The area around the Suez Canal has been chosen particularly Sinai to implement the new Suez Canal project parallel to the original 72-km-long channel due to the importance of the commercial site of the Arab Republic of Egypt, competing with shipping lanes, to accommodate the increasing maritime traffic passing through the Suez canal, and to provide special services for trade world and reduce the economic cost of marine trip. The establishment of six tunnels for automobile and railway transport to Sinai The cost of the establishment of this new channel and the establishment of the tunnels about (2.8) billion, of which 4 billion cost of the new channel. Project implementation period is one year. The new project of the Suez Canal passes in three stages, the first stage is the development of the ports of Port Said and Suez to become as a high-quality global warehouses, regarding with ship chandlers stations , and the establishment of a number of industrial projects which surround those areas. The second stage includes the creation of an industrial zone to host many industries such as the production of machinery and textile industry, building materials and packing factories and ship maintenance centers. The third phase is what is known as the valley of technology in Ismailia , which aims to create a technological area of high-tech industries, and complementary industries , research labs and training centers, the benefits of this project will provide a million jobs and increase national income to double the canal's revenues by about 259%. this project will be financed through the issuance of investment certificates only available to Egyptians whether individuals or institutions of different categories in Egyptian pounds. An estimate for the volume of investments in the Suez Canal, the focus of development projects by about $ 100 billion up to the year 2023 where 42 projects include the establishment of these will be on the table in front of Arab and foreign investments.
The drones have become the focus of researchers’ attention because they enter into many details of life. The Tri-copter was chosen because it combines the advantages of the quadcopter in stability and manoeuvrability quickly. In this paper, the nonlinear Tri-copter model is entirely derived and applied three controllers; Proportional-Integral-Derivative (PID), Fractional Order PID (FOPID), and Nonlinear PID (NLPID). The tuning process for the controllers’ parameters had been tuned by using the Grey Wolf Optimization (GWO) algorithm. Then the results obtained had been compared. Where the improvement rate for the Tri-copter model of the nonlinear controller (NLPID) if compared with
Strategic Cost Management Tools Under Technological Development and Change in Customer Tastes Critical Studies
The aim of the research is to identify the role of university education management in achieving sustainable environmental development.
<span lang="EN-US">Usability evaluation is a core usability activity that minimizes risks and improves product quality. The returns from usability evaluation are undeniable. Neglecting such evaluation at the development stage negatively affects software usability. In this paper, the authors develop a software management tool used to incorporate usability evaluation activities into the agile environment. Using this tool, agile development teams can manage a continuous evaluation process, tightly coupled with the development process, allowing them to develop high quality software products with adequate level of usability. The tool was evaluated through verification, followed by the validation on satisfaction. The evaluation resu
... Show MoreSensibly highlighting the hidden structures of many real-world networks has attracted growing interest and triggered a vast array of techniques on what is called nowadays community detection (CD) problem. Non-deterministic metaheuristics are proved to competitively transcending the limits of the counterpart deterministic heuristics in solving community detection problem. Despite the increasing interest, most of the existing metaheuristic based community detection (MCD) algorithms reflect one traditional language. Generally, they tend to explicitly project some features of real communities into different definitions of single or multi-objective optimization functions. The design of other operators, however, remains canonical lacking any inte
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