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Koppineedi Veera Satish,Jonnakuti Prakasa Rao 국립중앙과학관 2017 Journal of Asia-Pacific Biodiversity Vol.10 No.4
On the page 104 ‘Materials and methods’ the following sentence is incorrect: “Field and voucher numbers were assigned and realtime observations on habitat and taxonomic notes were recorded for specimens and deposited in Andhra University Herbarium (AUH), Andhra Pradesh, India.” The correct version is: “Field and voucher numbers were assigned and realtime observations on habitat and taxonomic notes were recorded for specimens, holotype deposited in Andhra University Herbarium (AUH) and isotypes in the centers of Botanical Survey of India viz. Central National Herbarium (CAL), Deccan Regional Centre (DRC), Madras Herbarium (MH) and Arid Zone Circle (BSJO). On page 107 ‘Results and discussion’of the article, the following sentence was incorrect: “Type. India. Andhra Pradesh, Visakhapatnam, Araku Valley, Galikonda hilltop, 500 m away from Galikonda viewpoint, 1245m alt, 18ˈ16 ˈ28.1ˈˈ N, 82ˈ59ˈ20.5ˈˈ E, 07 Dec 2013, K.V. Satish, J. Prakasa Rao 21202 (CAL, Holotype.; AUH, DRC, MH, BSJO, Isotypes). The correct version is: Type. Holotype: India. Andhra Pradesh, Visakhapatnam, Araku Valley, Galikonda hilltop, 500 m away from Galikonda viewpoint, 1245 m alt, 18ˈ16ˈ28.1ˈˈ N, 8259ˈ20.5ˈˈ E, 07 Dec 2013, K.V. Satish, J. Prakasa Rao 21202 (AUH). Isotypes: 21202 a (CAL); 21202 b (DRC); 21202 c (MH); 21202 d (BSJO). On the page 104 ‘Materials and methods’ the following sentence is incorrect: “Field and voucher numbers were assigned and realtime observations on habitat and taxonomic notes were recorded for specimens and deposited in Andhra University Herbarium (AUH), Andhra Pradesh, India.” The correct version is: “Field and voucher numbers were assigned and realtime observations on habitat and taxonomic notes were recorded for specimens, holotype deposited in Andhra University Herbarium (AUH) and isotypes in the centers of Botanical Survey of India viz. Central National Herbarium (CAL), Deccan Regional Centre (DRC), Madras Herbarium (MH) and Arid Zone Circle (BSJO). On page 107 ‘Results and discussion’of the article, the following sentence was incorrect: “Type. India. Andhra Pradesh, Visakhapatnam, Araku Valley, Galikonda hilltop, 500 m away from Galikonda viewpoint, 1245m alt, 18ˈ16 ˈ28.1ˈˈ N, 82ˈ59ˈ20.5ˈˈ E, 07 Dec 2013, K.V. Satish, J. Prakasa Rao 21202 (CAL, Holotype.; AUH, DRC, MH, BSJO, Isotypes). The correct version is: Type. Holotype: India. Andhra Pradesh, Visakhapatnam, Araku Valley, Galikonda hilltop, 500 m away from Galikonda viewpoint, 1245 m alt, 18ˈ16ˈ28.1ˈˈ N, 82ˈ59ˈ20.5ˈˈ E, 07 Dec 2013, K.V. Satish, J. Prakasa Rao 21202 (AUH). Isotypes: 21202 a (CAL); 21202 b (DRC); 21202 c (MH); 21202 d (BSJO).
RAO B.L.S. PRAKASA The Korean Statistical Society 2005 Journal of the Korean Statistical Society Vol.34 No.4
We investigate the rate of convergence of the distribution of the maximum likelihood estimator (MLE) of an unknown parameter in the drift coefficient of a stochastic process described by a linear stochastic differential equation driven by a fractional Brownian motion (fBm). As a special case, we obtain the rate of convergence for the case of the fractional Ornstein- Uhlenbeck type process studied recently by Kleptsyna and Le Breton (2002).
B.L.S.PRAKASA RAO 한국통계학회 2005 Journal of the Korean Statistical Society Vol.34 No.4
We investigate the rate of convergence of the distribution of the maximum likelihood estimator (MLE) of an unknown parameter in the drift coefficient of a stochastic process described by a linear stochastic differential equation driven by a fractional Brownian motion (fBm). As a special case, we obtain the rate of convergence for the case of the fractional Ornstein-Uhlenbeck type process studied recently by Kleptsyna and Le Breton (2002).
Minimum Distance Estimation for Some Stochastic Partial Differential Equations
Rao, B.L.S.Prakasa The Korean Statistical Society 2002 Journal of the Korean Statistical Society Vol.31 No.2
Asymptotic properties of minimum distance estimators for the parameter involved for a class of stochastic partial differential equations are investigated following the techniques in Kutoyants and Pilibossian (1994).
Mahendra Nath Mishra,Bhagavatula Lakshmi Surya Prakasa Rao 대한수학회 2018 대한수학회지 Vol.55 No.5
We study the estimation of the drift parameter and the change point obtained through a Kalman-Bucy filter for linear systems with signal driven by a fractional Brownian motion and the observation driven by a Brownian motion.
Mishra, Mahendra Nath,Rao, Bhagavatula Lakshmi Surya Prakasa Korean Mathematical Society 2018 대한수학회지 Vol.55 No.5
We study the estimation of the drift parameter and the change point obtained through a Kalman-Bucy filter for linear systems with signal driven by a fractional Brownian motion and the observation driven by a Brownian motion.
Wood Classification of Japanese Fagaceae using Partial Sample Area and Convolutional Neural Networks
( Taufik Fathurahman ),( P. H. Gunawan ),( Esa Prakasa ),( Junji Sugiyama ) 한국목재공학회 2021 목재공학 Vol.49 No.5
Wood identification is regularly performed by observing the wood anatomy, such as colour, texture, fibre direction, and other characteristics. The manual process, however, could be time consuming, especially when identification work is required at high quantity. Considering this condition, a convolutional neural networks (CNN)-based program is applied to improve the image classification results. The research focuses on the algorithm accuracy and efficiency in dealing with the dataset limitations. For this, it is proposed to do the sample selection process or only take a small portion of the existing image. Still, it can be expected to represent the overall picture to maintain and improve the generalisation capabilities of the CNN method in the classification stages. The experiments yielded an incredible F1 score average up to 93.4% for medium sample area sizes (200 × 200 pixels) on each CNN architecture (VGG16, ResNet50, MobileNet, DenseNet121, and Xception based). Whereas DenseNet121-based architecture was found to be the best architecture in maintaining the generalisation of its model for each sample area size (100, 200, and 300 pixels). The experimental results showed that the proposed algorithm can be an accurate and reliable solution.
Titis Wijayanto,Valentina Kunti Bratadew,Ghani Furqon Abdul Rahma,Moony Sinawang,Harendra Surya Prakasa 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.4
It has been reported that internal precooling via fluid ingestion is useful for hyperthermia prevention during exercise;however, its application in the occupational setting is unclear. This study aims to compare the effect of pre-coolingusing cold fluid and crushed ice ingestion on thermoregulatory responses during simulated occupational activity in ahot and humid environment. Nine healthy males completed treadmill exercise for 30-min at an intensity of 65% ofpredetermined HRmax in a chamber set at 36.6±0.8ºC of air temperature and 72±6% of relative humidity. Before theexercise, they preceded ingested 7.5 ml kg-1 body mass of cold drink (4ºC), crushed ice (-2ºC), or mineral water(28ºC) for pre-cooling. Ingesting crushed ice before the activity significantly lowered the pre-activity tympanic temperature than the cold beverage. Also, crushed ice ingestion showed more significant effects in lowering heart rate andimproving heat sink at the post-activity phase compared to cold beverage ingestion. These findings suggest thatcrushed ice ingestion may be more practical to minimize physiological and subjective thermal strain during occupational activity than ingesting cold fluid.