Influence of the Power Generation Capacity of the Structural Parameters of a Piezoelectric Bimorph

With the popularization of integrated circuits, MEMS, and portable electronic devices, chemical batteries have many disadvantages as the main energy supply method, such as large size, high quality, and limited energy supply life, requiring regular replacement, resulting in waste of materials, environmental pollution, and other issues. From the above reasons, energy harvesting technology plays an important role in improving the efficiency and life of electronic equipment. In order to explore the influence of the bimorph piezoelectric vibrator’s structural parameters on the power generation capacity, this paper establishes a cantilever beam rectangular bimorph piezoelectric vibrator power generation model, derives the mathematical expression of the bimorph piezoelectric vibrator power generation, and determines the parameter factors that affect the power generation effect. Using MATLAB simulation analysis to obtain the influence relationship curve of system output voltage and structural parameters, the experiment tests the influence law of output voltage and thickness ratio, width-to-length ratio, and Young’s modulus ratio; the test results are consistent with the theoretical analysis, verifying the theory and the correctness of the analysis. The results show that when the thickness ratio is 0.58 and the width-to-length ratio is 1, the power generation effect of the piezoelectric vibrator is the best to reach 14.5V; the power generation capacity of the transducer is inversely proportional to Young’s modulus ratio. This research provides a new idea for the popularization of integrated circuits, MEMS, and portable electronic devices.

Encoding and Encoding–Retrieval Interactions

Topics covered include the notion that there are no dedicated memory encoding processes as such; rather, encoding is equated with perception and comprehension. Studies by Craik, Moscovitch, and McDowd (1994), and by Challis, Velichkovsky, and Craik (1996) are described and their implications discussed. The differential sensitivity of retrieval tests (e.g., implicit/explicit) to different encoding operations is discussed in terms of test requirements for different types of information rather than as reflecting different memory systems. General principles of encoding are proposed; these include depth, elaboration, congruity, and distinctiveness. Memory-boosting procedures such as rehearsal, organization, retrieval as encoding, the generation effect, and subject-performed tasks are discussed and evaluated. Other topics described, illustrated, and discussed include the picture superiority effect, the self-reference effect, the effect of task difficulty on later memory, differential effects of divided attention at encoding and retrieval, and the concept of consolidation.

A Preliminary Study on the Formation of the General Layouts on the Northern Neighborhood Community Based on GauGAN Diversity Output Generator

Recently, the mainstream gradually has become replacing neighborhood-style communities with high-density residences. The original pleasant scale and enclosed residential spaces have been broken, and the traditional neighborhood relations are going away. This research uses machine learning to train the model to generate a new plan, which is used in today’s residential design. First, in order to obtain a better generation effect, this study extracts the transcendental information of the neighborhood community in north of China, using roads, buildings etc. as morphological representations; GauGAN, compared to the pix2pix and pix2pixHD, used by predecessors, can achieve a clearer and a more diversified output and also fit irregular contours more realistically. ANN model trained by 167 general layout samples of a neighborhood community in north of China from 1950s to 1970s can generate various general layouts in different shapes and scales. The experiment proves that GauGAN is more suitable for general layout generation than pix2pix (pix2pixHD); Distributed training can improve the clarity of the generation and allow later vectorization to be more convenient.

Memory for the source of solutions in remote associate tasks: The role of generation effect and the Aha!-experience

The aim of the current work is to study the role of the Aha!-experience in remembering the source of solutions, either self-generated or externally presented. In memory studies there are specific source-monitoring errors, which occur whenever a participant claims to have generated an idea that was derived from different sources (unconscious plagiarism). Several previous studies have shown that experiencing the feeling of Aha! during either problem-solving or the presentation of the correct solutions can have a beneficial relationship to the subsequent recall of the material with the processing of which it was associated. However, studies of the Aha!-experience on the source monitoring task (self-generated solutions vs presented solutions) have not been conducted. In the authors’ study, the hypothesis that the feeling of Aha!, associated with the task being solved, can affect source-monitoring accuracy. During the first stage of the experiment, participants (80 people) had to solve Compound Remote Associates Task items and to estimate whether they had a feeling of Aha!, when either generating the solution or being presented with it in case they failed to generate it. At the second stage, conducted a week later, participants had to recall if the solution was generated by themselves or just presented. The results confirm the generation effect, which manifests itself in successfully recalling problems for which a solution was found (sufficient generation) compared to problems with no-solutions found (fail-to-generate). Participants quite accurately recognized the source of the solution a week later, attributing generated solutions to themselves, while attributing fail-to-generate solutions to the presented ones. However, the authors did not find any additional impact of the Aha!-experience on the problem’s recognition, nor on the sourcemonitoring task performance. In the conclusion of the article, the contradictions of different experimental data concerning the influence of the Aha!-experience on long-term memory and further areas of research is discussed.