since most of the existing rehabilitation systems are separated or specialized in exercise or cognitive rehabilitation, there is a need for a form linking both. In this paper, we propose a game-type rehabilitation system that enables both exercise and cognitive rehabilitation using CAN communication protocol, one of ICT technologies. This system uses the CAN BUS structure to separate and combine each individual module constituting the rehabilitation system in various forms. A prototype of the proposed system was actually produced to show that various types of rehabilitation environments can be implemented according to the degree of cognitive ability and motor ability of the patient (or the elderly). In addition, through several experiments using this system, it is possible to implement exercise/cognitive parallel rehabilitation applicable to various environments.