http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Kengo Anami,Hiroyuki Yokota,Ryoji Takao 한국강구조학회 2008 International Journal of Steel Structures Vol.8 No.3
The influence of out-of-plane bending stress on the fatigue performance of load carrying cruciform welded joint where fatigue crack originates from weld root was experimentally and analytically examined. For the experimental work, fatigue tests with three types of specimens were conducted under combination of axial membrane loading and out-of-plane bending loading. Since the influence of out-of-plane bending stress applied in this fatigue tests are small about 20~25% of membrane stress, the influence of out-of-plane bending stress is not observed, that means the fatigue performance under combination loading with such small out-of-plane bending stress can be assessed with only membrane stress range. For larger out-of-plane bending stress, the influence of out-of-plane bending stress was analytically examined by effective notch stress concept.
Basavaraj S. Anami,Naveen N. M.,N. G. Hanamaratti 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4
Computer vision applications in the field of agriculture science are gaining importance. The paper presents a method for recognition of paddy varieties from bulk paddy grain image samples based on color texture features extracted from color co-occurrence matrices. The color texture features are obtained from H, S and I color planes and their combinations. The feature set is reduced based on contribution of features to the recognition accuracy. The reduced feature set of the HS plane includes Energy, Entropy and Correlation features from Hue plane and Energy, Entropy, Contrast, and Correlation features from Saturation plane. The paddy grain images are recognized using a multilayer feed-forward artificial neural network. The considered fifteen paddy varieties have given the recognition accuracy of 92.33%. The work is useful in developing a machine vision system for agriculture produce market and developing multimedia applications in agriculture sciences.
Behavior of Water Droplet on the Polymer Surface and Influence of the Charge
Zhu, Yong,Yamashita, Seiji,Anami, Naoya,Otsubo, Masahisa,Honda, Chikahisa,Takenouchi, Osamu,Hashimoto, Yousuke The Korean Institute of Electrical Engineers 2003 KIEE International Transactions on Electrophysics Vol.3C No.3
This paper describes the results of experiments made to examine the behavior of water droplet on the polymer surface and influence of the charge. In this experiment, water droplet was put on the polymer surface in an applied AC electric field and the investigations of its behavior were done with a high-speed video camera. It can be observed that the droplet elongates and vibrates with being pulled towards the positive electrode in a wave synchronism with the frequency of the power source. The volume and conductivity of water droplet are shown to have a marked effect on the mode of discharge development. These behaviors may be caused by the change of electric field of applied AC voltage and induced charges in/on the water droplet.
Behavior of Certain Wavelets in Classification of Orthopaedic Images of Different Modalities
M. V. Latte,Kumar Swamy.V,B.S.Anami 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
Orthopedicians often identify imaging modality visually out of their experience. To be effective, the process needs to be automated. This paper presents a behavior of wavelets in classification of orthopedic imaging modalities using Artificial Neural Network (ANN). In this work, we have considered orthopedic imaging modalities, namely, X-ray, CT and MRI and Bone scan images. Four wavelets, namely Haar, Daubechies, Symlets and Coiflets are used for sub band decomposition and their approximation co-efficients are recorded. Features, namely, mean standard deviation, median, variance and entropy is drawn from the decomposed images. Results are drawn from the performance of these wavelets at five levels of decomposition. Feature reduction is based on the classification accuracies which are analysed using wavelets. The experimental results show that the proposed method achieves satisfactory results with an average accuracy of 98% for four wavelets and for all the modalities considered. The study can be extended to include other modalities in medical field. The work is useful for orthopaedics practitioners.
Ashok Kumar Krishnakumar,Jayanthi Malaiyandi,Pavatharani Muralidharan,Arvind Rehalia,Anami Ahuja,Vidhya Duraisamy,Usha Agrawal,Anjani Kumar Singh,Himanshu Narayan, Singh,Vishnu Swarup Korean Chemical Society 2024 대한화학회지 Vol.68 No.3
Indian spices are well known for their numerous health benefits, flavour, taste, and colour. Recent Advancements in chemical technology have led to better extraction and identification of bioactive molecules (phytochemicals) from spices. The therapeutic effects of spices against diabetes, cardiac problems, and various cancers has been well established. The present in silico study aims to investigate the binding affinity of 29 phytochemicals from 11 Indian spices with two prominent proteins, BCL3 and CXCL10 involved in invasiveness and bone metastasis of breast cancer. The three-dimensional structures of 29 phytochemicals were extracted from PubChem database. Protein Data Bank was used to retrieve the 3D structures of BCL3 and CXCL10 proteins. The drug-likeness and other properties of compounds were analysed by ADME and Lipinski rule of five (RO5). All computational simulations were carried out using Autodock 4.0 on Windows platform. The proteins were set to be rigid and compounds were kept free to rotate. In-silico study demonstrated a strong complex formation (positive binding constants and negative binding energy ΔG) between all phytochemicals and target proteins. However, piperine and sesamolin demonstrated high binding constants with BCL3 (50.681 × 10<sup>3</sup> mol<sup>-1</sup>, 137.76 × 10<sup>3</sup> mol<sup>-1</sup>) and CXCL10 (98.71 × 10<sup>3</sup> mol<sup>-1</sup>, 861.7 × 10<sup>3</sup> mol<sup>-1</sup>), respectively. The potential of these two phytochemicals as a drug candidate was highlighted by their binding energy of -6.5 kcal mol<sup>-1</sup>, -7.1 kcal mol<sup>-1</sup> with BCL3 and -6.9 kcal mol<sup>-1</sup>, -8.2 kcal mol<sup>-1</sup> with CXCL10, respectively coupled with their favourable drug likeliness and pharmacokinetics properties. These findings underscore the potential of piperine and sesamolin as drug candidates for inhibiting invasiveness and regulating breast cancer metastasis. However, further validation through in vitro and in vivo studies is necessary to confirm the in silico results and evaluate their clinical potential.