Archive of

Advanced Engineering Science

Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-01-2024-666

Abstract : Egypt has recently prioritized the economic value of various sites in Greater Cairo, encouraging Egyptian Vision 2030 to propose several high-value redevelopment projects targeting the replacement of deteriorating areas. These projects have received criticism and are labeled with weaknesses, most notably their weak response to local community needs. This urges the investigation of the production process of these projects identifying the factors shaping this process. This study mainly focuses on the local community strength as one of the influential factors in these projects’ level of response to community needs. To help examine the impact of community strength on the production of these projects in Egypt, a theoretical framework has been constructed as a result of reviewing international literature on similar international practices. Then, using this framework as a tool to help collect and qualitatively analyze data from the local context. The study draws on a case study applied to the Maspero Triangle Redevelopment Project in Cairo. The results show the poor response of the Maspero Triangle redevelopment project to the local community needs, despite the latter being a strong community. In this case, community strength is far outweighed by more influential factors shaping the project's production process on top of which is the government's tendency to achieve maximum profit and quick financial returns. Against the internationally accepted notion about the positive correlation between community strength and the responsiveness of redevelopment projects to their needs, the Egyptian case stands as an exception..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-09-01-2024-665

Abstract : It is generally acknowledged that energy is a basic requirement for humankind's daily survival. However, due to the steadily increasing need for energy, the researcher's focus has switched to renewable energy sources in an effort to reduce reliance on fossil fuels. Additionally, these fossil fuels' detrimental effects on the biosphere contribute to global warming. In that circumstance, biodiesels are the most useful type of green energy. Typically, a transesterification process using an appropriate catalyst is used to create biodiesel. Depending on the fatty acids, the catalyst can be homogeneous or heterogeneous; in this study, heterogeneous catalyst was utilised since it is reusable and simple to separate. A precise modelling tool, such as machine learning (ML) and artificial intelligence, is needed for biodiesel production since it is a complex process that deals with non-linear interactions between input and output variables. Machine learning is helpful for modelling the transesterification process, physico-thermal properties, and combustion engines that burn biodiesel because it produces superior results with high precision and is stimulated by the human brain's automatic learning. This review article discusses how machine learning technology is being used to forecast the characteristics of biodiesel, including its cetane number, viscosity, heating value, cold flow properties, oxidation stability, density, flash point, and iodine value..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-12-2023-656

Abstract : In this work, a approach for controlling a hybrid system is presented thought the important application of a three cells multicellular converter. The hybrid nature of these systems lies in the presence of continuous variables and discrete variables, which represent the evolution of the load current and the voltage across the floating capacitors and the state of the switches respectively. In order to obtain a good operation of this converter, it is necessary to ensure the voltage balance in the cells. The objective is to control the floating voltages, and the load current around their reference values. For this reason the operating modes of the system are governed by the references of the floating voltages and the load current. The importance of the hybrid approach is demonstrated by intensive simulation results. It is shown that the presented controller for multicellular converter has fast tracking capability, and is robust to load disturbance..
Full article

Journal Visit

Top Visit

Medium Visit

Less Visit

Not Visit