• Proceedings of the IEEK Conference
• /
• 2003.07d
• /
• pp.1491-1494
• /
• 2003

Video adaptation in response to dynamic resource conditions and user preferences is required as a key technology to enable universal multimedia access (UMA) through heterogeneous networks by a multitude of devices in a seamless way. Although many adaptation techniques exist, selections of appropriate adaptations among multiple choices are often ad hoc. To provide a systematic solution, we present a general conceptual framework to model video entity, adaptation, resource, utility, and relations among them. It allows for formulation of various adaptation problems as resource-constrained utility maximization. We apply the framework to a practical case of dynamic bit rate adaptation. Furthermore, we present a description tool, which has been accepted as a part of the MPEG-21 Digital Item Adaptation (DIA), along with a brief overview of the .elated descriptors to support terminal and network quality of service (QoS).

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.05a
• /
• pp.81-86
• /
• 2002

In current CBR(Case-Based Reasoning) systems, the case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck similar to those found in traditional expert system design. In this thesis, 1 present a model for learning method of case adaptation knowledge using case base. The feature difference of each pair of cases are noted and become the antecedent part of an adaptation rule, the differences between the solutions in the compared cases become the consequent part of the rule. However, the number of rules that can possibly be discovered using a learning algorithm is enormous. The first method for finding cases to compare uses a syntactic measure of the distance between cases. The threshold fur identification of candidates for comparison is fixed th the maximum number of differences between the target and retrived case from all retrievals. The second method is to use similarity metric since the threshold method may not be an accurate measure. I suggest the elimination method of duplicate rules. In the elimination process, a confidence value is assigned to each rule based on its frequency. The learned adaptation rules is applied in riven target Problem. The basic. process involves search for all rules that handle at least one difference followed by a combination process in which complete solutions are built.

• The Journal of the Acoustical Society of Korea
• /
• v.16 no.2
• /
• pp.107-113
• /
• 1997

To achive a robust Korean word recognition system for both channel distortion and additive noise, maximum a posteriori estimation(MAP) adaptation is proposed and the effectiveness of environmental adaptation for improving recognition performance is investigated in this paper. To do this, recognition experiments using MAP adaptation are carried out for the three different speech ; 1) channel distortion is introduced, 2) environmental noise is added, 3) both channel distortion and additive noise are presented. Theeffectiveness of additive feature parameters, such as regressive coefficients and durations, for environmental adaptation are also investigated. From the speaker independent 100 words recognition tests, we had 9.0% of recognition improvement for the case 1), more than 75% for the case 2), and 11%~61.4% for the case 3) respectively, resulting that a MAP environmental adaptation is effective for both channel distorted and noise added speech recognition. But it turned out that duration information used as additive feature parameter did not played an important role in the tests.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2009.11a
• /
• pp.151-155
• /
• 2009

With the recent increase in the number of foreign settlers in our country, we need a societal system which they can adapt well in. In order to successfully settle in our society, the marriage immigrants who especially plan a life in a new environment should be supported with support programs, especially to help them adapt to their very basic housing environment as their daily environment. From this research, through a program analysis of multi-cultural family support centre, the societal support helping to adapt to the residential environment for marriage immigrants in each nation was examined, and grasp an understanding on their adaptation to the housing environment by conducting interviews about housing environment adaptation examples. From the result of analyzing the 100 programs of the multi-cultural family support system, it could be seen that for the marriage immigrants to adapt, various programs are needed. In other words, there are effective programs for the early settlement of the marriage immigrants such as Korean education, tradition culture education, provision of district daily information, but it could be seen that heavier education was needed for, than for the sake of the marriage immigrants who took such education. Through adaptation case examples of 8 marriage immigrants from 5 different countries, it was realizable that the housing problems the marriage immigrants go through, are not limited to themselves, but also are related to the safety of their family and adaptation problems with their children. Therefore, by developing an adaptation program to help with housing environmental adaptation, the lives of the marriage immigrants' families will be supported, and will support early settlement, which then basic preparation for human resources as district societal use will be needed. By developing a program with a housing environmental professional, and if there is a positive effect and achievement, it is expected that there will be a standard program system available for all marriage immigrants.

• Journal of Biomedical Engineering Research
• /
• v.29 no.1
• /
• pp.25-31
• /
• 2008

It is well known that temporal information, i.e speech onset, about input speech can be represented to the response nerve signal of auditory nerve better depending on the adaptation effect occurred in the auditory nerve synapse. In addition, the performance of a speech processor of cochlear implant can be improved by the adaptation effect. In this paper, we observed the emphasis characteristic of speech onset in the recently proposed adaptation algorithm, analyzed the characteristic of performance change according to the variation of parameters and compared with transient emphasis spectral maxima (TESM) is the previous typical strategy. When observing false peaks which are generated everywhere except speech onset, in the case of the proposed model, the false peak were generated much less than in the case of the TESM and it is more distinguishable under noise.

• The Journal of the Acoustical Society of Korea
• /
• v.18 no.3
• /
• pp.10-16
• /
• 1999

In this paper, we have studied Continuous Speech Recognition System of Speaker Adaptation using MAPE (Maximum A Posteriori Probability Estimation) which can adapt any small amount of adaptation speech data. Speaker adaptation is performed by the method of MAPB after Concatenation training which is making sentence unit HMM linked by syllable unit HMM and Viterbi segmentation classifies speech data to be adaptation into segmentation of syllable unit data automatically without hand labelling. For car control speech the recognition rates of adaptation of HMM was 77.18% which is approximately 6% improvement over that of unadapted HMM.(in case of O(n)DP)

• Korean Journal of Child Education & Care
• /
• v.19 no.3
• /
• pp.99-113
• /
• 2019

Objective: This study is a case study on mother's perceived the adaptation process and program of a one-year-old toddlers in daycare center. Methods: This study is a case study of four mothers who live in Seoul, South Korea and whose first child enters in daycare center at 18 or 20 months. The data collection method was applied to group interview and the individual in-depth interview method. Results: After the interview data was analyzed, first, they decided to enroll their child to a daycare center after two mothers were pregnant with the second child or the others received a phone call for admission. The first impression of the teachers had a great influence on the choice of admission when mother first visited the daycare center. mother, as well as toddlers who exhibited anxiety, experienced an adaptation process. Through communication between mother and teacher, mothers could feel the toddler's adaptation. Second, as for the difference of the adaptation program according to the daycare center type through the adaptation process of the one-year-old toddlers, there was a big difference in the program guide, the period, the content and the proceeding method. Conclusion/Implications: Based on the results of this study, it is expected that it will be a basic data for the development of the adaptation program for one-year-old toddlers in daycare center at the national level.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.04a
• /
• pp.709-712
• /
• 1996

Generating a project network of a specific construction project is very time consuming and difficult task in the field. To effectiviely automate and support the planning process, we design a case-based project planning expert system inspired by the fact a human expert project planner uses previous cases for planning a new project. A construction project case consist of its specific characteristics and the corresponding project network (i.e. project plan). Using frame based representation. we represent the project features affecting the progress network and the entities composing the project plan such as the buildings, construction methods, WBS (work breakdown structure), activities, and resources. The project planning process runs through most similar case retrieval, case adaptation, and user requirement satisfaction. We represent the construction domain knowledge for each procedure using constraints and rules. We develop the methodology for constraint-based case adaption. Case adaptation process mainly consist of activity generation/deletion and predecence constraint satisfaction, for which we develop the dynamic constraint generation method and connect user-level requirement representation the system-level network modification knowledge. The methodology is being applied to the prototype for apartment construction project planning.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.51
• /
• pp.129-138
• /
• 1999

The aim of this research is the development of an automated fixture planning system for prismatic parts using the case-based reasoning (CBR). CBR is the problem solving paradigm that uses the similarity between a new problem and old cases to solve the new problem. This research uses CBR for the fixture planning. A case is composed with the information of the part, the components of fixture and the method of fixing for the part. The basic procedure is the retrieval and adaptation for the case, and this research presents the method of retrieval that selects most similar case to the new situation. The retrieval-step is divided into an index matching and an aggregated matching. The adaptation is accomplished by the modification, which transforms the selected case to the solution of the situation of the input part by the specified CBR algorithm. The components of fixture and the method of fixing are determined for a new part by the procedure.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.84-89
• /
• 2003

Fuzzy controller is one of the succeed controller used in the process control in case of model uncertainties. But it my be difficult to fuzzy controller to articulate the accumulated knowledge to encompass all circumstance. Hence, it is essential to provide a tuning capability. There are many parameters in fuzzy controller can be adapted, scale factor tuning of normalized fuzzy controller is one of the adaptation parameter. Two adaptation methods are implemented in this work on an experimental thermal process, which simulate heating process in liquefied petroleum gases (LPG) recovery process in one of petrochemical industries: Gradient decent (GD) adaptation method; supervisory fuzzy controller. A comparison between the two methods is discussed.