• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.27-30
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• 2012

In the Cluster-Based Routing Protocol (CBRP) a cluster header in each cluster should be elected. The cluster headers consume energy much more than other nodes because they manage and operate all of mobile nodes in their cluster. The traditional CBRP elects a cluster header without considering the remaining electric energy of each node. So, there exists problems that the cluster header has short average lifetime, and another cluster header should be elected again frequently. In this paper, we propose the improved protocol which prolongs the lifetime of the cluster header, decreases of header re-elected problem, decreases of header re-elected problem and enhances the stability of the path. In order to achieve this, when a cluster header is elected in a cluster, the remaining electric energies of all the nodes are compared with one another, and the node with the highest energy is elected as the cluster header. Also, the node with the second highest energy is elected as the second header. If the elected cluster header is unable to perform the role of the cluster header because the remaining energy level goes low, it sends a beacon message to neighbor member nodes and the second header will serve as the cluster header.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.581-589
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• 2021

With the recent increase in the introduction of micro-electric vehicles in Korea, interest in micro-electric vehicle user satisfaction is increasing to revitalize related markets. In this paper, a basic study was conducted on the development of public services using micro-electric vehicle based on the constituent factors of user satisfaction. The survey includes: ① 'Analytic Hierarchy Process (AHP) for selecting the priority factors of user satisfaction of micro-electric vehicles', ② 'A survey of micro-electric vehicles image' to collect data in advance for providing users' preferences and transportation services for micro-electric vehicles, ③ In order to investigate the user satisfaction level of users who actually operated micro-electric vehicles, the order of 'user satisfaction survey of micro-electric vehicle drivers' was conducted. In the Analytic Hierarchy Process (AHP) analysis, it was found that users regarded as important in the order of 'user utilization data', 'vehicle movement data', and 'charging service data'. In the micro-electric vehicle image survey, users perceived micro-electric vehicles more positively in terms of "safety", 'durability', 'Ride comfort', 'design', 'MOOE (Maintenance and other operating expense)', and 'environment-friendly' when comparing micro-electric vehicles with electric motorcycles. In the survey on the user satisfaction of micro-electric vehicle drivers, the use of micro-electric vehicle did not directly affect work performance efficiency, and there was an experience of being disadvantaged on the road due to the size of the micro-electric vehicle, and driving in a cluster of micro-electric vehicle for outdoor advertisements. The city's public relations effect was great, but it was concerned about safety. In the future, based on the results of this study, we plan to build a user satisfaction structural equation model, preemptively discover feedback R&D for micro-electric vehicle utilization services in the public field, and actively seek to discover new public mobility support services.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.5
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• pp.379-387
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• 2006

The real world is spatially modelled conceptually either as discrete objects or earth surface. The generated data models are then usually represented as vector and raster respectively. Although there are limited cases where only one data model is sufficient to solve the spatial problem at hand, it is now generally accepted that GIS should be able to handle various types of data model. Recent advances in spatial technology introduced even more variety of heterogeneous data models and the need is ever growing to handle and manage efficiently these large variety of spatial data. The OGC (Open GIS Consortium), an international organization pursuing standardization in the geospatial industry. recently introduced the GMLJP2 (Geographic Mark-Up Language JP2) format which enables store and handle heterogeneous spatial data. The GMLJP2 format, which is based on the JP2 format which is an abbreviation for JPEG2000 wavelet image compression format, takes advantage of the versatility of the GML capabilities to add extra data on top of the compressed image. This study takes a close look into the GMLJP2 format to analyse and exploit its potential to handle and mange hetergeneous spatial data. Aerial image, digital map and LIDAR data were successfully transformed end archived into a single GMLJP2 file. A simple viewing program was made to view the heterogeneous spatial data from this single file.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.612-616
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• 2007

오랫동안 홍수조절, 용수공급, 전력생산, 레저 활동을 위해 건설된 댐들은 하천이나 호소의 생태적 기능보다는 치수 및 이수기능이 중요시되면서 운영 관리되어 왔다. 하지만 최근 들어 선진국을 중심으로 환경 및 생태의 중요성이 인식되면서 하천생태계 보호를 위한 환경유량 산정이 언급되고 있는데 이는 하천이 동 식물의 서식처로서 적절한 수질뿐만 아니라 수심, 유속, 하상재료, 먹이원, 어류를 보호할 수 있는 휴식 및 은신처 등의 다양한 조건을 제공할 수 있어야 한다고 제시되고 있다. 이들 조건 중 유량(Flow)은 하천에서 생물집단을 구성하는데 있어 물리적 서식조건의 주요한 결정인자로 작용하는데, 댐 하류하천의 자연유량(natural flow)을 변화시키면 생태학적 측면에서 기대치 않던 영향을 야기할 수 있다. 따라서 댐 건설 전 후의 자연유량과 조절유량 사이에서 생태학적 어류조사연구를 통한 차이점을 찾는 것은 매우 중요하다고 볼 수 있다. 본 연구의 최종목적은 수계 내 댐 건설 전 후의 어류군집과 유량 등 수리조건과의 연관성을 분석하여 하천구간별로 어류생태에 적합한 유량을 산정하는 것이다. 조사대상 구간은 금강본류를 대상으로 하되 용담댐과 대청댐을 중심으로 하여 10개 구간을 선정하였고. 과거로부터 2000년도까지와 용담댐 건설후인 $2002{\sim}2004$년도에 조사된 어류생태자료를 활용하였다. 용담댐 상류로부터 대청댐 하류에 이르기까지 전 구간을 대상으로 조사된 자료를 분석한 결과 총 20과 82종이 출현하였고, 이중 종 45종(54.9%)이 잉어과에 해당하며 미꾸리과(6종), 동자개과(4종), 망둑어과(5종)를 제외한 대다수의 분류군(Family)들은 단일 또는 2종으로만 구성되었다. 이들 중 천연기념물 제 259호로 지정되어 법적으로 보호되고 있는 어름치(금강에서 서식한 어름치를 따로 천연기념물 238호로 지정함)를 비롯하여 다묵장어를 포함한 7종의 멸종위기종이 확인되었다. 또한 각시붕어 등 총 29종(39.4%)의 높은 한국고유종 출현과 6종의 외래도입종도 확인되었다. 금강의 중 상류에 해당하는 구역을 포함하는 대청댐 상 하류 구간에서 대청댐 건설 전(1980년 이전)을 포함하는 2000년 이전 조사 자료가 가장 다양한 어류상과 특이어종(멸종위기종 및 한국고유종)을 보였고, 최근자료$(2002{\sim}2004)$를 살펴볼 때 용담댐 상 하류에서보다 대청댐 상 하류에서 멸종위기종(7종$\rightarrow$1종) 및 한국고유종(28종$\rightarrow$16종)의 출현감소와 외래도입종의 출현증가(1종$\rightarrow$6종)와 같은 주요한 어류군집 변화를 보였다. 이는 댐 건설에 따라 주로 계류성 어종을 중심으로 정수역 구간에서 인근 지류로 이동하게 되고 일부는 제한된 서식공간과 하천교란으로 인해 개체군이 극감하거나 일부 소멸된 종이 발생하였을 것으로 사료된다. 실측 유량자료 분석에 의하면 홍수기 최대유량 변화는 크지 않으나, 갈수기 최소유량은 크게 증가한 것을 알 수 있었고, 대다수 어류의 산란기인 봄철(5월, 6월) 최소유량은 증가하였으나, 최대유량은 감소한 것으로 분석되었다. 이러한 변화는 어류생태계에 긍정적인 면과 부정적인 면이 있으며, 향후 이러한 영향을 분석하기 위해 선택어종(Target species)별 생태환경 서식조건을 확인할 수 있는 조사기법 및 자료구축이 절실히 필요한 실정이다.

• Journal of Bio-Environment Control
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• v.29 no.3
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• pp.277-284
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• 2020

To increase the utilization of the intelligent methodology of smart farm management, estimation modeling techniques are required to assess prior examination of crops and environment changes in realtime. A mandatory environmental factor such as CO₂ is challenging to establish a reliable estimation model in time domain accounted for indoor agricultural facilities where various correlated variables are highly coupled. Thus, this study was conducted to develop an artificial neural network for reducing time complexity by using environmental information distributed in adjacent areas from a time perspective as input and output variables as CO₂. The environmental factors in the smart farm were continuously measured using measuring devices that integrated sensors through experiments. Modeling 1 predicted by the mean data of the experiment period and modeling 2 predicted by the day-to-day data were constructed to predict the correlation of CO₂. Modeling 2 predicted by the previous day's data learning performed better than Modeling 1 predicted by the 60-day average value. Until 30 days, most of them showed a coefficient of determination between 0.70 and 0.88, and Model 2 was about 0.05 higher. However, after 30 days, the modeling coefficients of both models showed low values below 0.50. According to the modeling approach, comparing and analyzing the values of the determinants showed that data from adjacent time zones were relatively high performance at points requiring prediction rather than a fixed neural network model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.295-302
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• 2011

Ubiquitous is an information communication environment which peoples could connect on network without being conscious of the network and computer condition at anytime and anywhere. Presently, advanced technology, digital cities and eco-friendly cities using Ubiquitous technology are being focused through out the world. As recent information industry and communication technology have developed remarkably, studies on intelligent structures and structural maintenance methods by combining a general idea of connecting all objects on network by interpolating computers which is called Ubiquitous Computing, and USN(Ubiquitous Sensor Network) are being attempted. In this paper, a basic experiment on penetration of RF(Radio Frequency) sensor nodes using an experimental sample setting concrete and reinforcing bar as variables is studied to estimate the possibility of applying wireless sensor networks in structures. The spring of reinforcing bars, concrete thickness, intensity of radio frequency were set up as variables, transmitting and receiving distance were checked vertically and horizontally. Moreover, Spectrum Analyzer was used for checking the magnitude of the frequency used in order to measure the reduction of radio wave exactly. The radio wave reduction was numerically analyzed, and the influence of the wavelength was analysed as well. As a result, the penetration depth in concrete without reinforcing bars was 45cm, and in reinforced concretes which reinforcing bars placed at spacing of 5cm and 15cm, the penetration depth were 37cm and 45cm each. No influence on radio wave penetration depth were found when the spacing of reinforcing bars in the reinforced concrete structures becomes over 15cm.

• Journal of the Korean Geographical Society
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• v.52 no.1
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• pp.123-141
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• 2017

This study predicted urban green spaces for 2020 based on two scenarios keeping or freeing the green-belt in the Daegu metropolitan city using a hybrid Cellular Automata(CA)-Markov model and analyzed the spatial dynamics of urban green spaces between 2009 and 2020 using a land cover change detection technique and spatial metrics. Markov chain analysis was employed to derive the transition probability for projecting land cover change into the future for 2020 based on two land cover maps in 1998 and 2009 provided by the Ministry of Environment. Multi-criteria evaluation(MCE) was adopted to develop seven suitability maps which were empirically derived in relation to the six restriction factors underlying the land cover change between the years 1998 and 2009. A hybrid CA-Markov model was then implemented to predict the land cover change over an 11 year period to 2020 based on two scenarios keeping or freeing the green-belt. The projected land cover for 2009 was cross-validated with the actual land cover in 2009 using Kappa statistics. Results show that urban green spaces will be remarkably fragmented in the suburban areas such as Dalseong-gun, Seongseo, Ansim and Chilgok in the year 2020 if the Daegu metropolitan city keeps its urbanization at current pace and in case of keeping the green-belt. In case of freeing the green-belt, urban green spaces will be fragmented on the fringes of the green-belt. It is thus required to monitor urban green spaces systematically considering the spatial change patterns identified by this study for sustainably managing them in the Daegu metropolitan city in the near future.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.3
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• pp.247-262
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• 2022

In domestic tunnels, it is mandatory to install CCTVs in tunnels longer than 200 m which are also recommended by installation of a CCTV-based automatic accident detection system. In general, the CCTVs in the tunnel are installed at a low height as well as near by the moving vehicles due to the spatial limitation of tunnel structure, so a severe perspective effect takes place in the distance of installed CCTV and moving vehicles. Because of this effect, conventional CCTV-based accident detection systems in tunnel are known in general to be very hard to achieve the performance in detection of unexpected accidents such as stop or reversely moving vehicles, person on the road and fires, especially far from 100 m. Therefore, in this study, the region of interest is set up and a new concept of inverse perspective transformation technique is introduced. Since moving vehicles in the transformed image is enlarged proportionally to the distance from CCTV, it is possible to achieve consistency in object detection and identification of actual speed of moving vehicles in distance. To show this aspect, two datasets in the same conditions are composed with the original and the transformed images of CCTV in tunnel, respectively. A comparison of variation of appearance speed and size of moving vehicles in distance are made. Then, the performances of the object detection in distance are compared with respect to the both trained deep-learning models. As a result, the model case with the transformed images are able to achieve consistent performance in object and accident detections in distance even by 200 m.

• Journal of the Korean association of regional geographers
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• v.9 no.4
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• pp.519-533
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• 2003

The U.S. Conservation Reserve Program (CRP) resulted in the conversion of approximately 14.8 million ha(36.5 million acres) of cropland to grassland, woodland, and other conservation uses throughout the U.S. between 1986 and 1992. One of the major results of CRP has been the addition of millions of hectares of potential wildlife habitat. primarily as grassland. In this study, we examined regional changes in landscape structure caused by the introduction of CRP. Utilizing multi-seasonal Landsat Thematic Mapper imagery, we produced maps of cropland and grassland for the pre- and post- CRP enrollment periods for a six-county region in southwest Kansas. We then applied post-classification differencing to identify regions of cropland that had been converted to CRP. Using the FRAGSTATS spatial pattern analysis program, we calculated a variety of spatial statistics to analyze changes in landscape structure due to CRP. The major impact of CRP in the six-county study area has been the reversal of an overall trend of grassland habitat fragmentation. From the standpoint of potential wildlife habitat, the introduction of CRP has greatly increased the number of patches, mean patch size, and the interior or core area of grassland patches. In addition, CRP has increased connectivity and aggregation between grassland patches, potentially important factors for species of conservation interest, particularly those that require larger expanses of unbroken habitat. Finally, the distance between neighboring patches of grassland has decreased, reducing travel distance between patches. Clearly, the introduction of CRP has substantially modified the spatial structure of the southwest Kansas landscape, with important implications for wildlife habitat.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.190-203
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• 2016

Based on the premise that a systematic career process was one of the essential elements of successful task performance both for individuals and the organization in the field of social welfare, this study set out to empirically analyze factors influencing the career commitment of social workers at a multidimensional level and provide practical implications for the directionality of career management on the basis of data with theoretical and statistical accuracy. For those purposes, the study collected individual and organizational characteristics data from 787 social workers at 46 agencies through a structured questionnaire and analyzed influential factors through the multilevel analysis technique by taking organizational effects into account. The analysis results show that explanations by the organization characteristics recorded significant 15% in the total variance of career commitment and that its influential factors included such significant variables as the protean career attitude, desire for growth, human network, and self-efficacy at the individual level and also the qualification compensation system at the organizational level. The study then proposed and discussed integrated practice strategies between individuals and agencies as the measures to promote career success through the activation of individual factors based on the consideration of organizational effects such as the application of an employee assistant program, provision of incentives to professional career development, and shift to a learning organization.