Time series prediction is a method to predict the system behavior in the future based on current given data. Neural Networks (NNs) approach is a well-known technique that is useful for time series prediction. In the literature many NN models such Multilayer Perceptron (MLP), Pi-Sigma NN (PSNN), Recurrent NN etc. are proposed for solving time series prediction. In this paper, we use Multiplicative Neuron Model (MNM) to predict time series. For training this model, we propose use newly developed evolutionary optimization algorithm called Sine Cosine algorithm (SCA), and this algorithm has not been used as far as we know in training the MNM. The proposed SCA-MNM model is employed for the most known time series problems. In this paper, the application of the SCA-MNM on time prediction is illustrated using two mostly used datasets Mackey-Glass time series dataset, Box-Jenkins gas furnace dataset. To investigate the effect of the proposed SCA-MNM model, comparisons were made with some of the results given in the literature.

Sustainable development depends on the availability of energy resources and their impact on environment. Biogas is a carbon neutral renewable energy option and one of the leading solutions to the climate change combat. As Turkey is an energy importer country, using indigenous energy sources is vital to meet future energy demand. Agricultural activities and livestock potential have important economic value in Turkey. Biogas production from organic wastes such as livestock manure in this context, gain more importance to contribute both renewable energy production and waste management strategies. Livestock farming has high economic value in Burdur. In this regard, the animal manure based biogas potential, energy value, electricity and organic fertilizer generation capacity of Burdur Province is determined in this study. The results revealed that Burdur has annually 1.45 million tons of available animal manure potential to be used for biogas production of 27.1 million m3/year. This potential corresponds to 11641 TOE and 135.4 GWh annual energy generation that could be converted to heat and electricity. Considerable amount of the biogas production capacity has accumulated in Center, Bucak, Yeşilova, Gölhisar and Karamanlı districts of Burdur. In addition, 50776.1 tons/year of organic fertilizer can be produced as the residual of the biogas plants.

In this paper, the effects of hydrostatic pressure on the thermodynamic and vibrational properties such as bulk modulus, second order elastic constants, acoustic phonon frequencies, density of state (DOS) and gruneisen parameters (γ) of Cu-%20Pd alloys was examined by using the molecular dynamics (MD) simulation. For modelling of interaction between atoms in the model system were used Quantum Sutton-Chen (Q-SC) potential function. The simulation results that obtained from this study were compared with the experimental and theoretical results in the literature.

This paperwere investigated spectroscopic studies of 1-(4-Chlorophenyl)piperazine (14CPP) with nuclearmagnetic resonance (NMR), Fourier transform infrared (FTIR) and Ramantechniques. The conformational analysis, vibrational spectra, vibrationalassignments and nuclear magnetic shielding tensors of title molecule wereexamined by the density functional theory (DFT), using theBecke-3-Lee-Yang-Parr (B3LYP) functional and the 6-311++G(d,p) basis sets. Moreover, energy gap values (HOMO-LUMO) of titlemolecule was performed using TD-DFT/B3LYP/6-311++G(d,p) method. There is agood agreement between the experimentally obtained data and theoreticallyobtained data.

Renewable energy resources have great potential to give solution to the long-lasting energy deficiency problems being faced by Pakistan. The aim of this study was to utilize 22 years (1983-2005) satellite based data sets of Wind Speed (m/s) at 10m and 50m, 100m, 150m, 300m altitudes, Surface Temperature (0C) and Surface Atmospheric Pressure (kpa) for six districts of KPK (Chitral, Peshawar, Dir, DIK, Buner and Mansehra) respectively. At 10 m altitude, annual wind speed analysis showed similar pattern among all the districts, each with two maximum peaks one in April and the other between October and November. Multi-criteria Approach involved, creating suitable criteria for selected variables then classification (based on each variable magnitude), score were then assigned to each class. Based on methodology (MCA) applied in this research, Chitral district appeared as the best location for exploiting in terms of wind power.

Simultaneous Localization and Mapping (SLAM) problem is a very popular research area in robotic applications. EKF-SLAM and FastSLAM are widely used algorithms for SLAM problem. The greatest advantage of FastSLAM over EKF-SLAM is that it reduces the quadratic complexity of EKF-SLAM. On the other hand, increasing number of estimated landmarks naturally slows down the operation of FastSLAM. In this paper, we propose a new method called as Intelligent Data Association-SLAM (IDA-SLAM) which reduces this slowing down problem. In data association step also known as likelihood estimation, IDA-SLAM skips comparing a new landmark with all of the pre-calculated landmarks. Instead of this, it compares the newly found one with only nearby landmarks that was found previously. The simulation results indicate that the proposed algorithm significantly speeds up the operation of SLAM without a loss of state estimation accuracy. Real world experiments which have been performed in two different scenarios verify the simulation results. A runtime reduction of 43% and 52% is observed respectively for each of the test environments.

3D printed polymer composites are gaining more interest due to weight reduction and high geometrical complexity freedom especially for highly demanding applications such as aerospace and defense. Using the material-extrusion based processes, polymer matrix composite parts with complex geometries can be designed and realized to improve the mechanical properties of pure thermoplastic parts. However, in addition to porosity found at the fracture interfaces, the layered nature additive manufacturing processes may become a limitation for the direct replacement for functional applications. In this study, the results of Charpy impact testing of chopped carbon fiber reinforced nylon fabricated by fused deposition modeling (FDM) are reported. The effects of the build direction and customized density by different infill strategies on the obtained toughness are presented in comparison to the one of nylon without any reinforcement. The toughness results show a severe anisotropy in toughness and high dependence on the infill strategy.

In this study machinibility of hardox steel plates (welded by plasma and Mag welding) was examined in WEDM. Two different ampere value and two different feed rate were determined for the two different welding types. Depending on these factors ,micro structures, micro hardnesses and resistivity/conductivity values (varying according to heat output) were obtained at the HAZ and WM zones. Then, each of the samples taken from both HAZ and WM zones were cut in the WEDM by using 2 levelled four different parameters. The purpose at this stage is to examine the cutting width (kerf) and surface roughness (Ra) values at the HAZ and WM zones with respect to varying micro structure, micro hardness and conductivity values. At the end of the study, the lowest kerf was obtained with the plasma welded samples whereas the lowest Ra values were obtained with the Mag welded samples . The samples at WM zone are in general are the ones welded by high conductivity sample Mag welding. Whereas in the HAZ zone the samples are the ones welded by high conductivity plasma welding.

In general, the outgoing exhaust gasses are released to atmosphere at over temperature of the dew point of water vapor in waste gases. It is well known that recovering a portion of the waste heat enhances the efficiency of boilers and provides fuel savings. In this study, the potential of recovering waste heat emitted by the hot water boiler chimney in a central heating plant of the selected university was investigated. Energy losses were calculated for six months that the central heating system was in full-load operation. As a result of the calculation, it was determined that recovery of the waste heat can be employed as a combustion air preheater by means of a recuperator. It was stated that 53768 m 3 of natural gas savings per year (44.86 TOE/year) can be achieved with the suggested system.

In present study, Ag-doped TiO 2 bioceramic coatings were fabricated on cp-Ti by plasma electrolytic oxidation (PEO) and physical vapor deposition (PVD). The phase composition, surface microstructure, elemental composition, surface topography, wettability and chemical state of the PEO and Ag-doped TiO 2 surfaces were characterized by using powder- and thin film-X-ray diffraction (TF-XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), surface profilometer and contact angle measurement system (CAM), respectively. The PEO coating’ surface was porous and rough due to the nature of process. The Ti, anatase-TiO 2 , rutile-TiO 2 and Ag 2 O phases were detected on the Ag-doped PEO surfaces by TF-XRD while The Ti, anatase and rutile phases were obtained on the PEO surfaces. The surface morphology structure of the PEO coating was not changed by PVD process. The Ti, O, P and Ag elements were observed on the Ag-doped PEO surfaces by EDS. Also, the amount of Ag existed on the surface was below cytotoxic limit. The Ag-doped PEO surfaces indicated better hydrophilic character to the PEO surface owing to increasing polarity of the surfaces. In vitro hydroxyapatite-forming ability was evaluated by immersion in simulated body fluid (SBF) at 36.5 ° C for 28 days. The Ag-doped PEO surfaces showed good hydroxyapatite formation ability compared to the PEO surface. The antibacterial activity was evaluated by exposing the samples to Staphylococcus aureus ( S. aureus ) and Escherichia coli ( E. coli ) and they were compared by the reaction of the pathogens to Ag-doped PEO with the PEO controls. The antibacterial ability of the Ag-doped PEO surfaces was significantly improved respect to the PEO surfaces for S. aureus and E. coli .