Security Service for Wireless Sensor Network

2013 ◽  
Vol 11 (6) ◽  
pp. 2715-2724
Author(s):  
A. Solairaju ◽  
S.Vivek Saravanan

Wireless Sensor Networks (WSNs) are gradually adopted in the industrial world due to their advantages over wired networks. In addition to saving cabling costs, WSNs widen the realm of environments feasible for monitoring. They thus add sensing and acting capabilities to objects in the physical world and allow for communication among these objects or with services in the future Internet. However, the acceptance of WSNs by theindustrial automation community is impeded by open issues, such as security guarantees. To examine both of these perspectives, we select and survey relevant WSN technologies dedicated to industrial automation. We determine to carry out a threat analysis, which act as basis of our evaluation of the current state-of-the-art. According to the results of this evaluation, we identify and discuss some research issues.

2005 ◽  
Vol 1 (1) ◽  
pp. 101-122 ◽  
Author(s):  
Neha Jain ◽  
Dharma P. Agrawal

The self-organizing nature of sensor networks, their autonomous operation and potential architectural alternatives make them suitable for different data-centric applications. Their wider acceptance seems to be rising on the horizon. In this article, we present an overview of the current state of the art in the field of wireless sensor networks. We also present various open research issues and provide an insight about the latest developments that need to be explored in greater depth that could possibly make this emerging technological area more useful than ever.


1982 ◽  
Vol 19 (2) ◽  
pp. 269-273 ◽  
Author(s):  
Shelby D. Hunt ◽  
Richard D. Sparkman ◽  
James B. Wilcox

Despite their widely recognized importance in survey research, pretests have received little methodological attention. The authors summarize the current state of the art and report results from an empirical investigation of the effectiveness of respondent verbalizations in pretesting. The results suggest that pretesting is effective in identifying some types of problem questions but not others.


2006 ◽  
Vol 7 (2) ◽  
pp. 135-169 ◽  
Author(s):  
Frédéric Kaplan ◽  
Verena V. Hafner

This article discusses the concept of joint attention and the different skills underlying its development. Research in developmental psychology clearly states that the development of skills to understand, manipulate and coordinate attentional behavior plays a pivotal role for imitation, social cognition and the development of language. However, beside the fact that joint attention has recently received an increasing interest in the robotics community, existing models concentrate only on partial and isolated elements of these phenomena. In the line of Tomasello’s research, we argue that joint attention is much more than simultaneous looking because it implies a shared intentional relation to the world. This requires skills for attention detection, attention manipulation, social coordination and, most importantly, intentional understanding. After defining joint attention and its challenges, the current state-of-the-art of robotic and computational models relevant for this issue is discussed in relation to a developmental timeline drawn from results in child studies. From this survey, we identify open issues and challenges that still need to be addressed to understand the development of the various aspects of joint attention and conclude with the potential contribution of robotic models.


2015 ◽  
Vol 57 (3) ◽  
Author(s):  
Markus Enzweiler

AbstractWhat started as a distant vision just a few decades ago is quickly becoming reality. Autonomous vehicles are about to be deployed on a large scale and will fundamentally change our transportation behavior. In this particular application, extreme demands on reliability and quality give rise to numerous problems and open issues that need to be jointly identified and addressed by both academia and industry. In this article, we present an overview of the current state-of-the-art in the field of intelligent autonomous vehicles. We further discuss open problems and current research directions.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ana Roxin ◽  
Wahabou Abdou ◽  
William Derigent

AbstractThis paper presents contributions of the ANR McBIM (Communicating Material for BIM) project regarding Digital Building Twins, specifically how Semantic Web technologies allow providing explainable decision-support. Following an introduction stating our understanding of a Digital Building Twin (DBT), namely a lively representation of a buildings' status and environment, we identify five main research domains following the study of main research issues related to DBT. We then present the state-of-the-art and existing standards for digitizing the construction process, Semantic Web technologies, and wireless sensor networks. We further position the main contributions made so far in the ANR McBIM project's context according to this analysis, e.g., sensor placement in the communicating material and explainable decision-support.


2017 ◽  
Vol 35 (4) ◽  
pp. 284-303 ◽  
Author(s):  
Oliver Heidrich ◽  
John Kamara ◽  
Sebastiano Maltese ◽  
Fulvio Re Cecconi ◽  
Mario Claudio Dejaco

Purpose This paper provides a critical review of developments in the adaptability of buildings. The purpose of this paper is to determine the current “state-of-the-art”, describe current thinking and trends in research and practice, and identify issues and gaps that further research can address. It provides a basis for a scientific and practical understanding of the interdependencies across different design criterion. This paper increases the awareness of architects, engineers, clients and users on the importance of adaptability and its role in lowering impacts over the lifecycle of buildings as part of the infrastructure system. Design/methodology/approach This paper draws mainly from the literature as its source of evidence. These were identified from established databases and search engines (e.g. Scopus, ISI Web of Knowledge and Google Scholar) using keywords such as adaptability, adaptable, adaptation, and flexibility. Over 80 sources including books, journal papers, conference proceedings, research reports and doctoral theses covering the period 1990 to 2017 were reviewed and categorised. An inductive approach was used to critically review and categorise these publications and develop a framework for analysis. Findings The concept of adaptability includes many dimensions which can broadly fall into two categories: changes to buildings and user adaptations to buildings. However, previous research has mostly focussed on the former, with many attempts to identify building attributes that facilitate adaptability, and some considerations for its assessment. Key areas that have not been adequately addressed and which require further research include: user/occupant adaptations, cost, benefits and implications of various adaptability measures, and the development of a standardised assessment methodology that could aid in decision making in the design stage of buildings. Research limitations/implications The adaptability strategies considered in this review focussed mainly on building components and systems, and did not include the contribution of intelligent and smart/biological systems. The coverage is further limited in scope due to the period considered (1990-2017) and the exclusion of terms such as “retrofit” and “refurbishment” from the review. However, the findings provide a solid basis for further research in the areas identified above. It identifies research issues and gaps in knowledge between the defined needs and current state-of-the-art on adaptive building for both research and practice. Originality/value This paper is a review of research into a highly topical subject, given the acknowledged need to adapt buildings over their lifecycle to environmental, economic or social changes. It provides further insights on the dimensions of adaptability and identifies areas for further research that will contribute to the development of robust tools for the assessment of building adaptability, which will enhance the decision-making process of building design and the development of a more sustainable built environment.


1997 ◽  
Vol 4 (18) ◽  
Author(s):  
Robert Pollack

Suppose I say "Here is a machine-checked proof of Fermat's last theorem (FLT)". How can you use my putative machine-checked proof as evidence for belief in<br />FLT? I start from the position that you must have some personal experience of understanding to attain belief, and to have this experience you must engage your intuition and other mental processes which are impossible to formalise. By machine-checked proof I mean a formal derivation in some given formal<br />system; I am talking about derivability, not about truth. Further, I want to talk about actually believing an actual formal proof, not about formal proofs in principle; to be interesting, any approach to this problem must be feasible. You might try to read my proof, just as you would a proof in a journal; however,<br />with the current state of the art, this proof will surely be too long for you to have confidence that you have understood it. This paper presents a technological<br />approach for reducing the problem of believing a formal proof to the same psychological and philosophical issues as believing a conventional proof in a mathematics journal. The approach is not entirely successful philosophically as there seems to be a fundamental difference between machine checked mathematics,<br />which depends on empirical knowledge about the physical world, and informal mathematics, which needs no such knowledge (see section 3.2.2).<br />In the rest of this introduction I outline the approach and mention related work. In following sections I discuss what we expect from a proof, add details to the approach, pointing out problems that arise, and concentrate on what I believe<br />is the primary technical problem: expressiveness and feasibility for checking of formal systems and representations of mathematical notions.


Author(s):  
Xiaochun Hu ◽  
Jun Pang ◽  
Yan Pang ◽  
Michael Atwood ◽  
Wei Sun ◽  
...  

Abstract This paper provides a brief survey on recent research in the area of design rationale. The study of Design Rationale spans a number of diverse disciplines, touching on concepts from research communities in Mechanical Design, Software Engineering, Artificial Intelligence, Civil Engineering and Human-Factors and Human-Computer Interaction research. We focus this survey on prototype design rationale systems for these application domains and put forward several major axes along which to describe and classify design rationale systems, including argumentation-based, descriptive, and process-based approaches. Further, we attempt to abstract the place of systems and tools for design rationale capture and retrieval in the context of contemporary knowledge-based engineering and CAD tools. This survey is structured around the fundamental different approaches, their representation schema, their capture methods, and retrieval techniques. A number of recent design rationale systems and representation schemes are presented, including JANUS, COMET, ADD, REMAP, HOS, PHIDIAS, DRIVE, IBIS. We conclude with an assessment of the current state-of-the-art and a discussion of critical open research issues.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanan Alghamdi ◽  
Ali Selamat

PurposeWith the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.Design/methodology/approachThis study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.FindingsBased on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.Originality/valueAt the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.


1995 ◽  
Vol 38 (5) ◽  
pp. 1126-1142 ◽  
Author(s):  
Jeffrey W. Gilger

This paper is an introduction to behavioral genetics for researchers and practioners in language development and disorders. The specific aims are to illustrate some essential concepts and to show how behavioral genetic research can be applied to the language sciences. Past genetic research on language-related traits has tended to focus on simple etiology (i.e., the heritability or familiality of language skills). The current state of the art, however, suggests that great promise lies in addressing more complex questions through behavioral genetic paradigms. In terms of future goals it is suggested that: (a) more behavioral genetic work of all types should be done—including replications and expansions of preliminary studies already in print; (b) work should focus on fine-grained, theory-based phenotypes with research designs that can address complex questions in language development; and (c) work in this area should utilize a variety of samples and methods (e.g., twin and family samples, heritability and segregation analyses, linkage and association tests, etc.).


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