Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 29, Number 7(2) (2017)
Copyright(C) MYU K.K.
pp. 997-1003
S&M1391 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2017.1601
Published: July 26, 2017

Efficient Cooperative Inference Architecture for Reasoning Agents in Context-aware Surveillance Networks [PDF]

Soo-Mi Yang

(Received May 2, 2016; Accepted May 10, 2017)

Keywords: surveillance, information centric network, weighted ontology, cooperative inference, contextaware reasoning agents

In this paper, we investigate the model of multicamera, multisensor surveillance networks. To accomplish context awareness in wide area surveillance, several reasoning agents are distributed to analyze and process various events. Context ontology provides a more manageable and scalable representation of surveillance data for reasoning. For cooperative reasoning, agents exchange context knowledge to draw an integrated higher inference. Integrating heterogeneous ontologies is important for inference agents utilizing multiple ontologies. In this paper, architecture based on information-centric networking is proposed for a more efficient surveillance data delivery. Increasing surveillance data across areas generates concerns regarding the cost of transferring large amounts of event-related data sets. In an information-centric network, content is delivered over content stores and caching desired data from them can save bandwidth. In the proposed scheme, delivering semantically similar content within threshold values given in interest packets further reduces traffic. Estimation of similarity incorporated with weighted ontology, which considers trust level, importance and cost, provides efficient use of cache capacity. An experimental validation of the proposed method analyzes the cost of data transmission. Simulations show that the given information-centric architecture enables high reliability and performance with low transmission costs.

Corresponding author: Soo-Mi Yang


Cite this article
Soo-Mi Yang, Efficient Cooperative Inference Architecture for Reasoning Agents in Context-aware Surveillance Networks, Sens. Mater., Vol. 29, No. 7, 2017, p. 997-1003.



Forthcoming Regular Issues


Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Data Sensing and Processing Technologies for Smart Community and Smart Life
Guest editor, Tatsuya Yamazaki (Niigata University)
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper


Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2024)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.