• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.07a
• /
• pp.53-54
• /
• 2014

본 논문에서는 시각 장애인들을 위해 유용한 정보를 제공해 주기 위한 촉각표시장치의 효율적인 정보 표시 방법에 대해 제안한다. 이 방법은 전방에 장애물이 있을 경우 이를 인지 및 촉각 정보로 변환하여 제공함으로 인해 사고를 미연에 예방하고자 한다. 이 방법은 저가의 스테레오 카메라를 이용하여 경제적인 비용으로 구성이 가능하다.

• International Journal of Computer Science & Network Security
• /
• v.21 no.4
• /
• pp.284-288
• /
• 2021

Human-computer interaction is a discipline concerned with the design, evaluation, and implementation of interactive systems for human use. In this paper we suggest designing a smart deaf emergency application based on Human-Computer Interaction (HCI) principles whereas nowadays everything around us is becoming smart, People already have smartphones, smartwatches, smart cars, smart houses, and many other technologies that offer a wide range of useful options. So, a smart mobile application using Text Telephone or TeleTYpe technology (TTY) has been proposed to help people with deafness or impaired hearing to communicate and seek help in emergencies. Deaf people find it difficult to communicate with people, especially in emergency status. It is stipulated that deaf people In all societies must have equal rights to use emergency services as other people. With the proposed application the deafness or impaired hearing can request help with one touch, and the location will be determined, also the user status will be sent to the emergency services through the application, making it easier to reach them and provide them with assistance. The application contains several classifications and emergency status (traffic, police, road safety, ambulance, fire fighting). The expected results from this design are interactive, experiential, efficient, and comprehensive features of human-computer interactive technology which may achieve user satisfaction.

• Archives of design research
• /
• v.16 no.2
• /
• pp.131-140
• /
• 2003

The input for computer interaction design is very limited for the users to control the interface by only using keyboard and mouse. However, using the basic electrical engineering, the input design can be different from the existing method. Interactive art using computer technology is recently emersed, which is completed by people's participation. The electric signal transmitted in digital and analogue type from the interface controled by people to the computer can be used in multimedia interaction design. The electric circuit design will be necessary to transmit very safe electric signal from the interface. Electric switch, sensor, and camera technologies can be applied to input interface design, which would be alternative physical interaction without computer keyboard and mouse. This type of interaction design using human's body language and gesture would convey the richness of humanity.

• Proceedings of the KSRS Conference
• /
• 2002.10a
• /
• pp.827-831
• /
• 2002

MediaGIS is a concept of tightly integrated multimedia with spatial information. VideoGIS is an example of MediaGIS focused on the interaction or interaction of video and spatial information. Our suggested GeoVideo, a new concept of VideoGIS has its key feature in interactiveness. In GeoVideo, the geographic tasks such as browsing, searching, querying, spatial analysis can be performed based on video itself. GeoVideo can have the meaning of paradigm shift from artificial, static, abstracted and graphical paradigm to natural, dynamic, real, and image-based paradigm. We discuss about the integration of video and geography and also suggest the GeoVideo system design. Several considerations on expanding the functionalities of GeoVideo are explained for the future works.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.824-826
• /
• 2010

컴퓨터의 활용도가 높아지면서 자연스럽게 컴퓨터에 따른 입력 장치도 사용이 잦아지고 있는 추세이다. 본 논문에서 다루고 있는 핸드 트랙킹 인터랙션 시스템(Hand-Tracking Interaction System)이란 캠에 사람의 손을 인식시켜 손의 모션에 기능을 부여하는 또 다른 차세대 입력 장치이다. 본 논문에서는 현재 사용하고 있는 마우스와 키보드 같은 입력 장치의 공간 제약성 이라는 단점을 보완하기 위해 핸드 트랙킹 인터랙션 시스템 (Hand-Tracking Interaction System) 을 개발하였고, 빛과 그림자의 영향을 쉽게 받아 손 인식률이 낮아지는 단점을 해결하기 위해 캠 대신 적외선카메라를 이용하여 인식률을 높임에 힘썼다. 또 핸드 트랙킹 인터랙션 시스템을 효율적으로 사용할 수 있는 새로운 어플리케이션을 함께 개발하였다.

• Journal of Digital Convergence
• /
• v.11 no.12
• /
• pp.381-386
• /
• 2013

As the new variation malicious codes of android platform are drastically increasing, the preparation plan and response is needed. We proposed a high-interaction client honeypot that applied to the android platform. We designed flow for the system. Application plan and the function was analyze. Each detail module was optimized in the Android platform. The system is equipped with the advantage of the high-interaction client honeypot of PC environment. Because the management and storage server was separated it is more flexible and expanded.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2009.01a
• /
• pp.77-84
• /
• 2009

Intracellular signal transduction is achieved by protein-protein interaction. In this paper, we suggest performance algorithm based on Yeast protein-protein interaction and protein location information. We compare if pathways predicted with high valued weights indicate similar tendency with pathways provided in KEGG.

• Journal of Information Processing Systems
• /
• v.7 no.3
• /
• pp.459-472
• /
• 2011

The vast number of biomedical literature is an important source of biomedical interaction information discovery. However, it is complicated to obtain interaction information from them because most of them are not easily readable by machine. In this paper, we present a method for extracting biomedical interaction information assuming that the biomedical Named Entities (NEs) are already identified. The proposed method labels all possible pairs of given biomedical NEs as INTERACTION or NO-INTERACTION by using a Maximum Entropy (ME) classifier. The features used for the classifier are obtained by applying various NLP techniques such as POS tagging, base phrase recognition, parsing and predicate-argument recognition. Especially, specific verb predicates (activate, inhibit, diminish and etc.) and their biomedical NE arguments are very useful features for identifying interactive NE pairs. Based on this, we devised a twostep method: 1) an interaction verb extraction step to find biomedically salient verbs, and 2) an argument relation identification step to generate partial predicate-argument structures between extracted interaction verbs and their NE arguments. In the experiments, we analyzed how much each applied NLP technique improves the performance. The proposed method can be completely improved by more than 2% compared to the baseline method. The use of external contextual features, which are obtained from outside of NEs, is crucial for the performance improvement. We also compare the performance of the proposed method against the co-occurrence-based and the rule-based methods. The result demonstrates that the proposed method considerably improves the performance.

• Genomics & Informatics
• /
• v.1 no.1
• /
• pp.1-6
• /
• 2003

In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

• Genomics & Informatics
• /
• v.2 no.2
• /
• pp.99-106
• /
• 2004

In this paper we introduce PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature. PubMiner employs natural language processing techniques and machine learning based data mining techniques for mining useful biological information such as protein­protein interaction from the massive literature. The system recognizes biological terms such as gene, protein, and enzymes and extracts their interactions described in the document through natural language processing. The extracted interactions are further analyzed with a set of features of each entity that were collected from the related public databases to infer more interactions from the original interactions. An inferred interaction from the interaction analysis and native interaction are provided to the user with the link of literature sources. The performance of entity and interaction extraction was tested with selected MEDLINE abstracts. The evaluation of inference proceeded using the protein interaction data of S. cerevisiae (bakers yeast) from MIPS and SGD.