• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• The Journal of the Acoustical Society of Korea
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• 제26권1E호
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• pp.1-7
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• 2007

One result of the trend towards globalization is an increased number of projects that focus on natural language processing. Automatic speech recognition (ASR) technologies, for example, hold great promise in facilitating global communications and collaborations. Unfortunately, to date, most research projects focus on single widely spoken languages. Therefore, the cost to adapt a particular ASR tool for use with other languages is often prohibitive. This work takes a more general approach. We propose an International Phoneticizing Engine (IPE) that interprets input files supplied in our Phonetic Language Identity (PLI) format to build a dictionary. IPE is language independent and rule based. It operates by decomposing the dictionary creation process into a set of well-defined steps. These steps reduce rule conflicts, allow for rule creation by people without linguistics training, and optimize run-time efficiency. Dictionaries created by the IPE can be used with the Sphinx speech recognition system. IPE defines an easy-to-use systematic approach that can lead to internationalization of automatic speech recognition systems.

• 융합신호처리학회논문지
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• 제19권4호
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• pp.162-166
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• 2018

자동공급조절기를 사용하는 기업체에서는 대량 생산을 위해 여러 대의 피더를 근접해서 사용하고 있다. 이런 경우, 피더를 독립적으로 사용할 때와 달리, 비동기화로 인한 공진현상이 발생하여 이송품이 서로 부딪히거나 한쪽으로 쏠려서, 다음 프로세스로 운송되지 못하게 된다. 불안정한 공진현상이 일어날 때마다, 작업자는 각각의 피드컨트롤러의 값을 다시 설정하여야 한다. 본 논문에서는 이러한 문제를 해결하기 위해 피드를 여러 대 사용하는 자동공급조절기에 적합한 동기화 알고리즘을 제안하고, 성능 개선을 확인하고자 한다.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.147-154
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• 2009

최근에 초고속 네트워크 인프라가 빠른 속도로 발전하고 있어 기존의 가전기기들이 디지털화 되어 네트워크로 연동됨으로써 가전기기들이 원격제어 되어지는 단계로 진화되고 있다. 또한, 홈 네트워크와 초고속 네트워크 인프라를 연동하여 인터넷상에서 가전기기들을 제어하고 모니터링 하는 연구가 활발히 진행되고 있다. 따라서, 본 논문에서는 무선센서와 마이크로컨트롤러를 이용한 실내 환경 자동제어 시스템에 대해서 기술한다. 저전력, Zigbee센서와 무선모듈을 이용하여 실내온도를 측정하였으며, ATmega128 마이크로컨트롤러를 이용해 댁내에 있는 각 장치(온도,조도,습도)등을 사용하였으며 가습기, 선풍기 등을 제어하는 시스템을 구현하였다. 이러한 무선센서와 마이크로컨트롤러의 기반으로 인해 홈 네트워크 분야에서 다양하게 사용할 수 있으며, 홈 네트워크 분야뿐만 아니라 여러 산업분야에서 다양하게 응용할 수가 있다.

• 한국멀티미디어학회논문지
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• 제10권12호
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• pp.1566-1576
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• 2007

Camera pose information from 2D face image is very important for making virtual 3D face model synchronize with the real face. It is also very important for any other uses such as: human computer interface, 3D object estimation, automatic camera control etc. In this paper, we have presented a camera position determination algorithm from a single 2D face image using the relationship between mouth position information and face region boundary information. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into $YC_bC_r$ color space and use the visible chrominance feature of face in this color space to detect human face region. And then for face candidate, use the nearly reversed relationship information between $C_b\;and\;C_r$ cluster of face feature to detect mouth position. And then we use the geometrical relationship between mouth position information and face region boundary information to determine rotation angles in both x-axis and y-axis of camera position and use the relationship between face region size information and Camera-Face distance information to determine the camera-face distance. Experimental results demonstrate the validity of our algorithm and the correct determination rate is accredited for applying it into practice.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.304-308
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• 2008

본 논문은 원격 수도 검침을 위한 수도 사용량의 측정 방법 빛 검침 시스템에 적합한 통신 환경을 제안한다. 기존의 수도 검침 방법은 사람의 손으로 직접 사용량을 확인 및 기록하는 방식으로 수도 검침 값의 오차 및 인력 수급의 문제가 발생하였다. 본 논문에서는 기존의 문제점을 해결하기 위해 Photo Interrupt Sensor를 이용하여 수도의 사용량을 Data로 전환하며 원격지에서 Data 값의 확인을 위해 IEEE 802.15.4 Protocol을 활용하여 원격검침 System에 적합한 무선 통신 환경을 제안한다.

• 한국기계가공학회지
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• 제15권3호
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• pp.135-146
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• 2016

This study investigated the effect of the changes in metal characteristics due to the hot forging on SCR420HB applied to ensure the optimal production of the hot-forging ratio on the mechanical properties of an automotive automatic transmission gear. The microstructural changes in the forging ratio were investigated by adjusting the forging range into multiple ranges from alloy steel. This was done in order to set the optimum forging range given the manufacturing process conditions during the hot forging of alloy steel parts with a carbon content of more than 0.8% wt. The effects of the content change in the microstructure on the mechanical properties due to the use of the part were examined.

• 한국콘텐츠학회논문지
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• 제15권3호
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• pp.1-10
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• 2015

멜로디를 바탕으로 코드 악보를 생성해주는 작업은 음악의 채보 및 편곡과 직결되는 중요한 악보 작업이다. 하지만 자연스러운 코드악보 생성을 위해서는 풍부한 화성학적 배경 지식이 요구되기 때문에 음악 입문자들이 수행하기에는 큰 어려움이 따른다. 본 연구에서는 이러한 문제점을 해결하기 위해 멜로디 악보를 입력받아 자동으로 코드 악보를 생성하는 프로그램 'ACGP(Automatic Chord Generating Program)'를 개발하였다. ACGP는 유전알고리즘에 기반을 두어 다양한 화성학적 요인들과 사용자가 원하는 곡의 분위기를 효율적으로 고려할 수 있으며 이를 통해 더욱 화성학적으로 안정된 완성도 높은 코드 악보를 생성할 수 있다. 또한 편리한 사용자 인터페이스를 통하여 음악에 처음 접하는 비전문가들도 손쉽게 작업할 수 있도록 구현되었다. 또한 ACGP로 생성된 코드악보와 일반적으로 통용되는 코드악보를 비교 분석함으로 써 프로그램의 적절성을 입증하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2008년도 하계학술대회 논문집
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• pp.574-576
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• 2008

Now there are two types Non-contact compensation AC automatic voltage regulator (A.V.R). One is transformer compensation regulator, whose principle is the combination of multiple compensation transformers, do the compensation by turning on and off the connections of the transformer through the multi-full bridge circuit. This method removed the mechanical drive and contacts, which increases the life and the dynamic performance of the A.V.R. However, the compensation is multilevel, and it needs many compensation transformers and switches, the circuit is complex, the compensation precision is low. Another type is PWM switch AC regulator, whose principle is getting the AC voltage from the input, then induce the AC compensation voltage through commutating and high frequency PWM transforming, and phase tracking. Here the compensation is step-less, the compensation precision is high, and the response is fast. But the circuit is complex, and it needs an inverse compensation transformer, which is difficult to realize high-power applications. In this paper, it shows an Automatic Voltage Regulator which use high frequency PWM inverter do compensation. This A.V.R has the function as the custom-power, which make the performance of the power supply in a high level.

• 전기전자학회논문지
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• 제23권4호
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• pp.1134-1139
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• 2019

One of the most important applications of computer vision algorithms is the detection of threat objects in x-ray security images. However, in the practical setting, this task is complicated by two properties inherent to the dataset, namely, the problem of class imbalance and visual complexity. In our previous work, we resolved the class imbalance problem by using a GAN-based anomaly detection to balance out the bias induced by training a classification model on a non-practical dataset. In this paper, we propose a new method to alleviate the visual complexity problem by using a KNN-based automatic cropping algorithm to remove distracting and irrelevant information from the x-ray images. We use the cropped images as inputs to our current model. Empirical results show substantial improvement to our model, e.g. about 3% in the practical dataset, thus further outperforming previous approaches, which is very critical for security-based applications.