• International Journal of Reliability and Applications
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• v.4 no.2
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• pp.79-95
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• 2003

Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.597-598
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• 2009

최근의 국가 민간의 정보시스템을 위협하는 공격들은 점점 더 복잡해지고 정교해지고 있다. 이러한 공격들에 대응하기 위하여 범국가적으로 사이버안전센터들이 설립 운영되고 있다. 그러나 이러한 대량의 정보보호 데이터를 수집 분석 대응하는 것은 여러 가지 어려움들이 존재한다. 그 문제의 본질적인 부분은 바로 방대한 데이터의 양(量)이다. 다수의 보안관제 대상 인프라들의 모든 보안데이터를 수집 하는 것은 사실상 불가능하며, 대부분의 센터들은 네트워크 접점에 중앙관리형 보안인프라를 설치함으로써 그 해결점을 찾고 있지만, 이는 최근의 나타나고 있는 다차원적인 공격에 대응하기에는 한계가 있다. 본 논문에서는 이러한 다차원 분석시스템의 기본데이터가 되는 여러 보안정보를 효과적으로 수집할 수 있는 보안정보 수집체계를 제시하고자 한다.

• Journal of the Korean Society of Food Culture
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• v.21 no.1
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• pp.51-56
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• 2006

This research suggests critical and specific decisive variables that affect general service quality of the products in family restaurants, considering features of services in which consumption and production happens simultaneous by collecting the raw data through point of sales. It also analyses the factors and helps to offer them practical strategies by providing managers of the restaurants and marketers with empirical viewpoints based on the research. Generally, family restaurants need their own physical environment and are required to encourage customers to revisit themselves by maintaining pleasant environment as well as, considering space for customers and for employees' working routes and effective maintenance of the facilities. The result of the study also tells that even if the unimportant factors did not affect much on the restaurants, management over these factors can be a differentiated strategy for competitive advantage over the other businesses.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.3
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• pp.359-364
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• 2014

Objectives: The principal aim of this study is to provide fundamental data for suggesting substantial management plan of personal air sampler by investigating current situation of work environment monitoring service provider. Materials and Methods: The questionnaires regarding a personal air sampler were sent by electronic mail to 150 institutions, except for 22 institutions which are out of business or closed temporarily, among total 172 domestic work environment monitoring service providers designated by Ministry of Employment and Labor based on 2013. The institutions which did not reply to the questionnaire for 30 days were required directly by phone call. Finally 97 institutions gave an answer to the questionnaire and therefore the respondence rate was 65%. Results: The normal operation rate of personal air sampler exceeded 70% in all the types (particle, gas and both combination) in terms of purchased year. Furthermore the personal air sampler purchased recently showed a trend of high operation rate compared to the personal air sampler purchased previously. The distribution patterns of personal air sampler In terms of manufacturers were Gillian>MSA>SKC for particle, Gillian>SKC>AMETEK for gas and Gillian>MSA>Casella for both combination, respectively. As a result, it was found that the personal air sampler manufactured by Gillian company was utilized the most in domestic work environment monitoring service provider regardless of types of personal air sampler. Conclusions: Based on the results obtained from this study, the normal operation rate according to types of personal air sampler was as follows: 94% for personal air sampler for collecting particle only, 93% for personal air sampler for collecting gas only and 89% for collecting both particle and gas. Overall, the numbers of personal air sampler possessed and operated normally in domestic work environment monitoring service provider were 5,458 and 5,062, which indicates the normal operation rate of personal air sampler in total aspect is 93%.

• Advanced Industrial SCIence
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• v.1 no.1
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• pp.23-31
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• 2022

Cloud services, which started in the early 2000s as a method of using idle servers, are more active with the advent of the 4th industrial revolution, and are being used in many fields as an optimal platform that can be used for business by collecting and analyzing data. On the other hand, the Internet of Things is an environment in which all surrounding objects can freely connect to the Internet network anytime and anywhere to transmit sensed data. In the Internet of Things, data is transmitted in real time, so BaaS, that is, a cloud service for data only has been added. In this paper, among BaaS services for the Internet of Things, a back-end service method that manages data based on Parse Server is explained, and a service that helps patients in rehabilitation is presented using this. For this, a Raspberry Pi is used as a hardware environment, and it is connected to the Internet, collects patient movement information in real time, and manages it through the Parse Server.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.137-145
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• 2016

The explosive growth of social networking services based on smart devices popularize these relationships and activities online in accordance with the far larger impact of this on the real life offline, the interest and importance for the online activity is increasing. In this study, factors affecting the SNS activity are defined by object, user, influence direction, influence distance and proposed a method to measure organic terms in effect between the SNS users. Influence Direction and Influence Strength (or Distance) are elaborated by using the existing influence measurement element such as structured data - the number of friends, the difference between the number of contacts - and the new influence measurement element such as unstructured data - gap between the former time and the latter time, preference and type of response behavior - that occur in social network service. In addition, the system for collecting and analysing data for measuring influence from social network service and the process model on the method for measuring influence is tested by using sample data on Facebook and explained the implementation probability.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.435-451
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• 2021

The purpose of the study is to explore the experience of participants who have provided a chidlcare service, and to suggest implications for childcare service for adolescent parents. The author used a purposive sampling method to select 3 cases with experiences related to childcare service, collecting data via direct interview and by obtaining a written text describing their case management. An inductive (open) coding approach was utilized to draw themes and categories from the data. The 6 categories describing service providing experiences of the study participants include "motives for participate a childcare service", "contents of service provided by participants", "tries to establish relationship with adolescent parents", "deepening of understand about adolescent parents", "limits of providing services". Implications and future directions were discussed for childcare services on adolescent parents having crisis related to childbirth and child rearing.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.420-433
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• 2023

With the development of ICT technologies, various systems and services based on data have been introduced. Also, raising the importance of technologies that provide trust to a data, infrastructure, and services. for ICT services. However, in the existing ICT service environment, there is no way to objectively judge and manage the trust of various components (content, infrastructure, process, service provider, etc) that constitute a specific service, and there is a limitation that we can only rely on the service provider's own quality standards. This paper provides requirements, functional archtecture, and procedures for providing reliable ICT services from the perspective of ITU-T international standards. Trust-enabled service provisioning adds additional functions for providing trust to existing ICT service entities (service resources, stakeholders, and users), collecting, analyzing, and providing trust related information. Therefore, a users can consider the trust of various service components based on analyzed trust information based on their trust requirements.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.353-355
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• 2018

The aim of this paper is Although a large amount of sensor data is generated in the manufacturing process of a manufacturing company and the necessity of utilizing sensor data is felt, there is a real difficulty in collecting a large amount of sensor data and introducing analysis / service. Using W3C Web document standard format, XML based technology, it collects data to provide production status and equipment status information, and researches middleware for sensor data processing that user can analyze.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.