• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.743-746
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• 1996

A hybrid control scheme to regulate the force and position by dual arms is proposed, where two arms are treated as one arm in a kinematic viewpoint. Our approach is different from other hybrid control approaches which consider robot dynamics, in the sense that we employ a purely kinematic based approach for hybrid control, with regard to the nature of position-controlled industrial robots. The proposed scheme is applied to sawing task. In the sawing task, the trajectory of the saw grasped by dual arms is planned in an offline fashion. When the trajectory of the saw is planned to follow a line in a horizontal plane, 3 position parameters are to be controlled(i.e, two translational positions and one rotational position). And a certain level of contact force has to be controlled along the vertical direction(i.e., minus z-direction) not to loose the contact with the object to be sawn. Typical feature of sawing task is that the contact position where the force control is to be performed is continuously changing. Therefore, the kinematic mapping between the force controlled position and the joint actuators has to be updated continuously. The effectiveness of the proposed control scheme is experimentally demonstrated. The proposed hybrid control scheme can be applied to arbitrary dual arm systems, regardless of their kinematic structure and the number of actuated joints.

• Journal of Plant Biotechnology
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• v.7 no.1
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• pp.51-55
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• 2005

Many cloning vectors in which cDNAs can be inserted to the sense orientation have been developed. Uni-ZAP XR vector (Stratagene) should contain clones that are oriented to sense direction with respect to T3 RNA polymerase primer. Unexpectedly, large portions of cDNAs in Chinese cabbage cDNA library showed unusual insertions, antisense orientation and a hybrid of two different clones. Using two clones, 4H03 and 53-B10, derived from different cDNA libraries, we proposed and demonstrated the possibility of unusual-construct formation by in vitro translation and northern blot analysis. The 4H03 clone was inserted with inverse direction, and its transcript and translation product could be produced by T7 RNA polymerase, indicating that this clone is definitely inserted into inverse orientation. The 53-B10 that contains two independent genes was turned out to be a hybrid in which two genes are inserted to opposite direction each other. All unusual constructs might be due to the presence of small fragments of DNA, like adapter. However, the mechanism underlined the formation of unusual constructs is still remain to be solved.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.230-231
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• 2014

Compressive sensing is a new sampling technique, which allows to sample a signal under the Nyquist-Shannon sampling rate. For block-based compressive sensing, a hybrid sensing matrix which contains low-frequency patterns in addition to the random Gaussian numbers is good for exploiting typical property of natural images. By noting that MH-BCS-SPL is well known for its good recovery performance, this paper investigates effect of the hybrid sensing matrix on MH-BCS-SPL in the sense of how large portion of low-frequency patterns can provide performance improvement.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.47-64
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• 2020

In this paper, we derive some estimators of the scale parameter of the exponentiated half-logistic distribution based on the multiply Type-I hybrid censoring scheme. We assume that the shape parameter λ is known. We obtain the maximum likelihood estimator of the scale parameter σ. The scale parameter is estimated by approximating the given likelihood function using two different Taylor series expansions since the likelihood equation is not explicitly solved. We also obtain Bayes estimators using prior distribution. To obtain the Bayes estimators, we use the squared error loss function and general entropy loss function (shape parameter q = -0.5, 1.0). We also derive interval estimation such as the asymptotic confidence interval, the credible interval, and the highest posterior density interval. Finally, we compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation. The average length of 95% intervals and the corresponding coverage probability are also obtained.

• Communications for Statistical Applications and Methods
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• v.20 no.1
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• pp.63-75
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• 2013

In this paper, we derive maximum likelihood estimators (MLEs) and approximate maximum likelihood estimators (AMLEs) of unknown parameters in a generalized half logistic distribution under Type-II hybrid censoring. We also obtain approximate confidence intervals using asymptotic variance and covariance matrices based on the MLEs and the AMLEs. As an illustration, we examine the validity of the proposed estimation using real data. Finally, we compare the proposed estimators in the sense of the mean squared error (MSE), bias, and length of the approximate confidence interval through a Monte Carlo simulation for various censoring schemes.

• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.6 s.107
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• pp.68-81
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• 2005

The styles of contemporary landscape design have diversified since the emergence of Postmodernism in landscape architecture. The diversification was mostly influenced by contemporary fine arts and architecture. This study examines the pluralistic development of Postmodern landscape design through the investigation of the influences from those sister arts. In this point of view, the main approaches of Postmodern landscape design are thought to be classified into three categories;'the formal abstract approach', 'the figurative approach' and 'the new picturesque approach'. The first category of the formal abstract approach was formulated with the concepts and vocabulary of Minimal Art and Installation Art. Its representative icons such as 'point grids' and 'stripes', and the main concepts such as the sense of 'flahess', 'expansion' and 'materiality' are mostly thought to be originated from these art forms. The second category of the figurative approach is characterised by the concepts and vocabulary of Pop Art and New Image Paintings. Its representative icons such as 'map' or 'figurative forms' and main concepts like the sense of 'reality', 'context' and 'symbolism' are mostly thought to be originated from these art forms. The third category of the new picturesque approach was formulated with the concepts and vocabulary of Land Art and Late Deconstructive Architecture. Its representative icons such as 'hybrid', 'layer' and 'fold', and the main concepts such as the sense of 'complexity', 'continuity' and 'reversibility' are thought to be originated from these art forms. The research shows that the main stream of contemporary landscape design seems to be gradually moving toward the second and third approach above, in step with the cultural orientation and the dynamism of contemporary urban life. Therefore, the study focused especially on the new picturesque approach which would be in greater need for coping with the hybrid culture today.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7B
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• pp.706-718
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• 2002

In bluetooth system, there are two kinds of interference. One is the frequency static interference, for example 802.11 direct sequence, the interferer uses fixed frequency band. Another is frequency dynamic interference, for example other piconets or 802.11 frequency hopping, the interferer uses dynamic frequency channel and cant be estimated. In this paper we introduce a novel solution of hybrid method of Listen-Before-Talk (LBT) and Adaptive Frequency Hopping (AFH) to address the coexistence of bluetooth and Direct Sequence of wireless local area network (WLAN). Before any bluetooth packet transmission, in the turn around time of the current slot, both the sender and receiver sense the channel whether there is any transmission going on or not. If the channel is busy, packet transmission is withdrawn until another chance. This is the LBT in Bluetooth. Because of asymmetry sense ability of WLAN and bluetooth, AFH is introduced to combat the left front-edge packet collisions. In monitor period of AFH, LBT is performed to label the channels with static interference. Then, all the labeled noisy channels are not used in the followed bluetooth frequency hopping. In this way, both the frequency dynamic and frequency static interference are effectively mitigated. We evaluate the solution through packet collision analysis and a detail realistic simulation with IP traffic. It turns out that the hybrid method can combat both the frequency dynamic and frequency static interference. The packet collision analysis shows it almost doubles the maximal system aggregate throughput. The realistic simulation shows it has the least packet loss.

• Communications for Statistical Applications and Methods
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• v.17 no.2
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• pp.141-151
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• 2010

Hybrid fuzzy regression analysis is used for integrating randomness and fuzziness into a regression model. Least squares support vector machine(LS-SVM) has been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate hybrid fuzzy linear and nonlinear regression models with crisp inputs and fuzzy output using weighted fuzzy arithmetic(WFA) and LS-SVM. LS-SVM allows us to perform fuzzy nonlinear regression analysis by constructing a fuzzy linear regression function in a high dimensional feature space. The proposed method is not computationally expensive since its solution is obtained from a simple linear equation system. In particular, this method is a very attractive approach to modeling nonlinear data, and is nonparametric method in the sense that we do not have to assume the underlying model function for fuzzy nonlinear regression model with crisp inputs and fuzzy output. Experimental results are then presented which indicate the performance of this method.

• Journal of Fashion Business
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• v.18 no.2
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• pp.113-131
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• 2014

This study aims to examine the background to the rise of Rei Kawakubo, a Japanese designer who achieved fame by suggesting the concept of deconstruction and recombination of clothes, and to look at environment of the time, the formative characteristics of her design and the Japanese aesthetic sense inherent in her design. As the method of research, collections that Kawakubo unveiled over the past 10 years starting in 2004 were examined, and a survey of the literature was conducted to describe the background of her growth and the Japanese aesthetic sense inherent in the design. According to the study, Kawakubo grew up in the ruins of a war, and went through a time of great tumult, when Western culture was mixing with Japan's traditional culture. She taught herself a method of creation involving the deconstruction of clothes, and their recombination. For this reason, her design from the beginning was inevitably focused on deconstructing clothes before they could be recombined. Through analyses of her collections, it was found that the formative characteristics of her design were characterized by asymmetry, incompleteness, humor and hybridity. Kawakubo created clothes under the influence of an ethnicity that was shrouded in individuality and a traditional aesthetic sense, and the formative characteristics of her design defined by asymmetry, incompleteness, humor and hybridity were closely related to the hybridity represented by Wabi (わび), Yugen (幽玄), Okashi (をかし) and Zakyo (雜居).

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.2
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• pp.102-110
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• 2017

Current word sense disambiguation techniques employ various machine learning-based methods. Various approaches have been proposed to address this problem, including the knowledge base approach. This approach defines the sense of an ambiguous word in accordance with knowledge base information with no training corpus. In unsupervised learning techniques that use a knowledge base approach, graph-based and similarity-based methods have been the main research areas. The graph-based method has the advantage of constructing a semantic graph that delineates all paths between different senses that an ambiguous word may have. However, unnecessary semantic paths may be introduced, thereby increasing the risk of errors. To solve this problem and construct a fine-grained graph, in this paper, we propose a model that iteratively constructs the graph while eliminating unnecessary nodes and edges, i.e., senses and semantic paths. The hybrid similarity estimation model was applied to estimate a more accurate sense in the constructed semantic graph. Because the proposed model uses BabelNet, a multilingual lexical knowledge base, the model is not limited to a specific language.