{"title":"Comparative Study of Spectrum Sensing for Cognitive Radio System Using Energy Detection over Different Channels","authors":"R. Abdelrassoul, Eman Fathy, M. Zaghloul","doi":"10.1109/WSCAR.2016.13","DOIUrl":"https://doi.org/10.1109/WSCAR.2016.13","url":null,"abstract":"The radio spectrum is the most source that needs to be utilized using cognitive radio (CR) system Detecting primary users (PU) over the spectrum is one of the problems that face cognitive radio system. To overcome this problem, we use sensing techniques like energy detection, matched filter detection and Cyclostationary feature detection. This paper focuses on spectrum sensing using energy detection technique for both cases over additive white Gaussian noise(AWGN) channel and Rayleigh fading channel. Also plots of the probability of missed detection (Pm) vs. probability of false alarm (Pf) for both channels were obtained using MATLAB software.","PeriodicalId":412982,"journal":{"name":"2016 World Symposium on Computer Applications & Research (WSCAR)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128224300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FLGBP: Improved Method for Gait Representation and Recognition","authors":"A. G. Binsaadoon, El-Sayed M. El-Alfy","doi":"10.1109/WSCAR.2016.29","DOIUrl":"https://doi.org/10.1109/WSCAR.2016.29","url":null,"abstract":"Gait recognition is one of the lately emerged technologies in the field of biometrics which has various applications in the security and medical domains. This paper presents a novel holistic method for vision-based gait representation and recognition, named FLGBP. This method adopts the gait energy image to capture the spatio temporal characteristics of the human gait sequence during one motion cycle. Then, it applies Gabor filters and encodes the magnitude of the resulting Gabor image using a fuzzy local binary pattern (FLBP) operator. Gabor magnitude is utilized due to its richness of discriminative gait information rather than the phase of Gabor responses. A comparative study is made to measure the degree of improvement of FLGBP over other local Gabor patterns. Experiments are conducted using CASIA B dataset and classification is performed using the support vector machine (SVM). Experimental results show promising performance for the proposed FLGBP descriptor.","PeriodicalId":412982,"journal":{"name":"2016 World Symposium on Computer Applications & Research (WSCAR)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117349520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved Bayesian Based Method for Classifying Disease Documents","authors":"H. Al-Mubaid, Mohamed Shenify","doi":"10.1109/WSCAR.2016.26","DOIUrl":"https://doi.org/10.1109/WSCAR.2016.26","url":null,"abstract":"Naïve Bayes has been proved to be decently competitive learning and classification approach in many fields and still been actively researched. We propose a Bayesian based classification method for biomedical disease-related documents. The proposed method relies on the difference in class distribution between the presence vs absence of the attributes. Specifically, in a simple inductive learning setting, the difference in class probability between the presence vs absence of feature fj can be a good metric for the contribution of fj in predicting the class. The proposed method works well with biomedical text abstracts as attribute values (feature count) of word features are not high. We found that heavy medical terms tends to occur with fairly low frequencies in these abstracts but have significant contribution in determining the class and the subject of the document. Therefore, this technique is suitable for biomedical text mining because it gives rise to terms with low per-document frequency and such terms play a good role in predicting the class in biomedical texts. The evaluation is conducted with seven datasets and compared to the Bayesian method as our baseline using accuracy and AUC with encouraging results, and the proposed method outperformed the baseline significantly. Moreover, we investigated the effect of low average frequency terms and their contribution in classification accuracy.","PeriodicalId":412982,"journal":{"name":"2016 World Symposium on Computer Applications & Research (WSCAR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125673704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Rahim, M. Z. Sahdan, A. S. Bakri, S. Yunus, J. Lias
{"title":"Low Temperature Growth of High Quality Crystal of Anatase Based-TiO2 Thin Film Grown Using Double Zone CVD Technique","authors":"M. Rahim, M. Z. Sahdan, A. S. Bakri, S. Yunus, J. Lias","doi":"10.1109/WSCAR.2016.23","DOIUrl":"https://doi.org/10.1109/WSCAR.2016.23","url":null,"abstract":"Titanium dioxide (TiO2) structure was successfully synthesized by the double zone chemical vapor deposition (CVD) technique. Titanium butoxide was used as precursor deposited at of 206 °C under different substrate temperatures ranging from 60°C to 80°C. The TiO2 film was growth onto glass substrates and the annealing temperature was kept at 500 °C for 1 hour. The films were investigated by XRD. The TiO2 films show good crystallinity without any impurity at (101) peak orientation with small FWHM anatase phase. It also was found that the surface morphology of the TiO2 at deposited at 60 °C show a homogeneous structure. The roughness of the TiO2 film was measured by AFM. The lower roughness is a film deposited at °C 60. The thickness of TiO2 film was measured by the surface profiler. By increase temperature on substrate temperature, TiO2 film thickness also increases. The resistivity has been measured using the 4-point probe and the lower resistivity found at 60 °C.","PeriodicalId":412982,"journal":{"name":"2016 World Symposium on Computer Applications & Research (WSCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127378576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}