• Phonetics and Speech Sciences
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• v.1 no.4
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• pp.119-125
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• 2009

This paper proposes fast speaker adaptation method using artificially distorted speech in telematics terminal under the car noise environment based on eigenspace-based maximum likelihood linear regression (ES-MLLR). The artificially distorted speech is built from adding the various car noise signals collected from a driving car to the speech signal collected from an idling car. Then, in every environment, the transformation matrix is estimated by ES-MLLR using the artificially distorted speech corresponding to the specific noise environment. In test mode, an online model is built by weighted sum of the environment transformation matrices depending on the driving condition. In 3k-word recognition task in the telematics terminal, we achieve a performance superior to ES-MLLR even using the adaptation data collected from the driving condition.

• Journal of Sensor Science and Technology
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• v.30 no.5
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• pp.290-294
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• 2021

Experts have designed popular and successful model architectures, which, however, were not the optimal option for different scenarios. Despite the remarkable performances achieved by deep neural networks, manually designed networks for classification tasks are the backbone of object detection. One major challenge is the ImageNet pre-training of the search space representation; moreover, the searched network incurs huge computational cost. Therefore, to overcome the obstacle of the pre-training process, we introduce a network adaptation technique using a pre-trained backbone model tested on ImageNet. The adaptation method can efficiently adapt the manually designed network on ImageNet to the new object-detection task. Neural architecture search (NAS) is adopted to adapt the architecture of the network. The adaptation is conducted on the MobileNetV2 network. The proposed NAS is tested using SSDLite detector. The results demonstrate increased performance compared to existing network architecture in terms of search cost, total number of adder arithmetics (Madds), and mean Average Precision(mAP). The total computational cost of the proposed NAS is much less than that of the State Of The Art (SOTA) NAS method.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.12 no.3
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• pp.31-37
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• 2003

With the paradigm shifting from the principal of manufacturing efficiency to business globalism and rapid adaptation to its environments, more and more enterprises are being virtually organized as manufacturing network of different units in web. The formation of these enterprise called as Virtual Enterprise(VE) is becoming a growing trend as enterprises concentrating on core competence and economic benefit. 13us paper proposes multi-agent based task assignment system for VE, which attempts to address the selection of individually managed partners and the task assignment to them A case example is presented to illustrate how the proposed system can assign the task to partners.

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.14-22
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• 2022

This paper is a basic study of college of engineering freshmen's adaptation to college life, and the relationship between sub-variables of academic self-efficacy, learning immersion, and academic curiosity is analyzed. And based on the results, a plan to support new students of the College of engineering is suggested.

• Journal of the Korea Society of Computer and Information
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• v.9 no.3
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• pp.149-155
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• 2004

This paper describes the self-adaptive Content Service Network (CSN) on Application Level Active Network (ALAN). Web caching technology comprises Content Delivery Network (CDN) for content distribution as well as Content Service Network (CSN) for service distribution. The IETF working group on Open Pluggalble Edge Service (OPES) is the works closely related to CSN. But it can be expected that the self-adaptation in ubiquitous computing environment will be deployed. The existing content service on CSN lacks in considering self-adaptation. This results in inability of existing network to support the additional services. Therefore, in order to address the limitations of the existing networks, this paper suggests Self-adaptive Content Service Network (CSN) using the GME and the extended ALAN to insert intelligence into the existing network.

• The Journal of the Acoustical Society of Korea
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• v.30 no.6
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• pp.315-323
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• 2011

This paper proposes two methods of estimating prior distribution to improve the performance of rapid speaker adaptation based on maximum a posteriori linear regression (MAPLR). In general, prior distribution of the transformation matrix used in MAPLR adaptation is estimated from all of the training speakers who are employed to construct the speaker-independent model, and it is applied identically to all new speakers. In this paper, we propose a method in which prior distribution is estimated from a group of reference speakers, selected using adaptation data, so that the acoustic characteristics of the selected reference speakers may be similar to that of the new speaker. Additionally, in MAPLR adaptation with block-diagonal transformation matrix, we propose a method in which the mean matrix and covariance matrix of prior distribution are estimated from two groups of transformation matrices obtained from the same training speakers, respectively. To evaluate the performance of the proposed methods, we examine word accuracy according to the number of adaptation words in the isolated word recognition task. Experimental results show that, for very limited adaptation data, statistically significant performance improvement is obtained in comparison with the conventional MAPLR adaptation.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.71-81
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• 2017

This study is to explore the relationship among self assertiveness, self efficacy, school adaptation and related factors. Data collection from July 11, 2015 July 20 were enrolled in two elementary school. The questionnaire was filled out by 905 elementary students from 3rd to 6th grade in cities of Busan and Ulsan. Self assertiveness for the elementary students was positively correlated with self efficacy and school adaptation. Also, self efficacy was positively correlated with school adaptation of elementary student. Among the general characteristics, factors affecting school adaptation were student-teacher's relationship, school grade, gender, friendship, confidence, self-control, preferred task difficulty, body language and contents of expression significantly accounted for 57.5%. The most significant factor influencing school adaptation was confidence.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.1
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• pp.83-92
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• 1997

This study was designed to evaluate the current orientation and further to develop an effective orientation curriculum of new nurses by analyzing questionraire taken from 45 numbers of all nurses who have worked for 18 months below at one hospital located in C city on July, 1995. The results obtained are summarized as follows. 1. The subjects showed the high necessity of "emergency nursing", "cardiopulmunary resuscitation", "disinfection and infection" and "interpersonal relationship" in order, but relatively low necessity of "doctor supports" and "medical insurance affair" for the practical orientation. Therefore, the orientation should provide prepondently an education Which they really need, on the basis of their education experiences and/or requirements. 2. Practical training, individual teaching and performance will be an effective orientation more than theorical education. The educator should be selected from unit based persons being capable of providing technical education to trainee. Also, in order to develop the teaching method and to improve the corresponding ability, a special program is required for educators. 3. It will be desirable that task training is given at least one month before working at their unit. In addition, orientation schedule should be made to concentrate trainee on their task training fully. 4. The subjects showed that half of them had spent four to six months for work adaptation. A meeting of new nurses may be helpful not only to acclimate themselves to new circumstances. but also to provide an exchange of views and an emotional relationship. Furthermore, unit based staffs should exerts efforts to maintain the educational circumstances and warm concern for new nurse's adaptation.

• The Journal of Korea Robotics Society
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• v.11 no.4
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• pp.270-276
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• 2016

This paper proposes a design methodology of self-reconfigurable kinematics and control engine for modular and reconfigurable robots. A modular manipulator has been proposed to meet the requirement of task adaptation in versatile needs for service and industrial robot area and the function of self-reconfiguration is required to extend the application of modular robots. Kinematic and dynamic contexts are extracted from the module and assembly information and related codes are automatically generated including controller. Thus a user can easily build and use a modular robot without professional knowledge. Simulation results are presented to verify the validity of the proposed method.

• ETRI Journal
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• v.36 no.3
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• pp.429-438
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• 2014

Semantic role labeling (SRL) is a task in natural-language processing with the aim of detecting predicates in the text, choosing their correct senses, identifying their associated arguments, and predicting the semantic roles of the arguments. Developing a high-performance SRL system for a domain requires manually annotated training data of large size in the same domain. However, such SRL training data of sufficient size is available only for a few domains. Constructing SRL training data for a new domain is very expensive. Therefore, domain adaptation in SRL can be regarded as an important problem. In this paper, we show that domain adaptation for SRL systems can achieve state-of-the-art performance when based on structural learning and exploiting a prior model approach. We provide experimental results with three different target domains showing that our method is effective even if training data of small size is available for the target domains. According to experimentations, our proposed method outperforms those of other research works by about 2% to 5% in F-score.