Relationship between stems moisture to medical (Senecio L.) and elevation in Shan County

A key plant species (Senecio L.) not only is a vital multilevel functional medicinal material of indications of respiratory tract infections, tonsillitis, pharyngitis, pneumonia, conjunctivitis, enteritis, dysentery, but also it is a widely distributed wide plant species. This plant species is widely distributed elevation from 500m to 1500m in six landscapes in Shan County of China. However, understanding dynamics of stems moisture of the plants is difficult along elevation. Herein showed that relations between stems moisture of the species and elevation is a significant positive connection from 500m to 1000m (P<0.01) as well as relationships between stems moisture of this species to elevation is a significant negative connection from 1000m to 1500m (P<0.01). This study provides six types and eco-adaptation for finding new species. Therefore, this study has theoretical and practical significance for plants protection along elevation and environmental gradient over the spatial-temporal-environmental-disturbance scales (STEDS) in the multilevel green space diversity.

Mobile Image Multi-label Recognition Algorithm Based on PaddlePaddle Platform

As one of the core algorithms of machine vision, the mobile image multi-label recognition algorithm has received extensive attention from researchers in recent years and has been widely used in cutting-edge fields such as deep learning framework paddlepaddle platform, video surveillance, intelligent robots, and unmanned aerial vehicles. However, the existing recognition algorithms are not completely satisfied with the practical application in life and production. Due to the complexity of the platform environment, they can often only propose specific solutions based on existing problems, and there is no universal algorithm that is suitable for all kinds of Complex environment. The purpose of this paper is to study the multi-label recognition algorithm of moving images based on PaddlePaddle platform. This research mainly analyzes and researches the mobile image multi-tag space deployment plan and the multi-tag recognition algorithm, and further improves the tag reading rate and recognition reliability of the mobile image on the PaddlePaddle platform. This research first analyzes several key factors that affect the performance of UHF recognition system, considers the improvement plan of PaddlePaddle platform’s mobile image multi-tag recognition algorithm from the two aspects of space diversity and frequency diversity, and finally determines the multiple The label space diversity scheme, and the introduction of a multi-label optimization recognition algorithm to improve the recognition efficiency of the PaddlePaddle platform’s mobile image multi-label. Experimental data shows that the reading rate can reach 0.907 when identifying 300 tags in the experiment, and when the number of tags is greater than 300, the reading rate is close to 1, which verifies that the algorithm proposed in this paper is used in the multi-tag recognition of moving images on the PaddlePaddle platform.

Optical Wireless Communications Using Signal Space Diversity with Spatial Modulation

A signal space diversity (SSD) scheme was proposed to be incorporated with spatial modulation (SM) in an intensity-modulation/direct-detection-based multiple-input-single-output (MISO) indoor optical wireless communication (OWC) system to improve bit-error-rate (BER) performance and system throughput. SSD was realized via signal constellation rotation and diversity interleaving using different channel gains to improve the BER. With SM incorporated, the MISO-OWC system throughput increased. Theoretical BER expressions of the SSD scheme were established for the first time by investigating the distance of neighboring constellation symbols upon maximum-likelihood detection. Such BER expressions were further verified by numerical results. The results showed that, except for the slightly-lower-accuracy performance brought by comparable distances of neighboring constellation symbols in cases of low signal-to-noise ratios, these BER expressions were accurate in most scenarios. Moreover, theoretical investigations of channel gain distributions were performed at different signal constellation rotation angles to show the capability of the SSD scheme to improve the BER. The results showed that a significantly improved BER by two orders of magnitude could be achieved using a reasonably high channel-gain ratio and a larger constellation rotation angle. The SSD-SM scheme provides a promising option to achieve transmitter diversity with an enhanced throughput in high-speed indoor OWC systems.

Optimasi Jaringan Microwave Site Cipetir-Cibadak Dengan Menggunakan Space Diversity

Penelitian ini melakukan optimasi pada jaringan microwave site Cipetir-Cibadak dengan menggunakan space diversity dengan frekuensi kerja 32 GHz. Kondisi wilayah site Cipetir-Cibadak merupakan daerah perbukitan dengan jarak 11,42 Km, sehingga diperlukan penambahan antena diversity. Optimasi jaringan microwave ini dilakukan menggunakan software Pathloss 5.0 untuk melihat perbandingan sebelum dan sesudah menggunakan antena diversity. Parameter yang digunakan pada performansi optimasi jaringan microwave ini adalah availibility yang diperoleh berdasarkan simulasi menggunakan vigent barnet dan ITU-R. Nilai availibility yang diperoleh sebelum optimasi berdasarkan vigent barnet 99,86112% dan ITU 99,87924%, setelah pemasangan antena diversity pada jarak 100l, 125l, 150l, 175l dan 200l dan pada jarak 200l nilai availibility meningkat berdasarkan vigent barnet 99,91027% dan ITU-R 99,9118%. Penggunaan teknik space diversity ini dapat meningkatkan kehandalan sistem.