The size of datasets is growing exponentially as information technology advances, and it is becoming more and more crucial to provide efficient learning algorithms for neural networks to handle massive amounts of data. Due to their potential for handling huge datasets, feed-forward neural networks with random weights (FNNRWs) have drawn a lot of attention. In this paper, we introduced an efficient feed-forward neural network scheme (FNNS) for processing massive datasets with random weights. The FNNS divides large-scale data into subsets of the same size, and each subset derives the corresponding submodel. According to the activation function, the optimal range of input weights and biases is calculated. The input weight and biases are randomly generated in this range, and the iterative scheme is used to evaluate the output weight. The MNIST dataset was used as the basis for experiments. The experimental results demonstrate that the algorithm has a promising future in processing massive datasets.
This study aims to explore how to achieve innovative design for intangible cultural heritage (ICH) tourism products through User-Centered Design (UCD) theory and the cultural gene approach. Using the national ICH of Mianzhu New Year Pictures as a case study, the research, guided by UCD theory, conducts an in-depth analysis of user needs, with a detailed investigation into users' aesthetic preferences and functional requirements to ensure that the design meets modern market demands. Additionally, the cultural gene approach provides theoretical support for extracting and transforming the core cultural symbols of Mianzhu New Year Pictures, allowing these symbols to be effectively integrated into contemporary products through symbolic design. This approach ensures that the design retains the cultural characteristics of Mianzhu New Year Pictures while enhancing users' cultural identity and overall experience. This study employs a mixed research methodology, with a primary focus on design experimentation, supported by KANO-AHP, ethnographic fieldwork, and iterative testing to analyze user needs and optimize the product. Initially, KANO-AHP is used to conduct a quantitative analysis of user requirements, identifying priorities in functionality, aesthetics, and emotional appeal to provide precise guidelines for product design. Next, ethnographic fieldwork is conducted through observation and interviews to gain deep insights into the cultural background, artistic features, and user contexts of intangible cultural heritage, enabling the extraction of representative cultural gene elements. Finally, the study employs design experimentation for multiple rounds of user testing and product iteration, incorporating feedback from focus groups to progressively enhance the product’s functionality and aesthetic appeal, thereby increasing practicality and user satisfaction. This comprehensive experimental approach allows the researcher to dynamically adjust the product based on real-time feedback, ensuring continuous improvement in actual applications while effectively integrating cultural heritage with modern user needs. The results of the study show that the combination of UCD and cultural genetics methodology can effectively enhance the market attractiveness and cultural heritage value of NRM products. This study not only promotes the application of UCD and cultural gene method in the design of non-heritage products and provides practical guidance for the modernisation and innovation of non-heritage products, but also opens up a new way of thinking for the inheritance and development of non-heritage culture in modern society.
This paper presents a method for the manipulation of magnetic nanoparticles by optically induced dielectrophoresis (ODEP) device that can realize the transportation and convergence of nanoparticles. ODEP can be realized with a sandwich structure of three layers including the photoconductive layer, the liquid layer with the sample and the indium tin oxide electrode (ITO) layer. In this work, magnetic nanoparticles with the diameter of 10-100nm were successfully manipulated by positive dielectrophoresis force. The solution with magnetic nanoparticles on a mica substrate placed in the sandwich structure was dried in the air and imaged by atomic force microscope (AFM). The AFM images showed that the magnetic nanoparticles were converged in the illumination area. This method can be used to manipulate magnetic nanoparticles.
Chaotic systems are widely used in various aspects such as information security, signal processing, and synchronous control. The structural complexity and the chaotic behavior of chaotic systems are two significant factors affecting their practical applications. In this paper, we propose a universal two-dimensional (2D) absolute-cosine chaotic model (ACCM). The 2D-ACCM is composed of a nonlinear bounded cosine function and an absolute value function. It can construct new chaotic maps with simple structures and complex chaotic behaviors on the basis of existing chaotic systems. To verify the effectiveness of the proposed system, we first choose two existing one-dimensional (1D) chaotic maps and one existing 2D chaotic map as the seed maps of the 2D-ACCM to generate two new maps, respectively. The results of chaotic behavior analysis show that these two new maps have more complex chaotic behavior and wider chaotic ranges than seed maps and some advanced chaotic maps. Then a hardware experiment platform based on a field-programmable gate array (FPGA) is used for the hardware implementation of the new maps. Finally, a simple chaos-based pseudo-random number generator (PRNG) is introduced to show the practical application. The experimental results show that the new maps can be easily implemented on the FPGA and the chaos-PRNGs can generate pseudo-random numbers with excellent randomness.
The aim of this study was to investigate the relationship between fatalism and suicidal behaviors, the mediating role of depressive symptoms, and the moderating effect of coping strategies on the mediating process. A total of 519 participants completed the Multidimensional Fatalism Scale for General Life Events, the Center for Epidemiologic Studies-Depression scale, the Simplified Coping Style Questionnaire, and the Suicidal Behaviors Questionnaire-Revised. Results suggest that depressive symptoms partially mediated the relationship between fatalism and suicidal behaviors. Active coping moderated the mediating effect of depressive symptoms. The higher the active coping level, the weaker the mediating effect. The findings revealed that the mechanism of fatalism affecting suicidal behaviors, and had theoretical and empirical value for the prevention and intervention of suicide among college students.
In this paper, we propose a novel 2D hyperchaotic Sine couple map (2D-HSCM) and then the proposed 2D map is analyzed using bifurcation diagrams, attractor trajectory, Lyapunov exponent, fixed point, sample entropy, symmetry, dissipative, etc. To prove the availability of the chaotic system, we also implement 2D-HSCM on the FPGA platform. Based on the 2D-HSCM, we propose a novel image encryption algorithm called the HSCM-IEA. In the HSCM-IEA, there are many operations that mainly contain block scrambling and modular diffusion. Block scrambling is divided into intra-block pixel scrambling and inter-block relationship scrambling. In the intra-block pixel scrambling, the longest increasing subsequence (LIS) is employed as the index for the row and column cyclic permutations. In the inter-block relationship scrambling, we use the flip to disrupt the relationship between each block. After block scrambling, the encrypted image is obtained by the modulo operation. To verify the outperformance of the HSCM-IEA, we conduct the experiments contain experimental simulation, statistical analysis, security analysis and speed analysis. The results demonstrate that the proposed algorithm can obtain the visually meaningless cipher. Besides, not only does the HSCM-IEA have the ability to generate a more security cipher, but also can reach a high efficiency compared with some existing image encryption algorithms.
Efficient energy transfer is particularly important for multiexcitonic processes like singlet fission and photon upconversion. Observation of the transition from short-range tunneling to long-range hopping during triplet exciton transfer from CdSe nanocrystals to anthracene is reported here. This is firmly supported by steady-state photon upconversion measurements, a direct proxy for the efficiency of triplet energy transfer (TET), as well as transient absorption measurements. When phenylene bridges are initially inserted between a CdSe nanocrystal donor and anthracene acceptor, the rate of TET decreases exponentially, commensurate with a decrease in the photon upconversion quantum efficiency from 11.6% to 4.51% to 0.284%, as expected from a tunneling mechanism. However, as the rigid bridge is increased in length to 4 and 5 phenylene units, photon upconversion quantum efficiencies increase again to 0.468% and 0.413%, 1.5-1.6 fold higher than that with 3 phenylene units (using the convention where the maximum upconversion quantum efficiency is 100%). This suggests a transition from exciton tunneling to hopping, resulting in relatively efficient and distance-independent TET beyond the traditional 1 nm Dexter distance. Transient absorption spectroscopy is used to confirm triplet energy transfer from CdSe to transmitter, and the formation of a bridge triplet state as an intermediate for the hopping mechanism. This first observation of the tunneling-to-hopping transition for long-range triplet energy transfer between nanocrystal light absorbers and molecular acceptors suggests that these hybrid materials should further be explored in the context of artificial photosynthesis.
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