In this work, simulation was conducted to study the transport of beta particles of Nickel-63 in silicon, using the MCNP code at different energy levels, namely monoenergetic average energy at 17.4 keV, monoenergetic maximum energy at 66.9 keV, and general spectrum energy. Energy deposition was assessed at various depths and energy levels in silicon using the MCNP code. Then, electron-hole pair generation rate was obtained. Subsequently, the output performances of the battery including short-circuit current (Isc), open-circuit voltage (Voc), fill factor (FF), maximum electrical power (Pmax), and efficiency were calculated. Results showed that Isc depends on various parameters including, activity of the source, energy deposition in the semiconductor, and minority carrier diffusion length. It was observed that an increase in the diffusion length resulted in a higher accumulation of energy deposition. Finally, results of this study were compared to other findings, in which exhibited a good correlation.

The study aims to investigate the density effect on the full energy peak efficiency (FEPE) of five identical certified standard volume sources of the same geometry, radioisotopes, and activity but having different densities (0.7-1.6 g.cm-3) experimentally using a P-type HPGe detector of 100% relative efficiency and theoretically using ANGLE software. The count rate of γ-energy lines of the γ-sources 137Cs and 60Co were measured experimentally. Four methods were used to discuss the density effect of these sources on the full energy peak efficiency by showing the FEPE deviation percentages between the calculated and certified sample-specific activities. The methods showed that while ignoring the density of the source, the FEPE deviation percentages were very high , with an average of 14.025%. Considering the sources' density using either ANGLE-3 software or relative methods, the FEPE deviation percentages were very low, with acceptable averages of 2.13%.

This study investigates the potential of barite (BaSO4) as a partial or total replacement for sand in concrete, aimed at enhancing its shielding properties against gamma radiation. Concrete samples with barite contents ranging from 0% to 25% were prepared and exposed to gamma rays from two sources: 60Co (1.173 MeV and 1.332 MeV) and 137Cs (0.662 MeV). Both experimental measurements and simulations using the MCNP Monte Carlo code were employed to estimate dose rates upstream and downstream the samples, enabling the evaluation of concrete's attenuation properties. The results indicate that the linear attenuation coefficient increased with barite content and varied depending on the gamma-ray energy. A barite-enhanced concrete mixture exhibited an 8% improvement in shielding efficiency, while all mixtures achieved a minimum compressive strength of 25 MPa. An empirical formula was developed to predict the shielding effectiveness of barite concrete, which was compared to existing literature.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

The world aims net-zero carbon emissions by 2050 that has led to the rise of electric vehicles driven by high speed motors for traction applications. The permanent magnet machines are found to be popular among the traction segment. The rare earth metals are costly and the supply chain issues create the need for non-magnetic motors like switched reluctance motor (SRM). The SRM is best suitable for high speed applications because of its simple construction and robust structure. With advancement in analytical tools and finite element method (FEM) analysis, 8/6 SRM is designed using RMXprt and validated by FEM through ANSYS MAXWELL 2D for 37 kW configuration suitable for SUV, sedan type vehicles. The design considerations are as per the IEC standards for efficiency class IE3 and standard motor frame size. The direct torque control (DTC) method is adopted using MATLAB Simulink to reduce the torque ripples.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Predicting how well a building consumes energy is an important area of study because it could help make building energy management systems work better. The applied building energy consumption data is used. The proposed method suggests an effective model to predict the energy consumption by a building. The model is good because it fits both the number of hours of heat pain and the amount of energy used during training and tests with R2 values higher than 0.97. The gaps in performance between the building energy computer model and field data were, on average, -12.5% less than what was really happening. The intelligence computer model was only 8.65% off when it came to overestimating, which was less than the field data. This paper uses the theoretical framework of artificial neural network for the prediction purpose. The proposed system is limited to our dataset alone at present.