This study was conducted to classify forest vegetation structure and stand feature of Mt. Deogyusan National Park from Hyangjeukbong to Jungbong, 48 plots were surveyed. The type classification of the vegetation structure was performed with Z-M phytosociological method. As a result, Quercus mongolica community group was classified into the Picea jezoensis community, Carpinus cordata community and Tilia amurensis community in community unit. P. jezoensis community was subdivided into Deutzia glabrata group and Viburnum opulus var. calvescens group in group unit. D. glabrata group was subdivided into Acer mandshuricum subgroup and Ribes mandshuricum subgroup and V. opulus var. calvescens group was subdivided into Hemerocallis dumortieri subgroup and Prunus padus subgroup in subgroup unit. In the result of estimating the importance value, it constituted Q. mongolica (23.9%), Abies koreana (14.7%), Taxus cuspidata (10.2%), P. jezoensis (8.2%) and Betula ermanii (7.4%) in tree layer. It constituted Acer komarovii (18.6%), Acer pseudosieboldianum (18.4%) and Q. mongolica (8.9%) in subtree layer. It constituted Rhododendron schlippenbachii (20.7%), A. pseudosieboldianum (17.4%) and Symplocos chinensis (8.5%) in shrub layer. Indicator species analysis of vegetation unit 1 was consisted of Hydrangea serrata, Fraxinus mandshurica and D. glabrata that species prefer moist valley in subalpine or rocks. In the results of analyzing the species diversity, vegetation unit 1, 4 and 5 represented that there were different and complex local distributions. As in the similarity between the vegetation units, the vegetation units 1, 2, 3 and 4 represented high with 0.5 or above. It represented that there wasn't no differences on composition species in vegetation units.
International Journal of Precision Engineering and Manufacturing
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v.3
no.1
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pp.33-42
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2002
Recently, various experiments to apply reinforcement learning method to the self-learning intelligent control of continuous dynamic system have been reported in the machine learning related research community. The reports have produced mixed results of some successes and some failures, and show that the success of reinforcement learning method in application to the intelligent control of continuous control systems depends on the ability to combine proper function approximation method with temporal difference methods such as Q-learning and value iteration. One of the difficulties in using function approximation method in connection with temporal difference method is the absence of guarantee for the convergence of the algorithm. This paper provides a proof of convergence of a particular function approximation method based on \"barycentric interpolator\" which is known to be computationally more efficient than multilinear interpolation .
This study was carried out to investigate actual vegetation, the structure of plant community, and ecological succession sere of coastal forest ecosystem in warm temperate climate zone, Taejongdae, Busan City, Korea to provide the basic data for planning of the forest management. As a result of analysis of actual vegetation, vegetation types divided into 35 types, and the area of survey site was $1,750,461m^2$. The ratio of vegetation type dominated by Pinus thunbergii was 80.7%, dominated by Quercus spp. was just 5.0%, and dominated by Carpinus tschonoskii was just 0.4%. Eighteen plots(size is $20m{\times}20m$) were set up and the results analyzed by DCA which is one of the ordination technique showed that the plant communities were divided into four groups which are community I(P. thunbergii community), community II(P. thunbergii-Quercus serrata community), community III(Q. serrata-P. thunbergii community), and community IV(Carpinus tschonoskii-P. thunbergii community). The age of community I was from 38 to 59 years old, that of community II was from 35 to 71 years old, that of community III was from 37 to 53 years old, that of community IV was from 50 to 72 years old, thus we supposed that the age of the study site is about from 38 to 72 years old. We supposed that the successional sere of the study site is in the early stage of ecological succession in the warm temperate climate zone. The dominant species will be changed from P. thunbergii to Q. serrata or Carpinus tschonoskii in the canopy layer, on the other hand, Eurya japonica will be dominant species in the understory layer, and E. japonica and Trachelospermum asiaticum var. intermediumwill be dominant species in the shrub layer for a while. According to the index of Shnnon's diversity(unit: $400m^2$), community I ranged from 0.8640 to 1.3986, community II was from 0.1731 to 1.1885, community III was from 0.8250 to 1.0042, and community IV was from 0.3436 to 0.6986.
Bhattacharyya, Dipto;Duta, Swarnalee;Yu, Sang-Mi;Jeong, Sang Chul;Lee, Yong Hoon
The Plant Pathology Journal
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v.34
no.4
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pp.286-296
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2018
Maintenance of a beneficial microbial community, especially in the rhizosphere, is indispensable for plant growth and agricultural sustainability. In this sense, plant growth-promoting rhizobacteria (PGPR) have been extensively studied for their role in plant growth promotion and disease resistance. However, the impact of introducing PGPR strains into rhizosphere microbial communities is still underexplored. We previously found that the Proteus vulgaris JBLS202 strain (JBLS202) promoted growth of Kimchi cabbage and altered the relative abundance of total bacteria and Pseudomonas spp. in the treated rhizosphere. To extend these findings, we used pyrosequencing to analyze the changes in bacterial communities in the rhizosphere of Kimchi cabbage after introduction of JBLS202. The alterations were also evaluated by taxon-specific realtime PCR (qPCR). The pyrosequencing data revealed an increase in total bacteria abundance, including specific groups such as Proteobacteria, Acidobacteria, and Actinobacteria, in the treated rhizosphere. Time-course qPCR analysis confirmed the increase in the abundance of Acidobacteria, Actinobacteria, Alphaproteobacteria, and Betaproteobacteria. Furthermore, genes involved in nitrogen cycling were upregulated by JBLS202 treatment indicating changes in ecological function of the rhizosphere soil. Overall, these results indicate that introduction of JBLS202 alters both the composition and function of the rhizosphere bacterial community, which can have direct and indirect effects on plant growth. Therefore, we propose that long-term changes in bacterial composition and community-level function need to be considered for practical use of PGPRs.
Journal of the Korean Society for information Management
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v.36
no.4
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pp.161-181
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2019
People begin to recognize sexual orientation or gender identity in adolescence, and adolescents frequently use an accessible and anonymous anonymity knowledge retrieval community to explore sensitive health information about gender. This study attempted to observe their information search behavior based on questions and answers about adolescents' gender identity in the knowledge retrieval community. First, we wanted to examine their information needs and to investigate what factors they preferred to answer by comparing the characteristics of the answers adopted with the non-adopted answers among the answers provided in the questions they shared. To this end, Naver, Korea's representative knowledge search community. In Knowledge-iN, a total of 358 sets of data were analyzed, consisting of responses adopted over three years from January 2016 to December 2018. As a result, adolescents with concerns about gender identity demanded information about definition or confusion about gender identity. In the responses adopted by the users, the factors that gave empathy and positive feelings were higher than those that were not adopted, whereas the negative responses were higher in the unaccepted answers. This study is meaningful in that it analyzes the information needs and information search behaviors of adolescents with no established gender identity, expands the discussion in the information search field, and confirms cognitive and emotional models for information evaluation of health information users. Also, based on the research results, we propose practical implications for effective information services on gender identity that social media should provide to young people.
The Natural Monument Forest (NMF) is a form of natural and cultural heritage that has symbolized the harmony between nature and culture in Korea for a long time. Recently, the NMF has deteriorated due to industrialization and reckless city expansion. Given this situation, it is necessary to preserve and manage the ecosystem of the NMF through preferential research regarding the forest community structure. Accordingly, this study sought to identify the community structure by analyzing the vegetation classification, stratum structure,and species diversity using vegetation data collected from the Forest of Japanese Torreyas in Pyeongdae-ri, Jeju and the Subtropical Forest of Nabeup-ri, Jeju. The results classified the forest vegetation as a Litsea japonica community group divided into two communities: a Torreya nuciferacommunity and a Quercus glauca community. The T. nuciferacommunity was subdivided into the Idesia polycarpa group and Dryopteris erythrosora group, while the Q. glauca community was subdivided into the Mercurialis leiocarpa group and Arachniodes aristata group. The T. nucifera species showed the highest level of importance in vegetation units 1 (Litsea japonicacommunity group-Torreya nucifera community-Idesia polycarpa group) and 2 (Litsea japonica community group-Torreya nucifera community-Dryopteris erythrosora group), whereas Q. glauca showed the highest level of importance in vegetation units 3 (Litsea japonica community group-Quercus glauca community-Mercurialis leiocarpa group) and 4 (Litsea japonica community group-Quercus glauca community-Arachniodes aristata group). In terms of the species diversity, vegetation units 1, 2, 3, and 4 had 2.866, 2.716, 2.222, and 2.326 species, respectively. These findings suggest that it is necessary to prepare a differentiated management plan for each vegetation unit.
In this, analyzing the type of subjectivity in which people would have about home visit nursing services originating from public health care centers. I tried to research more effective ways to improve home visit nursing care services. and later. for the development of home visit nursing care. to supply basic data. The method for this study was the Q-method. created by William Stephenson. and was adequate for the study of subjectivity. For this study. through the deep interview. literature inquiry, and the discussion course. 206 Q-statement sentences were abstracted. and based on them, after Q-sample-selection. I then collected the Q-categorized-result from 32 subjects from Mar. 10. 2000 to Mar. 25. 2000. Through the statistic a analysis of PC-Qunal program. the subjectivity species were categorized and analyzed. The study results show that there are 3 sorts of recognition types. and they are analyzed in the following; The first type: the positively receiving type shows that they feel thankful and a trusting feeling about home visit nursing. The second type: the negatively mistrusting type shows that they had doubtful attitudes about the specialty of home visit nursing: they wanted medicine or nutrition remedies rather than health education and concerning the their own health care, they prefered the hospitals or clinics. The third type: the conditional receiving type shows that even though they had a positive receiving attitude about home visit nursing wanting to consult with the home visit nurses about the difficult problem which could not easily be settled, hoping that the home visit nurses could visit them more often, in their actual lives. they strongly indicated their attitudes concerning money as more important than home visits. The subjects in these 3 types commonly had a good feeling about the kindness of the home visit nurses: the first and third types also had a positive recognition about home visit nursing; however. in aspects of the evaluation and receiving attitudes, they showed a big difference. When all the above results are integrated. in the case of the first type the home visit nursing service, which satisfied the demand for health care of the medically weak people. should be continuously supplied. Additionally in case of the second type (negatively mistrust). continuous education and support should be supplied with enough interest to lead their concerns about their own health care as well as lead medical spending in a productive and effective direction in order to change their impressions. Through this study. I learned that the recognition of the objectives of home visit nursing services can be categorized in to 3 types and could be analyzed. Thus I wish that this study helps to present basic data which contributes to the development of the home visit nursing field.
Site characteristics, vegetation structure and dynamics of Kalopanax septemlobus forests in Mt. Heungjeong, Mt. Balwang and Mt. Gariwang were studied to provide the information need for national resources conservation and restoration of K. septemlobus forest in Gangwon-do of Korea. The K. septemlobus forests were distributed at 780m to 1,300m in altitude, steep slope, ridges-slope areas with facing northeast to northwest in good nutrition area. The annual diameter growth of those trees ranged 1.60mm to 2.41mm. Forty-three plots(20$\times$20m) were set up at three natural population of Kalopanax septemlobus forest and TWINSPAN method was used for vegetation structure analysis. The result of TWINSPAN ordination show that geographical features played a role in determining community types in the study areas. Community type of the study areas classified into three groups by TWINSPAN; K. septemlobus-Quercux mongolica- Acer mono community(Mt. Balwang), K. septemlobus-Q. mongolica- Tilia amurensis community(Mt. Heungjeong), K. septemlobus-Betula costata-Q. mongolica community(Mt. Gariwang). In most of the K. septemlobus forests, major woody species appeared predominantly were Q. mongolica, T. amurensis, Acer pseudo-sieboldianum, Lindera obtusiloba, A. mono, Magnolia sieboldii, Ulmus davidiana var. japonica. And also, Those species were surveyed in all the areas. Species diversity(H') of investigated areas ranged 0.3124~0.13992 and this value relatively higher than that of other forests with similar site. The range of similarity indices between surveyed areas was 64.1~64.54%. The distribution pattern of Morista's index show that Kalopanax septemlobus distributed randomly in tree and concentrated a few sample plots in subtree layer and shurb layer. K. septemlobus occupied 37.1~58.8% of tree layer story, 8.4~17.6% of subtree layer, 0~0.38% of shurb layer each surveyed area. The association analysis showed that Kalopanax septemlobus positively associated with Betula ermani, Deutzia glabrata, Carpinus cordata, Fraxinus mandshurica and negatively associated with Symplocos chinensis var. pilosa, Styrax obassia, Acer mono, Euonymus macroptera, Ulmus davidiana var. japonica. According to the diameter distribution of Kalopanax septemlobus community, the community of Mt. Gariwang will gradually decline and replaced by Quercus community. The communities of Mt. Heungjeong and Mt. Balwang has its seedlings and saplings, so it may be sustained.
Let X be a Banach space and $X^*$ be its dual. In this paper, we give relationships among some parameters in $X^*$: ${\varepsilon}$-nonsquareness parameter, $J({\varepsilon},X^*)$; ${\varepsilon}$-boundary parameter, $Q({\varepsilon},X^*)$; the modulus of smoothness, ${\rho}_{X^*}({\varepsilon})$; and ${\varepsilon}$-Pythagorean parameter, $E({\varepsilon},X^*)$, and weak orthogonality parameter, ${\omega}(X)$ in X that imply uniform norm structure in X. Some existing results are extended or approved.
We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.
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