• Journal of Electrical Engineering and Technology
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• 제11권6호
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• pp.1839-1845
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• 2016

Detecting remote targets is important to active protection system (APS) or infrared search and track (IRST) applications. In normal situation, the well-known constant false alarm rate (CFAR) detector works properly. However, decoys in APS or closely spaced targets in IRST degrade the detection capability by increasing background noise level in the CFAR detector. This paper presents a context aware CFAR detector by the intensity sorting and selection of background region to reduce the effect of neighboring targets that lead to incorrect estimation of background statistics. The existence of neighboring targets can be recognized by intensity sorting where neighboring targets usually show highest ranks. The proposed background statistics (mean, standard deviation) estimation method from median local pixels can be aware of the background context and reduce the effects of the neighboring targets, which increase the signal-to-clutter ratio. The experimental results on the synthetic APS sequence, real adjacent target sequence, and remote pedestrian sequence validated that the proposed method produced an enhanced detection rate with the same false alarm rate compared with the hysteresis-CFAR (H-CFAR) detection.

• ETRI Journal
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• 제42권2호
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• pp.230-238
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• 2020

Human-object interaction (HOI) detection is a popular computer vision task that detects interactions between humans and objects. This task can be useful in many applications that require a deeper understanding of semantic scenes. Current HOI detection networks typically consist of a feature extractor followed by detection layers comprising small filters (eg, 1 × 1 or 3 × 3). Although small filters can capture local spatial features with a few parameters, they fail to capture larger context information relevant for recognizing interactions between humans and distant objects owing to their small receptive regions. Hence, we herein propose a three-stream HOI detection network that employs a context convolution module (CCM) in each stream branch. The CCM can capture larger contexts from input feature maps by adopting combinations of large separable convolution layers and residual-based convolution layers without increasing the number of parameters by using fewer large separable filters. We evaluate our HOI detection method using two benchmark datasets, V-COCO and HICO-DET, and demonstrate its state-of-the-art performance.

• 한국지역지리학회지
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• 제14권6호
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• pp.664-679
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• 2008

본 논문의 목적은 대도시인 대구광역시 주변 농촌지역인 고령군을 사례로 지역경제 여건과 지역경제 활성화 관련 계획을 분석하고, 이를 토대로 지역경제 활성화를 위한 정책 과제를 제시하는 것이다. 고령군은 대도시 접경지역이며, 광역 교통망에 효과적으로 연계되어 있는 위치적 이점을 가지고 있으나, 제조업과 서비스업보다는 농업의 비중이 여전히 높은 산업구조 특성을 나타내는 지역이다. 하지만, 고령군 지역경제 계획을 검토한 결과, 고령군의 지역경제발전계획은 지역의 여건을 고려하여 지역 특화 산업을 선별하고, 이를 포괄적인 관점에서 접근하기 보다는 보편적인 지역발전 계획에 그치고 있는 것으로 나타났다. 따라서 고령군의 지역경제 활성화 계획은 백화점식 사업 계획을 지양하고, 지역 특수성과 산업 역량 및 잠재성을 고려하여 사업 대상에 대한 선택과 집중을 통해 중장기적 관점에서 전략적이고, 체계적으로 추진할 필요가 있다. 고령군은 첨단 제조업이나 고차서비스산업의 육성이라는 환상을 깨고 경쟁력 기반을 갖춘 산업 부문 및 품목을 전략적으로 설정하여 가치사슬 측면에서 핵심 산업과 연관 산업을 연결하는 부문을 통합적으로 육성해야 할 것이다. 이러한 맥락에서, 본 연구는 고령군 지역경제 활성화 정책 대안으로서 농업과 서비스산업이 연관된 산업 융합형 친환경 특화농업 클러스터와 조립금속 및 운송장비 제조업에 특화된 산업특성화 전문산업단지 조성을 제안하였다.

• 한국인터넷방송통신학회논문지
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• 제8권3호
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• pp.15-23
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• 2008

본 논문에서는 유비쿼터스 지능공간의 구현을 위해 CIB 프레임워크를 제안한다. 유비쿼터스 지능공간에서 유비쿼터스 모바일 디바이스는 주변 상황을 스스로 인지, 판단하여 서비스를 제공한다. CIB 프레임워크에서 유비쿼터스 모바일 디바이스는 리소스 및 정보의 효율적인 관리를 위해 RDF 형태의 저장방식을 가진다. 이 저장공간은 새로운 정보의 추가, 수정, 삭제에 유연하며, SPARQL을 이용하여 질의에 응답한다. 또한 주변 유비쿼터스 모바일 디바이스에 내부정보를 XML 형태로 제공하며, 외부에서 수집된 정보를 자신의 디바이스에 맞게 변환하여 저장하는 기능도 제공한다.

• 유통과학연구
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• 제22권8호
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• pp.29-36
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• 2024

Purpose: This study examines the impact of cultural dimensions as an intervening variable on taxpayer compliance in Makassar, Indonesia, with a focus on the Bugis tribe's cultural context. Research design data and methodology: The research aims to understand how attitudes, subjective norms, and perceived behavioral control, influenced by local culture, affect taxpayer compliance. A quantitative research design was employed, collecting primary data through questionnaires distributed to 150 taxpayers, with 125 valid responses analyzed using the Structural Equation Model (SEM) and Partial Least Squares (PLS) methodology. Results: The results indicate that cultural factors significantly mediate the relationship between subjective norms and taxpayer compliance, highlighting the role of local cultural values, such as "Siri Na Pacce," in shaping compliance behavior. Subjective norms positively influence both cultural attitudes and compliance, while attitudes and perceived control have a less significant impact. The findings suggest that integrating cultural awareness into tax policy and education can enhance compliance rates in culturally rich regions. Conclusions: this study underscores the importance of considering cultural dimensionsin tax administration, particularly in regions with strong cultural identities, to improve the effectiveness of tax compliance strategies. The findings contribute to the broader understanding of how cultural context influences economic behavior, offering insights for policymakers and tax authorities.

• 전기학회논문지
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• 제61권2호
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• pp.312-320
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• 2012

In this study, we introduce a new design methodology of a granular-oriented self-organizing polynomial neural networks (GoSOPNNs) that is based on multi-layer perceptron with Context-based Polynomial Neurons (CPNs) or Polynomial Neurons (PNs). In contrast to the typical architectures encountered in polynomial neural networks (PNN), our main objective is to develop a methodological design strategy of GoSOPNNs as follows : (a) The 1st layer of the proposed network consists of Context-based Polynomial Neuron (CPN). In here, CPN is fully reflective of the structure encountered in numeric data which are granulated with the aid of Context-based Fuzzy C-Means (C-FCM) clustering method. The context-based clustering supporting the design of information granules is completed in the space of the input data while the build of the clusters is guided by a collection of some predefined fuzzy sets (so-called contexts) defined in the output space. (b) The proposed design procedure being applied at each layer of GoSOPNN leads to the selection of preferred nodes of the network (CPNs or PNs) whose local characteristics (such as the number of contexts, the number of clusters, a collection of the specific subset of input variables, and the order of the polynomial) can be easily adjusted. These options contribute to the flexibility as well as simplicity and compactness of the resulting architecture of the network. For the evaluation of performance of the proposed GoSOPNN network, we describe a detailed characteristic of the proposed model using a well-known learning machine data(Automobile Miles Per Gallon Data, Boston Housing Data, Medical Image System Data).

• 디지털융복합연구
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• 제12권11호
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• pp.265-272
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• 2014

본 논문에서는 다중센서를 사용한 솔라셀 장비의 상황인지 시스템을 설계하여 산업현장에서 발생할 수 있는 다양한 산업재해를 예방하고 대처하기 위한 시스템을 제안한다. 솔라셀 장비의 주변 및 주요 위치에 다중 센서를 설치하고, 이러한 장치로부터 주변상황과 솔라셀 장비에 대한 데이터를 획득하여 로컬메모리에 저장 후 서버에 전송한다. 저장된 데이터는 상황인지 알고리즘에 의하여 상황을 인지하고 인지된 결과에 따라 판단한다. 관리자는 상황인지 알고리즘을 통해 판단 된 결과에 따라 실시간으로 생산현장과 장비들에 대한 상태를 모니터링 할 수 있는 환경을 갖게 된다. 오늘날 유비쿼터스 환경에 놓인 산업현장의 상황인지 시스템은 실시간 점검을 통해 산업재해에 대처하기 위한 적절한 정보를 제공하는 서비스가 될 것이다.

• Architectural research
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• 제17권4호
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• pp.127-137
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• 2015

A typology study is a comparative study of the physical characteristics of the built environment divided into distinct types such as architecture, culture, and environment. Lao vernacular dwellings were initially created based on the Lao people's behavior in terms of beliefs, traditional culture, lifestyle, and local wisdom with regard to the environment, climate, geography, and materials. The main research method used in this study is a comparative case study of three ethnic dwellings. The multiple data collection tools employed included second source data and primary data to analyze the findings of the unique characteristic typology of Lao vernacular dwellings. The objective of this paper is to compare the cultural and physical contexts, the patterns and origins of settlement, the architecture, the cultures, and the local indigenous knowledge related to the dwellings and settlement of the three main ethnic groups. These three groups are rich in tradition and their documentation is therefore essential for the intellectual history of the society of Lao; this research could therefore aid in enhancing our understanding of the three typologies of Lao vernacular architecture and settlement within the historical and sociocultural contexts of each ethnicity to convey an understanding of Lao vernacular dwellings by analyzing their different types to help identify the differences and similarities among architectural artifacts by recognizing the invisible connections between them, whereby the figurative ornamentation is based on the relationship between man and nature. This study also provides a glimpse of the living culture and characteristic features of Lao vernacular architecture.

• Safety and Health at Work
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• 제6권1호
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• pp.35-38
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• 2015

Background: Organizational changes that involve healthcare hospital departments and care services of health districts, and ongoing technological innovations and developments in society increasingly expose healthcare workers (HCWs) to work-related stress (WRS). Minimizing occupational exposure to stress requires effective risk stress assessment and management programs. Methods: The authors conducted an integrated analysis of stress sentinel indicators, an integrated analysis of objective stress factors of occupational context and content areas, and an integrated analysis between nurses and physicians of hospital departments and care services of health districts in accordance with a multidimensional validated tool developed in Italy by the National Network for the Prevention of Work-Related Psychosocial Disorders. The purpose of this retrospective observational study was to detect and analyze in different work settings the level of WRS resulting from organizational changes implemented by hospital healthcare departments and care services of health districts in a sample of their employees. Results: The findings of the study showed that hospital HCWs seemed to incur a medium level risk of WRS that was principally the result of work context factors. The implementation of improvement interventions focused on team development, safety training programs, and adopting an ethics code for HCWs, and it effectively and significantly reduced the level of WRS risk in the workplace. Conclusion: In this study HCW resulted to be exposed to occupational stress factors susceptible to reduction. Stress management programs aimed to improve work context factors associated with occupational stress are required to minimize the impact of WRS on workers.

• 지역과문화
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• 제8권1호
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• pp.25-53
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• 2021

이 연구는 시대적 맥락에 따라 문화다양성의 해석과 실천이 달라졌다는 전제 아래, 문화다양성의 지역화에 필요한 정책 방향을 모색하는 데 목적이 있다. 첫째, 이 연구에서는 정치투쟁의 결과로 나타난 문화다양성 개념의 해석과 정책실천의 중층성을 분석하여 시대적 맥락에 따라 문화다양성을 해석하고 실천하는 자세가 필요함을 밝혔다. 둘째, 전라북도를 사례로 사회적 소수자가 지역에서 경험한 차별과 문화정책 관계자의 인식을 분석하여 지역에서도 문화다양성이 중층적으로 해석되고 실천됨을 확인하였다. 셋째, 정부 정책의 한계에 대응하여 지역에서 문화다양성 정책을 수립하는데 고려해야 할 방향을 제안하였다. 제안한 내용은 정책의 탈중앙화와 지역차원의 정책 발굴, '분배의 정치'에서 '인정의 정치'로 전환, 분리가 아닌 접촉면을 늘리는 상호문화주의적 접근이다.