It's called masterpieces, which are made up of a lot of enthusiasts by adding a variety of configurations, high game quality, and colorful and realistic graphics. Since many classic games came out and disappear from the game companies, they have been revived in recent years as mobile. Although this phenomenon may have various hardware and software reasons, the present researcher intends to compare and analyze the graphical issues of the characters that can increase the game immersion by the user's autonomous selection among the factors for the immersion of the game. In addition to the birth of one of the most loved characters in the world among the characters of various games, it is considered to be a character who has developed the process of graphic and various expressive production centering on the character called Super Mario which shows various developments than the character in the game history of the world We will present various possibilities of development of game character through comparative analysis and research based on the character.
Journal of the Korean Society of Clothing and Textiles
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v.41
no.1
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pp.184-195
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2017
Baseball is a life sport that gives vitality to people. However, currently available leg guards do not have a variety of sizes and it is very difficult to purchase a leg guard that is suitable for the size of a specific consumer. Therefore, this study investigated the size system of a leg guard sold in the market and suggested a grading deviation suitable for the legs of Korean males. The results of the study were as follows. First, most brands were sold only in three size systems as children's, teenagers, and adults. Adult size systems were not subdivided. Second, Korean male legs were classified into Group 1 (large girth and height and lower body muscle) and Group 2 (small girth and height and low underbody muscle). Third, the size system is based on vertical items such as height and mid-thigh circumference. Each group produced 10 sizes. The smallest height or the largest height was also found to be about 4.5 to 5.0cm smaller or larger than the sample size for each group. The total length of the leg guard was about 2.5cm when the height was increased or decreased by one size. It was confirmed that the deviation of the circumference of the mid-thigh should be about 2.0cm larger or smaller than the sample size even if the height is the same. The deviation of the knee circumference and ankle circumference was smaller than the other circumference. In conclusion, the dimension combinations of the leg guard must be set differently to provide a leg guard with high size suitability according to leg type.
Building simulation is used in a variety of sectors. In its early years, building simulation was mainly used in the design phase of a building for basic functions. Recently, however, it has become increasingly important during the operating phase, for commissioning and facility management. Most building simulation tools are used to estimate the thermal environment and energy consumption performance, and hence, they require the inputting of hourly weather data. A building simulation used for prediction should take into account the use of standard weather data. Weather data, which is used as input for a building simulation, plays a crucial role in the prediction performance, and hence, the selection of appropriate weather data is considered highly important. The present study proposed a technique for generating real-time weather data files, as opposed to the standard weather data files, which are required for running the building simulation. The forecasted weather elements provided by the Korea Meteorological Administration (KMA), the elements produced by the calculations, those utilizing the built-in functions of Energy Plus, and those that use standard values are combined for hourly input. The real-time weather data files generated using the technique proposed in the present study have been validated to compare with measured data and simulated data via EnergyPlus. The results of the present study are expected to increase the prediction accuracy of building control simulation results in the future.
Root yield and quality of ginseng cultured in paddy soil was low relatively compared with that of upland soil because of moisture injury in root during rainy season. Drainage class in soils generally divided into 6 classes, and it is possible to cultivate ginseng practically in imperfectly drainage class (IDC). This study carried out to select the varieties that is suitable for paddy soil, which is easy to be generated rusty-colored root and physiological-discolored leaf. Experiment plot arranged with the condition of soil humidity contents such as poorly drainage class (PDC) and imperfectly drainage class (IDC), and upland soil. Growth characteristics and root yield were investigated in four-year-old ginseng of varieties, Cheonpoong (CP), Yeonpoong (YP), Hwangsookjong (HS), and Jakyeongjong (JK). CP among four varieties showed the highest yield in IDC and CP was the lowest ratio in leaf discoloration and rusty-colored root. HS was followed by CP in the order of root yield, but it had the weakness that the ratio of rusty-colored root was high respectively.
In order to obtain basic informations for selecting early maturing rice varieties which is suitable for early cropping before Alisma plantago in the southern part of Korea. Eleven rice varieties were grown from May to September in 1999∼2001 at Sunchon Youngieon Experiment Field and yield components and yield of plants were investingated. Early maturing rice cv. Jinbubyeo showed higher rough rice yield than any other varieties used in the experiment. It showed high yield components, culm length, panicle length, number of panicles per plant, number of spikelets per panicle and ratio of ripened grains. therefore, it was concluded that Jinbubyeo was the most suitable variety with high yield for the cultivation before Alisma plantago at the southern part of Korea. The heritability of culm length number of spikelets per panicle and rough rice yield were high and that of panicle length number of panicle per plant, ratio of ripened grain and 1,000 grain wt. of milled rice were low. The rough rice yield showed highly significant positive correlations with culm length, panicle length, number of spikelets per panicles and ratio of ripened grains.
Maturation process of alfalfa (Medicago sativa L.) could be prevented by the reduction of lignin content in terms of conventional breeding or transgenic technology. Alfalfa could exhibit higher leaf/stem ratio, with a concern of yield loss. The objective of this study was to compare forage yield and nutritive value of low lignin alfalfa and two reference varieties subjecting to two harvest intervals and three seeding rates. The experimental design was a randomized complete block in a split-split plot arrangement with four replicates, where harvest intervals (28-day and 35-day) were assigned to whole plots, seeding rates were subplots, and varieties were sub-subplots. The weighted mean nutritive value was applied to two production years of 2016 and 2017. Hi-Gest 360 (low lignin alfalfa) provided similar yield potential and increased nutritive value compared to two reference varieties. Over a two-year production period, alfalfa harvested at every 28-day interval provided more economic returns than those at 35-day interval. For the seeding year and first production year, five cuts made by the 28-day interval produced more yield than four cuts by the 35-day interval. Due to limited rainfall in May 2017, a sharp drop of the first cutting overturned the advantage of the five-cut system. Shorter intervals between harvests generally increased crude protein (CP) concentrations. The differences of relative feed value (RFV) between two harvest intervals tended to be great during the first and second cuttings. Overall, harvest interval had a large effect on nutritive value and a more significant effect on alfalfa dry matter yield than variety selection. Seeding rate did not affect alfalfa yield and nutritive value.
Purpose: This study aimed to investigate the effects of virtual reality used in maternal-child nursing clinical practicums on nursing students' competencies through a systematic review. Methods: The inclusion criteria were peer-reviewed papers in English or Korean presenting analytic studies of maternal-child nursing practicums using virtual reality. An electronic literature search of the Cochrane Library, CINAHL, EMBASE, ERIC, PubMed, and Research Information Sharing System databases was performed using combinations of the keywords "nursing student," "virtual reality," "augmented reality," "mixed reality," and "virtual simulation" from February 4 to 15, 2022. Quality appraisal was performed using the RoB 2 and ROBINS-I tools for randomized controlled trials (RCTs) and non-RCTs, respectively. Results: Of the seven articles identified, the RCT study (n=1) was deemed to have a high risk of bias, with some items indeterminable due to a lack of reported details. Most of the non-RCT studies (n=6) had a moderate or serious risk of bias related to selection and measurement issues. Clinical education using virtual reality had positive effects on knowledge, skills, satisfaction, self-efficacy, and needs improvement; however, it did not affect critical thinking or self-directed learning. Conclusion: This study demonstrated that using virtual reality for maternal-child nursing clinical practicums had educational effects on a variety of students' competencies. Considering the challenges of providing direct care in clinical practicums, virtual reality can be a viable tool that supplements maternal-child nursing experience. Greater rigor and fuller reporting of study details are required for future research.
Communications for Statistical Applications and Methods
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v.30
no.1
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pp.95-107
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2023
Purpose: The statistical analysis of point processes on linear networks is a recent area of research that studies processes of events happening randomly in space (or space-time) but with locations limited to reside on a linear network. For example, traffic accidents happen at random places that are limited to lying on a network of streets. This paper applies techniques developed for point processes on linear networks and the tools available in the R-package spatstat to estimate the intensity of traffic accidents in Leon County, Florida. Methods: The intensity of accidents on the linear network of streets is estimated using log-linear Poisson models which incorporate cubic basis spline (B-spline) terms which are functions of the x and y coordinates. The splines used equally-spaced knots. Ten different models are fit to the data using a variety of covariates. The models are compared with each other using an analysis of deviance for nested models. Results: We found all covariates contributed significantly to the model. AIC and BIC were used to select 9 as the number of knots. Additionally, covariates have different effects such as increasing the speed limit would decrease traffic accident intensity by 0.9794 but increasing the number of lanes would result in an increase in the intensity of traffic accidents by 1.086. Conclusion: Our analysis shows that if other conditions are held fixed, the number of accidents actually decreases on roads with higher speed limits. The software we currently use allows our models to contain only spatial covariates and does not permit the use of temporal or space-time covariates. We would like to extend our models to include such covariates which would allow us to include weather conditions or the presence of special events (football games or concerts) as covariates.
The increasing number of senior citizens, combined with the power of purchasing due to discretionary income have vaulted the elderly into the position of an attractive future target market. Therefore, it would be crucial for marketers to understand elderly's purchasing behavior. The purpose of this study was to identify clothing purchasing behavior of elderly women. For this study, questionnaires were administered to 600 women over 55 years of age. However, the sample that was analyzed fer statistical analysis was involved 418 elderly women. Statistical analysis were majorly descriptives such as frequencies and percentages. The major results of this study were summarized as follows. 1. In relation to problem recognition in purchasing process, motives of purchasing apparel were identified as a happy event in home such as a wedding and a birthday, a change of seasons and a casual discovery of a suitable clothing in shopping, in orders. 2. In relation to information search, important information on apparel and fashionability were thought as display racks in a store, opinion from friends and family and fashionability from others or streets, in orders. 3. In relation to selecting a store in purchasing process, older consumers assessed that attractive price, design suited to my age, variety in one store and apparel product quality were important store attributes, in orders. In terms of a purchase place, older consumers purchased clothing mainly on department stores, wholesale stores such as Namdaemoon or Dongdaemoon market, mainly retail stores located close to home and discount stores of well known brand, in orders. 4. In relation to alternative evaluation in purchasing process, older consumeres considered that style or appearance suited to me, color, design, comfort and fitness were important selection criteria, in orders. 5. In relation to purchase choice, 61.7% of the respondents paid money by themselves and 68.9% paid on cash in purchasing apparel. 6. In relation to outcomes of purchase, older consumers solved their complaint against a unsatisfactory product mainly by returning the unsatisfactory clothing. Also, there were those who took no action against the unsatisfactory product and who altered the clothing for fitness by themselves.
This study aimed to provide a strategy for selecting an adequate combination of growth intervals(i.e. times between age $T_1$ and age $T_2$) to be used to improve the reality of the growth equation through obtaining better precision of parameter estimates. Variety of growth functions were fitted to the data and one equation which best fitted the data was chosen for the analysis. A modified Schumacher projection equation, selected as a best equation, that included dummy variables representing locality as a predictor variable was fitted for basal area and height equations with nonoverlapping growth interval and all possible growth interval data sets of Douglas-fir(Pseudotsuga menziesii Mirb.Franco). The data were measured in all parts of the South Island of New Zealand. It was found that the precision of parameter estimates was increased in both basal area and height equations by using data set which contained a range of measurement intervals from short to long term.
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