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      • KCI등재

        백워드 설계를 적용한 한국 현대 가치문화 교육방안 연구

        이원주 ( Lee Wonju ) 고려대학교 한국어문교육연구소 2023 한국어문교육 Vol.43 No.-

        본 연구는 한국어 학습자를 위해 한국 현대 수필에 반영된 한국의 현대 가치문화를 백워드 설계에 적용하여 교육방안을 제시하는 데에 목적이 있다. 이를 위해 소설처럼 허구화된 인물과 복잡한 사건이 덜 등장하며 시처럼 함축적이고 상징적인 표현이 적고 일상생활을 소재로 하여 한국인의 일상과 그에 반영된 가치문화를 가까이서 간접적으로 체험하고 이해할 수 있는 수필 장르를 선택하였다. 또한 한국의 현대 가치문화를 가족주의 문화(혈연 문화, 효 문화), 집단주의 문화(우리 문화, 정 문화, 흥 문화), 관계주의 문화(서열 문화, 연줄 문화, 체면 문화)로 분류하였다. 이를 바탕으로 이어령의 수필 「빵과 밥」에 반영된 가치문화를 분석하여 백워드 설계를 적용한 교육방안을 수립하였다. 따라서 본 연구는 한국어교육 분야에서 연구가 미진했던 가치문화 연구에서 백워드 이론을 적용한 최초의 연구라는 점, 가치문화 교육과 언어 기능 교육을 연결한 교육방안을 제시했다는 점에서 의의를 갖는다. 본 연구를 시작으로 한국어교육 분야에서 한국의 가치문화를 교육하기 위한 연구와 백워드 설계를 활용한 연구들이 활발히 이루어지기를 기대한다. The purpose of this study is to present an educational plan for Korean language learners by applying Korean modern value culture reflected in modern Korean essays to the Backward Design. To this end, the essay genre was chosen as it may help understand the daily lives and value culture of Korean people. Unlike novels, essays feature fewer fictional characters and complicated events. Besides, unlike poetry, they have fewer implicit and symbolic expressions. In addition, this study classified Korean modern values into three main categories: familism, collectivism, and relationalism, and put subcategories below them. Based on this, the study analyzed the value culture reflected in Bread and Rice, a modern essay by Lee-Eolyeong, to establish an educational plan based on the Backward Design. Therefore, this study is significant because it is the first study to apply the Backward Design theory in value culture research, which has been lacking in the field of Korean language education. Also, it suggests an educational plan that connects value culture education and language skills education. With this study, it can be expected that studies in Korean value culture and studies using the Backward design may be actively conducted in the field of Korean education.

      • KCI등재

        Distance Sensitive AdaBoost using Distance Weight Function

        Wonju Lee,Minkyu Cheon,Chang-Ho Hyun,Mignon Park 한국지능시스템학회 2012 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.12 No.2

        This paper proposes a new method to improve performance of AdaBoost by using a distance weight function to increase the accuracy of its machine learning processes. The proposed distance weight algorithm improves classification in areas where the original binary classifier is weak. This paper derives the new algorithm’s optimal solution, and it demonstrates how classifier accuracy can be improved using the proposed Distance Sensitive AdaBoost in a simulation experiment of pedestrian detection.

      • Structural Connectedness of Termite Tunnel Networks

        Wonju Jeon,Sheon-Young Kang,Sang-Hee Lee 한국응용곤충학회 2009 한국응용곤충학회 학술대회논문집 Vol.2009 No.05

        Subterranean termites excavate tunnels for searching and transporting food below the ground, which in turn causes complicated tunnel networks. In the present study, we explored the connectedness of the networks by using spectral graph theory. In the theory, tunnel network pattern can be constitutively expressed by the Laplacian matrix, and among the set of all eigenvalues of the matrix, the second eigenvalue directly reflects the degree of the connectedness. We constructed the simulated tunnel networks for Coptotermes formosanus and Riparius flavipes by the use of a lattice model suggested by Lee et al., (2006) and computed their connectedness. The results showed that the values of the connectedness between the two species were statistically-significantly different. We briefly discussed the results in relation to foraging efficiency.

      • KCI등재

        An Improvement of AdaBoost using Boundary Classifier

        Wonju Lee(이원주),Minkyu Cheon(천민규),Chang-Ho Hyun(현창호),Mignon Park(박민용) 한국지능시스템학회 2013 한국지능시스템학회논문지 Vol.23 No.2

        The method proposed in this paper can improve the performance of the Boosting algorithm in machine learning. The proposed Boundary AdaBoost algorithm can make up for the weak points of Normal binary classifier using threshold boundary concepts. The new proposed boundary can be located near the threshold of the binary classifier. The proposed algorithm improves classification in areas where Normal binary classifier is weak. Thus, the optimal boundary final classifier can decrease error rates classified with more reasonable features. Finally, this paper derives the new algorithm’s optimal solution, and it demonstrates how classifier accuracy can be improved using the proposed Boundary AdaBoost in a simulation experiment of pedestrian detection using 10-fold cross validation.

      • Three-Dimensional Superlocalization Imaging of Gliding Mycoplasma mobile by Extraordinary Light Transmission through Arrayed Nanoholes

        Lee, Wonju,Kinosita, Yoshiaki,Oh, Youngjin,Mikami, Nagisa,Yang, Heejin,Miyata, Makoto,Nishizaka, Takayuki,Kim, Donghyun AMERICAN CHEMICAL SOCIETY 2015 ACS NANO Vol.9 No.11

        <P>In this paper, we describe super-resolved sampling of live bacteria based on extraordinary optical transmission (EOT) of light. EOT is produced by surface plasmon confinement and coupling with nanostructures. Bacterial fluorescence is excited by the localized fields for subdiffraction-limited sampling. The concept was applied to elucidating bacterial dynamics of gliding Mycoplasma mobile (M. mobile). The results analyzed with multiple M. mobile bacteria show individual characters and reveal that M. mobile undergoes a significant axial variation at 94 nm. The sampling error of the method is estimated to be much smaller than 1/10 of the diffraction limit both in the lateral and depth axis. The method provides a powerful tool for investigation of biomolecular dynamics at subwavelength precision.</P>

      • HARQ Buffer Management: An Information-Theoretic View

        Wonju Lee,Simeone, Osvaldo,Joonhyuk Kang,Rangan, Sundeep,Popovski, Petar IEEE 2015 IEEE TRANSACTIONS ON COMMUNICATIONS Vol.63 No.11

        <P>A key practical constraint on the design of hybrid automatic repeat request (HARQ) schemes is the size of the on-chip buffer that is available at the receiver to store previously received packets. In fact, in modern wireless standards such as LTE and LTE-A, the HARQ buffer size is one of the main drivers of the modem area and power consumption. This has recently highlighted the importance of HARQ buffer management, that is, of the use of buffer-aware transmission schemes and of advanced compression policies for the storage of received data. This work investigates HARQ buffer management by leveraging information-theoretic achievability arguments based on random coding. Specifically, standard HARQ schemes, namely Type-I, Chase Combining, and Incremental Redundancy, are first studied under the assumption of a finite-capacity HARQ buffer by considering both coded modulation, via Gaussian signaling, and Bit Interleaved Coded Modulation (BICM). The analysis sheds light on the impact of different compression strategies, namely the conventional compression log-likelihood ratios and the direct digitization of baseband signals, on the throughput. The optimization of coding blocklength is also investigated, highlighting the benefits of HARQ buffer-aware transmission scheme.</P>

      • SCISCIESCOPUS

        Multivariate Fronthaul Quantization for Downlink C-RAN

        Wonju Lee,Simeone, Osvaldo,Joonhyuk Kang,Shamai, Shlomo Institute of Electrical and Electronics Engineers 2016 IEEE transactions on signal processing Vol.64 No.19

        <P>The cloud-radio access network (C-RAN) cellular architecture relies on the transfer of complex baseband signals to and from a central unit (CU) over digital fronthaul links to enable the virtualization of the baseband processing functionalities of distributed radio units (RUs). The standard design of digital fronthauling is based on either scalar quantization or on more sophisticated point-to-point compression techniques operating on baseband signals. Motivated by network-information theoretic results, techniques for fronthaul quantization and compression that improve over point-to-point solutions by allowing for joint processing across multiple fronthaul links at the CU have been recently proposed for both the uplink and the downlink. For the downlink, a form of joint compression, known in network information theory as multivariate compression, was shown to be advantageous under a nonconstructive asymptotic information-theoretic framework. In this paper, instead, the design of a practical symbol-by-symbol fronthaul quantization algorithm that implements the idea of multivariate compression is investigated for the C-RAN downlink. As compared to current standards, the proposed multivariate quantization (MQ) only requires changes in the CU processing while no modification is needed at the RUs. The algorithm is extended to enable the joint optimization of downlink precoding and quantization, reduced-complexity MQ via successive block quantization, and variable-length compression. Numerical results, which include performance evaluations over standard cellular models, demonstrate the advantages of MQ and the merits of a joint optimization with precoding.</P>

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