• The Journal of Industrial Distribution & Business
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• v.12 no.7
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• pp.27-39
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• 2021

Purpose: The researchers reviewed the previous studies on the psychological anxiety and economic damage during the recent COVID-19 pandemic to understand the satisfaction, awareness and attitude of the residents in Jeju, Korea. Research design, data and methodology: 215 samples based on self-reported survey were collected for path analysis focused on controlling variables in demographic characteristics in PLS-SEM using Smart PLS 3.0. Results: The researchers found the Satisfaction with COVID-19 Prevention Measures and the Awareness of Tourism Crisis affect Attitude toward Tourism of the residents with the explanatory power (R² = 0.209). Age was found to be the only significant controlling variable in this model for the Awareness of Tourism Crisis to Attitude toward Tourism. Conclusions: The attitude toward tourism is influenced by the level of satisfaction of the prevention service for COVID-19 as well as the awareness of the crisis. Residents have different level of the tourism crisis awareness by the status of their economic activities while there is no differences in all age groups for satisfaction in the quarantine service. The study suggests that the importance of the public health service should be preferentially concerned for residents to have stable economic activities where the tourism is the major industry.

• Journal of Bio-Environment Control
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• v.30 no.4
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• pp.278-286
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• 2021

In this study, based on the Computational Fluid Dynamics (CFD) simulation model developed through previous study, inner environmenct of the modified glass greenhouse was predicted. Also, suggested the optimal shape of the greenhouse and location of the heat exchangers for heat energy management of the greenhouse using the developed model. For efficient heating energy management, the glass greenhouse was modified by changing the cross-section design and the location of the heat exchanger. The optimal cross-section design was selected based on the cross-section design standard of Republic of Korea's glass greenhouse, and the Fan Coil Unit(FCU) and the radiating pipe were re-positioned based on "Standard of greenhouse environment design" to enhance energy saving efficiency. The simulation analysis was performed to predict the inner temperature distribution and heat transfer with the modified greenhouse structure using the developed inner environment prediction model. As a result of simulation, the mean temperature and uniformity of the modified greenhouse were 0.65℃, 0.75%p higher than those of the control greenhouse, respectively. Also, the maximum deviation decreased by an average of 0.25℃. And the mean age of air was 18 sec. lower than that of the control greenhouse. It was confirmed that efficient heating energy management was possible in the modified greenhouse, when considered the temperature uniformity and the ventilation performance.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.4
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• pp.23-32
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• 2021

For agricultural water management, it is essential to establish the digital infrastructure data such as agricultural watershed, irrigated area and canal network in rural areas. Approximately 70,000 irrigation facilities in agricultural watershed, including reservoirs, pumping and draining stations, weirs, and tube wells have been installed in South Korea to enable the efficient management of agricultural water. The total length of irrigation and drainage canal network, important components of agricultural water supply, is 184,000 km. Major problem faced by irrigation facilities management is that these facilities are spread over an irrigated area at a low density and are difficult to access. In addition, the management of irrigation facilities suffers from missing or errors of spatial information and acquisition of limited range of data through direct survey. Therefore, it is necessary to establish and redefine accurate identification of irrigated areas and canal network using up-to-date high resolution images. In this study, previous existing data such as RIMS (Rural Infrastructure Management System), smart farm map, and land cover map were used to redefine irrigated area and canal network based on appropriate image data using satellite imagery, aerial imagery, and drone imagery. The results of the building the digital infrastructure in rural areas are expected to be utilized for efficient water allocation and planning, such as identifying areas of water shortage and monitoring spatiotemporal distribution of water supply by irrigated areas and irrigation canal network.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.897-907
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• 2013

Since various smart devices are being developed, a growing number of people are reading eBooks instead of paper books. However, people started making eBooks on their own by scanning paper books because there are not enough eBooks provided from market. The term "Bookscan" was made with this reason. The number of bookscan company is increasing because the equipment is too expensive. However, the commercial activity of bookscan company is against copyright law. Also bookscan files are in danger of being illegally distributed on web, because bookscan companies are not protecting copyright. Publication market follows the same procedure with sound market which was collapsed due to copyright problem. Therefore, the technical methods should be prepared for law system against bookscan. The previous ICOP(Illegal Copyrights Obstruction Program) system has been applied to sound and movie files, but not applied to publication. This paper suggests the framework for bookscan file management based on practical mechanism.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.654-670
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• 2020

Workers at construction sites are easily exposed to many dangers and accidents involving falls, tripping, and missteps on stairs. However, researches on construction site monitoring system to prevent work-related injuries are still insufficient. The purpose of this study was to develop a wearable textile pressure insole sensor and examine its effectiveness in managing the real-time safety of construction workers. The sensor was designed based on the principles of parallel capacitance measurement using conductive textile and the monitoring system was developed by C# language. Three separate experiments were carried out for performance evaluation of the proposed sensor: (1) varying the distance between two capacitance plates to examine changes in capacitance charges, (2) repeatedly applying 1 N of pressure for 5,000 times to evaluate consistency, and (3) gradually increasing force by 1 N (from 1 N to 46 N) to test the linearity of the sensor value. Five subjects participated in our pilot test, which examined whether ascending and descending the stairs can be distinguished by our sensor and by weka assessment tool using k-NN algorithm. The 10-fold cross-validation method was used for analysis and the results of accuracy in identifying stair ascending and descending were 87.2% and 90.9%, respectively. By applying our sensor, the type of activity, weight-shifting patterns for balance control, and plantar pressure distribution for postural changes of the construction workers can be detected. The results of this study can be the basis for future sensor-based monitoring device development studies and fall prediction researches for construction workers.

• Journal of Agricultural Extension & Community Development
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• v.22 no.2
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• pp.159-173
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• 2015

The purpose of this study was to identify the conditions of neighborhood facilities for the elderly, paying special attention to the accelerated aging phenomenon in rural areas of Korea. We contrived a new index to measure spatial accessibility for people aged over 65 years, and we analyzed spatial accessibility by focusing on community facilities: public bath facilities, beauty shops, rural public facilities, markets, big stores, and large-scale retail shops. The most outstanding spatial accessibility among community facilities was found with the rural public facilities thanks to governmental installing adequate facilities in the past, followed by the beauty shops and the public bath facilities. In contrast, spatial accessibility of the markets was in the lowest. Spatial accessibility of community facilities for the elderly exhibited high variability among the rural areas. We confirmed significant inequality of spatial accessibility in all facilities we studied. The areas that had better spatial accessibility diverse combinations of the facilities. The areas that had worse spatial accessibility were, on the whole, consistent with traditional undeveloped regions. In the near future rational planning of facilities will be needed to supply adequate accessibility in targeted areas which currently had low accessibility. In order to improve the spatial accessibility of neighborhood facilities, the most essential factor is to take into account the geographical distribution patterns of rural settlements.

• Journal of Power Electronics
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• v.18 no.2
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• pp.482-491
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• 2018

The practical design methodology of a three-phase dual active bridge (3ph-DAB) converter applied to low voltage direct current (LVDC) applications is proposed by using a mathematical model based on the steady-state operation. An analysis of the small-signal model (SSM) is important for the design of a proper controller to improve the stability and dynamics of the converter. The proposed lead-lag controller for the 3ph-DAB converter is designed with a simplified SSM analysis including an equivalent series resistor (ESR) for the output capacitor. The proposed controller can compensate the effects of the ESR zero of the output capacitor in the control-to-output voltage transfer function that can cause high-frequency noises. In addition, the performance of the power converter can be improved by using a controller designed by a SSM analysis without additional cost. The accuracy of the simplified SSM including the ESR zero of the output capacitor is verified by simulation software (PSIM). The design methodology of the 3ph-DAB converter and the performance of the proposed controller are verified by experimental results obtained with a 5-kW prototype 3ph-DAB converter.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.139-153
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• 2020

Today, the proliferation of smart-phones and other mobile devices is bringing many changes to people's daily lives. Recently, the mobile shopping market has grown rapidly and has become a center of distribution. Furthermore, the consumer mobile fashion market is expected to expand and mobile fashion consumers' shopping tendencies will gradually become segmented. Differentiated marketing strategies for mobile fashion companies are to become essential. This study intends to understand the propensity of mobile fashion shopping and the importance of fashion app attributes, and their impact on mobile fashion shopping customer satisfaction and loyalty. The research aims to identify shopping trends and buying behaviors of mobile fashion consumers, find ways to increase mobile fashion shopping purchases, and help develop the mobile fashion market. The results of this study are summarized as follows. First, the compilation and the economics of the mobile fashion shopping propensity factors were shown to have a significant impact on product information, product reviews, and service quality, which are in turn important factors for fashion app attributes, whereas convenience only had a significant impact on service quality. Second, product information and service quality, which are also important factors for fashion app attributes, have a significant impact on mobile fashion shopping. Third, customer satisfaction concerning mobile fashion shopping has a significant impact on loyalty. Mobile fashion shopping customer satisfaction increases loyalty. Increasing the satisfaction and loyalty of mobile fashion shopping will lead to increased sales using mobile fashion shopping apps(Site) and become apparent in the results of mobile fashion companies. Therefore, various efforts by mobile fashion companies will be needed to satisfy their customers.

• Smart Structures and Systems
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• v.26 no.3
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• pp.373-390
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• 2020

Hybrid simulation (HS) is a versatile tool for structural performance evaluation under dynamic loads. Although real structural responses are often multiple-directional owing to an eccentric mass/stiffness of the structure and/or excitations not along structural major axes, few HS in this field takes into account structural responses in multiple directions. Multi-directional loading is more challenging than uni-directional loading as there is a nonlinear transformation between actuator and specimen coordinate systems, increasing the difficulty of suppressing loading error. Moreover, redundant actuators may exist in multi-directional hybrid simulations of large-scale structures, which requires the loading strategy to contain ineffective loading of multiple actuators. To address these issues, lately a new strategy was conceived for accurate reproduction of desired displacements in bi-directional hybrid simulations (BHS), which is characterized in two features, i.e., iterative displacement command updating based on the Jacobian matrix considering nonlinear geometric relationships, and force-based control for compensating ineffective forces of redundant actuators. This paper performs performance validation and application of this new mixed loading strategy. In particular, virtual BHS considering linear and nonlinear specimen models, and the diversity of actuator properties were carried out. A validation test was implemented with a steel frame specimen. A real application of this strategy to BHS on a full-scale 2-story frame specimen was performed. Studies showed that this strategy exhibited excellent tracking performance for the measured displacements of the control point and remarkable compensation for ineffective forces of the redundant actuator. This strategy was demonstrated to be capable of accurately and effectively reproducing the desired displacements in large-scale BHS.

• Advances in nano research
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• v.12 no.1
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• pp.81-99
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• 2022

The aim of current work is to evaluate thermo-electrical characteristics of graphene nanoplatelets Reinforced Composite (GNPRC) coupled with magneto-electro-elastic (MEE) face sheet. In this regard, a cylindrical smart nanocomposite made of GNPRC with an external MEE layer is considered. The bonding between the layers are assumed to be perfect. Because of the layer nature of the structure, the material characteristics of the whole structure is regarded as graded. Both mechanical and thermal boundary conditions are applied to this structure. The main objective of this work is to determine critical temperature and critical voltage as a function of thermal condition, support type, GNP weight fraction, and MEE thickness. The governing equation of the multilayer nanocomposites cylindrical shell is derived. The generalized differential quadrature method (GDQM) is employed to numerically solve the differential equations. This method is integrated with Deep Learning Network (DNN) with ADADELTA optimizer to determine the critical conditions of the current sandwich structure. This the first time that effects of several conditions including surrounding temperature, MEE layer thickness, and pattern of the layers of the GNPRC is investigated on two main parameters critical temperature and critical voltage of the nanostructure. Furthermore, Maxwell equation is derived for modeling of the MEE. The outcome reveals that MEE layer, temperature change, GNP weight function, and GNP distribution patterns GNP weight function have significant influence on the critical temperature and voltage of cylindrical shell made from GNP nanocomposites core with MEE face sheet on outer of the shell.