• International Journal of Aerospace System Engineering
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• 제2권2호
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• pp.29-33
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• 2015

The multidisciplinary design optimization (MDO) of a launch vehicle (LV) with a hybrid rocket engine (HRE) was carried out to investigate the ability of an HRE for a single-stage LV. The non-dominated sorting genetic algorithm-II (NSGA-II) was employed to solve two design problems. The design problems were formulated as two-objective cases involving maximization of the downrange distance over the target flight altitude and minimization of the gross weight, for two target altitudes: 50.0 km and 100.0 km. Each objective function was empirically estimated. Several non-dominated solutions were obtained using the NSGA-II for each design problem, and in each case, a trade-off was observed between the two objective functions. The results for the two design problem indicate that economical performance of the LV is limited with the HRE in terms of the maximum downrange distances achievable. The LV geometries determined from the non-dominated solutions were examined.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.80-96
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• 2022

Nowadays, artificial intelligence promotes the rapid development of skin cancer detection technology, and the federated skin cancer detection model (FSDM) and dual generative adversarial network model (DGANM) solves the fragmentation and privacy of data to a certain extent. To overcome the problem that the many-objective evolutionary algorithm (MaOEA) cannot guarantee the convergence and diversity of the population when solving the above models, a many-objective evolutionary algorithm based on integrated strategy (MaOEA-IS) is proposed. First, the idea of federated learning is introduced into population mutation, the new parents are generated through sub-populations employs different mating selection operators. Then, the distance between each solution to the ideal point (SID) and the Achievement Scalarizing Function (ASF) value of each solution are considered comprehensively for environment selection, meanwhile, the elimination mechanism is used to carry out the select offspring operation. Eventually, the FSDM and DGANM are solved through MaOEA-IS. The experimental results show that the MaOEA-IS has better convergence and diversity, and it has superior performance in solving the FSDM and DGANM. The proposed MaOEA-IS provides more reasonable solutions scheme for many scholars of skin cancer detection and promotes the progress of intelligent medicine.

• 사상체질의학회지
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• 제4권1호
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• pp.107-148
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• 1992

The definitions of Four Constitution (Tae-Yang-In, So-Yang-In, Tae-Eum-In, So-Eum-In) in Four-Beginning-Theory (四端論) and Distribution-Theory (擴充論) were morphologically diagrammatized. the method of measuring the five parts came from the diagrams. The five parts are the followings; Top-Line is the distance between Rt. & Lt.Shoulders. Bosom-Line is the horizontal distance passing through the Rt. & Lt.nipples. Stomach-Line is the horizontal distance passing through the Rt. & Lt. acupuncture point Bool-Yong (不容穴). Navel-Line is the horizontal distance passing through the navel. Bottom-Line is the distance between the Rt.& Lt. anterior superior iliac spines. According to it, 311 people were measured in the clinic. Through the measured numerical values, to find out the objective propriety of the morphological diagrammings and the discriminating ability of Four Constitutions by the method of measuring the five, the author tried this study and got the following results. 1. On the ground of the Internal Organs-Theory (臟腑論), the definitions of Four Constitutions were classified and diagrammatized step by step and it was possible to draw the morphological graphs satisfying the reasonable condition objectively. 2. It was found that the graphings by Mean, Standard Deviation and 95% Confidence Interval for mean of the numerical values of five measured parts and the morphological diagrammings of the definitions in Four-Beginning Theory and Distribution-Theory drove to the same figures. 3. Through the method of the Analysis of variance and the Discriminant Analysis, it was discovered that the measured numerical values of five parts could distinguish the Four Constitutions. 4. Tae-Yang-In has the longest Top-Line and the shortest Bottom-Line. The Mean head of Confidence Interval from Top to Bottom is downwardly decreased at the rate of 3.7, 1.5, 1.8, 3.4. 5. So-Yang-In has the longest Top-Line and the shortest Bottom-Line. The Mean head of confidence Interval from Top to Bottom is downwardly decreased at the rate of 2.3, 1.5, 1.5, 1.1. 6. Tae-Eum-In has the longest Navel-Line. The Mean head of Confidence Interval from Navel to Top is upwardly decreased at the rate of 0.5, 0.4, 2.5 and downwardly decreased at the rate of 2.7 between Navel and Bottom. 7. So-Eum-In has the longest Bottom-Line. The Mean head of Confidence Interval from Bottom to Top is upwardly decreased at the rate of 1.1, 1.1, 1.8, 2.3. From the above findings, it was possible to draw the morphological graphings satisfying the objectively reasonable conditions in the definitions of Four-Beginning-Theory and Distribution-Theory and it was proved that the results of the Positive Analysis, carried with the measured numerical values of five parts from the diagramming, could show the objective propriety of the morphological graphings and the discerning ability of Four Constitutions by the method of measuring the five parts.

• 한국콘텐츠학회논문지
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• 제15권7호
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• pp.21-29
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• 2015

본 논문은 목적이 네 개 이상인 고도 다목적 문제(many-objective problem)에서의 의사 결정을 위한 새로운 이중(two-tier) 최적화 접근법을 제안한다. 목적의 개수가 증가할수록, 특히 네 개 이상부터는, 전체해(solution) 중에서 파레도 최적해(Parero-optimal solution)가 차지하는 비율이 기하급수적으로 증가한다. 그래서 일반 다목적 문제와는 달리, 의사 결정을 하는데 단순히 파레토 최적 해만을 찾는 것으로는 충분하지 않고, 찾은 파레토 최적 해들 중에서도 상대적으로 좀 더 선호하는 해들을 가려내는 것이 필요하다. 제안하는 접근법에서는 추가적인 최적화 단계를 추가함으로써 사용자의 선호도를 균형있게 반영하는 방향으로 파레토 최적해들을 찾는다. 이러한 2차 최적화는 관련된 2차 목적들을 수반하게 되는데, 2차 목적으로는 광역평가값과 혼잡 거리를 사용하였다. 광역평가값과 혼잡 거리는 각각 사용자의 선호도와 다양성을 대변하는 척도이다. 제안한 접근법의 우수성을 보이기 위해서는 잘 알려진 검증 함수들을 활용하는데, 같은 함수에 대해 제안한 접근법을 적용한 경우와 적용하지 않은 경우의 결과를 비교한다. 제안한 접근법을 적용함으로써 기존보다 사용자의 선호도를 잘 반영하면서 동시에 우수하고 다양한 의사 선택이 가능하다.

• 유통과학연구
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• 제13권8호
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• pp.73-80
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• 2015

Purpose - This study's objective is to analyze the content of the communications between users and producers based on the construal level theory. User generated content refers to content created in an online-based service where users and producers communicate interactively with each other. In a user generated content platform, the messages sent and received between the many players, the users and producers who use the content, may be analyzed at the psychological level based on construal level theory. Research design, data, and methodology - This study gathered user and producer participation through a snow-bowling sampling method. The data analyzed includes 125 video clips and 2,912 comments. The period of the data collection was from September 2014 to December 2014. The collected data was analyzed using a t-test and two-way ANOVA. Results - This study obtained the following research results. First, users who were a short social distance from producers responded to user participatory activities stated in concrete language rather than abstract language. In contrast, users who were at a longer social distance from producers tended to respond to the content requesting user participation through abstract language. Second, if users and producers were at a short social distance from each other, user preference increased more when a producer response to user participation was expressed concretely rather than when it was expressed abstractly. In contrast, if the users were at a longer social distance, users' preferences increased more when producer response was expressed abstractly rather than when it was expressed concretely. Conclusion - This study found that the effect of suitability, in which the social distance and the content were in congruence at the construal level, could be observed. Therefore, based on this, academic and practical implications were drawn. The three main insights of the study are as follows. First, firms can use psychological factors to analyze the message content of users in their distribution platforms. This study reveals managerial implications for marketing managers who want to take make use of this analysis of user and producer communications. This study indicates that the main factors include the concrete and abstract scores and social distance between users and producers. Second, we also provide the strategic guidelines to maximizing user preferences and other outcomes. The main dependent variable in this study is the user preference shift; the variable increases through the congruence effect; and the construal level is determined by the social distance between the users and producers and the type of producer response. The outcomes here from users can be utilized to develop several systemic strategies. One process to use the outcomes could be: (1) firms could measure the users and producers social distance; (2) calculate the concreteness or abstractness of the messages; and, (3) predict the user preference outcomes by the congruence between user and producer social distance and the abstractness or concreteness of the message content.

• 환경영향평가
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• 제17권2호
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• pp.133-141
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• 2008

The loss, alteration, and fragmentation of habitat have led to a reduction of biodiversity. The growing awareness of the negative effects of habitat fragmentation on natural systems has resulted in conservation strategy that is concerned with not only population and habitat level but also ecosystem and landscape level. Especially, ecological network to link core areas or major habitat patches is one of the most important issues. Recently, landscape connectivity is increasingly used in decision making for fragmented landscape management in order to conserve the biodiversity in the regional scale. The objective of this study was to find potential forest as a ecological corridor in Go-yang city, Gyung-gi province using cost-distance modelling method that can measure connectivity based on animal movement. 'Least cost-distance' modelling based on functional connectivity can be useful to establish ecological network and biodiversity conservation plan. This method calculates the distance modified with the cost to move between habitat patches based on detailed geographical information on the landscape as well as behavioural aspects of the animal movement. The least cost-distance models are based on two biologically assumptions: (1) dispersers have complete knowledge of their surroundings, and (2) they do select the least cost route from this information. As a result of this study, we can find wildlife moving route for biodiversity conservation. The result is very useful for long-term aspect of biodiversity conservation plan in regional scale, because this is reflection of geographical information and behavioural aspects of the animal movement.

• Journal of Korean Neurosurgical Society
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• 제52권4호
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• pp.300-305
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• 2012

Objective : The purpose of this study is to elucidate the anatomic relationships between the uncinate process and surrounding neurovascular structures to prevent possible complications in anterior cervical surgery. Methods : Twenty-eight formalin-fixed cervical spines were removed from adult cadavers and were studied. The authors investigated the morphometric relationships between the uncinate process, vertebral artery and adjacent nerve roots. Results : The height of the uncinate process was 5.6-7.5 mm and the width was 5.8-8.0 mm. The angle between the posterior tip of the uncinate process and vertebral artery was $32.2-42.4^{\circ}$. The distance from the upper tip of the uncinate process to the vertebral body immediately above was 2.1-3.3 mm, and this distance was narrowest at the fifth cervical vertebrae. The distance from the posterior tip of the uncinate process to the nerve root was 1.3-2.0 mm. The distance from the uncinate process to the vertebral artery was measured at three different points of the uncinate process : upper-posterior tip, lateral wall and the most antero-medial point of the uncinate process, and the distances were 3.6-6.1 mm, 1.7-2.8 mm, and 4.2-5.7 mm, respectively. The distance from the uncinate process tip to the vertebral artery and the angle between the uncinate process tip and vertebral artery were significantly different between the right and left side. Conclusion : These data provide guidelines for anterior cervical surgery, and will aid in reducing neurovascular injury during anterior cervical surgery, especially in anterior microforaminotomy.

• Asian Pacific Journal of Cancer Prevention
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• 제17권11호
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• pp.5025-5030
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• 2016

The objective of this study was to clarify how distance from place of residence to the nearest specialist cancer hospital affects the survival of lung cancer patients and the treatment received. For all patients diagnosed with lung cancer in the Aomori cancer registry database for the period from 2009 to 2011 (n=3,986). The distance to the treating hospital was measured as the straight line from a person's place of residence, and compared with findings from the Ederer II method for calculating relative survival. Information on treatments given was obtained by data extraction. We defined a hospital having respiratory medicine as specialist, while all private hospitals and clinics were included in the general category. Patients attending specialist hospitals numbered 2,548 (67.0%), and those treated at general institutions were 1,255 (33.0%). The patients who had the lowest relative survival with localized lesions lived <20 km from general hospitals and clinics. With more advanced stages, relative survival of those living <20 km from a specialist hospital was the lowest. Although the survival rate was not affected by the distance between place of residence and hospital, even when patients are diagnosed at a localized stage at a general hospital or clinic within 20 km from their home, they did survive longer in comparison with patients diagnosed at a specialist hospital.

• Radiation Oncology Journal
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• 제33권1호
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• pp.42-49
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• 2015

Purpose: In order to keep the acceptable level of the radiation oncology linear accelerators, it is necessary to apply a reliable quality assurance (QA) program. Materials and Methods: The QA protocols, published by authoritative organizations, such as the American Association of Physicists in Medicine (AAPM), determine the quality control (QC) tests which should be performed on the medical linear accelerators and the threshold levels for each test. The purpose of this study is to increase the accuracy and precision of the selected QC tests in order to increase the quality of treatment and also increase the speed of the tests to convince the crowded centers to start a reliable QA program. A new method has been developed for two of the QC tests; optical distance indicator (ODI) QC test as a daily test and gantry angle QC test as a monthly test. This method uses an image processing approach utilizing the snapshots taken by the CCD camera to measure the source to surface distance (SSD) and gantry angle. Results: The new method of ODI QC test has an accuracy of 99.95% with a standard deviation of 0.061 cm and the new method for gantry angle QC has a precision of $0.43^{\circ}$. The automated proposed method which is used for both ODI and gantry angle QC tests, contains highly accurate and precise results which are objective and the human-caused errors have no effect on the results. Conclusion: The results show that they are in the acceptable range for both of the QC tests, according to AAPM task group 142.

• 산업경영시스템학회지
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• 제41권2호
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• pp.1-8
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• 2018

K-means algorithm is one of the most popular and widely used clustering method because it is easy to implement and very efficient. However, this method has the limitation to be used with fixed number of clusters because of only considering the intra-cluster distance to evaluate the data clustering solutions. Silhouette is useful and stable valid index to decide the data clustering solution with number of clusters to consider the intra and inter cluster distance for unsupervised data. However, this valid index has high computational burden because of considering quality measure for each data object. The objective of this paper is to propose the fast and simple speed-up method to overcome this limitation to use silhouette for the effective large-scale data clustering. In the first step, the proposed method calculates and saves the distance for each data once. In the second step, this distance matrix is used to calculate the relative distance rate ($V_j$) of each data j and this rate is used to choose the suitable number of clusters without much computation time. In the third step, the proposed efficient heuristic algorithm (Group search optimization, GSO, in this paper) can search the global optimum with saving computational capacity with good initial solutions using $V_j$ probabilistically for the data clustering. The performance of our proposed method is validated to save significantly computation time against the original silhouette only using Ruspini, Iris, Wine and Breast cancer in UCI machine learning repository datasets by experiment and analysis. Especially, the performance of our proposed method is much better than previous method for the larger size of data.