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Search Results: 1 - 10 of 840 matches for " Benyamin Ebrahim "
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Tonic Pupil Following Pars Plana Vitrectomy and Endolaser
Benyamin Ebrahim,Larry Frohman,Marco Zarbin,Neelakshi Bhagat
Case Reports in Medicine , 2009, DOI: 10.1155/2009/970502
Abstract: Tonic pupil was observed in a 67 year-old patient following a retinal detachment repair with pars plana vitrectomy, endolaser and silicone oil tamponade performed under retrobulbar anesthesia. The probable location of disturbance is the postganglionic parasympathetic fibers in the short ciliary nerves along their course to the pupil in the suprachoroidal space. A likely explanation for this phenomenon is injury to short ciliary nerves by endolaser treatment.
Knowledge of Medical Records Staff of Mazandaran University of Medical Sciences Regarding the Maintenance of Patient Records after the Hospital Closure, 2009-2011
Azar Kabirzadeh,Benyamin Mohseni Saravi,Ebrahim Bagherian Farahabadi,Hasan Siamian
Electronic Physician , 2011,
Abstract: Objective: The objective of this study was to evaluate the Knowledge of Medical Records Staff of Mazandaran University of Medical Sciences Regarding the Maintenance of Patient Records after the Hospital ClosureMethods: This is a descriptive and cross-sectional study. There are 103 employees at the medical records department in the province of Mazandaran, 21 of whom did not agree to participate in the study. Therefore, 82 questionnaires were analyzed. Results: Of the 103 employees of the medical records department of hospitals run by the Mazandaran University of Medical Sciences, those not wishing to participate in the study were omitted. Thus, 82 questionnaires were analyzed. Results showed that two respondents (2.6%) had M.Sc. degrees, 37 (45.7%) had B.Sc. degrees and 42 (51.9%) were technicians of medical records. Eight respondents (10.1%) were trained in HIM responsibilities during a hospital closure, and 71 respondents (89.9%) had no training in this topic. Conclusion: Based on the answers provided, the results showed no significant relationship between general work experience and specific work experience in medical records. The correct answers are probably attributable to the fact that respondents received training related to other aspects of medical records and used that knowledge inferentially to give correct answers. Clearly, this training can reduce the chances of mistakes. Furthermore, results from this study indicate it is necessary to pass laws concerning the above-mentioned files, and that priority must be given to such legislation.
Identification of Noisy Utterance Speech Signal using GA-Based Optimized 2D-MFCC Method and a Bispectrum Analysis  [PDF]
Benyamin Kusumoputro, Agus Buono, Li Na
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.512B037
Abstract: One-dimensional Mel-Frequency Cepstrum Coefficients (1D-MFCC) in conjunction with a power spectrum analysis method is usually used as a feature extraction in a speaker identification system. However, as this one dimensional feature extraction subsystem shows low recognition rate for identifying an utterance speech signal under harsh noise conditions, we have developed a speaker identification system based on two-dimensional Bispectrum data that was theoretically more robust to the addition of Gaussian noise. As the processing sequence of ID-MFCC method could not be directly used for processing the two-dimensional Bispectrum data, in this paper we proposed a 2D-MFCC method as an extension of the 1D-MFCC method and the optimization of the 2D filter design using Genetic Algorithms. By using the 2D-MFCC method with the Bispectrum analysis method as the feature extraction technique, we then used Hidden Markov Model as the pattern classifier. In this paper, we have experimentally shows our developed methods for identifying an utterance speech signal buried with various levels of noise. Experimental result shows that the 2D-MFCC method without GA optimization has a comparable high recognition rate with that of 1D-MFCC method for utterance signal without noise addition. However, when the utterance signal is buried with Gaussian noises, the developed 2D-MFCC shows higher recognition capability, especially, when the 2D-MFCC optimized by Genetics Algorithms is utilized.
Pengembangan Sistem Penentu Sudut Pandang Wajah 3-D dengan Menggunakan Perhitungan Jarak Terpendek pada Garis Ciri dalam Ruang Eigen
Benyamin Kusumoputro,Rina Sripomo
Makara Seri Sains , 2002,
Abstract: In this paper, we implemented a visual point estimation system using the nearest feature line method that is developed on human face’s eigenspace representation. This methodology is developed as a subsistim in a 3-D face recognition system using a neural networks, in order to develop a high accuracy Automatic Face Recognition (AFR) system with low computational cost. Several images of Indonesian human faces with various visual points and expressions are used as the input to the developed visual points estimation system, and another images, with their visual points is not used in the generating the feature lines, then used as the testing images. Results of experiments show that the visual points estimation system could determined the pose of the unknown position of 3-D face with its highest accuracy is about 90%.
3-D Face Recognition System using Additional Feature Lines in Nearest Feature Line Method in Eigenspace Representation
Lina,Benyamin Kusumoputro
Makara Seri Sains , 2003,
Abstract: The additional feature lines can be acquired by projecting each feature point to other feature lines in the same class without increasing the number of feature points. With these additional lines, the system will have the ability to capture more variations of face images, so it can increase the recognition rate of the system. The authors also propose KL-TSubspace1 and KL-TSubspace2 as methods in transforming the 3-D face images from its spatial domain to their eigenspace domain. The experiments use the 3-D human faces of Indonesian people in various expressions and positions. Then, the system is applied to recognize unknown face images with different viewpoints. Experimental results shown that the system using KL-TSubspace2 and Modified Nearest Feature Line method can have the highest recognition rate of 99.17%.
Penggunaan Algoritma Genetika untuk Optimasi Jaringan Neural Buatan-Fuzzy dan Aplikasinya pada Sistem Penciuman Elektronik
Benyamin Kusumoputro,Ponix Irwanto
Makara Seri Sains , 2002,
Abstract: In this article we proposed a method for optimizing the structure of a fuzzy artifi cial neural networks (FANN) through genetic algorithms. This genetic algorithm (GA) is used to optimize the number of weight connections in a neural network structure, by evolutionary calculating the fi tness function of those structures as individuals in a population. This fuzzy neural is then applied as the pattern recognition in our developed odor recognition system. Experimental results show that the optimized neural system provides higher recognition capability compare with that of unoptimized neural system. Recognition rate of the unoptimized neural structure is 70.4% and could be increased up to 85.2% in the optimized neural system. It is also shown that the computational cost of the optimized structure of neural system is also lower than the unoptimized structure.
An artificial odor recognition system is developed for discriminating odors
Benyamin Kusumoputro,Wisnu Jatmiko
Makara Seri Sains , 2002,
Abstract: This artificial system consisted of 16 quartz resonator crystals as the sensor array, a frequency modulator and a frequency counter for each sensor that are connected directly to a microcomputer. We have already shown that the artificial odor recognition system with 4 sensors is high enough to discriminate simple odor correctly, however, when it was used to discriminate compound odors, the recognition capability of this system is dropped significantly to be about 40%. Results of experiments show that the developed artificial system with 16 sensors could discriminate compound aroma based on 6 gradient of alcohol concentrations with high recognition rate of 89.9% for non batch processing system, and 82.4% for batch processing of the classes of odors.
Trends in Breeding New Olive Varieties in Israel for Quality and Economic Management  [PDF]
Shimon Lavee, Benyamin Avidan, Giora Ben-Ari
Agricultural Sciences (AS) , 2014, DOI: 10.4236/as.2014.58073
Abstract:

The domesticated olives originated based on decades of selection from the natural forest around the Mediterranean basin being one of the oldest cultivated tree crops. The requirement for new olive varieties increased markedly during the last 100 years as a result of a worldwide transformation changing from a traditional extensive to a modern intensive mechanized industry. The traditional olive cultivars still widely used are selections from the local autochthonous cultivars which are well adapted to their natural environment. However, the level of production of those is usually rather low and many of them failed to respond enough to modern intensification methods. The wild olive population is gradually diminishing in all regions thus, natural selection is not efficient enough for developing the cultivars required for the new intensive olive industry. Cross breeding between cultivars with specific characters became the basis for the required new cultivars. The genetic diversity in progenies of most olive cultivars is extremely wide and thus becomes the basic source for breeding of the needed new cultivars. However, the genetic information on olive heredity and identification of specific gene characteristics is still limited. Genomic information is required for rational choice of genitors in accordance with each breeding aim, particularly as most criteria required for the new varieties are of multi-gene nature. The availability of advanced genomic information will also serve as basis for molecular engineering when accepted for use in the olive commodity. Geographically isolated olive populations developed during generations of inbreeding in remote regions are another important genetic resource of characters required for breeding the cultivars for the new modern mechanized olive orchards. The use of molecular markers based on AFLP, SSRs, DArT and SNPs is important for the choice of genitors leading to a reduction of the progeny size required in olive breeding. Presently the newly released olive cultivars are still the result of classical breeding.

Higher Prevalence of Prostate Cancer among Veterans with Type 2 Diabetes  [PDF]
Subhashini Yaturu, Nagwa Benyamin, Barbara Youngberg, Michael Marchese
Journal of Diabetes Mellitus (JDM) , 2017, DOI: 10.4236/jdm.2017.74026
Abstract: Background: Diabetes mellitus and cancer are common conditions. Based on epidemiological evidence, American Diabetes Association (ADA) and the American Cancer Society (ACS) concluded that patients with diabetes are at a higher risk for cancers in their joint position statement. That statement includes a meaningful association between cancer and diabetes; common risk factors for both; possible biological links between the two and also whether the diabetes therapy alters risk or prognosis of cancer. Additional comments included lack of association or evidence between diabetes and cancers such as lung cancer and lymphomas; and reduced risk of prostate cancer among subjects with type 2 diabetes. It was also stated that some cancers such as liver, pancreas, colon and rectum, breast, bladder and endometrial cancers. Since prevalence of diabetes is more than 25% among Veterans, our aim of this study was to evaluate the prevalence of various cancers among Veterans with type 2 diabetes at Albany, NY. Methods: In a single center, retrospective chart review study was carried out using computerized patient records, after the Institutional Review Board and Research and development review board at Veterans health administration at Stratton VA MC at Albany, New York. Using CPT codes and verification by review of clinical and laboratory information, the study was carried out. The information collected include the BMI, smoking status, duration of diabetes, medications used, other medical problems such as hypertension, atherosclerotic cardiovascular disease, various cancers; laboratory data included HbA1C, eGFR, Creatinine and lipid parameters. Results: The study identified 6777 subjects with type 2 diabetes with a mean age of 61 ± 10 and BMI of 32.6 ± 6. Total of 1046 subjects identified with cancers, after exclusion of skin cancers. The most common cancers among Veterans with type 2 DM are prostate cancer, colon cancer, bladder cancer and Lung Cancer. Other cancers include renal cell cancer, liver cancer, pancreatic cancer, lymphomas and breast cancer.
Improvement of Recognition Capability of Fuzzy-neuro LVQ using Fuzzy Eigen Decomposition for Discriminating Three-mixture Fragrances Odor
Benyamin Kusumoputro,Lina,Brahmasto Kresnaraman
Information Technology Journal , 2011,
Abstract: Artificial odor recognition system is developed for automation of detection and classifications of aromas, fragrances, vapors and gases. We have developed various artificial neural networks algorithms used as the pattern classifier for recognizing mixture fragrances, including the family of fuzzy-neuro LVQ (FNLVQ) algorithms. The developed neural networks classifiers however, show low recognition rate when it was used to recognize three-mixture fragrances problems. There are still major difficulties in the usage of FNLVQ algorithms, i.e., choosing the initialization of the fuzzy-reference vectors. The initialization step is important due to different selections of the initial reference vectors may potentially lead to different partition for different classes, which hampered the superiority of the algorithm. In present study, we proposed a novel initialization method, i.e., by transforming all the fuzzy vectors from the original aroma space into its eigenspace prior the usage of FNLVQ. Experiments are conducted using our odor recognition system and the performance of FNLVQ in eigenspace shows higher recognition rate compare with that in the aroma space, especially for 18 classes of three-mixture fragrances odor problem.
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