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International Conference on computer engineering, Network and Intelligent Multimedia (CENIM)

作者： Bima Sena Bayu Dewantara Jun Miura Dept. of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Dept. of Computer Science and Engineering Toyohashi University of Technology Toyohashi Japan

ISBN: (纸本)9781728129662

Tracking a target person is a vital job in human-robot interaction. The robot must always notice a particular person as the interaction target partner. However, it is sometimes very hard to distinguish the target person because there are many other persons around the target. In this paper, we propose a target person detection and tracking system by combining person's frontal photometric features such as face and clothing color, and coordinate of the person's location in the real world. We apply an illumination invariant face recognition method named OptiFuzz. Hue-Saturation histogram (HS-histogram) is used to obtain the clothing color feature, and a location of the person is acquired from a calibrated single camera view. All these features are then fed into an algorithm of Naive Bayes to discriminate between the target person and others. Our experimental results indicate a successful outcome as it is always possible to detect and track the target person.

关键词： human-robot interaction target partner illumination invariant face recognition HS-histogram Naive Bayes Persons Human machine interaction Targets Photomechanics relative positioning

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Measuring affective states from technical debt: A psychoempirical software engineering experiment

arXiv

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arXiv 2020年

作者： Olsson, Jesper Risfelt, Erik Besker, Terese Martini, Antonio Torkar, Richard Chalmers and University of Gothenburg Dept. of Computer Science and Engineering GöteborgSE-412 96 Sweden Wallenberg Research Centre at Stellenbosch University Stellenbosch South Africa University of Oslo Dept. of Informatics OsloN-0373 Norway

Software engineering is a human activity. Despite this, human aspects are under-represented in technical debt research, perhaps because they are challenging to evaluate. This study's objective was to investigate the relationship between technical debt and affective states (feelings, emotions, and moods) from software practitioners. Forty participants (N = 40) from twelve companies took part in a mixed-methods approach, consisting of a repeated-measures (r = 5) experiment (n = 200), a survey, and semi-structured interviews. The statistical analysis shows that different design smells (strong indicators of technical debt) negatively or positively impact affective states. From the qualitative data, it is clear that technical debt activates a substantial portion of the emotional spectrum and is psychologically taxing. Further, the practitioners' reactions to technical debt appear to fall in different levels of maturity. We argue that human aspects in technical debt are important factors to consider, as they may result in, e.g., procrastination, apprehension, and burnout. Copyright © 2020, The Authors. All rights reserved.

关键词： Surveys

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Enhanced design matrix for task-related fMRI data analysis

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NeuroImage 2021年 245卷 118719-118719页

作者： Morante, Manuel Kopsinis, Yannis Chatzichristos, Christos Protopapas, Athanassios Theodoridis, Sergios Dept. of Electronic Systems Aalborg University Denmark Computer Technology Institutes & Press “Diophantus” (CTI) Patras Greece LIBRA MLI Ltd Edinburgh United Kingdom Dept. Electrical Engineering (ESAT) Dynamical Systems Signal Processing and Data Analytics (STADIUS) KU Leuven Belgium Dept. of Special Needs Education of the University of Oslo Norway Dept. of Informatics and Telecommunications of the National and Kapodistrian University of Athens Greece

In this paper, we introduce a novel methodology for the analysis of task-related fMRI data. In particular, we propose an alternative way for constructing the design matrix, based on the newly suggested Information-Assisted Dictionary Learning (IADL) method. This technique offers an enhanced potential, within the conventional GLM framework, (a) to efficiently cope with uncertainties in the modeling of the hemodynamic response function, (b) to accommodate unmodeled brain-induced sources, beyond the task-related ones, as well as potential interfering scanner-induced artifacts, uncorrected head-motion residuals and other unmodeled physiological signals, and (c) to integrate external knowledge regarding the natural sparsity of the brain activity that is associated with both the experimental design and brain atlases. The capabilities of the proposed methodology are evaluated via a realistic synthetic fMRI-like dataset, and demonstrated using a test case of a challenging fMRI study, which verifies that the proposed approach produces substantially more consistent results compared to the standard design matrix method. A toolbox extension for SPM is also provided, to facilitate the use and reproducibility of the proposed methodology. © 2021

关键词： Dictionary learning fMRI General linear model (GLM) Semi-blind Subject variability

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Adopting an Open Smart City Platform: A Survey

Adopting an Open Smart City Platform: A Survey

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IEEE International Smart Cities Conference (ISC2)

作者： Achilleas Achilleos Christos Markides Andreas Konstantinidis Ioannis Giorkas Georgia M. Kapitsaki Christos Mettouris George A. Papadopoulos Dept. of Electrical and Computer Engineering and Informatics Frederick University Cyprus Nicosia Cyprus Dept. of Computer Science University of Cyprus Nicosia Cyprus

ISBN: (数字)9781728108469

ISBN: (纸本)9781728108476

Many municipalities adopt nowadays smart technologies offering smart services to their citizens towards the vision of a smart city. Different research works have revealed that the realisation of a smart city and its smart services creates a complex, multi-layered, and multi-dimensional environment with multiple stakeholders. In these surveys, technology requirements have been defined and several platforms were examined, and in most cases reference architectures have been proposed. However, these surveys mostly focus on the technology, while city governance is not effectively addressed via the requirements defined. In this work, we claim that the main goal should be to support digital transformation using technologies for developing smart, creative, innovative, and sustainable cities. Thus, eight open source platforms have been analysed against a set of governance-based and technology-driven requirements extracted and refined from earlier works. This survey provides a reference framework that enables policy makers, developers, researchers, and end-users to adopt a city governance strategy via an open source platform with the required technological features to realise a smart city research, investment, and innovation project.

关键词： Smart cities Stakeholders Tools Actuators Licenses Authentication

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The Expressive Power of Higher-Order Datalog

arXiv

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arXiv 2019年

作者： Charalambidis, Angelos Nomikos, Christos Rondogiannis, Panos Institute of Informatics and Telecommunications NCSR "Demokritos" Greece Dept of Computer Science and Engineering University of Ioannina Greece Dept of Informatics and Telecommunications National and Kapodistrian University of Athens Greece

A classical result in descriptive complexity theory states that Datalog expresses exactly the class of polynomially computable queries on ordered databases (Papadimitriou 1985;Grädel 1992;Vardi 1982;Immerman 1986;Leivant 1989). In this paper we extend this result to the case of higher-order Datalog. In particular, we demonstrate that on ordered databases, for all k ≥ 2, k-order Datalog captures (k − 1)-EXPTIME. This result suggests that higher-order extensions of Datalog possess superior expressive power and they are worthwhile of further investigation both in theory and in practice. This paper is under consideration for acceptance in TPLP. Copyright © 2019, The Authors. All rights reserved.

关键词： Formal logic

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QoS and RMA performance analysis for wireless mesh network implementation 1

QoS and RMA performance analysis for wireless mesh network i...

引用

1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Aji, Ahmad Fauzan Hatta, Puspanda Wihidiyat, Endar Suprih Dept. of Informatics and Computer Engineering Education Universitas Sebelas Maret Surakarta Indonesia

ISBN: (纸本)9781538609545

Due to the static characteristic of wired network that cannot be expand dynamically, and the network infrastructure require dynamic topology such as WLAN, WMN. In addition, the development of wireless devices make users prefer to use wireless networks than wired networks. In this article, we will discuss the implementation of WMN with HWMP routing protocol and WMN performance analysis based on QoS and RMA standards. The parameters (Qos and RMA) will be comparing with Nine Availability standards. The test scenario is based on the number of users and the operational time of WMN. The test results shown that WMN has QoS performance on each parameter are as follows : packet loss 0%, delay 28 ms, jitter 3.7 ms and throughput 1058 kbps and RMA performance with Nines Availability standard with one nine and half nine category with 95% availability. © 2018 IEEE.

关键词： Quality of service

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An effective MRI brain image segmentation using joint clustering (K-means and fuzzy C-means)

An effective MRI brain image segmentation using joint cluste...

引用

2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018

作者： Almahfud, Mustofa Alisahid Setyawan, Robert Sari, Christy Atika Setiadi, De Rosal Ignatius Moses Rachmawanto, Eko Hari Dept Informatics Engineering Faculty of Computer Science Dian Nuswantoro University Semarang Indonesia

ISBN: (纸本)9781538674222

This study proposes a segmentation method in human brain MRI images by using a combination of two K-Means and Fuzzy C-Means (FCM) grouping methods to detect brain tumors. K-Means can detect optima and local outliers well and quickly because it is more sensitive to color differences. But the results of the K-Means cluster can be different each time the program starts. To overcome this problem, the results of K-means are clustered again with FCM to classify the convex shape based on the edge so that the cluster results better and the calculation process becomes lighter. Morphology and noise removal processes are also proposed at the preprocessing stage to improve accuracy. In this way the detection results are more effective and accurate with a faster calculation process. Based on the experimental results on 62 brain MRI images obtained an accuracy of 91.94%. This result is far more accurate than the K-Means or FCM methods and also the reverse FCM-K-Means method. © 2018 IEEE.

关键词： Image segmentation

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Joint intra- and inter-datacenter network optimization and orchestration

Joint intra- and inter-datacenter network optimization and o...

引用

Optical Fiber Communication Conference, OFC 2018

作者： Landi, G. Capitani, M. Kretsis, A. Kokkinos, P. Christodoulopoulos, K. Varvarigos, E. Nextworks Pisa Italy Dept. of Computer Engineering and Informatics University of Patras Greece

We present a hierarchical orchestration platform for inter-domain datacenter networks that includes hybrid optical-electrical intra-datacenter networking and inter-datacenter networking utilizing elastic technologies.... 详细信息

ISBN: (纸本)9781943580385

关键词： Optical fiber communication

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Air-to-air communications beyond 5G: A novel 3D CoMP transmission scheme

arXiv

引用

arXiv 2020年

作者： Li, Yan Miridakis, Nikolaos I. Tsiftsis, Theodoros A. Yang, Guanghua Xia, Minghua School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China Southern Marine Science and Engineering Guangdong Laboratory Zhuhai519082 China Institute of Physical Internet School of Electrical and Information Engineering Jinan University Zhuhai519070 China Dept. of Informatics and Computer Engineering University of West Attica 12243 Greece Dept. of Informatics University of Piraeus 18534 Greece School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China Institute of Physical Internet Jinan University Zhuhai519070 China

In this paper, a novel 3D cellular model consisting of aerial base stations (aBSs) and aerial user equipments (aUEs) is proposed, by integrating the coordinated multi-point (CoMP) transmission technique with the theory of stochastic geometry. For this new 3D architecture, a tractable model for aBSs' deployment based on binomial Delaunay-tetrahedralization is developed, which ensures seamless coverage for a given space. In addition, a versatile and practical frequency allocation scheme is designed to eliminate the inter-cell interference effectively. Based on this model, performance metrics including the ergodic data rate and coverage probability are derived for two types of aUEs: i) general aUE (i.e., an aUE having distinct distances from its serving aBSs) and ii) the worst-case aUE (i.e., an aUE having equal distances from its serving aBSs). Simulation and numerical results demonstrate that the proposed approach emphatically outperforms the conventional binomial-Voronoi tessellation without CoMP. Insightfully, it provides a similar performance as to the binomial-Voronoi tessellation which utilizes the conventional CoMP scheme;yet, introducing a considerably reduced computational complexity and backhaul/signaling overhead. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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An improved simulation model for pedestrian crowd evacuation

TechRxiv

引用

TechRxiv 2020年

作者： Muhammed, Danial A. Rashid, Tarik A. Alsadoon, Abeer Bacanin, Nebojsa Fattah, Polla Mohammadi, Mokhtar Banerjee, Indradip Computer Department College of Science University of Sulaimani KRG Sulaymaniyah46001 Iraq Computer Science and Engineering Department University of Kurdistan Hewler KRG Erbil44001 Iraq Department of Information Technology School of Computing and Mathematics Charles Sturt University Bathurst SydneyNSW2795 Australia Faculty of Informatics and Computing Vice-dean Singidunum University Belgrade11000 Serbia Software and Informatics Engineering Dept Engineering College Salahaddin University-Erbil KRG Erbil44001 Iraq Department of Information Technology Lebanese French University KRG Erbil44001 Iraq Department of Computer Science and Engineering University Institute of Technology The University of Burdwan West Bengal Burdwan713101 India

This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it with the model. This method enables the developed model to find a more appropriate evacuation area design, among others regarding safety due to selecting the best exit door location among many suggested locations. This method is completely dependent on the selected model's output, i.e., the evacuation time for each individual within the evacuation process. The new method finds an average of the evacuees’ evacuation times of each exit door location;then, based on the average evacuation time, it decides which exit door location would be the best exit door to be used for evacuation by the evacuees. To validate the method, various designs for the evacuation area with various written scenarios were used. The results showed that the model with this new method could predict a proper exit door location among many suggested locations. Lastly, from the results of this research using the integration of this newly proposed method, a new capability for the selected model in terms of safety allowed the right decision in selecting the finest design for the evacuation area among other designs. © 2020, CC BY.

关键词： Location

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