分类： 管理学 >> 管理学其他学科 提交时间： 2022-11-21 合作期刊: 《2022年第三届传播、创新和经济管理国际研讨会》
摘要： Under the theoretical framework of peripheral route and emotional communication. This study, which is an exploratory questionnaire on short video news, takes the audio-visual process of short video news as the research object to investigate the influence of soundtrack rhythm on the emotional transmission of short video news. The study finds that soundtrack is a psychological switch to turn on the processing mode of peripheral route. The score can convey the news emotion. Particularly the fastpaced score can strengthen the flow of the news emotion, leading to affect the cognition and judgment of the audience to the news emotion, stimulate their sharing willingness to like. Meanwhile, the soundtrack of different rhythms have no significant impact on the audience's personal emotion, the willingness to forward and make comments, and the thinking emotions. This study conducts complementary and empirical research on the peripheral route, and finds that the audience who adopts the peripheral route to perceive news has the possibility to switch to the central route.
分类： 计算机科学 >> 计算机应用技术 提交时间： 2019-11-23
摘要： Controlling weeds with reduced reliance on herbicides is one of the main challenges to move toward a more sustainable agriculture. Robotic weeding is a thought to be a viable way to reduce the environmental loading of agrochemicals while keeping the operation efficiency high. One of the key technologies for performing robotic weeding is automatic detection of crops and weeds in fields. This paper presents an overview on various methods for detecting plants based on machine vision, mainly concentrating on two main challenges: dealing with changing light and crop/weed discrimination. To overcome the first challenge, both physical and algorithmic methods have been proposed. Physical methods can result in a more cumbersome machine while algorithmic methods are less robust. For crop/weed discrimination, deep-learning-based methods have shown obvious advantages over traditional methods based on hand-crafted features. However, traditional methods still hold some merits that can be leveraged to deep-learning-based methods. With the fast development of hardware technologies, researchers should take full advantage of advanced hardware to ease the algorithm design. In the future, the identification of crops and weeds can be more accurate and fine-grained with the support of online databases and computing resources based on the advances in artificial intelligence and communication technologies.
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