• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.903-921
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• 2024

Industry 5.0 puts forward higher requirements for smart cities, including low-carbon, sustainable, and people-oriented, which pose challenges to the design of smart cities. In response to the above challenges, this study introduces the cyber-physical-social system (CPSS) and parallel system theory into the design of smart cities, and constructs a smart city framework based on parallel system theory. On this basis, in order to enhance the security of smart cities, a sustainable patrol subsystem for smart cities has been established. The intelligent patrol system uses a drone platform, and the trajectory planning of the drone is a key problem that needs to be solved. Therefore, a mathematical model was established that considers various objectives, including minimizing carbon emissions, minimizing noise impact, and maximizing coverage area, while also taking into account the flight performance constraints of drones. In addition, an improved metaheuristic algorithm based on ant colony optimization (ACO) algorithm was designed for trajectory planning of patrol drones. Finally, a digital environmental map was established based on real urban scenes and simulation experiments were conducted. The results show that compared with the other three metaheuristic algorithms, the algorithm designed in this study has the best performance.

• Journal of Distribution Science
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• v.11 no.4
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• pp.73-80
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• 2013

Purpose - As the smart-phone market adds new technologies and introduces new marketing trends, competition among companies is getting fierce. Now, smart-phone companies need to pay attention not only to attaining new customers but also to retaining customers, which means managing relationships to prevent customer defection. Therefore, how to satisfy customer needs and maintain long-term relations are both important to make consistent progress in the rapidly changing smart-phone market. To illustrate this point, the study focuses on analyzing the effects of consumption value on relational factors and buying intentions among smart-phone users. First, consumption value was divided into functional, economic, and emotional values. After that, the effects of these values on satisfaction and brand trust were confirmed. Additionally, effects of satisfaction and brand trust on repurchase intention were analyzed. Research design, data, and methodology - The data was collected in a self-administered survey among 270 undergraduate students, using smart-phones between June 4th-12th, 2012. A total of 257 questionnaires were collected and used for the data analysis. A path analysis based on Lisrel 8.54 was used for the hypothesis test. Consumption value was divided into functional, economic, and emotional values. Subsequently, the effects of these values on satisfaction and trust in the brand were confirmed. Additionally, the effects of satisfaction and trust in the brand on repurchase intention were analyzed. Results - First, functional value, economic value, and emotional value - especially emotional value - were revealed to have positive effects on satisfaction. Second, emotional value was shown to have positive effects on brand trust, while functional and economic values did not. Third, satisfaction had positive effects on brand trust. In considering the relative influence on brand trust, satisfaction was the most crucial factor. It is clear that in the evaluation of the direct experience, using the product or the service plays an important role in building brand trust. Fourth, satisfaction and brand trust positively influenced repurchase intention. This indicates that both factors must be achieved to induce the repurchase Intention among customers. Conclusions - One can see that the enjoyable emotions consumers feel while using smart-phones is the most important factor in increasing levels of satisfaction. Moreover, this indicates that consumers pursue economic desires along with convenient functions in order to reduce opportunity costs. Additionally, consumers are affected by psychological and emotional messages in building trust, rather than practical and rational ones. Thus, in order to appeal to young clients as an attractive brand in the smart-phone market, approaching customers with an emotional value is recommended. In addition, in order for the brand to gain trust, the overall experience the consumer feels while using smart phones should be maximized. After all, one must fulfill the consumers' desire for a new experience and show a willingness to faithfully accomplish the responsibility of the brand to strengthen relationships with customers in the smart-phone market.

• Steel and Composite Structures
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• v.25 no.1
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• pp.67-78
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• 2017

In this study, free vibration of functionally graded (FG) micro/nanobeams based on nonlocal third-order shear deformation theory and under different boundary conditions is investigated by applying the differential quadrature method. Third-order shear deformation theory can consider the both small-scale effects and quadratic variation of shear strain and hence shear stress along the FG nanobeam thickness. The governing equations are obtained by using the Hamilton's principle, based on third-order shear deformation beam theory. The differential quadrature (DQ) method is used to discretize the model and attain the natural frequencies and mode shapes. The properties of FG micro/nanobeam are assumed to be chanfged along the thickness direction based on the simple power law distribution. The effects of various parameters such as the nonlocal parameter, gradient index, boundary conditions and mode number on the vibration characteristics of FG micro/nanobeams are discussed in detail.

• Journal of IKEEE
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• v.22 no.1
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• pp.156-161
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• 2018

Recently, as the population rapidly increases, food shortages and waste are emerging serious problem. In order to solve this problem, various countries and enterprises are trying research and product development such as a study of consumers' purchasing patterns of food and a development of smart refrigerator using IoT technology. However, the smart refrigerators which currently sold have high price issue and another waste due to malfunction and breakage by complicated configurations. In this paper, we proposed a low-cost smart refrigerator system based on IoT for solving the problem and efficient management of ingredients. The system recognizes and registers ingredients through QR code, image recognition, and speech recognition, and can provide various services of the smart refrigerator. In order to improve an accuracy of image recognition, we used a model using a deep learning algorithm and proved that it is possible to register ingredients accurately.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.7-12
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• 2016

In general, crowded places, such as banks, government offices and hospitals, require the customer to wait for a certain period of time. Thus according to the order of the wait, customers takes waiting numbers. In this way, so customers should always check the order of waiting processes that they can not carry on another affairs. In this paper, we develop an application, that is SmartQ, managing queue using a mobile handset. SmartQ is an easy-to-use application allowing customers an alternative to the classic queue management systems. With this application, they are aware of the waiting conditions in real time for each of their services. They can indicate the time they wish to come and take a virtual ticket in the queue. It provides service notification, the number of waiting person, and expected waiting time.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.365-372
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• 2014

In this paper, We implement a power-saving and efficient measures in buildings using the smart-meter. In order to save electric power energy, We propose an improved automatic power-factor controller(APFC) and demand control measures. This is achieved by controlling directly circuit breakers and the capacitor bank feeders in real time via a two-way smart-meter's ICT skills. Improved APFC is minimizing installation costs by series-parallel connecting heterologous capacitors to form a more diverse capacitor banking and controlling using the smart-meter. In order to suppress the demand power, We have designed a smart-meter with communication functions using Atmel's AVR465 and tested an operated lodging building for 24-hours. As a result, We made sure to always retained more than 95% power factor and did not occur over compensation.

• Journal of Fashion Business
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• v.24 no.3
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• pp.17-29
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• 2020

This study aimed to produce fiber stretch sensors for smart soccer socks to prevent injuries during training. A sensor was manufactured with stretchable fabric and tested to ensure convenience during training. In order to manufacture the fiber stretch sensor, a CNT dispersion solution was applied to an e-band and elastic polyester fabric, and the performance of the sensors was evaluated by a tensile test. Performance evaluation showed that both of the tested fabrics are excellent for this purpose. Both sensors were attached to socks to create prototype wearable devices, and an experiment was conducted to determine whether a resistance change accompanying relaxation and contraction of the gastrocnemius muscle could be detected. In order to accurately evaluate performance as a sensor, the fabric was stretched 20 times at low speeds of 1 Hz and 0.5 Hz. A change in resistance due to tension was observed, with both the E-band and the stretchable poly fabric showing high sensitivity and high reproducibility. Both can be used as relaxation/contraction sensors. Smart soccer socks were made using the two materials, and an evaluation was conducted. Tensile tests were done on the smart soccer socks; the tests were done 20 times per sock, and the sensor showed a stable resistance change between 30 and 40 ohms depending on the tension of the sensor. As a result, we confirmed that smart soccer socks with stretch sensors made of E-bands can measure changes in the gastrocnemius muscle.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.503-513
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• 2019

Objectives: This study aimed to analyze the effects of smart-learning on the education of dental hygiene students. Methods: This study was conducted on 135 students in the dental hygiene department from a single university, with a pre-test implemented in order to verify the homogeneity of the experimental (smart-learning exposed) and control groups. Following each group's lecture, we measured the study achievements of the students via a post-test, and their learning satisfaction through a questionnaire. An independent t-test was conducted to examine the homogeneity of the two groups and to compare both study achievements and learning satisfaction. Furthermore, a paired t-test was performed in order to compare the study achievements before and after lectures. Results: The average learning satisfaction level of the experimental group was $4.65{\pm}0.43$, which was higher than that of the control group ($4.46{\pm}0.54$) (p<0.05). After comparing the study achievements of the groups, there was no statistically significant difference between them, both before and after lectures. Paired comparisons conducted on the overall study achievements showed that they significantly increased following lectures when compared to what they were beforehand, in both the smart-learning and control groups (p<0.001). Conclusions: Smart-learning can be expected to result in positive effects for dental hygiene education, and further structural studies on the various types of smart-learning are needed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.5
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• pp.95-108
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• 2011

Smart Grids are intelligent next generating Electric Power System (EPS) that provide environment-friendliness, high-efficiency, and high-trustworthiness by integrating information and communication technology with electric power technology. Smart grids help to supply power more efficiently and safely than past systems by bilaterally exchanging information between the user and power producer. In addition, it alleviates environmental problems by using renewable energy resources. However, smart grids have many cyber security risks because of the bilateral service, the increase of small and medium-sized energy resources, and the installation of multi-sensors or control devices. These cyber risks can cause critical problems within a national grid through even small errors. Therefore, in order to reduce these risks, it is necessary to establish a cyber security strategy and apply it from the developmental stage to the implementation stage. This thesis analyzes and recommends security strategy in order to resolve the security risks. By applying cyber security strategy to a smart grid, it will provide a stepping-stone to creating a safe and dependable smart grid.

• The Plant Pathology Journal
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• v.37 no.6
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• pp.521-532
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• 2021

Knowledge and better understanding of functions of the microbial community are pivotal for crop management. This study was conducted to study bacterial structures including Acidovorax species community structures and diversity from the watermelon cultivated soils in different regions of South Korea. In this study, soil samples were collected from watermelon cultivation areas from various places of South Korea and microbiome analysis was performed to analyze bacterial communities including Acidovorax species community. Next generation sequencing (NGS) was performed by extracting genomic DNA from 92 soil samples from 8 different provinces using a fast genomic DNA extraction kit. NGS data analysis results revealed that, total, 39,367 operational taxonomic unit (OTU), were obtained. NGS data results revealed that, most dominant phylum in all the soil samples was Proteobacteria (37.3%). In addition, most abundant genus was Acidobacterium (1.8%) in all the samples. In order to analyze species diversity among the collected soil samples, OTUs, community diversity, and Shannon index were measured. Shannon (9.297) and inverse Simpson (0.996) were found to have the highest diversity scores in the greenhouse soil sample of Gyeonggi-do province (GG4). Results from NGS sequencing suggest that, most of the soil samples consists of similar trend of bacterial community and diversity. Environmental factors play a key role in shaping the bacterial community and diversity. In order to address this statement, further correlation analysis between soil physical and chemical parameters with dominant bacterial community will be carried out to observe their interactions.