• Journal of Korean Society of Forest Science
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• v.88 no.3
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• pp.309-319
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• 1999

This study was conducted to get forest scenic beauty management information toward forest working systems; characteristics in Larix forest stands. 35 different alternatives were simulated to visualize on basis of actual forest working methods. The options were illustrated as photos produced by computer software. Each alternatives were evaluated by 3 groups with total 593 respondents after reliability test. Visual preference evaluation was used 1 - 10 point rating scale. The ratings were scaled using SBE analysis program of RMRATE. To compare the relationship of visual preference and image scale, Spatial images of 13 thinning alternatives were measured by Semantic differential scale. In general, the respondents preferred refreshing and ordering forest stand after forest working to natural forest stand before forest working. Visual preference decreased with the increasing intensity of bare ground area and slash area in forest stand. And also, visual preference was high related to tree density, clear length of stem, and ground vegetation. Farm line of small clear cutting area was preferred straight line to curve line. Visual preferences were significant differences in certain socioeconomic variables of the respondents. Results indicate how to conduct forest working system for forest scenic beauty management.

• Korean Journal of Human Ecology
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• v.15 no.3
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• pp.439-447
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• 2006

The purpose of this study is to explore the accuracy and reliability of subjective evaluation instruments in evaluating sensibility of similar fabrics, Kendall's coefficient of concordance W (agreement among subjects) and Spearman rank correlation coefficient (reproducibility after 1 week) were used to evaluate which one is more efficient. Eight kinds of linen-like silk fabrics finished with polyurethane resin were used, Subjective evaluation instruments such as rating scale method, contrasting method against a control, rank ordering method, paired comparison and Quad analysis were used, 'Stiffness and Pliability' and 'Preference of summer fabric' were estimated, From the result of subjective stiffness and pliability, which are effective on objective properties of fabric, the rating scale method in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient were given the highest score, From the result of subjective preference of summer fabric, which are effective on individual sensibility, contrasting method against a control in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient revealed the highest score, Regarding the accuracy, reliability and efficiency, Quad analysis was an efficient method for subjective evaluation of linen-like silk fabrics.

• The Journal of the Acoustical Society of Korea
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• v.27 no.6
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• pp.296-302
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• 2008

This study investigated that the preference model of soloist performers for both vocal and instrumental types in terms of a stage support parameter, ST1. The test was carried out on a stage of a fan-shaped multi-purpose hall with orchestra shell. Objective measurements were carried out at 15 positions on the stage to evaluate various stage condition. The results showed that ST1 varies between -19.9 and -11.3 dB. Vocal and instrumental players participated in performance evaluation test as they played at 5 selected positions according to ST1 values. Players' preference was evaluated by 5-point rating and rank ordering method. As a result, it was found that the preference model of vocalist is different from that of instrumentalist. It was also found that the ST1 does not correlate well with the performer's preference.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.434-440
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• 2010

In this paper, we define generalized induced linguistic aggregation operator called generalized induced linguistic ordered weighted harmonic mean(GILOWHM) operator. Each object processed by this operator consists of three components, where the first component represents the importance degree or character of the second component, and the second component isused to induce an ordering, through the first component, over the third components which are linguistic variables and then aggregated. It is shown that the induced linguistic ordered weighted harmonic mean(ILOWHM) operator and linguistic ordered weighted harmonic mean(LOWHM) operator are the special cases of the GILOWHM operator. Based on the GILOWHM and LWHM operators, we develop an approach to group decision making with linguistic preference relations. Finally, a numerical example is used to illustrate the applicability of the proposed approach.

• Journal of the Korean housing association
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• v.18 no.1
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• pp.35-42
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• 2007

This study aims at examining the actual conditions of lighting environment and the consciousness and responses of residents with the living room of apartment house, grasping the problems of existing lighting methods, offering the lighting environment design standard in harmony with the various demands of residents, functions of living room space, life in living room and interior decoration and then pursuing the comfortable living environment. As the scope and methods of research for these, existing research methods are examined through the consideration of preceding researches and the basic outline of this research is constructed. Questionnaire survey is conducted with six apartment complexes including Kumho district, Munhung district, Sangmu district, Unnam district, Ilkok district and Chumdan district, the problems and improvements of lighting environment conditions are examined, conception and selection of lighting equipment design image are made, lighting equipment design of living room is suggested and the expected effects of lighting equipment ordering method are arranged as follows. As a result of examining and analyzing the lighting environment of living room in existing apartment houses, it is known that the conditions of existing lighting environment considered uniform lighting plan for functional sides of each room which didn't consider the various living behaviors and preference of residents and while the degree of interior decoration design is actually positive. Accordingly it seems that the lighting equipment ordering which considers the various preferences of residents is applied as the means for comfortable lighting environment, the interior environmental mood will be greatly improved.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.219-227
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• 2008

As found in research on constraint satisfaction problems, the choice of variable ordering heuristics is crucial for effective solving of constraint optimization problems. For the special problems such as energy-efficient clustering in heterogeneous wireless sensor networks, in which cluster heads have an inclination to be near a base station, we propose a new approach based on the static preferences variable orderings and provide a pnode heuristic algorithm for a specific application. The pnode algorithm selects the next variable with the highest Preference. In our problem, the preference becomes higher when the cluster heads are closer to the optimal region, which can be obtained a Priori due to the characteristic of the problem. Since cluster heads are the most dominant sources of Power consumption in the cluster-based sensor networks, we seek to minimize energy consumption by minimizing the maximum energy dissipation at each cluster heads as well as sensor nodes. Simulation results indicate that the proposed approach is more efficient than other methods for solving constraint optimization problems with static preferences.

• Journal of Korea Multimedia Society
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• v.18 no.8
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• pp.968-979
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• 2015

In this paper, we study a vibration bell App which shows waiting sequence numbers by utilizing smartphones to solve an inconveniently long waiting time from ordering to getting foods in restaurants and coffee shops. Unlike existing independently developed hardware and software, the vibration bell App is developed to manage and integrate customer management service, POS service in shops, and group shop management services. The functions of the vibration bell App include two-way communications based on NFC- issuing waiting sequence numbers and electronic coupon, showing event information, and transferring user information. Furthermore, the user's personal information is minimized by recognizing the pre-existing information of the user's smartphone. Replacing the shop's vibration bell system with the vibration bell APP, the shops can reduce the cost of construction and maintenance by up to 1/10, compared to the cost of for existing vibration bell systems. Moreover, the customer's preference and current sales trend can be easily figured out. Thus, it will have a great effect on the future marketing strategies.

• The Korean Journal of Food And Nutrition
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• v.33 no.3
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• pp.356-361
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• 2020

This study was performed to provide fundamental data on the convenience foods purchase according to the food-related lifestyle. This study was conducted on 398 Chinese international students residing in Gyeonggi area between October and December 2019. Among the total 373 survey subjects, gender was 183 male students (49.1%) and 190 female students (50.9%). This study was conducted by questionnaire method with reference to previous studies. There are significant differences in economic pursuit and taste pursuit for delivery food use, economic pursuit and taste pursuit for delivery food information, health pursuit and taste pursuit in delivery food ordering method, and economic pursuit and convenience pursuit for delivery food use (p<0.05). Delivery food usage time was significantly different in convenience pursuit, health pursuit, eating out pursuit, and taste pursuit (p<0.05), and the delivery food preference menu was significantly different in economic pursuit, health pursuit, eating out pursuit, and taste pursuit (p<0.05). The menu positive factors among satisfaction factors showed statistically significant differences in economic pursuit (β=0.188, t=3.531) and health pursuit (β=0.160, t=3.099) among food related lifestyle factors. In conclusion, this study presented the desirable direction of delivery food usage in Chinese students.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.879-891
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• 2021

With improvements in living conditions, an increasing number of people are choosing to spend their time traveling. Comfortable tour routes are affected by the season, time, and other local factors. In this paper, the influencing factors and principles of scenic spots are analyzed, a model used to find the available routes is built, and a multi-route choice model based on a game theory utilizing a path recommendation weight is developed. A Monte Carlo analysis of a tourist route subjected to fixed access point conditions is applied to account for uncertainties such as the season, start time, end time, stay time, number of scenic spots, destination, and start point. We use the Dijkstra method to obtain multiple path plans and calculate the path evaluation score using the Monte Carlo method. Finally, according to the user preference in the input path, game theory generates path ordering for user choice. The proposed approach achieves a state-of-the-art performance at the pseudo-imperial palace. Compared with other methods, the proposed method can avoid congestion and reduce the time cost.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.46-53
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• 2019

When a partitioned structure is derived from a data set using a clustering algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of data. This problem is known as the order bias problem. Many algorithms in machine learning fields try to achieve optimized result from available training and test data. Optimization is determined by an evaluation function which has also a tendency toward a certain goal. It is inevitable to have a tendency in the evaluation function both for efficiency and for consistency in the result. But its preference for a specific goal in the evaluation function may sometimes lead to unfavorable consequences in the final result of the clustering. To overcome this bias problems, the first clustering process proceeds to construct an initial partition. The initial partition is expected to imply the possible range in the number of final clusters. We apply the data centric sorting to the data objects in the clusters of the partition to rearrange them in a new order. The same clustering procedure is reapplied to the newly arranged data set to build a new partition. We have developed an algorithm that reduces bias effect resulting from how data is fed into the algorithm. Experiment results have been presented to show that the algorithm helps minimize the order bias effects. We have also shown that the current evaluation measure used for the clustering algorithm is biased toward favoring a smaller number of clusters and a larger size of clusters as a result.