The human body is well organized, regulated and connected. One of the greatest scientific challenges today is to integrate mind, behaviour and health. Enormous advances in health care have been achieved.However, disea...The human body is well organized, regulated and connected. One of the greatest scientific challenges today is to integrate mind, behaviour and health. Enormous advances in health care have been achieved.However, diseases like cancer still require treatment options beyond therapeutic drugs, namely surgery and radiation. Human being is not only made of cells, tissues and organs, but also feelings and sensations.Linking mental state with physical health is essential to include all elements of disease. For this purpose,halalopathy has been introduced as a new model to integrate mind, behaviour and health, where psychology, spirituality and rationality can be integrated together to generate a well-organized, regulated and connected health system. Halalopathic approaches are based on mind-trust-drug and mindtrust-belief. If the drug and human's belief are compatible, trust in the rationally designed drug will be synergized and placebo effects will be activated to initiate the healing process. Such an organized health system will lower the body's entropy and increase potential energy, which is an important aspect to promote the healing process, with a therapeutic drug toward complete recovery. This study enlightens laws of compatibility to initiate a domino chain effect to activate placebo effects and lower the body's entropy.The healing power of each effect will contribute to the healing process and enhance the total drug effects.展开更多
PHM(prognostics and health management)系统健康评估作为连接故障诊断和故障预测的纽带,具有十分重要的作用。针对自动驾驶仪PHM系统健康评估存在的多工况、非线性和小子样问题,提出了一种面向自动驾驶仪PHM系统的贝叶斯网络简化推理...PHM(prognostics and health management)系统健康评估作为连接故障诊断和故障预测的纽带,具有十分重要的作用。针对自动驾驶仪PHM系统健康评估存在的多工况、非线性和小子样问题,提出了一种面向自动驾驶仪PHM系统的贝叶斯网络简化推理模型,建立了一种基于可变信息的改进贝叶斯节点和迭代交叉熵测度的变模型快速推理算法。算法理论仿真实验验证了其有效性和工程可行性,最后在某型直升机电动舵机平台上验证了该改进算法,具有较好的工程应用前景。展开更多
针对当前应用层分布式拒绝服务攻击(App-DDoS)检测方法高度依赖于系统日志,且检测攻击类型单一的问题,提出了基于卡尔曼滤波和信息熵的联合检测模型DFM-FA(detection and filtering model against App-DDoSattacks based on flow analys...针对当前应用层分布式拒绝服务攻击(App-DDoS)检测方法高度依赖于系统日志,且检测攻击类型单一的问题,提出了基于卡尔曼滤波和信息熵的联合检测模型DFM-FA(detection and filtering model against App-DDoSattacks based on flow analysis),将应用层的行为异常检测映射为网络层的流量异常检测,最大限度地保证了合法用户的优先正常访问。实验证明,DFM-FA既不依赖于系统日志,同时又能检测到FTP、DNS等多种App-DDoS攻击。展开更多
文摘The human body is well organized, regulated and connected. One of the greatest scientific challenges today is to integrate mind, behaviour and health. Enormous advances in health care have been achieved.However, diseases like cancer still require treatment options beyond therapeutic drugs, namely surgery and radiation. Human being is not only made of cells, tissues and organs, but also feelings and sensations.Linking mental state with physical health is essential to include all elements of disease. For this purpose,halalopathy has been introduced as a new model to integrate mind, behaviour and health, where psychology, spirituality and rationality can be integrated together to generate a well-organized, regulated and connected health system. Halalopathic approaches are based on mind-trust-drug and mindtrust-belief. If the drug and human's belief are compatible, trust in the rationally designed drug will be synergized and placebo effects will be activated to initiate the healing process. Such an organized health system will lower the body's entropy and increase potential energy, which is an important aspect to promote the healing process, with a therapeutic drug toward complete recovery. This study enlightens laws of compatibility to initiate a domino chain effect to activate placebo effects and lower the body's entropy.The healing power of each effect will contribute to the healing process and enhance the total drug effects.
文摘PHM(prognostics and health management)系统健康评估作为连接故障诊断和故障预测的纽带,具有十分重要的作用。针对自动驾驶仪PHM系统健康评估存在的多工况、非线性和小子样问题,提出了一种面向自动驾驶仪PHM系统的贝叶斯网络简化推理模型,建立了一种基于可变信息的改进贝叶斯节点和迭代交叉熵测度的变模型快速推理算法。算法理论仿真实验验证了其有效性和工程可行性,最后在某型直升机电动舵机平台上验证了该改进算法,具有较好的工程应用前景。
文摘针对当前应用层分布式拒绝服务攻击(App-DDoS)检测方法高度依赖于系统日志,且检测攻击类型单一的问题,提出了基于卡尔曼滤波和信息熵的联合检测模型DFM-FA(detection and filtering model against App-DDoSattacks based on flow analysis),将应用层的行为异常检测映射为网络层的流量异常检测,最大限度地保证了合法用户的优先正常访问。实验证明,DFM-FA既不依赖于系统日志,同时又能检测到FTP、DNS等多种App-DDoS攻击。
