• Environmental Engineering Research
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• 제14권2호
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• pp.111-119
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• 2009

A prototype GIS-based decision support system (DSS) was developed by using a database management system (DBMS), a model management system (MMS), a knowledge-based system (KBS), a graphical user interface (GUI), and a geographical information system (GIS). The method of selecting a dispersion model or a modeling scheme, originally devised by Park and Seok, was developed using our GIS-based DSS. The performances of candidate models or modeling schemes were evaluated by using a single index(statistical score) derived by applying fuzzy inference to statistical measures between the measured and predicted concentrations. The fumigation dispersion model performed better than the models such as industrial source complex short term model(ISCST) and atmospheric dispersion model system(ADMS) for the prediction of the ground level $SO_2$ (1 hr) concentration in a coastal area. However, its coincidence level between actual and calculated values was poor. The neural network models were found to improve the accuracy of predicted ground level $SO_2$ concentration significantly, compared to the fumigation models. The GIS-based DSS may serve as a useful tool for selecting the best prediction model, even for complex terrains.

• International Journal of Contents
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• 제15권4호
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• pp.59-64
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• 2019

In recent years, emotion recognition has been an interesting and challenging topic. Compared to facial expressions and speech modality, gesture-based emotion recognition has not received much attention with only a few efforts using traditional hand-crafted methods. These approaches require major computational costs and do not offer many opportunities for improvement as most of the science community is conducting their research based on the deep learning technique. In this paper, we propose an end-to-end deep learning approach for classifying emotions based on bodily gestures. In particular, the informative keyframes are first extracted from raw videos as input for the 3D-CNN deep network. The 3D-CNN exploits the short-term spatiotemporal information of gesture features from selected keyframes, and the convolutional LSTM networks learn the long-term feature from the features results of 3D-CNN. The experimental results on the FABO dataset exceed most of the traditional methods results and achieve state-of-the-art results for the deep learning-based technique for gesture-based emotion recognition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3635-3654
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• 2015

With the rapid development of smart devices and mobile Internet, the video application plays an increasingly important role on mobile devices. Understanding user behavior patterns is critical for optimized operation of mobile live streaming systems. On the other hand, volume based billing models on cloud services make it easier for video service providers to scale their services as well as to reduce the waste from oversized service capacities. In this paper, the watching behaviors of a commercial mobile live streaming system are studied in a content-centric manner. Our analysis captures the intrinsic correlation existing between popularity and watching intensity of programs due to the synchronized watching behaviors with program schedule. The watching pattern is further used to estimate traffic volume generated by the program, which is useful on data volume capacity reservation and billing strategy selection in cloud services. The traffic range of programs is estimated based on a naive popularity prediction. In cross validation, the traffic ranges of around 94% of programs are successfully estimated. In high popularity programs (>20000 viewers), the overestimated traffic is less than 15% of real happened traffic when using upper bound to estimate program traffic.

• 환경영향평가
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• 제18권5호
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• pp.301-312
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• 2009

Recently, habitat fragmentation and shrinkage has occurred because of increased road construction. As a measures mitigating the adverse effect such as eco-island by road construction, Korea has been installed eco-corridors since 1995. Using the Analytic Hierarchy Process (AHP), this study analyzed the importance of assessment items and the criteria to determine which areas require eco-corridors the most. First, related literature reviews, preliminary surveys, and expert interviews were carried out to develop assessment items and criteria for constructing the hierarchy. Second, experts were surveyed in order to determine the relative importance of the assessment items by applying the AHP. As a result, it found that the restoration of the ecological network was the most important assessment item, followed by wild animal resources in the Level 3. In the Level 4, the eighteen items were ranked in the order of their relative weight and it was found that the 'Baekdudaegan Mountain Range (0.189)' was the highest ranked item. Therefore, this approach can be applied to effective selection of the priority areas in planning eco-corridors in the national scale.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3121-3135
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• 2015

Owing to the increase in consumption of multimedia content and the improvement of device capacity, user demand for high-quality content has increased. However, it is difficult to transport such large amounts of content over the existing broadcasting network with limited bandwidth. To provide high-definition broadcasting, some studies suggest methods of transporting multimedia over heterogeneous networks after encoding content hierarchically. MPEG Media Transport (MMT), standardized by Moving Picture Experts Group (MPEG), is a solution that enables large-volume media transport over heterogeneous networks such as digital broadcasting networks and packet-switched networks. In the case of delivering a scalable encoded video over different networks, synchronization of each stream is an important issue. MMT defines a synchronization scheme, but does not contain sufficient functions to implement it. In this paper, we propose a synchronization scheme for media streams that are encoded hierarchically, divided into layers, and transported over heterogeneous networks. We implement our scheme using MMT and HTTP, and experimented using three encapsulated video streams with different durations. As a result, we show that the proposed scheme can reduce the waiting time to display high-quality video, relative to Dynamic Adaptive Streaming over HTTP-Scalable Video Coding (DASH-SVC) by requesting segments of enhanced layers after calculating the transmission time. Additionally, we find out that the selection of durations have a relation to the characteristics of the video.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권4호
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• pp.1106-1127
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• 2012

Service oriented architecture (SOA) lends itself to model the application components to coarse-grained services in such a way that the composition of different services could be feasible. Service composition fulfills numerous service requirements by constructing composite applications with various services. As it is the case in many real-world applications, different users have diverse QoS demands issuing for composite applications. In this paper, we present a service composition framework for a typical service overlay network (SON) considering both multiple QoS constraints and load balancing factors. Moreover, a service selection algorithm based on niching technique and particle swarm optimization (PSO) is proposed for the service composition problem. It supports optimization problems with multiple constraints and objective functions, whether linear or nonlinear. Simulation results show that the proposed algorithm results in an acceptable level of efficiency regarding the service composition objective under different circumstances.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.628-649
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• 2017

Security and resource-saving are both demands of the fifth generation (5G) wireless networks. In this paper, we study the secrecy spectrum efficiency (SSE) and secrecy energy efficiency (SEE) of a K-tier massive multiple-input multiple-output (MIMO) enabled heterogeneous cellular network (HetNet), in which artificial noise (AN) are employed for secrecy enhancement. Assuming (i) independent Poisson point process model for the locations of base stations (BSs) of each tier as well as that of eavesdroppers, (ii) zero-forcing precoding at the macrocell BSs (MBSs), and (iii) maximum average received power-based cell selection, the tractable lower bound expressions for SSE and SEE of massive MIMO enabled HetNets are derived. Then, the influences on secrecy oriented spectrum and energy efficiency performance caused by the power allocation for AN, transmit antenna number, number of users served by each MBS, and eavesdropper density are analyzed respectively. Moreover, the analysis accuracy is verified by Monte Carlo simulations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4418-4437
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• 2017

In this paper a three-phase secure compressive sensing (CS) and received signal strength (RSS) based target localization approach is proposed to mitigate the effect of malicious node attack. RSS measurements are first arranged into a group of subsets where the same measurement can be included in multiple subsets. Intermediate target position estimates are then produced using individual subsets of RSS measurements and the CS technique. From the intermediate position estimates, the residual error vector and residual error square vector are formed. The least median of residual error square is utilized to define a verifier parameter. The selected residual error vector is utilized along with a threshold to determine whether a node or measurement is under attack. The final target positions are estimated by using only the attack-free measurements and the CS technique. Further, theoretical analysis is performed for parameter selection and computational complexity evaluation. Extensive simulation studies are carried out to demonstrate the advantage of the proposed CS-based secure localization approach over the existing algorithms.

• 생태와환경
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• 제46권1호
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• pp.41-52
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• 2013

To decide on the designation of a tidal-flat Provincial Park, a study area was defined in line with domestic and international case studies of Provincial Parks. A survey on landscape, geology, biota, and cultural resources was conducted in four tidal-flat areas including Bigeum-myeon and Docho-myeon, which are part of the UNESCO Biosphere Reserve in Shinan, Jeollanam-do. To identify areas most suitable to be designated as Provincial Park, a PSR evaluation process was adopted. This has resulted in the selection of the 'Palgupo' area surrounding Bigeum, Docho, Haui, Shinui, Jaeun, Amtae, Palgeum, Anjwa and Jangsan. Also the tidal-flat areas at Aphae-myeon, which are ecologically linked with the Jeungdo Tidal-flat Provincial Park, were included. The selected areas resulting from this study will meet various characteristics of tidal-flat ecosystems including naturalness, ecological network, rarity and eco-cultural diversity. After the tidal-flat Provincial Park has been specified, there is a need to perform a long-term sustainable management plan.

• 한국문헌정보학회지
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• 제29권
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• pp.141-172
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• 1995

The main objective of this study is to analyse the information flows and representations which is shown at the displays of the user-OPACs interfaces in the 5 academic library automation systems. The findings made in the study are summarized as follows: 1) The interactive styles of that displays are based on the menu selection style. 2) The structures of information flow on that displays are the compound structure which is basically made of the network, the binary, and the pop-up structures. 3) The elements of the displays are consisted with the fields concerning the database name, the current working area, the indicator, the menu, the exit, the prompt and the system message. 4) The essential entries of the main menus are Book, Periodical. and Thesis. 5) The important languages of the command language styles are Search, Display, Print, Help, and End. 6) The elements of the display structures for the retrieval are the retrieving key, the Boolean operators, and the exit. 7) The major retrieving keys are Title, Author, Subject name, Call Number, and Publisher. 8) The marks of Boolean operators on the retrieval displays is different among the systems each other.