• MALSORI
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• no.47
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• pp.109-120
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• 2003

This paper presents about the activities of speech database standardization in ETRI. Recently, with the support of government, ETRI and SiTEC have been gathering the large speech corpus for the domestic speech related companies. First, due to the lack of sharing the knowledge of speech database specification, the distributed speech database has a different format. Hence it seems to be needed to have the same format as soon as possible. ETRI and SiTEC are trying to find the better representation format of speech database. Second, we introduce a new description method of the annotation information of speech database. As one of the structured description method, XML based description will be applied to represent the metadata of the speech database. It will be continuously revised through the speech technology standard forum during this year.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.226-228
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• 2006

현재 웹의 발전과 더불어 시맨틱웹의 응용에 대한 연구가 활발히 진행되고 있다. 그러나 아직까지 그것에 대한 결과물이 나오지 않는 것은 정보자원을 의미적으로 정확히 분석하고, 관리할 수 없는 시스템의 부재라고 할 수 있다. 본 논문에서는 기존의 Annotator들을 분석하고, 시맨틱웹의 응용에 필요한 온톨로지 annotation system을 구현하여, 사용자가 원하는 정확한 정보를 검색하고, 사용자가 편리하게 관리 저장 할 수 있는 방법을 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.745-748
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• 2004

본 논문에서는 시맨틱 웹의 핵심 기술인 웹 온톨로지 언어(OWL)를 이용하여 개념에 대한 의미와 개념간의 관계를 지식으로 표현한 온톨로지를 기반으로 사용자가 요구하는 웹 서비스에 대한 요구사항을 수집할 수 있는 인터페이스를 제공하고 사용자의 요구사항을 기계가독형 OWL문서로 annotation할 수 있는 프로토타입을 구현하였다.

• Korean Journal of Remote Sensing
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• v.25 no.2
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• pp.165-173
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• 2009

Augmented Reality technologies offer new possibilities to the exploration of spatial distributed information. In this work we describe the main issues in the development of an Augmented Reality system that allows the annotation of objects or features in the real world captured by a camera. The general operation of this kind of systems is described, as well as the main problems that need to be solved. Finally, as an example of case of study, we present an application for the annotation of information relative to containers in a marine terminal.

• Genomics & Informatics
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• v.4 no.1
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• pp.40-44
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• 2006

Toxicogenomics combines transcriptome, proteome and metabolome profiling with conventional toxicology to investigate the interaction between biological molecules and toxicant or environmental stress in disease caution. Toxicogenomics faces the problems of comparison and integration across different sources of data. Cause of unusual characteristics of toxicogenomic data, researcher should be assisted by data analysis and annotation for getting meaningful information. There are already existing repositories which claim to stand for toxicogenomics database. However, those just contain limited abilities for toxicogenomic research. For supporting toxicologist who comes up against toxicogenomic data flood, now we propose novel toxicogenomics knowledgebase system, XPERANTO-TOX. XPERANTO-TOX is an integrated system for toxicogenomic data management and analysis. It is composed of three distinct but closely connected parts. Firstly, Data Storage System is for reposit many kinds of '-omics' data and conventional toxicology data. Secondly, Data Analysis System consists of analytical modules for integrated toxicogenomics data. At last, Data Annotation System is for giving extensive insight of data to researcher.

• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.673-682
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• 2009

Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Unlike the face recognition environment addressed by existing works, face annotation problem under SNSs is differentiated in terms of daily updated images database, a limited number of training set and millions of users. Thus, conventional approach may not deal with these problems. In this paper, we proposed a face annotation method for sharing and publishing photographs that contain faces under a social network service using random projection, non-linear regression and representational state transfer. Our experiments on several databases show that the proposed method records an almost constant execution time with comparable accuracy of the PCA-SVM classifier.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.601-605
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• 2009

Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Millions of users have integrated these sites into their daily practices to communicate with online people. In this paper, we propose an efficient face annotation and retrieval system under SNS. Since the system needs to deal with a huge database which consists of an increasing users and images, both effectiveness and efficiency are required, In order to deal with this problem, we propose a face annotation classifier which adopts an online learning and social decomposition approach. The proposed method is shown to have comparable accuracy and better efficiency than that of the widely used Support Vector Machine. Consequently, the proposed framework can reduce the user's tedious efforts to annotate face images and provides a fast response to millions of users.

• Korean Journal of Microbiology
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• v.55 no.2
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• pp.167-170
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• 2019

Pantoea intestinalis SRCM103226, isolated from edible insect mealworm overproduces zeaxanthin as a main carotenoid. The complete genome of P. intestinalis SRCM103226 was sequenced using the Pacific Biosciences (PacBio) RS II platform. The genome of P. intestinalis SRCM103226 comprises a 4,784,919 bp circular chromosome (53.41% G+C content), and is devoid of any extrachromosomal plasmids. Annotation using the RAST server reveals 4,332 coding sequences and 107 RNAs (22 rRNA genes, 85 tRNA genes). Genome annotation analysis revealed that it has five genes involved in the carotenoid pathway. The genome information provides fundamental knowledge for comparative genomics studies of the zeaxanthin pathway.

• ETRI Journal
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• v.43 no.4
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• pp.630-639
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• 2021

Autonomous driving requires a computerized perception of the environment for safety and machine-learning evaluation. Recognizing semantic information is difficult, as the objective is to instantly recognize and distinguish items in the environment. Training a model with real-time semantic capability and high reliability requires extensive and specialized datasets. However, generalized datasets are unavailable and are typically difficult to construct for specific tasks. Hence, a light detection and ranging semantic dataset suitable for semantic simultaneous localization and mapping and specialized for autonomous driving is proposed. This dataset is provided in a form that can be easily used by users familiar with existing two-dimensional image datasets, and it contains various weather and light conditions collected from a complex and diverse practical setting. An incremental and suggestive annotation routine is proposed to improve annotation efficiency. A model is trained to simultaneously predict segmentation labels and suggest class-representative frames. Experimental results demonstrate that the proposed algorithm yields a more efficient dataset than uniformly sampled datasets.

• Journal of Animal Science and Technology
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• v.65 no.2
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• pp.293-310
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• 2023

Protein-translated mRNA analysis has been extensively used to determine the function of various traits in animals. The non-coding RNA (ncRNA), which was known to be non-functional because it was not encoded as a protein, was re-examined as it was studied to actually function. One of the ncRNAs, long non-coding RNA (lncRNA), is known to have a function of regulating mRNA expression, and its importance is emerging. Therefore, lncRNAs are currently being used to understand the traits of various animals as well as human diseases. However, studies on lncRNA annotation and its functions are still lacking in most animals except humans and mice. lncRNAs have unique characteristics of lncRNAs and interact with mRNA through various mechanisms. In order to make lncRNA annotations in animals in the future, it is essential to understand the characteristics of lncRNAs and the mechanisms by which lncRNAs function. In addition, this will allow lncRNAs to be used for a wider variety of traits in a wider range of animals, and it is expected that integrated analysis using other biological information will be possible.