• Electrical & Electronic Materials
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• v.9 no.7
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• pp.690-695
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• 1996

We have systematically investigated the characterization of V$_{2}$O$_{5}$ thin films as a counter electrode for lithium based complementary electrochromic devices. The V$_{2}$O$_{5}$ thin films were prepared by thermal vacuum evaporation with varing the substrate temperature and film thickness. In electrochromic devices for smart windows, the WO$_{3}$ thin films with 400-800 nm thickness require to be capable of reversibly injection 10-15 mC/cm$^{2}$ of lithium, which is readily accomplished charge-balanced switching in a V$_{2}$O$_{5}$ thin films with 100-150nm thick. The V$_{2}$O$_{5}$ thin films produces considerably small changes in optical modulation properties in the visible and near infrared region(500-1100 nm) compared to the amorphous WO$_{3}$ thin films on 10-15 mC/cm$^{2}$ of lithium injection and the V$_{2}$O$_{5}$ thin films can therefore act as a counter electrode to WO$_{3}$ in a lithium based complementary clectrochromic devices. After 10$^{5}$ coloration/bleaching switching time, the degradation does not occurs and the devices exhibit a stable optical modulation in V$_{2}$O$_{5}$ thin films. It has shown that the injected lithium ion amounts in crystalline V$_{2}$O$_{5}$ thin films with the same thickness is large by 3-5 mC/cm$^{2}$ of lithium compared to the amorphous thin films in the same driving conditions. Therefore, to optimize the device performance, it is necessary to choose an appropriate film thickness and crystallinity of V$_{2}$O$_{5}$ for amorphous WO$_{3}$ film thickness as a working electrode.

• Smart Media Journal
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• v.5 no.1
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• pp.130-136
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• 2016

In this paper, the real time monitoring system for the abnormal state of marine algae does not detect the plankton which may directly cause the red tide or the water bloom. But checks both oxygen reduction and nitrogen reduction in water, which indicates the characteristics of zooplankton and phytoplankton respectively, and this system makes a module that monitors in real time the temperature and the illumination of the water, which are indirect factors, with sensors placed in and outside the water, and this module transmits signals periodically at specific intervals to a sever that builds up data base, and the data collected in these ways will be analyzed and compared with the standard data from Ministry of Oceans and Fisheries, and then these data will be made the adequate form of information to be provided to the users as visual information, thus, this system intends to make a red tide and water bloom monitoring system tailored for individual fish farm businesses that has local characteristics and can quickly operate outside working hours, which differs from the existing wide area detecting and monitoring systems.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.247-254
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• 2021

In this paper, we propose antecedent factors that influence the Information Literacy Competency of female farmers using smart devices. The study was analyzed using the materials from the "Primary Survey of Information Literacy Competency Measurement Index for Female Farmers" by the Rural Development Administration. The target of the survey was 200 women working on the farms. The descriptive, correlation, and multiple regression analyses, t-test, and ANOVA using SPSS 21.0 program were performed. Study results found that among the psychological factors, Self-efficacy and Innovativeness have positive effects on Information Literacy Competency. Among the Sociodemographic factors, the education level, presence of smartpads, and tiem spent on smartphones have positive effects on Information Literacy Competency. Findings of the results contributed to the understanding of the Information Literacy Competency for female farmers, who have lack of infromarion on smrt devices, and suggested the direction of enhancing the level of Information Literacy Competency for female farmers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.53-61
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• 2018

Recently, technologies related to the Internet of Things have developed rapidly and research on mobile environment home network systems is actively in progress. The Internet Engineering Task Force (IETF) Working Group proposed the CoAP/6LoWPAN technology as a suitable protocol for internetworking IoT devices with the Internet in a limited environment and adopting it as a standard. However, the existing home network systems hardly include security protocols. IETF recommends DTLS(Datagram Transport Layer Security) on UDP as security protocol suitable for IoT environments. In this paper, smart home network system based on CoAP/6LoWPAN by using DTLS is implemented in mobile environments. The data transfer time is measured according to each procedure of the DTLS protocol and the need to improve DTLS protocol is suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.829-832
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• 2014

The introduction of video conferencing service, the core service of smart work is activated mostly at the public organizations and large companies according to the government's recent strategy to promote the introduction of smart work. However, as a variety of products of major foreign and small domestic companies have installed in case of the domestic introduction of video conferencing, it is very urgent and important to secure interoperability among newly installed equipments as well as installed equipments. In addition, as the requirement of market situation has changed from securing interoperability only among the video conferencing systems of the same company to doing the interoperability among the various formed products of a plurality of companies, it is required to develop the standard to enable inter-working. Therefore, in this paper we propose the standardization directions in securing the interoperability of platform specifications through the standards development for interoperability profile among video conferencing systems and services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.891-892
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• 2016

Recent research has become a smart home for operating the joining operation of the relationships between the device progress. However, Existing systems, there is a problem that the efficiency of the work can be degrade by the interference occurs when the operation of the other device, and triggered if the device is operating. In this paper, we designed a priority automatically set algorithm according to a user selection device to solve this problem. The user selects the device used by the application and by comparing between devices, select whether or not to set the priority of the tasks in. This allows the user can configure the working environment of only the desired device, and less chance of interference from other devices that are not selected during the work in progress can expect a more efficient productivity.

• Smart Media Journal
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• v.11 no.3
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• pp.26-30
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• 2022

Spiking neural network is a neural network that applies the working principle of real brain neurons. Due to the biological mechanism of neurons, it consumes less power for training and reasoning than conventional neural networks. Recently, as deep learning models become huge and operating costs increase exponentially, the spiking neural network is attracting attention as a third-generation neural network that connects convolution neural networks and recurrent neural networks, and related research is being actively conducted. However, in order to apply the spiking neural network model to the industry, a lot of research still needs to be done, and the problem of model retraining to apply a new model must also be solved. In this paper, we propose a method to minimize the cost of model retraining by extracting the weights of the existing trained deep learning model and converting them into the weights of the spiking neural network model. In addition, it was found that weight conversion worked correctly by comparing the results of inference using the converted weights with the results of the existing model.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.147-156
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• 2023

Electronic voting machines (EVMs) are replacing research ballots due to the errors involved in the manual counting process and the lengthy time required to count the votes. Even though these digital recording electronic systems are advancements, they are vulnerable to tampering and electoral fraud. The suspected vulnerabilities in EVMs are the possibility of tampering with the EVM's memory chip or replacing it with a fake one, their simplicity, which allows them to be tampered with without requiring much skill, and the possibility of double voting. The vote data is shared among all network devices, and peer-to-peer verification is performed to ensure the vote data's authenticity. To successfully tamper with the system, all of the data stored in the nodes must be changed. This improves the proposed system's efficiency and dependability. Elections and voting are fundamental components of a democratic system. Various attempts have been made to make modern elections more flexible by utilizing digital technologies. The fundamental characteristics of free and fair elections are intractability, immutability, transparency, and the privacy of the actors involved. This corresponds to a few of the many characteristics of blockchain-like decentralized ownership, such as chain immutability, anonymity, and distributed ledger. This working research attempts to conduct a comparative analysis of various blockchain technologies in development and propose a 'Blockchain-based Electronic Voting System' solution by weighing these technologies based on the need for the proposed solution. The primary goal of this research is to present a robust blockchain-based election mechanism that is not only reliable but also adaptable to current needs.

• Industry Promotion Research
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• v.9 no.2
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• pp.1-12
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• 2024

This study examines the role of Environment, Social, and Governance (ESG) activity recognition on job satisfaction, prosocial activities, and job performance among customer representatives working in call center environments. After gathering data from 264 call center workers in major South Korean insurance companies, the analysis w as performed using SmartPLS 4.0. This study's findings reveal that employee recognition of ESG activities significantly enhanced job satisfaction. The impact of ESG activity recognition on prosocial behavior was positive but relatively weak. Job satisfaction influences both prosocial behavior and the job performance of employees. Finally, prosocial behavior positively influences job performance. The most significant finding is that employees' recognition of companies' ESG management practices serves as a job resource. This recognition enhances employees' attitudes, behavior, and performance, signaling the potential benefits of informing employees about corporations' ethical behaviors.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.531-536
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• 2024

Control drones, which are recently classified as smart agricultural machines in the agricultural field, are striving to build smart control and automatic control systems by combining hardware and software in order to shorten working hours and increase the effectiveness of control in the aging era of rural areas. In this paper, the characteristics of the nozzle dedicated to the control drone were analyzed as a basic study for the establishment of management control and automatic control systems. In order to consider various variables such as the type of various drone models, controller, wind, flight speed, flight altitude, weather conditions, and UAV pesticide types, related studies are needed to be able to present the drug spraying criteria in consideration of the characteristics and versatility of the nozzle. Therefore, to enable the consideration of various variables, flow analysis (CFD) simulation was conducted based on the self-designed nozzle, and the theoretical and experimental values of the droplet distribution were compared and analyzed through water reduction experiments. In the future, we intend to calculate accurate scattering in consideration of various variables according to drone operation and use it in management control and automatic control systems.