As a branch of computer science,information visualization aims to help users understand and analyze complex data through graphical interfaces and interactive technologies.Information visualization primarily includes v...As a branch of computer science,information visualization aims to help users understand and analyze complex data through graphical interfaces and interactive technologies.Information visualization primarily includes various visual structures such as time-series structures,spatial relationship structures,statistical distribution structures,and geographic map structures,each with unique functions and application scenarios.To better explain the cognitive process of visualization,researchers have proposed various cognitive models based on interaction mechanisms,visual perception steps,and novice use of visualization.These models help understand user cognition in information visualization,enhancing the effectiveness of data analysis and decision-making.展开更多
Birds have acute vision and many remarkable visual cognition abilities,due to their unique living environment.The underlying neural mechanisms have also attracted interests of researchers in neuroscience.Here,we first...Birds have acute vision and many remarkable visual cognition abilities,due to their unique living environment.The underlying neural mechanisms have also attracted interests of researchers in neuroscience.Here,we firstly summarize the visual cognition abilities of birds,and make a comparison with mammals.Secondly,the underlying neural mechanisms are presented,including histological structure of avian brain and visual pathways,typical experimental results and conclusions in electrochemistry and electrophysiology.The latter mainly focuses on several higher brain areas related to visual cognition,including mesopallium ventrolaterale,entopallium,visual Wulst,and nidopallium caudolaterale.Finally,we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual cognition.This review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.展开更多
The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natu...The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natural scene image classification.This approach consists of one visual perception model and two visual cognition models.The visual perception model,composed of two steps,is used to extract discriminative features from natural scene images.In the first step,we mimic the oriented and bandpass properties of human primary visual cortex by a special complex wavelets transform,which can decompose a natural scene image into a series of 2D spatial structure signals.In the second step,a hybrid statistical feature extraction method is used to generate gist features from those 2D spatial structure signals.Then we design a cognitive feedback model to realize adaptive optimization for the visual perception model.At last,we build a multiple semantics based cognition model to imitate human cognitive mode in rapid natural scene categorization.Experiments on natural scene datasets show that the proposed method achieves high efficiency and accuracy for natural scene classification.展开更多
In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and the...In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and then uses spatial cognitive elements such as direction, area, height and their topological constraints to classify them precisely, so as to make them conform to the urban morphological characteristics. Delaunay triangulation network and boundary tracking synthesis algorithm are used to merge and summarize the models, and the models are stored hierarchically. The proposed algorithm should be verified experimentally with a typical urban complex model. The experimental results show that the efficiency of the method used in this paper is at least 20% higher than that of previous one, and with the growth of test data, the higher efficiency is improved. The classification results conform to human cognitive habits, and the generalization levels of different models can be relatively unified by adaptive control of each threshold in the clustering generalization process.展开更多
Haptic(vibration)information expression is an effective human-computer interaction mode and information transfer method.It makes up shortcomings of sound under certain conditions and is an important channel of informa...Haptic(vibration)information expression is an effective human-computer interaction mode and information transfer method.It makes up shortcomings of sound under certain conditions and is an important channel of information transfer for route guidance field.As a special kind of walkers,the visually impaired pedestrians have a specific type of cognition or perception of route guidance environment(including spatial orientation,distance and walking speed etc.)and they have sharp sense of touch resources form the ordinary.This work integrated application of GPS,GIS and Haptic(vibration)technology to develop more reliable mode route guidance for the visually impaired.It provides different vibration to the user under two circumstances:key nodes of roads ahead and deviation planning path.It resists environmental noise,reflects timely and has high effectiveness.Based on Google Legend phone,we developed the prototype and realized the designed functions,and verified the effectiveness of the system.We initially determined the thresholds of deviating from the path,those at road junctions and other nodes through experiments,interviews etc.And we used the thresholds for experiments testing and guiding.Then they were inspected,corrected and improved in the field practice.Finally,more reasonable thresholds were drawn out for future applications in reality.展开更多
目的应用计量学方法分析国内外术后认知障碍研究的发文概况与热点。方法纳入2013—2023年中国知网和Web of Science数据库发表的术后认知障碍相关文献,应用CiteSpace软件统计分析。结果共纳入中文文献2705篇,英文核心文献2412篇。2013—...目的应用计量学方法分析国内外术后认知障碍研究的发文概况与热点。方法纳入2013—2023年中国知网和Web of Science数据库发表的术后认知障碍相关文献,应用CiteSpace软件统计分析。结果共纳入中文文献2705篇,英文核心文献2412篇。2013—2023年术后认知障碍相关研究发文量逐年增加;中国是国际上发文量最多的国家,中国的首都医科大学发文量居首位;国内术后认知障碍研究以临床研究为主,国外则侧重于病理机制与基础研究。研究热点分析显示,术后认知障碍在炎症机制、麻醉等研究领域中备受关注。结论2013—2023年,术后认知障碍的国内外研究热度总体呈上升趋势,但其病理、生理机制有待深入研究。术后认知障碍的危险因素、与麻醉及病死率的相关性正被积极探索,经皮电刺激等预防与治疗的新方法逐渐兴起。展开更多
目的:对脊髓损伤(spinal cord injury,SCI)后认知障碍相关文献进行可视化分析和知识图谱绘制,总结该领域的研究现状,探讨未来研究方向。方法:以Web of Science(WOS)核心数据库作为数据来源,检索式为“TS=(cognitive impairment)AND TS=(...目的:对脊髓损伤(spinal cord injury,SCI)后认知障碍相关文献进行可视化分析和知识图谱绘制,总结该领域的研究现状,探讨未来研究方向。方法:以Web of Science(WOS)核心数据库作为数据来源,检索式为“TS=(cognitive impairment)AND TS=(spinal cord injury)”,检索1992年1月1日~2023年11月7日发表的SCI后认知障碍相关文献,应用Office Excel 2016对该领域的年发文量绘制折线图,应用CiteSpace(6.2.R4)软件对纳入文献的国家、机构、作者、关键词进行可视化分析。结果:共纳入462篇文献,年度发文量总体呈上升趋势,发文量排名前三的国家是美国、中国、加拿大,发文量排名前三的机构是Veterns Health Administration、US Department of Veterns Affairs、Harvard University。形成以Arora Mohit、Shahabi Parviz、Bauman William A为代表的作者合作网络。研究热点主要集中在SCI后认知障碍的病理机制和评估体系的构建等方面。结论:SCI后认知障碍的研究关注度逐年升高,阐明SCI后认知障碍形成的病理机制、构建SCI后完整全面的认知功能评估体系以及探索有效的治疗策略是未来研究的热点。展开更多
文摘As a branch of computer science,information visualization aims to help users understand and analyze complex data through graphical interfaces and interactive technologies.Information visualization primarily includes various visual structures such as time-series structures,spatial relationship structures,statistical distribution structures,and geographic map structures,each with unique functions and application scenarios.To better explain the cognitive process of visualization,researchers have proposed various cognitive models based on interaction mechanisms,visual perception steps,and novice use of visualization.These models help understand user cognition in information visualization,enhancing the effectiveness of data analysis and decision-making.
基金supported by the National Natural Science Foundation of China(No.61673353)the Key Scientific Research Projects of Colleges and Universities in Henan Province,China(No.20A413009)。
文摘Birds have acute vision and many remarkable visual cognition abilities,due to their unique living environment.The underlying neural mechanisms have also attracted interests of researchers in neuroscience.Here,we firstly summarize the visual cognition abilities of birds,and make a comparison with mammals.Secondly,the underlying neural mechanisms are presented,including histological structure of avian brain and visual pathways,typical experimental results and conclusions in electrochemistry and electrophysiology.The latter mainly focuses on several higher brain areas related to visual cognition,including mesopallium ventrolaterale,entopallium,visual Wulst,and nidopallium caudolaterale.Finally,we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual cognition.This review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.
文摘The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natural scene image classification.This approach consists of one visual perception model and two visual cognition models.The visual perception model,composed of two steps,is used to extract discriminative features from natural scene images.In the first step,we mimic the oriented and bandpass properties of human primary visual cortex by a special complex wavelets transform,which can decompose a natural scene image into a series of 2D spatial structure signals.In the second step,a hybrid statistical feature extraction method is used to generate gist features from those 2D spatial structure signals.Then we design a cognitive feedback model to realize adaptive optimization for the visual perception model.At last,we build a multiple semantics based cognition model to imitate human cognitive mode in rapid natural scene categorization.Experiments on natural scene datasets show that the proposed method achieves high efficiency and accuracy for natural scene classification.
文摘In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and then uses spatial cognitive elements such as direction, area, height and their topological constraints to classify them precisely, so as to make them conform to the urban morphological characteristics. Delaunay triangulation network and boundary tracking synthesis algorithm are used to merge and summarize the models, and the models are stored hierarchically. The proposed algorithm should be verified experimentally with a typical urban complex model. The experimental results show that the efficiency of the method used in this paper is at least 20% higher than that of previous one, and with the growth of test data, the higher efficiency is improved. The classification results conform to human cognitive habits, and the generalization levels of different models can be relatively unified by adaptive control of each threshold in the clustering generalization process.
文摘Haptic(vibration)information expression is an effective human-computer interaction mode and information transfer method.It makes up shortcomings of sound under certain conditions and is an important channel of information transfer for route guidance field.As a special kind of walkers,the visually impaired pedestrians have a specific type of cognition or perception of route guidance environment(including spatial orientation,distance and walking speed etc.)and they have sharp sense of touch resources form the ordinary.This work integrated application of GPS,GIS and Haptic(vibration)technology to develop more reliable mode route guidance for the visually impaired.It provides different vibration to the user under two circumstances:key nodes of roads ahead and deviation planning path.It resists environmental noise,reflects timely and has high effectiveness.Based on Google Legend phone,we developed the prototype and realized the designed functions,and verified the effectiveness of the system.We initially determined the thresholds of deviating from the path,those at road junctions and other nodes through experiments,interviews etc.And we used the thresholds for experiments testing and guiding.Then they were inspected,corrected and improved in the field practice.Finally,more reasonable thresholds were drawn out for future applications in reality.
文摘目的应用计量学方法分析国内外术后认知障碍研究的发文概况与热点。方法纳入2013—2023年中国知网和Web of Science数据库发表的术后认知障碍相关文献,应用CiteSpace软件统计分析。结果共纳入中文文献2705篇,英文核心文献2412篇。2013—2023年术后认知障碍相关研究发文量逐年增加;中国是国际上发文量最多的国家,中国的首都医科大学发文量居首位;国内术后认知障碍研究以临床研究为主,国外则侧重于病理机制与基础研究。研究热点分析显示,术后认知障碍在炎症机制、麻醉等研究领域中备受关注。结论2013—2023年,术后认知障碍的国内外研究热度总体呈上升趋势,但其病理、生理机制有待深入研究。术后认知障碍的危险因素、与麻醉及病死率的相关性正被积极探索,经皮电刺激等预防与治疗的新方法逐渐兴起。
文摘目的:对脊髓损伤(spinal cord injury,SCI)后认知障碍相关文献进行可视化分析和知识图谱绘制,总结该领域的研究现状,探讨未来研究方向。方法:以Web of Science(WOS)核心数据库作为数据来源,检索式为“TS=(cognitive impairment)AND TS=(spinal cord injury)”,检索1992年1月1日~2023年11月7日发表的SCI后认知障碍相关文献,应用Office Excel 2016对该领域的年发文量绘制折线图,应用CiteSpace(6.2.R4)软件对纳入文献的国家、机构、作者、关键词进行可视化分析。结果:共纳入462篇文献,年度发文量总体呈上升趋势,发文量排名前三的国家是美国、中国、加拿大,发文量排名前三的机构是Veterns Health Administration、US Department of Veterns Affairs、Harvard University。形成以Arora Mohit、Shahabi Parviz、Bauman William A为代表的作者合作网络。研究热点主要集中在SCI后认知障碍的病理机制和评估体系的构建等方面。结论:SCI后认知障碍的研究关注度逐年升高,阐明SCI后认知障碍形成的病理机制、构建SCI后完整全面的认知功能评估体系以及探索有效的治疗策略是未来研究的热点。
