• Smart Media Journal
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• v.7 no.4
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• pp.52-60
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• 2018

Energy Management System(EMS) of Microgrid(MG) collects and analyzes data from devices in the microgrid to provide information to operators, users and other systems. In the middle of the process, it is required to securely provide information through both wired and wireless communication networks. In this paper, we design and implement a module that provides encryption and decryption, key management, key distribution, and message authentication functions, thus enabling the development of a system which is safe from the exposure and modulation of data potentially occurrable during data transmission between RTU(Remote Terminal Unit) and EMS. Our method can increase the efficiency of connection and key management for RTU by connecting a virtual device(VD) to RTU.

• Convergence Security Journal
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• v.18 no.3
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• pp.61-68
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• 2018

As the digital broadcasting era settled in, the TV, which was only used to watch broadcast programs, developed as a medium for operating various data services. This means that an environment, in which the viewers' TV usage behavior can be changed from a passive attitude to an attitude of actively consuming the media, has been established. Since the advertising market is an industry that is heavily influenced by changes in the media, these changes causes changes in the form of advertising and the advertising consumption behavior of viewers. In this environment, the broadcasting industry needs to think about the new growth strategy that links the possibility of data service with the advertisement market. In this study, we designed a data service that provides supplementary information of an ID advertisement, which has the weakness of short exposure time and shortage of information expression space. Specifically, we have designed the usage scenario and user interface of the data service and developed a method, based on the international digital broadcasting standard DV B, that provides the supplementary information defined by the type of ID advertisement to the data service.

• Smart Media Journal
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• v.10 no.3
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• pp.48-53
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• 2021

The authentication process is a key step that should be used to verify that a user is legitimate, and it should be used to verify that a user is a legitimate user and grant access only to that user. Recently, two-factor authentication and OTP schemes are used by most applications to add a layer of security to the login process and to address the vulnerability of using only one factor for authentication, but this method also allows access to user accounts without permission. This is a known security vulnerability. In this paper, we propose a Zero Knowledge Proofs (ZKP) personal information authentication scheme based on a Smart Contract of a block chain that authenticates users with minimal personal information exposure conditions. This has the advantage of providing many security technologies to the authentication process based on blockchain technology, and that personal information authentication can be performed more safely than the existing authentication method.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.115-122
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• 2021

This study attempted to examine how Personalization Advertising and Customization Advertising strategies affect consumers' Aad among AI-based Programmatic Advertising strategies that have been actively conducted recently. To this end, the relationship between two advertising strategies, the transportation, the overall emotional experience that occurs when acting, and Aad was examined structurally. As a result of a survey of 110 general people, Personalization Advertising had a negative influence on consumers' transportation, and the Customization Advertising strategy had a positive influence. In addition, transportation had a positive influence on the Aad. These results suggest the needs to actively induce consumers into Customization advertising situation, rather than the company's mechanical analysis and exposure-oriented advertising strategy.

• Asia Marketing Journal
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• v.17 no.4
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• pp.63-88
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• 2016

K-Pop is hugely promoted offline/online in East Asia, while efforts to promote it elsewhere are kept to a minimum. Whilst addressing the role of digital marketing in the promotion of K-Pop in the Brazilian music industry this study aims to demonstrate that K-pop will provide its audience with a unique and engaging experience if it thinks globally and acts locally in its marketing and communication strategies. A survey of K-Pop's world fan base was carried out online with 1,074 fans to determine the validity of the hypothesis. The results have demonstrated the need to adapt global and intercultural strategies to local markets with increasing brand awareness through utilizing digital marketing. For example, to increase K-Pop's popularity and market share in Brazil, it is not required to sing in Brazilian Portuguese, contrary to what might be perceived but fully singing in English would help breaking into the market dominated by domestic music as songs would have a higher probability to be included in the international soundtrack of a Brazilian telenovela and promote the K-Pop artist not only across Brazil but also give the artist exposure in all the markets the Brazilian telenovela is exported to, opening an entry door to those markets. K-Pop audience segmentation and psychographic profiling is crucial to the understanding of each market's consumer's preferences, likes, dislikes and their buying habits as it was proven through Brazil's digital media, social media, digital music market and K-Pop market analysis within the global context of the study. It should be also considered that brand extensions are not standard everywhere and that there are cultures where different product categories are not directly associated with its main corporate owner which requires extensive local market knowledge to succeed. The primary and secondary data research that we conducted for this study intended to demonstrate that K-Pop can be successful in Brazil and in Latin America and increase their local and regional market share if digital marketing and communication strategies are tailored to each individual market.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.289-301
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• 2023

Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

• Korean Journal of Radiology
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• v.20 no.1
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• pp.148-157
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• 2019

Objective: To evaluate the current status of managing adverse reactions to iodinated contrast media (ICM) for computed tomography in referral hospitals in South Korea compared with hospitals in other countries. Materials and Methods: This survey investigation involved 59 Korean and 15 overseas hospitals using guideline-based questionnaires consisting of 24 items in 7 main categories related to managing adverse reactions to ICM. Results: Informed written consent with risk factor evaluation was appropriately performed in most of the Korean hospitals. There was considerable variability in assessing renal function across the hospitals; serum creatinine level was used as a reference in 76.4% of Korean hospitals. The Korean hospitals preferred a more stringent approach to determining normal renal function (p = 0.01), withholding metformin (p = 0.01), and fasting before ICM exposure (p < 0.001) compared with overseas hospitals. All the Korean hospitals had an emergency protocol and in-hospital system for adverse reactions to ICM. The Korean (87.7%) and overseas hospitals (100%) were similarly equipped with epinephrine (p = 0.332), but only 38.6% of Korean hospitals were equipped with a bronchodilator (p = 0.004). For patients with a previous hypersensitivity reaction to ICM, 62.3% of Korean hospitals pre-medicated with anti-histamine and corticosteroid according to the severity of the previous reaction, and changed the culprit ICM in 52.8%, while skin test was performed in 17%. Conclusion: In general, Korean referral hospitals were well-prepared regarding informed consent, protocol, and an in-hospital system for managing adverse reactions to ICM. Nevertheless, there was considerable variability in details and management, thus requiring standardization by reflecting current guidelines.

• Korean Chemical Engineering Research
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• v.58 no.3
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• pp.325-345
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• 2020

Determination of Best available technology (BAT) was suggested to reduce volatile organic compounds (VOCs) in a petrochemical industrial complex, by conducting human health risk, environmental, and economic assessment based on multimedia fugacity model. Fate and distribution of benzene, toluene, ethylbenzene, and xylene (BTEX) was predicted by the multimedia fugacity model, which represent VOCs emitted from the industrial complex in U-city. Media-integrated human health risk assessment and sensitivity analysis were conducted to predict the human health risk of BTEX and identify the critical variable which has adverse effects on human health. Besides, the environmental and economic assessment was conducted to determine the BAT for VOCs reduction. It is concluded that BTEX highly remained in soil media (60%, 61%, 64% and 63%), and xylene has remained as the highest proportion of BTEX in each environment media. From the candidates of BAT, the absorption was excluded due to its high human health risk. Moreover, it is identified that the half-life and exposure coefficient of each exposure route are highly correlated with human health risk by sensitivity analysis. In last, considering environmental and economic assessment, the regenerative thermal oxidation, the regenerative catalytic oxidation, the bio-filtration, the UV oxidation, and the activated carbon adsorption were determined as BAT for reducing VOCs in the petrochemical industrial complex. The suggested BAT determination methodology based on the media-integrated approach can contribute to the application of BAT into the workplace to efficiently manage the discharge facilities and operate an integrated environmental management system.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.20 no.4
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• pp.225-235
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• 2010

This study was aimed to assess the status of working environment, health care management status and cause of exposure in manufactories using dimethylformamide (DMF). For the purpose, airborne concentration of DMF in the workplaces and N-methylformamide (NMF) in worker's urine were measured with job type and process. In addition, management of local exhaust ventilation system (LEV) and personal protective equipment (PPE) was evaluated at 35 work places (107 workers) located in Busan and Gimhae area. Mean DMF concentrations in work places by job type and process were of high level measured in printing and record media reproduction (5.23 ppm) and flaking process (2.48 ppm). Workers in adhesive job were measured a large amount of urine NMF (21.59 mg/${\ell}$). 98.1% of DMF handling workers were provided respirators, but 67.3% of those workers used them. The main reasons for not using respirators were inconvenience and difficulty of breathing. Airborne concentrations of DMF were higher in the workplaces in which LEVs were working abnormally, but there was not statistically significant. In addition, the urine NMF levels were correlated with management of LEV within the workers who did not use the respirators (p<0.048). These results implied that LEV should be installed and maintained properly to protect the workers from the exposure to DMF. Management of PPE should be also necessary to protect the workers from chemical hazards.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.165-172
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• 2015

The purpose of this study was to identify the effect of Genibo program robot-based learning(R-Learning) on a pre-schooler's mental state. To achieve above study purpose, the subject of this study was selected 46(teacher 2, five years old pre-schooler 44) from pre-school childrens in Kyongki Y city(R-Learning activity participants group 21: boys 10, girls 11. non-participants 25: boys 13, girls 12). R-Learning program is consist of 5 field about 20 contents using Genibo robot, were applied to the experimental group and the pre-post test was conducted using the EQ assessment tool and observations. The data were analyzed by t-test using the SPSS(ver 18.0) program. The results were as follows: First, the exposure of robots to pre-schoolers in practical situation has shown positive influence to the children's emotional well-being. Positive improvements were observed in the four sub categories of the EQ assessment after exposure. Second, the Genibo used for this study, is a biomimetic AI based robot mimicking the behavior of a pet dog. This is related more or less to the specifications of a pre-school education where animals are used as a 'friendly medium' to facilitate the learning process. Third, the robot exposure gave benefit to all the ones in the sample, regardless of sex. Furthermore, It is suggested that promising potential for robots to be utilized as a new educational media plus facilitator, R-Learning is related more or less to the specifications of a pre-school education where animals are used as a 'friendly medium' to facilitate the learning process, and when applying them for education, stereotyping the likes of sex is overrated - instead, the focus should be more on the pre-schoolers' / childrens' individual traits, learning curve differences and alike.