• Design & Manufacturing
• /
• 제14권3호
• /
• pp.17-22
• /
• 2020

As devices such as smartphones, tablet PC, and wearable devices have been miniaturized, the connectors that go into the devices are also designed to be very small. The connector combines the plug and the receptacle to transfer electricity. As devices are miniaturized, the contact shape is formed by partially thinning the thickness of the raw material of the terminal in order to lower the coupling height of the plug and receptacle. The product used in this study is a receptacle terminal used for 0.4mm pitch board to board connector among fine pitch connectors. When the material thickness is reduced by forging the receptacle terminal, the width change of the pin is checked. To reduce the thickness of the material by forging, pre-notching is applied in the first step, forging in the second step, and notching in the third step. After forming the width dimension of the pin to 0.28 mm in the pre-notching process, in the forging process, the material thickness 0.08 mm and 0.02 mm (25%) were forged and the thickness was changed to 0.06 mm and the width change amount of the pin was measured. The facility produced 10,000 pieces at 400 SPM using a Yamada Dobby (MXM-40L) press, and thirty pins were measured and the average value was shown. After forging by using C5210-H (HP) and NKT322-EH, which are frequently used in connectors, analyze the amount of change in each material. The effect of punching oil on forging is investigated by appling FM-200M, which is highly viscous, and FL-212, fast drying oil. This study aims to minimize mold modification by predicting the amount of material change after forging.

• Biomolecules & Therapeutics
• /
• 제8권1호
• /
• pp.63-72
• /
• 2000

We intended to show some basic requirements for spectrum analysis of electroencephalogram (EEG) by visualizing the differences of the results according to different values of some parameters for analysis. Spectrum analysis is the most popular technique applied for the quantitative analysis of the electroen- cephalographic signals. Each step from signal acquisition through spectrum analysis to presentation of parameters was examined with providing some different values of parameters. The steps are:(1) signal acquisition; (2) spectrum analysis; (3) parameter extractions; and (4) presentation of results. In the step of signal acquisition, filtering and amplification of signal should be considered and sampling rate for analog-to-digital conversion is two-time faster than highest frequency component of signal. For the spectrum analysis, the length of signal or epoch size transformed to a function on frequency domain by courier transform is important. Win dowing method applied for the pre-processing before the analysis should be considered for reducing leakage problem. In the step of parameter extraction, data reduction has to be considered so that statistical comparison can be used in appropriate number of parameters. Generally, the log of power of all bands is derived from the spectrum. For good visualization and quantitative evaluation of time course of the parameters are presented in chronospectrogram.

• 한국컴퓨터정보학회논문지
• /
• 제18권11호
• /
• pp.23-30
• /
• 2013

본 논문에서는 MapReduce 작업처리시간을 줄일 수 있는 선 정렬 기반 태스크 스케줄링 기법을 제안한다. 태스크와 그 태스크가 처리할 데이터가 동일 노드에 존재하지 않으면 해당 태스크는 다른 노드로부터 데이터를 전송받아 처리한다. 이때 전송시간으로 인해 MapReduce의 작업처리시간이 증가하는 문제점이 발생한다. 이러한 문제점을 해결하기 위해 본 논문에서는 두 단계로 태스크를 스케줄링한다. 첫 번째 단계에서는 데이터 지역성이 높은 순으로 태스크를 노드 리스트에 정렬한다. 두 번째 단계에서는 데이터의 위치정보를 이용하여 태스크들이 데이터 지역성을 높일 수 있도록 교환하여 스케줄링한다. 본 논문에서는 제안한 스케줄링 기법의 성능평가를 위해 소규모 Hadoop 클러스터를 구현하여 실험하였다. 제안한 기법을 적용하였을 때 작업처리시간이 약 18% 감소하였으며 데이터가 저장된 노드에 할당되지 않은 태스크 수는 약 25% 감소하였다.

• Journal of Microbiology and Biotechnology
• /
• 제9권2호
• /
• pp.179-183
• /
• 1999

A recombinant form of hirudin, a potent thrombin-specific inhibitor derived from the bloodsucking leech, was expressed as a secretory product in Saccharomyces cerevisiae under the control of GALl0 promoter and the mating factor $\alpha$pre-pro leader sequence. In an attempt to produce recombinant hirudin (r-Hir) of therapeutic purity in large quantities, the fed-batch fermentation was carried out by using this recombinant yeast, and subsequently downstream processing was developed with the preparative-scale column chromatography systems. About 234 mg/l of biologically active r-Hir was produced as a secretory product by the fed-batch fermentation strategy developed for an efficient downstream processing. Using a two-step chromatography process (an anion exchange chromatography followed by the reverse phase HPLC), the r-Hir was purified to>98% with an overall recovery yield of 84%. According to the N-terminal amino acid sequencing, the purified r-Hir was found to have the predicted N-terminal amino acid sequence. The biological activity of the purified r-Hir to inhibit thrombin was also identical to that of the commercial hirudin.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2021년도 추계학술대회
• /
• pp.574-575
• /
• 2021

재제조(Re-manufacturing)는 제품의 수명이 다하여 폐기단계에 있는 사용 후 제품이나 부품을 회수하여 재처리 후 신제품 조립공정과 같은 재조립 과정을 거쳐 본래 가지고 있던 제품의 기능 및 성능을 회복하도록 하는 제조방법의 하나이다. 재재조 산업은 환경보호 측면 뿐만 아니라 경제적 측면 또한 중요하다. 산업전반의 성패는 제품에 대한 신뢰 및 가격 경쟁력에 달려있다. 제품 제조 공정에서 인건비를 줄이고 제품의 신뢰도를 향상시키기 위해 영상처리 시스템을 이용한다. 본 연구에서는 폐드럼을 재생하기 위해 전처리 단계인 재활용 여부 판단 단계 및 드럼을 재생한 후 출고직전 영상처리를 이용하여 사람의 육안으로 식별이 어려운 이물질 및 불량을 검출한다.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제55권1호
• /
• pp.35-41
• /
• 2006

Although reachers have studied for a long time, they don't make criteria for anesthesia depth. anesthetists can't make a prediction about patient's reaction. Therefor, patients have potential risk such as poisonous side effect late-awake, early-awake and strain reaction. EEG are received from twenty-five patients who agreed to investigate themselves during operation with Enflurane-anesthesis in progress of anesthesia. EEG are divided pre-anesthesia, before incision of skin, operation 1, operation 2, awaking, post-anesthesia by anesthesia progress step. EEG is applied pre-processing, base line correct, linear detrend to get more reliable data. EEG data are handled by electronic processing and the EEG data are calculated by bicoherence. During pre-anesthesia and post anesthesia, appearance rate of bicoherence value is observed strong appearance rate in high frequency range($15\~30Hz$). During the anesthesia of patient, a strong appearance rate is revealed the low frequency area(0~10Hz). After bicoherence is calculated by percentage of a appearance rate, that is, Bicpara$\#$1, Bicpara$\#$2, Bicpara$\#$3 and Bicpara$\#$4 parameter are extracted. In result of bicoherence analysis, Bicpara$\#$2 and Bicpara#4 are considered that the best parameter showed progress of anesthesia effectively. And each separated bicoherence are calculated by average bicoherence's numerical value, divide by 2 area, appear by each BicHz$\#$1, BicHz$\#$2, and observed BicHz$\#$1/BicHz$\#$2's change. In result of bicoherence analysis, BicHz$\#$1, BicHz$\#$2 and BicHz$\#$1/BicHz$\#$2 are considered that the best parameter showed progress of anesthesia effectively. In conclusion, I confirmed the anesthesia progress phase, concluded to usefulness of parameter on bispectrum and bicoherence analysis and evaluated the depth of anesthesia. In the future, it is going to use for doctor's diagnosis and apply to protect an medical accident owing to anesthesia.

• Spatial Information Research
• /
• 제19권5호
• /
• pp.1-11
• /
• 2011

본 연구에서는 기존에 구축된 고해상도 항공영상을 이용한 영상변화 탐지과정에서 보다 정확도 높은 풍수해 정보를 추출하는 방법에 대해 연구하였다. 연구 대상지역은 2008년 국지성 호우로 인해 큰 피해를 입은 경상북도 봉화군의 춘양면 일대를 선정하였다. 연구에서 활용된 항공영상은 해상도 30cm의 피해 전 흑백영상과 40cm의 피해 후 칼라 영상을 사용하였다. 영상분석에 있어 전처리 단계로서 피해 전 후 영상의 해상도 차이나 시계열적인 차이로 인한 오차 보정을 위하여 노멀라이징과 대비강조, 이퀄라이징의 기법을 적용하여 오차를 최소화하였다. 피해규모는 피해 전 후 영상을 구성하는 각 화소의 밝기 값을 1:1로 비교하는 방식으로 산정하였으며, 이 과정에서 피해 전 후 화소 밝기의 차이 값을 설정하여 조사자가 원하는 피해규모를 추출할 수 있도록 임계치를 설정하였다. 최적의 영상처리 및 임계치 선정의 결과는 오차매트릭스를 이용하여 확인하였다. 본 연구의 결과는 피해정보 추출 과정에서 동일한 제원을 갖는 항공영상을 이용하여 신속한 자연재해로 인한 피해규모의 산출이 가능하도록 하였다. 아울러 피해 전 후 다중밴드 영상을 추가로 확보하여 활용한다면 보다 다양한 피해항목에 대한 적용이 가능할 것으로 판단되었다. 나아가 토지피복분류도나 지적도 등 다양한 주제도를 영상변화 탐지에 활용한다면 정량적인 피해규모의 산출도 가능할 것으로 사료된다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제3권2호
• /
• pp.81-86
• /
• 2014

본 논문에서는 스마트폰 사용자의 실시간 상황 인식을 위한 효과적인 사운드 분류 시스템을 제안한다. 이 시스템은 전처리 과정에서 입력 사운드 데이터로부터 고요한 사운드와 화이트 노이즈를 미리 여과해버림으로써, 제한적인 계산 자원의 불필요한 소모를 막을 수 있다. 또한 에너지 레벨이 낮은 사운드 데이터들은 사전에 증폭시킴으로써, 이들에 대한 분류 성능을 향상시킬 수 있다. 또, 제안하는 사운드 분류 시스템은 HMM 분류 모델의 효율적인 학습과 적용을 위해 k-평균 군집화를 이용하여 특징 벡터들에 대한 차원 축소와 이산화를 수행한다. 한 대학 연구동내 일상생활로부터 수집한 8가지 유형의 사운드 데이터 집합을 이용하여 제안한 시스템의 성능 분석 실험을 수행하였다. 이 실험을 통해 본 논문에서 제안한 사운드 분류 시스템은 높은 분류 성능을 보여 주었다.

• Journal of Information Processing Systems
• /
• 제10권3호
• /
• pp.395-411
• /
• 2014

Temporal medical data is often collected during patient treatments that require personal analysis. Each observation recorded in the temporal medical data is associated with measurements and time treatments. A major problem in the analysis of temporal medical data are the missing values that are caused, for example, by patients dropping out of a study before completion. Therefore, the imputation of missing data is an important step during pre-processing and can provide useful information before the data is mined. For each patient and each variable, this imputation replaces the missing data with a value drawn from an estimated distribution of that variable. In this paper, we propose a new method, called Newton's finite divided difference polynomial interpolation with condition order degree, for dealing with missing values in temporal medical data related to obesity. We compared the new imputation method with three existing subspace estimation techniques, including the k-nearest neighbor, local least squares, and natural cubic spline approaches. The performance of each approach was then evaluated by using the normalized root mean square error and the statistically significant test results. The experimental results have demonstrated that the proposed method provides the best fit with the smallest error and is more accurate than the other methods.

• 센서학회지
• /
• 제30권6호
• /
• pp.429-435
• /
• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.