http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Beacon-less Location Detection in Wireless Sensor Networks for Non-flat Terrains
Sireesha Krupadanam,Huirong Fu 보안공학연구지원센터 2008 International Journal of Software Engineering and Vol.2 No.3
In this paper, we develop a new beacon-less localization scheme for non-flat surfaces for wireless sensor networks. Simulations are conducted for a Gaussian distribution of nodes about the deployment points on the non-flat terrain, as well as a node deployment corresponding to the terrain surface characteristics. The localization errors for the proposed method, for a non-flat terrain with the Gaussian distribution of nodes and the terrain conforming distribution, are comparable to those in the case of the location discovery scheme in [1] for the flat surface. The localization errors, when the distribution of nodes corresponds to the terrain are slightly larger than when the nodes are normally distributed. The results are applicable to localization in real life wireless sensor networks deployed over non-flat terrains.
Enhancing Fault Divination Accuracy Using Naïve Bayes Classifier with PYTHON and PHP
M. Vijaya Bharathi,Rodda Sireesha 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.8
Programming Fault forecast has turned out to be most essential in programming Development uncommonly in programming Testing. The exact extrapolation of issues in conundrum can help to patch test effort, which decreases expenses and repair the nature of programming. Issue forecast model utilizing object situated measurements for code, datasets as info qualities to anticipate the issue probability by Naïve Bayes Classifier and these mock-ups have been far and wide utilized for bunching and grouping likewise exceptionally flawless eccentric to Bayesian systems for expansive range likelihood evaluation, generally in shortcoming expectation. In this paper, Naive Bayes classifier has been actualized on different consistent datasets.
Zubeda, Syeda,Kaipa, Prabhakar Rao,Shaik, Noor Ahmad,Mohiuddin, Mohammed Khaliq,Vaidya, Sireesha,Pavani, Boddana,Srinivasulu, Mukta,Latha, Manolla Madhavi,Hasan, Qurratulain Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4
Background: Categorizing breast tumors based on the ER, PR and HER/Neu 2 receptor status is necessary in order to predict outcome and assist in management of breast cancer. Herfe we assessed this question in South Indian patients. Materials and Methods: A total of 619 formalin fixed paraffin embedded breast tumor tissues were collected from pathology archives after receipt of ethical clearance. With the help of primary and secondary conjugated antibodies, expression status of ER, PR and HER2/neu was determined. All the experimental data were assessed for correlations with histopathological features of tumors and clinical presentation of the subjects. Results: In the present study, the ages ranged from 20-87 years with a mean of $50.0{\pm}12.q$ years, and majority of the tumors (84%) were of infiltrating duct cell carcinoma type. Assessment of ER, PR and Her-2/neu expression showed that 46% were triple negative. Interestingly, an inverse relation between ER, PR and HER-2/neu was apparent in 41.2% (p<0.0001) of the tumors, of which 24.5% (p<0.0001) were ER and PR co-negative but HER-2 positive. Conclusions: ER and PR positive tumors are less common (i.e<30%) compared to HER-2/neu positive tumors (i.e>50%) in Indian breast cancer patients, underlining the need for effective diagnostic screening and specific therapeutic managements in order to improve the survival rate of patients in low resource countries such as India.