• 유통과학연구
• /
• 제19권9호
• /
• pp.65-77
• /
• 2021

Purpose: Distributed leadership (DL) is a comprehensive and analytical way to understand how leadership manifests itself among people and in the context of a complex organization. With technological advances and seemingly ever-changing pressures on the environment, it is important for education leaders to represent their practice. This study aims to discuss the significance of DL and its role in education. Research design, data and methodology: The present researcher used Qualitative Content Analysis (QCA) because it is credible, transferable, dependable, and confirmable proving its trustworthiness. To begin with, QCA entails a sufficient representation of the social realities being studied, credibility. Results: The investigation of this study indicates that the documents are in the proper functioning of schools to highlight the potential impact of collaborative practices, many of which require sharing school fees. DL can be meant as "influence relationships," discussions in groups, government, and non-leaders, about how teachers influence each other, and teamwork was easy. Conclusions: This study suggests that management can significantly impact organizational changes in management practices to distribute or skip something planned. DL is not a panacea, plan, or formula. Rather, it is a way to get under the skin of local leadership and restore the potential for change in the organization.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권4호
• /
• pp.1275-1292
• /
• 2021

As a fine-grained classification problem, aspect-level sentiment classification predicts the sentiment polarity for different aspects in context. To address this issue, researchers have widely used attention mechanisms to abstract the relationship between context and aspects. Still, it is difficult to effectively obtain a more profound semantic representation, and the strong correlation between local context features and the aspect-based sentiment is rarely considered. In this paper, a hybrid attention capsule network for aspect-level sentiment classification (ABASCap) was proposed. In this model, the multi-head self-attention was improved, and a context mask mechanism based on adjustable context window was proposed, so as to effectively obtain the internal association between aspects and context. Moreover, the dynamic routing algorithm and activation function in capsule network were optimized to meet the task requirements. Finally, sufficient experiments were conducted on three benchmark datasets in different domains. Compared with other baseline models, ABASCap achieved better classification results, and outperformed the state-of-the-art methods in this task after incorporating pre-training BERT.

• Smart Structures and Systems
• /
• 제30권3호
• /
• pp.303-315
• /
• 2022

The degradation of wheel tread may result in serious hazards in the railway operation system. Therefore, timely wheel defect diagnosis of in-service trains to avoid tragic events is of particular importance. The focus of this study is to develop a novel wheel defect detection approach based on the relevance vector machine (RVM) which enables online detection of potentially defective wheels with trackside monitoring data acquired under different running-speed conditions. With the dynamic strain responses collected by a trackside monitoring system, the cumulative Fourier amplitudes (CFA) characterizing the effect of individual wheels are extracted to formulate multiple probabilistic regression models (MPRMs) in terms of multi-kernel RVM, which accommodate both variables of vibration frequency and running speed. Compared with the general single-kernel RVM-based model, the proposed multi-kernel MPRM approach bears better local and global representation ability and generalization performance, which are prerequisite for reliable wheel defect detection by means of data acquired under different running-speed conditions. After formulating the MPRMs, we adopt a Bayesian null hypothesis indicator for wheel defect identification and quantification, and the proposed method is demonstrated by utilizing real-world monitoring data acquired by an FBG-based trackside monitoring system deployed on a high-speed trial railway. The results testify the validity of the proposed method for wheel defect detection under different running-speed conditions.

• ETRI Journal
• /
• 제44권1호
• /
• pp.51-61
• /
• 2022

In this paper, we introduced a novel voxel-wise UV parameterization and view-dependent texture synthesis for the immersive rendering of a truncated signed distance field (TSDF) scene model. The proposed UV parameterization delegates a precomputed UV map to each voxel using the UV map lookup table and consequently, enabling efficient and high-quality texture mapping without a complex process. By leveraging the convenient UV parameterization, our view-dependent texture synthesis method extracts a set of local texture maps for each voxel from the multiview color images and separates them into a single view-independent diffuse map and a set of weight coefficients for an orthogonal specular map basis. Furthermore, the view-dependent specular maps for an arbitrary view are estimated by combining the specular weights of each source view using the location of the arbitrary and source viewpoints to generate the view-dependent textures for arbitrary views. The experimental results demonstrate that the proposed method effectively synthesizes texture for an arbitrary view, thereby enabling the visualization of view-dependent effects, such as specularity and mirror reflection.

• Earthquakes and Structures
• /
• 제24권6호
• /
• pp.393-404
• /
• 2023

This paper presents the application of hybrid-simulation-based adapter elements for the non-linear two-scale analysis of reinforced concrete frames with masonry infills under seismic-like demands. The approach provides communication and distribution of the computations carried out by two or more remote or locally distributed numerical models connected through the OpenFresco Framework. The modeling consists of a global analysis formed by macro-elements to represent frames and walls, and to reduce global degrees of freedom, portions of the structure that require advanced analysis are substituted by experimental elements and dimensional couplings acting as interfaces with their respective sub-assemblies. The local sub-assemblies are modeled by solid finite elements where the non-linear behavior of concrete matrix and masonry infill adopt a continuum damage representation and the reinforcement steel a discrete one, the conditions at interfaces between concrete and masonry are considered through a contact model. The methodology is illustrated through the analysis of a frame-wall system subjected to lateral loads comparing the results of using macro-elements, finite element model and experimental observations. Finally, to further assess and validate the methodology proposed, the paper presents the pushover analysis of two more complex structures applying both modeling scales to obtain their corresponding capacity curves.

• 수완나부미
• /
• 제6권1호
• /
• pp.161-191
• /
• 2014

The entry of the logging industry in the once heavily forested riverine middle Agusan Valley where aboriginal Manobos live meant the entry of the material practice of wage labor into this out-of-the-way place. Wage labor converted the once relatively isolated, subsistence animist Manobos into laborers of the expanding capitalist regime. A symptom of modernity, this wage labor also accompanied the coming of Visayan settlers (also loggers paid by wage) who introduced indigenous Manobos the compadrazgo social relationship. This friendly relationship across ethnic identities legitimated social ties and is a social material practice represented in recent bilingual Manobo possession rituals where the Visayan spirit is incarnated along with Manobo spirits. To understand the idea behind spirit embodiment, I explore Manobo ritual as mimesis or poeisis. This representation is shaped by concrete material realities as much as these realities, in turn, are reconfigured by ritual practice. In the older Manobo cosmology, which is based on subsistence economy and dependent on the forest and rivers, individuals have an externalized self (as manifest in the idea of twin soul), in which the inner vital principle is co-extensive with a spirit double in cosmos. Manobos imitate the perceived workings of nature in ritual so as to control them in times of illnesses. In contrast, the mimesis of the Visayan spirit is based on a different political economic set up with its attendant asymmetrical interpersonal relationship. By symbolically representing the Visayan patron as friend, Manobos are able to negotiate the predicament of their subalternity in local modernity.

• Corrosion Science and Technology
• /
• 제23권2호
• /
• pp.145-153
• /
• 2024

In the automotive industry, the hole expanding test is widely used to assess the formability of punched holes in sheets. This test provides a good representation of formability within the framework defined by the ISO 16630 standard. During hole expanding tests on galvanized high strength steels, a negative effect was observed when there was a delay between hole punching and expansion, as compared to performing both operations directly. This effect is believed to be caused by hydrogen aging, which occurs when hydrogen diffuses towards highly-work hardened edges. Therefore, the aim of this study is to demonstrate the migration of hydrogen towards work-hardened edges in high strength Zn-coated steel sheets using a novel Thermal Desorption Analyzer (TDA) designed for small samples. This newly-developed TDA setup allows for the quantification of local diffusible hydrogen near cut edges. With its induction heating and ability to analyze Zn-coated samples while reducing artifacts, this setup offers flexible heat cycles. Through this method, a hydrogen gradient is observed over short distances in shear-cut galvanized steel sheets after a certain period of time following punching.

• 한국지역지리학회지
• /
• 제9권4호
• /
• pp.576-591
• /
• 2003

본 연구는 지방자치제 실시 이후 지역전통과 문화자원을 바탕으로 한 지역축제를 통해 지역상징을 재창출하고 이를 지역활성화 전략으로 활용하고 있는 전남 장성군을 사례로 과거의 역사적 사실이 어떻게 지역의 상징 및 정체성으로 정립되고, 현재의 지역사회에 재구성되는가를 고찰한 사례연구이다. 장성은 조선의 유림 중 뛰어난 인물중의 하나인 하서 김인후와 그를 배향하고 있는 필암서원으로 상징되는 '선비의 고장'으로 알려져 왔고, 동학군의 활동에서 중요한 전기가 마련된 황룡강 전투지역과 한말 의병의 중요한 근거지였다고 하는 역사적 사실로 인해 근래에는 '의향'으로 정립되어 온 지역이다. 이와 더불어 최근에는 홍길동전의 주인공인 홍길동의 생가로 추정되는 곳이 발굴되면서 홍길동을 지역상징으로 재구성하여 지역활성화를 꾀하고 있는 '홍길동축제'의 중심지로 알려진 곳이다. 홍길동축제는 올해로 5회째라는 비교적 짧은 역사에도 불구하고 장성군을 대표하는 지역축제로 자리잡아 가면서 홍길동 캐릭터를 이용한 지역로고, 생가터의 관광자원화 등 이와 관련한 다양한 지역문화경관을 창출하고 있다. 오랫동안 이 지역의 정체성의 중심에 있었던 '선비의 고장', '의향'으로서 장성은 홍길동축제의 역동적이고 외부적인 이미지를 강화시킨 이벤트전략과 축제의 강한 시장지향적 속성이 창출하는 지역활성화라는 명분 앞에 '홍길동의 고장, 장성'이라는 전통의 창출과 재구성을 경험하고 있다. 전통의 재구성과 현재적 활용이라는 측면에서 홍길동축제는 이제 그동안 이 지역의 역사적 경험에 기초한 전통과 문화를 다양한 물리적 지역경관과 함께 어떻게 현재의 지평에서 불러내 활용할 것인가, 그리고 이를 위한 지역사회의 다양한 목소리를 어떻게 담아낼 것인가에 진정한 지역통합 및 지역활성화의 기능을 담당할 수 있을 것이다.

• 대한전자공학회논문지SP
• /
• 제48권1호
• /
• pp.71-79
• /
• 2011

이미징 파이프라인(imaging pipeline)의 목적은 디스플레이 되는 영상을 원영상과 비슷하게 변환하는 것이다. 이를 위해 감마 조정 혹은 히스토그램기반 방법이 영상대비와 세부 영역을 개선하기 위해 제안되었다. 그러나 이러한 방법들은 조도성분과 색도성분이 위치에 따라 변화하므로 영상 개선에 한계가 있다. 따라서 MSR (Multi-Scale Retinex) 기법이 제안되었으며, 이는 영상에 따른 가우시안 필터의 크기에 의존하며, 독립적인 로그 신호를 기반으로 한다. 그러므로 영상 보정 후 후광효과(Halo), 색상변화(Color change or graying-out), 특정 색상의 두드러짐 등의 영상 왜곡(image distortion)이 발생한다. 따라서 본 논문에서는 영상을 전역조명성분, 국부조명성분, 반사성분으로 나누는 새로운 색상 보정 방법을 제안한다. 제안한 방법에서 전역조명성분은 가우시안 필터를 작용하여 획득하며, 국부 조명성분은 JND(Just-noticeable difference)기반 적응적 필터를 적용하여 획득한다. 반사성분은 원 영상에 획득된 전역조명성분과 국부조명성분으로 나누어 줌으로써 획득된다. 개선된 영상은 멱함수(power function)를 수행한 후 이들의 곱으로 획득되며, sRGB로 표현된다. 실험 결과에서 제안한 방법이 기존의 방법에 비해 우수한 성능을 보인다.

• 한국컴퓨터정보학회논문지
• /
• 제29권7호
• /
• pp.41-51
• /
• 2024

본 논문에서는 적외선 이미지에서 딥러닝 물체 탐지를 사용하여 유도무기의 표적 탐지 정확도 향상 방법을 연구한다. 적외선 이미지의 특성은 시간, 온도 등의 요인에 의해 영향을 받기 때문에 모델을 학습할 때 다양한 환경에서 표적 객체의 특징을 일관되게 표현하는 것이 중요하다. 이러한 문제를 해결하는 간단한 방법은 적절한 전처리 기술을 통해 적외선 이미지 내 표적 객체의 특징을 강조하고 노이즈를 줄이는 것이다. 그러나, 기존 연구에서는 적외선 영상 기반 딥러닝 모델 학습에서 전처리기법에 관한 충분한 논의가 이루어지지 못했다. 이에, 본 논문에서는 표적 객체 검출을 위한 적외선 이미지 기반 훈련에 대한 이미지 전처리 기술의 영향을 조사하는 것을 목표로 한다. 이를 위해 영상과 이미지의 전역(global) 또는 지역(local) 정보를 활용한 적외선 영상에 대한 전처리인 Min-max normalization, Z-score normalization, Histogram equalization, CLAHE (Contrast Limited Adaptive Histogram Equalization)에 대한 결과를 분석한다. 또한, 각 전처리 기법으로 변환된 이미지들이 객체 검출기 훈련에 미치는 영향을 확인하기 위해 다양한 전처리 방법으로 처리된 이미지에 대해 YOLOX 표적 검출기를 학습하고, 이에 대한 분석을 진행한다. 실험과 분석을 통해 전처리 기법들이 객체 검출기 정확도에 영향을 미친다는 사실을 알게 되었다. 특히, 전처리 기법 중에서도 CLAHE 기법을 사용해 실험을 진행한 결과가 81.9%의 mAP (mean average precision)을 기록하며 가장 높은 검출 정확도를 보임을 확인하였다.