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Adaptive Hyperspectral Image Classification Method Based on Spectral Scale Optimization

  • Zhou, Bing;Bingxuan, Li;He, Xuan;Liu, Hexiong
    • Current Optics and Photonics
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    • v.5 no.3
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    • pp.270-277
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    • 2021
  • The adaptive sparse representation (ASR) can effectively combine the structure information of a sample dictionary and the sparsity of coding coefficients. This algorithm can effectively consider the correlation between training samples and convert between sparse representation-based classifier (SRC) and collaborative representation classification (CRC) under different training samples. Unlike SRC and CRC which use fixed norm constraints, ASR can adaptively adjust the constraints based on the correlation between different training samples, seeking a balance between l1 and l2 norm, greatly strengthening the robustness and adaptability of the classification algorithm. The correlation coefficients (CC) can better identify the pixels with strong correlation. Therefore, this article proposes a hyperspectral image classification method called correlation coefficients and adaptive sparse representation (CCASR), based on ASR and CC. This method is divided into three steps. In the first step, we determine the pixel to be measured and calculate the CC value between the pixel to be tested and various training samples. Then we represent the pixel using ASR and calculate the reconstruction error corresponding to each category. Finally, the target pixels are classified according to the reconstruction error and the CC value. In this article, a new hyperspectral image classification method is proposed by fusing CC and ASR. The method in this paper is verified through two sets of experimental data. In the hyperspectral image (Indian Pines), the overall accuracy of CCASR has reached 0.9596. In the hyperspectral images taken by HIS-300, the classification results show that the classification accuracy of the proposed method achieves 0.9354, which is better than other commonly used methods.

The Pregnant Women's Decision-making Process about Their Infants Feeding Method (어머니의 수유방법에 관한 의사결정과정)

  • Jeong, Geum-Hee;Kim, Shin-Jeong
    • Women's Health Nursing
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    • v.6 no.2
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    • pp.203-217
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    • 2000
  • The purpose of this study was done to explore the pregnant women's decision-making process about their infants feeding method. Data collection involved the in-depth unstructured interviews with 12 participants from January 1998 to January 1999. Data analysis was done by the grounded theory method. The 112 concepts, 29 sub-categories were confirmed in the analysis. The sub-categories were again grouped into 14 categories: expectation, situational condition, inevitability of breast-feeding, social recognition, self-awareness as mother, harmony, consideration, pursuit of ease, effect of external environments, lack of knowledge, hardening, the best choice, control, and bargain. " Adjustment through recognizing of motherhood" was the key category that was related to all categories. "Adjustment through recognizing of motherhood" was a process in which the mother became aware of mothering and sharing, and in which she considered herself or infant's needs and their priorities. This research will help nurse to understand mother's needs better. Therefore, nurse will be able to assist mother making the best decision for herself and her infant.

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Global Histidine Phosphoproteomics in Human Prostate Cancer Cells

  • Gao, Yan;Kim, Doeun;Sung, Eunji;Tan, Minjia;Kwon, Tae Gyun;Lee, Jun Nyung;Lee, Sangkyu
    • Mass Spectrometry Letters
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    • v.11 no.3
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    • pp.52-58
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    • 2020
  • Histidine phosphorylation (pHis) is increasingly recognized as an important post translational modification (PTM) in regulating cellular functions in eukaryotes. In order to clarify the role of pHis in mammalian cell signaling system, a global phosphorylation study was performed in human prostate cancer cells, PC-3M, using a TiO2 affinity chromatography. A total number of 307 pHis sites were identified on the 268 proteins among total identified 9,924 phosphorylation sites on 3,316 proteins. In addition, 22 pHis proteins were classified in enzyme category. This report provides the first database for the study of pHis in prostate cancer cells.

An Exploratory Study on the Extraction of Game Addiction Factors (게임 중독 요인추출에 관한 탐색적 연구)

  • Park, Jeong-Eun;Kwon, Hyeog-In
    • Journal of Information Technology Services
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    • v.6 no.3
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    • pp.163-177
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    • 2007
  • This research is the concept of a game addiction absorbed in the game based on the review and analysis of factors that affect the characteristics of game addiction, it is appropriate to extract the purpose of factors. Game addiction factor is composed of a total of 32 questions, and a total of 356 people, to collect data through surveys. Factor analysis of the collected data to the target as a result of physical and mental problems, loss of control, tolerance, and avoidance of real world consists of three sub-factors. Factors that affect flow of tolerance and loss of control, and avoid the real world, including two sub-factors that could determine. Diagnostic game addiction factor in the reliability coefficients (Cronbach alpha) is a robust .966 aspects in the event. The game addiction scale score of 90-game addiction by category 'regular user', 90 points and 114 between the terms 'potentially dangerous user' and 13 percent of the overall. Finally, more than 115 points in the 'high-risk user' has been classified as 5% of the overall distribution of the notice that. Such factors extract game is a game addict, addicted users of the game and tend to properly evaluate and navigate game addiction-related problems early in the game addiction and found it could be used properly.

Content Analysis on Housing Design Guidelines for the Disabled in Korea (국내 장애인주택 디자인가이드라인 내용분석 연구)

  • Kim, Boae;Lee, Yeunsook
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.21 no.1
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    • pp.37-46
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    • 2015
  • Purpose : With a recently growing population of the disabled, the importance of creating the living environment for them has been emphasized, making the design guidelines to play more important role in this sense. This research aims to generalize the existing design guidelines for the housing for the disabled, diagnose their problems, and suggest a systematic and consistent milestone of the guidelines developed in the future. Method : The analysis objects of this research are 1910 categories of the design guidelines for the domestic housing for the disabled, and the research removed the redundancy and separated multi-complex categories. A total of 1424 independent categories were extracted, and been conducted content analysis from three aspects of redundancy, sub-categorization system and descriptive form based on the extracted categories. Results : Redundancy analysis figured out important characteristics by space. Moreover, the current guideline system can be integrated by analysis of sub-category system. Lastly, the research found that the guidelines need to be understood more easily and suggested under accurate criteria by analyzing the descriptive forms. Implication : This research holds significance as a fundamental data to improve the design guidelines for the disabled in the future, ultimately contributing to a better quality of life of the disabled.

Commute Type and Academic Stress among South Korean Undergraduate Students -Sustainable Transport and Academic Environments- (한국 대학생의 통학방법과 학업 스트레스 사이의 연관성 -지속가능한 교통과 학업 환경-)

  • Ji Won Kim;Yujeong Jin;Yun-Hee Choi;Habyeong Kang;Hyunsoo Kim;Wonhee Jo;Seongeun Choi;Wonho Choi;Yoon-Hyeong Choi
    • Journal of Environmental Health Sciences
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    • v.50 no.2
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    • pp.157-167
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    • 2024
  • Background: Several previous studies have shown that commuting is a source of stress for undergraduate students. However, few studies have investigated the effect of commuting on academic stress among undergraduate students, and there has been little awareness of the environmental impact of commuting. Objectives: To evaluate the associations between commute type and/or time and academic stress among undergraduate students in South Korea, focusing on environmental sustainability. Methods: We conducted an online survey and obtained information on commute types, commute times, and academic stress from 510 undergraduate students aged ≥19 years. Academic stress was comprised of five sub-categories of stress, and total academic stress ranged from 5 to 25 points. Multiple linear regression analysis was used to analyze the associations between commute type and commute time and academic stress. Furthermore, the students were grouped into 21 categories based on their transportation mode for commuting. CO2 emission factors per each commuting category were calculated using the transportation type's CO2 emission data from previous studies. Spearman's correlation analysis was used to confirm the correlation between CO2 emission factors and total academic stress. Results: Students using home-to-school transportation without transfers (vs. walking) showed a significantly higher total academic stress of 2.19 points (95% CI: 0.58, 3.80). In contrast, students using school-to-home transportation without transfers (vs. walking) showed a significantly lower total academic stress of 1.96 points (95% CI: -3.55, -0.38). Moreover, students using transportation with lower CO2 emission factors had lower academic stress scores (home-to-school: correlation coefficient = 0.507, p<0.001; school-to-home: correlation coefficient = 0.491, p<0.001). Conclusions: Our findings suggest that both commute type and time are significantly associated with academic stress among South Korean undergraduate students. When students select environmentally-friendly transportation, they may not only improve their mental health but also improve climate resilience.

PM2.5 Simulations for the Seoul Metropolitan Area: (II) Estimation of Self-Contributions and Emission-to-PM2.5 Conversion Rates for Each Source Category (수도권 초미세먼지 농도모사 : (II) 오염원별, 배출물질별 자체 기여도 및 전환율 산정)

  • Kim, Soontae;Bae, Changhan;Yoo, Chul;Kim, Byeong-Uk;Kim, Hyun Cheol;Moon, Nankyoung
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.4
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    • pp.377-392
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    • 2017
  • A set of BFM (Brute Force Method) simulations with the CMAQ (Community Multiscale Air Quality) model were conducted in order to estimate self-contributions and conversion rates of PPM (Primary $PM_{2.5}$), $NO_x$, $SO_2$, $NH_3$, and VOC emissions to $PM_{2.5}$ concentrations over the SMA (Seoul Metropolitan Area). CAPSS (Clean Air Policy Support System) 2013 EI (emissions inventory) from the NIER (National Institute of Environmental Research) was used for the base and sensitivity simulations. SCCs (Source Classification Codes) in the EI were utilized to group the emissions into area, mobile, and point source categories. PPM and $PM_{2.5}$ precursor emissions from each source category were reduced by 50%. In turn, air quality was simulated with CMAQ during January, April, July, and October in 2014 for the BFM runs. In this study, seasonal variations of SMA $PM_{2.5}$ self-sensitivities to PPM, $SO_2$, and $NH_3$ emissions can be observed even when the seasonal emission rates are almost identical. For example, when the mobile PPM emissions from the SMA were 634 TPM (Tons Per Month) and 603 TPM in January and July, self-contributions of the emissions to monthly mean $PM_{2.5}$ were $2.7{\mu}g/m^3$ and $1.3{\mu}g/m^3$ for the months, respectively. Similarly, while $NH_3$ emissions from area sources were 4,169 TPM and 3,951 TPM in January and July, the self-contributions to monthly mean $PM_{2.5}$ for the months were $2.0{\mu}g/m^3$ and $4.4{\mu}g/m^3$, respectively. Meanwhile, emission-to-$PM_{2.5}$ conversion rates of precursors vary among source categories. For instance, the annual mean conversion rates of the SMA mobile, area, and point sources were 19.3, 10.8, and $6.6{\mu}g/m^3/10^6TPY$ for $SO_2$ emissions while those rates for PPM emissions were 268.6, 207.7, and 181.5 (${\mu}g/m^3/10^6TPY$), respectively, over the region. The results demonstrate that SMA $PM_{2.5}$ responses to the same amount of reduction in precursor emissions differ for source categories and in time (e.g. seasons), which is important when the cost-benefit analysis is conducted during air quality improvement planning. On the other hand, annual mean $PM_{2.5}$ sensitivities to the SMA $NO_x$ emissions remains still negative even after a 50% reduction in emission category which implies that more aggressive $NO_x$ reductions are required for the SMA to overcome '$NO_x$ disbenefit' under the base condition.

Viewpoints and Limits of Anthropocentrism and Ecocentrism to the Environmental Problem (인간중심주의와 생태중심주의의 환경문제에 대한 접근시각과 그 한계)

  • Lim, Hyung-Baek;Oh, Hae-Sub;Kim, Dae-Hee
    • Journal of Agricultural Extension & Community Development
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    • v.5 no.1
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    • pp.31-44
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    • 1998
  • An environmental problem is the important issue of mankind. It should be treated main discourse in our period. There are many assertions related to environment but they are not to be clearly classified because of miscellaneous paradigm. It is possible to classify into two category on the basis of human attitude toward nature and environmental problem. One of them is anthropocentrism and the other is ecocentrism. This classification is helpful to understand various environmental discourses. Owing to different paradigm approach, anthropocentrism and ecocentrism have different concept for environmental problem. Anthropocentrism is powerful to the real life in behalf of economic rationalism. But ecocentrism is important for the only settlement of environmental problem in ecocentric perspectives. Therefore a new scheme for environmental problem solving is necessary through combining the merits of anthropocentrism and ecocentrism.

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Children's Awareness of the Effects of Environmental Pollution (유아의 환경오염 영향에 대한 인식)

  • Choi, Kee Young;Woo, Soo Kyeong
    • Korean Journal of Child Studies
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    • v.20 no.1
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    • pp.15-27
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    • 1999
  • In this study, interviews were administered to 160 children (80 boys and 80 girls) of 8 kindergartens in urban and rural areas to investigate their awareness of the effects of environmental pollution. Instruments were picture cards and a questionnaire on environmental issues, based on the revised Korean version of Cohen and Horm-Wingerd's measurement. Children's responses were classified into either awareness or non-awareness of the effect of environmental pollution. Frequencies and percentages were calculated by sub-category and tested by sex and residence, using ${\chi}^2$. Major findings were that (1) 66.0% of the children were. aware of the effects of environmental pollution. (2) 78.1% were aware of the effects of water pollution while more than half the subjects were also aware of the effects of air pollution and soil pollution. (3) Children thought that natural conditions (52.0%), human bodies (30.9%), and the daily life of people (11.7%), would be affected by environmental pollution.

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Progressive Compression of 3D Mesh Geometry Using Sparse Approximations from Redundant Frame Dictionaries

  • Krivokuca, Maja;Abdulla, Waleed Habib;Wunsche, Burkhard Claus
    • ETRI Journal
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    • v.39 no.1
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    • pp.1-12
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    • 2017
  • In this paper, we present a new approach for the progressive compression of three-dimensional (3D) mesh geometry using redundant frame dictionaries and sparse approximation techniques. We construct the proposed frames from redundant linear combinations of the eigenvectors of a combinatorial mesh Laplacian matrix. We achieve a sparse synthesis of the mesh geometry by selecting atoms from a frame using matching pursuit. Experimental results show that the resulting rate-distortion performance compares favorably with other progressive mesh compression algorithms in the same category, even when a very simple, sub-optimal encoding strategy is used for the transmitted data. The proposed frames also have the desirable property of being able to be applied directly to a manifold mesh having arbitrary topology and connectivity types; thus, no initial remeshing is required and the original mesh connectivity is preserved.