Local and deep texture features for classification of natural and biomedical images

Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image classification, texture features proved to be very effective to capture the gradient variation in the image. Following the success of the Local Binary Pattern (LBP) descriptor, many variations of this descriptor were introduced to further improve the ability of obtaining good classification results. However, the problem of image classification gets more complicated when the number of images increases as well as the number of classes. In this case, more robust approaches must be used to address this problem. In this thesis, we address the problem of analyzing biomedical images by using a combination of local and deep features. First, we propose a novel descriptor that is based on the motif Peano scan concept called Joint Motif Labels (JML). After that, we combine the features extracted from the JML descriptor with two other descriptors called Rotation Invariant Co-occurrence among Local Binary Patterns (RIC-LBP) and Joint Adaptive Medina Binary Patterns (JAMBP). In addition, we construct another descriptor called Motif Patterns encoded by RIC-LBP and use it in our classification framework. We enrich the performance of our framework by combining these local descriptors with features extracted from a pre-trained deep network called VGG-19. Hence, the 4096 features of the Fully Connected 'fc7' layer are extracted and combined with the proposed local descriptors. Finally, we show that Random Forests (RF) classifier can be used to obtain superior performance in the field of biomedical image analysis. Testing was performed on two standard biomedical datasets and another three standard texture datasets. Results show that our framework can beat state-of-the-art accuracy on the biomedical image analysis and the combination of local features produce promising results on the standard texture datasets.Includes bibliographical reference

Effect of Addition AgNO3 on some Optical Properties of Polystyrene

في هذا البحث تم دراسة تأثير إضافة نترات الفضة على بعض الخواص البصرية للبولي ستايرين. ولهذا الغرض تم تحضير نماذج  بإضافة  AgNO3إلى البولي ستايرين وبنسب حجمية مختلفة من هذه الأملاح مع البوليمر وبسمك مختلف. تم تسجيل طيفي الامتصاص والنفاذية ولمدى الاطوال الموجية nm(1100-190). وحساب معامل الامتصاص و فجوة الطاقة للانتقال غير المباشر المسموح و الممنوع.In the present work, effect of addition AgNO3 on some optical properties of polystyrene has been studied. for that purpose, many samples has been prepared by adding AgNO3 on the polystyrene by different volume percentages from these salts with polymer and by different thickness.The absorption and transmission spectra has been recorded in the wavelength range (190-1100)nm. The absorption coefficient and energy gap of the indirect, allowed, forbidden transition have been determined. &nbsp

Schema Matching for Large-Scale Data Based on Ontology Clustering Method

Holistic schema matching is the process of identifying semantic correspondences among multiple schemas at once. The key challenge behind holistic schema matching lies in selecting an appropriate method that has the ability to maintain effectiveness and efficiency. Effectiveness refers to the quality of matching while efficiency refers to the time and memory consumed within the matching process. Several approaches have been proposed for holistic schema matching. These approaches were mainly dependent on clustering techniques. In fact, clustering aims to group the similar fields within the schemas in multiple groups or clusters. However, fields on schemas contain much complicated semantic relations due to schema level. Ontology which is a hierarchy of taxonomies, has the ability to identify semantic correspondences with various levels. Hence, this study aims to propose an ontology-based clustering approach for holistic schema matching. Two datasets have been used from ICQ query interfaces consisting of 40 interfaces, which refer to Airfare and Job. The ontology used in this study has been built using the XBenchMatch which is a benchmark lexicon that contains rich semantic correspondences for the field of schema matching. In order to accommodate the schema matching using the ontology, a rule-based clustering approach is used with multiple distance measures including Dice, Cosine and Jaccard. The evaluation has been conducted using the common information retrieval metrics; precision, recall and f-measure. In order to assess the performance of the proposed ontology-based clustering, a comparison among two experiments has been performed. The first experiment aims to conduct the ontology-based clustering approach (i.e. using ontology and rule-based clustering), while the second experiment aims to conduct the traditional clustering approaches without the use of ontology. Results show that the proposed ontology-based clustering approach has outperformed the traditional clustering approaches without ontology by achieving an f-measure of 94% for Airfare and 92% for Job datasets. This emphasizes the strength of ontology in terms of identifying correspondences with semantic level variation

The occurrence of Enterobacteriaceae bacteria in feathers after slaughter of poultry

The Enterobacteriaceae family is a very diverse group of microorganisms. Especially, it contains in its composition a unit of a pathogenic nature causing serious illnesses and health problems of people and animals. They are a huge problem in the environment of animal husbandry, processing and waste management.The purpose of this work was to determine the amount of contaminants with Enterobacteriaceae bacteria species after the slaughter of different poultry species. The study used a pre-selective propagation technique on MacConkey’s liquid medium. To confirm the presence of Enterobacteriaceae bacteria, the inoculation onto VRBDA medium was made. The numbers of population and results of the tests allowed for calculating the MPN and the titre of tested bacteria group. Tested samples contained feather waste after slaughter of poultry, i.e. chickens, ducks, geese and turkeys. Material was collected at different dates from three poultry slaughterhouses in Western Poland.Based on the results obtained, the numerous presence of Enterobacteriaceae family bacteria has been confirmed in the waste feathers of various poultry species following the slaughter. The number of Enterobacteriaceae bacteria differed significantly in different materials and dates of measurement, which could be due to the heterogeneity of the animals supplied to the plants

Carum carvi mediated green synthesis of copper nanoparticles and its effect on Solanum lycopersicum seedlings

The present study aims to synthesis the copper nanoparticles (CuNPs) and their effect on the biochemical and physiological characteristics of Solanum lycopersicum. The results exhibited the color change in the Carum carvi aqueous extract from clear deep brown to a greenish color and this observation indicated the green-biosynthesis of CuNPs by reduction of Cu+ to Cu0. Also, the absorbance broadening band for the green-biosynthetic CuNPs appeared at the 340 nm wavelength using UV-Vis but the C. carvi aqueous extract not showed any peaks at this wavelength. SEM analysis exhibited the micrographic surface morphology and the shape of the green-biosynthetic CuNPs with a scan area of 50 μm and showed the spherical shape particles of CuNPs aggregation. The three-dimensional image and the surface morphology of green-biosynthesized CuNPs and C. carvi aqueous extract were examined using AFM analysis that showed the surface of C. carvi aqueous extract was 45.5 nm size with non-homologus and irregular form of distribution, but the green-biosynthesized CuNPs were 12.4 nm size in nanoscale with regular and homogenous distribution form. The results also showed that the effect of bio-synthesized copper nanoparticles was evident on the S. lycopersicum seedlings fresh and dry weight according to the different reading times after treatment with nanoparticles. Also, the concentration of 2.5 mg/mL (CuNPs) showed a significant increase in the chlorophyll content (58.51 μg/cm²) on the 21st day after treatment and a significant increase in the activity of peroxidase enzyme (35.12 U min-1 mg-1 protein) was obtained at the concentration of 2.5 mg/mL (CuNPs) at 21st day after germination

Mechanical Properties Of Self Compacting Concrete Using Fly Ash

The purposes of this study were 1) to analyze the effect of fly ash on the mechanical properties of self compacting concrete; and 2) to determine the optimum fly ash content as cement replacement in improving mechanical properties on self compacting concrete at 28 days. This research was conducted in laboratory of Muhammadiyah University Surakarta. Primary and secondary data collection techniques were used in this research experiment. Primary data was collected directly form laboratory experiments. All the data was recorded on a daily basis until the research is completed. The researcher collected the data from the result of self-compacting concrete and compare to other standards to get the level of compressive strength and tensile strength. Self- Compacting Concrete is characterized by filling ability, passing ability and resistance tosegregation. Mechanical properties of self-compacting concrete modified with 0%, 15% and 35% Fly ash as cement replacement were studied. The main goal were to analyses mechanical properties (compressive strength, flexural strength and modulus of elasticity) of self- compacting concrete mix and to determine the optimum amount for Fly Ash replacement for improved mechanical properties. From the study results can be concluded that 1) the Slump Flow test results were increasing as the amount of Fly Ash increased within the allowable ranges of 500-700 mm in accordance to ASTM standard; 2) the compressive strength and modulus of elasticity measurement values decreased as the amount of fly ash increased from 0 to 35% whereas; and 3) the value for improved mechanical property of flexural strength was found at 15% Fly ash content

Analyses of the Polymorphisms in E. coli Strains Associated with Heat-Shock Proteins Hsp 55 Isolated from Bird Feathers

The bird feathers are often colonized by pathogenic microorganisms including mainly bacteria of the E. coli species. There is a grooving evidence that due to colonization of the pathogenic bacteria after slaughter material may lead to different zoonosis diseases that endanger human health. Poultry diseases are a very important issue both economically and epidemiologically in each country. Currently, in practice, EU postmortem monitoring programs are often used to eliminate breeding poultry infected with different pathogenic microorganisms, e.g., E. coli by introducing mandatory bird vaccination. The article describes the combination of genetic and genomic methods that were used in the analysis of species specificity of strains and their genomes, including specific pathogenic bacteria in bird feathers. The aim of the study was (i) to investigate DNA polymorphisms of the obtained bacterial strains isolated from avian feathers (ii) obtaining recombinant Hsp55 protein and defining its role as a potential component of vaccines used in poultry diseases. For the detection and analysis of DNA polymorphisms, we have optimized a new innovative method based on the deficiencies of three molecular techniques, AFLP, PCR-MP, and PCR MP. This new method can be a useful tool used in the genotyping of bacterial E. coli serotypes present on avian feathers after the slaughter process. It also allows to effectively identify a number of early stages of infectious diseases from heterogeneous avian research material. Amplification of polymorphic regions was achieved by using a lower denaturation temperature of the primers and a reduction in the number of cycles in the classical PCR, which simplifies the procedure, preserving the quality and reproducibility of the obtained results. Research of recombinant Hsp55 protein has allowed us to determine the optimal conditions for its production by the classical methods used in proteomic analysis

Work Environment And Corporate Culture Influence On The Performance Of Employees Of Pt. Tiga Serangkai Pustaka Mandiri

The purpose of this study are: first, to Determine the influence of the work environment on the performance of employees in the company; second, to Determine the influence of corporate culture on the performance of employees in the company; third, to Determine the influence of the working environment and corporate culture on the performance of employees in the company. This research is quantitative, by taking samples at PT. Tiga Serangkai Pustaka Mandiri, Surakarta, Indonesia. The study population and sample as many as 268 employees were taken by 100 employees. The technique of collecting data using questionnaires. The data analysis technique used is multiple linear regression analysis. The results obtained showed that: first, there is a positive and significant contribution of the work environment on employee performance at PT. Tiga Serangkai Pustaka Mandiri; second, there is a positive and significant contribution of the corporate culture on employee performance at PT. Tiga Serangkai Pustaka Mandiri; third, there is a positive and significant contribution of the work environment and corporate culture on employee performance at PT. Tiga Serangkai Pustaka Mandiri