• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1332-1337
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• 2006

In this paper, a noble second stage hetero-estimator is used for positioning error detection in mobile robot. Previous methods are either expensive in the case of positioning error correction or not able to detect positioning error. To overcome the latter shortage, the positioning error detection is performed using second stage hetero-estimator in motor model of mobile robot without any additional costs. A Kalman filter in the estimator gets the residual of motor current and an adaptive self-tunning filter checks the whiteness of the residual. Some simulation results show the possibility of the proposed method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.993-998
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• 2020

The technology of interiors is currently developing around the world. According to various studies, the use of plants to create an environment in the home interior is increasing. However, households using furniture are designed as environment-friendly environment interiors, and in Korea and abroad, plants are used for home interiors. Unexpected accidents are occurring. As a result, there were books and broadcasts about the dangers of specific plants, but until now, accidents continue to occur because they do not properly recognize the dangers of specific plants. Therefore, in this paper, we propose a toxic plant identification system based on a multiplicative neural network model that identifies common toxic plants commonly found in Korea. We propose a high efficiency model. Through this, toxic plants can be identified with higher accuracy and safety accidents caused by toxic plants.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.76-81
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• 2017

외국어로 구성된 용어를 발음에 기반하여 자국의 언어로 표기하는 것을 음차 표기라 한다. 국가 간의 경계가 허물어짐에 따라, 외국어에 기원을 두는 용어를 설명하기 위해 뉴스 등 다양한 웹 문서에서는 동일한 발음을 가지는 외국어 표기와 한국어 표기를 혼용하여 사용하고 있다. 이에 좋은 검색 결과를 가져오기 위해서는 외국어 표기와 더불어 사람들이 많이 사용하는 다양한 음차 표기를 함께 검색에 활용하는 것이 중요하다. 음차 표기 모델과 음차 표기 대역 쌍 추출을 통해 음차 표현을 생성하는 기존 방법 대신, 본 논문에서는 신뢰할 수 있는 다양한 음차 표현을 찾기 위해 문서에서 음차 표기 후보를 찾고, 이 음차 표기 후보가 정확한 표기인지 판별하는 방식을 제안한다. 다양한 딥러닝 모델을 비교, 검토하여 최종적으로 음차 표기 대역 쌍 판별에 특화된 모델인 Distance LSTM-CNN 모델을 제안하며, 제안하는 모델의 Batch Size 영향을 줄이고 학습 시 수렴 속도 개선을 위해 Layer Normalization을 적용하는 방법을 보인다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.541-545
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• 2018

본 논문에서는 Sent2Vec을 이용한 문장 임베딩으로 구현한 유사 문장 판별 시스템을 제안한다. 또한 한국어 특성에 맞게 모델을 개선하여 성능을 향상시키는 방법을 소개한다. 고성능 라이브러리 구현과 제품화 가능한 수준의 완성도 높은 구현을 보였으며, 자체 구축한 평가셋으로 한국어 특성을 반영한 모델에 대한 P@1 평가 결과 Word2Vec CBOW에 비해 9.25%, Sent2Vec에 비해 1.93% 더 높은 성능을 보였다.

• Smart Media Journal
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• v.9 no.3
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• pp.98-106
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• 2020

Currently, as Internet users increase, the use of swearword is indiscriminately increasing. As a result, cyber violence among teenagers is increasing very seriously, and among them, cyber-language violence is the most serious. In order to eradicate cyber-language violence, research on detection of swearword has been conducted, but the method of detecting swearword by looking at the meaning of words and the flow of context is insufficient. Therefore,in this paper,we propose a method of detecting swearword using FastText model and LSTM model so that deliberately modified swearword and standard language can be accurately detected by looking at the flow of context.

• The Journal of Korean Association of Computer Education
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• v.13 no.6
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• pp.79-89
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• 2010

In this paper, we proposed a method to find out similar sentences from documents to detect plagiarized documents. The proposed model adapts LSA and N-gram techniques to detect every type of Korean plagiarized sentence type. To evaluate the performance of the model, we constructed experimental data using students' essays on the same theme. Students made their essay by intentionally plagiarizing some reference documents. The experimental results showed that our proposed model outperforms the conventional N-gram model, Vector model, LSA model in precision, recall, and F measures.

• The Inventors News
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• no.9
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• pp.6-6
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• 2003

특허침해 판별법 - 비즈니스 모델 특허출원 줄었다 - 가짜 이메일 주소 판별 솔루션, 특허 획득 - `가문(家門) 컨설팅` 특허 출원

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.41 no.11
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• pp.16-23
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• 2012

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.411-420
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• 2019

Camera model identification has been a subject of steady study in the field of digital forensics. Among the increasingly sophisticated crimes, crimes such as illegal filming are taking up a high number of crimes because they are hard to detect as cameras become smaller. Therefore, technology that can specify which camera a particular image was taken on could be used as evidence to prove a criminal's suspicion when a criminal denies his or her criminal behavior. This paper proposes a deep learning model to identify the camera model used to acquire the image. The proposed model consists of four convolution layers and two fully connection layers, and a high pass filter is used as a filter for data pre-processing. To verify the performance of the proposed model, Dresden Image Database was used and the dataset was generated by applying the sequential partition method. To show the performance of the proposed model, it is compared with existing studies using 3 layers model or model with GLCM. The proposed model achieves 98% accuracy which is similar to that of the latest technology.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.37-45
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• 2012

The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.