Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel c...
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Curugmuncar II micro hydro power (MHP) located in Petungkriyono sub district is one of three MHPs installed in Pekalongan district. This study aims to analyze the MHP operation environmental impact. The study used qua...
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Voice synthesizers still present several challenges in the speech of mathematical content, as spoken mathematics has quite peculiar rules. In the synthesized speech, pauses help blind and visually impaired students id...
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High-tightness woven fabric (HTWF) density measurements have been developed using image analysis. In this study, the measurement of HTWF density is based on the three-dimensional surface structure of the fabric using ...
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Polycaprolactone (PCL) is an important polymer due to its mechanical properties, miscibility with a large range of other polymers and biodegradability. Polycaprolactone (PCL) was chosen as the matrix because of its bi...
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As a village that later developed into an area that resembled a colonial city at that time, Depok Lama had a concept of residential space that was different from the colonial settlements that existed during the Dutch ...
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Traffic forecasting is essential for the intelligent transportation system and is applied to managing traffic networks. Recently, there has been a growing interest in incorporating spatial and temporal variables into ...
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The global trend in broadband internet services reveals an increased focus on reliability, customer service, and integrating new technologies like IoT, 5G, or FMC. Customer service is primarily determined by network q...
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This study conducted in Lima, Peru, a combination of spatial decisionmaking system and machine learning was utilized to identify potentialsolar power plant construction sites within the city. Sundial measurementsof so...
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This study conducted in Lima, Peru, a combination of spatial decisionmaking system and machine learning was utilized to identify potentialsolar power plant construction sites within the city. Sundial measurementsof solar radiation, precipitation, temperature, and altitude were collectedfor the study. Gene Expression programming (GEP), which is based on theevolution of intelligent models, and Artificial Neural Networks (ANN) wereboth utilized in this investigation, and the results obtained from each werecompared. Eighty percent of the data was utilized during the training phase,while the remaining twenty percent was utilized during the testing phase. Onthe basis of the findings, it was determined that the GEP is the most suitablenetwork for predicting the location. The test state’s Nash-Sutcliffe efficiency(NSE) was 0.90, and its root-mean-square error (RMSE) was 0.04. Followingthe generation of the final map based on the results of the GEP model, itwas determined that 9.2% of the province’s study area is suitable for theconstruction of photovoltaic solar power plants, while 53.5% is acceptable and37.3% is unsuitable. The ANN model reveals that only 1.7% of the study areais suitable for the construction of photovoltaic solar power plants, while 66.8%is acceptable and 31.5% is unsuitable.
Natural disasters, particularly earthquakes, can cause the electric power system to collapse, which can be brought on by one of the infrastructure breakdowns in the power system. Damaged power system can cause losses ...
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