• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.813-829
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• 2022

In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.2147-2155
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• 2022

Nuclear safety-related underground liquid storage tanks, such as those used to store fuel for emergency diesel generators, are critical components for safety of hundreds of existing nuclear power plants (NPP) worldwide. Since most of those NPP will continue to operate for decades, a beyond design base (BDB) seismic screening of safety-related underground tanks in those NPP is beneficial and essential to public safety. The analytical methodology for buried tank subjected to seismic effect, including a BDB seismic evaluation, needs to consider both soil-structure and fluid-structure interaction effects. Comprehensive analysis of such a soil-structure-fluid system is costly and time consuming, often subjected to availability of state-of-art finite element tools. Simple, but practically and reasonably accurate techniques for seismic evaluation of underground liquid storage tanks have not been established. In this study, a mechanics based solution is proposed for the evaluation of a cylindrical underground liquid storage tank using hand calculation methods. For validation, a practical example of two underground diesel fuel tanks in an existing nuclear power plant is presented and application of the proposed method is confirmed by using published results of the computer-aided System for Analysis of Soil Structural Interaction (SASSI). The proposed approach provides an easy to use tool for BDB seismic assessment prior to making decision of applying more costly technique by owner of the nuclear facility.

• 한국게임학회 논문지
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• 제22권1호
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• pp.55-64
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• 2022

기능성 게임(serious game)은 특정 목적을 위해 제작된 게임을 일컫는다. 본 연구는 사회 변화를 촉구하는 기능성 게임의 이론적 배경을 연구함으로써 다양한 시도를 위한 토대를 제공하고자 한다. 먼저 게임의 요소와 게임 관련 이론들을 살펴봄으로써 서사적 몰입과 비판적 참여라는 상반된 참여 방식이 공통적으로 역할 놀이(role play)를 통해 이루어지고 있음을 설명하였다. 나아가 교육 이론을 바탕으로 역할 놀이가 인지 및 행동 변화를 촉구할 수 있다는 점에서 사회 문제를 다루는 기능성 게임의 전략으로 활용할 것을 제안하였다. 국내 기능성 게임의 사례 조사를 통해 역할 놀이가 어떠한 방식으로 구현되었는지 살펴보았으며 이를 토대로 역할 놀이가 상황적 맥락에 참여하도록 한다는 것을 그 공통적인 요소로 도출하였다.

• Nuclear Engineering and Technology
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• 제55권2호
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• pp.603-622
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• 2023

Human error (HE) is an important concern in safety-critical systems such as nuclear power plants (NPPs). HE has played a role in many accidents and outage incidents in NPPs. Despite the increased automation in NPPs, HE remains unavoidable. Hence, the need for HE detection is as important as HE prevention efforts. In NPPs, HE is rather rare. Hence, anomaly detection, a widely used machine learning technique for detecting rare anomalous instances, can be repurposed to detect potential HE. In this study, we develop an unsupervised anomaly detection technique based on generative adversarial networks (GANs) to detect anomalies in manually collected surveillance data in NPPs. More specifically, our GAN is trained to detect mismatches between automatically recorded sensor data and manually collected surveillance data, and hence, identify anomalous instances that can be attributed to HE. We test our GAN on both a real-world dataset and an external dataset obtained from a testbed, and we benchmark our results against state-of-the-art unsupervised anomaly detection algorithms, including one-class support vector machine and isolation forest. Our results show that the proposed GAN provides improved anomaly detection performance. Our study is promising for the future development of artificial intelligence based HE detection systems.

• Geomechanics and Engineering
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• 제34권5호
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• pp.507-527
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• 2023

Accurately estimation of the geo-mechanical parameters in Artificial Ground Freezing (AGF) is a most important scientific topic in soil improvement and geotechnical engineering. In order for this, one way is using classical and conventional constitutive models based on different theories like critical state theory, Hooke's law, and so on, which are time-consuming, costly, and troublous. The others are the application of artificial intelligence (AI) techniques to predict considered parameters and behaviors accurately. This study presents a comprehensive data-mining-based model for predicting the Young's Modulus of frozen sand under the triaxial test. For this aim, several single and hybrid models were considered including additive regression, bagging, M5-Rules, M5P, random forests (RF), support vector regression (SVR), locally weighted linear (LWL), gaussian process regression (GPR), and multi-layered perceptron neural network (MLP). In the present study, cell pressure, strain rate, temperature, time, and strain were considered as the input variables, where the Young's Modulus was recognized as target. The results showed that all selected single and hybrid predicting models have acceptable agreement with measured experimental results. Especially, hybrid Additive Regression-Gaussian Process Regression and Bagging-Gaussian Process Regression have the best accuracy based on Model performance assessment criteria.

• Animal Bioscience
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• 제37권1호
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• pp.1-15
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• 2024

Poultry coccidiosis is an intestinal infection caused by an intracellular parasitic protozoan of the genus Eimeria. Coccidia-induced gastrointestinal inflammation results in large economic losses, hence finding methods to decrease its prevalence is critical for industry participants and academic researchers. It has been demonstrated that coccidiosis can be effectively controlled and managed by employing anticoccidial chemical compounds. However, as a result of their extensive use, anticoccidial drug resistance in Eimeria species has raised concerns. Phytochemical/herbal medicines (Artemisia annua, Bidens pilosa, and garlic) seem to be a promising strategy for preventing coccidiosis, in accordance with the "anticoccidial chemical-free" standards. The impact of herbal supplements on poultry coccidiosis is based on the reduction of oocyst output by preventing the proliferation and growth of Eimeria species in chicken gastrointestinal tissues and lowering intestinal permeability via increased epithelial turnover. This review provides a thorough up-to-date assessment of the state of the art and technologies in the prevention and treatment of coccidiosis in chickens, including the most used phytochemical medications, their mode of action, and the applicable legal framework in the European Union.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.213-219
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• 2023

In recent years, popularity of deep learning (DL) is increased due to its ability to extract features from Hyperspectral images. A lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It's also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study.EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

• 한국언론정보학보
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• 제17권
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• pp.145-178
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• 2001

사진과 사진행위에 대한 부르디외의 사회학적인 분석은 $\ll$중간예술$\gg$과 $\ll$구별짓기$\gg$를 통해 발표되었다. 여러 문화적 산물들 중 사진은 사회과학에서 소홀히 다루어져 왔기 때문에 사진에 대한 부르디외의 연구는 주목할 만한 가치가 있다. 특히 $\ll$중간예술$\gg$은 거의 모든 사진 장르들을 다루면서 사회적 계급들이 사진에 대해 적용하는 규범 체계들, 사진행위의 유형들, 여러 분야의 전문 사진사들이 자신들의 직업에 대해 가지고 있는 생각들과 그들이 참조하는 미학들을 분석하고 있고 최종적으로는 그러한 분석을 바탕으로 사진에 대한 정신분석학적 분석도 시도함으로써 사진과 사진행위에 대해 체계적이고 명료하게 인식할 수 있는 기회를 제공했다는 점에서 대단히 의미가 있는 작업이라 할 수 있다. 그러나 주요 분석 대상인 사진이 급속한 기술적 변화를 겪고 있는 매체이며 경제적이고 문화적인 요인들의 변화에 따른 위상의 변화를 보이고 있는 매체라는 점에서 부르디외의 분석은 오늘날 몇 가지 수정되어야 할 부분들을 가지게 되었다. 우선 부르디외가 강조한 사진의 사회적 기능이 무척 약화되었다. 반면에 사진의 예술적 지위는 대단히 상승했다. 이에 따라, 사진과 사진행위를 둘러싼 사회적 계급간의 관계들도 변했을 것이라 가정할 수 있다. 물론 이러한 계급간의 관계의 변화는 이후의 연구들을 통해 입증되어야 할 것이지만 적어도 오늘날, 부르디외가 연구를 진행했던 시기처럼 단호하게 사진을 중간예술이라고 규정하는 것은 무리가 있어 보인다. 따라서 부르디외의 작업을 현재의 상황에 무비판적으로 적용하기 전에 그 작업을 1960년대의 프랑스라는 사회적이고 역사적인 특수성 안에 위치시키고 사회학, 심리학, 미학, 기호학이 충돌하는 지식의 장 속에서 부르디외의 역할을 살펴봄으로써 그의 연구가 갖는 특성과 한계에 대해 명확히 인식할 필요가 있다.

• 한국연극학
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• 제40호
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• pp.307-344
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• 2010

Cultural Studies built on the critical mind of New Left exposes the relationship between culture and power, and investigates how this relationship develops the cultural convention. It has achieved the new perspective that could make us to think culture and art in terms of political correctness. However, the critical voices against the theoretical premises of Cultural Studies have been increased as its heyday in 1980s was nearly over. For instance, Terry Eagleton, a former Marxist literary critic, declared in 2003 that the golden age of cultural theory is long past. This essay, therefore, intends to show the weak foundations on which the approaches of cultural studies to theatre rest and to clarify the general problem of their introduction to theatre studies. The approach of cultural studies to theatre takes the form of 'top-down inquiry' as it applies a theory to a particular play or historical period. In other word, from the theory the writer moves to the particular case. The result is not an inquiry but rather a demonstration. This circularity can destroy the point of serious intellectual investigation as the theory dictates answers. The goal-oriented narrow viewpoint as a logical consequence of 'top-down inquiry' makes the researcher to favor the plays or the parts of a play that are proper to test a theory. As a result it loses the fair judgment on the artistic value of a play, and brings about the misinterpretation. The interpreter-oriented reading is the other defect of cultural studies as it disregards the inherent meaning of the text, distorting a play. The approach of cultural studies also consists of a conventionality as it arrives at a stereotyped interpretation by using certain conventions of reasoning and rhetoric. The cultural theories are fundamentally the 'outside theories' that seek to explain not theatre but the very broad features of society and politics. Consequently their application to theatre risks the destructive criticism, disregarding the inherent experience of theatre. Most of, if not all, cultural theories, furthermore, are proven to be lack of empirical basis. The alternative method to them is a 'cognitive science' that proves scientifically our mind being influenced by bodily experience. The application of cultural materialism to Shakespeare's is one of the cases that reveal the limits of cultural studies. Jonathan Dollimore and Water Cohen provide a kind of 'canonical study' in this application that is imitated by the succeeding researchers. As a result the interpretation of has been flooded with repetitive critical remarks, revealing the problem of 'top-down inquiry' and conventional reasoning. Cultural Studies is antipodal to theatre in some respect. It is interested chiefly in the social and political reality while theatre aims to create the fiction world. The theatre studies, therefore, may have to risk the danger of destroying its own base when it adopts cultural studies uncritically. The different stance between theatre and cultural theories also occurs from the opposition of humanism vs. antihumanism. We have to introduce cultural theories selectively and properly not to destroy the inherent experience and domain of theatre.

• 한국언론정보학보
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• 제57권
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• pp.33-48
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• 2012

노동 혹은 일은, 변화된 경제 현실을 제시하고 표상하는 담론 속에서 중심적 역할을 하여 왔다. 지식 노동, 심미적 노동, 체험 노동, 네트워크 노동, 팀워크 같은 노동의 서사들은 일의 변화를 둘러싼 새로운 표상을 생산하며 새로운 경제 질서의 동일성을 규정하고 지배하고자 애쓴다. 물론 이는 새로운 노동주체를 형성함으로써 자본의 효과적인 지배를 가능케 하였던 여러 전략 가운데 일부이다. 나는 이 글에서 새로운 노동 담론에서 핵심적인 의의를 차지하는 미디어 노동을 비판적으로 분석하고자 시도한다. 그리고 미디어 노동의 정체성의 변화, 그 가운데서도 미디어 노동의 주체성의 전환을 이해하는 것이 현재 미디어 노동의 '현실'을 이해하는 데 매우 중요한 부분임을 주장하려 한다. 특히 최근 광범한 비정규직 고용의 형태로 나타나는 미디어 노동의 불안정성에 대한 비판과 개입이 효과적이기 위해 무엇보다 미디어 노동의 주체성에 대한 고려가 필요하다는 점을 강조하려 한다. 미디어 노동에 참여하는 노동자의 정체성을 형성하는데 연관되어 있는 이질적이고 복잡한 실천들을 고려하지 않은 채 미디어 노동을 이해하는 한, 미디어 노동은 단순히 법률적이고 경제적인 이해의 대상에 머물고 말 것이다. 그리고 이는 미디어 노동을 둘러싼 문화정치적 쟁점을 간과하도록 말 것이다. 이런 물음을 보다 가다듬고 정의하기 위하여, 이 글은 기존의 비판적 미디어 연구와 문화연구 그리고 커뮤니케이션 정치경제학 담론 안에서의 미디어 노동에 대한 논의를 참고한다. 그리고 한국에서의 미디어 노동 특히 미디어 노동의 주체의 정체성을 둘러싼 주요한 논의를 간략히 살펴볼 것이다. 그리고 이로부터 미디어 노동을 생산하는 헤게모니적인 권력에 대항하고자 한다면 어떤 이론적이고 분석적인 과제가 요구되는지 제안해보고자 한다. 따라서 이 글은 미디어 노동의 현실에 대한 경험적인 분석이라기보다는 그러한 분석을 확장하기 위한 질문을 다듬어 보려는 시론적인 글에 불과하다.