BACKGROUND Systematic review focuses on the visual patient avatar(VPA)technology,a tool designed to enhance situational awareness in anesthesia by transforming traditional numerical data into intuitive visual displays...BACKGROUND Systematic review focuses on the visual patient avatar(VPA)technology,a tool designed to enhance situational awareness in anesthesia by transforming traditional numerical data into intuitive visual displays.AIM To explore how VPA can improve perceptual performance,reduce cognitive load,and increase user acceptance,potentially leading to better patient outcomes.METHODS The review is based on 14 studies conducted between 2018 and 2023 in five different hospitals across Europe.RESULTS These studies demonstrate that VPA allows clinicians to perceive and recall vital signs more efficiently than conventional monitoring methods.The technology’s intuitive design helps reduce cognitive workload,indicating less mental effort required for patient monitoring.Users’feedback on VPA was generally positive,highlighting its potential to enhance monitoring and decision-making in highstress environments.However,some users noted the need for further development,particularly in visualization design and data integration.CONCLUSION Review concludes that VPA technology represents a significant advancement in patient monitoring,promoting better situational awareness and potentially improving safety in perioperative care.展开更多
Tracking multiple space objects using multiple surveillance sensors is a critical approach in many Space Situation Awareness(SSA) applications. In this process, the uncertainties of targets,dynamics, and observations ...Tracking multiple space objects using multiple surveillance sensors is a critical approach in many Space Situation Awareness(SSA) applications. In this process, the uncertainties of targets,dynamics, and observations are usually represented by the probability distributions. However, precise characterization of uncertainty becomes challenging due to imperfect knowledge about some key aspects, such as birth targets and sensor detection profiles. To overcome this challenge, this paper proposes a multi-sensor possibility PHD filter based on the theory of outer probability measures. An effective compensation method is introduced to tackle variations in the fields of view of SSA sensors or instances of missed detections, aiming to mitigate the inconsistency in localized information. The proposed method is adapted to centralized and distributed sensor networks, offering effective solutions for multi-sensor multi-target tracking. The major innovation of the proposed method compared with typical methods is the proper description of epistemic uncertainty, which yields more robust performance in the scenarios of lacking some information about the system.The effectiveness of the multi-sensor possibility PHD filter is demonstrated by a comparison with conventional methods in two simulated scenarios.展开更多
Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimi...Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimizing the undergraduate teaching mode of internal medicine and improving teaching quality.Methods:A total of 32 undergraduate students majoring in clinical medicine(Grade 2021)from Shanghai University of Medicine&Health Sciences were selected as the research subjects.They were divided into an experimental group and a control group by random number table method,with 16 students in each group.The control group adopted the traditional PBL teaching method,while the experimental group used the PBL teaching method based on situational simulation videos.After the teaching,the mastery of theoretical knowledge of students in the two groups was evaluated by examinations;a questionnaire survey was conducted to assess students’self-perceived improvement in clinical thinking,learning interest,self-directed learning ability and teamwork ability;statistical methods were used to analyze the data.Results:The scores of theoretical knowledge examination of students in the experimental group were significantly higher than those in the control group,and the difference was statistically significant(p<0.05).In terms of self-evaluation,the experimental group showed better performance than the control group in the cultivation of clinical thinking,learning interest and selfdirected learning ability,with statistically significant differences(p<0.05);however,there was no statistically significant difference in the self-evaluation of teamwork ability between the two groups(p>0.05).Conclusion:The PBL teaching method based on situational simulation videos can effectively improve students’level of theoretical knowledge,enhance their clinical thinking,learning interest and self-directed learning ability in undergraduate teaching of internal medicine,and is worthy of further promotion and application in undergraduate teaching of internal medicine.展开更多
BACKGROUND Student standardized patients(SSPs)can serve as valuable tools in teaching acute and severe gastrointestinal tumors.AIM To explore the effect of SSP on scenario simulation teaching and its impact on teachin...BACKGROUND Student standardized patients(SSPs)can serve as valuable tools in teaching acute and severe gastrointestinal tumors.AIM To explore the effect of SSP on scenario simulation teaching and its impact on teaching outcomes.METHODS From July 2021 to June 2024,200 nursing interns were taught about severe gastrointestinal tumor disease.In July 2022 the SSP scenario simulation teaching method was introduced to an observation group of 100 students.A control group of 100 students was taught using traditional methods from July 2021 to June 2022.The traditional teaching included classroom theoretical instruction,laboratory practical teaching,and course assessments.During the practical laboratory sessions,students performed operations using simulation mannequins,and course assessments were based on theoretical test scores combined with practical assessments using the mannequins.The teaching effects of both groups were compared in terms of comprehensive quality and student satisfaction.RESULTS The observation group exhibited significantly higher theoretical and operational scores(P<0.05),a notably livelier classroom atmosphere(P<0.05),and a higher learning satisfaction than the control group(98.00%vs 91.00%)(P<0.05).CONCLUSION SSP combined with scenario simulation teaching enhanced the effectiveness of acute and severe gastrointestinal tumor disease education,improved students’overall quality,and increased their learning satisfaction,making it a valuable approach for wider adoption.展开更多
College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philos...College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philosophies,traditional college English teaching methods no longer meet the learning needs of contemporary students.Situational cognitive learning theory emphasizes learner-centered approaches and highlights the contextual and practical application of knowledge,offering innovative perspectives for reforming college English teaching.When applied effectively,situational cognitive learning theory can optimize teaching methods and significantly improve learning outcomes.This paper explores the connotation and characteristics of situational cognitive learning theory,evaluates its applicability in college English teaching,and discusses its practical implementation in this context.The aim is to provide theoretical and practical references for improving the quality of college English education.展开更多
Wireless networks support numerous terminals,manage large data volumes,and provide diverse services,but the vulnerability to environmental changes leads to increased complexity and costs.Situational awareness has been...Wireless networks support numerous terminals,manage large data volumes,and provide diverse services,but the vulnerability to environmental changes leads to increased complexity and costs.Situational awareness has been widely applied in network management,but existing methods fail to find optimal solutions due to the high heterogeneity of base stations,numerous metrics,and complex intercell dependencies.To address this gap,this paper proposes a specialized framework for wireless networks,integrating an evaluation model and control approach.The framework expands the indicator set into four key areas,introduces an evaluation method,and proposes the indicator perturbation greedy(IPG)algorithm and the adjustment scheme selection method based on damping coefficient(DCSS)for effective network optimization.A case study in an urban area demonstrates the framework’s ability to balance and improve network performance,enhancing situational awareness and operational efficiency under dynamic conditions.展开更多
Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend o...Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.展开更多
Situational Approach has contributed a lot in the language teaching.There are many strengths to justify the use of Situational Approach for hotel English teaching in vocational colleges of China.In this article,firstl...Situational Approach has contributed a lot in the language teaching.There are many strengths to justify the use of Situational Approach for hotel English teaching in vocational colleges of China.In this article,firstly,it will discuss some backgroup information of the Situational Approach.Secondly,it will discuss the definition of Situational Approach.Thirdly,it will argue why use the Situational Approach for hotel English teaching in vocational colleges of China.Fourthly,it will point out the disadvantages use the Situational Approach for hotel English teaching in vocational colleges of China.Finally,it will argue that my modified plan for hotel English teaching in vocational colleges of China.展开更多
It is significant that the degree or formality is expected in communication. This article will present this kind of data whichenable us to obverse the process of variation at work in the speech of an competent speaker...It is significant that the degree or formality is expected in communication. This article will present this kind of data whichenable us to obverse the process of variation at work in the speech of an competent speaker. The data discussed in this paper pre-sented how speakers not only apply‘principles of grammar'in order to produce what they want to say, but also‘rules for speak-ing',which facilitate them to vary their speech to fit the immediate situation.展开更多
It is to conduct the teaching exploration for the situational sports model＇s implementation in sports teaching. It is indicated that the implementation of the situational teaching is good to improve the students＇ in...It is to conduct the teaching exploration for the situational sports model＇s implementation in sports teaching. It is indicated that the implementation of the situational teaching is good to improve the students＇ initiative and interest for study; good for the students＇ participation; good to improve students＇ initiative, sports ability and sports level; good to promote students to have healthy physical and psychological development; good to optimize the teaching process and activate the class atmosphere; and also good to promote students＇ social development factor. It is an ideal teaching concept and teaching model.展开更多
The existing network security management systems are unable either to provide users with useful security situation and risk assessment, or to aid administrators to make right and timely decisions based on the current ...The existing network security management systems are unable either to provide users with useful security situation and risk assessment, or to aid administrators to make right and timely decisions based on the current state of network. These disadvantages always put the whole network security management at high risk. This paper establishes a simulation environment, captures the alerts as the experimental data and adopts statistical analysis to seek the vulnerabilities of the services provided by the hosts in the network. According to the factors of the network, the paper introduces the two concepts： Situational Meta and Situational Weight to depict the total security situation. A novel hierarchical algorithm based on analytic hierarchy process （AHP） is proposed to analyze the hierarchy of network and confirm the weighting coefficients. The algorithm can be utilized for modeling security situation, and determining its mathematical expression. Coupled with the statistical results, this paper simulates the security situational trends. Finally, the analysis of the simulation results proves the algorithm efficient and applicable, and provides us with an academic foundation for the implementation in the security situation展开更多
In order to improve the performance of UAV's autonomous maneuvering decision-making,this paper proposes a decision-making method based on situational continuity.The algorithm in this paper designs a situation eval...In order to improve the performance of UAV's autonomous maneuvering decision-making,this paper proposes a decision-making method based on situational continuity.The algorithm in this paper designs a situation evaluation function with strong guidance,then trains the Long Short-Term Memory(LSTM)under the framework of Deep Q Network(DQN)for air combat maneuvering decision-making.Considering the continuity between adjacent situations,the method takes multiple consecutive situations as one input of the neural network.To reflect the difference between adjacent situations,the method takes the difference of situation evaluation value as the reward of reinforcement learning.In different scenarios,the algorithm proposed in this paper is compared with the algorithm based on the Fully Neural Network(FNN)and the algorithm based on statistical principles respectively.The results show that,compared with the FNN algorithm,the algorithm proposed in this paper is more accurate and forwardlooking.Compared with the algorithm based on the statistical principles,the decision-making of the algorithm proposed in this paper is more efficient and its real-time performance is better.展开更多
In recent years,probabilistic tracking methods have been becoming increasingly popular for solving the multi-target tracking problem in Space Situational Awareness(SSA).Bayesian frameworks have been used to describe t...In recent years,probabilistic tracking methods have been becoming increasingly popular for solving the multi-target tracking problem in Space Situational Awareness(SSA).Bayesian frameworks have been used to describe the objects’of interest states and cardinality as point processes.The inputs of the Bayesian framework filters are a probabilistic description of the scene at hand,the probability of clutter during the observation,the probability of detection of the objects,the probability of object survival and birth rates,and in the state update,the measurement uncertainty and process noise for the propagation.However,in the filter derivation,the assumptions of Poisson distributions of the object prior and the clutter model are made.Extracting the first-order moments of the full Bayesian framework leads to a so-called Probability Hypothesis Density(PHD)filter.The first moment extraction of the PHD filter process is extremely sensitive to both the input parameters and the measurements.The specifics of the SSA problem and its probabilistic description are illustrated in this paper and compared to the assumptions that the PHD filter is based on.As an example,this paper shows the response of a Cardinality only PHD filter(only the number of objects is estimated,not their corresponding states)to different input parameterizations.The very simple Cardinality only PHD filter is chosen in order to clearly show the sole effects of the model mismatch that might be blurred with state estimation effects,such as non-linearity in the dynamical model,in a full PHD filter implementation.The simulated multi-target tracking scenario entails the observation of attitude stable and unstable geostationary objects.展开更多
In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemi...In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemic prevention and control work.The paper used Sina Weibo posts related to COVID-19 hashtags as the data source,and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts.Taking Shenzhen as a region of interest,we mined the“epidemic data bulletin”and“daily life impact”posts during the epidemic for spatial analysis.The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of“sparse east and dense west”,and there is a strong positive spatial correlation between the number of confirmed cases and social media response.Specifically,Nanshan District,Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks,and social media has responded more violently,and people’s lives have been greatly affected.However,Yantian District,Pingshan District and Dapeng New District showed opposite characteristics.The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.展开更多
The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the in...The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.展开更多
The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hyp...The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcome the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturbance by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.展开更多
Music situational teaching method aims to mobilize the students’thoughts in a natural state so as to enhance the attractiveness and efficiency of music classes.In the process of this method,some specific situational ...Music situational teaching method aims to mobilize the students’thoughts in a natural state so as to enhance the attractiveness and efficiency of music classes.In the process of this method,some specific situational are designed according to the characteristics of music and under the guidance of psychology,methodology,pedagogy and other theories,and various sensory organs are employed.Different from traditional teaching method,situational teaching method creates learning situational for students,which is consistent with the characteristics of primary school students’physical and mental development and maximizes students’experience and feeling of music.展开更多
Based on the theory of situational simulation,the article explores the approach to building the medical interpretation course from three aspects,which are the objective,design,and teaching model.The course aims to cul...Based on the theory of situational simulation,the article explores the approach to building the medical interpretation course from three aspects,which are the objective,design,and teaching model.The course aims to cultivate high-quality medical interpreting talents and enhance students’practical interpretation skills,as well as to integrate professional ethics into teaching.Thus,it is necessary for lecturers to change their teaching philosophy,apply information technology,and improve teaching design.Through rich medical interpretation course,lecturers can promote the integration of professional ethics in medical interpretation.展开更多
This thesis carefully appreciated situational irony in some of Shakespeare's tragedies successively,and classified situational irony into four kinds:discrepancy between appearance and reality,expectation and fulfi...This thesis carefully appreciated situational irony in some of Shakespeare's tragedies successively,and classified situational irony into four kinds:discrepancy between appearance and reality,expectation and fulfilment,intention and outcome,the actual circumstances and appropriateness.In the analysis of the first kind of situational irony,especially,the thesis focused on Antony and Cleopatra,together with Julius Caesar,questioned the common idea,and stated that Antony's failure was not because of his passion towards Cleopatra.Cleopatra was only his screen to cheat the world,an excuse of his " face-saving failure".展开更多
文摘BACKGROUND Systematic review focuses on the visual patient avatar(VPA)technology,a tool designed to enhance situational awareness in anesthesia by transforming traditional numerical data into intuitive visual displays.AIM To explore how VPA can improve perceptual performance,reduce cognitive load,and increase user acceptance,potentially leading to better patient outcomes.METHODS The review is based on 14 studies conducted between 2018 and 2023 in five different hospitals across Europe.RESULTS These studies demonstrate that VPA allows clinicians to perceive and recall vital signs more efficiently than conventional monitoring methods.The technology’s intuitive design helps reduce cognitive workload,indicating less mental effort required for patient monitoring.Users’feedback on VPA was generally positive,highlighting its potential to enhance monitoring and decision-making in highstress environments.However,some users noted the need for further development,particularly in visualization design and data integration.CONCLUSION Review concludes that VPA technology represents a significant advancement in patient monitoring,promoting better situational awareness and potentially improving safety in perioperative care.
基金funded by the National Natural Science Foundation of China(No.12202049)the Beijing Institute of Technology Research Fund Program for Young Scholars,China.
文摘Tracking multiple space objects using multiple surveillance sensors is a critical approach in many Space Situation Awareness(SSA) applications. In this process, the uncertainties of targets,dynamics, and observations are usually represented by the probability distributions. However, precise characterization of uncertainty becomes challenging due to imperfect knowledge about some key aspects, such as birth targets and sensor detection profiles. To overcome this challenge, this paper proposes a multi-sensor possibility PHD filter based on the theory of outer probability measures. An effective compensation method is introduced to tackle variations in the fields of view of SSA sensors or instances of missed detections, aiming to mitigate the inconsistency in localized information. The proposed method is adapted to centralized and distributed sensor networks, offering effective solutions for multi-sensor multi-target tracking. The major innovation of the proposed method compared with typical methods is the proper description of epistemic uncertainty, which yields more robust performance in the scenarios of lacking some information about the system.The effectiveness of the multi-sensor possibility PHD filter is demonstrated by a comparison with conventional methods in two simulated scenarios.
基金Teacher Teaching and Educational Research Project of Shanghai University of Medicine and Health Sciences in 2024(Project No.:CFDY20240035)。
文摘Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimizing the undergraduate teaching mode of internal medicine and improving teaching quality.Methods:A total of 32 undergraduate students majoring in clinical medicine(Grade 2021)from Shanghai University of Medicine&Health Sciences were selected as the research subjects.They were divided into an experimental group and a control group by random number table method,with 16 students in each group.The control group adopted the traditional PBL teaching method,while the experimental group used the PBL teaching method based on situational simulation videos.After the teaching,the mastery of theoretical knowledge of students in the two groups was evaluated by examinations;a questionnaire survey was conducted to assess students’self-perceived improvement in clinical thinking,learning interest,self-directed learning ability and teamwork ability;statistical methods were used to analyze the data.Results:The scores of theoretical knowledge examination of students in the experimental group were significantly higher than those in the control group,and the difference was statistically significant(p<0.05).In terms of self-evaluation,the experimental group showed better performance than the control group in the cultivation of clinical thinking,learning interest and selfdirected learning ability,with statistically significant differences(p<0.05);however,there was no statistically significant difference in the self-evaluation of teamwork ability between the two groups(p>0.05).Conclusion:The PBL teaching method based on situational simulation videos can effectively improve students’level of theoretical knowledge,enhance their clinical thinking,learning interest and self-directed learning ability in undergraduate teaching of internal medicine,and is worthy of further promotion and application in undergraduate teaching of internal medicine.
文摘BACKGROUND Student standardized patients(SSPs)can serve as valuable tools in teaching acute and severe gastrointestinal tumors.AIM To explore the effect of SSP on scenario simulation teaching and its impact on teaching outcomes.METHODS From July 2021 to June 2024,200 nursing interns were taught about severe gastrointestinal tumor disease.In July 2022 the SSP scenario simulation teaching method was introduced to an observation group of 100 students.A control group of 100 students was taught using traditional methods from July 2021 to June 2022.The traditional teaching included classroom theoretical instruction,laboratory practical teaching,and course assessments.During the practical laboratory sessions,students performed operations using simulation mannequins,and course assessments were based on theoretical test scores combined with practical assessments using the mannequins.The teaching effects of both groups were compared in terms of comprehensive quality and student satisfaction.RESULTS The observation group exhibited significantly higher theoretical and operational scores(P<0.05),a notably livelier classroom atmosphere(P<0.05),and a higher learning satisfaction than the control group(98.00%vs 91.00%)(P<0.05).CONCLUSION SSP combined with scenario simulation teaching enhanced the effectiveness of acute and severe gastrointestinal tumor disease education,improved students’overall quality,and increased their learning satisfaction,making it a valuable approach for wider adoption.
文摘College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philosophies,traditional college English teaching methods no longer meet the learning needs of contemporary students.Situational cognitive learning theory emphasizes learner-centered approaches and highlights the contextual and practical application of knowledge,offering innovative perspectives for reforming college English teaching.When applied effectively,situational cognitive learning theory can optimize teaching methods and significantly improve learning outcomes.This paper explores the connotation and characteristics of situational cognitive learning theory,evaluates its applicability in college English teaching,and discusses its practical implementation in this context.The aim is to provide theoretical and practical references for improving the quality of college English education.
文摘Wireless networks support numerous terminals,manage large data volumes,and provide diverse services,but the vulnerability to environmental changes leads to increased complexity and costs.Situational awareness has been widely applied in network management,but existing methods fail to find optimal solutions due to the high heterogeneity of base stations,numerous metrics,and complex intercell dependencies.To address this gap,this paper proposes a specialized framework for wireless networks,integrating an evaluation model and control approach.The framework expands the indicator set into four key areas,introduces an evaluation method,and proposes the indicator perturbation greedy(IPG)algorithm and the adjustment scheme selection method based on damping coefficient(DCSS)for effective network optimization.A case study in an urban area demonstrates the framework’s ability to balance and improve network performance,enhancing situational awareness and operational efficiency under dynamic conditions.
基金funded by the Science and Technology Project of China Southern Power Grid(YNKJXM20210175)the National Natural Science Foundation of China(52177070).
文摘Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.
文摘Situational Approach has contributed a lot in the language teaching.There are many strengths to justify the use of Situational Approach for hotel English teaching in vocational colleges of China.In this article,firstly,it will discuss some backgroup information of the Situational Approach.Secondly,it will discuss the definition of Situational Approach.Thirdly,it will argue why use the Situational Approach for hotel English teaching in vocational colleges of China.Fourthly,it will point out the disadvantages use the Situational Approach for hotel English teaching in vocational colleges of China.Finally,it will argue that my modified plan for hotel English teaching in vocational colleges of China.
文摘It is significant that the degree or formality is expected in communication. This article will present this kind of data whichenable us to obverse the process of variation at work in the speech of an competent speaker. The data discussed in this paper pre-sented how speakers not only apply‘principles of grammar'in order to produce what they want to say, but also‘rules for speak-ing',which facilitate them to vary their speech to fit the immediate situation.
文摘It is to conduct the teaching exploration for the situational sports model＇s implementation in sports teaching. It is indicated that the implementation of the situational teaching is good to improve the students＇ initiative and interest for study; good for the students＇ participation; good to improve students＇ initiative, sports ability and sports level; good to promote students to have healthy physical and psychological development; good to optimize the teaching process and activate the class atmosphere; and also good to promote students＇ social development factor. It is an ideal teaching concept and teaching model.
基金Supported by the High Technology Research and Development Programme of China （No. 2003AA142160） and the National Natural Science Foundation of China （No. 60605019）.
文摘The existing network security management systems are unable either to provide users with useful security situation and risk assessment, or to aid administrators to make right and timely decisions based on the current state of network. These disadvantages always put the whole network security management at high risk. This paper establishes a simulation environment, captures the alerts as the experimental data and adopts statistical analysis to seek the vulnerabilities of the services provided by the hosts in the network. According to the factors of the network, the paper introduces the two concepts： Situational Meta and Situational Weight to depict the total security situation. A novel hierarchical algorithm based on analytic hierarchy process （AHP） is proposed to analyze the hierarchy of network and confirm the weighting coefficients. The algorithm can be utilized for modeling security situation, and determining its mathematical expression. Coupled with the statistical results, this paper simulates the security situational trends. Finally, the analysis of the simulation results proves the algorithm efficient and applicable, and provides us with an academic foundation for the implementation in the security situation
基金supported by the Natural Science Basic Research Program of Shaanxi(Program No.2022JQ-593)。
文摘In order to improve the performance of UAV's autonomous maneuvering decision-making,this paper proposes a decision-making method based on situational continuity.The algorithm in this paper designs a situation evaluation function with strong guidance,then trains the Long Short-Term Memory(LSTM)under the framework of Deep Q Network(DQN)for air combat maneuvering decision-making.Considering the continuity between adjacent situations,the method takes multiple consecutive situations as one input of the neural network.To reflect the difference between adjacent situations,the method takes the difference of situation evaluation value as the reward of reinforcement learning.In different scenarios,the algorithm proposed in this paper is compared with the algorithm based on the Fully Neural Network(FNN)and the algorithm based on statistical principles respectively.The results show that,compared with the FNN algorithm,the algorithm proposed in this paper is more accurate and forwardlooking.Compared with the algorithm based on the statistical principles,the decision-making of the algorithm proposed in this paper is more efficient and its real-time performance is better.
文摘In recent years,probabilistic tracking methods have been becoming increasingly popular for solving the multi-target tracking problem in Space Situational Awareness(SSA).Bayesian frameworks have been used to describe the objects’of interest states and cardinality as point processes.The inputs of the Bayesian framework filters are a probabilistic description of the scene at hand,the probability of clutter during the observation,the probability of detection of the objects,the probability of object survival and birth rates,and in the state update,the measurement uncertainty and process noise for the propagation.However,in the filter derivation,the assumptions of Poisson distributions of the object prior and the clutter model are made.Extracting the first-order moments of the full Bayesian framework leads to a so-called Probability Hypothesis Density(PHD)filter.The first moment extraction of the PHD filter process is extremely sensitive to both the input parameters and the measurements.The specifics of the SSA problem and its probabilistic description are illustrated in this paper and compared to the assumptions that the PHD filter is based on.As an example,this paper shows the response of a Cardinality only PHD filter(only the number of objects is estimated,not their corresponding states)to different input parameterizations.The very simple Cardinality only PHD filter is chosen in order to clearly show the sole effects of the model mismatch that might be blurred with state estimation effects,such as non-linearity in the dynamical model,in a full PHD filter implementation.The simulated multi-target tracking scenario entails the observation of attitude stable and unstable geostationary objects.
基金Science&Technology Department of Sichuan Province(No.21ZDYF2090)。
文摘In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemic prevention and control work.The paper used Sina Weibo posts related to COVID-19 hashtags as the data source,and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts.Taking Shenzhen as a region of interest,we mined the“epidemic data bulletin”and“daily life impact”posts during the epidemic for spatial analysis.The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of“sparse east and dense west”,and there is a strong positive spatial correlation between the number of confirmed cases and social media response.Specifically,Nanshan District,Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks,and social media has responded more violently,and people’s lives have been greatly affected.However,Yantian District,Pingshan District and Dapeng New District showed opposite characteristics.The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.
基金Supported by the National Natural Science Foundation of China （No. 60605019） and the National High Technology Research and Development Programe of China （No. 2003AA142160）.
文摘The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.
基金This paper is financial aided by the National Natural Science Foundation project in China （No. 70640008）, The National Social Science Foundation project in China （No. 05BJY043） and The Foundation Project of Inner Mongolia education office （No. N J02019）.
文摘The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcome the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturbance by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.
文摘Music situational teaching method aims to mobilize the students’thoughts in a natural state so as to enhance the attractiveness and efficiency of music classes.In the process of this method,some specific situational are designed according to the characteristics of music and under the guidance of psychology,methodology,pedagogy and other theories,and various sensory organs are employed.Different from traditional teaching method,situational teaching method creates learning situational for students,which is consistent with the characteristics of primary school students’physical and mental development and maximizes students’experience and feeling of music.
基金“Research on Foreign Language Ability and Skill Training of Medical SCI Thesis Writing Under the Background of Building First-Class Universities and Disciplines of the World”(Project number:2017JAG156)“Feasibility Exploration and Practice of English Major Students as Standardized Patients for International Students of Clinical Medicine Teaching”(Project number:2019JAG147)“An Exploration on Building Innovative Teaching PTR Model(Practice-Teaching-Research)of Medical Interpreting in Medical Schools Based on Cognitive Interpreting”(Project number:XWK2023008)。
文摘Based on the theory of situational simulation,the article explores the approach to building the medical interpretation course from three aspects,which are the objective,design,and teaching model.The course aims to cultivate high-quality medical interpreting talents and enhance students’practical interpretation skills,as well as to integrate professional ethics into teaching.Thus,it is necessary for lecturers to change their teaching philosophy,apply information technology,and improve teaching design.Through rich medical interpretation course,lecturers can promote the integration of professional ethics in medical interpretation.
文摘This thesis carefully appreciated situational irony in some of Shakespeare's tragedies successively,and classified situational irony into four kinds:discrepancy between appearance and reality,expectation and fulfilment,intention and outcome,the actual circumstances and appropriateness.In the analysis of the first kind of situational irony,especially,the thesis focused on Antony and Cleopatra,together with Julius Caesar,questioned the common idea,and stated that Antony's failure was not because of his passion towards Cleopatra.Cleopatra was only his screen to cheat the world,an excuse of his " face-saving failure".
