• 한국작물학회지
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• 제53권3호
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• pp.297-302
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• 2008

Application of genotype by environment ($G\;{\times}\;E$) interaction would be used for identifying optimum test condition of the varietal adaptation in the establishment of breeding purpose. Yield and yield components were used to perform additive main effect and multiplicative interaction (AMMI) analysis. Significant difference for $G\;{\times}\;E$ interaction were observed for all variable examined. For yield, 0.18 of total sum of squares corresponded to $G\;{\times}\;E$ interaction. Correlation analysis was carried out between genotypic scores of the first interaction principal component axis (IPCA 1) for agronomic characters. Significant correlations were observed between IPCA 1 for yield and capsule bearing stem length (CBSL), number of capsule per plant (NOC). The biplot of grain yield means for IPCA1 which accounted for 34% of the variation in total treatment sums of squares showed different reaction according to $G\;{\times}\;E$ interaction, genotypes and environments. Taegu showed relatively lower positive IPCA1 scores, and it also showed smaller coefficient variation of yield mean where it is recommendable as a optimal site for the sesame cultivar adaptation and evaluation trial. In case of variables, Yangbaek and M1 showed relatively lower IPCA1 scores, but the score direction showed opposite each other on the graph. Ansan, Miryang1, Miryang4, and Miryang6 seemed to be similar group in view of yield response against IPCA1 scores. These results will be helpful to select experimental site for sesame in Korea to minimize $G\;{\times}\;E$ interaction for the selection of promising genotype with higher stability.

• 한국작물학회지
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• 제62권4호
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• pp.317-324
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• 2017

본 연구의 목적은 찰벼의 찰기에 대한 유전적 효과와 환경적 변이에 대한 기초자료를 제공하기 위해 수행하였다. 이를 위해 6개 환경 조건에서 6종 찰벼 품종을 이용하여 찰기에 대한 유전자와 환경의 (Genotype-by-Environment, $G{\times}E$) 상호작용 분석을 하였다. AMMI 분석모델에 의한 환경(재배지역, E), 유전자(품종, G), 유전자와 환경 상호 작용($G{\times}E$) 효과 모두에서 고도의 유의성이 있었다(P<0.001). 찰기에 대한 전체 변이중에서 환경효과는 24.5%, 유전적 효과는 37.1%, 상호작용 효과는 28.9%이었다. 유전자와 환경의 상호작용 분석에서 아랑향찰(G6, IPCA1: 3.85) 및 화선찰(G4, IPCA: -5.24)는 다른 품종보다 IPCA1 값이 낮아 환경에 대한 상호작용 효과가 낮았고, 유전자 효과가 높은 품종들이었다. 반면, 상주찰(G1, IPCA1: -61.23) 및 보석찰(G2, IPCA1: 41.21)은 IPCA1 값이 높아 환경의 효과에 의해 영향을 크게 받는 품종이었다. 따라서 이들 품종들은 환경 특이적 특성을 나타낸다고 할 수 있다. 이상의 본 시험의 결과 찰벼 품종을 이용한 찰떡의 찰기는 지역에 따라 달라짐을 보여주는 결과이다. 따라서 찰벼의 품종 육성 단계에서 지역별 찹쌀 수량, 병해충 등 재배 안정성 뿐만 아니라 찰벼의 이용목적인 찰기에 대한 안정성도 검토가 필요할 것이다. 더불어 밥쌀용 품종의 식미를 높이기 위한 적합한 환경조건에 대한 선행 연구를 참고하여 찰벼의 찰기를 높일 수 있는 환경조건에 대한 연구가 수행되어야 할 것으로 사료된다.

• The Plant Pathology Journal
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• 제24권3호
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• pp.337-351
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• 2008

Host-pathogen interaction in rice bacterial blight pathosystem was analyzed for a better understanding of their relationship and recognition of stable pathogenicity among the populations of Xanthomonas oryzae pv. oryzae. A total number of 52 bacterial strains isolated from diseased leaf samples collected from 12 rice growing states and one Union Territory of India, were inoculated on 16 rice varieties, each possessing known genes for resistance. Analysis of variance revealed that the host genotypes(G) accounted for largest(78.4%) proportion of the total sum of squares(SS), followed by 16.5% due to the pathogen isolates(I) and 5.1% due to the $I{\times}G$ interactions. Application of the Additive Main effects and Multiplicative Interaction(AMMI) model revealed that the first two interaction principal component axes(IPCA) accounted for 66.8% and 21.5% of the interaction SS, respectively. The biplot generated using the isolate and genotypic scores of the first two IPCAs revealed groups of host genotypes and pathogen isolates falling into four sectors. A group of five isolates with high virulence, high absolute IPCA-1 scores, moderate IPCA-2 scores, low AMMI stability index '$D_i$' values and minimal deviations from additive main effects displayed in AMMI biplot as well as response plot, were identified as possessing stable pathogenicity across 16 host genotypes. The largest group of 27 isolates with low virulence, small IPCA-1 as well as IPCA-2 scores, low $D_i$ values and minimal deviations from additive main effect predictions, possessed stable pathogenicity for low virulence. The AMMI analysis and biplot display facilitated in a better understanding of the host-pathogen interaction, adaptability of pathogen isolates to specific host genotypes, identification of isolates showing stable pathogenicity and most discriminating host genotypes, which could be useful in location specific breeding programs aiming at deployment of resistant host genotypes in bacterial blight disease control strategies.

• 품질경영학회지
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• 제45권2호
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• pp.191-207
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• 2017

Purpose: To develop an interactive version of the conventional process capability-based approach, called 'Interactive Process Capability-Based Approach (IPCA)' in multi-response surface optimization to obtain a satisfactory compromise which incorporates a decision maker(DM)'s preference information precisely. Methods: The proposed IPCA consists of 4 steps. Step 1 is to obtain the estimated process capability indices and initialize the parameters. Step 2 is to maximize the overall process capability index. Step 3 is to evaluate the optimization results. If all the responses are satisfactory, the procedure stops with the most preferred compromise solution. Otherwise, it moves to Step 4. Step 4 is to adjust the preference parameters. The adjustment can be made in two modes: relaxation and tightening. The relaxation is to make the importance of one of the satisfactory responses lower, which is implemented by decreasing its weight. The tightening is to make the importance of one of the unsatisfactory responses higher, which is implemented by increasing its weight. Then, the procedure goes back to Step 2. If there is no response to be adjusted, it stops with the unsatisfactory compromise solution. Results: The proposed IPCA was illustrated through a multi-response surface problem, colloidal gas aphrons problem. The illustration shows that it can generate a satisfactory compromise through an interactive procedure which enables the DM to provide his or her preference information conveniently. Conclusion: The proposed IPCA has two major advantages. One is to obtain a satisfactory compromise which is faithful to the DM preference structure. The other is to make the DM's participation in the interactive procedure easier by using the process capability index in judging satisfaction/unsatisfaction. The process capability index is very familiar with quality practitioners as well as indicates the process performance levels numerically.

• The Korean Journal of Pain
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• 제26권3호
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• pp.277-285
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• 2013

Background: Opioid analgesics are widely used to reduce postoperative pain and to enhance post-operative recovery. However, orthostatic intolerance (OI) induced by opioid containing intravenous patient controlled analgesia (IPCA) may hinder postoperative recovery. This study investigated factors that affect OI in patients receiving IPCA for postoperative pain control. Methods: OI was instantly evaluated at the time of first ambulation in 175 patients taking opioid containing IPCA after open and laparoscopic subtotal gastrectomies. Patients were classified as having OI if they experienced dizziness, nausea/vomiting, blurred vision, headache, somnolence and syncope. Factors contributing to OI were assessed with logistic regression analysis. Results: Out of 175 patients, 61 (52.6%) male and 44 (74.6%) female patients experienced OI at the time of first ambulation. The frequency of OI related symptoms were dizziness (97, 55.4%), nausea (46, 26.3%), headache (9, 5.1%), blurred vision (3, 1.7%) and vomiting (2, 1.1%). Significant risk factors for OI were gender (P=0.002) and total amount of opioids administered (P=0.033). Conclusions: The incidence of OI is significantly higher in male than in female patients and is influenced by the opioid dose.

• 셀메드
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• 제2권2호
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• pp.17.1-17.5
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• 2012

Ayurveda is a nearly 3000 years old traditional medical system of India. Most of the time, people turn to ayurvedic physicians in desperate conditions. Here clinical practices of Ayurveda were initially found effective in the management of migraine among few patients. Later, it was developed as an ayurvedic treatment protocol (ATP) which consists of four herbo-mineral formulations (HMF), three meals and three snacks in a day with eight hours sleep at night. ATP brought significant relief in reducing the frequency, intensity of pain and associated symptoms in the migraine patients. IHS diagnostic criteria was followed to establish the diagnosis of migraine and uniform ATP was prescribed to each patient who were primarily treated by the ayurvedic physicians at their respective clinics. Such observations were presented at appropriate international forums. In an effort to validate the above, the present study carries the details of nine migraine patients who were first diagnosed and treated for migraine by a leading headache expert at Mumbai in India and were then referred to receive ATP. A total number of nine subjects volunteered to this program. Out of those, seven subjects completed 120 days of ATP. Five subjects reported significant improvement in overall symptoms of migraine. All subjects were followed up periodically for four years. No Grade II side effects were observed in any treated case. HMF has also been proved to be safe in experimental studies. Further pharmacological and randomized controlled clinical studies are in progress at the respective departments of a premier medical institute in India.

• 한국IT서비스학회지
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• 제21권2호
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• pp.27-41
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• 2022

In a fiercely competitive environment, quality is a key factor that enables dashboard camera makers to maintain their competitive advantage. Quality affects consumer satisfaction, brand loyalty, and firm performance. Therefore, to remain competitive, it is important that manufacturers maintain product quality that meets consumer expectations. To this end, it is necessary to investigate customer preferences and product performance in terms of product quality and to properly allocate resources to improve the quality level such that the firm can maintain a competitive advantage. In this paper, we proposed the various ways in which manufacturing firms can determine which quality dimensions need improvement in order to secure competitiveness. To this end, we analyzed a case study of Urive to develop a quality improvement strategy through importance performance competitor analysis (IPCA). Urive's IPCA results showed that 14 quality dimensions, namely performance, size, price, ease of use, country of origin, manufacturer, brand, product certificate, warranty, distribution channel, market share, reliability, durability, and conformance, were not absolutely competitive compared with those of Mando, Inavi, and Finevu. In terms of color, Urive had an absolute competitive advantage over Mando, but not Inavi and Finevu. Urive's appearance was more competitive than Mando's, but not Inavi's and Finevu's. In terms of advertisement and serviceability, Urive was absolutely less competitive than Mando and Inavi, but had a competitive advantage over Finevu. Therefore, it is necessary to put resources and time as the first priority for performance, reliability, and durability, which have a large performance difference in common among the three brands. The quality dimensions in which resources and time need to be put in second place are price and ease of use, which have a large performance difference in common among the two brands.

• 제어로봇시스템학회논문지
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• 제18권6호
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• pp.562-570
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• 2012

This paper proposes a robust object tracking algorithm using object features and on-line learning based particle filter for mobile robots. Mobile robots with a side-view camera have problems as camera jitter, illumination change, object shape variation and occlusion in variety environments. In order to overcome these problems, color histogram and HOG descriptor are fused for efficient representation of an object. Particle filter is used for robust object tracking with on-line learning method IPCA in non-linear environment. The validity of the proposed algorithm is revealed via experiments with DBs acquired in variety environment. The experiments show that the accuracy performance of particle filter using combined color and shape information associated with online learning (92.4 %) is more robust than that of particle filter using only color information (71.1 %) or particle filter using shape and color information without on-line learning (90.3 %).

• 셀메드
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• 제6권1호
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• pp.5.1-5.5
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• 2016

Combating anaemia is a global public health challenge of the developing world. Nutritional anaemia is a serious health problem faced by Indian school children. An investigation was taken up to study the effect of non iron containing Ayurvedic preparation Sootshekhar Rasa (SR) plus Sitopaladi Churna (SC) along with iron and folic acid (IFA) for improving nutritional anaemia among adolescent school going students of Dehradun district in Northern India. The blinded, controlled randomized trial comprised of 820 adolescents anaemic students aged 11 - 18 years. The anaemic students were randomly divided into 4 groups, students of group I (control) received starch, group II, III, and IV students received daily dose of (SR 250 mg + SC 400 mg), IFA and (SR 250 mg + SC 400 mg) + IFA, respectively. All the students received treatment for 90days and were followed up for next 180days. At the end of follow-up (day 270), significant increase of haemoglobin (Hb) level from the base line was recorded in all treatment groups. The maximum gain in Hb concentration was noted in group IV (10.1 ± 0.6 g/L), which was significantly higher than any other group. There were 123 drop-outs; however, no major side effect of treatment was noted in any student. We conclude that daily dose of (SR 250 mg + SC 400 mg) along with IFA can produce sustainable improvement of nutritional anaemia in adolescent students.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.88-88
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• 2022

Detection of stress responses in crops is important to diagnose crop growth and evaluate yield. Also, the multi-spectral sensor is effectively known to evaluate stress caused by nutrient and moisture in crops or biological agents such as weeds or diseases. Therefore, in this experiment, multispectral images were taken by an unmanned aerial vehicle(UAV) under field condition. The experiment was conducted in the long-term fertilizer field in the National Institute of Crop Science, and experiment area was divided into different status of NPK(Control, N-deficiency, P-deficiency, K-deficiency, Non-fertilizer). Total 11 vegetation indices were created with RGB and NIR reflectance values using python. Variations in nutrient content in plants affect the amount of light reflected or absorbed for each wavelength band. Therefore, the objective of this experiment was to evaluate vegetation indices derived from multispectral reflectance data as input into machine learning algorithm for the classification of nutritional deficiency in rice. RandomForest model was used as a representative ensemble model, and parameters were adjusted through hyperparameter tuning such as RandomSearchCV. As a result, training accuracy was 0.95 and test accuracy was 0.80, and IPCA, NDRE, and EVI were included in the top three indices for feature importance. Also, precision, recall, and f1-score, which are indicators for evaluating the performance of the classification model, showed a distribution of 0.7-0.9 for each class.