428 results on '"situation assessment"'
Search Results
2. A self-supervised feature fusion approach to situation assessment.
- Author
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Li, Xin, Wang, Jia, Sun, Lixu, and Li, Wei
- Subjects
- *
TRANSFORMER models , *SITUATIONAL awareness , *TRAFFIC monitoring , *INTERNET , *AMBIGUITY , *FUZZY clustering technique - Abstract
A number of devices in Industrial Internet are various types in recent years. The monitored traffic data from different devices always unlabeled and contain various types of attack traffic. In other words, misjudgments occurring by the ambiguity with these various unlabeled traffic in situation assessment of Industrial Internet need to solve urgently for above complex network scenario. In this paper, a new self-supervised situation assessment method FCVnet (FCM-CNN-ViT Net) is proposed to reduce the misjudgement probability. An enhanced fuzzy c-means clustering method EFCM (Enhanced Fuzzy C-means Clustering), is designed for the unlabelled traffic data. Meanwhile the self-supervised pre-training is carried out by improving initial cluster centre selection to obtain more accurate labels. In order to capture more global features for better feature representation, MCFV (Multi-Convolutional Fusion and Vision Transformer) module combining Multi-Convolutional Neural Network and Vision Transformer (ViT) is designed to capture and fuse features from local details to broader context. Experimental results show that the precision and recall of the proposed FCVnet are improved by 7.51% and 15.16% on average with two data sets. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. 基于改进能量谷优化的多无人机空战目标分配.
- Author
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张嘉辉, 蒙志君, 何家政, 王子琛, and 林尤深
- Subjects
OPTIMIZATION algorithms ,PARTICLE decays ,PROBLEM solving ,ALGORITHMS - Abstract
Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
- Full Text
- View/download PDF
4. Inference-Based Information Relevance Reasoning Method in Situation Assessment.
- Author
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Lu, Shan and Kokar, Mieczyslaw
- Subjects
- *
INFORMATION sharing , *INTERNET security , *DECISION making , *COMPUTERS - Abstract
The growing volume of information available to decision-makers makes it increasingly challenging to process all data during decision-making. As a result, a method for selecting only relevant information is highly desirable. Moreover, since the meaning of information depends on its context, the decision-making process requires mechanisms to identify the context of specific scenarios. In this paper, we propose a conceptual framework that utilizes Situation Theory to formalize the concept of context and analyze information relevance. Building on this framework, we introduce an inference-based reasoning process that automatically identifies the information necessary to characterize a given situation. We evaluate our approach in a cybersecurity scenario where computer agents respond to queries by utilizing available information and sharing relevant facts with other agents. The results show that our method significantly reduces the time required to infer answers to situation-specific queries. Additionally, we demonstrate that using only relevant information provides the same answers as using the entire knowledge base. Finally, we show that the method can be applied to a limited set of training queries, allowing the reuse of relevant facts to address new queries effectively. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
5. 基于差分窗口生成式对抗网络的空战态势评估.
- Author
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方 伟, 张婷婷, 谭凯文, and 汤 淼
- Subjects
GENERATIVE adversarial networks ,SUPERVISED learning ,AIRCRAFT carriers ,MODEL airplanes ,ACQUISITION of data - Abstract
Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
- Full Text
- View/download PDF
6. Deep Reinforcement Learning-Based Decision Making for Six Degree of Freedom UCAV Close Range Air Combat
- Author
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Zhou, Pan, Li, Ni, Huang, Jiangtao, Zhang, Sheng, Zhou, Xiaoyu, Liu, Gang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, and Fu, Song, editor
- Published
- 2024
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7. Battlefield Intention Recognition Based on Multivariate Time Series Representation and Few-Shot Learning
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Liao, Mingli, Wu, Hanbao, Li, Lun, Liu, Hao, Zhang, Shanqiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, and Chinese Institute of Command and Control, editor
- Published
- 2024
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8. One-on-one air combat control method based on situation assessment and DDPG algorithm
- Author
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HE Baoji, BAI Linting, and WEN Pengcheng
- Subjects
reinforcement learning ,situation assessment ,deep deterministic policy gradient ,air combat ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
The existing aerial combat control methods do not comprehensively consider the situation assessment based on expert knowledge and the control of aerial combat through continuous speed change. Based on the deep deterministic policy gradient(DDPG) reinforcement learning algorithm, a comprehensive reinforcement learning environment is designed that considers flight altitude limits, flight overload and flight speed limits, which is building upon the situation evaluation function as the reward function for reinforcement learning. The interaction between the DDPG algorithm and learning environment is achieved through the fully connected carrier speed control network and the environment reward network. The end condition for air combat is designed based on abnormal height and speed, missile lock time and combat time. By simulating one-on-one air combat, the effectiveness of this combat control method is validated in terms of learning under environmental constraints, situation evaluation scores and combat mode learning. The results show that the air combat control method is effective, and can provide guidance for the further development of autonomous air combat.
- Published
- 2024
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9. Situation Assessment of Air Traffic Based on Complex Network Theory and Ensemble Learning.
- Author
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Liu, Fei, Li, Jiawei, Wen, Xiangxi, Wang, Yu, Tong, Rongjia, Liu, Shubin, and Chen, Daxiong
- Subjects
AIR traffic ,COMMERCIAL aeronautics ,COMPUTER network traffic ,AERONAUTICAL safety measures - Abstract
With the rapid development of the air transportation industry, the air traffic situation is becoming more and more complicated. Determining the situation of air traffic is of great significance to ensure the safety and smoothness of air traffic. The strong subjectivity of assessment criteria, inaccurate assessment results and weak systemic assessment method are the main problems in air traffic situation assessment research. The aim of our research is to present an objective and accurate situation assessment method for air traffic systems. The paper presents a model to assess air traffic situation based on the complex network theory and ensemble learning. The air traffic weighted network model was introduced to systematically describe the real state of an air traffic system. Assessment criteria based on the complex network analysis method can systematically reflect the operational state of an air traffic weighted network system. We transformed the air traffic situation assessment into a binary classification, which makes situation assessment objective and accurate. Ensemble learning was introduced to improve the classification accuracy, which further improves the accuracy of the situation assessment model. The model was trained and tested on the dataset of the East China air traffic weighted network in 2019. Its average classification accuracy is 0.98. The recall and precision rates both exceed 0.95. Experiments have confirmed that the situation assessment model can accurately output air traffic situation value and situation level. Furthermore, the assessment results are consistent with the real operational situation of the air traffic in East China. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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- View/download PDF
10. Research on Business Data Protection Strategy Based on SVM Algorithm
- Author
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Xiao, Yineng, Tsihrintzis, George A., Series Editor, Virvou, Maria, Series Editor, Jain, Lakhmi C., Series Editor, Gupta, Rangan, editor, Bartolucci, Francesco, editor, Katsikis, Vasilios N., editor, and Patnaik, Srikanta, editor
- Published
- 2023
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- View/download PDF
11. Scanning the Environment
- Author
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Gilinsky, Armand and Gilinsky, Armand
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- 2023
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12. Research on Multi-aircraft Cooperative Combat Based on Deep Reinforcement Learning
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Zhu, Longtao, Wang, Jinlin, Wang, Yi, Ji, Yulong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor
- Published
- 2023
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- View/download PDF
13. Research on Formation-Based Time-Series Dynamic Threat Assessment Method
- Author
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Zheng, Lihui, Lu, Yi, Zhang, Jiandong, Han, Chaoyi, Yang, Qiming, Zhou, Zihao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor
- Published
- 2023
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14. Method of Learning Dynamic Bayesian Network Parameter Based on DEQPK Algorithm
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Li, Weinan, Shi, Jingping, Zhang, Weiguo, Wu, Yunyan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Deng, Yimin, editor
- Published
- 2023
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15. A cloud Bayesian network approach to situation assessment of scouting underwater targets with fixed‐wing patrol aircraft
- Author
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Yongqin Sun, Peibei Ma, Jinjin Dai, and Dongxin Li
- Subjects
certainty degree ,cloudy bayesian network(CBN) ,conditional probability table(CPT) ,fixed‐wing patrol aircraft ,scouting underwater targets ,situation assessment ,Computational linguistics. Natural language processing ,P98-98.5 ,Computer software ,QA76.75-76.765 - Abstract
Abstract The battlefield situation changes rapidly because underwater targets' are concealment and the sea environment is uncertain. So, a great number of situation information greatly increase, which need to be dealt with in the course of scouting underwater targets. Situation assessment in sea battlefield with a lot of uncertain information is studied, and a new situation assessment method of scouting underwater targets with fixed‐wing patrol aircraft is proposed based on the cloud Bayesian network, which overcomes the deficiency of the single cloud model in reasoning ability and the defect of Bayesian network in knowledge representation. Moreover, in the method, the cloud model knowledge deal with the input data of Bayesian network reasoning, and the advantages in knowledge representation of cloud theory and reasoning of Bayesian network are applied; also, the fuzziness and stochasticity of cloud theory in knowledge expression, the reasoning ability of Bayesian network, are combined. Then, the situation assessment model of scouting underwater targets with fixed‐wing patrol aircraft is established. Hence, the directed acyclic graph of Bayesian network structure is constructed and the assessment index is determined. Next, the cloud model is used to deal with Bayesian network, and the discrete Bayesian network is obtained. Moreover, after CPT of each node and the transformation between certainty degree and probability are accomplished; the final situation level is obtained through a probability synthesis formula. Therefore, the target type and the operational intention of the other side are deduced to form the battlefield situation. Finally, simulations are carried out, and the rationality and validity of the proposed method are testified by simulation results. By this method, the battlefield situation can be gained. And this method has a wider application range, especially for large sample data processing, and it has better practicability.
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- 2023
- Full Text
- View/download PDF
16. 基于态势演化博弈的无人机集群动态攻防.
- Author
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盛 磊, 时满红, 亓迎川, 李 浩, and 庞明军
- Subjects
DRONE aircraft ,SOCIAL forces ,PROBLEM solving ,DECISION making - Abstract
Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
17. Unmanned Aerial Vehicle Situation Assessment Based on Cumulative Prospect Theory and Three-Way Decision
- Author
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LI Weiwei, GAO Peixue, CHEN Jin, LU Yuqing
- Subjects
uninhabited aerial vehicle (uav) ,three-way decision ,cumulative prospect theory ,situation assessment ,intuitionistic ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Chemical engineering ,TP155-156 ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 - Abstract
General uninhabited aerial vehicle (UAV) situation assessment methods do not consider the influence of complex external environment on the decision-maker, and usually only get the ranking results of the evaluation. Since the decision-maker needs to make decisions in a short period of time, misjudgments or missing strike windows often occur. To address this problem, a three-way decision model based on the cumulative prospect theory is proposed. First, the method the utilizes intuitionistic fuzzy technique for order preference by similarity to an ideal solution to estimate the conditional probability of each target and obtains the situation assessment result. Next, the method calculates the intuitionistic fuzzy situation information obtained by the UAV based on the cumulative prospect theory, and obtains the corresponding cumulative prospect value when each target performs different actions. Finally, based on the principle of maximizing the cumulative prospect value, a new three-way decision rule is derived to divide the situational assessment results into three regions. The experimental analysis shows that the method not only obtains the target threat ranking, but also classifies the target threat level objectively. At the same time, it considers the psychology of the decision-maker in the assessment process, and obtains the target threat assessment results that meet the traits of the decision-maker, providing a reasonable decision support for the complex and changing air combat.
- Published
- 2022
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18. Cue utilization and pool lifeguarding.
- Author
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Wiggins, Mark W., Lim, David, Porte, Meredith, and Bayl-Smith, Piers
- Subjects
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LIFEGUARDS , *SWIMMING pools , *DROWNING - Abstract
• Identifying drowning swimmers requires the interpretation of critical cues. • Lifeguarding experience is associated with cue utilization in pool lifeguarding. • Cue utilization is associated with the detection of simulated drowning swimmers. Introduction: Amongst pool lifeguards, the capacity to identify drowning swimmers quickly and accurately depends on the interpretation of critical cues. However, assessing the capacity for cue utilization amongst lifeguards at present is costly, time-consuming, and largely subjective. The aim of this study was to test the relationship between cue utilization and the detection of drowning swimmers in a series of virtual public swimming pool scenarios. Method: Eighty-seven participants with or without lifeguarding experience engaged in three virtual scenarios, two of which were target scenarios where drowning events occurred within a 13 minute or 23 minute period of watch. Cue utilization was assessed using the pool lifeguarding edition of the EXPERTise 2.0 software following which 23 participants were classified with higher cue utilization, while the remaining participants were classified with lower cue utilization. Results: The results revealed that participants with higher cue utilization were more likely to have acquired experience as a lifeguard, were more likely to detect the drowning swimmer within a three minute period, and, in the case of the 13 minute scenario, recorded a greater dwell time on the drowning victim prior to the drowning event. Conclusion: The results suggest that cue utilization is associated with drowning detection performance in a simulated environment and could be employed as a basis for assessments of performance amongst lifeguards in the future. Practical Implications: Measures of cue utilization are associated with the timely detection of drowning victims in virtual pool lifeguarding scenarios. Employers and trainers of lifeguards can potentially augment existing lifeguarding assessment programs to quickly and cost-effectively identify the capabilities of lifeguards. This is especially useful for new lifeguards or where pool lifeguarding is a seasonal activity that might be associated with skill decay. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
19. A cloud Bayesian network approach to situation assessment of scouting underwater targets with fixed‐wing patrol aircraft.
- Author
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Sun, Yongqin, Ma, Peibei, Dai, Jinjin, and Li, Dongxin
- Abstract
The battlefield situation changes rapidly because underwater targets' are concealment and the sea environment is uncertain. So, a great number of situation information greatly increase, which need to be dealt with in the course of scouting underwater targets. Situation assessment in sea battlefield with a lot of uncertain information is studied, and a new situation assessment method of scouting underwater targets with fixed‐wing patrol aircraft is proposed based on the cloud Bayesian network, which overcomes the deficiency of the single cloud model in reasoning ability and the defect of Bayesian network in knowledge representation. Moreover, in the method, the cloud model knowledge deal with the input data of Bayesian network reasoning, and the advantages in knowledge representation of cloud theory and reasoning of Bayesian network are applied; also, the fuzziness and stochasticity of cloud theory in knowledge expression, the reasoning ability of Bayesian network, are combined. Then, the situation assessment model of scouting underwater targets with fixed‐wing patrol aircraft is established. Hence, the directed acyclic graph of Bayesian network structure is constructed and the assessment index is determined. Next, the cloud model is used to deal with Bayesian network, and the discrete Bayesian network is obtained. Moreover, after CPT of each node and the transformation between certainty degree and probability are accomplished; the final situation level is obtained through a probability synthesis formula. Therefore, the target type and the operational intention of the other side are deduced to form the battlefield situation. Finally, simulations are carried out, and the rationality and validity of the proposed method are testified by simulation results. By this method, the battlefield situation can be gained. And this method has a wider application range, especially for large sample data processing, and it has better practicability. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
20. Research on Network Security Situation Assessment Model Based on Double AHP
- Author
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Wang, Wei, Chen, Xuqiu, Gan, Wei, Yang, Yi, Zhang, Wenxue, Zhang, Xiantao, Wu, Fan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, Xia, Zhihua, editor, and Bertino, Elisa, editor
- Published
- 2022
- Full Text
- View/download PDF
21. MAV-UAV Collaborative Situation Assessment Based on Dynamic Intuitionistic Fuzzy Cognitive Maps
- Author
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Xiong, Hongyi, Li, Shang, Lei, Teng, Chen, Jun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wu, Meiping, editor, Niu, Yifeng, editor, Gu, Mancang, editor, and Cheng, Jin, editor
- Published
- 2022
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22. Maneuver Strategy Generation of Multi-UCAV for Air Combat Based on Fuzzy Theory
- Author
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Zhang, Xiaoyan, Huang, Hanqiao, Zhang, Di, Yang, Junyan, Xu, Xinpeng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wu, Meiping, editor, Niu, Yifeng, editor, Gu, Mancang, editor, and Cheng, Jin, editor
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- 2022
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23. International Checkers Evaluation Algorithm Based on Evolutionary Neural Network
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Pan, Zhenghao, Li, ShuQin, Gao, Shijing, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Kountchev, Roumen, editor, Hu, Bin, editor, and Kountcheva, Roumiana, editor
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- 2022
- Full Text
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24. Research on Decision–Making Method of Air Combat Embedded Training Based on Extended Influence Diagram
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Liu, Yipeng, Gao, Xin, Shi, Jinxu, Deng, Lin, Chen, Linjie, Wu, Jiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Yu, Xiang, editor
- Published
- 2022
- Full Text
- View/download PDF
25. Research on Distributed Target Allocation in Multi-UAV Beyond Visual Range Cooperative Air Combat
- Author
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Li, Weihua, Guo, Lizhi, Shi, Jingping, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Yu, Xiang, editor
- Published
- 2022
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26. 基于粒子群优化的多导弹动态武器目标分配算法.
- Author
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刘 攀, 徐胜利, 张 迪, and 甄子洋
- Subjects
- *
PARTICLE swarm optimization , *AIR defenses , *MATHEMATICAL optimization , *MATHEMATICAL models , *PROBLEM solving - Abstract
In view of the complex and changeable future battlefield environment, the air defense system needs to realize the assignment of weapons to multiple targets. Because the traditional static weapon target assignment (SWTA) model is restricted by many factors, it cannot adapt to the rapid changes in the battlefield situation. In order to solve the problem of multi-missile dynamic weapon target assignment (DWTA), the air defense process is discretized into multiple stages, and a mathematical model of DWTA is constructed based on the real-time situation data of the battlefield, and an improved particle swarm optimization algorithm is proposed. Constraints such as the time window for the weapon to fire are considered, and multiple indicators such as interception probability and missile cost are considered in the algorithm. Finally, through a large number of simulation experiments, the rationality and effectiveness of particle swarm algorithm for multi-missile target assignment are verified. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
27. A Collaborative Monitoring Method for Traffic Situations under Urban Road Emergencies.
- Author
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Xiang, Min and An, Yulin
- Subjects
TRAFFIC monitoring ,SITUATIONAL awareness ,GAME theory ,CITY traffic ,ROADS - Abstract
The complex and diverse urban road traffic environments make it difficult to accurately assess road traffic situations. This paper proposes a collaborative monitoring method for urban road traffic situational assessment during emergency events. This method is applied to a monitoring network mapped by road geographic relations. When an emergency event is captured by a monitoring node in the network, road traffic situational awareness is completed by an activation function. Then, the Incidence matrix of the emergency event is constructed based on the node degree of this monitoring node. The collaborative node set and collaborative monitoring area are formed dynamically from this Incidence matrix. Finally, the AHP and EM combination weight calculation method based on Game Theory (GT-AHP-EM) is used to fuse the data of various information in the collaborative monitoring area to predict the current road traffic trend. The experiments show that the collaborative monitoring method can effectively assess road traffic conditions and enhance the accuracy of road traffic trend prediction. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
28. Navigation Situation Assessment of Autonomous Surface Vehicles in a Cooperative Hunting Environment
- Author
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Zhang Wenjun, Wang Fuqiang, Gao Qiqiang, and Qu Xingru
- Subjects
autonomous surface vehicles ,navigation situation ,situation assessment ,cooperative hunting ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 - Abstract
This paper proposes a navigation situation assessment method for autonomous surface vehicles (ASVs) in a cooperative hunting environment. By virtue of the repulsion function expressed in the artificial potential field, the navigation situation of hunting ASVs and target ASVs is firstly described. And the hunting situation is also constructed to describe the cooperative hunting. Based on the navigation situation and the hunting situation, a navigation situation assessment method for cooperative hunting of multiple ASVs is designed, where the number of hunting vehicles and the hunting radius can be successfully computed. Simulation results show that this proposed situation assessment method can give an optimised formation pattern and provide an effective reference for cooperative hunting of ASVs.
- Published
- 2022
- Full Text
- View/download PDF
29. A risk evaluation method for human-machine interaction in emergencies based on multiple mental models-driven situation assessment.
- Author
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Guo, Jianbin, Ma, Shuo, Zeng, Shengkui, Che, Haiyang, and Pan, Xing
- Subjects
- *
TIME pressure , *ADAPTIVE control systems , *RISK assessment , *EVALUATION methodology , *ALGORITHMS - Abstract
In the process of human-machine interaction (HMI) under abnormal situations, situation assessment (SAS) is a critical component as incorrect SAS can feed into inappropriate actions and cause severe accidents. Therefore, it is essential to model SAS for HMI risk evaluation. During emergency situations, SAS is predominantly affected by time pressure. However, current researches focus on deliberative SAS with sufficient time and have limitations in quantifying the time pressure effect on SAS during emergencies. This paper proposes a risk evaluation method for HMI in emergencies by quantitatively modeling the time pressure effect on SAS under the recognition-primed decision (RPD) model framework. Firstly, SAS process is characterized as identifying the first plausible cause of an abnormal phenomenon driven by multiple Bayesian network-based mental models, and a simulation algorithm for SAS process is proposed to evaluate HMI risk. Secondly, two effects of time pressure on SAS activities, i.e., filtration effect on information perception and impair effect on knowledge retrieval, are quantified based on the Saliency-Effort-Expectancy-Value (SEEV) model and the Adaptive Control of Thought-Rational (ACT-R) theory. Finally, this method is applied to a Boeing 737-31S accident with high time pressure and results demonstrate the effectiveness of the method. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
30. Situation Assessment of Air Traffic Based on Complex Network Theory and Ensemble Learning
- Author
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Fei Liu, Jiawei Li, Xiangxi Wen, Yu Wang, Rongjia Tong, Shubin Liu, and Daxiong Chen
- Subjects
air traffic network ,situation assessment ,complex network ,ensemble learning ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
With the rapid development of the air transportation industry, the air traffic situation is becoming more and more complicated. Determining the situation of air traffic is of great significance to ensure the safety and smoothness of air traffic. The strong subjectivity of assessment criteria, inaccurate assessment results and weak systemic assessment method are the main problems in air traffic situation assessment research. The aim of our research is to present an objective and accurate situation assessment method for air traffic systems. The paper presents a model to assess air traffic situation based on the complex network theory and ensemble learning. The air traffic weighted network model was introduced to systematically describe the real state of an air traffic system. Assessment criteria based on the complex network analysis method can systematically reflect the operational state of an air traffic weighted network system. We transformed the air traffic situation assessment into a binary classification, which makes situation assessment objective and accurate. Ensemble learning was introduced to improve the classification accuracy, which further improves the accuracy of the situation assessment model. The model was trained and tested on the dataset of the East China air traffic weighted network in 2019. Its average classification accuracy is 0.98. The recall and precision rates both exceed 0.95. Experiments have confirmed that the situation assessment model can accurately output air traffic situation value and situation level. Furthermore, the assessment results are consistent with the real operational situation of the air traffic in East China.
- Published
- 2023
- Full Text
- View/download PDF
31. The Situation Assessment of UAVs Based on an Improved Whale Optimization Bayesian Network Parameter-Learning Algorithm
- Author
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Weinan Li, Weiguo Zhang, Baoning Liu, and Yicong Guo
- Subjects
situation assessment ,Bayesian network ,parameter learning ,constraints ,whale optimization algorithm ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
To realize unmanned aerial vehicle (UAV) situation assessment, a Bayesian network (BN) for situation assessment is established. Aimed at the problem that the parameters of the BN are difficult to obtain, an improved whale optimization algorithm based on prior parameter intervals (IWOA-PPI) for parameter learning is proposed. Firstly, according to the dependencies between the situation and its related factors, the structure of the BN is established. Secondly, in order to fully mine the prior knowledge of parameters, the parameter constraints are transformed into parameter prior intervals using Monte Carlo sampling and interval transformation formulas. Thirdly, a variable encircling factor and a nonlinear convergence factor are proposed. The former and the latter enhance the local and global search capabilities of the whale optimization algorithm (WOA), respectively. Finally, a simulated annealing strategy incorporating Levy flight is introduced to enable the WOA to jump out of the local optimum. In the experiment for the standard BNs, five parameter-learning algorithms are applied, and the results prove that the IWOA-PPI is not only effective but also the most accurate. In the experiment for the situation BN, the situations of the assumed mission scenario are evaluated, and the results show that the situation assessment method proposed in this article is correct and feasible.
- Published
- 2023
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32. 网络安全态势感知综述.
- Author
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杨宇 and 谷宇恒
- Abstract
Network security concerns national security and social stability. As an efficient and intelligent protection system for network security in the new era, network security situation awareness is increasingly receiving great attention and extensive research from foreign and domestic scholars. From the development history and related concepts of situation awareness, existing studies on network security situation awareness are sorted out and compared. Meanwhile, according to a framework of network security situation awareness based on data fusion, the advantages and disadvantages of main technologies are analyzed and summarized from the three perspectives of extraction, assessment and prediction of network security situation. On this basis, the direction of its development in the future is analyzed and prospected. [ABSTRACT FROM AUTHOR]
- Published
- 2022
33. 基于累积前景理论和三支决策的无人机态势评估.
- Author
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李伟湋, 高培雪, 陈进, and 路玉卿
- Abstract
Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
34. Architecting Information Acquisition to Satisfy Competing Goals
- Author
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Hintz, Kenneth J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lawless, William F., editor, Llinas, James, editor, Sofge, Donald A., editor, and Mittu, Ranjeev, editor
- Published
- 2021
- Full Text
- View/download PDF
35. Research Progress and Future Trend Analysis of Network Security Situational Awareness
- Author
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Zhang, Junwei, Feng, Huamin, Liu, Biao, Ge, Ge, Liu, Jing, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Xiong, Jinbo, editor, Wu, Shaoen, editor, Peng, Changgen, editor, and Tian, Youliang, editor
- Published
- 2021
- Full Text
- View/download PDF
36. Safety Situation Assessment of Underwater Nodes Based on BP Neural Network
- Author
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Huang, Haijie, Liang, Kun, Huang, Xiangdang, Yang, Qiuling, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, MacIntyre, John, editor, Zhao, Jinghua, editor, and Ma, Xiaomeng, editor
- Published
- 2021
- Full Text
- View/download PDF
37. ‘Secrecy, Trust, Safety’: a Multi-stakeholder Situation Assessment of Gendered and Contextual Vulnerabilities and Service Level Responsiveness to the Needs of Women Who Use Drugs in Egypt
- Author
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Van Hout, Marie-Claire, Elsayed, Heba, Elgamil, Raghda, Rabie, Menan A., Aly, Reham, and Sonnan, Mohammad Tariq
- Published
- 2023
- Full Text
- View/download PDF
38. 基于直觉模糊贝叶斯网络的高速铁路 突发事故态势估计.
- Author
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赵涛, 左静, and 尚梦星
- Abstract
In order to improve the ability of the emergency department of high-speed railway to make emergency decisions in response to sudden accidents, an intuitionistic fuzzy Bayesian network (IFBN) was established to assess the situation of sudden accidents and provide a basis for emergency decision-making. Firstly, the inducement, accident classification and emergency decision-making characteristics and process of high-speed railway emergency were analyzed. Secondly, the intuitionistic fuzzy number was used to represent the evidence information of Bayesian network nodes, and a situation assessment method based on IFBN was given. Finally, taking the sudden fire accident of electric multiple units(EMU) in viaduct as an example, Bayesian network(BN) and IFBN were used to reason. Through the comparison of several groups of reasoning, the results show that when the information hesitation is large, BN reasoning will produce the opposite conclusion to the actual situation, but IFBN overcomes this shortcoming, and the reasoning result is still accurate, so it can be seen that the situation assessment using IFBN reasoning model is more accurate and reliable than the classical Bayesian method. [ABSTRACT FROM AUTHOR]
- Published
- 2022
39. Der Handlungskomplex Entscheiden am Beispiel der „Unterstützten Entscheidungs-findung" in der rechtlichen Betreuung.
- Author
-
Pick, Ina
- Subjects
DECISION making ,CONVERSATION - Abstract
Copyright of Zeitschrift für Angewandte Linguistik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
40. The four-phase team adaptation process: a first empirical investigation
- Author
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Georganta, Eleni, Kugler, Katharina G., Reif, Julia A.M., and Brodbeck, Felix C.
- Published
- 2021
- Full Text
- View/download PDF
41. Research on situation assessment of active distribution networks considering cyberattacks
- Author
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Jun’e Li, Jiaqi Liang, Quanying Liu, Donglian Qi, Jianliang Zhang, and Yangrong Chen
- Subjects
integrated energy systems ,active distribution network ,situation assessment ,cyberattack ,index system ,assessment method ,General Works - Abstract
With the rapid development of integrated energy system, the large-scale and high-permeability access of distributed generations (DGs) is making the distribution networks develop into active distribution networks (ADNs). The increased complexity of ADNs also increases the vulnerabilities for cyberattacks. It is a new challenge how to evaluate the situation of an ADN so as to support the decision-making of grid control policies in the condition of cyberattacks probably occur. Hence, in this paper, we proposed a method of situation assessment for ADNs considering cyberattacks. This method is aggregated by two parts. 1) An index system is presented, which includes the indexes of DGs stability, the indexes of security risk considering cyberattacks along with the traditional safety indexes. 2) The entropy weight method is used to assign weights to each index, and taking the normal operation status of ADNs as the reference scenario, an operating situation assessment method for ADNs is proposed based on grey correlation analysis method. Finally, in order to verify the effectiveness of the proposed index system and assessment method, 12 attack scenarios are established from three categories: attacks on DGs, attacks on controllable loads and attacks on both of them, and the situation of the ADN, a case based on IEEE 33-node standard distribution system, is evaluated under each scenario.
- Published
- 2022
- Full Text
- View/download PDF
42. Research on network security situation assessment and situation prediction modeling based on DBN
- Author
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Xiong Zhonghao, Zhang Wei, and Yang Guoyu
- Subjects
network security ,situation assessment ,situation prediction ,deep belief network ,modeling and simulation ,Electronics ,TK7800-8360 - Abstract
With the rapid development and rapid development of computer communication network technology, network attacks and destruction emerge in various forms and emerge in endlessly. Situation awareness system provides a comprehensive guarantee for network security. Improving the stability, accuracy and rapidity of situation assessment and situation prediction modeling is an important direction of situation awareness system research. As a deep learning intelligent algorithm, deep belief network brings new direction to the accuracy and theorization of network security situation assessment and situation prediction. Considering the deep belief network algorithm, the restricted Boltzmann machine is used as the basic network, and layer by layer pre-training and fine tuning are the core parts of the network. The generalized network security situation assessment index system is constructed, and the data-driven model of situation assessment and situation prediction of computer communication network security is established. Experimental simulation is carried out through the intrusion detection data set CIC-IDS2017 to verify the accuracy and effectiveness of the model.
- Published
- 2021
- Full Text
- View/download PDF
43. Situation Assessment with Random Bayesian Network Forest
- Author
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Zhang, Xiushe, Guan, Ming, Hu, Xiaoquan, Han, Chunlei, Wu, Jianshe, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Park, James J., editor, Yang, Laurence T., editor, Jeong, Young-Sik, editor, and Hao, Fei, editor
- Published
- 2020
- Full Text
- View/download PDF
44. An Expanded Framework for Situation Control.
- Author
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Llinas, James and Malhotra, Raj
- Subjects
ARTIFICIAL intelligence ,MACHINE learning ,MULTISENSOR data fusion ,DRIVERLESS cars ,STOCHASTIC processes - Abstract
There is an extensive body of literature on the topic of estimating situational states, in applications ranging from cyber-defense to military operations to traffic situations and autonomous cars. In the military/defense/intelligence literature, situation assessment seems to be the sine qua non for any research on surveillance and reconnaissance, command and control, and intelligence analysis. Virtually all of this work focuses on assessing the situation-at-the-moment; many if not most of the estimation techniques are based on Data and Information Fusion (DIF) approaches, with some recent schemes employing Artificial Intelligence (AI) and Machine Learning (ML) methods. But estimating and recognizing situational conditions is most often couched in a decisionmaking, action-taking context, implying that actions may be needed so that certain goal situations will be reached as a result of such actions, or at least that progress toward such goal states will be made. This context thus frames the estimation of situational states in the larger context of a control-loop, with a need to understand the temporal evolution of situational states, not just a snapshot at a given time. Estimating situational dynamics requires the important functions of situation recognition, situation prediction, and situation understanding that are also central to such an integrated estimation C action-taking architecture. The varied processes for all of these combined capabilities lie in a closed-loop "situation control" framework, where the core operations of a stochastic control process involve situation recognition--learning--prediction--situation "error" assessment--and action taking to move the situation to a goal state. We propose several additional functionalities for this closed-loop control process in relation to some prior work on this topic, to include remarks on the integration of control-theoretic principles. Expanded remarks are also made on the state of the art of the schemas and computational technologies for situation recognition, prediction and understanding, as well as the roles for human intelligence in this larger framework. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
45. Network Security Situation Assessment Model Based on SAA-SSA-BPNN.
- Author
-
ZHANG Ran, PAN Zhihan, YIN Yifeng, and CAI Zengyu
- Subjects
SIMULATED annealing ,ARTIFICIAL neural networks ,SEARCH algorithms ,COMPUTER network security ,EXTREME value theory ,PARTICLE swarm optimization - Abstract
To solve the problems that the accuracy and convergence of current network security situation assessment models need to be improved, a network security situation assessment model based on SAA-SSA-BPNN is proposed. In this model, the sparrow search algorithm (SSA) is optimized by the simulated annealing algorithm (SAA) that can accept the inferior solution with a certain probability and jump out of the local extreme value with a high probability to reach the global optimal solution, and the BP neural network (BPNN) is improved by the optimized sparrow search algorithm that has good stability, fast convergence speed and is not easy to fall into the local optimum, so as to find the best fitness individual, and obtain the optimal weight and threshold, then assign them to the BP neural network as the initial values. The preprocessed index data is input into the improved BP neural network model for training, and finally the threat degree of the network system is assessed based on the trained model. Comparative experimental results show that this assessment model has higher accuracy and faster convergence than other situation assessment models based on improved BP neural network. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
46. An Expanded Framework for Situation Control
- Author
-
James Llinas and Raj Malhotra
- Subjects
stochastic control and time-varying systems ,situation control ,situation assessment ,estimation ,prediction ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
There is an extensive body of literature on the topic of estimating situational states, in applications ranging from cyber-defense to military operations to traffic situations and autonomous cars. In the military/defense/intelligence literature, situation assessment seems to be the sine qua non for any research on surveillance and reconnaissance, command and control, and intelligence analysis. Virtually all of this work focuses on assessing the situation-at-the-moment; many if not most of the estimation techniques are based on Data and Information Fusion (DIF) approaches, with some recent schemes employing Artificial Intelligence (AI) and Machine Learning (ML) methods. But estimating and recognizing situational conditions is most often couched in a decision-making, action-taking context, implying that actions may be needed so that certain goal situations will be reached as a result of such actions, or at least that progress toward such goal states will be made. This context thus frames the estimation of situational states in the larger context of a control-loop, with a need to understand the temporal evolution of situational states, not just a snapshot at a given time. Estimating situational dynamics requires the important functions of situation recognition, situation prediction, and situation understanding that are also central to such an integrated estimation + action-taking architecture. The varied processes for all of these combined capabilities lie in a closed-loop “situation control” framework, where the core operations of a stochastic control process involve situation recognition—learning—prediction—situation “error” assessment—and action taking to move the situation to a goal state. We propose several additional functionalities for this closed-loop control process in relation to some prior work on this topic, to include remarks on the integration of control-theoretic principles. Expanded remarks are also made on the state of the art of the schemas and computational technologies for situation recognition, prediction and understanding, as well as the roles for human intelligence in this larger framework.
- Published
- 2022
- Full Text
- View/download PDF
47. Fighter Equipment Contribution Evaluation Based on Maneuver Decision
- Author
-
Hanchen Lu, Boyi Wu, and Junqing Chen
- Subjects
Equipment contribution ,influence diagrams ,maneuver decision ,situation assessment ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
With the development of integrated technology and equipment systems, decision-making support has been increasingly applied in equipment research and development, especially in air combat. The development of airborne equipment can significantly improve the confrontation ability of manned fighters. Contribution evaluations restrict decision making in equipment research and development and are important in beyond-visual-range (BVR) air combat, which involves dynamic and uncertain enemy positions. This paper proposes a contribution evaluation model for BVR air combat based on autonomous maneuver decision making; this approach mainly includes a situation evaluation model, a maneuver decision model, and a one-to-one BVR air combat evaluation model. However, such a model includes a high-dimensional state and action space, which require many computations, especially if equipment changes occur. Then, an autonomous maneuver decision algorithm based on the influence diagram method is proposed; this algorithm uses a rolling time domain concept to improve combat fidelity and obtain useful equipment contribution evaluation results. Finally, one-to-one BVR air combat is simulated based on different aircraft models and airborne equipment. The simulation results show that the proposed maneuver decision model and countermeasure evaluation model can help experts quantify the contributions of equipment and provide adequate decision-making support to improve equipment systems.
- Published
- 2021
- Full Text
- View/download PDF
48. Battlefield Target Grouping by a Hybridization of an Improved Whale Optimization Algorithm and Affinity Propagation
- Author
-
Yuxian Duan, Changyun Liu, and Song Li
- Subjects
Clustering algorithm ,affinity propagation ,whale optimization algorithm ,target grouping ,situation assessment ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Target grouping, which is essentially a data clustering problem, is a research hotspot in the field of battlefield situation assessment. To address an unknown battlefield environment, affinity propagation based on an improved whale optimization algorithm (APBWOA) is proposed from the perspective of clustering. First, we propose a whale optimization algorithm based on a chaotic map and nonlinear inertia weight improvement called CPIW-WOA, which uses an improved circle map to generate initial populations and introduces nonlinear inertia weights to improve its convergence efficiency. The test results on nine benchmark functions show that the CPIW-WOA algorithm has superior performance to existing methods. Second, based on the fact that it fully considers the weights of the attributes in a given sample, the weighted Mahalanobis distance is adopted to replace the Euclidean distance. In addition, the silhouette index is introduced to determine the optimal number of clusters. By iteratively updating through CPIW-WOA to search for the optimal settings, the limitation of manually entering specified parameters can be overcome. Test results on real-world datasets show that the new method is more accurate and effective than other methods; therefore, it can provide effective solutions with respect to battlefield target grouping.
- Published
- 2021
- Full Text
- View/download PDF
49. The spread of COVID-19 outbreak in the first 120 days: a comparison between Nigeria and seven other countries
- Author
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Ayo Stephen Adebowale, Adeniyi F. Fagbamigbe, Joshua O. Akinyemi, Olalekan K. Obisesan, Emmanuel J. Awosanya, Rotimi F. Afolabi, Selim A. Alarape, and Sunday O. Obabiyi
- Subjects
COVID-19 ,Situation assessment ,Model fit ,Nigeria ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background COVID-19 is an emerging public health emergency of international concern. The trajectory of the global spread is worrisome, particularly in heavily populated countries such as Nigeria. The study objective was to assess and compare the pattern of COVID-19 spread in Nigeria and seven other countries during the first 120 days of the outbreak. Methods Data was extracted from the World Bank’s website. A descriptive analysis was conducted as well as modelling of COVID-19 spread from day one through day 120 in Nigeria and seven other countries. Model fitting was conducted using linear, quadratic, cubic and exponential regression methods (α=0.05). Results The COVID-19 spread pattern in Nigeria was similar to the patterns in Egypt, Ghana and Cameroun. The daily death distribution in Nigeria was similar to those of six out of the seven countries considered. There was an increasing trend in the daily COVID-19 confirmed cases in Nigeria. During the lockdown, the growth rate in Nigeria was 5.85 (R2=0.728, p
- Published
- 2021
- Full Text
- View/download PDF
50. 基于改进 CRITIC 的灰色关联网络安全态势评估方法.
- Author
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陈 龙, 吕 磊, and 杨旭东
- Subjects
GREY relational analysis ,TOPSIS method ,SITUATIONAL awareness ,ALGORITHMS ,STATISTICAL correlation - Abstract
Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
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