http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Sudipta Roy (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Brain Tumor Classification using Adaptive Neuro-Fuzzy Inference System from MRI
Sudipta Roy,Shayak Sadhu,Samir Kumar Bandyopadhyay,Debnath Bhattacharyya,Tai-Hoon Kim 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.3
Detecting correct type of brain tumor is a crucial task for diagnosis and curing the tumor. Identifying the correct type of brain tumor can provide a fast and effective way to plan the diagnosis of tumor. The proposed system provides a fast and efficient way to identify the correct type of tumor and classify it to the respective class label. Our proposed system is comprised of multiple stages. In the first stage MRI image is taken as input and is normalized. The second stage includes extraction of feature vectors from the image which results in reducing redundancy of data and will serve as the input to the classifier. The classifier takes each tuple of feature extracted vector to produce classified output. Performance analysis shows that our proposed methodology has performed very efficiently and accurately. In our work we demonstrate the application of Fuzzy Inference System (FIS) based classifier known as Adaptive Neuro Fuzzy Inference System (ANFIS) to successfully classify the input tuples in comparison to other two selected classifiers namely: Artificial Neural Network with Backpropagation Learning Model and K-Nearest Neighbors.
-
Sudipta Chand,Polymersetty Chandrasekhar,Sudesna Roy,Saranjit Singh 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.11
In the present work, x wt% B4C(x = 2, 4, 6, 8) and 2 wt% BN reinforced aluminum 6061 metal matrix hybrid compositeswere synthesized by mechanical milling for 10 h. The milled powders were consolidated by cold uniaxial compaction atvarious compression pressure (200–800 MPa) and then sintered at various temperatures (400–600 °C). Microstructuralcharacterization of the milled powders and the fabricated composites were performed by X-ray diffraction, scanning electronmicroscope, and energy dispersive spectroscopy techniques. The effect of B4C/BN reinforcements on the densification ofthe milled powders was studied in terms of compressibility and sinterability. The mechanical properties, specifically thegreen compressive strength, and hardness of the composites were also investigated. The empirical relations formulated byHeckel, Panelli-Filho, and Ge were used to plot the compressibility curves of the developed composites to study the compressibilitybehavior of the milled powders. The densification co-efficient (K) of the powders and sinterability behavior ofthe composites decreased with an increase in B4Creinforcement. B4Cparticles prevented the grain growth by seizing thegrain boundary, resulting in refinement of grains and enhancement in mechanical properties The maximum compressivestrength of 249 MPa and hardness of 184 HV was observed for the sample Al6061–8 wt% B4C–2 wt% BN compressed at800 MPa and sintered at 600 °C.
-
Mobility-Aware Node Clustering with Fuzzy Logic for Wireless Mesh Network
Tapodhir Acharjee,Sudipta Roy 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.12
In recent times, Wireless Mesh Network (WMN) has received prominence worldwide due to the evolution of wireless networks as a ubiquitous and seamless broadband service provider. Routing on WMNs is one of the most prominent research issues on these days. Hierarchical clustering based routing protocols are proposed by the researchers for large networks. In these protocols, all the available nodes are grouped into clusters. Each clus-ter consists of cluster members, cluster head and gateway nodes where cluster head plays the most vital role to form an efficient cluster. Selection of a better cluster head depends on the decisions made from different parameters and their relations. In this situation, fuzzy logic suits better by providing better analysis and helps to make the right decision based on different parameter values and their relations. In this paper, a fuzzy logic based hierarchical clustering technique is proposed for WMN. The proposed technique along with the existing Fuzzy Logic Control Clustering Algorithm(FLCCA) are experimented using the simulation software NS3 and the simulated results are compared to establish the efficiency of the proposed technique.
-
Swati Chowdhury,Sudipta Roy,Anirban Mitra,Prasenjit Das 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7
Image segmentation subdivided an image into its constituent regions or segments. This regions or segments of an image is known as ‘cluster’ and the method used for this is called ‘clustering method’. There are different methods or algorithms are out there to segment an image. There is a problem with those algorithms user has to supply the number of cluster in which it has to be segmented. Here we introduced a method using combination of both entropy of RGB color component and histogram to automatic determination of cluster present in a color image.
-
Dukryel Kwon,Hyunah Park,Chongmu Lee,H. T. Jeon,S Ghosh,Sudipta Roy 한국물리학회 2004 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.44 No.52
Cu seed layers deposited by magnetron sputtering onto tantalum nitride barrier lms were treated with an electron cyclotron resonance (ECR) plasma to enhance Cu nucleation prior to Cu electroplating. Then, the copper lms were electroplated and annealed by rapid thermal annealing (RTA) or rapid thermal nitridation (RTN) at various temperatures ranging from 200 to 500 C. The eects of annealing on the copper lms electroplated on the hydrogen ECR plasma cleaned copper seed layers were investigated using X-ray diraction (XRD), electron back-scattered diraction (EBSD), and atomic force microscopy (AFM). It appears that the copper lm undergoes complete recrystallization during annealing at a temperature higher than 400 C. The resistivity of the Cu lm tends to decrease and the degree of (111) preferred orientation tends to increase as the annealing temperature increases. The optimum annealing condition for obtaining the lm with the lowest resistivity, the smoothest surface, and the highest degree of the (111) preferred orientation is rapid thermal nitriation (RTN) at 400 C for 120 s. The resistivity and the surface roughness of the electroplated copper lm annealed under this condition are 1.98 -cm and 17.77 nm, respectively.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
