• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.339-351
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• 1997

This study intended to enhance the quality of life of rural adolescents through survey 185 young people in YeonChun County, in the course of measuring the level of life of adolescents and finding several variables related with the level and drawing some applications for enhancement. As a result of this study we had some findings 1) the most young people were belonging to the second (vital feeling value) level and third (mental value) level 2) Sex, religion, tendency oriented to other person were three related variables with the level. The more the people having other-oriented tendency the higher the level of value. Female, Christian is higher in the level. 3) Many adolescents showed little hearty satisfaction concering their own life 4) The level of act in their real life were corresponded with the level of value 5) Characteristics of high value-level adolescents against low value-level ones were that they had high level of value-recognition, less family member. The hit ratio was 83.7 percent. On the basis of this study the following suggestions for the improvement of quality of life for youth in the rural area in the future. First, we should make a great effort in value education in order to clearly get the goal of the true life. The quality improvement such as the education of mental life and religion for the young people by developing programs to continously improve the value of life. Second, the necessity of behavior guiding other oriented tendency should be emphasized. We should connect adolescents with value recognition through more interest in actions. And third, it is necessary to make a professional effort for the improvement of level of value, that is, an in depth study of the theoretical systemization.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.67-74
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• 2014

Real options valuation models are now proved as a effective valuation method both in Theoretically and empirically. However, to use real options model for early stage start-ups, additional non-financial information is crucial in the valuation process. Previous studies theoretically suggested the modified real options valuation model and process to use non-financial information in the valuation of early stage startups, but there is no empirical evidence on the suggested model. Therefore, this study investigated the effectiveness of the modified real options valuation model using a case study. The case study result showed that the modified real options valuation effectively reflect the non-financial information in early stage startups, and decrease the forecasting error in the valuation process.

• Journal of Platform Technology
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• v.11 no.3
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• pp.3-11
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• 2023

Real-time control systems are growing rapidly as infrastructure technologies such as IoT and mobile communication develop and services that value real-time such as factory management and vehicle operation checks increase. Various solutions have been proposed to increase the time sensitivity of this system, but most real-time control systems are currently composed of local servers and multiple clients located in control stations, which are transmitted to local servers where control systems are located. In this paper, we proposed an edge computing-based real-time control model that can reduce the time it takes for the bus information system, one of the real-time control systems, to provide the information to the user at the time it collects the information. Simulating the existing model and the edge computing model, the edge computing model confirmed that the cost for users to receive data is reduced from at least 10% to up to 80% compared to the existing model.

• Information Systems Review
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• v.18 no.3
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• pp.97-110
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• 2016

Real estate brokerage app service is an emerging online-to-offline (O2O) business model. This study analyze the relationship between the satisfaction and reuse of real estate app services through a survey of experienced users of the application. The results show that "ease of use" and "usefulness" of the online app service positively affect customer satisfaction and eventually affects reuse. Moreover, ease of use and usefulness of the offline brokerage introduced by the application positively affects customer satisfaction and eventually affects reuse too. One meaningful finding is the stronger impact of usefulness on customer satisfaction than that of ease of use in both online and offline situations. This finding implies that the value of usefulness is bigger than that of ease of use because of users who purposely use the application to find relevant real estates. The effect of online customer satisfaction on reuse is slightly higher than that of offline. This finding suggests that need to develop a strategy for online applications that focuses on enhancing the usefulness of real estate brokerage app services in the O2O market.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.12
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• pp.1193-1200
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• 2015

An effective swing trajectory of legged robots is different from the swing trajectories of humans or animals because of different dynamic characteristics. Therefore, it is important to find optimal parameters through experiments. This paper proposes a real-time nonlinear programming (RTNLP) method for optimization of the swing trajectory of the legged robot. For parameterization of the trajectory, the swing trajectory is approximated to parabolic and cubic spline curves. The robotic leg is position-controlled by a high-gain controller, and a cost function is selected such that the sum of the motor inputs and tracking errors at each joint is minimized. A simplified dynamic model is used to simulate the dynamics of a robotic leg. The purpose of the simulation is to find the feasibility of the optimization problem before an actual experiment occurs. Finally, an experiment is carried out on a real robotic leg with two degrees of freedom. For both the simulation and the experiment, the design variables converge to a feasible point, reducing the cost value.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.154-160
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• 2019

In this paper, we propose the miniaturization size of wearable Range of Motion(ROM) and a system that can be connected with smart devices in real-time to measure the joint movement range dynamically. Currently, the ROM of the joint is directly measured by a person using a goniometer. Conventional methods are different depending on the measurement method and location of the measurement person, which makes it difficult to measure consistently and may cause errors. Also, it is impossible to measure the ROM of joints in real-life situations. Therefore, the wearable sensor is attached to the joint to be measured to develop a miniaturize size ROM device that can measure the range of motion of the joint in real-time. The sensor measured the resistance value changed according to the movement of the joint using a load cell. Also, the sensed analog values were converted to digital values using an Analog to Digital Converter(ADC). The converted amount can be transmitted wireless to the smart device through the wearable sensor node. As a result, the developed device can be measured more consistently than the measurement using the goniometer, communication with IoT-based smart devices, and wearable enables dynamic observation. The developed wearable sensor node will be able to monitor the dynamic state of rehabilitation patients in real-time and improve the rapid change of treatment method and customized treatment.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1379-1386
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• 2017

As the Internet of Things evolves, various IoT services are provided. IFTTT is an abbreviation for If This Then That and refers to a service that links different web-based services. This paper proposes a system that generates and manages rules that combine the possibility of IFTTT service and the real-time event processing according to the concept of IoT service. Conventional database-based data processing methods are burdened to process a lot of data of IoT devices coming in real-time. The IoT device's data can be classified into formal data such as the amount of power, temperature value and position information, and informal data such as video or image data. Thus, this system classifies the data stream of IoT devices coming in real-time using the CEP engine Esper into a file signature table, classifies the formal/informal data, and shows the condition of the device data defined by the user and the service to be provided by applying the service.

• IE interfaces
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• v.24 no.4
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• pp.408-419
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• 2011

R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

• Journal of Advanced Navigation Technology
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• v.12 no.3
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• pp.280-285
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• 2008

The traditional face detection method is to use difference picture method are used to detect movement. However, most do not consider this mathematical approach using real-time or real-time implementation of the algorithm is complicated, not easy. This paper, the first to detect real-time facial image is converted YCbCr and RGB video input. Next, you convert the difference between video images of two adjacent to obtain and then to conduct Glassfire Labeling. Labeling value compared to the threshold behavior Area recognizes and converts video extracts. Actions to convert video to conduct face detection, and detection of facial characteristics required for the extraction and use of AdaBoost algorithm.

• Journal of Korea Multimedia Society
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• v.3 no.1
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• pp.77-90
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• 2000

Real-Time verification is a procedure that verifies the correctness of specification related to requirement in time as well as in logic. One serious problem encountered in the verification task is that the state space grows exponentially owing to the unboundedness of time, which is termed the state space explosion problem. In this paper, we propose a real-time verification technique checking the correctness of specification by showing that a system model described in timed automata is equivalent to the characteristic of system property specified in timed modal-mu calculus. For this, we propose a local model checking method based on the value of the formula in initial state with constructing product graph concerned to only the nodes needed for verification process. Since this method does not search for every state of system model, the state space is reduced drastically so that the proposed method can be applied effectively to real-time system verification.