62 research outputs found
Analysis of Content Marketing Communication Strategy of the Internet Insurance Industry on the Xiaohongshu Platform
Get PDFWith the development of Internet technology, the insurance industry has ushered in transformation and upgrading, the most prominent achievement of which is Internet insurance. Internet insurance has completely changed the traditional way of insurance sales. Currently, the content platform is the central position of Internet insurance marketing. Many Internet insurance companies carry out content marketing on the Xiaohongshu. Creating content attracts users to consult and then sell insurance products. Today, this Internet insurance sales model is quite mature. This paper uses the 5W theory, content analysis method, and case analysis method to analyze the communication strategy of Internet insurance on Xiaohongshu and finds that it adapts to the style of Xiaohongshu through young language, creating scenarios, and creating rich insurance content on the platform. However, there are areas for improvement, such as severe content homogenization and false advertising. In response to these issues, the author proposes optimization suggestions such as understanding user needs and regularly organizing training for content creators
Object unified identifier method in logistics resource integration
Get PDFPurpose: The status which many programs for the object identifier are not incompatible with
each other has become a bottleneck for integrating logistics resources. Scholars have done
some relevant studies in terms of coding and conversion mechanisms, but the problem still
has not got a better solution. The purpose of this study is to research how to make the object
identifier programs compatible.
Design/methodology/approach: Author proposed an object unified identifier (OUID)
method based on OID and introduced the standard identification code in it, according to the
problems of the object identifier in logistics resource integration. And the paper further
designed the acquisition process of the resource basic information and location information,
and analyzed the application environment of object unified identifier based on OID.
Findings: OUID made up for the lack of location information in conversion mechanism, and
avoided to promote new unified identifier standards at the same time. The supplement of the
application environment provided an important support to solve the problems of poor
communication caused by non-unified object identifier in the process of logistics resource
integration.
Originality/value: Using this method, each identification system not only can keep its own
territory, but also can compatible with other object identifiers
Object unified identifier method in logistics resource integration
Get PDFPurpose: The status which many programs for the object identifier are not incompatible with
each other has become a bottleneck for integrating logistics resources. Scholars have done
some relevant studies in terms of coding and conversion mechanisms, but the problem still
has not got a better solution. The purpose of this study is to research how to make the object
identifier programs compatible.
Design/methodology/approach: Author proposed an object unified identifier (OUID)
method based on OID and introduced the standard identification code in it, according to the
problems of the object identifier in logistics resource integration. And the paper further
designed the acquisition process of the resource basic information and location information,
and analyzed the application environment of object unified identifier based on OID.
Findings: OUID made up for the lack of location information in conversion mechanism, and
avoided to promote new unified identifier standards at the same time. The supplement of the
application environment provided an important support to solve the problems of poor
communication caused by non-unified object identifier in the process of logistics resource
integration.
Originality/value: Using this method, each identification system not only can keep its own
territory, but also can compatible with other object identifiers.Peer Reviewe
Discrete element method (DEM) modelling of rock flow and breakage within a cone crusher
No full textA cone crusher is a crushing machine which is widely used in the mining, construction and recycling industries. Previous research studies have proposed empirical mathematical models to simulate the operational performance of a cone crusher. These models attempt to match the size distributions of the feed and product streams. The flow of the rock and its breakage within the cone crusher chamber are not explicitly modelled by these methods. Moreover, the ability to investigate the changes in crusher performance affected by changes to the crusher design geometry and/or operating variables (including cavity profile, closed size setting and eccentric speed) are not easily achieved. Improvements to system design and performance are normally achieved by the combination of iterative modifications made to the design and manufacture of a series of prototype machines, and from a subsequent analysis of the results obtained from expensive and time consuming rock testing programs. The discrete element method (DEM) has in recent years proved to be a powerful tool in the execution of fundamental research to investigate the behaviour of granular material flow and rock breakage. Consequently, DEM models may provide the computational means to simulate the flow and breakage of rock as it passes through a cone crusher chamber. Thus, the development of field validated models may provide a cost effective tool to predict the changes in crusher performance that may be produced by incremental changes made to the dimensions or power delivered to the crusher chamber. To obtain an improved understanding of the fundamental mechanisms that take place within a cone crusher chamber, the two processes of rock flow and rock breakage may be decoupled. Consequently, this study firstly characterised the flow behaviour of broken rock through a static crusher chamber by conducting a series of experiments to investigate the flow of regular river pebbles down an inclined chute. A parallel computational study constructed and solved a series of DEM models to replicate the results of these experimental studies. An analysis of the results of these studies concluded that an accurate model replication of the shape of the pebbles and the method used to load the pebbles into the inclined chute were important to ensure that the DEM models successfully reproduced the observed particle flow behaviour. These studies also established relationships between the chute geometry and the time taken for the loaded pebble streams to clear the chute.
To investigate the rock breakage behaviour observed within a cone crusher chamber, thirty quasi-spherical particles of Glensanda ballast aggregate were diametrically crushed in the laboratory using a Zwick crushing machine. The crushed rock particles used were of three sieve size fractions: 14-28mm, 30-37.5mm and 40-60mm. The effects that either a variation in the particle size or strength has on and the number and size distribution of the progeny rock fragments produced on breakage were studied. Subsequently, a series of DEM simulation models were constructed and solved to replicate the experimental results obtained from these crushing tests. The aggregate particles were represented by agglomerates consisting of a number of smaller diameter bonded micro-spheres. A new method was proposed to generate a dense, isotropic agglomerate with negligible initial overlap between the micro-spheres by inserting particles to fill the voids in the agglomerate. In addition, the effects that a variation in the particle packing configurations had on the simulated strength and breakage patterns experienced by the model agglomerate rock particles were investigated. The results from these DEM model studies were validated against the experimental data obtained from the ballast rock breakage tests. A comparative analysis of the experimental and modelling studies concluded that once the bond strengths between the constituent micro-spheres matched the values determined from the rock breakage tests, then the numerical models were able to replicate the measured variations in the aggregate particle strengths.
Finally, the individual validated DEM aggregate particle flow and breakage modes were combined to construct a preliminary coupled prototype DErvl model to simulate the flow and breakage of an aggregate feed through a cone crusher chamber. The author employed two modelling approaches: the population balance model (PBM) and bonded particle model (BPM) to simulate the observed particle breakage characteristics. The application of the PBM model was successfully validated against historical experimental data available in the literature. However, the potential wider use of the BPM model was deemed impractical due to the high computation time. From a comparative analysis of the particle size distributions of the feed and computed product streams by the two modelling approaches, it is concluded that the simpler PBM produces more practical computationally efficient numerical solutions
Discrete element method (DEM) modelling of rock flow and breakage within a cone crusher
Get PDFA cone crusher is a crushing machine which is widely used in the mining, construction and recycling industries. Previous research studies have proposed empirical mathematical models to simulate the operational performance of a cone crusher. These models attempt to match the size distributions of the feed and product streams. The flow of the rock and its breakage within the cone crusher chamber are not explicitly modelled by these methods. Moreover, the ability to investigate the changes in crusher performance affected by changes to the crusher design geometry and/or operating variables (including cavity profile, closed size setting and eccentric speed) are not easily achieved. Improvements to system design and performance are normally achieved by the combination of iterative modifications made to the design and manufacture of a series of prototype machines, and from a subsequent analysis of the results obtained from expensive and time consuming rock testing programs. The discrete element method (DEM) has in recent years proved to be a powerful tool in the execution of fundamental research to investigate the behaviour of granular material flow and rock breakage. Consequently, DEM models may provide the computational means to simulate the flow and breakage of rock as it passes through a cone crusher chamber. Thus, the development of field validated models may provide a cost effective tool to predict the changes in crusher performance that may be produced by incremental changes made to the dimensions or power delivered to the crusher chamber. To obtain an improved understanding of the fundamental mechanisms that take place within a cone crusher chamber, the two processes of rock flow and rock breakage may be decoupled. Consequently, this study firstly characterised the flow behaviour of broken rock through a static crusher chamber by conducting a series of experiments to investigate the flow of regular river pebbles down an inclined chute. A parallel computational study constructed and solved a series of DEM models to replicate the results of these experimental studies. An analysis of the results of these studies concluded that an accurate model replication of the shape of the pebbles and the method used to load the pebbles into the inclined chute were important to ensure that the DEM models successfully reproduced the observed particle flow behaviour. These studies also established relationships between the chute geometry and the time taken for the loaded pebble streams to clear the chute.
To investigate the rock breakage behaviour observed within a cone crusher chamber, thirty quasi-spherical particles of Glensanda ballast aggregate were diametrically crushed in the laboratory using a Zwick crushing machine. The crushed rock particles used were of three sieve size fractions: 14-28mm, 30-37.5mm and 40-60mm. The effects that either a variation in the particle size or strength has on and the number and size distribution of the progeny rock fragments produced on breakage were studied. Subsequently, a series of DEM simulation models were constructed and solved to replicate the experimental results obtained from these crushing tests. The aggregate particles were represented by agglomerates consisting of a number of smaller diameter bonded micro-spheres. A new method was proposed to generate a dense, isotropic agglomerate with negligible initial overlap between the micro-spheres by inserting particles to fill the voids in the agglomerate. In addition, the effects that a variation in the particle packing configurations had on the simulated strength and breakage patterns experienced by the model agglomerate rock particles were investigated. The results from these DEM model studies were validated against the experimental data obtained from the ballast rock breakage tests. A comparative analysis of the experimental and modelling studies concluded that once the bond strengths between the constituent micro-spheres matched the values determined from the rock breakage tests, then the numerical models were able to replicate the measured variations in the aggregate particle strengths.
Finally, the individual validated DEM aggregate particle flow and breakage modes were combined to construct a preliminary coupled prototype DErvl model to simulate the flow and breakage of an aggregate feed through a cone crusher chamber. The author employed two modelling approaches: the population balance model (PBM) and bonded particle model (BPM) to simulate the observed particle breakage characteristics. The application of the PBM model was successfully validated against historical experimental data available in the literature. However, the potential wider use of the BPM model was deemed impractical due to the high computation time. From a comparative analysis of the particle size distributions of the feed and computed product streams by the two modelling approaches, it is concluded that the simpler PBM produces more practical computationally efficient numerical solutions
Design Methods of Small-Scale Speed Regulating Handle Based on Hall Element
No full textAbstractLinear Hall element's output voltage is directly proportional to its external magnetic field intensity, but usually, the filed intensity of some point around a magnet is not in linear relation with the distance between them. In order to get a good linear output for speed regulating handle which is based on linear Hall element, the author applies linear Hall element SS495A and describes layouts of different combination like double Hall elements with double magnets, single Hall element with double magnets. Least square fit is done to every layout through experiments and then relation curve of the rotation angle between output voltage of SS495A and magnets is obtained. Corresponding applicable situation is also given. Experiments show that output linearity of these two methods is good. These two layout methods can be easily operated and they are applicable for small-scale speed regulating handle
Towards Attributions of Input Variables in a Coalition
Get PDFThis paper aims to develop a new attribution method to explain the conflict
between individual variables' attributions and their coalition's attribution
from a fully new perspective. First, we find that the Shapley value can be
reformulated as the allocation of Harsanyi interactions encoded by the AI
model. Second, based the re-alloction of interactions, we extend the Shapley
value to the attribution of coalitions. Third we ective. We derive the
fundamental mechanism behind the conflict. This conflict come from the
interaction containing partial variables in their coalition
Optimization of Remote Sensing Image Segmentation by a Customized Parallel Sine Cosine Algorithm Based on the Taguchi Method
No full textAffected by solar radiation, atmospheric windows, radiation aberrations, and other air and sky environmental factors, remote sensing images usually contain a large amount of noise and suffer from problems such as non-uniform image feature density. These problems bring great difficulties to the segmentation of high-precision remote sensing image. To improve the segmentation effect of remote sensing images, this study adopted an improved metaheuristic algorithm to optimize the parameter settings of pulse-coupled neural networks (PCNNs). Using the Taguchi method, the optimal parallelism scheme of the algorithm was effectively tailored for a specific target problem. The blindness in the design of the algorithm parallel structure was effectively avoided. The superiority of the customized parallel SCA based on the Taguchi method (TPSCA) was demonstrated in tests with different types of benchmark functions. In this study, simulations were performed using IKONOS, GeoEye-1, and WorldView-2 satellite remote sensing images. The results showed that the accuracy of the proposed remote sensing image segmentation model was significantly improved
Personalized Federated Learning Based on Hypernetworks and Attention Mechanism Ensembles for Internet of Things
No full textAs the demand for data privacy protection continues to grow and the concept of collaborative modeling gains traction, federated learning has emerged as a pivotal distributed learning paradigm in the Internet of Things (IoT) domain. However, the client data held by different institutions often varies significantly in sources and characteristics, which can hinder the efficiency of federated learning model training and increase the risk of personal privacy breaches. To address the challenges of model accuracy degradation and privacy exposure when federated learning is applied to multi-source heterogeneous data, we propose a personalized federated learning strategy that integrates hypernetworks with attention mechanisms. This strategy involves transforming labeled data at the source to protect personal privacy while employing hypernetworks and Transformer-based mechanisms to focus on the personalized information of clients from various institutions. Our proposed approach supports handling heterogeneous data, thereby better meeting the personalized needs of different institutions. Experimental results demonstrate that this framework not only effectively safeguards data privacy but also significantly enhances the performance and generalization capability of federated learning on heterogeneous data. This research offers a novel perspective for developing more adaptable personalized federated learning models, facilitating cross-institutional collaborative research, and providing an innovative model training solution for various IoT devices, balancing the dual requirements of data privacy protection and multi-institutional data sharing
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