• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1219-1228
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• 2014

Constant conditional correlation (CCC) is frequently employed for parsimony in the field of multivariate GARCH time series. An extended-CCC (ECCC) model is further developed in order to allow interactions between multivariate volatilities. The paper introduces both CCC model and ECCC model to the domestic financial time series. The CCC and ECCC models are fitted and then compared with each other through various multivatiate time series.

• FLOWER RESEARCH JOURNAL
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• v.16 no.4
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• pp.234-238
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• 2008

This experiment was conducted to investigate the effect of growth retardants such as CCC and diniconazole in grafted cactus for control shipping product of grafted cactus, which had high degree of dependence upon export. The PGRs were 50, 100, 150 $mg{\cdot}L^{-1}$ CCC and diniconazole, respectively. Treatment of diniconazole and CCC not reduced diameter on Gymnocalycium mihanovichii var. friedrichii but number of tubercle reduced significantly according to the increase of diniconazole treatment, control was 7.2 tubercles, but with 100 $mg{\cdot}L^{-1}$ diniconazole was 6.4 tubercles. Treatment of diniconazole and CCC reduced significantly diameter and tubercle number on Chamaecereus silvestrii f. variegata at higher concentration. Diameter and height reduced significantly the treatment of CCC with 3.3 and 13.4 mm of 150 $mg{\cdot}L^{-1}$, respectively. Dry weight of root, rootstock and scion decreased at higher concentrations of CCC and diniconazole in Chamaecereus silvestrii f. variegata. The most effective method of plant growth retardants for controlling of shipping time was the 150 $mg{\cdot}L^{-1}$ CCC treatment.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.101-112
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• 2008

As charts to monitor the process fraction defectives, P, in the high-yield processes, Mishima et al. (2002) discussed a synthetic chart, the Synthetic CS chart, which integrates the CS (Confirmation Sample)$_{CCC(\text{Cumulative Count of Conforming})-r}$ chart and the CCC-r chart. The Synthetic CS chart is designed to monitor quality characteristics in real-time. Recently, Kotani et al. (2005) presented the EWMA (Exponentially Weighted Moving-Average)$_{CCC-r}$ chart, which considers combining the quality characteristics monitored in the past with one monitored in real-time. In this paper, we present an alternative chart that is more superior to the $EWMA_{CCC-r}$ chart. It is an integration of the $EWMA_{CCC-r}$ chart and the CCC-r chart. In using the proposed chart, the quality characteristic is initially judged as either the in-control state or the out-of-control state, using the lower and upper control limits of the $EWMA_{CCC-r}$ chart. If the process is not judged as the in-control state by the $EWMA_{CCC-r}$ chart, the process is successively judged, using the $EWMA_{CCC-r}$ chart. We compare the ANOS (Average Number of Observations to Signal) of the proposed chart with those of the $EWMA_{CCC-r}$ chart and the Synthetic CS chart. From the numerical experiments, with the small size of inspection items, the proposed chart is the most sensitive to detect especially the small shifts in P among other charts.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.173-173
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• 2017

Phalaenopsis orchid is one of the most important flowers in flower industry. We conducted an experiment to find out the response of different concentration of chlorocholine chloride (CCC) for the in vitro regeneration of protocorm like bodies (PLBs) of Phalaenopsis 'Fmk02010'. We used five different concentrations of CCC and these were 0 (control), 0.01, 0.1, 1 and $10mgL^{-1}$ in modified MS medium and cultured for 42 days. We added two major salts ammonium nitrate ($412.5mgL^{-1}$) and potassium nitrate ($950.0mgL^{-1}$) to the MS medium for the modification. Maximum numbers of PLBs were found from media with $0.01mgL^{-1}$ of CCC (15.667) and maximum fresh weight (0.211 g) as well. The 100% PLB formation rate was also found from $0.01mgL^{-1}$ of CCC. We found 58.83% variation in number of PLBs ($R^2=0.5883$) and 47.44% variation in fresh weight ($R^2=0.4744$) to the different CCC concentrations. Our study suggested that increase in the CCC concentration negatively affect the PLBs organogenesis of Phalaenopsis. We can suggest that the addition of very low concentration of CCC in plant culture medium can increase the number, formation rate and fresh weight of PLBs of Phalaenopsis.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.177-177
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• 2017

Phalaenopsis orchid is one of the most important flowers in flower industry. We conducted an experiment to find out the response of different concentration of chlorocholine chloride (CCC) for the in vitro regeneration of protocorm like bodies (PLBs) of Phalaenopsis 'Fmk02010'. We used five different concentrations of CCC and these were 0 (control), 0.01, 0.1, 1 and $10mgL^{-1}$ in modified MS medium and cultured for 42 days. We added two major salts ammonium nitrate ($412.5mgL^{-1}$) and potassium nitrate ($950.0mgL^{-1}$) to the MS medium for the modification. Maximum numbers of PLBs were found from media with $0.01mgL^{-1}$ of CCC (15.667) and maximum fresh weight (0.211 g) as well. The 100% PLB formation rate was also found from $0.01mgL^{-1}$ of CCC. We found 58.83% variation in number of PLBs ($R^2=0.5883$) and 47.44% variation in fresh weight ($R^2=0.4744$) to the different CCC concentrations. Our study suggested that increase in the CCC concentration negatively affect the PLBs organogenesis of Phalaenopsis. We can suggest that the addition of very low concentration of CCC in plant culture medium can increase the number, formation rate and fresh weight of PLBs of Phalaenopsis.

• Industrial Engineering and Management Systems
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• v.4 no.1
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• pp.75-81
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• 2005

Borror et al. discussed the EWMA(Exponentially Weighted Moving Average) chart to monitor the count of defects which follows the Poisson distribution, referred to the $EWMA_c$ chart, as an alternative Shewhart c chart. In the $EWMA_c$ chart, the Markov chain approach is used to calculate the ARL (Average Run Length). On the other hand, in order to monitor the process fraction defectives P in high-yield processes, Xie et al. presented the CCC(Cumulative Count of Conforming)-r chart of which quality characteristic is the cumulative count of conforming item inspected until observing $r({\geq}2)$ nonconforming items. Furthermore, Ohta and Kusukawa presented the $CS(Confirmation Sample)_{CCC-r}$ chart as an alternative of the CCC-r chart. As a more superior chart in high-yield processes, in this paper we present an $EWMA_{CCC-r}$ chart to detect more sensitively small or moderate shifts in P than the $CS_{CCC-r}$ chart. The proposed $EWMA_{CCC-r}$ chart can be constructed by applying the designing method of the $EWMA_C$ chart to the CCC-r chart. ANOS(Average Number of Observations to Signal) of the proposed chart is compared with that of the $CS_{CCC-r}$ chart through computer simulation. It is demonstrated from numerical examples that the performance of proposed chart is more superior to the $CS_{CCC-r}$ chart.

• The Korean Journal of Applied Statistics
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• v.31 no.4
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• pp.485-495
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• 2018

The CCC-r chart is more effective than traditional attribute control charts for monitoring high-quality processes. In-control process parameters are typically unknown and should be estimated when implementing a CCC-r chart. Phase II control chart performance can deteriorate due to the effect of the estimation error. In this paper, we used the standard deviation of average run length (ARL) as well as the average of ARL to quantify the between-practitioner variability in the CCC-r chart performance. The results indicate that the CCC-r chart requires larger Phase I data than previously recommended in the literature in order to have consistent chart in-control performance among practitioners.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.9 no.4
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• pp.158-163
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• 2010

KT will deploy HSPA+/CCC network in this year to handle data explosion. CCC is an evolutionary wireless network architecture which divides a node B into baseband and radio part. By collecting baseband units in a digital unit central station and installing only remote units on desired sites, the operator can reduce the total cost of ownership and $CO_2$ emission. In this paper, we describe some expected problems in deploying HSPA+/CCC network, and how to implement the wireless network planning system to solve them effectively.

• Journal of Life Science
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• v.8 no.1
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• pp.67-71
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• 1998

In order to develop new antitumor agents from fermentation broths, we used cccDNA breakage assay abd sulforhodamine B assay for prescreening. As a result, it was shown that sample reach 3.3% when using cccDNA breakage assay. In sulforhodamine B assay, we obtained 4 acive fraction against A549 (a cell line of human lung carcinoma) and SK-OV-3 (a cell line of human adenocarcinoma). These results suggest that these assay would be a promising method for antitumor prescreening from microbial sources.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.451-466
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• 2020

CCC-r chart is effective for high-quality processes with a very low fraction nonconforming. The values of process parameters should be estimated from the Phase I sample since they are often not known. However, if the Phase I sample size is not sufficiently large, an estimation error may occur when the parameter is estimated and the practitioner may not achieve the desired in-control performance. Therefore, we adjust the control limits of CCC-r charts using the bootstrap algorithm to improve the in-control performance of charts with smaller sample sizes. The simulation results show that the adjustment with the bootstrap algorithm improves the in-control performance of CCC-r charts by controlling the probability that the in-control average number of observations to signal (ANOS) has a value greater than the desired one.