• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.54-61
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• 2019

Recently, IITS (intelligent integrated transportation system) has been important topic in Smart City related industry. As a main objective of IITS, prevention of traffic jam (due to car accidents) has been attempted with help of advanced sensor and communication technologies. Studies show that car accident has certain correlation with some factors including characteristics of location, weather, driver's behavior, and time of day. We concentrate our study on observing auto correlativity of car accidents in terms of time of day. In this paper, we performed the ARIMA tests including ADF (augmented Dickey-Fuller) to check the three factors determining auto-regressive, stationarity, and lag order. Summary on forecasting of hourly car crash counts is presented, we show that the traffic accident data obtained in Korea can be applied to ARIMA model and present a result that traffic accidents in Korea have property of being recurrent daily basis.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.137-142
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• 2015

In the object inheritance of SR DEVS, partial or overall asset inheritance can be possible. To a asset inherited from parent object, by respective dedicated function a child object can implement partial or whole asset, or not. Even though a child has a inherited asset, if the asset is the hidden property its implementation will not be provided. A inherited asset cannot be showed in whole asset implementation, or it can be implemented by special system state. Here, the whole asset implementation means may include time parameter. In this paper, we describe a determination probability scheme for partial or whole asset inherited from the parent object to determine the hidden inheritance. By the determination probability function it is decided that the inherited asset will be hidden or normal asset.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.45-51
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• 2021

In this paper, we propose a 3D design method of the vacuum forming method of the front part to improve the lightness and production efficiency of agricultural electric vehicles. For agricultural electric vehicles, lightness and production efficiency are more important than the strength of materials for collision protection. In this paper, we propose a vacuum forming design method that can replace complex machining processes such as laser machining, bending, and painting. The main purpose of this research is to improve product stability, productivity and convenience through 3D design of the front part and development of vacuum forming mold technology. Research procedure follows the 3D modeling of the front part using CATIA, finite element analysis for the structural stability using ABAQUS, manufacturing prototype for the investigation of the dimensions using 3D scanner and actual driving test under agricultural electric vehicle usage environment. The results verifies the proposed 3D design method of the vacuum forming method and are expected to be widely used by agricultural workers through the simplification of the production process of agricultural electric vehicles.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.26 no.3
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• pp.165-171
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• 2020

Maintaining steady and low temperature during distribution process is a key technique to inhibit microbial growth, one of the most important factors in determining the shelf life. It is possible to provide high-quality fresh products to consumers only when precise and adequate temperature control is guaranteed throughout the entire distribution process for fresh seafood. This study investigated the shelf-life of packaged fresh flounder (Paralichthys Olivaceus) in order to learn the feasibility of super-chilled distribution of fresh seafood. To estimate the shelf life, weight, number of bacteria such as E. coli, pH, sensory test and volatile basic nitrogen were investigated. As a result of the study, the difference in shelf life of 6 days at the super-chilling temperature (0±1℃) and 1 day at the general refrigeration temperature (8±2℃) (based on volatile base nitrogen) showed the market possibility of super-chilling distribution. Through additional empirical studies such as packaging methods and economic feasibility, it is expected to promote commercialization of super-chilling containers and packaging system developed in the future and secure customer reliability.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.753-773
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• 2019

CV(Connected Vehicle) technology provides safety-related services and user convenience-related services to vehicle. Safety-related services can cause privacy problem by continuously transmitting vehicle information to nearby vehicles or base stations. Therefore, safety-related services should provide vehicle anonymity for privacy protection. However, if convenience-related services such as payment services fail to provide vehicle anonymity, driver information related to safety-related services may also be leaked. In this paper, we design a payment protocol based on ECQV(Elliptic Curve Qu-Vanstone) impicit certificate and group signature that provides BU-anonymity and traceability. The proposed payment protocol makes it impossible to track vehicles from payment transactions history by separating roles of payment system components. Moreover, we define the security requirements that the vehicle payment protocol must satisfy and show that the protocol satisfies the requirements.

• Journal of the Korean Geotechnical Society
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• v.34 no.11
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• pp.43-55
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• 2018

AGF (Artificial Ground Freezing) method is a temporary ground improvement method which can apply to all types of soil with the purpose of high stiffness and low hydraulic conductivity. However, the groundwater flow and the heterogeneity of the ground increase the uncertainty of the ice-column formation which hinders the reliability of this method. The effects of groundwater flow and layered heterogeneity on ice-wall integrity by AGF method were analyzed using finite element analysis program for a coupled thermo-hydro phenomena in the freezing ground. Groundwater flow changes circular ice-column into elliptical shapes and increases the time required for the formation of ice walls. The previous theoretical formula overestimated the completion time of the ice wall and the critical groundwater velocity by neglecting the thermal interaction between adjacent ice-columns. Numerical results presented the corrected formula and verified the proposed equation for the dimensionless ice-wall completion time. In the layered heterogeneous ground, the thickness of the layer with higher hydraulic conductivity and its relative magnitude were found to be important factors in the ice-wall completion time and critical velocity.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.441-446
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• 2018

The purpose of this study is to investigate the digital media strategies for small business branding. To understand the effective strategies for promoting small business through digital content marketing, we conducted in-depth interview with small business managers. The results of in-depth interview revealed that it is critical for small businesses to start creating and including video marketing as part of their entire content strategy. Especially, small business managers considered that video that provides rich media content can boost consumer engagement and increase the time spent on a branded contents. From a managerial perspective, this study provides guide on what small businesses should consider when developing and implementing digital strategies. For future research, this study provides the guide to investigate the effects of digital contents on the brand equity of small business.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.329-334
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• 2018

Web services are standardized software technologies that enable interoperability of operating systems and programming languages through networks and related standards. Web services are distributed computing services that provide and discover services making it possible to access various services. Since the search method of web service considers only the functional aspect, it has a limitation on user-oriented search when selecting a service. In order to solve these problems, this study proposes an automatic IoT information generation tool, and provides IoT extension information when searching a web service, thereby improving the problem so that a suitable service can be selected for a user. Automatic IoT extension information generation tool proposed in this study collects and stores various information generated in the process of sensing, networking, and information processing by collaborating autonomously in a distributed environment of user, object, and service. The proposed method supports the service search suitable for the user by providing the information generated by the user as extended information when searching the web service. The proposed method can be applied to the 4th industry sector to provide a customized service that meets various environment requirements.

• The Journal of the Acoustical Society of Korea
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• v.38 no.2
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• pp.154-159
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• 2019

When measuring the radiating noise of an underwater moving source, the range information between the acoustic source and the receiver is an important evaluation factor, and the measurement standards such as a receiver position, a moving source depth and a speed are set. Although there is a method of using the cross correlation as a method of finding the range of the underwater moving source, this method requires a time synchronization process. In this paper, we proposed the method to estimate the range by comparing the Doppler frequency difference of the theoretically calculated multipath signal with the Doppler frequency difference of the multipath signal estimated from the received signal. The proposed method does not require a separate time synchronization process. Simulations were performed to verify the performance, and the ranging error of the proposed method reduced by about 95 % than that of the conventional method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.111-116
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• 2019

New technologies such as the IoT, Big Data, and Artificial Intelligence, starting from the Web, mobile, and smart device, enable new business models that did not exist before, and various types of Internet companies based on these business models has been emerged. In this research, we examine the factors that influence the success and failure of Internet companies. To do this, we review the recent studies on business model and examine the variables affecting the success of Internet companies in terms of network effect, user interface, cooperation with actors, creating value for users. Using the five derived variables, we will select 14 Internet companies that succeeded and failed in seven commercial business model categories. We derive decision tree by applying inductive learning based on ID3 algorithm to the analysis result and derive rules that affect success and failure based on derived decision tree. With these rules, we want to present the strategic implications for actors to succeed in Internet companies.