• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.3
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• pp.353-363
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• 2021

As the Untact era is rapidly changing, collaboration tools are increasing their utilization and value as digital technologies for non-face-to-face work. While instant messenger-based collaboration tools support a variety of functions, crime and accident concerns are also increasing in proportion to their convenience, such as information leakage and security incidents. Meanwhile, the digital forensics perspective on collaborative tools is not enough, so forensics research is needed. This study analyzes significant artifacts in the two operating environments through Windows and Android forensics research on Microsoft Teams, the collaboration tool with the highest share in the world. Also, based on differences in artifacts and data attributes according to the operating environment, by applying 'differential forensic', we proved that the usefulness of evidence can be improved by presenting a complementary analysis method and timeline configuration through information linkage.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.137-142
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• 2021

The Internet of Things (IoT) paradigm is at the forefront of present and future research activities. The huge amount of sensing data from IoT devices needing to be processed is increasing dramatically in volume, variety, and velocity. In response, cloud computing was involved in handling the challenges of collecting, storing, and processing jobs. The fog computing technology is a model that is used to support cloud computing by implementing pre-processing jobs close to the end-user for realizing low latency, less power consumption in the cloud side, and high scalability. However, it may be that some resources in fog computing networks are not suitable for some kind of jobs, or the number of requests increases outside capacity. So, it is more efficient to decrease sending jobs to the cloud. Hence some other fog resources are idle, and it is better to be federated rather than forwarding them to the cloud server. Obviously, this issue affects the performance of the fog environment when dealing with big data applications or applications that are sensitive to time processing. This research aims to build a fog topology job scheduling (FTJS) to schedule the incoming jobs which are generated from the IoT devices and discover all available fog nodes with their capabilities. Also, the fog topology job placement algorithm is introduced to deploy jobs into appropriate resources in the network effectively. Finally, by comparing our result with the state-of-art first come first serve (FCFS) scheduling technique, the overall execution time is reduced significantly by approximately 20%, the energy consumption in the cloud side is reduced by 18%.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.29-40
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• 2021

Purpose: In this study, with the transaction amount of foreign direct Purchase and foreign direct sales increasing, South Korea is in a situation where foreign direct sales are focused on China. We looked at the impact of consumer innovation and site characteristics on repurchase ability among the characteristics of overseas direct purchase consumers as a way to make direct overseas sales to various overseas countries. Research design, data and methodology: Consumer innovativeness consists of four variables: functional, hedonistic, social, and cognitive, and the site characteristics consisted of four variables: product price, product assortment, convenience, and service. The study was conducted on consumers with foreign direct purchase experience, and was finally used in 252 additional analyses. Results: The main findings of this study were first, that the impact on the degree of re-purchase among consumer innovativeness of foreign direct purchase consumers had a significant impact in the order of cognitive innovativeness, hedonistic innovativeness, and functional innovativeness. Social innovativeness did not affect the degree of re-purchase. Second, site characteristics have been found to have a significant impact on the degree of re-purchase in order of product assortment, commodity price, and service. Convenience did not affect the degree of re-purchase. Conclusions Taken together these results can be called the biggest characteristic of the cognitive innovativeness of the consumer's inclination to use the overseas direct purchase, the price or quick response of the goods sold on the site is a factor that affects the re-purchase, above all it is important to have a variety of products. We will present this element as a way to make direct sales abroad to various countries. In addition, foreign direct purchase is a lot of transactions in China, the United States, EU, but the share of China is high in foreign direct sales, and the U.S. and EU have a very low performance, it is important to consider the reasons why they prefer Korean products in China to study the social and cultural characteristics of U.S. and European consumers in the future, and to support and active marketing that companies and sellers can increase sales.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.188-210
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• 2022

As a promising technique to support tremendous numbers of Internet of Things devices and a variety of applications efficiently, mobile edge computing (MEC) has attracted extensive studies recently. In this paper, we consider a MEC-assisted peer-to-peer (P2P) mobile communication system where MEC servers are deployed at access points to accelerate the communication process between mobile terminals. To capture the tradeoff between the time delay and the energy consumption of the system, a cost function is introduced to facilitate the optimization of the computation and communication resources. The formulated optimization problem is non-convex and is tackled by an iterative block coordinate descent algorithm that decouples the original optimization problem into two subproblems and alternately optimizes the computation and communication resources. Moreover, the MEC-assisted P2P communication system is compared with the conventional P2P communication system, then a condition is provided in closed-form expression when the MEC-assisted P2P communication system performs better. Simulation results show that the advantage of this system is enhanced when the computing capability of the receiver increases whereas it is reduced when the computing capability of the transmitter increases. In addition, the performance of this system is significantly improved when the signal-to-noise ratio of hop-1 exceeds that of hop-2.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.33-38
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• 2021

The data economy' is growing rapidly with the corona era. The quantity and quality of digital data is increasing rapidly. The domestic data industry needs a variety of data manpower, but there is still a shortage of high-quality data manpower. The data manpower in high demand is the development manpower, but the data business manpower is needed to increase the added value of the data industry. The role of a data trade manager that creates high core value among data business personnel is attracting attention. This study derives the job definition of the data trade manager, the necessary knowledge and skills, and the educational content necessary for the training course through Delphi research. In order to validate the results of the research, the study try to verifies the role of data trade managers. This study can be used as a theoretical basis for an educational model that is the basis for training data manpower, and can be used to establish a manpower training policy in the future.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.390-405
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• 2021

Gait analysis trackers have been developed to monitor daily gait patterns to improve users' running performance and reduce the risk of injuries. A variety of gait analysis trackers are available on the market(e.g., foot pods, insoles). Depending on the type of gait analysis tracker, users' discomfort or satisfaction as well as required properties may differ. Hence, the purpose of this study was to compare and analyze user experience of three different types of commercial shoe-mounted gait analysis trackers and their mobile applications in a laboratory environment using questionnaires based on actual experiences of each product. Ten males and ten females who regularly enjoy walking and running exercises participated in the experiment. After the participants set up the tracker and application themselves without support from researchers, ten to thirty minutes' exercise was permitted on each product. Following this, the participants answered questionnaires containing evaluation variables on the device and mobile application, as well as satisfaction, intention to use, recommendation, and purchase. In addition, they were asked questions about the attractive features and shortcomings of each device and application. The results showed that the PRO-SPECS^® smart insole was preferred over the others for ease of use, perceived durability, psychological burden of the design, and usefulness of the information provided by the application. Along with the results of questionnaire, this study also discussed strategies and recommendations for future product design and development.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.166-173
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• 2022

A variety of input parameters are taken into consideration while performing a Level 3 PSA. Some parameters related to plume segments, spatial grids, and particle size distribution have flexible input formats. Fine modeling performed by splitting a number of segments or grids may enhance the accuracy of analysis but is time-consuming. Analysis speed is highly important because a considerably large number of calculations is required to handle Level 2 PSA scenarios for a single-unit or multi-unit Level 3 PSA. This study developed a sensitivity analysis supporting interface called MACCSsense to compare the results of the trials of plume segmentation with the results of the base case to determine its impact (in terms of time and accuracy) and to support the development of a modeling approach, which saves calculation time and improves accuracy. MACCSense is an automation tool that uses a large amount of plume segmentation analysis results obtained from MUST Converter and Mr. Manager developed by KAERI to generate a sensitivity report that includes impact (time and accuracy) by comparing them with the base-case result. In this study, various plume segmentation approaches were investigated, and both the accuracy and speed of offsite consequence analysis were evaluated using MACCS as a consequence analysis tool. A simultaneous evaluation revealed that execution time can be reduced using multi-threading. In addition, this study can serve as a framework for the development of a modeling strategy for plume segmentation in order to perform accurate and fast offsite consequence analyses.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.252-259
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• 2022

In order to discuss the implications for demographic changes due to an aging society, this study sought to verify the effect of generational age with a focus on the case of the national housing scale transaction in Seoul Seocho-gu. For the result, variance and linear regression analysis, and when the analysis showed a significant correlation between age and transaction price, and corrected the trading region and year, it was also confirmed that the higher the age in most regions, the lower the trading price tendency. Based on the results of this analysis, efforts to improve the adequacy and fairness of pricing in trading cases, and the direction of policy change due to the aging of the population were discussed, and on the basis of this, we even proposed measures for the support of the policy authorities. In addition, the management condition of individual communal houses was an important factor in the sale and the lack of utilization of Internet-based platforms was expected to be the cause of the low price sale. However, due to the use of 2nd order data on real trading cases, the direction of subsequent research was presented together with respect to the limitations of not being able to control a wider variety of individual characteristics.

• Archives of Plastic Surgery
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• v.49 no.2
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• pp.174-183
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• 2022

Management of traumatic skull base fractures and associated complications pose a unique reconstructive challenge. The goals of skull base reconstruction include structural support for the brain and orbit, separation of the central nervous system from the aerodigestive tract, volume to decrease dead space, and restoration of the three-dimensional appearance of the face and cranium with bone and soft tissues. An open bicoronal approach is the most commonly used technique for craniofacial disassembly of the bifrontal region, with evacuation of intracranial hemorrhage and dural repair performed prior to reconstruction. Depending on the defect size and underlying patient and operative factors, reconstruction may involve bony reconstruction using autografts, allografts, or prosthetics in addition to soft tissue reconstruction using vascularized local or distant tissues. The vast majority of traumatic anterior cranial fossa (ACF) injuries resulting in smaller defects of the cranial base itself can be successfully reconstructed using local pedicled pericranial or galeal flaps. Compared with historical nonvascularized ACF reconstructive options, vascularized reconstruction using pericranial and/or galeal flaps has decreased the rate of cerebrospinal fluid (CSF) leak from 25 to 6.5%. We review the existing literature on this uncommon entity and present our case series of n = 6 patients undergoing traumatic reconstruction of the ACF at an urban Level 1 trauma center from 2016 to 2018. There were no postoperative CSF leaks, mucoceles, episodes of meningitis, or deaths during the study follow-up period. In conclusion, use of pericranial, galeal, and free flaps, as indicated, can provide reliable and durable reconstruction of a wide variety of injuries.

• Journal of Korean Public Health Nursing
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• v.37 no.1
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• pp.5-24
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• 2023

Purpose: The objective of this review was to identify the research trends in Information and Communication Technology (ICT)-based health-related intervention studies for children and adolescents published in South Korea over the past 10 years. Methods: A scoping review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) and the system classification framework for digital health intervention 1.0 of the World Health Organization (WHO) was applied to analyze how technology was being used to support the needs of the health system. Results: A total of 18 studies were included in the final analysis. The participants were mainly children with a variety of diseases. No studies had used innovative technology platforms such as artificial intelligence (AI), the Internet of Things (IoT), and robotics. In addition, the scope of application of the WHO classification criteria was quite limited. Finally, no intervention study considered technical operational indicators, such as the number of website visits and streaming as outcome measurements. Conclusions: Researchers should introduce advanced technology-based strategies to provide customized and professional healthcare services to children and adolescents in South Korea and continue efforts to integrate innovative ICT for various research purposes, subjects, and environments.