A Situational Awareness Method for Initial Insulation Fault of Distribution Network Based on Multi-Feature Index Comprehensive Evaluation

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.

Research on English Language and Literature Teaching Strategies Based on Situational Teaching Method

The teaching of English language and literature not only focuses on developing students’English language proficiency but also emphasizes their understanding and cognition of the cultural connotations behind the English language.This dual focus aims to cultivate students’cross-cultural communication skills and practical English skills.The application of the situational teaching method can create corresponding learning scenarios based on English language knowledge,thereby enriching students’learning experiences and understanding within these scenarios.This method has significant advantages in enhancing the effectiveness of English language and literature teaching.Consequently,this paper first analyzes the significance of applying the situational teaching method in university-level English language and literature instruction.It then proposes several strategies for implementing this method,with the goal of enhancing students’language awareness,cultural literacy,and comprehensive English skills.

Discussion on Cultural Integration and Educational Services for International Students from the Perspective of Situational Communication

From the perspective of situational communication,this paper aims to explore how to promote cultural integration and provide better educational services for international students in China.This paper first analyzes the basic assumptions and key factors of situational communication based on international students in China.Secondly,the relationship between situational communication and cultural integration and educational services for international students in China is discussed in depth.Additionally,the role of situational communication in educational services for international students in China,such as promoting cross-cultural communication,solving language barriers,and enhancing mutual understanding,is proposed.Lastly,from the perspective of situational communication,an optimization path of educational services and cultural integration for international students in China is proposed,including the provision of diversified educational resources,the enhancement of cross-cultural communication,and the establishment of an effective communication mechanism.This study expands the perspective of educational services for international students in China,provides a new theoretical framework and practical path,and offers a reference for promoting cultural integration and improving educational services for international students in China.

Situational Approach for Hotel English Teaching in Vocational Colleges of China

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.

Situational Variation in English

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.

Situational Sports Teaching Model and Its Application

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.

A hierarchical algorithm for cyberspace situational awareness based on analytic hierarchy process

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

Modeling Impacts on Space Situational Awareness PHD Filter Tracking

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.

Data Mining and Spatial Analysis of Social Media Text Based on the BERT-CNN Model to Achieve Situational Awareness: a Case Study of COVID-19

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.

A scalable model for network situational awareness based on Endsley＇ s situation model

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.

Study based on ＂Situational Rationality＂ hypothesis for customer market classification model

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.

A Brief Analysis of the Application of Situational Teaching Method in Primary School Music Class

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.

My Appreciation of Situational Irony in Shakespeare's Tragedies

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".

Situational interest impacts college students’physical activity in a design-based bike exergame

Background:Active videogames or exergames have been used as an innovative way to promote physical activity(PA)among various populations.A player’s interest in active videogames is associated with the fun and entertaining nature of the games and may trigger situational interest,thus increasing engagement.The goal of this study was to examine the impact of situational interest dimensions on college students’PA when playing the design-based bike exergame Greedy Rabbit(Vescape,Berlin,Germany).Methods:Sixty undergraduate students(age:20.8±1.3 years,mean±SD,18-25 years old;51.7%males)were recruited from the kinesiology department of a university located in the southern region of Belgium.The participants were assigned to an experimental group(n=41)or a control group(n=19)based on an incremental cycling test.Students in the experimental group engaged in 1 session of Greedy Rabbit(Vescape)while students in the control group engaged in 1 session of a placebo version of Greedy Rabbit(Vescape).The length of the sessions ranged from 24 min to 31 min.Results:Results for the control group indicated that the players’PA metrics(cadence:F(19,360)=1.43,p=0.11;heart rate:F(19.360)=1.16,p=0.29;oxygen consumption:F(19,360)=0.83,p=0.67)were stable during the exergame.Results for the experimental group demonstrated the effects of time on the players’PA metrics and revealed significant associations between the change in the players’situational interest dimensions and PA metrics(cadence:F(19,800)=26.30,p<0.01;heart rate:F(19,800)=19.77,p<0.01;oxygen consumption:F(19,800)=10.04,p<0.01).Conclusion:An approach using a design-based exergame may be a relevant strategy for promoting levels of PA that yields positive health-related outcomes among college students.

Ensemble Deep Learning Framework for Situational Aspects-Based Annotation and Classification of International Student’s Tweets during COVID-19

As the COVID-19 pandemic swept the globe,social media plat-forms became an essential source of information and communication for many.International students,particularly,turned to Twitter to express their struggles and hardships during this difficult time.To better understand the sentiments and experiences of these international students,we developed the Situational Aspect-Based Annotation and Classification(SABAC)text mining framework.This framework uses a three-layer approach,combining baseline Deep Learning(DL)models with Machine Learning(ML)models as meta-classifiers to accurately predict the sentiments and aspects expressed in tweets from our collected Student-COVID-19 dataset.Using the pro-posed aspect2class annotation algorithm,we labeled bulk unlabeled tweets according to their contained aspect terms.However,we also recognized the challenges of reducing data’s high dimensionality and sparsity to improve performance and annotation on unlabeled datasets.To address this issue,we proposed the Volatile Stopwords Filtering(VSF)technique to reduce sparsity and enhance classifier performance.The resulting Student-COVID Twitter dataset achieved a sophisticated accuracy of 93.21%when using the random forest as a meta-classifier.Through testing on three benchmark datasets,we found that the SABAC ensemble framework performed exceptionally well.Our findings showed that international students during the pandemic faced various issues,including stress,uncertainty,health concerns,financial stress,and difficulties with online classes and returning to school.By analyzing and summarizing these annotated tweets,decision-makers can better understand and address the real-time problems international students face during the ongoing pandemic.

Situational continuity-based air combat autonomous maneuvering decision-making

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.

Jamming Monitoring Technology of the Space Situational Awareness Facilities:A Comprehensive Survey

Complicated electromagnetic environments of the space situational awareness facilities(i.e.,satellite navigation systems,radar)would significantly impact normal operations.Effective monitoring and the corresponding diagnosis of the jamming signals are essential to normal opera-tions and the innovations in anti-jamming equipment.This paper demonstrates a comprehensive survey on jamming monitoring algorithms and applications.The methods in dealing with jamming signals are summarized primarily.Subsequently,the jamming detection,identification,and direc-tion finding techniques are addressed separately.Based on the established studies,we also provide some potential trends of the demonstrated jamming monitoring issues.

Necessary Conditions and Situational Variables of Payments for Ecosystem Services

Clarifying the necessary conditions for the emergence of payments for ecosystem services (PES) and the situational variables that affect PES is the basis for their interpretation, prediction, and selection. This article proposes an analytical framework for the emergence of PES and argues that the key to determining whether PES can occur and whether a selected PES program is appropriate is to evaluate the net gain. When payers anticipate that a PES program will provide a satisfactory number of ES and a net gain over the opportunity cost and will cover all costs, it is assumed that the program will be implemented. When it is difficult to accurately evaluate the net gain of PES, the situational variables that affect the costs and benefits need to be examined. The group characteristics, ES characteristics, spatial and temporal contacts between the suppliers and demanders, correlation with private goods and additionality are important situational variables that affect the emergence and choice of PES.

Personal, Situational and Socio-Cultural Factors as Correlates of Intimate Partner Abuse in Nigeria

This study established the relationships between personal, situational and socio-cultural factors and intimate partner abuse among couples in Nigeria. A multiple regression statistical procedure was employed in analyzing the data collected from 200 participants randomly selected from five ministries in Ibadan, Oyo state, Nigeria. Results obtained indicated that the three variables when combined effectively predicted intimate partner abuse (F-ratio of 5.756 significant at 0.05 alpha level). Taken separately, situational and socio-cultural factors contributed significantly to the prediction (t = 2.146, p t = 2.284, p (t = 1.705, p > 0.05). On the basis of these findings it was suggested that counselling psychologists should design intervention strategies to promote life-skills training in schools and out-of-schools settings. These include age-appropriate content on sexuality, conflict resolution, building healthy relationships and personal safety. Also, it was suggested that couples should be informed on the long-term health and social consequences of physical and sexual abuse.

Situational Diagnosis of the Social Sphere of Elders Living in Retirement Homes

A situational diagnosis of the social sphere of elder permanent residents at retirement homes in Chihuahua City was created with the aid of the Social Resource Scale instrument. From the 51 participants, there were 30 female and 21 male elders. The results and conclusions of the present study highlight two major needs: a systematic assessment of permanent residents in retirement homes and the implementation of a physical activation program. The proposed physical activation program must focus on both, the recovery of motor independence and the increase of socialization activities which allows members of the retired community to improve their daily routine performance and lessens the work load on their caretakers.