This project is about an Arabic guide for building a supercomputer (cluster) based on raspberry pi nodes with a brief of the problems and the solutions needed, with an OpenCV application about counting stars in a Nasa Image
The research presents the design of a laboratory model to automate four traffic nodes using image processing - a proposal for a visual automated traffic system. By organizing the work of a traffic node, depending on the digital processing of the images of four cameras installed at the intersection.
As we enter the age of artificial intelligence, the need for intelligent home appliances has become very important for what this smart equipment can provide in the provision of electrical energy and water resources that are treasures should human pre
servation, in addition to the contribution of this equipment to protect the environment from pollution, where we face the challenges next:
High prices of electrical equipment.
The number of hours of electricity supply in many areas is low
because of the current conditions in our country.
- Water shortage.
- The rise in prices of materials used in daily life in general and
household detergents in particular
- Great waste of electricity.
- Pollution of the environment and groundwater with detergents used in the laundry process.
Moreover, the unjust economic blockade imposed on our country is pushing us to work to produce low-cost national housing equipment that competes with foreign products in order to alleviate the material burden on the citizens and promote the national economy.
In order to accomplish this smart washing machine, we have written a code for f type-2 fuzzy microcontroller, using the Python programming language. This controller has received four entries, which are: The first income (clothing color), obtained by taking a picture of the clothes that we need to wash by a camera with a resolution of 8 megapixels, analyzed using OpenCV library, and the second income (clothing type), determined by the local binary pattern algorithm, which is common digital image processing algorithm that widely used to identify shapes that follow specific pattern and structure, the third income (degree of dirt), and was identified by taking a picture of the clothes after soaking them with water for two minutes. The image was then analyzed by the OpenCV library and the fourth (washing weight) that getting From the Load Cell, which measures the physical weights. The readings were converted to digital values via the HX711 digital analogue converter and then sent to Arduino UNO to determine the weight. The weight values were eventually sent to the Raspberry PI for use in the controller. The system generates three exits: washing time (the length of time the laundry was washed), the temperature required for washing, and the amount of detergent required.
After selecting all the previous values, we transferred to control Wattar washing machine model 402, where the water valve was controlled to allow the water to pass into the powder box and from it to the washing basin. The water heater was controlled, which heated the water to the temperature determined by the Fuzzy algorithm, The temperature was monitored by the DS18B20 temperature sensor, which gives a signal to the Raspberry PI at the arrival of the temperature to the required value, and the washing machine engine is controlled for a third of the time specified in the Fuzzy algorithm and we controlled the pump Water to empty basin Washing from water, the process repeated for three consecutive times, we control using a software interface designed using TKinter library
We have been able to design a smart Fuzzy logic type-2 controller with the following advantages:
o save electricity consumption o Provide quantity of detergents o Shortenwashingtime
We have been able to control the following physical components within the washing machine:
o Control the water pump
o control Water valve
o controlMotor
o controlTemperaturesensor o controlLCDscreen
We have built a smart washing machine with the following characteristics:
o Have the ability to recognize the condition of clothes o Identify the type of clothing
o Identify the color of clothes
o Dothewashingwithoutusingapredefinedprogram.
The controller we designed gives good results to calculate the following:
o Washingtime
o Quantity of detergents o Temperature
All diagrams appear in the case of the incremental gradient with an increased degree of dirt and as values correspond to each type of clothing.
Keywords: smart washing machine, saving electricity, saving detergent, shortening washing time, color and clothing distinction, artificial intelligence, fuzzy logic type-2, Raspberry PI, control, Python programming language, HX711.
Geographic Information Systems) GIS), and its advanced spatial and statistical analysis of traffic accidents at the city level, play a key role in improving traffic safety and urban development. This paper presents a general methodology for spatial a
nd statistical analysis of traffic accidents within Homs city during three consecutive years 2007, 2008 and 2009. Maps are produced representing the spatial distribution of point traffic accidents within the city where is covered with a network of squares (300 m * 300 m) to identify the most dangerous areas in terms of the number of accidents. A map representing the most dangerous road segments is also produced in Homs city. In addition, the analysis of statistically significant hot spots (Getis-Ord Gi *) is performed. Through this study and the maps produced, dangerous areas and roads segments that have the largest number of accidents during the three years are well identified. These maps can be presented to decision-makers in the field of transport and traffic to study them from all aspects and work to solve the problems that led to an increase in the number of accidents.
Current studies in most developing countries focus on the development of cooling technologies due to the unreliable electrical supply and the urgent need for reliable cooling in areas connected to or independent of the network. In this research, the
performance of a 112L DC refrigerator was evaluated, whereby a single screw AC compressor was replaced by a variable speed VSDC compressor that can be operated by a solar PV system without an inverter.
يهدف البحث إلى تحديد العوامل الحرجة لنجاح تطبيق منهجية الستة سيغما في المنظمات السورية , وقياس مستوى توافرها في الشركة السورية للاتصالات, تم تحديد ثلاث فئات لهذه العوامل هي ثقافة الجودة , والتدريب, والادارة العليا.
تم اجراء الدراسة اعتمادا على تحلي
ل الدراسات السابقة واستنادا الى المنهج الوصفي (دراسة حالة) وتم توزيع استبانة على العاملين في الادارة المركزية للشركة محل البحث. بلغت نسبة الاستجابة (70.9%) وبلغت قيمة معامل كرونباخ ألفا (0.953).
أبرز النتائج : يوجد مستوى مناسب من عوامل فئة الادارة العليا لتطبيق منهجية ستة سيغما , ضعف مستوى عوامل فئتي ثقافة الجودة والتدريب , وجود استراتيجية وأنظمة قياس معلومات بدرجة مرتفعة تدعم تطبيق منهجية الستة سيغما.
