• Korean Journal of Ecology and Environment
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• v.46 no.2
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• pp.241-250
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• 2013

Developmental process of vegetation over years after afforestation was analyzed in the Japanese larch (Larix kaempferi) plantations with different stand ages. The height and diameter of Japanese larch increased rapidly until 24 years after afforestation and tended to be blunted thereafter. The density of Japanese larch was similar with each other in the 8 and 17 years old stands but was reduced greatly in the 24 years old plantation and changing little thereafter. The floristic composition of the Japanese larch plantation did not show any clear trend depending on stand ages. The differences of species composition among plantation themselves with different ages were bigger than those between plantations and the reference stands, Mongolian oak (Quercus mongolica) stands. Japanese larch plantations showed a trend of succession to native vegetation dominated by Mongolian oak based on the results of analysis of frequency distribution by diameter class of major tree species. Species richness and diversity of all plantations were higher than those of the reference vegetation. As were shown in the above mentioned results, it can be evaluated that Japanese larch plantations practiced in the level of the functional restoration achieved successful restoration based on the floristic composition similar to the reference vegetation, the successional trend toward native vegetation, and higher species diversity compared with the reference vegetation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.2
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• pp.157-164
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• 2009

The metals such as Al, Ag, Au, Cu, Cd, Co, Fe, Ni, Pb, Zn, etc are present at very low concentration in seawater and are classified as so-called trace metals. Whiles some of them are used in metabolism of living organism as a micronutrient, they may show toxic effects on organisms in case of a limited threshold concentration of them Plenty of studies on trace metals have been performed bemuse trace metals have a persistent influence and an adverse effect on marine environment and ecosystem. For long years, when the concentration of trace metals in natural waters such as seawater and fresh water are measured with high precision and accuracy, some systematic errors have been recognized to be present in measurements. Since 1975 in US and European countries, the measured concentration of trace metals in seawater have been found to be lower by factors of 10-1,000 than the previous data of trace metals measurements and the vertical profiles of the measurements have been shown to reflect well-known biological, physical and geochemical processes. These results are attributed to great advances in analytical instrumentation and methodology for trace metals measurements. Precautions against the contamination of samples are required to be taken in the process of sampling, storage, and analysis of samples. However, in Korea, erroneous data of trace metals with regard to ocean and marine environment related survey and investigations are reported The lock of exact understanding and information regarding precautions in sampling, storage and analysis of samples lead to the deterioration of data quality, especially in the analysis of trace metals. The major procedures to obtain the accurate data of trace metals in natural waters are introduced for applying to the study and assessment of marine environments.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.111-121
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• 2018

Many problems in rotating machinery such as aircraft engines, wind turbines and motors are caused by bearing defects. The abnormalities of the bearing can be detected by analyzing signal data such as vibration or noise, proper pre-processing through a few signal processing techniques is required to analyze their frequencies. In this paper, we introduce the condition monitoring method for diagnosing the failure of the rotating machines by analyzing the vibration signal of the bearing. From the collected signal data, the normal states are trained, and then normal or abnormal state data are classified based on the trained normal state. For preprocessing, a Hamming window is applied to eliminate leakage generated in this process, and the cepstrum analysis is performed to obtain the original signal of the signal data, called the formant. From the vibration data of the IMS bearing dataset, we have extracted 6 statistic indicators using the cepstral coefficients and showed that the application of the Mahalanobis distance classifier can monitor the bearing status and detect the failure in advance.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.65-82
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• 2020

Start-ups often use crowdfunding platforms such as Wadiz to get financing from corporate investors and general public. These platforms include functions to increase participant activity through the number of comments, interest and online word-of-mouth. This study aims to elucidate how these functions related to a participant activity exhibit mediating effects on a success of crowdfunding and an achievement rate of targeted investment amount. To this end, the individual variables such as progress period, target amount, venture company, experience of attracting investment, possession of intellectual property rights, a career of the representative and an award experience of the representative were classified into the project characteristics, the company characteristics and the representative characteristics through not only previous studies but also interviews with investment professionals and platform operators. Afterwards, this study went through an empirical verification process using a structural equation model that has both crowdfunding performance and participant activity, which is the independent and mediating factors of three perspectives, as well as the dependent variables. In other words, this study analyzes how the characteristics of three perspectives affect the participant activity and how the participant activity had the mediating effects on the crowdfunding performance. In addition, it derives how the analysis results mentioned above vary according to business types (internet services, culture/art, manufacturing/distribution) and investment styles (stock type and bond type). It is expected that this study will help not only in deriving the factors affecting the performance of an investment type crowdfunding but also in preparing the measures to increase a participant activity.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.50-64
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• 2013

In clustered sensor networks, since a CH (Cluster Head) collects data from its members and delivers the collected data to the sink, it is very important to prevent compromised nodes from joining a CH election and manipulating and fabricating the election result. In order to protect CH elections from compromised nodes, unpredictability, non-manipulability, and agreement property should be guaranteed in CH elections. However, existing CH election schemes cannot prevent intelligent compromised nodes from skilfully violating those properties via their cooperation. In this paper, we propose a scheme which protects the CH election process by detecting intelligent compromised nodes and excluding them. For every CH election round, each member gives a direct trust value to other members according to their behavior. Then a real reputation value is given to each member by combining the direct trust value and indirect trust values provided by other members. Then, each node evaluates the real reputation values of members in its cluster and excludes some untrustable nodes from CH candidates. The scheme greatly improves the non-manipulability and agreement property of CH election results compared to other rival schemes. Furthermore, the scheme preserves the high non-manipulability and the high agreement property even in an environment where message losses can happen.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.5
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• pp.232-242
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• 2002

In a MPLS(Multiprotocol Label Switching) network, it is important to reduce the number of labels and LSP(Lable Switched Path)s for network resource management. MTP(Multipoint-to-Point) LSP can be used to solve this problem. In consideration of traffic engineering, MTP LSP must be chosen to enhance the availability of network and link utilization. Also, a fast mechanism to setup MTP LSPs is required for rerouting capability against link failure. In this paper, we propose a fast MTP LSP traffic engineering of multipath MTP LSP by using a mapping of a MTP LSP upon Diffserv PHBs(Per Hop Behavior) in a Diffserv-capable MPLS network. In the proposed traffic engineering, we determine multiple MTP LSPs in a hierarchical manner according to the characteristics of different services. By using Monte-Carlo method for traffic load balancing process, it provides fast rerouting capability in case of frequent link failure across large network. Out method produces to be nearly optimal within reasonable run-times. It's time complexity is in O( Cn$^2$logn) as conventional multipath routing and it is much faster than Linear Programming approach. Simulation results show that the proposed traffic engineering can be controlled effectively in an administrative manner and enhance the availability of network in comparison with conventional multipath routing.

• Journal of the Korean Chemical Society
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• v.61 no.2
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• pp.65-76
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• 2017

The goal of this study was to discover factors of difficulties on learning Brønsted-Lowry acid and base focusing viewpoint of each definition. To achieve this, we were targeting statement of textbooks and perception of teachers that have a decisive effect on students' learning. Analysis of textbooks was performed for chemistry I of high school and EBS(total 6 textbooks) which dealt with Brønsted-Lowry definition. And a survey was conducted on 24 science teachers who had Brønsted-Lowry definition teaching experience. According to the textbooks analysis, characteristics of statement way were (1) statement without viewpoint of each definition, (2) convergent statement to Arrhenius. And features of teachers' perceptions were (1) teachers who have the only one viewpoint, (2) teachers with unawareness on coexisting reason of various definitions. All of these can be explained by absence from understanding viewpoints of Arrhenius and Brønsted-Lowry. To promote students' Brønsted-Lowry learning, students should obtain viewpoints of each definition. So we suggest that pre-service teacher training curriculum and statement way of textbook should reflect viewpoints of each definition.

• Journal of dental hygiene science
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• v.17 no.4
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• pp.375-381
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• 2017

The study aimed to investigate the effects of differences between personal income and social deprivation on the association between cardio-cerebrovascular disease (hypertension, stroke) and periodontal disease. This study used 12 years of cohort data from the Korea National Health Insurance Service covering the years 2002 to 2013. Among the patients aged more than 40 years who had received treatment for periodontal disease 224,067 and 284,730 who had not received treatment for hypertension and stroke, respectively, were included in the analysis. The Kaplan-Meier analysis revealed differences in the rate of treatment for cardio-cerebrovascular disease (hypertension, stroke) according to regional differences, the rate of treatment increased as the composite deprivation index value increased. The difference in treatment rates for cardio-cerebrovascular disease (hypertension, stroke) according to income was found to be higher in the treatment group with low income. This study empirically proved that the association between systemic disease and periodontal disease varies depending on personal income and the regional socioeconomic deprivation level. This shows that the clinical influence of periodontal illness on systemic disease differs according to the personal socio-demographic characteristic and residential area and that an individual's characteristic (income and the regional) needs to be considered along with the patient's clinical intervention in the disease treatment process.

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.5
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• pp.65-71
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• 2008

Recently, the research is progressing on the SWE(Sensor Web Enablement) platform of OGC(Open Geospatial Consortium) to provide the sensing data and moving pictures collected in a sensor network through the Internet Web. However, existed research does not deal with moving objects like cars, trains, ships, and person. Therefore, we present a method to deal with integrated sensing data collected by GPS device, sensor network, and image devices. Also, this paper proposes an integrated processing method for image and sensing data based on location in mobile sensor networks. Additionally, according to proposed methods, we design and implement the combine adapter. This combine adapter receives a contexts data, and provides the common interface included parsing, queueing, creating unified message function. We verity the proposed method which deal with the integrated sensing data based on combine adapter efficiently. Therefore, the research is expected to help the development of a various context information service based on location in future.