• Journal of Agricultural Extension & Community Development
• /
• v.7 no.1
• /
• pp.167-173
• /
• 2000

This study was carried out to investigate suitable pruning methods to avoid poor berry setting of 'Kyoho' grapevine in Suwon and Anseong areas. Light pruning increased percentage of bud bursts and number of shoots per bearing mother branches(BMB), cluster weight and percentage of berry sating but it decreased shoot length, number of leaves and, leaf area and leaf weight. There was little difference in soluble solids, titratable acidity, and anthocyanin contents of berries by the treatment of either light or heavy pruning. Shoot length became longer as diameter of BMB thickened, leaf area and chlorophyll content also became larger and diameter of BMB. Total carbohydrate and N, P, K, Ca, and Mg contents showed significantly little difference, but total carbohydrate and Ca contents showed a tendency of continuous increase as diameter of BMB thinned. Number of seeded berries per cluster became fewer as BMB thinned but percentage of berry setting showed an increasing tendency. Cluster weight, berry weight, berry number per cluster, soluble solids, anthocyanin content were higher in case of around 1cm of diameters of BMB.

• Communications for Statistical Applications and Methods
• /
• v.23 no.1
• /
• pp.47-55
• /
• 2016

Stratified cluster sampling has been widely used for effective parameter estimations due to reductions in time and cost. The probability proportional to size (PPS) sampling method is used when the number of cluster element are significantly different. However, simple random sampling (SRS) is commonly used for simplicity if the number of cluster elements are almost the same. Also it is known that the ratio estimator produces a good performance when the total number of population elements is known. However, the two stage cluster estimator should be used if the total number of elements in population is neither known nor accurate. In this study we suggest a composite estimator by combining the ratio estimator and the two stage cluster estimator to obtain a better estimate under a certain population circumstance. Simulation studies are conducted to compare the superiority of the suggested estimator with two other estimators.

• Journal of KIISE:Computer Systems and Theory
• /
• v.30 no.10
• /
• pp.533-543
• /
• 2003

With the increase of interests in cluster, there have been a number of research efforts to address the high availability issues on cluster. However, there are no kernel-level group communication systems to support the development of kernel-level application programs and it is not easy to use traditional user-level group communication systems for the kernel-level applications. This paper presents the design and implementation issues of KCGCS(Kernel-level Cluster Group Communication System), which is a kernel-level group communication module for linux cluster. Unlike traditional user-level group communication systems, the KCGCS uses light-weight heartbeat messages and a ring-based heartbeat mechanism, which allows users to implement scalable failure detection mechanisms. Moreover, the KCGCS improves the reliability by using distributed coordinators to maintain membership information.

• Journal of Convergence Society for SMB
• /
• v.4 no.1
• /
• pp.7-15
• /
• 2014

In this paper, we propose an efficient routing protocol to achieve an optimal route searching process of the network lifetime by balancing power consumption per node. The proposed protocols aim at finding energy-efficient paths at low protocol power. In our protocol, each intermediate node keeps power level and branch number of child nodes and it transmits the data the nearest neighbor node. Our protocol may minimize the energy consumption at each node, thus prolong the lifetime of the system regardless of the location of the sink outside or inside the cluster. In the proposed protocol for inter-cluster communication, a cluster head chooses a relay node from its adjacent cluster heads according to the node's residual energy and its distance to the base station. Simulation results show that proposed protocol successfully balances the energy consumption over the network, and achieves a remarkable network lifetime improvement as highly as 7.5%.

• Journal of Environmental Science International
• /
• v.24 no.12
• /
• pp.1673-1679
• /
• 2015

This study was conducted to investigate the effects of fruit set internode on the germination of watermelon seeds. Generally fruits setted in higher than 20 internode were high percent of germination, fruit setted in low internode(5-10) is low. The higher fruit-set internode, fruit weight was significantly increased, but 1,000 seed weight was decreased the more fruit set internode. However number of seed was about 300 seeds irrespective of fruit-set internode. Investigating viability of seed by BP test, general percent germination was recorded highest at 5 flower cluster above 20 internode of fruit-set internode. In contrast, condition of fruit setted on 3, 4, 6 flower cluster were high percent of germination, regarded as unnormal germination not to be as normal seedling by 2~3%. Seed harvested at 5 flower-cluster had high viability on hypocotyl height and diameter of seedling through early growth test, but were not significant. Therefore 5 flower-cluster was optimum fruit-set internode to obtain high-quality seed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.848-850
• /
• 2014

Mobile Ad hoc Networks(MANET) is consist of node that has mobility, MANET build cluster formation for using energy efficient. In existing LEACH algorithm elect cluster head node in coverage area by distribution function. However, when the cluster head node, that elected by distribution function, is divided coverage area unevenly, the network can't consumption energy efficiency. To solve this problem, we proposed CSWC(Coverage Scheduling Weight-value Control) algorithm. When the coverage area is divided nonchalance, proposed algorithm increased number of hops, that determines coverage area, for balance coverage area. As the result proposed algorithm is set balance coverage area, the network consumption energy efficiency.

• Journal of Korean Clinical Nursing Research
• /
• v.14 no.1
• /
• pp.61-70
• /
• 2008

Purpose: Women with gynecologic cancer often experience various physical and psychological symptoms relating to the cancer and its treatment. The purpose of this study was to identify symptom clusters. Method: A survey was conducted on 184 women with diagnoses of cervical, ovarian or endometrial cancer. Fifty symptoms were assessed for prevalence, severity and interference, and symptom clusters were identified. Cluster analysis was done using SPSS version 12.0. Results: Fatigue was identified as the most prevalent symptom (81.52%), lack of vaginal lubrication (2.26) as the most severe symptom, and lack of vaginal lubrication as the most interfering one (2.15). Identified six clusters were: Anorexia-pain cluster (loss of appetite, taste change, weight loss, appearance change, alopecia, weakness, pain), Fatigue cluster (lack of concentration, lack of memory, fatigue, dry mouth), Urinary-bowel distress cluster (urinary difficulty, constipation), Abdominal discomfort cluster (lower abdominal pain, abdominal pain, bloating), Emotional distress (sadness, anxiety-worry, nervousness, restlessness), and Menopausal cluster (sweating, hot flush, fever). Conclusion: The result of this study provides fundamental data to health care professionals in developing interventions for effective symptom management for women with gynecologic cancer by understanding identified 6 symptom clusters.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.3
• /
• pp.354-359
• /
• 2008

Clustering is a method to classify the given data set with same property into several classes. To cluster data, many methods such as K-Means, Fuzzy C-Means(FCM), Mountain Method(MM), and etc, have been proposed and used. But the clustering results of conventional methods are sensitively influenced by initial values given for clustering in each method. Especially, FCM is very sensitive to noisy data, and cluster center distortion phenomenon is occurred because the method dose clustering through minimization of within-clusters variance. In this paper, we propose a clustering method which reduces cluster center distortion through merging the nearest data based on the data weight, and not being influenced by initial values. We show the effectiveness of the proposed through experimental results applied it to various types of data sets, and comparison of cluster centers with those of FCM.

• Korean Journal of Plant Resources
• /
• v.28 no.2
• /
• pp.290-295
• /
• 2015

The experiment were carried out in 7-year-old ‘Campbell Early’ grape to increase work efficiency by fruit cluster thinning methods (Pedicel and berry thinning). Pedicel thinning, such as labor-saving cluster thinning of grape, was 6.7 fold higher than the berry thinning for work efficiency. The fruit cluster weight and number of berry were lower in the fruit cluster thinning fruits than in the none-fruit cluster thinning, however, the soluble solid content (SSC) was high and titratable acidity (TA) was low in the fruit cluster thinning fruits than in the none-fruit cluster thinning fruits. Therefore, the bruising rate of berries was decreased in the fruit cluster thinning fruits. Quality uniformity by fruit cluster thinning was proper in fruit cluster weight of 350~450 g when SSC and TA in part of lower, middle and upper of cluster was considered.

• Journal of Internet Computing and Services
• /
• v.18 no.2
• /
• pp.61-73
• /
• 2017

In this paper, we propose a Documents Cluster Labeling method using information content of words in clusters to understand what the clusters imply. To do so, we calculate the weight and frequency of the words. These two measures are used to determine the weight among the words in the cluster. As a nest step, we identify the candidate labels using the WordNet. At this time, the candidate labels are matched to least common hypernym of the words in the cluster. Finally, the representative labels are determined with respect to information content of the words and the weight of the words. To prove the superiority of our method, we perform the heuristic experiment using two kinds of measures, named the suitability of the candidate label ($Suitability_{cl}$) and the appropriacy of representative label ($Appropriacy_{rl}$). In applying the method proposed in this research, in case of suitability of the candidate label, it decreases slightly compared with existing methods, but the computational cost is about 20% of the conventional methods. And we confirmed that appropriacy of the representative label is better results than the existing methods. As a result, it is expected to help data analysts to interpret the document cluster easier.