Scientific Research and Reviews


Forecast of Highway Subgrade Settlement Based on Improved BP Neural Network

Research Article of Scientific Research and Reviews Forecast of Highway Subgrade Settlement Based on Improved BP Neural Network Shengxiang Ma China Academy of Safety Science and Technology, Beijing, China In order to improve the feasibility and accuracy of the roadbed settlement prediction model, the factor analysis method is combined with the BP neural network method, and an improved BP neural network roadbed settlement prediction model is proposed. Select example data to test the improved BP neural network roadbed settlement prediction model. The test results: The relative average error of the 10 sets of training samples’ predicted and actual roadbed settlements was 4.287%, and the roads of five predicted samples The relative error of subgrade settlement is 1.79%, 1.93%, 6.62%, 7.19%, 4.05%, all less than 10%, which proves that the improved BP neural network prediction model has good prediction accuracy. Keywords: Roadbed settlement; Factor analysis method; BP neural network; Simulation prediction ...

Ship navigation safety risk assessment based on genetic algorithm and BP neural network

Research Article of Scientific Research and Reviews Ship navigation safety risk assessment based on genetic algorithm and BP neural network He Zhang1*, Zhuyun Shao1, Ji Zeng1 1Shanghai Maritime University, Shanghai 201306, China. In order to ensure the safe navigation of ships and reduce the occurrence of marine accidents, through the analysis of ship historical navigation safety accident data and related accident literature research, taking into account various aspects such as marine meteorology, cargo loading, ship status and crew quality. Construct a ship navigation safety evaluation body. The BP neural network algorithm is used to design the ship navigation safety risk network structure. The sea damage data is used as the network input sample to train the BP neural network and data fitting. At the same time, the genetic algorithm is introduced to find the individual corresponding to the optimal fitness, and the weight and threshold of the network are further optimized. The purpose is to improve the accuracy of data fitting. The optimized BP neural network evaluation results show that there are many indicators affecting the safety of the ship’s navigation, and the relationship between the indicators is complicated. The optimized BP neural network utilizes the characteristics of online adaptive learning, which eliminates the construction of complex relationships among various indicators within the structure, and solves the difficult problems in ship risk assessment to a certain extent. Keywords: Ship navigation safety; BP neural network; Genetic algorithm; Risk assessment ...

Application of Reverse Car-seeking in Large Underground Parking Lot Based on A Star Algorithm: A Real Case

Research Article of Scientific Research and Reviews Application of Reverse Car-seeking in Large Underground Parking Lot Based on A Star Algorithm: A Real Case Lingxiang Wei1*, Dong Pan1, Mingjun Liao1,2* 1School of Materials Science and Engineering, Yancheng Institute of Technology, Yan Cheng 224051, China; 2Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 710064, China In order to solve the problems of low utilization rate of large parking lots and low efficiency of parking turnover, it is proposed to use A-star algorithm to plan the shortest path for finding a car, and run it in Android system to realize reverse car-searching. By analyzing the current situation of large underground parking lot barriers, A-star algorithm converts the starting point to the destination route into the corresponding parking space to the destination parking space path, calculates the optimal path and provides real-time path car navigation for the vehicle owner. According to the path searched by the A-star algorithm in the Android system, the time spent by the user to blindly search for the vehicle is largely saved, and the parking space utilization rate and the parking turnover rate are effectively improved. Therefore, the research has certain application value in the large parking lots. Keywords: Transport optimization; A Star Algorithm; Shortest Path; Reverse Car Search ...

Nexus between Theory and Practice of Continuous Assessment in Higher Education: Dawa University in Focus

Research Article of Scientific Research and Reviews Nexus between Theory and Practice of Continuous Assessment in Higher Education: Dawa University in Focus Sintayehu Belay Abejehu Dire Dawa University and Bahir Dar University The final goal of continuous assessment (CA) is to improve the quality of teaching and learning. This study examined the linkage between theoretical assumptions and the real practices of continuous assessment for quality teaching and learning in higher education institutions of Ethiopia, Dire Dawa University in focus. The study employed survey research design. The 73 educators and 289 learners were participated in the study. The study used 5-points Likert scale type data collection instrument. The data were analyzed via SPSS version 20. The data analysis technique employed was a one-sample t-test. The Cronbach’s alpha coefficient was used to test the reliability of instruments and thus, the questionnaires had acceptable alpha coefficients. This study revealed that the instructors and students have acknowledged the opportunities of CA to improve the quality of teaching and learning in HEIs. Finally, if CA is to fit for purpose, the practice of continuous assessment for marking students’ learning performance and for facilitating their further learning should be balanced based on theoretical assumptions. Besides, the need to design competency-based assessment rubric was recommended. Keywords: self-assessment; formative assessment; summative assessment;  ...

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Scientific Research and Reviews

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