• 산업경영시스템학회지
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• 제44권3호
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• pp.98-105
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• 2021

The sensory stimulation of a cosmetic product has been deemed to be an ancillary aspect until a decade ago. That point of view has drastically changed on different levels in just a decade. Nowadays cosmetic formulators should unavoidably meet the needs of consumers who want sensory satisfaction, although they do not have much time for new product development. The selection of new products from candidate products largely depend on the panel of human sensory experts. As new product development cycle time decreases, the formulators wanted to find systematic tools that are required to filter candidate products into a short list. Traditional statistical analysis on most physical property tests for the products including tribology tests and rheology tests, do not give any sound foundation for filtering candidate products. In this paper, we suggest a deep learning-based analysis method to identify hand cream products by raw electric signals from tribological sliding test. We compare the result of the deep learning-based method using raw data as input with the results of several machine learning-based analysis methods using manually extracted features as input. Among them, ResNet that is a deep learning model proved to be the best method to identify hand cream used in the test. According to our search in the scientific reported papers, this is the first attempt for predicting test cosmetic product with only raw time-series friction data without any manual feature extraction. Automatic product identification capability without manually extracted features can be used to narrow down the list of the newly developed candidate products.

• 한국화재소방학회논문지
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• 제33권2호
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• pp.107-113
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• 2019

최근 지구 온난화 현상에 따라 낙뢰가 증가하고 있는 추세이며 산업시설과 인프라 설비에 사고 위험이 가중되고 있다. 특히 낙뢰가 정유 및 석유화학 공장의 시설물이나 저장탱크 등 인프라 설비에 떨어지는 경우 가동 중인 공장에 정전, 전자기기의 오동작이나 파손을 유발하거나 화재 폭발과 함께 동시 다발적이고 복합적인 재해를 초래하게 된다. 그러므로 낙뢰사고에 대한 체계적인 연구를 통하여 낙뢰에 대한 메커니즘의 이해 및 낙뢰에 의한 화재 폭발 발생 사례를 심층 분석하고, 조사 방법을 체계화하여 예방대책을 강구 할 필요가 있다. 본 연구는 낙뢰에 의해 석유화학공장의 폐수저장탱크 내부의 유증기가 폭발한 사례에 대해 사고 원인을 분석하고 그 원인에 따른 사전 예방대책을 제시하여 낙뢰에 의한 사고 발생을 예방하고자 한다.

• 전기전자학회논문지
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• 제24권4호
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• pp.1004-1010
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• 2020

본 논문은 단상 영구자석 동기전동기의 초기 회전자 자극 검출 기법을 제안한다. 대상 전동기는 저속 및 정지 상태에서 역기전력을 기반으로 위치 정보를 얻을 수 없다. 따라서 초기 개루프 기동이 필요하며 이 과정에서 저 전류 및 소프트 기동을 위한 초기 회전자 위치 정보가 필요하다. 제안하는 초기 회전자 자극 검출 알고리즘의 경우 비대칭 공극의 영향 및 영구자석 자속의 영향을 고려하였으며, 고주파 전압 신호 주입을 기반으로 정확한 검출을 위한 오프셋 전압을 이용하였다. 이때 고주파 전압 신호로부터 유도된 고주파 전류의 경우 가상의 dq축을 이용하여 유도된 전류의 최댓값 취득을 통해 회전자 영구자석 자극을 판별한다. 본 논문에서는 센서리스 운전의 저전류 및 소프트 기동을 위해 제안된 초기 회전자 자극 검출 알고리즘을 홀센서 신호를 근거로 효용성 및 타당성을 다수의 실험을 통해 검증하였다.

• 전기전자학회논문지
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• 제26권2호
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• pp.265-270
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• 2022

본 논문에서는 정지 좌표계 dq-축 전류를 기반으로 하는 비대칭 6상 PMSM의 스위치 개방 고장 검출 알고리즘을 제안한다. 본 논문에서의 해당 모터는 2개의 3상 권선이 30°의 전기적 위상차를 갖고 중성점이 분리된 비대칭 구조를 갖는다. 따라서 듀얼 3상 PWM 인버터와 스위치 개방 고장으로 인한 검출기법이 반드시 필요하다. 본 논문에서는 비대칭 6상 PMSM을 구동하기 위해 듀얼 dq축 전류 제어 방식을 사용하며 전역 통과 필터와 저역 통과 필터를 사용해 전류 변동을 감지하여 개방 고장이 발생한 스위치를 검출하는 방식을 제안한다. 제안한 방법의 효과와 유용성은 여러 실험을 통해 검증하였다.

• 한국전기전자재료학회논문지
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• 제35권1호
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• pp.18-23
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• 2022

이젯 프린팅은 직접적인 비접촉 마이크로 팹기술의 하나로서 노즐과 기판 사이에 강한 전기장을 가함으로써 넓은 범위의 마이크로/나노패턴 어레이를 구현할 수 있는 다목적 팹공정이다. 제조된 고분자/퀀텀닷 마이이크로 패턴의 모양과 두께는 자동화된 프린트 기계에 설치된 노즐 직경과 공정에 사용된 잉크 성분에 일반적으로 정밀한 의존성을 갖는다. 본 논문의 목적은 실험 결과에 영향을 미칠 수 있는 각각의 공정 변수 효과를 설명하기 위해서 이젯 프린팅된 고분자/퀀텀닷의 전형적인 실제 예를 설명하는데 있다. 여기서 우리는 마이크로/나노 해상도로 두께가 정밀하게 제어된 고분자/퀀텀닷 패턴을 제조할 수 있는 몇 가지 이젯 프린팅 공정을 구현하였다.

• Tribology and Lubricants
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• 제39권4호
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• pp.133-138
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• 2023

This paper presents a discussion on lubricating oil filters. The maintenance of lubricating oil filters can improve the performance of mechanical systems and extend the service life of the lubricating oil. Therefore, the effective management of the lubricating oil can extend the service life of the machine and reduce maintenance costs. A representative method for managing lubricating oil is filtering the lubricating oil using a lubricant filter. However, effectively managing a lubricating oil using a lubricant filter requires an understanding of the related knowledge. In this paper, we present the definition, classification, characteristics, specifications, performance, and self-cleaning function of lubricating oil filters. The lubricant filters are classified based on the filter material, filtering method, filtering location, and amount of filtered fluid. Cellulose and glass fiber materials are conventionally used as materials for lubricant filters, and recently, metal materials, which show excellent durability, are being increasingly adopted. The filtering methods can be classified into physical, chemical, magnetic, and electric field methods, and the lubricant filters can be classified according to their location in the lubrication system. The beta ratio and efficiency of the lubricant filter can be determined based on the performance of the filter. Finally, there are many products or technologies that add a self-cleaning function to the filter to remove foreign substances or contaminants for efficient management.

• 인터넷정보학회논문지
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• 제24권2호
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• pp.37-45
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• 2023

4차 산업혁명에 맞춰 스마트팩토리 구축을 위한 설비보전 기술들이 관심을 받으며 고도화되고 있다. 또한 스마트팩토리에 이어 스마트팜, 스마트 양식장에도 기술이 접목되고 있다. 그중에서도 순환여과식 양식장의 경우는 수조의 안정적인 수질 환경을 위해 물을 순환하는 펌프 모터가 존재한다. 순환여과식 양식장 펌프 모터 보전 활동은 예방 정비와 진동센서에서 취득된 데이터를 기반으로 수행한다. 예방정비는 사전계획 이전에 일어나는 이상에 대해서는 대처할 수 없으며 진동센서는 외부 환경에 영향을 받는다. 본 논문에서는 소음, 온도, 진동센서에 비해 외부 환경의 영향을 적게 받는 전류 센서를 통해 수집된 데이터를 기반으로 펌프 모터 이상 감지에 있어 Python 오픈소스인 ADTK를 활용하는 이상 감지 알고리즘을 제안한다.

• 무역학회지
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• 제45권2호
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• pp.51-65
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• 2020

According to an analysis of 560 foreign-invested companies investing in South Korea's manufacturing industry, the following three facts were found. First, the proportion of sales by manufacturing foreign-invested companies is divided into 68.5 percent of domestic sales and 31.5 percent of exports. From 68.5 percent of domestic sales, sales to Korean companies are 60.5 percent, including 37.1 percent for large companies and 23.4 percent for small and medium-sized companies, while only 8.0 percent for domestic consumers. Second, the investment sectors of manufacturing foreign-invested enterprises are 'machine and equipment manufacturing', 'chemical and chemical-chemical material manufacturing-excluding pharmaceuticals', 'electronic components, computers, video, sound and communication equipment manufacturing' and 'vehicle and trailer manufacturing'. It overlaps with electric·electronics, petro-chemicals and automobiles, which are Korea's main industries and areas of Korean global companies. Third, 31.5 percent of the sales of foreign-invested companies in the manufacturing sector are exported. Foreign-invested companies export their products to use them for their parents or affiliates or to the third countries. The analysis shows that foreign-invested companies invested in Korea for B2B transactions with Korean companies. The implications are that Korea can attract foreign investments by utilizing Korean companies' demand for intermediate goods. Foreign-invested companies can invest in Korea in order to use Korea, which has signed free trade agreements with the US, the EU and ASEAN, as an export platform.

• Geomechanics and Engineering
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• 제35권5호
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• pp.487-497
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• 2023

Penetration rate (PR) and penetration depth (Pe) are crucial parameters for estimating the cost and time required in tunnel construction using tunnel boring machines (TBMs). This study focuses on investigating the impact of rock strength on PR and Pe through full-scale experiments. By conducting controlled tests on rock-like specimens, the study aims to understand the contributions of various ground parameters and machine-operating conditions to TBM excavation performance. An earth pressure balanced (EPB) TBM with a sectional diameter of 3.54 m was utilized in the experiments. The TBM excavated rocklike specimens with varying uniaxial compressive strength (UCS), while the thrust and cutterhead rotational speed were controlled. The results highlight the significance of the interplay between thrust, cutterhead speed, and rock strength (UCS) in determining Pe. In high UCS conditions exceeding 70 MPa, thrust plays a vital role in enhancing Pe as hard rock requires a greater thrust force for excavation. Conversely, in medium-to-low UCS conditions less than 50 MPa, thrust has a weak relationship with Pe, and Pe becomes directly proportional to the cutterhead rotational speed. Furthermore, a strong correlation was observed between Pe and cutterhead torque with a determination coefficient of 0.84. Based on these findings, a predictive model for Pe is proposed, incorporating thrust, TBM diameter, number of disc cutters, and UCS. This model offers a practical tool for estimating Pe in different excavation scenarios. The study presents unprecedented full-scale TBM excavation results, with well-controlled experiments, shedding light on the interplay between rock strength, TBM operational variables, and excavation performance. These insights are valuable for optimizing TBM excavation in grounds with varying strengths and operational conditions.

• 마케팅과학연구
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• 제19권2호
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• pp.17-26
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• 2009

As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.