Citizen science is a participatory research design that utilizes both non-professional researchers and professional researchers to collect, analyze, and disperse data. Citizen scientists seek to discover answers and d...Citizen science is a participatory research design that utilizes both non-professional researchers and professional researchers to collect, analyze, and disperse data. Citizen scientists seek to discover answers and draw solutions to scientific questions. The Hofmann Open Water Laboratory (HOWL) project, established in 2016, focuses its collaborative-based efforts in eastern North Carolina. HOWL citizen scientists monitor water quality, and quantity, that flows on and off the Hofmann Forest. HOWL provides opportunities to citizen scientists and gathers data to meet the project outcomes, which include understanding the importance of Hofmann Forest in the inner coastal plain of North Carolina, building science education skills for citizen science participants, and enhancing community relationships between the forest and citizens. This article outlines several approaches for developing citizen science projects in a forest context, drawing on experiences from HOWL. The paradigm can be used to meet the needs of any forest landscape’s research and management goals, while employing a participatory research approach. The guidelines present suggestions for productive and enduring processes for citizen engagement and project sustainability. Each project will need participants to set goals, build a diverse collaboration, and establish on-going evaluation processes to determine successful and failed components that ensures the project moves forward effectively. The citizen science efforts near the Hofmann Forest in Eastern North Carolina provided an excellent case study of the development of citizen science on the forest and adjacent lands. HOWL attempts to meet participant and socio-ecological outcomes, such as encouraging public action in natural resource and forest management, as well as enhancing scientific knowledge and skills. The project helps synthesize our experiences in this effort and the social science literature, providing reasonable guidelines for those seeking to establish their own citizen science efforts within a forest context.展开更多
针对"基于像素的条件随机场(conditional random fields,CRFs)模型能否在m级分辨率的多光谱遥感图像分类中表现良好"的问题,提出了集成图像的光谱、方向梯度直方图和多尺度多方向Texton纹理等多种线索的CRFs模型定义方法。利...针对"基于像素的条件随机场(conditional random fields,CRFs)模型能否在m级分辨率的多光谱遥感图像分类中表现良好"的问题,提出了集成图像的光谱、方向梯度直方图和多尺度多方向Texton纹理等多种线索的CRFs模型定义方法。利用上述特征,选择随机森林(random forests,RF)定义CRFs关联势函数;利用特征对比度加权的Potts函数定义CRFs交互势函数,并且建立了多标签的RF-CRFs模型;对该模型进行分项参数训练以及基于图割的α-膨胀算法推理;利用典型城区的Quick Bird多光谱图像进行模型的验证与精度评价。结果表明RF-CRFs模型的分类精度可达82.52%以上,比RF分类器的分类精度提高了3.35%。展开更多
以Web of Science核心合集的312篇森林康养主题文献为研究对象,借助CiteSpace软件对该领域的时空特征、知识基础、研究热点与趋势进行可视化分析,系统梳理国际森林康养研究领域的历程与进展,发现该研究领域正处于快速增长阶段;日本、韩...以Web of Science核心合集的312篇森林康养主题文献为研究对象,借助CiteSpace软件对该领域的时空特征、知识基础、研究热点与趋势进行可视化分析,系统梳理国际森林康养研究领域的历程与进展,发现该研究领域正处于快速增长阶段;日本、韩国、美国、意大利、中国大陆等具有较强研究实力;研究内容集中在论证森林康养对不同人群、不同疾病的有益性上。新冠疫情背景下,森林康养产生的心理效益呈现出热点趋势,数字森林康养也得到了部分学者的关注。结合研究发现与国内实际情况,对未来研究提出加强不同林分对人体健康有益性的研究、强化森林环境与在地文化关联的研究,探索积极老龄化背景下森林康养发展模式研究等建议。展开更多
To enhance the communication between human and robots at home in the future, speech synthesis interfaces are indispensable that can generate expressive speech. In addition, synthesizing celebrity voice is commercially...To enhance the communication between human and robots at home in the future, speech synthesis interfaces are indispensable that can generate expressive speech. In addition, synthesizing celebrity voice is commercially important. For these issues, this paper proposes techniques for synthesizing natural-sounding speech that has a rich prosodic personality using a limited amount of data in a text-to-speech (TTS) system. As a target speaker, we chose a well-known prime minister of Japan, Shinzo Abe, who has a good prosodic personality in his speeches. To synthesize natural-sounding and prosodically rich speech, accurate phrasing, robust duration prediction, and rich intonation modeling are important. For these purpose, we propose pause position prediction based on conditional random fields (CRFs), phone-duration prediction using random forests, and mora-based emphasis context labeling. We examine the effectiveness of the above techniques through objective and subjective evaluations.展开更多
文摘Citizen science is a participatory research design that utilizes both non-professional researchers and professional researchers to collect, analyze, and disperse data. Citizen scientists seek to discover answers and draw solutions to scientific questions. The Hofmann Open Water Laboratory (HOWL) project, established in 2016, focuses its collaborative-based efforts in eastern North Carolina. HOWL citizen scientists monitor water quality, and quantity, that flows on and off the Hofmann Forest. HOWL provides opportunities to citizen scientists and gathers data to meet the project outcomes, which include understanding the importance of Hofmann Forest in the inner coastal plain of North Carolina, building science education skills for citizen science participants, and enhancing community relationships between the forest and citizens. This article outlines several approaches for developing citizen science projects in a forest context, drawing on experiences from HOWL. The paradigm can be used to meet the needs of any forest landscape’s research and management goals, while employing a participatory research approach. The guidelines present suggestions for productive and enduring processes for citizen engagement and project sustainability. Each project will need participants to set goals, build a diverse collaboration, and establish on-going evaluation processes to determine successful and failed components that ensures the project moves forward effectively. The citizen science efforts near the Hofmann Forest in Eastern North Carolina provided an excellent case study of the development of citizen science on the forest and adjacent lands. HOWL attempts to meet participant and socio-ecological outcomes, such as encouraging public action in natural resource and forest management, as well as enhancing scientific knowledge and skills. The project helps synthesize our experiences in this effort and the social science literature, providing reasonable guidelines for those seeking to establish their own citizen science efforts within a forest context.
文摘针对"基于像素的条件随机场(conditional random fields,CRFs)模型能否在m级分辨率的多光谱遥感图像分类中表现良好"的问题,提出了集成图像的光谱、方向梯度直方图和多尺度多方向Texton纹理等多种线索的CRFs模型定义方法。利用上述特征,选择随机森林(random forests,RF)定义CRFs关联势函数;利用特征对比度加权的Potts函数定义CRFs交互势函数,并且建立了多标签的RF-CRFs模型;对该模型进行分项参数训练以及基于图割的α-膨胀算法推理;利用典型城区的Quick Bird多光谱图像进行模型的验证与精度评价。结果表明RF-CRFs模型的分类精度可达82.52%以上,比RF分类器的分类精度提高了3.35%。
文摘以Web of Science核心合集的312篇森林康养主题文献为研究对象,借助CiteSpace软件对该领域的时空特征、知识基础、研究热点与趋势进行可视化分析,系统梳理国际森林康养研究领域的历程与进展,发现该研究领域正处于快速增长阶段;日本、韩国、美国、意大利、中国大陆等具有较强研究实力;研究内容集中在论证森林康养对不同人群、不同疾病的有益性上。新冠疫情背景下,森林康养产生的心理效益呈现出热点趋势,数字森林康养也得到了部分学者的关注。结合研究发现与国内实际情况,对未来研究提出加强不同林分对人体健康有益性的研究、强化森林环境与在地文化关联的研究,探索积极老龄化背景下森林康养发展模式研究等建议。
文摘To enhance the communication between human and robots at home in the future, speech synthesis interfaces are indispensable that can generate expressive speech. In addition, synthesizing celebrity voice is commercially important. For these issues, this paper proposes techniques for synthesizing natural-sounding speech that has a rich prosodic personality using a limited amount of data in a text-to-speech (TTS) system. As a target speaker, we chose a well-known prime minister of Japan, Shinzo Abe, who has a good prosodic personality in his speeches. To synthesize natural-sounding and prosodically rich speech, accurate phrasing, robust duration prediction, and rich intonation modeling are important. For these purpose, we propose pause position prediction based on conditional random fields (CRFs), phone-duration prediction using random forests, and mora-based emphasis context labeling. We examine the effectiveness of the above techniques through objective and subjective evaluations.
