• 한국수학사학회지
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• 제19권4호
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• pp.97-106
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• 2006

격자의 기원은 수학에서 비롯된 것이 아니고 논리학에서 시작되었다([22]). 1880 년경 Peirce는 모든 격자는 분배 격자라고 생각하였으나 1890년경 $Schr{\"{o}}der$가 오류를 수정하였고, 1933년 Birkhoff가 lattice라는 단어를 처음 사용하였으나 이는 오늘의 격자와는 그 정의가 다르다. 이 논문에서는 Peirce를 소개하고 atomic 격자, atomistic 격자, J-격자, strong 격자 그리고 분배 격자의 상관관계를 연구한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 추계학술대회 논문집
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• pp.544-545
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• 2012

In recent years, vehicle manufacturers have steadily developed fuel saving technologies such as multi-speed automatic transmission. With such a background, the Hyundai-powertech have developed the new 6-speed rear wheel drive(RWD)automatic transmission for FR vehicles. Despite having six-speed, it has the same number of planetary gears as a previously used five-speed automatic transmission and fewer brakes and one-way clutches than the 5 A/T, meaning that it is light, compact, and inexpensive. But, in addition to meshing this internal and external gear simultaneously and phase difference by the tooth contact point and the time difference occurs asymmetric and symmetric sideband noise and vibration caused by the modulation in the vehicle. In this paper presents a method for the design of the carrier phase difference by developing various theories and experiments for gear noise.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 하계학술대회 논문집 A
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• pp.219-222
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• 1994

This thesis describes an observer of Switched Reluctance Motor for position. velocity and torque estimation using current sening. Inductance of SRM varies trapezoidally with respect to the rotor position. This means that the inductance of each phase is a periodic function with the same period. Under this condition. the observer with a constant gain can be developed though SRM has nonlinear characteristics. Because SRM has equivalent physical meaning with each period. The stability of error system which is the difference between actual system and observer system. is analyzed using Lyapunov and variable structure theory. The effectiveness of the proposed estimation is shown by various simulation.

• Journal of Information Processing Systems
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• 제14권4호
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• pp.980-988
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• 2018

Motion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilize motions as commands. HTC VIVE is an excellent device for estimating motions but only considers the positions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaning of motions can differ according to the orientations of the arms. Therefore, when the positions of arms are measured and utilized, their orientations should be estimated as well. This paper proposes a method for estimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The results showed that the proposed method estimated orientations with an error rate of about 19%, but the possibility of estimating the orientation of any body part without additional devices was demonstrated.

• 한국재난정보학회 논문집
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• 제5권1호
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• pp.122-139
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• 2009

USN Middleware plays roles of broker between sensors and applications. It collects sensor data, decides the situation and sends the result to the applications. It is not good to decide the situation from one sensor data, because it may error data or reflect small part of all. In this paper, we propose the disaster management model based on the concept 'group' and 'semantic information' from the sensing data. Group is the primary unit to decide the situation. It consists of several sensors which were installed in the same place and had the same pre-defined condition to act. For example, all fire sensors in the room simultaneously trigger the ring when the same pre-defined temperature is recorded. Then, the all fire sensors are included to the same one sensor group. All operations of the intelligent USN middleware are based on the 'group' unit. Disaster information is the result of the interpretation of the sensing data. based on the 'group', the disaster meaning is processed.

• 한국항해학회지
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• 제6권2호
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• pp.57-63
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• 1982

This paper deals with a mathematical model which explains process of aquisition or skillfulness of human. Especially, in the case of determinating a ship's position, a degree of aquisitiion or skillfulness has a significant meaning in the view point of reliability of a data because it is closely connected with the position error. In this paper, the authors have obtained the following mathematical model, who analyzed quantitavely the data obtained by a process of measuring the horizontal sextant angles and extracted the factors or parameters affecting the process of aquisition or skillfulness of human. Namely, $H=Me^{-iN}$ M : the coefficiency which represent the degree of difficulty in measuring the object i : personal parameter N : the number of measurements

• 대한음성학회:학술대회논문집
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• 대한음성학회 2003년도 5월 학술대회지
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• pp.163-167
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• 2003

Intonation as suprasegmental phonetic features conveys meanings on the postlexical or utterance level in a linguistically structured way. It includes three aspects: tunes, relative prominence, and intonational phrasing. In this article, I will treat how prosodic phrasing is functionally related to the listening comprehension of English by analysing the students' errors of listening comprehension. When utterance meaning is conveyed, it is realized to be divided into intonational phrases. The small intonational phrase is regarded as an intermediate phrase which has a primary accent and a phrase tone or audible break. Most students' errors of listening occurred with linking pronunciation in the intermediate phrases of the fast speech. Thus through the smallest unit with tune we can help students improve their pronunciation and listening ability of English.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.210-215
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• 2006

The environment of the enterprise changes very quickly, and the customers' needs ate becoming to be various. Only the enterprise can be securing a competitive high position if the enterprise knows well with the customer. Therefore, the enterprise must be confronted appropriately which grasps the requirement of he customer. The Kano presents quality dualism, it complemented a different meaning problem point and the Timko presented the customer satisfaction coefficient. But the model of the Timko which committed the error as well that does not consider the indifferent quality of he Kano. Hence, with this research hat proposes the method of analyzes the client demands accurately through Modified CS-coefficient. Then, apply the method on to the multiplex theater.

• 한국수학교육학회지시리즈A:수학교육
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• 제49권2호
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• pp.267-279
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• 2010

Mathematics is the subject which is distinctive in logical hierarchy, so the dificiency of prior learning or lack of understanding can result in learning disabilities of follow-up study. To minimize the learning disabilities, we should percieve student's problems and correct them through "Error Analysis" so that they can make up meaningful learning. Especially, in the case of division, its meaning is various, and the interpretation of the quotient and the remainder is the difference according to the caculation results, so students are likely to make errors often. Therefore, in this study, I presented the measures of how to instruct them under the circumstances in which division is applied by analyzing examples of incorrect answers.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.93-96
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• 2022

Natural language processing (NLP) is utilized to understand a natural text. Text analysis systems use natural language algorithms to find the meaning of large amounts of text. Text classification represents a basic task of NLP with a wide range of applications such as topic labeling, sentiment analysis, spam detection, and intent detection. The algorithm can transform user's unstructured thoughts into more structured data. In this work, a text classifier has been developed that uses academic admission and registration texts as input, analyzes its content, and then automatically assigns relevant tags such as admission, graduate school, and registration. In this work, the well-known algorithms support vector machine SVM and K-nearest neighbor (kNN) algorithms are used to develop the above-mentioned classifier. The obtained results showed that the SVM classifier outperformed the kNN classifier with an overall accuracy of 98.9%. in addition, the mean absolute error of SVM was 0.0064 while it was 0.0098 for kNN classifier. Based on the obtained results, the SVM is used to implement the academic text classification in this work.