ALBERT

Beschreibung: With the popularity of the Internet and mobile terminals, the development of e-commerce has become hotter. Therefore, e-commerce research starts to focus on the statistics and prediction of the cargo volume of logistics. This study briefly introduced the back-propagation (BP) neural network model and principal component analysis (PCA) method and combined them to obtain an improved PCA-BP neural network model. Then the traditional BP neural network model and the improved PCA-BP neural network model were used to perform the empirical analysis of the cold chain logistics demand of fruits and vegetables in city A from 2010 to 2018. The results showed that the main factors that affected the local cold chain logistics demand were the growth rate of GDP, the added value of primary industry, the planting area of fruits and vegetables, and the consumption price index of fruits and vegetables; both kinds of neural networks model could effectively predict the cold chain logistics demand, but the predicted value of the PCA-BP neural network model was more fitted with the actual value. The prediction error of the BP neural network model was larger, and the fluctuation was obvious within the prediction interval. Moreover, the time required for the prediction by the PCA-BP neural network model was less than that by the BP neural network model. In summary, the improved PCA-BP neural network model is faster and more accurate than the traditional BP model in predicting the cold chain logistics demand.

Beschreibung: Fused filament fabrication (FFF) is a 3D printing or additive manufacturing method used for rapid prototyping and manufacturing. The characterization and optimization of process parameters in FFF is of critical importance because the quality of the specimens produced by this method substantially depends on the appropriate setting of various significant factors. In this study, the FFF printing process using acrylonitrile butadiene styrene (ABS) as the filament material was investigated for the optimization of significant factors in the process. Three potential factors, namely nozzle temperature, bed temperature, and printing speed, were included in this study as the inputs, while surface roughness of the specimens was considered as the output. Roughness measurements were made on the flat surfaces at the top and bottom of the specimens. As the ranges for optimal factor settings were recommended by the manufacturer, the Box-Behnken design, which is a response surface method (RSM), was utilized in this study. In each treatment, two replicas of the test specimens were used for the confirmation test. The results of the statistical analyses indicated that the bed temperature and the printing speed had a significant impact on the surface roughness. Another finding was that there was a non-linear relationship between the bed temperature and the surface roughness. The optimal settings for the factors arrived at in this study can serve as guidelines for the practitioners to achieve the highest performance when they use FFF with ABS filaments.

Beschreibung: In France, Inserm (National Institute of Health And Medical Research) puts considerable effort into scientific integrity and quality management since more than 10 yr. Quality managers are present in about one hundred of the three hundred Inserm Units (the “Unit” at Inserm is an individualized research laboratory, with a head which is nominated by the President of Inserm and a defined life span. Usually, Units are the result of partnerships of Inserm with universities, university hospitals and other research organizations). When Quality management audits are performed, various dysfunctions are noted. Some of these are related to scientific integrity and Questionable Research Practice. Since an increasing number of Inserm Units disposes of Quality management systems according to the ISO 9001 standard, Inserm promotes since several years ISO 9001 management concepts and tools to improve scientific integrity. “Scientific integrity” as used in the missions of the (American) Office of Research Integrity (ORI, https://ori.hhs.gov/policies-ori-mission) and materialized in the Singapore statement on Research integrity (https://wcrif.org/statement). The Singapore Statement is not a regulatory document and does not represent the official policies of the countries represented at the conference. Rather, the intent of the Singapore Statement is to provide ethical guidance which research organizations, governments, and scientists can use to develop policies, regulations, and codes of conduct (World Conference on Research Integrity, https://wcrif.org/statement). Inserm, like others (Bouter, Account. Res. 22, 148–161 (2015)), believes that ISO 9001 research management favors good quality and integrity of research. In this field study the degree of awareness and whether scientists in Inserm Units are ready to make specific efforts to foster integrity and quality of their research was investigated. This study shows that a majority of scientists considers integrity and quality as being necessary. However, it appears that knowledge and understanding of integrity and quality in research should be improved. An effort has to be made to increase this level, specific actions have to be taken but scientists at Inserm are willing to make this effort.

Beschreibung: In recent years, with the irresistible pace of e-commerce development, e-commerce logistics orders show blowout growth. For the logistics industry, it is both an opportunity and a difficult problem as there are many problems such as low technology content and poor distribution efficiency. Therefore, it is a challenge that needs to be tackled to integrate technology accurately with the operation mode of e-commerce logistics. In order to improve the effect of logistics operation, bring convenience to the management of business logistics, and ultimately realize the maximum profit of logistics enterprises, based on two-dimensional code technology, this study took the specific mode of logistics operation as the research subject, applied the corresponding two-dimensional code generated to three different logistics processes, put forward specific optimization schemes, and carried out the analysis of the application results. The results showed that the intervention of two-dimensional code could protect users' privacy, prevent channel conflict, and realize logistics tracing of product information, thus effectively improve the logistics operation mode.

Beschreibung: This paper presents algorithms for estimating the minimum volume bounding box based on a three-dimensional point set measured by a coordinate measuring machine. A new algorithm, which calculates the minimum volume with high accuracy and reduced number of computations, is developed. The algorithm is based on the convex hull operation and established theories about a minimum bounding box circumscribing a convex polyhedron. The new algorithm includes a pre-processing operation that removes convex polyhedron faces located near the edges of the measured object. As showed in the paper, the solution of the minimum bonding box is not based on faces located near the edges; therefore, we can save computation time by excluding them from the convex polyhedron data set. The algorithms have been demonstrated on physical objects measured by a coordinate measuring machine, and on theoretical 3D models. The results show that the algorithm can be used when high accuracy is required, for example in calibration of reference standards.

Beschreibung: Electromyography (EMG) signal contains a large amount of human motion information, which can be used to classify human actions. In this study, based on the detection of surface electromyography (sEMG) signal, three actions were designed, the sEMG signal was collected by the EMG acquisition system. Four feature values, including root-mean-square value, average absolute value (MAV), wavelength, and Zero crossing point, were extracted from the signal. Then these values were taken as the input of Back-Propagation neural network (BPNN) to recognize different actions, thereby realizing the real-time control of mechanical simulated arm. The experiment found that the training time of the BPNN method designed in this study was short, 11.36 s, and the average recognition accuracy rate reached 92.2%. In the real-time control experiment of mechanical simulated arm, the recognition accuracy of different actions reached more than 90%, and the running time was short. The experimental results verifies the effectiveness of the proposed method and make some contributions to the efficient control of the mechanical simulation arm.

Beschreibung: This paper presents a developed design and construction to improve the performance and increasing the density measuring capability of the previous Hydrostatic Weighing Apparatus (HWA-NIS) at the National Institute of Standards (NIS) up to 20 kg. The previous (HWA-NIS) has been constructed up to 10 kg on 2014. The 2-Positions mass handler in the previous (HWA) was developed with 4-Positions pentagon shape to be able to make handling for individual masses in a group at once, when transferring the traceability from the primary standard “the Silicon Sphere” to the standard masses in the density scale weighing process. The weighing pan in the previous (HWA) was developed with four suspension wires with a diameter of 0.3 mm each, leads to reduce the surface tension affect on the measurement uncertainty by factor four times. The density of the standard masses in the range from 2 kg up to 20 kg were measured with an improved expanded uncertainty from 0.150 kg/m3 to 0.078 kg/m3 respectively due to reducing the effect of surface tension via the developed design of the weighing pan.

Beschreibung: Fresh products have a large loss in the process of cross-regional logistics. In this study, the cross-regional fresh cold chain logistics network was analyzed using GO-FLOW analysis method. First, the basic principle of GO-FLOW analysis method was introduced. Then, taking the cold chain logistics network of mangosteen as an example, the GO-FLOW diagram was established, the signal strength was calculated, and the logistics network was improved according to the analysis results. The results showed that the reliability of the logistics network was 0.842, among which the reliability loss in precooling, long-distance transportation and sales was the largest. After improving the logistics network according to the three links, the reliability of the logistics network rose to 0.958, increased by 5.53%, among which the long-distance transportation link increased by 9.03%. The analysis results verifies the feasibility of GO-FLOW analysis method in logistics network analysis and make some contributions to improve the efficiency of physical network and ensure food safety.

Beschreibung: All kinds of flour products which are made of wheat flour have already become the staple food on people's dining table. With the improvement of living standard, the quality requirements for the flour products have gradually improved. In addition to the production technique, the quality of wheat flour as the raw material is also very important for the quality of flour products. This paper briefly introduced wheat flour and two main components that affected its quality: starch and protein. Then, the related quality of starch and protein and the quality of corresponding flour products were tested for five kinds of wheat flour. The experimental results showed that the quality indexes of five kinds of wheat flour were obviously different and representative. The regression analysis on the quality data of wheat flour and flour products showed that the water absorption of flour decreased with the increase of total starch content, dry gluten content and gluten index, the water solubility of flour decreased with the increase of total starch content and gluten index and increased with the increase of ratio of amylose to amylopectin, and the radial expansion rate of the flour products decreased with the increase of wet gluten content. To sum up, the quality of wheat flour will affect the water absorption, water solubility and radial expansion rate of flour products in the production process.

Beschreibung: In some complex applications, Flying Ad Hoc Network (FANET) can provide important support for multi UAV (Unmanned Aerial Vehicle) cooperation. In FANET each UAV is equivalent to a router, and the wireless link between them forms a network to achieve the purpose of relay communication. Throughput is an important network performance, and the position of UAV nodes affects it. In this paper, we analyze the influencing factors of FANET throughput with UAV position and terminator selection in first; Secondly we construct the mathematical model of throughput optimization of FANET; Thirdly we propose an algorithm based on genetic algorithm to optimize the position of UAV, and then maximize the throughput. Preparing for using genetic algorithm, we design the related details: Numbering Area, Determining the adjacency matrix and correlation matrix, determining the range of UAV node position movement. The key points of the genetic algorithm for FANET is proposed include the following aspects: coding and population initialization, fitness function, and chromosome replication/crossover/mutation and termination criteria. At last, Matlab is used to simulate the proposed algorithm from three aspects: performance, effect of Radius of Position Constraint (RPC) and effect of Radius of Particle Size (RPS). The results show that the throughput can reach the expected goal by controlling the UAV　position, and the optimization speed is related to the RPC and RPS.