• Title/Summary/Keyword: IN/OUT data

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A Study on Personal Information Control and Security in Printed Matter (출력물에서의 개인 정보 제어 및 보안에 관한 연구)

  • Baek, Jong-Kyung;Park, Jea-Pyo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2415-2421
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    • 2013
  • Widespread personal data utilization has led personal data protection to its importance at core, and serious data spill has increased constantly as a result. Though various types of protection systems for data spill have been suggested, all these met failures in detection of personal data when printed out or preventing fatal data exposure without any protections when data spill happens. I propose API-Hook method which detects and controls personal data within printouts, and prevents data leakage through masking on the printed-out data. Also, it is verified if security is guaranteed on the documents containing personal data when implementing. In order to obtain security, it is essential to put more weights on the balance with availability than confidentiality.

A Study on Dining-out Behaviors of College Student in Cheju Do (제주도 대학생의 외식행동에 관한 연구)

  • 정은정;김정숙
    • Journal of the Korean Home Economics Association
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    • v.39 no.7
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    • pp.21-36
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    • 2001
  • The purpose of this study is to investigate dining out behavior of college student living in jeju. The data obtained from 533 questionnaires returned by college student. 36.9% of students indicated over-eating, 27.2% did skipping meal, 14.8% did unbalanced diet, and 11.3% did indulging in hot and spicy food as dietary problems of food habits. Many students consumed 5,000-10,000 won/one time. In the breakfast 63.6% of students did not eat out, in the lunch only 10.5%, and in the dinner only 1.7% did not. The students ate out to take a meal in the breakfast, to meet their friends in the lunch, and to meet their friends and to haute social meeting in the supper. They considered intake nutrition and time saving in the breakfast when they ate out. But in the lunch they had various purposes- intake nutrition, time saving, making with relationships, and enjoying taste of foods. In the supper two-thirds of students considered promoting friendship. The satisfaction of eating out was different significantly from types of living and length of mealtime.

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The Impact of Perceived Restaurant Crowding on Satisfaction, Dine-Out Intention, and Dine-In Intention (레스토랑의 지각된 혼잡성이 소비자의 만족 및 행동의도에 미치는 영향)

  • Moo Sung HA;Ji Ah LEE;Jae Yeon PARK
    • The Korean Journal of Franchise Management
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    • v.14 no.3
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    • pp.1-16
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    • 2023
  • Purpose: In the post-COVID-19, many consumers still feel uncomfortable with crowding in closed spaces. This study investigates how non-crowding affects consumer satisfaction and restaurant visit intention. Research design, data, and methodology: The data were collected from 350 people aged 20 and above. A total of 347 respondents, excluding 3 unfaithful respondents, were analyzed using Smart PLS 4.0 program. Result: Both spatial and human crowding have significant effects on satisfaction. On the other hand, neither spatial nor human crowding directly affected dine-out intention significantly. In addition, spatial crowding was found to have a direct and significant effect on in-store dining intention, but human crowding did not have a direct and significant effect on in-store dining intention. It was found that satisfaction had a significant effect on both dine-out intention and in-store dining intension. Conclusions: This study has expanded the range of consumer behavioral intentions by applying a non-crowded environment (S) to the SOR theory. Also, Consumer behavioral intention was expanded by dividing visit intention into a dine-out and in-store dining intention. Therefore, we propose measures to minimize human crowding by introducing a system such as adjustment of store operating hours, reservation system, store opening time alarm system, and reduction of cooking time.

Constructing Gene Regulatory Networks using Knock-out Data (Knock-out 데이터를 이용한 유전자 조절망의 구성)

  • Hong, Sung-Ryong;Sohn, Ki-Rack
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.105-113
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    • 2007
  • A gene regulatory network is a network of genes representing how genes influence the activities of other genes. Nowadays from microarray experiments, a large number of measurements on the expression levels of genes are available. One of typical data is the so-called "steady-state model" data measuring the expression levels of other genes after knocking out a particular gene. This paper shows how to reverse engineer a parsimonious gene regulatory network, using these measurement data. Our model considers auto-regulation, which forms a cycle in a genetic network. We also model repressor and enhancer roles of genes. which are not considered in previous known methods.

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The Design of Multi-FNN Model Using HCM Clustering and Genetic Algorithms and Its Applications to Nonlinear Process (HCM 클러스터링과 유전자 알고리즘을 이용한 다중 FNN 모델 설계와 비선형 공정으로의 응용)

  • 박호성;오성권;김현기
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.47-50
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    • 2000
  • In this paper, an optimal identification method using Multi-FNN(Fuzzy-Neural Network) is proposed for model ins of nonlinear complex system. In order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM clustering algorithm which carry out the input-output data preprocessing function and Genetic Algorithm which carry out optimization of model. The proposed Multi-FNN is based on Yamakawa's FNN and it uses simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rules. HCM clustering method which carry out the data preprocessing function for system modeling, is utilized to determine the structure of Multi-FNN by means of the divisions of input-output space. Also, the parameters of Multi-FNN model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. Also, a performance index with a weighting factor is presented to achieve a sound balance between approximation and generalization abilities of the model, To evaluate the performance of the proposed model, we use the time series data for gas furnace and the numerical data of nonlinear function.

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Data Management and Analysis in Foundry Industry (1) (주조공정 데이터 처리 및 분석 (1))

  • Cho, In-Sung
    • Journal of Korea Foundry Society
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    • v.42 no.1
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    • pp.35-41
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    • 2022
  • In the present paper, the data management of casting processes has been discussed. In order to construct a smart factory in the foundry industry, understanding of the whole casting processes has to be in the first place. Casting process data can be obtained at the kiosk operated by casting engineers and data acquired by sensors in the foundry facility. However, preprocessing of the casting process data must be carried out in order to analyze the casting process by the data. Techniques and some examples for data preprocessing in the foundry was introduced.

Study on the Eating Out Behavior of Middle School Students (중학생의 외식 실태에 대한 연구 - 2016년 청소년 식품소비행태조사 -)

  • Na, Ye-Seul;Jeon, Eun-Raye;Jung, Lan-Hee
    • Journal of the Korean Society of Food Culture
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    • v.34 no.3
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    • pp.284-295
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    • 2019
  • This study examined the actual condition of middle school students' dining out based on the data of the 2016 youth food behavior inquiry data of the Korea Rural Economic Institute. The eating out behavior of 278 middle school students' according to gender, average eating-out cost per person, average monthly eating out cost per person, weekly frequency of breakfast, and dietary information source were calculated into a chi-square value by cross analysis. The main results of this study are as follows. First, in middle school students' eating-out status, most students answered 'eating out', and the highest frequency of eating out was 1~3 times a week. The reason for eating out was 'to enjoy delicious food', and 'costly price' was the most common reason for not eating out. Food taste was the most common standard for selecting eating out, and a restaurant was the most common place to eat out. The main restaurant was the 'snack bar (kimbap specialized store)'. Second, there was no significant difference in all items of eating-out status according to the gender. A significant difference in eating out frequency was observed according to average eating-out cost per once (p< .001), standard for selecting eating out (p< .001), main eating out places (p< .001), and main restaurants (p< .01). There was a significant difference in the frequency of eating out (p< .001) in the eating-out status according to average eating out cost per month. Third, the eating-out status according to the breakfast frequency of middle school students had a significant difference in the reason for eating out (p< .001). The eating-out status according to the dietary information source of middle school students had a significant difference in eating out or not (p< .05) and the frequency of eating out (p< .05). These results highlight the importance of school diet education so that middle school students can achieve healthy eating habits and plan to increase their interest and utilization of school dietary education.

Experimental Evaluation of Distance-based and Probability-based Clustering

  • Kwon, Na Yeon;Kim, Jang Il;Dollein, Richard;Seo, Weon Joon;Jung, Yong Gyu
    • International journal of advanced smart convergence
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    • v.2 no.1
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    • pp.36-41
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    • 2013
  • Decision-making is to extract information that can be executed in the future, it refers to the process of discovering a new data model that is induced in the data. In other words, it is to find out the information to peel off to find the vein to catch the relationship between the hidden patterns in data. The information found here, is a process of finding the relationship between the useful patterns by applying modeling techniques and sophisticated statistical analysis of the data. It is called data mining which is a key technology for marketing database. Therefore, research for cluster analysis of the current is performed actively, which is capable of extracting information on the basis of the large data set without a clear criterion. The EM and K-means methods are used a lot in particular, how the result values of evaluating are come out in experiments, which are depending on the size of the data by the type of distance-based and probability-based data analysis.

A Sensing Data Collection Strategy in Software-Defined Mobile-Edge Vehicular Networks (SDMEVN) (소프트웨어 정의 모바일 에지 차량 네트워크(SDMEVN)의 센싱 데이터 수집 전략)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.62-65
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    • 2018
  • This paper comes out with the study on sensing data collection strategy in a Software-Defined Mobile Edge vehicular networking. The two cooperative data dissemination are Direct Vehicular cloud mode and edge cell trajectory prediction decision mode. In direct vehicular cloud, the vehicle observe its neighboring vehicles and sets up vehicular cloud for cooperative sensing data collection, the data collection output can be transmitted from vehicles participating in the cooperative sensing data collection computation to the vehicle on which the sensing data collection request originate through V2V communication. The vehicle on which computation originate will reassemble the computation out-put and send to the closest RSU. The SDMEVN (Software Defined Mobile Edge Vehicular Network) Controller determines how much effort the sensing data collection request requires and calculates the number of RSUs required to support coverage of one RSU to the other. We set up a simulation scenario based on realistic traffic and communication features and demonstrate the scalability of the proposed solution.

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A Newly Designed Miniplate Staple for High Tibial Osteotomy (근위골절술을 위한 Staple 설계)

  • Mun, Mu-Seong;Bae, Dae-Kyung
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.05
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    • pp.19-22
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    • 1995
  • A biomechanical study was made to demonstrate the superior mechanical performance of the newly designed Miniplate staple to the conventional Coventry staple in high tibial osteotomy(HTO). Using twenty fresh porcine tibiae, the fixational strengh of the two different types of staple in HTO was compared. To minimize the error due to the specimen-to-specimen individuality, the bone mineral density of the tibiae was measured with a bone densitometry (Dual photon absorptionometer, Luner, USA) and those with $0.8\;{\sim}\;1.2\;gm/cm^2$ at the proximal tibia was used in the biomechanical test. Testing was performed on a material testing system (Autogram ET-5, Shimatzu, Japan) with aid of a commercial data processor (IBM 80386/ ASYST). Using two differant loading modes, 'pull-out' and 'push-out', the maximum resistant force required to release the staple from the substrate bone was recorded. In the pull-out test, ten non-osteotomized specimens were used and the staple was pullout by subjecting an axial tension on the head of the staple inserted. While in the pull-out test where ten tibiae osteotomized in the usual way of HTO were used, the staple was not directly loaded. In this testing, as a mimic condition of the natural knee, the distal part of the specimen tibia was pushed horizontally in order for the staple to be pulled out while the proximal tibia was fixed. The pull-out strength of Coventry staple and miniplate staple were found to be $27.88\;{\pm}\;5.12\;kgf$ and $182.47\;{\pm}\;32.75\;kgf$, respectively. The push-out strength of Coventry staple and miniplate staple were $18.40\;{\pm}\;4.47\;kgf$ and $119.95\;{\pm}\;19.06\;kgf$, respectively. The result revealed that miniplate staple had the pull-out/ push-out strength at least fivetimes higher than Coventry staple. Based on the measured data, it was believed that the newly designed miniplate staple could provide much better postoperative fixation in HTO. The postoerative application of long leg casting may not be needed after HTO surgery.

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