• KIPS Transactions on Computer and Communication Systems
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• v.6 no.11
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• pp.445-452
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• 2017

Electric pole is a supporting beam used for power transmission/distribution which accelerometer are used for measuring a external force. The meteorological condition has various effects on the external forces of electric pole. One of them is the elasticity change of the aerial wire. It is very important to perform modelling. The acceleration sensor is converted into a pitch and a roll angle. The meteorological condition has a high correlation between variables, and selecting significant explanatory variables for modeling may result in the problem of over-fitting. We constructed high deviance explained model considering multicollinearity using the Generalized Additive Model which is one of the machine learning methods. As a result of the Variation Inflation Factor Test, we selected and fitted the significant variable as temperature, precipitation, wind speed, wind direction, air pressure, dewpoint, hours of daylight and cloud cover. It was noted that the Hours of daylight, cloud cover and air pressure has high explained value in explonatory variable. The average coefficient of determination (R-Squared) of the Generalized Additive Model was 0.69. The constructed model can help to predict the influence on the external forces of electric pole, and contribute to the purpose of securing safety on utility pole.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.12-20
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• 2017

The biggest reason to prefer the remodeling is a relatively short period of time (5~6 years) compared to the reconstruction work that takes 8~9 years. In addition, from the perspective that the period of temporary residence is usually 24 months, the necessity of shortening is greater. Also, since the remodeling construction period is approximately 28~35 months on average, the strategies and efforts are needed to make up for the shortening the remodeling construction period. For these reasons, this paper is to develop an estimating model for normal project duration of apartment remodeling project. This model is reflected in the remodeling properties thorugh difference analysis of the new apartment construction project. Demolition works, reinforcement works, extension works are different, so this paper newly defines these construction work's duration in normal project duraion of remodeling. Case study and experts interviews are used to validate normal project duration. This model can be used to calculate rough construction period each alternatives, and will help a strategic decision making among the stakeholders.

• Journal of the Korean Society for Railway
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• v.19 no.6
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• pp.833-843
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• 2016

Recently, in the field of rail freight transportation, the number of trains dedicated for shippers has been increasing. These dedicated trains, which run on the basis of a contract with shippers, had been restricted to the transportation of containers, or so called block trains. Nowadays, such commodities have extended to cement, hard coal, etc. Most full freight cars are transported by dedicated trains. But, for empty car distribution, the efficiency still remains questionable because the distribution plan is manually developed by dispatchers. In this study, we investigated distribution models delineated in the KTOCS system which was developed by KORAIL as well as mathematical models considered in the state-of-the-art. The models are based on optimization models, especially the network flow model. Here we suggest a new optimization model with a framework of the column generation approach. The master problem can be formulated into a transportation problem with additional constraints. The master problem is improved by adding a new edge between the supply node and the demand node; this edge can be found using a simple shorted path in the time-space network. Finally, we applied our algorithm to the Korean freight train network and were able to find the total number of empty car kilometers decreased.

• Journal of the Korea Concrete Institute
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• v.22 no.3
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• pp.389-397
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• 2010

Concrete has excellent mechanical properties, high durability, and economical advantages over other construction materials. Nevertheless, it is not an easy task to apply concrete to long span bridges. That's because concrete has a low strength to weight ratio. Ultra high performance concrete (UHPC) has a very high strength and hence it allows use of relatively small section for the same design load. Thus UHPC is a promising material to be utilized in the construction of long span bridges. However, there is a possibility of crack generation during the curing process due to the high binder ratio of UHPC and a consequent large amount of hydration heat. In this study, adiabatic temperature rise and mechanical properties were modeled for the stress analysis due to hydration heat. Adiabatic temperature rise curve of UHPC was modeled superposing 2-parameter model and S-shaped function, and the Arrhenius constant was determined using the concept of equivalent time. The results are verified by the mock-up test measuring the temperature development due to the hydration of UHPC. In addition, models for mechanical properties such as elastic modulus, tensile strength and compressive strength were developed based on the test results from conventional load test and ultrasonic pulse velocity measurement.

• Journal of the Korean Geotechnical Society
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• v.15 no.1
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• pp.99-112
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• 1999

By using 92 values of lateral earth pressure coefficient(K) measured in Korea, the tendency of K with varying depth is analyzed and compared with the range of K defined by Hoek and Brown. The horizontal stress is generally larger than the vertical stress in Korea : About 84 % of K values are above 1. In this study, the theory of elasto-plasticity is applied to analyze the variation of K values, and the results are compared with those of numerical analysis. This reveals that the erosion, sedimentation and weathering of earth crust are important factors in the determination of K values. Surface erosion, large lateral pressure and good rock mass increase the K values, but sedimentation decreases the K values. This study enable us to analyze the effects of geological processes on the K values, especially at shallow depth where underground excavation takes place. A neural network expert system using multi-layer back-propagation algorithm is developed to predict the K values. The neural network model has a correlation coefficient above 0.996 when it is compared with measured data. The comparison with 9 measured data which are not included in the back-propagation learning has shown an average inference error of 20% and the correlation coefficient above 0.95. The expert system developed in this study can be used for reliable determination of K values.

• Journal of the Korean earth science society
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• v.36 no.4
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• pp.330-340
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• 2015

For this study, we developed an algorithm to estimate the total amount of clouds using sky image data from the Skyviewer equipped with CCD camera. Total cloud amount is estimated by removing mask areas of RGB (Red Green Blue) images, classifying images according to frequency distribution of GBR (Green Blue Ratio), and extracting cloud pixels from them by deciding RBR (Red Blue Ratio) threshold. Total cloud amount is also estimated by validity checks after removing sunlight area from those classified cloud pixels. In order to verify the accuracy of the algorithm that estimates total cloud amount, the research analyzed Bias, RMSE, and correlation coefficient compared to records of total cloud amount earned by human observation from the Gangwon Regional Meteorological Administration, which is in the closest vicinity of the observation site. The cases are selected four daily data from 0800 LST to 1700 LST for each season. The results of analysis showed that the Bias in total cloud amount estimated by the Skyviewer was an average of -0.8 tenth, and the RMSE was 1.6 tenths, indicating the difference in total cloud amount within 2 tenths. Also, correlation coefficient was very high, marking an average of over 0.91 in all cases, despite the distance between the two observation sites (about 4 km).

• Science of Emotion and Sensibility
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• v.23 no.2
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• pp.89-102
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• 2020

Consumers purchase gifts for themselves and for others. This research examined whether one's preferred purchase type (material or experiential) would depend on the gift recipient (self or others). A total of 200 participants took part in online studies via Amazon Mechanical-Turk. Based on the construal-level theory, people will focus on concrete product attributes for psychologically close objects; however, for psychologically distant objects, people will concentrate on abstract product attributes. Study 1 demonstrated that participants preferred material over experiential purchases in self-gifting situations, while they preferred experiential compared to material gifts for others. In Study 2, it was found that individual differences in emotional disconnection moderated the effect of gift recipient on preferred gift type. Specifically, the differences in preferred gift type increased as one's emotional disconnection level increased. The results of this research have theoretical implications in terms of extending construal-level theory to gift-purchasing behaviors. Furthermore, this research has practical implications for marketers and advertisers. Limitations and possible future research directions were also discussed.

• Korean Journal of Microbiology
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• v.49 no.1
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• pp.99-104
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• 2013

Bacteriophage P2 sir mutants are inefficient helpers for their satellite bacteriophage P4. The term, "P2 sir-associated helper inefficiency" has been used to define this phenomenon and it has been suggested that the DNA sequence difference between the cos region of P2 and that of P4 is responsible. To test this hypothesis, P4 derivative phage, P4 sid71 cosP2, containing the cos region of P2 and sid71 allele was constructed through several in vitro DNA manipulation steps. Its burst size was determined using a one-step growth experiment. The results showed that the substitution of the cos region of P2 for the cos region of P4 in P4 sid71 cosP2 overcame "P2 sir-associated helper inefficiency". P4 sid71 cosP2 stock phages prepared with P2 wild type helper and P2 sir helper were analyzed using a CsCl buoyant equilibrium density gradient experiment. The results revealed that the phage particles containing three copies of the P4 genome were the predominant particles in both cases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.630-637
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• 2018

Harmony search (HS) is a recently developed metaheuristic optimization algorithm. HS is inspired by the process of musical improvisation and repeatedly searches for the optimal solution using three operations: random selection, memory recall (or harmony memory consideration), and pitch adjustment. HS has been applied by many researchers in various fields. The increasing complexity of real-world optimization problems has created enormous challenges for the current technique, and improved techniques of optimization algorithms and HS are required. We propose an improved clustering harmony search (ICHS) that uses a clustering technique to group solutions in harmony memory based on their objective function values. The proposed ICHS performs modified harmony memory consideration in which decision variables of solutions in a high-ranked cluster have higher probability of being selected than those in a low-ranked cluster. The ICHS is demonstrated in various optimization problems, including mathematical benchmark functions and water distribution system pipe design problems. The results show that the proposed ICHS outperforms other improved versions of HS.

• Cartoon and Animation Studies
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• s.29
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• pp.151-172
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• 2012

Game production education in a university is very important because it is the stage for completing a game education course as well as for determining a future of game industry. In order to perform various experience and creative learning, it should be able to effectively use a computer infrastructure representing the knowledge and information society for the purpose of obtaining and re-processing information necessary for game production through prediction of directions of game industry as well information technology. This research is focused on an effective game engine education for students whom want to become game graphics designers. The purpose of this study is to draw a lesson of game production utilizing game engines and it enables practice-focused class for game production. It also allows the class participant to manufacture prototypes without support from game programmers for their outcomes of works planned during the game production class. The theoretical background of game production compared and analyzed exemplary game engines. Based on the result, the study selected Unity 3D engine and conducted the research on the background where the Unity engine has been selected and its characteristics. In addition, this study provided an example of game production utilizing a game engine, and also described the details of actual realization. This study selected Torque3D with the Unity in order to identify the purpose of this study and efficiency of learning. Thus, the previous situation is that the class remained in making a game plan during the course of game production project and, students whose major is not game programming. Now, it is necessary for students to make many efforts to make a game in an active and positive attitude by utilizing a game engine beyond the previous method of class.