The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotatio...The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotation is difficult and expensive.The incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled samples.To overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three parts.First,a residual network with dual classifiers is to learn features from cross-domain samples.Second,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source domain.With the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised learning.Third,the adaptation trajectories are designed for sample distributions across domains.This ensures that the target domain samples are only adapted with the pure-labeled samples.The LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related machines.The results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.展开更多
The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. How...The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects;we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.展开更多
It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in Englis...It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in English-Chinese translation. In orderto resolve this translation difficult, this essay mainly analyzes the reasons of the form of polysemy and the reason causes the incor-rect translation and based on that analysis finally put forward some advice.展开更多
新能源电源经柔性直流输电线路接入交流系统已经成为电力系统中的典型场景。以基于模块化多电平换流器的柔性直流(modular multilevel converter-high voltage direct current,MMC-HVDC)受端交流线路配置的正序电压为极化电压的比相式...新能源电源经柔性直流输电线路接入交流系统已经成为电力系统中的典型场景。以基于模块化多电平换流器的柔性直流(modular multilevel converter-high voltage direct current,MMC-HVDC)受端交流线路配置的正序电压为极化电压的比相式距离保护为研究对象,结合受端换流器的控制策略,分析了新能源经柔性高压直送出系统中柔直受端交流线路发生短路故障场景下该保护的适应性:在发生相间金属性短路故障情况下,距离保护存在区内短路拒动以及反向区外短路误动的风险。为探究保护不正确动作机制,首先在电压平面上分析了参量变化对距离保护动作行为的影响,揭示了距离保护内在的系统功角与短路容量约束,推导了距离保护正确动作的功角边界。通过将柔直侧系统进行合理等值,受端交流线路发生相间金属性短路故障后,受端换流器控制策略使得系统等值功角增大,距离保护特性位于动作边界,存在拒动/误动风险。利用RTDS建立了风电经柔直送出系统的仿真模型,分析了受端交流线路故障后系统的等值功角特征,验证了距离保护的不正确动作特性。展开更多
Background and objective: Early and accurate diagnosis is one of the critical requirements for successful management of all diseases. Yet, delayed diagnosis and misdiagnosis remain as vital problems, consequently impo...Background and objective: Early and accurate diagnosis is one of the critical requirements for successful management of all diseases. Yet, delayed diagnosis and misdiagnosis remain as vital problems, consequently impose adverse effects on patient treatment. Sexually transmitted disease (STD) is one of the most common infectious diseases, and more than one million of STD cases are acquired every day globally. Misdiagnosis of STD inevitably exists, therefore should not be overlooked. Being a medical diagnostic laboratory providing various STDs diagnosing service in Hong Kong, we aimed to determine the misdiagnosis rate of STDs and investigate the possible underlying cause. Methods: Specimens were collected for STD diagnosis from multiple clinics during 1 June 2021 to 20 October 2021 from different clinics and hospitals were included in the study. DNA extraction was performed using magnetic bead based method;then the extracted DNA was tested using the DiagCor GenoFlow<sup>TM</sup> STD Array kit to detect the existence of any targeted pathogens. Results: 1459 specimens were collected and included during the designated time period, with 643 specimens found to be positive with at least one targeted STD pathogen. 494 of these were found to be aligned with test ordered by physicians, and the remaining 149 positive cases had at least one pathogen detected but not requested to be tested by the physicians resulting in misdiagnosis. The overall misdiagnosis rate was determined to be 23.2% (149/643), with high frequency of misdiagnosis occurred to tests ordered for one to three pathogens detection. Also, Ureaplasma urealyticum and/or Ureaplasma parvum (UU/UP) was the commonest pathogen detected in this study. Conclusion: The findings suggested incorrect test selection made by physicians was one of the major reasons of STDs misdiagnosis in outpatient settings. To reduce diagnostic errors in STD diagnosis, physicians are encouraged to select and request test that allow detection of multiple pathogens, as co-infection of multiple pathogens in STD patients is commonly observed. The correct selection of test would not only benefit the patient, but also the public health.展开更多
基金the National Key R&D Program of China(2022YFB3402100)the National Science Fund for Distinguished Young Scholars of China(52025056)+4 种基金the National Natural Science Foundation of China(52305129)the China Postdoctoral Science Foundation(2023M732789)the China Postdoctoral Innovative Talents Support Program(BX20230290)the Open Foundation of Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment(2022JXKF JJ01)the Fundamental Research Funds for Central Universities。
文摘The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotation is difficult and expensive.The incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled samples.To overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three parts.First,a residual network with dual classifiers is to learn features from cross-domain samples.Second,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source domain.With the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised learning.Third,the adaptation trajectories are designed for sample distributions across domains.This ensures that the target domain samples are only adapted with the pure-labeled samples.The LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related machines.The results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.
文摘The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects;we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.
文摘It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in English-Chinese translation. In orderto resolve this translation difficult, this essay mainly analyzes the reasons of the form of polysemy and the reason causes the incor-rect translation and based on that analysis finally put forward some advice.
文摘新能源电源经柔性直流输电线路接入交流系统已经成为电力系统中的典型场景。以基于模块化多电平换流器的柔性直流(modular multilevel converter-high voltage direct current,MMC-HVDC)受端交流线路配置的正序电压为极化电压的比相式距离保护为研究对象,结合受端换流器的控制策略,分析了新能源经柔性高压直送出系统中柔直受端交流线路发生短路故障场景下该保护的适应性:在发生相间金属性短路故障情况下,距离保护存在区内短路拒动以及反向区外短路误动的风险。为探究保护不正确动作机制,首先在电压平面上分析了参量变化对距离保护动作行为的影响,揭示了距离保护内在的系统功角与短路容量约束,推导了距离保护正确动作的功角边界。通过将柔直侧系统进行合理等值,受端交流线路发生相间金属性短路故障后,受端换流器控制策略使得系统等值功角增大,距离保护特性位于动作边界,存在拒动/误动风险。利用RTDS建立了风电经柔直送出系统的仿真模型,分析了受端交流线路故障后系统的等值功角特征,验证了距离保护的不正确动作特性。
文摘Background and objective: Early and accurate diagnosis is one of the critical requirements for successful management of all diseases. Yet, delayed diagnosis and misdiagnosis remain as vital problems, consequently impose adverse effects on patient treatment. Sexually transmitted disease (STD) is one of the most common infectious diseases, and more than one million of STD cases are acquired every day globally. Misdiagnosis of STD inevitably exists, therefore should not be overlooked. Being a medical diagnostic laboratory providing various STDs diagnosing service in Hong Kong, we aimed to determine the misdiagnosis rate of STDs and investigate the possible underlying cause. Methods: Specimens were collected for STD diagnosis from multiple clinics during 1 June 2021 to 20 October 2021 from different clinics and hospitals were included in the study. DNA extraction was performed using magnetic bead based method;then the extracted DNA was tested using the DiagCor GenoFlow<sup>TM</sup> STD Array kit to detect the existence of any targeted pathogens. Results: 1459 specimens were collected and included during the designated time period, with 643 specimens found to be positive with at least one targeted STD pathogen. 494 of these were found to be aligned with test ordered by physicians, and the remaining 149 positive cases had at least one pathogen detected but not requested to be tested by the physicians resulting in misdiagnosis. The overall misdiagnosis rate was determined to be 23.2% (149/643), with high frequency of misdiagnosis occurred to tests ordered for one to three pathogens detection. Also, Ureaplasma urealyticum and/or Ureaplasma parvum (UU/UP) was the commonest pathogen detected in this study. Conclusion: The findings suggested incorrect test selection made by physicians was one of the major reasons of STDs misdiagnosis in outpatient settings. To reduce diagnostic errors in STD diagnosis, physicians are encouraged to select and request test that allow detection of multiple pathogens, as co-infection of multiple pathogens in STD patients is commonly observed. The correct selection of test would not only benefit the patient, but also the public health.
