Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science)
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Scopus Q3 (2025)
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Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science)
Fuzzy Logic Based Power Factor Repair System Using PZEM004T and Internet of Things
Variative electrical loads such as lighting, heating, and electric motors, often result in low power factor. Low power factor results in increased electric current. The increase in electric current results in an increase in service capacity such as current limiters, transformers used, conductor size, and others. Inductive power factor can be improved by installing appropriate capacitors. So far, the installation of capacitors still uses manual methods that have not implemented automatic control and can be controlled remotely. The selection of capacitor prices is still done by try and error, no
Developing an IoT-Based Automated Control System for Greenhouse
The goal of this project is to create an automated system that uses the Internet of Things (IoT) to monitor and regulate greenhouse conditions. This technology has been growing rapidly in many areas and is used to control various automated systems. The project is divided into three sections. In the first section, we install an Arduino Mega 2650 development board and a range of sensors, including temperature, humidity, and light sensors. Additionally, we incorporate various actuators, such as those for ventilation, servo motors for the doors, light, a hotplate, and LEDs, to fulfill the project
OPTIMIZATION MODEL OF FORMER COAL MINE LAND AS A PLANTING MEDIA: MULTISYMBIOTIC INTERACTION STUDY OF MICROORGANISMS, PLANTS AND ENVIRONMENT
The East Kalimantan region of Indonesia has a large ex-coal mining area, even though this area has the potential to be used as productive land. The research aims to develop an optimization model for coal mining land to be used as a planting medium by first examining the factors that influence plant growth and productivity so that this optimization model can function well. Furthermore, the hypothetical model was developed based on theoretical and empirical studies which were tested using GSCA. Empirical data collection was carried out using a Randomized Completely Block Design with 10 replicati
Characterization of Flour of Some Rice Varieties in Nigeria and Noodles Manufactured from their Corn Blends
The physico-chemical properties of Thai Jasmine rice (ThR), Federal Agriculture Research Oryza (FARO) 44 or F44 and FARO 46 or F46 flours and the quality attributes of noodles prepared using their blends with yellow corn (C) were studied. There was significant difference in the amylose content (AC) and solubility (S) of ThR, F44, and F46; but no significant difference in the crude protein content of F44 and F46, fat content of the three rice varieties, and swelling power and volume of ThR and F44 flours. There was significant difference in the stickiness of C:ThR, C:F44, and C:F46 blended flou
Burst Pressure Prediction of Defective Pipelines Using a Damage Model
Rising energy, demand leads to increased oil and gas production. Pipelines are the safest and most efficient transportation mode used in the hydrocarbon industry. Often buried in ground or submerged in seabed, corrosion is one of the most important failure modes of buried pipes. Metal Loss due to corrosion represents a serious threat of pipelines integrity. It is therefore, very important to maintain their residual resistance so as to not penalize production, distribution and prevent catastrophic accidents. Semi-empirical models are still widely used by big companies to assess the residual str
