• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5464-5484
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• 2016

Few samples face recognition has become a highly challenging task due to the limitation of available labeled samples. As two popular paradigms in face image representation, sparse component analysis is highly robust while parts-based paradigm is particularly flexible. In this paper, we propose a probabilistic generative model to incorporate the strengths of the two paradigms for face representation. This model finds a common spatial partition for given images and simultaneously learns a sparse component analysis model for each part of the partition. The two procedures are built into a probabilistic generative model. Then we derive the score function (i.e. feature mapping) from the generative score space. A similarity measure is defined over the derived score function for few samples face recognition. This model is driven by data and specifically good at representing face images. The derived generative score function and similarity measure encode information hidden in the data distribution. To validate the effectiveness of the proposed method, we perform few samples face recognition on two face datasets. The results show its advantages.

• Fire Science and Engineering
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• v.34 no.2
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• pp.14-21
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• 2020

This paper presents the study of a fire risk to the backside of two miniatures of ISO 9705 2/5 using a lightweight partition for indoor space division and reproduction of the ISO 9705 test. An SGP partition, stud partition, glass wool panel, urethane foam panel, sandwich panel, and glass partition were selected as the test specimens, which are frequently used in construction. According to the ISO 9705 test standard, stabilization was achieved using a measuring device that recorded data before the ignition of a burner and continued recording for 120 s thereafter. After ignition was achieved, the power was increased to 300 kW for 600 s and then reduced to 100 kW for 600 s. The specimens were subsequently observed for 180 s, and the fire risk to the backside and the fire pattern of the wall unit were analyzed. Owing to the amount of heat generated by the ignition source, the maximum temperature of the backside was observed to be 67.7 ℃ for the SGP partition, 55.1 ℃ for the stud partition, 52.4 ℃ for the glass wool panel, 727.4 ℃ for the sandwich panel, 561 ℃ for the urethane foam panel, and 630.5 ℃ for the glass partition. In the cases of the sandwich and urethane foam panels, the explosion of flammable gas occurred by virtue of fusion of the interior materials. The reinforced glass was fractured owing to the temperature difference between the heat- and nonheat-responsive parts. Ultimately, the fire risk to the nearby section room was deemed to be high.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.454-463
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• 2013

Upon changing architectural education system into 5-year program, the design studio in university should meet the requirement in order to acquire the accredition. This study investigates on student' perceptions and responses, according to the configuration(open, mixed, closed), to their studio environment. Results and suggestions are as follows for all types: First, there should be space for individual activities for the student: Second, excluding space for excluding space for the individual work, seperated area must be provided for co-operative work, such as making models; Third, a clear territorial distintion between the individual and the co-work space should be able to set by the students, using. for instance, movable partition or corridor; Fourth, however, in line with the types, a seperated lecture or seminar room in the open type, a device to prevent distraction such as noise in the mixed type, and more space for co-work in the closed type are also suggested.

• Fire Science and Engineering
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• v.33 no.1
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• pp.60-68
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• 2019

The paper reports the characteristics of conduction heat transfer to the backside part according to the heating temperature of a composite wall in a lightweight partition used for indoor space compartments. Stud partitions, SGP partitions, sandwich panels, urethane foam panels, and glass wool panels. which are generally used as light-weight partition walls, were selected as experiment samples, and the characteristics of conduction heat transfer to the backside part as the top surface were analyzed by applying heating temperatures of $200^{\circ}C$, $300^{\circ}C$, $400^{\circ}C$, and $500^{\circ}C$ to the bottom surface for 1800 s. According to the experimental results, the maximum backside temperatures at the maximum heating temperature of $500^{\circ}C$ was $51.6^{\circ}C$, $63.6^{\circ}C$, $317.2^{\circ}C$, $124.9^{\circ}C$, and $42.2^{\circ}C$ for the stud partition, SGP partition, sandwich panel, urethane foam panel, and glass wool panel, respectively. The maximum conduction heat- transfer rates at $500^{\circ}C$ were 17.16 W, 18.39 W, 136.65 W, 14.34 W, and 5.57 W for the stud partition, SGP partition, sandwich panel, urethane foam, and glass wool panel, respectively.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1171-1180
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• 2015

Multidimensional scaling (MDS) is a graphical technique of multivariate analysis to display dissimilarities among individuals into low-dimensional space. We often have two kinds of MDS which are metric MDS and non-metric MDS. Metric MDS can be applied to quantitative data; however, we need additional information about variables because it only shows relationships among individuals. Gower (1992) proposed a method that can represent variable information using trajectories of the pseudo-points for quantitative variables on the metric MDS space. We will call his method a 'replacement method'. However, the trajectory can not be represented even though metric MDS can be applied to binary data when we apply his method to binary data. Therefore, we propose a method to represent information of binary variables using pseudo-points called a 'partition method'. The proposed method partitions pseudo-points, accounting both the rate of zeroes and ones. Our metric MDS using the proposed partition method can show the relationship between individuals and variables for binary data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1262-1265
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• 1993

The paper discusses the problem of controlling systems with a very high number of input variables effectively by fuzzy If . . . then rules. The basic idea is the partition of the state space into domains, which step can be done even iteratively several times, and every domain has its own sub rule base referring to a considerably lower number of variables than the original space. In this manner the number of necessary rules is drastically reduced and time complexity of the control algorithm remains acceptable.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.04a
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• pp.520-521
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• 2014

• Journal of KIISE:Databases
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• v.31 no.6
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• pp.596-608
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• 2004

A lot of work has been done to reduce disk access time in I/O intensive systems, which store and handle massive amount of data, by distributing data across multiple disks and accessing them in parallel. Most of the previous work has focused on an efficient mapping from a grid cell to a disk number on the assumption that data space is regular grid-like partitioned. Although we can achieve good performance for low-dimensional data by grid-like partitioning, its performance becomes degenerate as grows the dimension of data even with a good disk allocation scheme. This comes from the fact that they partition entire data space equally regardless of distribution ratio of data objects. Most of the data in high-dimensional space exist around the surface of space. For that reason, we propose a new declustering algorithm based on the partitioning scheme which partition data space from the surface. With an unbalanced partitioning scheme, several experimental results show that we can remarkably reduce the number of data blocks touched by a query as grows the dimension of data and a query size. In this paper, we propose disk allocation schemes based on the layout of the resultant data blocks after partitioning. To show the performance of the proposed algorithm, we have performed several experiments with different dimensional data and for a wide range of number of disks. Our proposed disk allocation method gives a performance within 10 additive disk accesses compared with strictly optimal allocation scheme. We compared our algorithm with Kronecker sequence based declustering algorithm, which is reported to be the best among the grid partition and mapping function based declustering algorithms. We can improve declustering performance up to 14 times as grows dimension of data.

• Journal of the Korean Society of Industry Convergence
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• v.12 no.3
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• pp.121-128
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• 2009

This study is for getting sacrificial service, discussing process of sacrificial rituals and understanding the composition of space in Dong-gok Jaesa. For these things, we're arranged for exact blueprint through actual survey and analyzed the architectural features. Dong-gok Jaesa has features which show centripetal space organization with strong closing sparsely. This is intended for sincerity during ritual which is processed without obstruction. This is a mixed form which is unified both straight dwelling and Jung Dang Hyeop Sil type. And this is for all functions which is necessary for Jaesa architecture in only one building. And this is used with organizing technique for space utility with connection of compartments and various enlargement and partition. Through these things, even though it is not a big Jaesa, it shows that this is Korea traditional composition of space technique according to several purposes.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.441-447
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• 2000

Automatic word spacing is needed to solve the automatic indexing problem of the non-spaced documents and the space-insertion problem of the character recognition system at the end of a line. We propose a word spacing algorithm that automatically finds out word spacing positions. It is based on the recognition of Eojeol components by using the sentence partition and bidirectional longest-match algorithm. The sentence partition utilizes an extraction of Eojeol-block where the Eojeol boundary is relatively clear, and a Korean morphological analyzer is applied bidirectionally to the recognition of Eojeol components. We tested the algorithm on two sentence groups of about 4,500 Eojeols. The space-level recall ratio was 97.3% and the Eojeol-level recall ratio was 93.2%.