Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligenc...Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligence(AI)to study the spotted tongue recognition of traditional Chinese medicine(TCM).Methods A model of spotted tongue recognition and extraction is designed,which is based on the principle of image deep learning and instance segmentation.This model includes multiscale feature map generation,region proposal searching,and target region recognition.Firstly,deep convolution network is used to build multiscale low-and high-abstraction feature maps after which,target candidate box generation algorithm and selection strategy are used to select high-quality target candidate regions.Finally,classification network is used for classifying target regions and calculating target region pixels.As a result,the region segmentation of spotted tongue is obtained.Under non-standard illumination conditions,various tongue images were taken by mobile phones,and experiments were conducted.Results The spotted tongue recognition achieved an area under curve(AUC)of 92.40%,an accuracy of 84.30%with a sensitivity of 88.20%,a specificity of 94.19%,a recall of 88.20%,a regional pixel accuracy index pixel accuracy(PA)of 73.00%,a mean pixel accuracy(m PA)of73.00%,an intersection over union(Io U)of 60.00%,and a mean intersection over union(mIo U)of 56.00%.Conclusion The results of the study verify that the model is suitable for the application of the TCM tongue diagnosis system.Spotted tongue recognition via multiscale convolutional neural network(CNN)would help to improve spot classification and the accurate extraction of pixels of spot area as well as provide a practical method for intelligent tongue diagnosis of TCM.展开更多
Camera calibration is the key technique in a C-arm based orthopaedic surgical navigation system. The extraction of marker location information is a necessary step in the calibration process. Ideal marker images should...Camera calibration is the key technique in a C-arm based orthopaedic surgical navigation system. The extraction of marker location information is a necessary step in the calibration process. Ideal marker images should possess uniform background and contain marker shadow only, but in fact marker images always possess nonuniform background and are contaminated by noise and unwanted anatomic information, making the extraction very difficult. A target-orientated marker shadow extraction method was proposed. With this method a proper threshold for marker image binarization can be determined.展开更多
Forecasts of record values are usually avoided unless expected to occur with great confidence within less than 48 hours, or in association with an extreme event such as a hurricane. Otherwise the risk of a high visibi...Forecasts of record values are usually avoided unless expected to occur with great confidence within less than 48 hours, or in association with an extreme event such as a hurricane. Otherwise the risk of a high visibility false alarm outweighs the benefit of a correct early hit. Yet automated forecasts may occasionally include record values beyond day 2, which forecasters may choose to downplay, or not. In Canada, forecasters keep their focus on high impact weather for days l and 2, so that forecasts for day 3 and beyond are mostly automated and usually released after a quick glance. So a process was designed to bring up cases where automated temperature forecasts exceed known records for a number of sites, with the sole purpose of alerting the forecasters who may decide whether or not modifications are needed before release. As a by-product it is found that some record temperature forecasts are issued every day in Canada, even more records are actually observed, and in recent years there have been twice as many new high records as low ones. We discuss the origin of the process, its logics, its current status, interesting findings, and possible improvements.展开更多
Hate crimes are a culture phenomenon which is perceived by most as an occurrence that should be uprooted from the society. Yet, to date, we have been unable to do so. Hate crimes are the subject of research and commen...Hate crimes are a culture phenomenon which is perceived by most as an occurrence that should be uprooted from the society. Yet, to date, we have been unable to do so. Hate crimes are the subject of research and comments by experts in various fields. In this regard, most scholars agree that a hate based crime is distinguished from a ＂regular＂ criminal offence by the motive--the attack is aimed at a victim who is part of a differentiated minority group. However, when reading the relevant documents in the area, it seems that the differences between the experts start at the most basic point--what constitutes hate crimes？ This article analyses the concept of ＂hate crimes＂ via an interdisciplinary approach aimed at flashing out the fundamental gaps in the research. We have found that the problems include, inter alia, discrepancies in the definition of hate crimes, methodological difficulties regarding validity and legitimacy （mainly due to the absence of information based on the attacker＇s point of view） and the lack of agreement on the appropriate legal methods required to deal with the ramifications of hate crimes. While part I of this paper revolves around the theoretical aspects of the questions put forth at the centre of this article, part II looks at the same questions from a legal viewpoint. The correlation between the two chapters shows the impact the methodological difficulties have on enforcement endeavors. This relation is further advanced through the examination of test cases from different countries, among them--lsrael. Finally, the article concludes by suggesting a few thoughts on the way to overcome the theoretical problems and making the enforcement efforts more efficient.展开更多
Most of the Zambian population, the poor people in affluent society, are enmeshed in the net of poverty. The Zambian government seems to have failed in its contractual obligation to respect and sustain its social cont...Most of the Zambian population, the poor people in affluent society, are enmeshed in the net of poverty. The Zambian government seems to have failed in its contractual obligation to respect and sustain its social contract with the people. There is a seemingly total collapse of social security, increased unemployment rate and consequently decreased living conditions among the youth. This study sets out to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II by analyzing the impact of unemployment and suggests strategic solutions to mitigate the levels of unemployment. The primary objective of this study is to investigate the impact on the living conditions caused by unemployment in Zambia specifically in Kaunda Square Stage II and adopt strategic solutions that will mitigate creation of jobs to improve the living conditions. The study underscores that unemployment is a universal phenomenon, not necessarily a peculiar characteristic of any segment of the society. Reducing poverty, preventing excessive inequality, and generating adequate employment are the three most important goals of a macroeconomic strategy that seeks to improve the living standards of the population. Inequality and employment are each a complex phenomenon and difficult to capture with a single measurement, particularly in a low-income economy undergoing change. It is in this context that the study intends to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II and to provide strategic solutions that may improve living conditions in Kaunda Square Stage II. The study concludes that high unemployment in Kaunda Square Stage II increases poverty which subsequently affects living conditions. Therefore, when, unemployment rates increase the opportunities for earning income decreases which instigate individuals to be poor. The paper closes with reflections on how good strategic solutions can be used to underwrite more employment reduction strategies.展开更多
基金Anhui Province College Natural Science Fund Key Project of China(KJ2020ZD77)the Project of Education Department of Anhui Province(KJ2020A0379)。
文摘Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligence(AI)to study the spotted tongue recognition of traditional Chinese medicine(TCM).Methods A model of spotted tongue recognition and extraction is designed,which is based on the principle of image deep learning and instance segmentation.This model includes multiscale feature map generation,region proposal searching,and target region recognition.Firstly,deep convolution network is used to build multiscale low-and high-abstraction feature maps after which,target candidate box generation algorithm and selection strategy are used to select high-quality target candidate regions.Finally,classification network is used for classifying target regions and calculating target region pixels.As a result,the region segmentation of spotted tongue is obtained.Under non-standard illumination conditions,various tongue images were taken by mobile phones,and experiments were conducted.Results The spotted tongue recognition achieved an area under curve(AUC)of 92.40%,an accuracy of 84.30%with a sensitivity of 88.20%,a specificity of 94.19%,a recall of 88.20%,a regional pixel accuracy index pixel accuracy(PA)of 73.00%,a mean pixel accuracy(m PA)of73.00%,an intersection over union(Io U)of 60.00%,and a mean intersection over union(mIo U)of 56.00%.Conclusion The results of the study verify that the model is suitable for the application of the TCM tongue diagnosis system.Spotted tongue recognition via multiscale convolutional neural network(CNN)would help to improve spot classification and the accurate extraction of pixels of spot area as well as provide a practical method for intelligent tongue diagnosis of TCM.
基金Project of Science and Technology Committee of Shanghai Municipality (No.2528(3))
文摘Camera calibration is the key technique in a C-arm based orthopaedic surgical navigation system. The extraction of marker location information is a necessary step in the calibration process. Ideal marker images should possess uniform background and contain marker shadow only, but in fact marker images always possess nonuniform background and are contaminated by noise and unwanted anatomic information, making the extraction very difficult. A target-orientated marker shadow extraction method was proposed. With this method a proper threshold for marker image binarization can be determined.
文摘Forecasts of record values are usually avoided unless expected to occur with great confidence within less than 48 hours, or in association with an extreme event such as a hurricane. Otherwise the risk of a high visibility false alarm outweighs the benefit of a correct early hit. Yet automated forecasts may occasionally include record values beyond day 2, which forecasters may choose to downplay, or not. In Canada, forecasters keep their focus on high impact weather for days l and 2, so that forecasts for day 3 and beyond are mostly automated and usually released after a quick glance. So a process was designed to bring up cases where automated temperature forecasts exceed known records for a number of sites, with the sole purpose of alerting the forecasters who may decide whether or not modifications are needed before release. As a by-product it is found that some record temperature forecasts are issued every day in Canada, even more records are actually observed, and in recent years there have been twice as many new high records as low ones. We discuss the origin of the process, its logics, its current status, interesting findings, and possible improvements.
文摘Hate crimes are a culture phenomenon which is perceived by most as an occurrence that should be uprooted from the society. Yet, to date, we have been unable to do so. Hate crimes are the subject of research and comments by experts in various fields. In this regard, most scholars agree that a hate based crime is distinguished from a ＂regular＂ criminal offence by the motive--the attack is aimed at a victim who is part of a differentiated minority group. However, when reading the relevant documents in the area, it seems that the differences between the experts start at the most basic point--what constitutes hate crimes？ This article analyses the concept of ＂hate crimes＂ via an interdisciplinary approach aimed at flashing out the fundamental gaps in the research. We have found that the problems include, inter alia, discrepancies in the definition of hate crimes, methodological difficulties regarding validity and legitimacy （mainly due to the absence of information based on the attacker＇s point of view） and the lack of agreement on the appropriate legal methods required to deal with the ramifications of hate crimes. While part I of this paper revolves around the theoretical aspects of the questions put forth at the centre of this article, part II looks at the same questions from a legal viewpoint. The correlation between the two chapters shows the impact the methodological difficulties have on enforcement endeavors. This relation is further advanced through the examination of test cases from different countries, among them--lsrael. Finally, the article concludes by suggesting a few thoughts on the way to overcome the theoretical problems and making the enforcement efforts more efficient.
文摘Most of the Zambian population, the poor people in affluent society, are enmeshed in the net of poverty. The Zambian government seems to have failed in its contractual obligation to respect and sustain its social contract with the people. There is a seemingly total collapse of social security, increased unemployment rate and consequently decreased living conditions among the youth. This study sets out to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II by analyzing the impact of unemployment and suggests strategic solutions to mitigate the levels of unemployment. The primary objective of this study is to investigate the impact on the living conditions caused by unemployment in Zambia specifically in Kaunda Square Stage II and adopt strategic solutions that will mitigate creation of jobs to improve the living conditions. The study underscores that unemployment is a universal phenomenon, not necessarily a peculiar characteristic of any segment of the society. Reducing poverty, preventing excessive inequality, and generating adequate employment are the three most important goals of a macroeconomic strategy that seeks to improve the living standards of the population. Inequality and employment are each a complex phenomenon and difficult to capture with a single measurement, particularly in a low-income economy undergoing change. It is in this context that the study intends to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II and to provide strategic solutions that may improve living conditions in Kaunda Square Stage II. The study concludes that high unemployment in Kaunda Square Stage II increases poverty which subsequently affects living conditions. Therefore, when, unemployment rates increase the opportunities for earning income decreases which instigate individuals to be poor. The paper closes with reflections on how good strategic solutions can be used to underwrite more employment reduction strategies.
