Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing

The construction of regional electronic commerce large data analysis platform is studied. First, the collaborative filtering algorithm is focused on the further elaboration. According to the demand of the recommendation system of the electronic commerce large data analysis platform of a certain agricultural product, the most core part of the recommendation system is realized and the collaborative filtering algorithm is improved emphatically. Based on the large user behavior data accumulated by the regional e-commerce platform, by mining the user's implicit evaluation of the merchandise, the sparsity of the scoring matrix is reduced, and the recommended effect of the algorithm is improved. The experimental results show that the improved algorithm can improve the efficiency and accuracy of the data processing of the regional electronic Commerce large data analysis platform.

Section: State Of the Artmentioning

confidence: 99%

RETRACTED ARTICLE: Research on the construction of regional electronic commerce large data analysis platform

Zhang

2018

“…4) Exit options (UNSELECT): Cancel has been selected transponder so that the transponder back to the property is not activated under the condition "silent" state, no reply received any REQUEST command. In order to re-activate the transponder to be reset, the transponder supply voltage must be cut off and temporarily leave the scope of the reader [22].…”

Section: Transponder Commandmentioning

confidence: 99%

The research of the application of the binary search algorithm of RFID system in the supermarket shopping information identification

Liu

Zhao

et al. 2019

The traditional bar code scanning in supermarkets is inefficient, which has been unable to meet the further development of a supermarket. To meet the needs of quick shopping in supermarkets, binary search algorithm has been proposed to prevent from anti-collision, which makes it faster to scan and identify the goods. On this basis, the goods which have not been checked out will be scanned again to obtain security. Besides, it plays an important role in the supermarket shopping system to achieve the functions of self-purchase and membership scheme. For the RFID supermarket shopping system, the test of the checkout efficiency, product recognition rate, and security were done. The result showed that the binary search algorithm had good accuracy in the RFID supermarket shopping system. The result also proved the rationality of the RFID supermarket shopping system, which can meet the daily needs of supermarkets. The method was applying the emerging technology into the traditional supermarket shopping system, which improved the profitability and management level of supermarkets.

“…The cumulative error of odometer positioning sensor is larger, which will be affected by body skidding, wheel deformation, load changes, and other errors, and this error will increase with the increase of moving distance. The Kalman filter is used to fuse sensor information to reduce error [13]. The tracked mobile robot is selected for research, and its posture diagram is shown in Fig.…”

Section: Multi-sensor Information Fusion Technologymentioning

confidence: 99%

Path planning of mobile robot based on multi-sensor information fusion

2019

Mobile robot is a very important branch of robotics. In practice, the performance of mobile robot is required to be higher and higher. It is required that mobile robot can adapt to different complex environments through its own intelligent system to achieve the established functional goals. Compared with traditional path planning with single sensor information, Kalman filter is used to fuse multi-sensor information, and path planning method based on improved dynamic artificial potential field method is studied. Using the improved dynamic artificial potential field method, the robot can also achieve optimal path planning and obstacle avoidance in complex dynamic environment. The simulation results show that the proposed algorithm is feasible.