从游客视角探究旅游目的地形象感知,获取游客诉求,发现旅游目的地发展中的不足,为进一步完善目的地形象构建提供依据。以马蜂窝、同程旅行、携程旅行、途牛旅游为基础数据库提取网络评价文本,采用内容分析法,借助ROST CM 6.0软件从认知、情感、整体形象三个方面进行研究。结果表明:(1)滑雪、景色、动物是游客对河北省度假旅游形象的基本认知;(2)游客对河北省度假旅游整体情感较为满意,消极感知体现在景区服务、景区配套设施、景区管理和价格方面;(3)游客对河北省度假旅游的整体形象感知分为三个层次,对省内各度假旅游区的了解相对独立。
Monitoring minuscule mechanical signals,both in magnitude and direction,is imperative in many application scenarios,e.g.,structural health monitoring and robotic sensing systems.However,the piezoelectric sensor struggles to satisfy the requirements for directional recognition due to the limited piezoelectric coefficient matrix,and achieving sensitivity for detecting micrometer-scale deformations is also challenging.Herein,we develop a vector sensor composed of lead zirconate titanate-electronic grade glass fiber composite filaments with oriented arrangement,capable of detecting minute anisotropic deformations.The as-prepared vector sensor can identify the deformation directions even when subjected to an unprecedented nominal strain of 0.06%,thereby enabling its utility in accurately discerning the 5μm-height wrinkles in thin films and in monitoring human pulse waves.The ultra-high sensitivity is attributed to the formation of porous ferroelectret and the efficient load transfer efficiency of continuous lead zirconate titanate phase.Additionally,when integrated with machine learning techniques,the sensor’s capability to recognize multi-signals enables it to differentiate between 10 types of fine textures with 100%accuracy.The structural design in piezoelectric devices enables a more comprehensive perception of mechanical stimuli,offering a novel perspective for enhancing recognition accuracy.
