Experiential activities are the most direct form of ecological teaching, so outdoor education is an important way of learning. Through direct observation and life experience, students will learn about the ecological environment, understand the importance of the ecological environment, raise their awareness of environmental protection, and put into practice the protection of the ecological environment. This study involved plant teaching activities that incorporated school plant learning paths into environmental education, so that students could learn about flora, experience nature, and take care of the environment. We created an augmented reality application for use in schools that takes the user on an ecological tour of the plants in the diet of butterflies. The application formed the localized and special mobile learning content in a school. Students were allowed to walk out of the classroom and use their mobile device to engage in autonomous learning, and we then determined their acceptance of the augmented reality application. Through this application we were able to tell whether students were able to adapt to learning with technology combined with traditional teaching methods. This application was tested on a group of elementary school students, who were then interviewed using quantitative and qualitative research methods to understand the users’ feedback.
In recent years, low-power technology has had a significant impact on portable electronic devices; with mobile devices, the low-power circuit design has become the primary issue. At present, thin-film transistor liquid crystal display (TFT LCD) is widely used in handheld mobile devices. In terms of the overall system power consumption, TFT LCD power consumes 20%-45% of total system power due to different applications. The backlight of an LCD display dominates the power consumption of the whole system; controlling the backlight current to reduce the brightness and the contrast of LCDs can reduce the overall power consumption. However, this may cause significant changes in visual perception. In order to reduce the power consumption and eliminate the visual changes, the issue becomes: how to reduce the current by adjusting brightness and contrast in accordance with the current image. Based on content analysis, this paper proposes two new algorithms: the new backlight-dimming algorithm (NBDA) and the new image enhancement algorithm (NIEA). The proposed methods can, on average, simultaneously reduce power consumption by 47% and improve the image enhancement ratio by 6.8%. Moreover, the structural-similarity index metric (SSIM) is used to evaluate image quality
In this paper, we propose a reconfigurable IDCT architecture for multi-standard video decoders. It can support different video standards such as MPEG-1/2/4, VC-1 and H.264 AVC. Moreover, the particular part of this architecture does not use any multiplier and ROM circuit; it only needs adders and shifters. In digital circuit, the area of adders and shifters are superior to multipliers and ROM, The reconfigurable IDCT architecture only needs 13 adders in the adder kernel. Finally, we realize this architecture by using 0.18um technology to accomplish the chip design. The experimental result shows the total gate counts only 12.4 K. Moreover, the power consumption is 4.85mW@100MHz. Therefore, the architecture is regular and suitable for multi-standard video decoders.
Abstract-This paper presents a high-profile intra predictior for H.264 video decoder. To alleviate the starved bandwidth of intra compensation in high-definition video, we reuse the neighboring pixels and optimize the buffer size and access latency. In particular, a dedicated pixel buffer reuses neighboring pixel for realizing MB-adaptive frame-field (MBAFF) decoding in intra compensation. Moreover, a basemode predictor is explored to optimize the area efficiency for reference sample filtering process (RSFP) in intra 8x8 modes. Simulation results show that the proposed data-reused intra prediction module requires 14K logic gates and 688 bits SRAM, and operates on 100MHz frequency for realizing 1080HD video playback at 30fps.
3D-TV plays an important revolution in consumer electronics. However, depth map generation is a critical technology for 2D to 3D conversion. In this paper, we propose a hybrid depth-perception algorithm for 2D-to-3D conversion in 3D display systems. The algorithm consists of three parts: moving object of border extraction, vanish line detection, and smoothing of the depth map. From the experimental results by using 3D active glasses, the quality of depth perception is good enough, hence the human eye can't find noticeable differences. Furthermore, the proposed algorithm is also suitable for VLSI design.
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