• Journal of Information Processing Systems
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• v.7 no.1
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• pp.53-62
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• 2011

With the steady growth of mobile technology and applications, demand for more storage in mobile devices has also increased. A lightweight block-level protocol, Internet Advanced Technology Attachment (iATA), has been developed to deliver a cost-effective storage network solution for mobile devices to obtain more storage. This paper seeks to contribute to designing and implementing Load Balancing (LB), Network Monitoring (NM) and Write Replication (WR) modules to improve the protocol's scalability and data availability. LB and NM modules are invoked to collect system resources states and current network status at each associate node (server machine). A dynamic weight factor is calculated based on the collected information and sent to a referral server. The referral server is responsible to analyze and allocate the most ideal node with the least weight to serve the client. With this approach, the client can avoid connecting to a heavily loaded node that may cause delays in subsequent in-band I/O operations. Write replication is applied to the remaining nodes through a WR module by utilizing the Unison file synchronization program. A client initially connected to node IP A for write operations will have no hindrances in executing the relevant read operations at node IP B in new connections. In the worst case scenario of a node crashing, data remain recoverable from other functioning nodes. We have conducted several benchmark tests and our results are evaluated and verified in a later section.

• The Journal of Information Systems
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• v.9 no.1
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• pp.27-44
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• 2000

The structure of neural networks is represented by a weighted directed graph with nodes representing units and links representing connections. Each link is assigned a numerical value representing the weight of the connection. In learning process, the values of weights are adjusted by errors. Following experiment results, the interval of adjusting weights, that is, epoch size influenced neural networks＇ performance. As epoch size is larger than a certain size, neural networks＇performance decreased drastically. And the number of hidden layer＇s node also influenced neural networks＇performance. The networks＇performance decreased as hidden layers have more nodes and then increased at some number of hidden layer＇s node. So, in implementing of neural networks the epoch size and the number of hidden layer＇s node should be decided by systematic methods, not empirical or heuristic methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1529-1547
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• 2015

Establishment of trust is important in wireless sensor networks for security enhancement and successful collaboration. Basically, a node establishes trust with other nodes by estimating a trust value based on monitored behavior of the other nodes. Since a malicious/misbehaving node might launch different attack strategies and might demonstrate random misbehavior, a trust estimation method should be robust against such attacks and misbehavior. Otherwise, the operation of trust establishment will be meaningless, and performance of an application that runs on top of trust establishment will degrade. In this paper, we propose a robust and novel trust estimation method. Unlike traditional trust estimation methods, we consider not only the weight of misbehavior but also the frequency of misbehavior. The frequency-of-misbehavior component explicitly demonstrates how frequently a node misbehaves during a certain observed time period, and it tracks the behavior of nodes more efficiently, which is a main factor in deriving an accurate trust value. In addition, the weight of misbehavior is comprehensively measured to mitigate the effect of an on-off attack. Frequency and weight of misbehavior are comprehensively combined to obtain the trust value. Evaluation results show that the proposed method outperforms other trust estimation methods under different attacks and types of misbehavior.

• Korean Journal of Plant Resources
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• v.10 no.4
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• pp.411-417
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• 1997

In order to improve cultivation technique of Codonopsis lanceolata, uniconazol and paclobutrazol were treated periodically with foliar application during differentiation of node. Plant height, width and length of leaves decreased as the concentration of uniconazol and paclobutrazol increased independently of application period. Characteristics of subterranean part of all treatment by uniconazol foliar application did not show any significant difference to control, except when treated at the differentiated stage of 3rd node. But, when uniconazol was treated with the concentration of 10, 100mg $liter^1$, respectively at the differentiated stage of 12th node, fresh weight was increased to approximately 64%, 100% of control, respectively. Control and 10mg $liter^1$ treated at the differented stage of 6th node showed antitumor activity by the P388 cytotoxic screening test. Fresh weight of all treatment by paclobutrazol foliar application was not showed signigicant difference to control, except when treated at the differentiateed stage of 3rd node. But, when paclobutrazol was treated with the concentration of 10mg $liter^1$ at the differentiated stage of 12th node, fresh weight was slightly increased of control. All treatment showed slight antitumor activity by the P388 cytotoxic screening test.

• Journal of the Korea Fashion and Costume Design Association
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• v.7 no.1
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• pp.33-40
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• 2005

Gathering is method used to control fullness along a seam line. The purpose of this study was to investigate the relationship between the quantitative research and qualitative method; the effect of gather and the types of gather drape. The experimental design consists of four factors: (l) three kinds of different weight and thickness of fabrics (2) three kinds of stitch densities (3) five kinds of ratio of gathers (4) three kinds of grain directions. Therefore one hundred thirty five (135) samples were made. And utilized SPSS WIN 10.0 Package in data analysis. The results of this study were as follows; First, after frequency analysis, side height, hem line width, node depth, node count, node width accorded with these result data recording. Second, after correlation analysis, side height related with front statements. Side height and entire visual was negative correlation. Hem line width, node depth, node count with section statements was negative correlation but node width at section statements was positive correlation. Third, after $k^2$ analysis, front picture parts getting excellent evaluation were 1st side height, 3rd hem line width, 4th node depth, 3rd node count, 3rd node width. And section illustration parts getting excellent evaluation were 4th side height, 1st hem line width, 2nd node depth, 3rd node count, 4th node width.

• Journal of Sericultural and Entomological Science
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• no.12
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• pp.13-16
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• 1970

The studies were intended to clarify the correlations between the characters and the influences upon yield of mulberry trees. The analysis of covariance was used to obtain the genotypic correlations and phenotypic correlations among the eight characters namely branch length, node number, branch diameter, branch number per stock, total branch weight, old branch weight, new shoot and leaf weight, etc., and path-coefficients were calculated by Dewey's method (5). The results obtained are summarized as follows： 1. Genotypic correlations were slightly higher than the corresponding phenotypic correlations between tile characters as shown in Table 1. It could be indicated that hight leaf yield was genetically correlated with almost all characters studied except branch diameter. 2. Leaf yield of mulberry trees was mainly associated with the characters such as node number per branch, total branch weight and old branch weight, etc. 3. Branch length, branch diameter, branch number per stock and new shoot weight had little direct influence upon yield but it had rather considerable indirect in fluence upon yield by increasing the node number and total branch weight per stock. As a result, it can be concluded that total branch weight is primarily determined by branch number per stock and old branch weight, and in turn the leaf yield of mulberry trees is secondary determined by the node number by increasing the branch diameter and length which are positively correlated with branch number per stock and new shoot weight of mulberry trees.

• Journal of Bio-Environment Control
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• v.11 no.4
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• pp.157-162
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• 2002

The efficient timer-controlled irrigation and the favorable fruiting position were investigated far highly quality melon fruits from Feb.18 to July Si 1999. The nutrient solution was supplied either at every hour from 6：00 to 18：00 (T-1) or at 6：00, 8：00, 10：00, 11：00, 12：00, 12：30, 13：00, 13：30, 14：00, 14：30, IS：00,16：00, and 17：00 (T-2). A fruit was set at the first node of the fruit bearing branch from the 10, 12, or 13th node of the main stem. Pot weight was maintained at almost n constant level, regardless of the daily integrated solar radiation in T-2. Soluble solids content (SSC) and fresh weight of fruit were not significantly different among the irrigation treatments at each harvesting time. At the first harvest, SSC and fresh weight of fruit were not significantly different between the fruiting positions within the irrigation treatment. At the second harvest, SSC was higher in T-2 than T-1. The SSC was low in the fruit of the loth node in T-1, while it was not significantly different between fruiting positions in T-2. Fruit fresh weight was the highest at the 12 and 13th nodes in T-1, and the 13th node in T-2. Fresh and dry weights of leaf except petiole, regardless of harvesting time, increased as the node position was higher, The higher the fruiting position was, the lower the leaf weight was. Therefore, it is recommended to irrigate more frequently during the mid-noon. Fruits can be harvested earlier at the lower nodes in the spring crop production.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1407-1423
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• 2020

A graph is a data structure consisting of nodes and edges between these nodes. Graph embedding is to generate a low dimensional vector for a given graph that best represents the characteristics of the graph. Recently, there have been studies on graph embedding, especially using deep learning techniques. However, until now, most deep learning-based graph embedding techniques have focused on unweighted graphs. Therefore, in this paper, we propose a graph embedding technique for weighted graphs based on long short-term memory (LSTM) autoencoders. Given weighted graphs, we traverse each graph to extract node-weight sequences from the graph. Each node-weight sequence represents a path in the graph consisting of nodes and the weights between these nodes. We then train an LSTM autoencoder on the extracted node-weight sequences and encode each nodeweight sequence into a fixed-length vector using the trained LSTM autoencoder. Finally, for each graph, we collect the encoding vectors obtained from the graph and combine them to generate the final embedding vector for the graph. These embedding vectors can be used to classify weighted graphs or to search for similar weighted graphs. The experiments on synthetic and real datasets show that the proposed method is effective in measuring the similarity between weighted graphs.

• Korean Journal of Agricultural Science
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• v.20 no.2
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• pp.125-132
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• 1993

This study was carried out to understand the relationship between sources and sinks in tillering maize hybrid. A non-tillering hybrid was included as check hybrid, The following treatments were imposed on the two hybrids at tasseling stages: 1) no leaves removed, 2) all leaves removed, 3) leaves above 1st ear node removed, 4) leaves below 1st ear node removed and 5) only 1st ear removed. The experiment was arranged in a split plot with hybrids as main plots and treatments as sub plots. Results obtained were summarized as follows: Plant heights in control were significantly higher in both hybrids than other treatments, No significant differences of plant height were observed among treatments of leaf removal in both hybrids. No significant differences of kernel weights of plant were found between locations of leaf removal, But seed weight of tillering hybrids was about 10 to 15% heavier than that of non-tillering hybrid. Stem weight showed the same tendency as the kernel weights. Leaf removal above the ear node lowered kernel weight significantly up to 60% compared with no leaf removal. The leaf removal below the ear node lowered the kernel weight about 40%. The effects of leaf removal on kernel weight was more serious in the non-tillering hybrid than in the tillering hybrid. Contribution of each part to the total dry matter varied with position of leaf removal. When no leaves were removed, contribution of each part to the total dry matter was great in the order of kernel weight, leaf weight and culm weight. When leaves above the ear node were removed, the contribution of each part to the total dry matter was in the order of culm weight, leaf weight and kernel weight. When leaves below the ear node were removed, the contribution of kernel weight was greater than the contribution of leaf and culm weights.

• Journal of Bio-Environment Control
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• v.29 no.4
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• pp.406-413
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• 2020

This study was conducted to find out optimum fruiting node order, pinching node order, and harvesting time in hydroponics using coir substrates to produce high quality melon (Cucumis melo L.) fruit. Three plants per coir slab (100 × 20 × 10 cm) were planted for each treatment. Yamazaki standard nutrient solutions for melon were supplied with 1.8, 2.0, and 2.3 dS·m^-1 at the early, middle (fruit enlargement step), and late growth stages, respectively. Two cultivars of 'PMR Dalgona' and 'Earl's Aibi' were used for fruiting node order and pinching node order experiments. Fruiting node treatments were conducted three replications (8-10 ^th, 11-13 ^th, and 14-15 ^th nodes) and pinching node treatments treated with three replications (18 ^th, 21 ^th, and 24 ^th nodes). Two cultivars of 'PMR Dalgona' and 'Earl's Crown' were used for fruit harvesting time experiment and treated with in four replications (45, 50, 55, and 60 days after fruiting). In growth characteristics, the leaf width and leaf area of 'PMR Dalgona' were the greatest 28.2 cm and 10,845 ㎠. Respectively, 11-13 ^th fruiting nodes or more. The node length of 'Earl's Aibi' was the longest by 147.6 cm at 11-13 ^th fruiting nodes. For fruit quality characteristics, the fruit weight of 'Earl's Aibi' at 11-13 ^th fruiting node fruiting was the greatest by 2.0 kg. The soluble solids content (SSC) of 'PMR Dalgona' was the highest by 14.5 °Brix at 8-10 ^th nodes in fruiting node orders and 14.5 °Brix at the 24 ^th pinching node order, respectively with significant difference. The SSC tends to increase in the same for both cultivars of 'PMR Dalgona' and 'Earl's Aibi' as the position of fruiting node was lower. The SSC and fruit weight of melon harvested at 55-60 days after fruiting was the best. From the results of this study, most of SSC tends to increase in the lower position of fruiting node order and the higher pinching node order, whereas the fruit weight shows a tendency of increasing with higher fruiting node. In addition, the SSC of fruit increased as the number of days after fruiting increased, and further research is needed for more various cultivars. In melon hydroponics using coir substrates, it is needed to figure out the characteristics of each cultivar to determine optimum fruiting node order, pinching node order, and fruit harvest time.