70 research outputs found

    Effect of Seaweed Extract and Phosphorous Application on Growth and Yield of Pea Plant

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    Effect of seaweed extract "kelp 40" and phosphorous application in two pea cultivars was investigated during the growing season 2011/2012. Pea Pisium sativum L. cultivars namely "little Marvel" and "Fabreca" were cultivated and sprayed twice at 3-5 true leaf stage and after two weeks later by "kelp 40" at concentration 0, 2 and 4 ml/l. phosphorous application added after two week from germination at the levels : 0 and 160kg P205/Ha. Data revealed that the effect of "Kelp 40" was positive and correlated with the applied concentrations. Applying with "Kelp 40" increase the response of different growth parameters and yield responses. The effect of phosphorous application gave positive responses in growth and yield. Data showed that varietals differences were clear where "Little Marvel" CV. Was superior growth and yield compared to other cultivar. Data indicated that "Kelp 40" gave the better values in all parameters studied

    Effect of Extensive Use of Granite Countertops on the Îł-Radiation Dose to Occupants of the New Buildings of King Abdulaziz University

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    Exposure dose due to Îł-radiation was measured in the new buildings of King Abdulaziz University using an advanced car-borne monitoring system to evaluate the effect of the extensive use of granites on the exposure dose rate to occupants. The measurements were conducted inside and outside the new buildings. For comparison, measurements inside the old buildings of limited granite use were conducted. The results indicated that the average exposure dose rate in the corridors of granite countertops was 0.115 ÎĽSv/h compared to 0.093 ÎĽSv/h in corridors of marble floors in the old buildings. About 4.2% increase in the annual effective dose due granite use was estimated. A maximum excess fatal cancer risk to an individual working in the new buildings due to exposure to excess Îł-radiation from granite countertops was estimated by 1.4x10-6. The obtained results are discussed in detail and some conclusions are drawn

    Lane detection system for day vision using altera DE2

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    The active safety systems used in automotive field are largely exploiting lane detection technique for warning the vehicle drivers to correct any unintended road departure and to reach fully autonomous vehicles. Due to its ability, to be programmed, to perform complex mathematical functions and its characterization of high speed processing, Field Programmable Gate Array (FPGA) could cope with the requirement of lane detection implementation and application. In the present work, lane detection is implemented using FPGA for day vision. This necessitates utilization of image processing techniques like filtering, edge detection and thresholding. The lane detection is performed by firstly capturing the image from a video camera and converted to gray scale. Then, a noise filtering process for gray image is performed using Gaussian and average filter. Methods from first and second order edge detection techniques have been selected for the purpose of lane edge detection. The effect of manually changing the threshold level on image enhancement has been examined. The results showed that raising threshold level would better enhance the image. The type of FPGA device used in the present work is Altera DE2. Firstly, the version DE2 Cyclone II start with (11xxxxxx-xxxx) together with Genx camera has been used. This camera supports both formats NTSC and PAL, while the above version of FPGA backups only NTSC format. The software of lane detection is designed and coded using Verilog language

    The Effect of Gender, Experience, and Training on Teachers’ Written Corrective Feedback Practices

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    This study investigated whether EFL Post-Basic education teachers’ perceptions toward teachers’ practice of written corrective feedback (WCF) varied according to three contextual variables gender, teaching experience, and in-service training on WCF. It also attempted to investigate the challenges teachers encounter when providing WCF. The quantitative data was collected from 156 EFL teachers who were teaching Post-Basic education grades (11-12). The participants were randomly selected from three governorates in Oman: Muscat, Al Batinah South, and Sharqia North. The study showed that the only variable that had an effect on teachers’ perceptions was the number of training workshops/courses received on WCF. It also revealed that teachers perceived the challenge of focusing on all types of errors (content, organisation, and language) simultaneously as the most common difficulty they were experiencing. Some suggested recommendations of the study for the Ministry of Education, EFL teachers, and further studies were finally provided

    Levels and Types of Questions Raised by EFL Teachers in Southern Al-Mazar Directorate of Education

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    This study aimed at investigating the levels and types of questions raised by EFL teachers in Southern Al-Mazar directorate of Education. The study comprised (12) female/ male teachers. The results of the study showed that; male/female teachers asked (1603) questions; (1290) questions were within the low level and (313) questions were high level. Female/male teachers asked (1603) questions where (393) questions were open and (1210) were ended questions . The results also, showed that female teachers asked (729) questions whereas male teachers asked (874). Also, the results of the study showed that females/ males teachers with high experience asked questions more than those teachers with less experience. In light of the results of the study, the researcher had suggested some recommendations to the concern.Key words: Levels of questions; Types of questions; EFL teachers questionsRésumé Cette étude visait à étudier les niveaux et types de questions posées par les enseignants EFL dans le sud de Mazar Al-Direction de l’éducation. L’étude comprenait (12) enseignants de sexe féminin/ masculin. Les résultats de l’étude a montré que, mâle/ femelle des enseignants a demandé (1603) des questions; (1290) des questions se situaient dans le bas niveau et (313) questions étaient de haut niveau. Les enseignants des femmes/ hommes a demandé (1603) questions où (393) des questions étaient ouvertes et (1210) ont été clos questions. Les résultats ont également, a montré que les enseignantes demandé (729) des questions alors que les enseignants masculins a demandé (874). En outre, les résultats de l’étude a montré que les femelles ou les mâles des enseignants ayant une expérience de haute posé des questions plus que ces enseignants ayant moins d’expérience. À la lumière des résultats de l’étude, le chercheur a suggéré quelques recommandations à la préoccupation.Mots clés: Niveaux de questions; Types de questions; EFL questions d’enseignan

    CRIME RATE PREDICTION USING THE RANDOM FOREST ALGORITHM

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      An act that creates crimes punishable by law is characterized as a crime. Rape, fraud, terrorism, kidnapping, burglary, murder, and other crimes are common in Nigeria. Examples are cybercrime, bribery and corruption, robbery, money laundering, among other crimes. Crime is a harmful and widespread social issue that affects individuals all around the world. The rate of crime has risen dramatically in recent years. To cut down on crime, at any rate, law enforcements must take preventative actions. To protect society against crime, modern systems and new technologies are required. Although accurate real-time crime study is on aid in reducing crime rates, they are nonetheless useless. As crime occurrences are dependent on, this is a difficult subject for the scientific community to solve. Therefore, this paper proposes machine learning algorithm to indicate the frequency and pattern of crimes based on the data collected and to show the extent of crime in a particular region. Various visualization approaches and machine learning algorithms are used in this study to anticipate the crime distribution over a large area. In the first stage, raw datasets were processed and visualized according to the requirements. Then, to extract knowledge from these massive datasets, machine learning methods were deployed and uncover hidden patterns in the data, which were then utilized to investigate and report on crime patterns, It is beneficial to crime analysts. Investigate these crime networks using a variety of interactive crime visualizations. As a result, it is helpful in crime prevention

    Design of Frequency Reconfigurable Multiband Compact Antenna using two PIN diodes for WLAN/WiMAX Applications

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    YesIn this paper, we present a simple reconfigurable multiband antenna with two PIN diode switches for WiMAX/WLAN applications. The antenna permits reconfigurable switching in up to ten frequency bands between 2.2 GHz and 6 GHz, with relative impedance bandwidths of around 2.5% and 8%. The proposed antenna has been simulated using CST microwave studio software and fabricated on an FR-4 substrate. It is compact, with an area of 50 Ă— 45 mm2, and has a slotted ground substrate. Both measured and simulated return loss characteristics of the optimized antenna show that it satisfies the requirement of 2.4/5.8 GHz WLAN and 3.5 GHz WiMAX antenna applications. Moreover, there is good agreement between the measured and simulated result in terms of radiation pattern and gain.Engineering and Physical Science Research Council through Grant EP/E022936A
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