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A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions. The work presented in this paper involved developing an iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric. For determining the recognition performance of the system one databases of digitized grayscale eye images were used. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed. The system performed with perfect recognition on a set of 450 eye images; however, tests on another set of 340 images resulted in false accept and false reject rates of 0.005% and 0.238% respectively. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.

Today, world is witnessing an economic crisis from many directions. Labor market is one of the main stakeholders of global economic crisis; there is a demand-supply lag that has severe consequences on youth and dependent population of any country all over the world. Entrepreneurship is one way that can settle the market disturbances. As more young people pursue entrepreneurship, employment opportunities are created, and hence economic cycles return to recovery phase at macro level. Youth entrepreneurship is vital for any successful economy or the world at large with effect to globalization. As easy as it may seem, there exist market imperfections, and hence intervention is required in terms of public policies and programs to provide selective initiatives and opportunities to young entrepreneurs help face the significant barriers, especially women- a great potential in the entrepreneurial sector. Present study aims to investigate the passion of entrepreneurship among the Pakistani youth. Data of 400 respondents was collected from internet sources.

The aim of this study was to determine the physicochemical properties in some Iranian genotyps of sour cherry fruits. Knowledge of fruit biochemical properties is very important for perception of product behavior during harvesting, transportation, packaging, storing and regeneration programs. In this study, 10 Iranian sour cherry: SH101, SH102, SH103, … for SH110 were analysed. For evaluation of antioxidant capacity and its relation with total phenolics and flavonoids, total antioxidant capacity {measured with method: ferric-reducing antioxidant potential (FRAP)} and total phenolics and flavonoids in fruits extracts of aforementioned sour cherry genotyps were measured and then, correlation of these parameters were evaluated. The highest °Brix among the studied genotyps corresponded to ‘SH101’ and the highest fruit titratable acidity (TA) correlated to ‘SH104’. The highest values of vitamin C corresponded to ‘SH101’ and ’SH109’ had the lowest vitamin C. The highest and lowest values pH corresponded to SH106. Results revealed that ‘SH101’ and ‘SH110’ among the studied genotyps had the best antioxidant activity, flavonoid content and fruit quality attributes.

Underwater images have a wide range of applications in different fields. But underwater images have poor visibility, low contrast and diminishing colors. These all problems erupt as a result of the haze present in underwater images which seriously lowers the quality of underwater images. So, underwater image dehazing or haze removal is important. Haze removal is a challenging and complex problem because it is based on unknown depth information. This paper has reviewed various techniques for haze removal in underwater images. Every technique has its own advantages and limitations. This paper has also discussed the methods, advantages and limitations of various underwater image haze removal techniques.

The present paper focuses on the problems faced be prospective teachers during teaching practice in teacher training institutions. The teacher training institutions responsible for preparing prospective secondary school teachers just like Institute of Education and Research. Teaching practice is the essential part of teacher training programmes in Pakistan. It provides opportunities to prospective teachers to develop and improve their professional practices. The research study aims at identifying the level of problems experienced by prospective teachers of Institute of Education and Research (IER) during their teaching practice in different schools. The sample for this study was contained 125 female prospective teachers. A questionnaire and informal discussion with schools heads and teachers were used as data collection tools. The questionnaire contained 25 close ended and 5 open ended questions. Data was collected from all the personnel concerned with this activity. The results of research show that the time period allocated for teaching practice was insufficient. Prospective teachers were not completely guided before teaching practice. The allocated supervisors were not adequate to evaluate the performance of Prospective teachers effectively.

In recent years, much research has been devoted to the exploration of operating systems; contrarily, few have studied the simulation of the memory bus. Given the current status of encrypted configurations, end-users famously desire the private unification of multi-processors and the transistor, which embodies the practical principles of algorithms. Kop, our new heuristic for the deployment of checksums, is the solution to all of these challenges.

The present study was carried out to determine on hydrography; composition and community structure of zooplankton at the Muthupettai mangrove environment, Palk Strait (Southeast coast of India), during February 2006 to January 2007. Physico-chemical parameters and nutrients such as air temperatures, surface water temperatures, salinity, pH, light extinction coefficient (LEC), dissolved oxygen , nitrite, nitrate, inorganic phosphate and silicate were at the ranges of 21-32.8ºC, 23- 31.0°C, 14.5- 34‰,7.4-8.3, 0.21- 0.83, 3.01 to 5.33mg/1, 0.122 to 2.08?M, 0.911 to 6.00?M, 1.03 to 2.98?M and 30.21 to 102.21?M, respectively. The maximum density was found during summer season coinciding with the stable hydrographical conditions. Totally 92 species of zooplankton besides 18 larvae were recorded and the foraminifera and copepods formed the dominant group. Higher values of zooplankton density and species diversity were found during premonsoon and summer seasons and which showed positive correlation with salinity. The seasonal distribution and abundance of plankton are discussed in relation to hydrographical parameters.

In present research investigation effect of antibiotics and vitamins on the activity of enzyme cellulase of post-harvest fungi of sapota fruits were studied. It was found that vitamins, amino acids and antibiotics significantly inhibit cellulase action of post-harvest sapota fungi. Vitamins, Folic acid and Riboflavin has been retarded cellulase action. It was observed that Arginine monochloride and Threonine inhibited enzyme action in Rhizoctonia solani (7mm, 8mm) and Geotrichum candidum (8mm, 10mm). It is interesting to note that Ampicillin inhibited cellulase activity in all the tested fungi.

Occurrences of certain defects are inevitable despite meticulous planning, proper process control, and good documentation during software development. Such defects lead to quality degradation which can be the underlying reason for failure. Conscious efforts are required to control and minimize software engineering defects, but this costs money, time and resources. Predicting defective software module facilitates maintenance and corrective measures. In Software Defect Prediction (SDP), predictive model estimation is based on code attributes to assess software modules containing errors likelihood. This study proposes improved activation function based on cubic spline for Multi-Layer Perceptron Neural Networks (MLPNN) to classify SDP. The proposed method is evaluated using KC1 dataset.

The authors have treated 29 cases of infected pseudarthrosis of tibia: 12 complications of open fractures of legs with loss bone stabilized firstly by external fixator; 09 closed fractures treated traditionally by jbira seen in pseudarthrosis infected, 05 cases of septic nonunion arising after plate osteosynthesis and 03 cases following centromedullary nailing. In all cases, two stage reconstruction: Initial surgery consisted of soft tissue and bone debridement, external fixation completed by Dressing percutaneous a day by antiseptic and intravenously antibiotic. After any remaining infection, at last 6 to 8 weeks, the reconstruction of the soft tissue with a free microsurgical muscle flap and skin graft. The second stage surgery consisted to replace external fixator by intramedullary nailing and the osseous reconstruction was cancellous or corticocancellous grafting. The final result was obtained after an average of 24 months and was excellent in 15 cases, good in 12 and 02 failures were observed. On the infectious; remaining infection were observed in 02 and required amputation of leg. The modified method of Papineau seems superior to any other method used for treatment of infected pseudarthrosis of tibia.