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Threshold Alarm Algorithm for in-Patient Monitoring System

Pushpa G, PES University
2020 International Journal of Engineering Research and  
in the hospital special ward, where the present system uses physical system and application level behavioral information conditions along with previous health details of the related patients.  ...  The sensors gather and exhibits patient's raw conditions which enables the detector system catching the validated information to avoid life-threatening situations of patients.  ...  The sensor captures the vital activities of the patients and the context information that includes the physical activities and the behavioral activities of the patients.  ... 
doi:10.17577/ijertv9is060430 fatcat:apn3eowm5fezbkr5iamgzt7iky

The Convergence of AOP and Active Databases: Towards Reactive Middleware [chapter]

Mariano Cilia, Michael Haupt, Mira Mezini, Alejandro Buchmann
2003 Lecture Notes in Computer Science  
In this paper we analyze the convergence of techniques from aspect oriented programming, active databases and asynchronous notification systems to form reactive middleware.  ...  Reactive behavior is rapidly becoming a key feature of modern software systems in such diverse areas as ubiquitous computing, autonomic systems, and event-based supply chain management.  ...  Acknowledgments The authors thank the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1007/978-3-540-39815-8_11 fatcat:jc54p24e4jhgjervmn5e2ebwfe

Learning Goal Hierarchies from Structured Observations and Expert Annotations [chapter]

Tolga Könik, John Laird
2004 Lecture Notes in Computer Science  
Our framework uses observed behavior and goal annotations of an expert as the primary input, interprets them in the context of background knowledge, and returns an agent program that behaves similar to  ...  To deal with the large domains we consider, we have developed an efficient mechanism for storing and retrieving structured behavior data.  ...  Our system first learns how the experts select goals based on observed situations, background knowledge, and their active goals.  ... 
doi:10.1007/978-3-540-30109-7_17 fatcat:ctgsu5tbanchboj74qsxs74aky

Learning goal hierarchies from structured observations and expert annotations

Tolga Könik, John E. Laird
2006 Machine Learning  
Our framework uses observed behavior and goal annotations of an expert as the primary input, interprets them in the context of background knowledge, and returns an agent program that behaves similar to  ...  To deal with the large domains we consider, we have developed an efficient mechanism for storing and retrieving structured behavior data.  ...  Our system first learns how the experts select goals based on observed situations, background knowledge, and their active goals.  ... 
doi:10.1007/s10994-006-7734-8 fatcat:birp7qxhtfcuvc2olktcsdkzxu

A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

Qingquan Sun, Weihong Yu, Nikolai Kochurov, Qi Hao, Fei Hu
2013 Journal of Sensor and Actuator Networks  
The novelties of this work include the developments of (1) belief, desire and intention (BDI) agent behavior models; (2) a regulation policy-based multi-agent collaboration mechanism; and (3) a set of  ...  This paper proposes a multi-agent system (MAS) design framework to achieve smart house automation.  ...  BDI Model-Based Individual Agent Behavior An agent is a system that is situated in a changing environment and chooses autonomously among various options available.  ... 
doi:10.3390/jsan2030557 fatcat:hfyp5feljrewrcd4kx44igjj7i

Autonomic Management via Dynamic Combinations of Reusable Strategies

Ada Diaconescu, Yoann Maurel, Philippe Lalanda
2008 Proceedings of the 2nd International ICST Conference on Autonomic Computing and Communication Systems  
Autonomic Management capabilities become increasingly important for attaining functional and quality goals in software systems.  ...  Nonetheless, successful Autonomic Management solutions must feature complex, adaptive behaviors, which remain difficult to conceive and control.  ...  the sets of strategies that are to be activated in different situations.  ... 
doi:10.4108/icst.autonomics2008.4524 dblp:conf/autonomics/DiaconescuML08 fatcat:ns6gmpfaxfeubocsejkur45msi

Specifying active databases as non-Markovian theories of actions

Iluju Kiringa
2008 Journal of Intelligent Information Systems  
We call these theories active relational theories and use them to capture the dynamics of active databases.  ...  Over the last fifteen years, database management systems (DBMSs) have been enhanced by the addition of rule-based programming to obtain active DBMSs.  ...  Active Databases An active database is a (relational) database augmented with an active behavior [37] . An ADBMS captures the (re)active behavior of application domains.  ... 
doi:10.1007/s10844-007-0050-3 fatcat:jqhe4vynofbkzolftpucljwzae

Human behavioral pattern analysis-based anomaly detection system in residential space

Seunghyun Choi, Changgyun Kim, Yong-Shin Kang, Sekyoung Youm
2021 Journal of Supercomputing  
From the viewpoint of the residential space monitoring system, the life patterns in human living spaces vary widely, and it is very difficult to find abnormal situations.  ...  The system includes the behavioral analysis of monitored subjects using a deep learning methodology, behavioral pattern derivation using the PrefixSpan algorithm, and the anomaly detection technique using  ...  Then, the system saves the current monitored behavior in the database with the time.  ... 
doi:10.1007/s11227-021-03641-7 fatcat:4o3benewcjbrxb6cdmwxzjorde

Understanding Collaborative Authoring in Shared Workspaces [chapter]

Chaomei Chen, Roy Rada
1995 IFIP Advances in Information and Communication Technology  
KEY WORDS: Collaborative authoring, patterns of user behavior, shared workspaces, Markov chain analysis, collaborative hypertext systems.  ...  These findings have both theoretical and empirical value for designing practicable computer systems for collaborative work.  ...  These behavioral patterns reflect situations where contextual-social awareness might be called for.  ... 
doi:10.1007/978-1-5041-2896-4_47 fatcat:nrcnqd7n4zahdl5t5q243gij2m

A decision support system for real-time stress detection during virtual reality exposure

Andrea Gaggioli, Pietro Cipresso, Silvia Serino, Giovanni Pioggia, Gennaro Tartarisco, Giovanni Baldus, Daniele Corda, Marcello Ferro, Nicola Carbonaro, Alessandro Tognetti, Danilo De Rossi, Dimitris Giakoumis (+3 others)
2014 Studies in Health Technology and Informatics  
The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress  ...  To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments.  ...  Central Database and Decision Module Biosensor and activity data collected during VR sessions are filtered, pre-processed in order to extract specific stress-related features and sent to a central database  ... 
pmid:24732491 fatcat:hv6dpu6rwjhuxkziznfcg5ciii


J. W. Jiang, J. W. Li, J. S. Wei, Z. P. Su
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Then analyze and discuss the construction method of active geographic awareness architecture, developed a geographic feature content system and studied its extraction and weight calculation methods.  ...  Finally, a personalized precise service system based on active geographical perception is designed.  ...  USER BEHAVIOR MOTIVATION INFERENCE METHOD BASED ON ACTIVE GEOGRAPHIC PERCEPTION The ultimate goal of active geographic awareness is to infer the user's behavioral motivation by reconstructing the situation  ... 
doi:10.5194/isprs-archives-xlii-3-w10-245-2020 fatcat:6a3t5zih4fbghhnfy5n7qkaqiq

Hybrid imaging-AI approach for handling critical situations in a fast-changing environment:preliminary study

Adam Surówka, T. Tracz, K. Mróz, T. Zdeb
2020 MATEC Web of Conferences  
It is also important to consider the hardware requirements and restrictions for developing such system.  ...  The author reveals the system implementation details, and then demonstrates its shape detection capabilities while in operation.  ...  This activity significantly improves supervision and enables much faster identification of potential emergency situations [22] .  ... 
doi:10.1051/matecconf/202032201048 fatcat:a4e2cyiesreutp6fjl52kfjrne

Towards Requirements Engineering of Active Database Systems

José H. Canós, Javier Jaén Martínez, Isidro Ramos
1998 Workshop em Engenharia de Requisitos  
We define both a syntax and semantics to formalize different dimensions of active behavior.  ...  present a model of active behavior that is independent of a concrete database data model, in the sense that the set of events is not predefined (imposed by the database system used), rather it varies  ...  Essentially, the (re)active behavior is associated to the DBMS itself, which should be "able to react automatically to situations in the database and beyond" [Dit95] .  ... 
dblp:conf/wer/CerdaMR98 fatcat:ntu2smnu7jh3zlosyzd2irbuny

An Intelligent Multi-Sensor Surveillance System for Elderly Care

Sou-Young Jin
2012 The Smart Computing Review  
The main contributions of our proposed system will be to: (i) minimize human intervention; (ii) detect more complex activities and situations using various sensors and improved sensor fusion techniques  ...  ; and (iii) design a novel classifier that identifies risky situations with the collected information.  ...  In the proposed system, a database for risky situations will be constructed by predefining risky situations with the help of domain experts or knowledge as in [8] .  ... 
doi:10.6029/smartcr.2012.04.006 fatcat:7sjkkmn2eba3ngl5qhsaovzamq

Contextual Activity Visualization from Long-Term Video Observations

Brendan Tran Morris, Mohan Manubhai Trivedi
2010 IEEE Intelligent Systems  
and Robotics Research (CVRR) Laboratory.  ...  We also thank the reviewers and guest editors for their constructive comments.  ...  The activity HMMs are inserted into the model database and used for live monitoring in order to classify current activity, predict future behavior, and detect abnormal events.  ... 
doi:10.1109/mis.2010.81 fatcat:iaiv7gvednbdhekq5tahvz5kgy
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