Search results for: Marco Anisetti

Items from 1 to 20 out of 50 results

article

An IoT‐based human detection system for complex industrial environment with deep learning architectures and transfer learning

Imran Ahmed, Marco Anisetti, Gwanggil Jeon

International Journal of Intelligent Systems > 37 > 12 > 10249 - 10267

Artificial intelligence (AI), combined with the Internet of Things (IoT), plays a beneficial role in various fields, including intelligent surveillance applications. With IoT and 5G advancement, intelligent sensors, and devices in the surveillance environment collect large amounts of data in the form of videos and images. These collected data require intelligent information processing solutions, help...

article

A trust assurance technique for Internet of things based on human behavior compliance

Marco Anisetti, Claudio Agostino Ardagna, Ernesto Damiani, Alessandro Sala

Concurrency and Computation: Practice and Experience > 33 > 4 > n/a - n/a

The advent of the Internet of things (IoT) has radically changed the way in which computations and communications are carried out. People are just becoming another component of IoT environments, and in turn, IoT environments are becoming a mixture of platforms, software, services, things, and people. The price we pay for such dynamic and powerful environment is an intrinsic uncertainty and low trustworthiness...

article

Image enhancement in embedded devices for internet of things

Gwanggil Jeon, Kitsuchart Pasupa, Marco Anisetti, Awais Ahmad

Concurrency and Computation: Practice and Experience > 33 > 3 > n/a - n/a

This paper proposes a new color interpolation method which can be used in embedded devices for IoT system. In this work, we use regression approach for generating and designing filters to restore color image. The filters are designed with four sizes, 5x5 training filter, 7x7 training filter, 9x9 training filter, and 11x11 training filter. The obtained filters are tested in 25 LC dataset to assess...

article

A polling access control with exhaustive service in wireless body area networks for mobile healthcare using the sleeping schema

Min He, Zheng Guan, Zhangyong Wu, Liang Lü, more

Journal of Ambient Intelligence and Humanized Computing > 2019 > 10 > 10 > 3761-3774

Wireless body area networks (WBANs) play an important role in human health monitoring for mobile healthcare. The improvement of service performance and low-power consumption are the two challenges for these medical WBANs, because those energy-limited wireless medical sensors must transmit the monitoring data to the personal server (PS) via intra-WBAN in time. Further, precise mathematical modeling...

article

Special issue on real-time image and video processing in mobile embedded systems

Awais Ahmad, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon

Journal of Real-Time Image Processing > 2019 > 16 > 1 > 1-4

article

Reconstruction of missing color-channel data using a three-step back propagation neural network

Jin Wang, Marco Anisetti, Gwanggil Jeon

International Journal of Machine Learning and Cybernetics > 2019 > 10 > 10 > 2631-2642

Demosaicking aims to approximate missing color pixels through analysis of the geometric structure between given color pixels and missing color pixels. In this paper, we introduce an efficient adaptive demosaicking method based on back propagation (BP) neural network (BP-NN). We firstly reconstruct the green channel using one BPNN, and then refine the green channel utilizing another BPNN based on the...

article

Real-time image processing systems using fuzzy and rough sets techniques

Gwanggil Jeon, Marco Anisetti, Ernesto Damiani, Olivier Monga

Soft Computing > 2018 > 22 > 5 > 1381-1384

article

Computational intelligence for multimedia and industrial applications

Gwanggil Jeon, Ernesto Damiani, Marco Anisetti

Multimedia Tools and Applications > 2017 > 76 > 23 > 24589- 24593

chapter

A Security Benchmark for OpenStack

Marco Anisetti, Claudio A. Ardagna, Ernesto Damiani, Filippo Gaudenzi

2017 IEEE 10th International Conference on Cloud Computing (CLOUD) > 294 - 301

2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

The cloud computing paradigm entails a radical change in IT provisioning, which must be understood and correctly applied especially when security requirements are considered. Security requirements do not cover anymore just the application itself, but involve the whole cloud supply chain from the hosting infrastructure to the final applications. This scenario requires, on one side, new security mechanisms...

article

Lossless compression for aurora spectral images using fast online bi-dimensional decorrelation method

Wanqiu Kong, Jiaji Wu, Zejun Hu, Marco Anisetti, more

Information Sciences > 2017 > 381 > C > 33-45

In this paper, we propose a lossless compression method to resolve the limitations in the real-time transmission of aurora spectral images. This method bi-dimensionally decorrelates the spatial and spectral domains and effectively removes side information of recursively computed coefficients to achieve high quality rapid compression. Experiments on data sets captured from the Antarctic Zhongshan Station...

article

Towards Transparent and Trustworthy Cloud

Marco Anisetti, Claudio A. Ardagna, Ernesto Damiani, Antonio Mana, more

IEEE Cloud Computing > 2017 > 4 > 3 > 40 - 48

Despite its immense benefits in terms of flexibility, resource consumption, and simplified management, cloud computing raises several concerns due to lack of trust and transparency. Like all computing paradigms based on outsourcing, the use of cloud computing is largely a matter of trust. There is an increasing pressure by cloud customers for solutions that would increase their confidence that a cloud...

article

Bayer Demosaicking With Polynomial Interpolation

Jiaji Wu, Marco Anisetti, Wei Wu, Ernesto Damiani, more

IEEE Transactions on Image Processing > 2016 > 25 > 11 > 5369 - 5382

Demosaicking is a digital image process to reconstruct full color digital images from incomplete color samples from an image sensor. It is an unavoidable process for many devices incorporating camera sensor (e.g., mobile phones, tablet, and so on). In this paper, we introduce a new demosaicking algorithm based on polynomial interpolation-based demosaicking. Our method makes three contributions: calculation...

article

Locally estimated heterogeneity property and its fuzzy filter application for deinterlacing

Gwanggil Jeon, Marco Anisetti, Lei Wang, Ernesto Damiani

Information Sciences > 2016 > 354 > C > 112-130

This paper presents an intra-field scanning format conversion method using two filters: bilinear filter (BF) and fuzzy-based weighted average filter (FWAF). The proposed method is intended for black and white images, luminance component of YIQ color space, or each color component of RGB color space. We start from the notion that pixels to be interpolated can be classified into two areas based on local...

chapter

A Cost-Effective Certification-Based Service Composition for the Cloud

Marco Anisetti, Claudio A. Ardagna, Ernesto Damiani, Filippo Gaudenzi

2016 IEEE International Conference on Services Computing (SCC) > 58 - 65

2016 IEEE International Conference on Services Computing (SCC)

The cloud computing paradigm provides an environment where services can be composed and reused at high rates. Existing composition techniques focus on providing the desired functionality and at a given deployment cost. In this paper, we focus on the definition of cloud service compositions driven by certified non-functional properties. We define a cost evaluation methodology aimed to provide the composition...

chapter

Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction

Gwanggil Jeon, Marco Anisetti, Kyoungjoon Park, Valerio Bellandi, more

Lecture Notes in Computer Science > Rough Sets, Fuzzy Sets, Data Mining and Granular Computing > Soft Computing in Multimedia Processing > 459-466

Plasma display panel (PDP) has become popular as high-end television monitors. In PDPs, gray levels are expressed by the pulse-number modulation technique to generate gradation display. Although this method can display still image faithfully, it can yield annoying distortions when displaying moving images. In order to reduce the dynamic false contour and develop moving picture quality, we propose...

chapter

Assessing Separation of Duty Policies through the Interpretation of Sampled Video Sequences: A Pair Programming Case Study

Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Gabriele Gianini

Studies in Computational Intelligence > New Directions in Intelligent Interactive Multimedia > 555-564

In this paper we present a non-invasive technique, which can be used to interpret single camera undersampled videos in order to extract the alteration patterns of Pair Programming (PP) developers. The method uses a procedure for scene interpretation exploiting 3D face models to take into account for movement related illumination change, facial expression change and occlusion; in order to extract the...

chapter

Towards Pattern-Based Reliability Certification of Services

Ingrid Buckley, Eduardo B. Fernandez, Marco Anisetti, Claudio A. Ardagna, more

Lecture Notes in Computer Science > On the Move to Meaningful Internet Systems: OTM 2011 > Security and Privacy > 560-576

On Service-Oriented Architectures (SOAs), the mechanism for run-time discovery and selection of services may conflict with the need to make sure that business process instances satisfy their reliability requirements. In this paper we describe a certification scheme based on machine-readable reliability certificates that will enable run-time negotiation. Service reliability is afforded by means of...

chapter

Designing Rough Sets Attributes Reduction Based Video Deinterlacing System

Gwanggil Jeon, Marco Anisetti, Valerio Bellandi, Jechang Jeong

Lecture Notes in Computer Science > Adaptive and Natural Computing Algorithms > Fuzzy and Rough Systems > 684-693

The use of rough set’s theoretic concepts has permitted in this work to make the mathematical model on mode decision in deinterlacing system. In this paper, a rough set approach based decision making problem is proposed. In the literature, some conventional deinterlacing methods provide high performance with higher computational burden. On the other hand, some other methods give low performance with...

chapter

Toward Exploiting Location-Based and Video Information in Negotiated Access Control Policies

Ernesto Damiani, Marco Anisetti, Valerio Bellandi

Lecture Notes in Computer Science > Information Systems Security > 21-35

As the global information infrastructure is becoming more and more ubiquitous, digital business transactions are increasingly performed using a variety of mobile devices and across multiple communication channels. In this new paradigm of pervasive access, a much richer context representation regarding both users and the resources they access could be available to applications, potentially supporting...

chapter

ASSERT4SOA: Toward Security Certification of Service-Oriented Applications

Marco Anisetti, Claudio A. Ardagna, Franco Guida, Sigrid Gürgens, more

Lecture Notes in Computer Science > On the Move to Meaningful Internet Systems: OTM 2010 Workshops > Posters of the DOA 2010 International Conference > 38-40

ASSERT4SOA project proposes machine readable certificates to be used to allow Web service requesters to automatically assess the security properties of Web services (and their providers) as certified by a trusted third party. This vision promises to open up an entire new market for certification services.

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CLOUD (5)
TESTING (5)
DEINTERLACING (4)
ASSURANCE (3)
BUSINESS (3)
CERTIFICATION (3)
DEMOSAICKING (3)
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SOA (3)
COLOR INTERPOLATION (2)
COMPUTATIONAL MODELING (2)
CONTEXT (2)
ELECTRONIC MAIL (2)
FUZZY LOGIC (2)
GEOLOCATION (2)
IMAGE PROCESSING (2)
INTERNET OF THINGS (2)
INTERPOLATION (2)
MODEL-BASED TESTING (2)
MONITORING (2)
OPENSTACK (2)
PSNR (2)
SECURITY CERTIFICATION (2)
SERVICE ORIENTED ARCHITECTURE (2)
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3G NETWORKS (1)
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ADAPTATION MODELS (1)
AGENT PARADIGM (1)
AMBIENT INTELLIGENCE (1)
ANTENNA MEASUREMENTS (1)
AR (1)
ARTIFICIAL INTELLIGENCE (1)
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AUGMENTED REALITY APPLICATIONS (1)
AUGMENTED REALITY IPHONE4 (1)
AUGMENTED REALITY ON MOBILE DEVICES (1)
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CLOUDS (1)
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EDGE-BASED LINEAR AVERAGE METHOD (1)
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EVOLVING SERVICES (1)
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FACE (1)
FACE DETECTION (1)
FEATURE EXTRACTION (1)
FILTER DESIGN (1)
FORMATTING (1)
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INFONA - science communication portal

Search results for: Marco Anisetti

An IoT‐based human detection system for complex industrial environment with deep learning architectures and transfer learning

A trust assurance technique for Internet of things based on human behavior compliance

Image enhancement in embedded devices for internet of things

A polling access control with exhaustive service in wireless body area networks for mobile healthcare using the sleeping schema

Special issue on real-time image and video processing in mobile embedded systems

Reconstruction of missing color-channel data using a three-step back propagation neural network

Real-time image processing systems using fuzzy and rough sets techniques

Computational intelligence for multimedia and industrial applications

A Security Benchmark for OpenStack

Lossless compression for aurora spectral images using fast online bi-dimensional decorrelation method

Towards Transparent and Trustworthy Cloud

Bayer Demosaicking With Polynomial Interpolation

Locally estimated heterogeneity property and its fuzzy filter application for deinterlacing

A Cost-Effective Certification-Based Service Composition for the Cloud

Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction

Assessing Separation of Duty Policies through the Interpretation of Sampled Video Sequences: A Pair Programming Case Study

Towards Pattern-Based Reliability Certification of Services

Designing Rough Sets Attributes Reduction Based Video Deinterlacing System

Toward Exploiting Location-Based and Video Information in Negotiated Access Control Policies

ASSERT4SOA: Toward Security Certification of Service-Oriented Applications

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