• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.15-24
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• 2006

The early childhood is a pivotal period for the development of creativity since creative imaginary is rich at the age from 4 to 4.5 years old, The purpose of this study is to examine the relationships between children's creativity, playfulness and multiple intelligence. 91 children(41 boy, 50 girls) attending preschool in jeon-ju city were participated in this research, The age of children was 6 years(average 73.7 months), After collecting the data to find the connections between children's creativity, playfulness and multiple intelligence from the subjects' data using the SPSS WIN 10.0 program, along with t-test, ANOVA and Pearson's correlation in this paper. 1. There was significant correlation between children's playfulness and creativity. Intelligence spontaneousness the element of the playfulness has a correlation with Creativity strengths, Elaboration. In addition, Resistance to Premature Closure has a correlation with social spontaneity, And Originality has a correlation with the Expression of Pleasure the element of the playfulness, 2. There was a significant positive correlation between children's multiple intelligence(MI) and creativity, Fluency the element of creativity has a correlation with Interpersonal intelligence the element of multiple intelligence: And Originality has a correlation with Bodily-kinesthetic intelligence, Intrapersonal intelligence the element of MI. In addition, Abstraction of Titles has a correlation with Intrapersonal intelligence. 3. There was a little correlation between children's MI and playfulness. The Expression of Pleasure has a correlation with bodily-kinesthetic intelligence, Based on the current study, the relationships between creativity, playfulness, and multiple intelligence could be identified. Especially, creativity was significantly correlated with playfulness and multiple intelligence of early childhood. Therefore, it was found that creativity of toddler might be essential factor for the development of toddler's cognitivity.

• Asian Journal of Turfgrass Science
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• v.8 no.3
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• pp.137-147
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• 1994

We have established a high-frequency plant regeneration system via organogenesis from mature seed of Korean lawngrass(Zoysia japonica Steud.). The effects of 2,4-dichiorophenoxy acetic acid (2,4-D), 6-furfuryl amino purine (kinetin), $\alpha$-naphthaiene acetic acid (NAA), N6-benzyl amino pu-rine (BAP), and casein hydrolysate (CR) on cailus induction and multiple shoot formation on ex-posure to light were evaluated. Callus produced on the Murashige and Skoog (MS) medium containing 2,4-D and kinetin had high organogenesis potency. A single addition of 1.0 mg $L-^1$ 2,4-D significantly induced callus. Also, 1.0 mg L-$^1$ 2,4-D, with the addition of 0.1 mg $L-^1$ kinetin highly enlianced callus induction. The trend of cailus induction was also found on mediurn containing 0.1 mg $L-^1$ BAP with 1.0 mg $L-^1$2,4-D, and 1 g $L-^1$ CR with the addition of 1.0 mg $L-^1$ 2,4-D. However, NAA was no effective on callus formation. The growth of root was significantly high in the presence of 0.1 mg $L-^1$ kinetin compared to other concentrations. Over 2 mg $L-^1$ kinetin highly lengthened roots. Fresh weight of plantlet was highest on medium containing 0.1 mg $L-^1$ 2,4-D. Also, on medium containing 0.1 mg $L-^1$ BAP, fresh weight of piantlet was highly enhanced. BAP was significantly effective on multiple shoot formation, particularly when 2.0 mg $L-^1$ was added with 0.1 mg $L-^1$ 2,4-D. Callus induction and multiple shoot formation were achieved on MS basal medium containing 1.0 g $L-^1$ CH.

• Korean Journal of Veterinary Pathology
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• v.7 no.1
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• pp.67-69
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• 2003

Three mature layer chickens from a farm in which chickens showed green diarrhea, cyanosis, lethargy, loss of appetite were pathologically examined. Grossly, multiple variable sized caseous nodules were detected in the liver, intestinal serosa and mesentery. In addition, parathypoid nodules in the liver and fibrous serositis on the several peritoneal organs and tissues were noticed. One of spleens had multiple infarction areas. Histologically caseous nodules consisted of central caseous core and peripheral epithelioid cells overlying the fibrous connective tissue. Multinucleated giant cells were scattered between the epithelioid cells and fibrous connective tissue. In these nodules Gram negative cocobacilus bacterial colonies were present, whereas Periodic Schiff reaction and Ziehl-Neelsen stain detected neither fungi nor acid fast bacteria. From these results multiple granulomas might be induced by Escherichia coli. In addition, severe Ascafdiodf and Salmonellosis were coinfected in these chickens.

• Neonatal Medicine
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• v.15 no.2
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• pp.200-206
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• 2008

Human chromosome 9 is characterized by a high degree of morphologic heteromorphisms, including variation in the size of the heterochromatin. We present a case of a de novo short arm addition of chromosome 9, [46, XY, add(9)(p13)], associated with multiple anomalies, including trigonocephaly, upward slant of the palpebral fissures, patent ductus arteriosus, pulmonary hypertension, hypertrophic cardiomyopathy, umbilical hernia, ambiguous genitalia, and sensorineural hearing and visual loss. This mutation affects the pericentric region of the heterochromatin. This patient exhibited a clinically important breakpoint of the heterochromatic region of chromosome 9 short arm and the associated anomalies.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.217-231
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• 2015

A novel fuzzy learning framework that employs fuzzy inference to solve the problem of Multiple Instance Learning (MIL) is presented. The framework introduces a new class of fuzzy inference systems called Multiple Instance Mamdani Fuzzy Inference Systems (MI-Mamdani). In multiple instance problems, the training data is ambiguously labeled. Instances are grouped into bags, labels of bags are known but not those of individual instances. MIL deals with learning a classifier at the bag level. Over the years, many solutions to this problem have been proposed. However, no MIL formulation employing fuzzy inference exists in the literature. Fuzzy logic is powerful at modeling knowledge uncertainty and measurements imprecision. It is one of the best frameworks to model vagueness. However, in addition to uncertainty and imprecision, there is a third vagueness concept that fuzzy logic does not address quiet well, yet. This vagueness concept is due to the ambiguity that arises when the data have multiple forms of expression, this is the case for multiple instance problems. In this paper, we introduce multiple instance fuzzy logic that enables fuzzy reasoning with bags of instances. Accordingly, a MI-Mamdani that extends the standard Mamdani inference system to compute with multiple instances is introduced. The proposed framework is tested and validated using a synthetic dataset suitable for MIL problems. Additionally, we apply the proposed multiple instance inference to fuse the output of multiple discrimination algorithms for the purpose of landmine detection using Ground Penetrating Radar.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.3
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• pp.27-43
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• 2011

This paper investigates properties of the newsvendor problem under a schedule involving progressive multiple discounts compared with the standard newsvendor problem under a no-discounts schedule. Unlike most conventional approaches using the criticial fractile to analyze the retailer and/or supplier behavior(s) in the newsvendor problem, our approach uses riskless profit. From the properties revealed through a series of computational experiments, two conjectures regarding the relationship between the expected profits of both newsvendor problems as a generalization over Khouja's argument (1995) are raised. Those conjectures encourage newsvendors who may face budget or warehouse capacity restriction to use the extended model under a multiple-discounts schedule rather than the standard model with no-discounts schedule because they apply for every order quantity as well as the optimal order quantity. In addition to the conjectures, some insightful results are found to justify the implementation of a multiple-discounts schedule from the computational experiments and a new interpretation for implementation of a multiple-discounts schedule that has not been addressed in Khouja is provided.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.216-239
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• 2021

The present work addresses the challenging problem of coordinating power allocation with interference management in multi-robot networks by applying the promising expansion capabilities of multiple-input multiple-output (MIMO) and full duplex systems, which achieves it for maximizing the throughput of networks under the impacts of Doppler frequency shifts and external jamming. The proposed power allocation with interference coordination formulation accounts for three types of the interference, including cross-tier, co-tier, and mixed-tier interference signals with cluster head nodes operating in different full-duplex modes, and their signal-to-noise-ratios are respectively derived under the impacts of Doppler frequency shifts and external jamming. In addition, various optimization algorithms, including two centralized iterative optimization algorithms and three decentralized optimization algorithms, are applied for solving the complex and non-convex combinatorial optimization problem associated with the power allocation and interference coordination. Simulation results demonstrate that the overall network throughput increases gradually to some degree with increasing numbers of MIMO antennas. In addition, increasing the number of clusters to a certain extent increases the overall network throughput, although internal interference becomes a severe problem for further increases in the number of clusters. Accordingly, applications of multi-robot networks require that a balance should be preserved between robot deployment density and communication capacity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1286-1306
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• 2022

Searchable symmetric encryption (SSE) provides a safe and effective solution for retrieving encrypted data on cloud servers. However, the existing SSE schemes mainly focus on single keyword search in single client, which is inefficient for multiple keywords and cannot meet the needs for multiple clients. Considering the above drawbacks, we propose a scheme enabling dynamic multi-client and Boolean query in searchable symmetric encryption for cloud storage system (DMC-SSE). DMC-SSE realizes the fine-grained access control of multi-client in SSE by attribute-based encryption (ABE) and novel access control list (ACL), and supports Boolean query of multiple keywords. In addition, DMC-SSE realizes the full dynamic update of client and file. Compared with the existing multi-client schemes, our scheme has the following advantages: 1) Dynamic. DMC-SSE not only supports the dynamic addition or deletion of multiple clients, but also realizes the dynamic update of files. 2) Non-interactivity. After being authorized, the client can query keywords without the help of the data owner and the data owner can dynamically update client's permissions without requiring the client to stay online. At last, the security analysis and experiments results demonstrate that our scheme is safe and efficient.

• ETRI Journal
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• v.45 no.5
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• pp.768-780
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• 2023

The application of unmanned aerial vehicles (UAVs) has recently attracted considerable interest in various areas. A three-dimensional multiple-input multiple-output concentric two-hemisphere model is proposed to characterize the scattering environment around a vehicle in an urban UAV-to-vehicle communication scenario. Multipath components of the model consisted of lineof-sight and single-bounced components. This study focused on the key parameters that determine the scatterer distribution. A time-variant process was used to analyze the nonstationarity of the proposed model. Vital statistical properties, such as the space-time-frequency correlation function, Doppler power spectral density, level-crossing rate, average fade duration, and channel capacity, were derived and analyzed. The results indicated that with an increase in the maximum scatter radius, the time correlation and level-crossing rate decreased, the frequency correlation function had a faster downward trend, and average fade duration increased. In addition, with the increase of concentration parameter, the time correlation, space correlation, and level-crossing rate increased, average fade duration decreased, and Doppler power spectral density became flatter. The proposed model was compared with current geometry-based stochastic models (GBSMs) and showed good consistency. In addition, we verified the nonstationarity in the temporal and spatial domains of the proposed model. These conclusions can be used as references in the design of more reasonable communication systems.

• The Korean Journal of Community Living Science
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• v.25 no.1
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• pp.75-87
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• 2014

This study examines the relationships between elementary school students' multiple intelligences, prosocial behaviors, and school adjustments. The sample included 367 students from two elementary schools, and data were collected using the multiple-intelligence index, the prosocial behavior inventory, and the school adjustment index. A statistical analysis was conducted using t-test, a one-way ANOVA (Duncan's test), and a multiple regression analysis. According to the results, there were significant differences in the students' prosocial behaviors according to their multiple intelligences in terms of their sharing, kindness, cooperation, help, sympathy, and protection. In addition, there were significant differences in their school adjustments according to their multiple intelligence in terms of their adjustments to their teachers, friends, studies, and rules and events. The students' multiple intelligence was a significant predictors of their prosocial behaviors and school adjustments. In particular, their interpersonal intelligences, intrapersonal intelligences, and linguistic intelligences were significant predictors of their prosocial behaviors and school adjustments. These results suggest that elementary school students should be encouraged to develop their multiple intelligence to facilitate their prosocial behaviors and school adjustments.