Search

Your search keyword '"Wang, Guizhen"' showing total 779 results
Start Over Author "Wang, Guizhen"
779 results on '"Wang, Guizhen"'

2. Age Structure and Spatial Distribution Pattern of Rubber Tapping Labor Force in Hainan Island

Author

Wang Guizhen, Chen Bangqian, Lai Hongyan, Wang Xinchen, Gao Yuanfeng, and Wu Zhixiang

Subjects
rubber plantations, tapping labor force, age structure, spatial distribution pattern, labor force shortage, hainan island, Geography (General), G1-922
Abstract

Currently, tapping is the only method of obtaining natural rubber, an essential industrial raw material. The stability of the labor force supply for tapping is crucial for the sustainable development of the natural rubber industry. As China's second-largest rubber planting area, Hainan Island had a planting area of 585,800 hectares in 2020, accounting for 45% of the country's total, with over 2 million workers. Labor force shortages and the aging phenomenon in tapping have become increasingly severe and have attracted significant attention. However, the related research lacks detailed spatial information for conversion estimation, which hinders macroeconomic regulation. This study is based on the 2020 Hainan Island natural rubber distribution map, Dynamic World land use classification products, and the WorldPop population distribution dataset. It employs multiple technical operations such as temporal and spatial filtering, removal of small patches, buffer parameter settings, and masking to obtain the 2020 potential tapping labor density map for Hainan's rubber planting areas. Spatial statistical methods are used to analyze the spatial distribution and age structure characteristics of potential tapping labor force in Hainan's rubber planting areas as well as the spatial distribution of labor force shortage degrees after conversion to actual tapping labor force, including the labor force shortage levels and areas for each city and county, revealing the spatial pattern. The results reveal the following: 1) The total number of potential tapping laborers in Hainan's rubber planting areas is 1.567 4 million, with a spatial distribution pattern of high in the north and low in the south. The proportion of the population aged 45~59 years is 34%, indicating a significant aging trend. 2) There are significant spatial differences in the degree of labor shortage. The primary shortage areas are mainly concentrated in the junction areas of the central-western and central-eastern counties, with a belt-like distribution. In contrast, the secondary and tertiary shortage areas are widely distributed in the central-western, central, and some central-eastern county junctions, with shortage in the central area being particularly severe, showing a contiguous distribution. 3) The primary shortage areas in Danzhou City, Baisha County, and Qiongzhong County rank in the top three, with a cumulative area of 50,500 hectares. Baisha, Qiongzhong, Chengmai, and Ledong Counties are also prominent in the secondary and tertiary shortage areas, covering a total area of 23,300 hectares. In total, the area of labor shortage regions in Hainan Island is 141,700 hectares, necessitating a future focus. To address the labor force shortage issue in tapping, it is recommended to strengthen infrastructure construction in the rubber plantations within the shortage areas and actively promote new tapping methods (e.g., low-frequency tapping) or tools (e.g., electric tapping knives) to reduce the labor intensity of tapping and increase the number of trees tapped per capita. This will provide favorable support for the sustainable and healthy development of Hainan's natural rubber industry. By revealing the spatial distribution characteristics and degree of tapping labor shortage, this study aims to provide robust decision-making support for the Hainan provincial government in addressing employment issues of tapping labor, optimizing human resource management strategies, and promoting the sustainable development of the natural rubber industry.

Published
2024
Full Text
View/download PDF

3. Lightweight Machine Learning for Digital Cross-Link Interference Cancellation with RF Chain Characteristics in Flexible Duplex MIMO Systems

Author

Tan, Jing-Sheng, Yang, Shaoshi, Meng, Kuo, Zhang, Jianhua, Tang, Yurong, Bu, Yan, and Wang, Guizhen

Subjects
Computer Science - Artificial Intelligence, Computer Science - Information Theory
Abstract

The flexible duplex (FD) technique, including dynamic time-division duplex (D-TDD) and dynamic frequency-division duplex (D-FDD), is regarded as a promising solution to achieving a more flexible uplink/downlink transmission in 5G-Advanced or 6G mobile communication systems. However, it may introduce serious cross-link interference (CLI). For better mitigating the impact of CLI, we first present a more realistic base station (BS)-to-BS channel model incorporating the radio frequency (RF) chain characteristics, which exhibit a hardware-dependent nonlinear property, and hence the accuracy of conventional channel modelling is inadequate for CLI cancellation. Then, we propose a channel parameter estimation based polynomial CLI canceller and two machine learning (ML) based CLI cancellers that use the lightweight feedforward neural network (FNN). Our simulation results and analysis show that the ML based CLI cancellers achieve notable performance improvement and dramatic reduction of computational complexity, in comparison with the polynomial CLI canceller., Comment: 5 pages, 6 figures

Published
2023
Full Text
View/download PDF

26. STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data

Author

Wang, Guizhen, Guo, Jingjing, Tang, Mingjie, Neto, José Florencio de Queiroz, Yau, Calvin, Daghistani, Anas, Karimzadeh, Morteza, Aref, Walid G., and Ebert, David S.

Subjects
Computer Science - Databases, Computer Science - Human-Computer Interaction, H.3.3
Abstract

Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However, existing online spatiotemporal sampling techniques are often biased, as most researchers have primarily focused on reducing computational latency. Biased sampling approaches select data with unequal probabilities and produce results that do not match the exact data distribution, leading end users to incorrect interpretations. In this paper, we propose a novel approach to perform unbiased online sampling of large spatiotemporal data. The proposed approach ensures the same probability of selection to every point that qualifies the specifications of a user's multidimensional query. To achieve unbiased sampling for accurate representative interactive visualizations, we design a novel data index and an associated sample retrieval plan. Our proposed sampling approach is suitable for a wide variety of visual analytics tasks, e.g., tasks that run aggregate queries of spatiotemporal data. Extensive experiments confirm the superiority of our approach over a state-of-the-art spatial online sampling technique, demonstrating that within the same computational time, data samples generated in our approach are at least 50% more accurate in representing the actual spatial distribution of the data and enable approximate visualizations to present closer visual appearances to the exact ones., Comment: IEEE VIS (InfoVis/VAST/SciVis) 2020 ACM 2012 CCS - Human-centered computing, Visualization, Visualization design and evaluation methods

Published
2020

33. Route Packing: Geospatially-Accurate Visualization of Route Networks

Author

Zhao, Jieqiong, Karimzadeh, Morteza, Xu, Hanye, Malik, Abish, Afzal, Shehzad, Wang, Guizhen, Elmqvist, Niklas, and Ebert, David S.

Subjects
Computer Science - Human-Computer Interaction
Abstract

We present route packing, a novel (geo)visualization technique for displaying several routes simultaneously on a geographic map while preserving the geospatial layout, identity, directionality, and volume of individual routes. The technique collects variable-width route lines side by side while minimizing crossings, encodes them with categorical colors, and decorates them with glyphs to show their directions. Furthermore, nodes representing sources and sinks use glyphs to indicate whether routes stop at the node or merely pass through it. We conducted a crowd-sourced user study investigating route tracing performance with road networks visualized using our route packing technique. Our findings highlight the visual parameters under which the technique yields optimal performance., Comment: 10 pages, 11 figures, 2 tables, The 53rd Hawaii International Conference on System Sciences (HICSS-53)

Published
2019

41. Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response

Author

Surakitbanharn, Chittayong, Yau, Calvin, Wang, Guizhen, Chawla, Aniesh, Pan, Yinuo, Sun, Zhaoya, Yellin, Sam, Ebert, David, Lu, Yung-Hsiang, and Thiruvathukal, George K.

Subjects
Computer Science - Social and Information Networks, Computer Science - Computer Vision and Pattern Recognition
Abstract

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster., Comment: Best Paper award in IEEE HST Conference 2018

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results