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- 저자 : Kangavari, Hajar Nazari (검색결과 3 건)
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Data Mining Methods for Rule Designing and Rule Triggering in Active Database Systems
Nasrin Kalanat,Mohammad Reza Kangavari 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
Active database system has been introduced to extend the database functionality. It is capable of detecting specific events and automatically reacting to them by executing certain actions either inside or outside the database. This behavior is usually specified through Event Condition Action (ECA) rules. Rule design plays a critical role in implementing an active database system, it is not always straightforward due to lack of methodology. In this paper is presented a new approach to identify ECA rules that could strongly express application semantics. Additionally is proposed an ensemble method for triggering more appropriate ECA rules when the interesting events occurred.
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Mahdi Ilbeygi,Mohammad Reza Kangavari 한국전자통신연구원 2018 ETRI Journal Vol.40 No.4
Nowadays, with progresses in robotic science, the design and implementation of a mechanism for human–robot interaction with a low workload is inevitable. One notable challenge in this field is the interaction between a single human and a group of robots. Therefore, we propose a new comprehensive framework for single‐human multiple‐robot remote interaction that can form an efficient intelligent adaptive interaction (IAI). Our interaction system can thoroughly adapt itself to changes in interaction context and user states. Some advantages of our devised IAI framework are lower workload, higher level of situation awareness, and efficient interaction. In this paper, we introduce a new IAI architecture as our comprehensive mechanism. In order to practically examine the architecture, we implemented our proposed IAI to control a group of unmanned aerial vehicles (UAVs) under different scenarios. The results show that our devised IAI framework can effectively reduce human workload and the level of situation awareness, and concurrently foster the mission completion percentage of the UAVs.
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Nazari, Seyed Saeed Hashemi,Mansori, Kamyar,Kangavari, Hajar Nazari,Shojaei, Ahmad,Arsang-Jang, Shahram The Korean Society for Preventive Medicine 2022 예방의학회지 Vol.55 No.2
Objectives: We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016. Methods: In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used. Results: The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran's provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years. Conclusions: The highest risk of suicide mortality was observed in Iran's northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.
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