http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An alternative approach to investigate the origin of p-type conductivity in arsenic doped ZnO
Pranab Biswas,Palash Nath,Dirtha Sanyal,P. Banerji 한국물리학회 2015 Current Applied Physics Vol.15 No.10
P-type conductivity in MOCVD grown ZnO was obtained by directional thermal diffusion of arsenic from semi-insulating GaAs substrate. The films were single crystalline in nature and oriented along (002) direction. Ab initio calculations in the framework of density functional theory have been carried out with different chemical states of arsenic in ZnO. Present calculations suggested AsZn-2VZn defect is a shallow acceptor and results in ferromagnetism in ZnO. The magnetic measurements of the samples indeed showed ferromagnetic ordering at room temperature. X-ray photoelectron spectra confirmed the presence of AsZn and VZn. The core level chemical shift in binding energy of AsZn indicated the formation of AsZne2VZn. Diffused arsenic substitutes zinc atom and creates additional zinc vacancies. The zinc vacancies, surrounding the oxygen atoms, result in unpaired O 2p electrons which in turn induce ferromagnetism in the samples.
Parts of Speech and Sentence Type Determination based on Sentence Structure
Pranab Kumar Dhar,Subrata Sengupta,Jong-Myon Kim(김종면) 한국정보과학회 2008 한국정보과학회 학술발표논문집 Vol.35 No.2
This paper presents a new approach for parts of speech determination based on sentence structure. This approach can be classified as a rule based model for parts of speech determination. This model forms the sentence structure of an input sentence. It determines both the validity of the sentence using a phrase structure grammar and the correct parts of speech of the word used in the sentence from the valid sentence structure. This paper also presents the sentence type determination based on the sense, function, and structure formation of a sentence.
Mainstreaming Gender in Politics in Bangladesh: Role of NGOs
Pranab Kumar Panday,Shelley Feldman 서울대학교행정대학원 2015 Asian Journal of Political Science Vol.23 No.3
‘Gender mainstreaming’ has been regarded as one of the strongest approaches to deal with the issue of equality policy for women. In order to mainstream women in the political process, a number of NGOs have been carrying out different programs in Bangladesh for building awareness among women so that they could opt for participation in the political process. The paper analyzes the role of NGOs in the process of mainstreaming gender in politics in Bangladesh in general and in the enactment of the Local Government (Union Parishad) (Second Amendment) Act of 1997 in particular. Based on empirical data collected through an open-ended structured questionnaire and available secondary data, the study findings reveal that despite having no formal access to the policy process, NGOs augment participation of women in the political process through informal means as is exemplified by their training programs that enhance women’s social and economic status.
Copper-catalyzed Oxidative Olefination of Thiols Using Sulfones and Phosphorous Ylides
Pranab K.Shyam,이찬,장혜영 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.7
Copper-catalyzed one-pot conversion of thiols to olefins was conducted under aerobic conditions. Thiols were oxidized to generate thioaldehydes, which reacted with sulfones or phosphorous ylides to form the corresponding olefins. The formation of thiosulfonates and phosphorous sulfides confirms that these olefination protocols proceed via thioaldehyde-sulfone and thioaldehyde-ylide adducts.
Pranab Kumar Dhar,김종면 한국공학안전보건예술학회 2009 한국공학예술학회 논문지 Vol.1 No.-
본 논문은 시간, 주파수 및 스펙트로그램 표현에서 서로 다른 수염고래 노래의 특성을 보여준다. 각 고래의 노래 특성은 네 가지 파라미터인 피크 주파수, 노래의 주파수 범위, 노래 계속기간, 노래 재생의 패턴으로 분석된다. 여섯 마리의 서로 다른 수염고래 (혹등고래, 긴수염고래, 흰수염고래, 참고래, 밍크고래, 북극고래)의 실험 결과, 각 고래 노래는 정량화될 수 있는 독특한 특성을 가지고 있다. 본 논문에서 사용된 고래 노래는 전 세계의 서로 다른 대양에서 수집되었다. Cordell North Canyon의 혹등고래는 가장 높은 피크 주파수 (1348 Hz)를 발생시키는 반면, North Eastern Pacific의 흰수염고래는 가장 낮은 피크 주파수 (18 Hz)를 발생시킨다. 혹등고래는 600Hz에서 2800Hz의 최고 주파수 범위를 발생시키는 반면, 수염고래는 10Hz에서 40Hz의 최저 주파수 범위를 발생시킨다. 또한, 본 논문은 각 고래 노래 재생의 패턴을 분석한다. 혹등고래, 밍크고래, 참고래는 반복되는 유사한 노래를 발생시키는 반면, 북극고래, 흰수염고래, 긴수염고래는 반복되는 같은 노래를 발생시킨다. 이러한 평가기술은 고래 노래의 특수한 특징을 분류하는 솔루션을 제공한다. This paper presents the characteristics of different baleen whale songs in terms of time domain, frequency domain, and spectrogram representation. The song characteristics for each whale are analyzed with four parameters including peak frequency, frequency range of song, song duration, and pattern of song production. Experimental results for six different baleen whales (humpback, fin, blue, right, minke, and bowhead) indicate that each whale song has unique characteristics that can be quantified. The whale songs used in this study are recorded from different oceans of the world. Humpback whales of Cordell North Canyon produce the highest peak frequency (1348 Hz), whereas blue whales of North Eastern Pacific produce the lowest peak frequency (18 Hz). The humpback whales generate the maximum frequency range of song from 600 Hz to 2800 Hz, whereas fin whales generate the minimum frequency range of song from 10 Hz to 40 Hz. This paper also analyzes the pattern of song production for each whale. Humpback, Minke, and right whales produce similar repeated base unit of song, whereas bowhead, blue, and fin whales produce same repeated base unit of song. These evaluation techniques can provide solutions for characterizing specific features of whale songs.
Pranab Das,Dilwar Hussain Mazumder 한국전자통신연구원 2024 ETRI Journal Vol.46 No.2
To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has various challenges, including predicting and detecting hazardous COVID medicine responses. Moreover, correctly pre-dicting harmful COVID medicine reactions is essential for health safety. Significant developments in computational models in medicine development can make it possible to identify adverse COVID medicine reactions. Since the beginning of the COVID pandemic, there has been significant demand for developing COVID medicines. Therefore, this paper presents the transfer-learning methodology and a multilabel convolutional neural network for COVID (MLCNN-COV) medicines development model to identify negative responses of COVID medicines. For analysis, a framework is proposed with five multilabel transfer-learning models, namely, MobileNetv2, ResNet50, VGG19, DenseNet201, and Inceptionv3, and an MLCNN-COV model is designed with an image augmentation (IA) technique and validated through experiments on the image of three-dimensional chemical conformer of 17 number of COVID medicines. The RGB color channel is utilized to represent the feature of the image, and image features are extracted by employing the Convolution2D and MaxPooling2D layer. The findings of the current MLCNN-COV are promising, and it can identify individual adverse reactions of medicines, with the accuracy ranging from 88.24% to 100%, which outper-formed the transfer-learning model’s performance. It shows that three-dimensional conformers adequately identify negative COVID medicine responses.