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IJASCSE Volume 11 Issue 06
MULTI-OBJECTIVE ECONOMIC EMISSION DISPATCH SOLUTION USING HYBRID MONKEY ALGORITHM
Author:
Naas KHERFANE; Faculté of technology, University Saad Dahleb Blida1 09000Algeria
Co-Authors (s) :
Fouad KHODJA, Riad Lakhdar KHERFANE, Mimoun YOUNES Samir KHERFANE, Abderrahmane AMARI -- Faculté of technology, University Saad Dahleb Blida1, University of Kasdi Merbah Ouargla, University Djilali Lyabes Sidi Belabès, University Ziane Achour Djelfa, Algeria.
Keywords:
Economic power dispatch (EPD) , Combined economic emission dispatch (CEED), Monkey algorithm (MA), Particle Swarm Optimization (PSO), Hybrid method.
e-Mail:
kherfanas@gmail.com
Abstract::
The main contribution of this paper is the application of the technique of hybridization between two meta-heuristics methods, PSO and MA, for solving the problem of economic and environmental dispatching, which is a multi-objective problem. The two contradictory objectives: fuel costs and emissions must be minimized at the same time while satisfying certain constraints of the system. In a multi objective optimization problem, to obtain good solutions, the concept of Pareto dominance is used to generate and sort dominated and non-dominated solutions. Several optimization runs of the proposed approach have been carried out on the IEEE 30 bus and a system with 6 generators. The strength of the proposed approach is tested and validated by solving several cases as: the fuel cost minimization, emission minimization, emission and cost minimization simultaneously
Numerical Investigation into Mixing Efficiency of T-Micromixers with Elliptic Barriers
Author:
M.Telha; Mechanical Department, Ziane Achour University, 17000 Djelfa, Algeria
Co-Authors :
A.Mahammedi, T. T. Naas, A.Amari; Mechanical Department, Ziane Achour University; Gas Turbine Joint Research Team, Ziane Achour University; Department of Electrical Engineering, Ziane Achour University; 17000 Djelfa, Algeria;
Keywords::
T-microchannel; Elliptic barriers; Mixing efficiency; Performance index; Thermal mixing; Pressure drop.
e-Mail:
m.telha@univ-djelfa.dz
Abstract::
This paper proposes a numerical study of the heat transfer and mixing properties of two liquid samples in a two-dimensional T- microchannel with and without elliptic barriers. The effects of various parameters such as mixing efficiency and thermal mixing efficiency and performance index, pressure drop have been analyzed and compared, at Reynolds numbers ranging from 5 to 500. The vortical structure of the flow is examined too. Modeling was performed for laminar flow using the CFD code with water/Al2O3 nanofluid at two volume fractions, base fluid (φ=0%) and nanofluid (φ=0.5%), and Three cases were chosen and simulated. The results indicated that adding elliptic barriers can enhance the mixing efficiency greater than 80%, performed considerably fine and had a very good quality of performance compared to the standard T-mixer with the cost of a higher pressure drop.
Two Dimensional Numerical Analysis of Tunnel by the Finite Element Method: Evaluation Case of “Djelfa, Algeria"
Author :
TALEB Hosni Abderrahmane; FIMAS Laboratory, University of Bechar – ALGERIA. Department of Civil Engineering and Hydraulic, Institute of Science and Technology, University Center of Mila. ALGERIA.
Co-Authors: :
CHERIET Fayssal, AZZOUZI Oumelkhir, LEDJDEL Hanane Chaima; Civil Engineering Department, University of Djelfa, 17000 Djelfa, ALGERIA. Laboratory Environment, Water, Geomechanics and Buildings (LEEGO), ALGERIA
Keywords:
Djelfa; Tunnel; Stability; Finite Element Method; OPTUMEG2
e-Mail:
talebhosni@yahoo.fr
Abstract::
Tunnels were required in building zones as a result of the growth and expansion of large cities. Tunnels are an important component of today's construction area. They are significant in terms of infrastructure and economy. Djelfa tunnel with a length of 800 m was excavated based on the geotechnical, geological, and geometrical requirements of the region. The tunnel is modeled in this study. The settlement caused by excavation is calculated using the numerical finite element methods (OptumG2). According to the numerical modeling of this research, the results show that the value of a settlement, in this case, are agree with the safety and stability of the Djelfa Tunnel
CNN-LSTM-ATT Network
Author :
Manoj Kumar; JSS Academy of technical education, India.
Co-Authors: :
NM. Biswas; NITK, India
Keywords:
LSTM, Human activity, transfer learning
e-Mail:
manoj_k@gmail.com
Abstract::
we present a long short-term memory (LSTM)-based attention mechanism based on a pre-train convolutional neural network (CNN) that focuses on the most important characteristics in the source frame to distinguish human actions in videos. We employ the DenseNet layers to extract the prominent spatial features from frames. We input these characteristics into a LSTM to learn long-term dependencies, after that, an attention technique is used to boost performance and extract more high-level selected action related patterns. The proposed system was evaluated on UCF11 datasets and achieved recognition rates of 97.90%, demonstrating a significant improvement over the state-of-the-art (SOTA) technique.