• Proceedings of the KSPS conference
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• 2006.11a
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• pp.14-18
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• 2006

The role of dialogue manager is to select proper actions based on observed environment and inferred user intention. This paper presents stochastic model for dialogue manager based on Markov decision process. To build a mixed initiative dialogue manager, we used accumulated user utterance, previous act of dialogue manager, and domain dependent knowledge as the input to the MDP. We also used dialogue corpus to train the automatically optimized policy of MDP with reinforcement learning algorithm. The states which have unique and intuitive actions were removed from the design of MDP by using the domain knowledge. The design of dialogue manager included the usage of natural language understanding and response generator to build short message based remote control of home networked appliances.

• Proceedings of the KSPS conference
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• 2006.11a
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• pp.109-112
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• 2006

This paper presents a dialogue interface using the dialogue management system as a method for controlling home appliances in Home Network Services. In order to realize this type of dialogue interface, we first investigated the user requirements for Home Network Services by analyzing the dialogues entered by users. Based on the analysis, we were able to extract 15 user intentions and 22 semantic components. In our study, example dialogues were collected from WOZ (Wizard-of-OZ) environment to implement a reasoning model for generating meaningful responses for example-based dialogue modeling technique. An overview of the Home Network Control System using proposed dialogue interface will be presented. Lastly, we will show that the Dialogue Management System trained with our collected dialogues behaves properly to achieve its task of controlling Home Network appliances by going through the steps of natural language understanding, response reasoning, response generation.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.194-198
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• 2007

현재 서비스되고 있는 홈네트워크는 가전기기들에 대한 홈오토메이션 서비스로서 웹이나 TV 등을 통한 메뉴선택 방식으로 제어되고 있다. 본 논문에서는 홈네트워크에 SMS를 통한 대화형 인터페이스를 도입함으로서 시간과 장소의 제약이 없는, 가전기기 제어를 가능하게 하였다. 대화형 인터페이스의 구현을 위해 홈네트워크 영역의 요구분석을 통하여 23개의 화행과 22개의 의미성분으로 이루어진 의미구조를 수립하였으며, WOZ(Wizard-of-OZ)방식으로 9만 6천 대화쌍을 수집하였다. 대화 처리를 위하여 예제기반 대화추론 및 응답생성 방법을 사용하였으며, SMS 영역에서의 성능향상을 위하여 전처리를 도입하였다. 구현된 서비스에 대한 성능평가 실험을 통해 사용자 만족도를 조사하였다.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.400-406
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• 2006

다양한 서비스와의 서비스간 융합이 활발히 이루어지는 유비쿼터스 서비스 환경에서 사용자에게 보다 편리하게 맞춤 서비스를 제공하기 위해서는 다양한 입출력 수단을 통해 상황에 따라 적절한 서비스를 제공할 수 있는 기술이 필요하다. 멀티모달 상황인지 기술은 언제, 어디서나 사용자에게 최적의 서비스를 제공할 수 있도록 다양한 상황정보를 인지하여 적절한 입출력 수단을 사용할 수 있는 UI를 제공함으로써 사용자별 맞춤형 서비스가 가능하게 하는 기술이다. 본 고에서는 멀티모달 및 상황인지 기술에 대한 개요와 KT에서 개발하고 있는 멀티모달 상황인지 플랫폼 및 이를 기반으로 한 홈네트워크 서비스를 소개하고자 한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.22-31
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• 2023

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.735-737
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• 2013

IT 발전의 빠른 진보성으로 인해 탄생된 스마트 디바이스는 급격한 대중화가 이루어지고 있다. 많은 사람들이 편리한 기능과 휴대성을 갖춘 스마트 디바이스에 의존하게 되면서 개인 정보 보호를 위한 화면 잠금 기능 연구가 활발하게 진행되고 있다. 이에 사용자들은 다양한 화면 잠금 기능을 선택하여 설정 할 수 있다. 다양한 화면 잠금 기능 중에 패턴 락은 직관적인 인터페이스로 인한 편리함과 보안성으로 인해 많은 사용자가 사용하고 있다. 하지만, 패턴 락은 한정된 화면 잠금 패턴 기능을 가지고 있으며 화면 잠금을 해제하는 경우에 쉽게 타인에게 패턴이 노출된다. 이에 본 논문에서는 8-방향성을 기반으로 동작하고 패턴 락의 한정된 패턴 수와 타인에 대한 패턴 노출을 개선하여 보안성을 높인 SDL(Smart Device Lock)-8way를 제안한다.

• Mass Spectrometry Letters
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• v.12 no.3
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• pp.60-65
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• 2021

As a part of the Chromosome-centric Human Proteome Project (C-HPP), we have developed a few algorithms for accurate identification of missing proteins, alternative splicing variants, single amino acid variants, and characterization of function unannotated proteins. We have found missing proteins, novel and known ASVs, and SAAVs using LC-MS/MS data from human brain and olfactory epithelial tissue, where we validated their existence using synthetic peptides. According to the neXtProt database, the number of missing proteins in chromosome 11 shows a decreasing pattern. The development of genomic and transcriptomic sequencing techniques make the number of protein variants in chromosome 11 tremendously increase. We developed a web solution named as SAAvpedia for identification and function annotation of SAAVs, and the SAAV information is automatically transformed into the neXtProt web page using REST API service. For the 73 uPE1 in chromosome 11, we have studied the function annotaion of CCDC90B (NX_Q9GZT6), SMAP (NX_O00193), and C11orf52 (NX_Q96A22).

• Journal of Information Technology Services
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• v.7 no.3
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• pp.215-237
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• 2008

As the paradigm of communications changes from technology-centered service provision to human-centric services, the future wireless communication systems is expected to be able to provide user-centric customized and optimized services. In order to cope with such paradigm shift in communications, various research activities on next generation mobile communication systems are being carried by a number of international organization and research centers to take initiative in future ubiquitous wireless communication environment. In this paper we propose a generic research and development framework consisting of four different research and development phases, a vision and strategy establishment phase, a service development phase, a service reference model creation phase and future service foresight phase. In particular, we give prospect of future ubiquitous wireless communication services covering different service areas of future life style based on our research frameworks.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.101-108
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• 2019

Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.95-113
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• 2024

Purpose: This study focused on the societal changes associated with the entry into an ultra-aged society and the increase in single-person households. The core objective of this research is to investigate how social intelligent robots can bring about positive changes in the lives of individuals in single-person households and how such changes influence user satisfaction and the intention to use these robots. Methods: The study employed a cross-sectional analysis using a structural equation model. A survey designed to assess the impact of social intelligent robots' characteristics, such as perceived encouragement, empathy, presence, appearance, and attachment, on user satisfaction and usage intentions was conducted. Data were collected from a total of 335 users and analyzed using the structural equation model. Results: In the characteristics of social intelligent robots for single-person households, it was found that empathy, presence, and attachment significantly influenced satisfaction, while perceived encouragement, empathy, and attachment significantly influenced usage intentions. The research results indicate differences between enhancing user satisfaction and increasing the intention to use social intelligent robots. The findings suggest the essential need for a user-centric approach in the design and development of social intelligent robots. Additionally, it was observed that emotional support plays a crucial role in users' experiences with social intelligent robots. Conclusion: This study verified the impact of social intelligent robots on satisfaction and usage intentions based on users' experiences. It examined the influence of linguistic, visual, and personal characteristics of robots on user experiences, providing insights into how technological and human aspects of social intelligent robots interact to shape user satisfaction and usage intentions. Consequently, the study confirmed that social intelligent robots can bring positive changes to human life, emphasizing the necessity for the advancement of robot technology in a human-centric direction.