Heterogeneous wireless sensor network( HWSN) is composed of different functional nodes and is widely applied. With the deployment in hostile environment,the secure problem of HWSN is of great importance; moreover,it b...Heterogeneous wireless sensor network( HWSN) is composed of different functional nodes and is widely applied. With the deployment in hostile environment,the secure problem of HWSN is of great importance; moreover,it becomes complex due to the mutual characteristics of sensor nodes in HWSN. In order to enhance the network security,an asymmetric key pre-distributed management scheme for HWSN is proposed combining with authentication process to further ensure the network security; meanwhile,an effective authentication method for newly added nodes is presented. Simulation result indicates that the proposed scheme can improve the network security while reducing the storage space requirement efficiently.展开更多
Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning algorithms, however, have to depend on samples with complete labels. The existing learning algori...Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning algorithms, however, have to depend on samples with complete labels. The existing learning algorithms with missing labels do not consider the relevance of labels, resulting in label estimation errors of new samples. A new multi-label learning algorithm with support vector machine(SVM) based association(SVMA) is proposed to estimate missing labels by constructing the association between different labels. SVMA will establish a mapping function to minimize the number of samples in the margin while ensuring the margin large enough as well as minimizing the misclassification probability. To evaluate the performance of SVMA in the condition of missing labels, four typical data sets are adopted with the integrity of the labels being handled manually. Simulation results show the superiority of SVMA in dealing with the samples with missing labels compared with other models in image classification.展开更多
The universality of the application of wireless sensor networks( WSN) makes more attention be paid on the security problem. Node authentication is not only the basis of network security,but also the premise of key man...The universality of the application of wireless sensor networks( WSN) makes more attention be paid on the security problem. Node authentication is not only the basis of network security,but also the premise of key management and secure routing protocol. Although the signature mechanism based on symmetric encryption is high in energy efficiency,it is vulnerable to be attacked and there is a time delay during authentication. Traditional public key encryption mechanism with improvement in security brings in complex algorithm and costs much time,which is not suitable for WSN. In this paper,a signature authentication mechanism,an optimized variant Bellare Namprempre Neven( OvBNN) is presented to quickly complete the authentication by mutual cooperation between nodes so as to make the nodes use the intermediate calculation results of their neighbor nodes directly.Simulation results show that the proposed mechanism is superior to traditional authentication mechanisms both in energy consumption and authentication time.展开更多
OBJECTIVE: To formulate the quality evaluation questionnaire of Traditional Chinese Medicine(TCM) nursing plan for stroke in acute and recovery phases, and to evaluate the quality of TCM nursing plan for stroke by cli...OBJECTIVE: To formulate the quality evaluation questionnaire of Traditional Chinese Medicine(TCM) nursing plan for stroke in acute and recovery phases, and to evaluate the quality of TCM nursing plan for stroke by clinical nurses. METHODS: The questionnaire was designed by referring to the Applicability Questionnaire of TCM Clinical Diagnosis and Treatment Guideline, and the expert consultation was used to assess the content validity. In addition, the results of the questionnaire were processed and analyzed with SPSS20.0 software. RESULTS: The content validity of the self-designed questionnaire was 0.94 for the S-CVI/Ave score. The results of the questionnaire demonstrated that the overall content of the plan was "better than the original routine nursing plan"(59.18%); the recognition degree of "common symptoms"(36.70%) and "syndrome classification"(36.70%) of the plan was the lowest. CONCLUSION: The plan is supposed to be further improved in the future in order to be coincident with clinical reality.展开更多
The evidence-based Traditional Chinese Medicine(TCM) nursing in standard plan is to be constructed by a combination of evidence-based thinking and expert consensus.(1) The symptoms of diseases with better curative eff...The evidence-based Traditional Chinese Medicine(TCM) nursing in standard plan is to be constructed by a combination of evidence-based thinking and expert consensus.(1) The symptoms of diseases with better curative effect in TCM and the nursing techniques of TCM based on scientific evidence can be preliminarily presented through bibliometric analysis.(2) Expert consultation letters can be developed based on bibliometric results, and symptoms of dominant diseases in TCM and TCM nursing techniques can be selected through those letters.(3) Based on the selected symptoms and TCM nursing techniques, the PICO can be determined, and then evidence search, evidence extraction, evidence analysis can be conducted and synthesized, and recommendations would be chosen.(4) The recommendation grade of each recommendation can be determined by applying the Delphi method and referring to GRADE.(5) The plan will be determined through discussions of experts. The construction of TCM nursing plan would make sure that TCM nursing is scientific, and internationalize TCM nursing.展开更多
基金Support by the National High Technology Research and Development Program of China(No.2012AA120802)National Natural Science Foundation of China(No.61771186)+2 种基金Postdoctoral Research Project of Heilongjiang Province(No.LBH-Q15121)University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province(No.UNPYSCT-2017125)Postgraduate Innovation Research Project of Heilongjiang University(No.YJSCX2018-051HLJU)
文摘Heterogeneous wireless sensor network( HWSN) is composed of different functional nodes and is widely applied. With the deployment in hostile environment,the secure problem of HWSN is of great importance; moreover,it becomes complex due to the mutual characteristics of sensor nodes in HWSN. In order to enhance the network security,an asymmetric key pre-distributed management scheme for HWSN is proposed combining with authentication process to further ensure the network security; meanwhile,an effective authentication method for newly added nodes is presented. Simulation result indicates that the proposed scheme can improve the network security while reducing the storage space requirement efficiently.
基金Support by the National High Technology Research and Development Program of China(No.2012AA120802)National Natural Science Foundation of China(No.61771186)+1 种基金Postdoctoral Research Project of Heilongjiang Province(No.LBH-Q15121)Undergraduate University Project of Young Scientist Creative Talent of Heilongjiang Province(No.UNPYSCT-2017125)
文摘Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning algorithms, however, have to depend on samples with complete labels. The existing learning algorithms with missing labels do not consider the relevance of labels, resulting in label estimation errors of new samples. A new multi-label learning algorithm with support vector machine(SVM) based association(SVMA) is proposed to estimate missing labels by constructing the association between different labels. SVMA will establish a mapping function to minimize the number of samples in the margin while ensuring the margin large enough as well as minimizing the misclassification probability. To evaluate the performance of SVMA in the condition of missing labels, four typical data sets are adopted with the integrity of the labels being handled manually. Simulation results show the superiority of SVMA in dealing with the samples with missing labels compared with other models in image classification.
基金Support by the National High Technology Research and Development Program of China(2012AA120802)the National Natural Science Foundation of China(61771186)+1 种基金the Postdoctoral Research Project of Heilongjiang Province(LBH-Q15121) the Undergraduate University Project of Young Scientist Creative Talent of Heilongjiang Province(UNPYSCT-2017125)
文摘The universality of the application of wireless sensor networks( WSN) makes more attention be paid on the security problem. Node authentication is not only the basis of network security,but also the premise of key management and secure routing protocol. Although the signature mechanism based on symmetric encryption is high in energy efficiency,it is vulnerable to be attacked and there is a time delay during authentication. Traditional public key encryption mechanism with improvement in security brings in complex algorithm and costs much time,which is not suitable for WSN. In this paper,a signature authentication mechanism,an optimized variant Bellare Namprempre Neven( OvBNN) is presented to quickly complete the authentication by mutual cooperation between nodes so as to make the nodes use the intermediate calculation results of their neighbor nodes directly.Simulation results show that the proposed mechanism is superior to traditional authentication mechanisms both in energy consumption and authentication time.
文摘OBJECTIVE: To formulate the quality evaluation questionnaire of Traditional Chinese Medicine(TCM) nursing plan for stroke in acute and recovery phases, and to evaluate the quality of TCM nursing plan for stroke by clinical nurses. METHODS: The questionnaire was designed by referring to the Applicability Questionnaire of TCM Clinical Diagnosis and Treatment Guideline, and the expert consultation was used to assess the content validity. In addition, the results of the questionnaire were processed and analyzed with SPSS20.0 software. RESULTS: The content validity of the self-designed questionnaire was 0.94 for the S-CVI/Ave score. The results of the questionnaire demonstrated that the overall content of the plan was "better than the original routine nursing plan"(59.18%); the recognition degree of "common symptoms"(36.70%) and "syndrome classification"(36.70%) of the plan was the lowest. CONCLUSION: The plan is supposed to be further improved in the future in order to be coincident with clinical reality.
文摘The evidence-based Traditional Chinese Medicine(TCM) nursing in standard plan is to be constructed by a combination of evidence-based thinking and expert consensus.(1) The symptoms of diseases with better curative effect in TCM and the nursing techniques of TCM based on scientific evidence can be preliminarily presented through bibliometric analysis.(2) Expert consultation letters can be developed based on bibliometric results, and symptoms of dominant diseases in TCM and TCM nursing techniques can be selected through those letters.(3) Based on the selected symptoms and TCM nursing techniques, the PICO can be determined, and then evidence search, evidence extraction, evidence analysis can be conducted and synthesized, and recommendations would be chosen.(4) The recommendation grade of each recommendation can be determined by applying the Delphi method and referring to GRADE.(5) The plan will be determined through discussions of experts. The construction of TCM nursing plan would make sure that TCM nursing is scientific, and internationalize TCM nursing.
