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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Ilya Grishin Van Dai Pham Darina Okuneva Ruslan Kirichek Dept. of Communication Networks and Data Transmission Bonch-Bruevich St. Petersburg State University of Telecommunications Saint Petersburg Russia Dept. of Software Engineering and Computer Science Bonch-Bruevich St. Petersburg State University of Telecommunications Saint Petersburg Russia Bonch-Bruevich St. Petersburg State University of Telecommunications Saint Petersburg Russia V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

ISBN: (数字)9781728192819

ISBN: (纸本)9781728192826

Nowadays, wireless sensor networks (WSN) are widely used for various Internet of Things applications. The sensor nodes are usually deployed randomly in the field. Thus, searching for node coordinates is one of the requirements to construct the network structure. With knowing distances between nodes and the coordinates of anchor nodes in a certain network fragment, we propose a method based on the multidimensional scaling for searching for desired node coordinates.

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Design of software Rejuvenation for CPS Security Using Invariant Sets

Design of Software Rejuvenation for CPS Security Using Invar...

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American Control Conference (ACC)

作者： Raffaele Romagnoli Bruce H. Krogh Bruno Sinopoli Dept. of Electrical and Computer Engineering Carnegie Mellon University (CMU) Pittsburgh PA USA CMU Software Engineering Institute Department of Electrical and Systems Engineering Washington University St. Louis MO USA

ISBN: (纸本)9781538679012;9781538679265

software rejuvenation has been proposed as a strategy to protect cyber-physical systems (CSPs) against unanticipated and undetectable cyber attacks. The basic idea is to refresh the system periodically with a secure and trusted copy of the online software so as to eliminate all effects of malicious modifications to the run-time code and data. This paper considers software rejuvenation design from a control-theoretic perspective. Invariant sets for the Lyapunov function for the safety controller are used to derive bounds on the time that the CPS can operate in mission control mode before the software must be refreshed. With these results it can be guaranteed that the CPS will remain safe under cyber attacks against the run-time system. The approach is illustrated using simulation of the nonlinear dynamics of a quadrotor system. The concluding section discusses directions for further research.

关键词： software Safety Cyberattack Clocks software algorithms Timing

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Towards Self-Explainable Cyber-Physical Systems

Towards Self-Explainable Cyber-Physical Systems

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ACM/IEEE International Conference on Model Driven engineering Languages and Systems Companion

作者： Mathias Blumreiter Joel Greenyer Francisco Javier Chiyah Garcia Verena Klos Maike Schwammberger Christoph Sommer Andreas Vogelsang Andreas Wortmann Institute for Software Systems Hamburg University of Technology Software Engineering Group Leibniz Universitat Hannover Heriot-Watt University Software and Embedded Systems Engineering Technische Universitat Berlin Department of Computing Science University of Oldenburg Heinz Nixdorf Institute and Dept. of Computer Science Paderborn University Automated Systems Engineering Technologies Technische Universitat Berlin Software Engineering RWTH Aachen University

ISBN: (纸本)9781728151267

With the increasing complexity of Cyber-Physical Systems, their behavior and decisions become increasingly difficult to understand and comprehend for users and other stakeholders. Our vision is to build self-explainable systems that can, at run-time, answer questions about the system's past, current, and future behavior. As hitherto no design methodology or reference framework exists for building such systems, we propose the Monitor, Analyze, Build, Explain (MAB-EX) framework for building self-explainable systems that leverage requirements- and explainability models at run-time. The basic idea of MAB-EX is to first Monitor and Analyze a certain behavior of a system, then Build an explanation from explanation models and convey this EXplanation in a suitable way to a stakeholder. We also take into account that new explanations can be learned, by updating the explanation models, should new and yet un-explainable behavior be detected by the system.

关键词： Explainability Self-adaptive systems Cyber-physical systems Adaptive systems Cyber-physical systems MONITOR Runtime Buildings

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Breast Density Classification Using Multifractal Spectrum with Histogram Analysis

Breast Density Classification Using Multifractal Spectrum wi...

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International Conference on Image and Vision Computing New Zealand, IVCNZ

作者： Haipeng Li Ramakrishnan Mukundan Shelley Boyd Dept. of Computer Science and Software Engineering University of Canterbury Christchurch New Zealand Canterbury Breastcare St. George 's Medical Center Christchurch New Zealand

This paper presents a novel method for breast density classification in digital mammograms using multifractal spectrum and histogram analysis. The multifractal spectrum is used to capture fibroglandular texture features in sub-images extracted from the breast region of mammograms, and feature vectors extracted from multifractal spectrum are used to classify sub-images into fat or dense category and to calculate breast percent density. For enhancing texture features and improving classification accuracy of breast density, standard deviation and skewness analysis of histogram on mammograms are considered. A full-field digital mammography (FFDM) dataset INbreast is used to test our proposed method and experimental results of breast density estimation outperform other reported methods, giving a higher classification accuracy (83.33%).

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Faster RCNN Detection Based OpenCV CSRT Tracker Using Drone Data

Faster RCNN Detection Based OpenCV CSRT Tracker Using Drone ...

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Xurshedjon Farhodov Oh-Heum Kwon Kyung Won Kang Suk-Hwan Lee Ki-Ryong Kwon Dept. of IT Convergence and Application Engineering Pukyong National University Busan South Korea Dept.of Computer Software Engineering Dongeui University Busan South Korea Dept. of Information & Communication Engineering Tongmyong University Busan South Korea Dept.of Information Security Tongmyong University Busan South Korea

ISBN: (数字)9781728125640

ISBN: (纸本)9781728125657

Object tracking is one of the well-known topic in computer Vision sphere with challenging and problematic tasks that frames come with problems like overlapping, camera motion blur, changing object appearance, environmental variations and so on. Using OpenCV based CSRT (Channel and Spatial Reliability Tracking) tracker itself, without integration object detection part may face problems which mentioned above. To overcome that challenges we integrated deep learning based object detection with CSRT tracker and got better tracking results.

关键词： Target tracking Object detection Object tracking Training Machine learning Reliability

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State-of-the-art genomic data compression technology 10

State-of-the-art genomic data compression technology

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10th International Conference on Bioinformatics and Computational Biology, BICOB 2018

作者： Li, Dunling Chang, Lin-Ching BTS Software Solutions ColumbiaMD United States Dept. of Electrical Engineering and Computer Science Catholic University of America WashingtonDC United States

ISBN: (纸本)9781943436118

The demand for efficient genomic data storage and distribution has increased substantially as advanced high-throughput sequencing has dramatically reduced costs and processing time required for genomic data collection. However, these advances generate a new challenge with data storage, transmission, and manipulation. To wit, the sizes of genomic databases are often very huge;for example, the genomic data in Cancer Genome Atlas database is over 2.5 petabytes (2.5 million gigabytes). Data compression would be the key to meet the technical and cost challenges of genomic data storage, transmission, and access for analysis. Recently, there has been growing interest in developing high-performance compression tools designed specifically for genomic data. This paper provides an overview of state-of-the-art genomic data compression technology, the commonly used tools, and their performance. © 2018 ISCA, BICOB.

关键词： Genome

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The Effect of Cybersickness of an Immersive Wheelchair Simulator

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Procedia computer Science 2019年 160卷 665-670页

作者： Débora P. Salgado Thiago B. Rodrigues Felipe R. Martins Eduardo L.M. Naves Ronan Flynn Niall Murray Assistive Technology Lab Faculty of Electrical Engineering“ Federal University of Uberlandia Uberlandia MG 38400-902 Brazil Dept. of Computer Science & Software Engineering Athlone Institute of Technology Athlone Co. Westmeath N37 HD68 Ireland

A key challenge that Immersive applications have to overcome is cybersickness. Cybersickness is particularly prevalent in dynamic applications such as vehicles simulators. The work presented here aims to understand the cause of cybersickness symptoms in an assistive technology (AT) application, the virtual wheelchair training simulator. This evaluation is performed in terms of errors made during experience and post-experience Simulator Sickness Questionnaire (SSQ). The performance metrics analyzed are time to complete the proposal task and number of collisions (errors/mistakes). The post-experience questionnaires (subjective measurements) collected the user’s experience in terms of simulator sickness by applying the Simulator Sickness Questionnaire (SSQ) and immersion questions. The experiments were conducted with 10 participants. In terms of results, analysis of human factors reveals that the average cybersickness score is slightly higher for women compared to men. However, these differences were not statistically significant. There was an inverse correlation between cybersickness symptoms and task performance as well as between cybersickness symptoms and immersion.

关键词： Cybersickness Immersive Technologies Wheelchair Simulator Assistive Technologies

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Hardware-software complex detect smoke and fire from video images

Hardware-software complex detect smoke and fire from video i...

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Rustam Khamdamov Khoshim Rakhmanov Timur Sakiyev dept. Data Processing Systems Tashkent University of Information Technologies named after Al-Kharezmi Tashkent Uzbekistanline dept. Computer Engineering Tashkent University of Information Technologies named after Al-Kharezmi Tashkent Uzbekistanline dept. Software Engineering Tashkent University of Information Technologies named after Al-Kharezmi Tashkent Uzbekistanline

ISBN: (数字)9781728125640

ISBN: (纸本)9781728125657

This article describes the hardware-software complex for the recognition of smoke and fire from CCTV cameras. The article is conventionally divided into two parts in the first part of the article devoted to hardware devices: characteristics and advantages of the computing node of the module. The second part of the article is devoted to the software. In this paper, we used method segmentation for the HSV color space and the detection method based on the YOLOV2 (You Only Look Once) algorithm for smoke and fire recognition.

关键词： Fires Cameras Image color analysis Neural networks Image recognition software Training

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Constructing a Smart Home Control System with the Internet of Things 7

Constructing a Smart Home Control System with the Internet o...

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7th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2018

作者： Hsu, Huan-Po Yu, Kun-Ming Ouyang, Wen Cheng Jie, X. Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Dept. of Computer Science Information Engineering Chung-Hua University Hsinchu Taiwan Faculty of Computer and Software Engineering Huaiyin Institute of Technology Jiangsu China

ISBN: (纸本)9781538656488

The development of Internet of Things (IoT) makes the application of smart homes grow rapidly. It is very popular to install smart appliances in the house. However, building a smart control system at home not only costs a lot but also has many limitations. For this reason, this study proposes a smart homes control system to easily integrate IoT, WSN, smart robot and single-board computer to implement smart home applications. We use wireless technology and automatic equipment to avoid excessive communication cable and to make the house more intelligent to keep in-house movement unimpeded and indoor space tidy and to let appliance adjust appropriate environment settings automatically. This system brings intelligence and convenience to home, making living environment more comfortable. © 2018 IEEE.

关键词： Wireless sensor networks

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Photo tagging tool for rapid and detailed post-earthquake structural damage identification 11

Photo tagging tool for rapid and detailed post-earthquake st...

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11th National Conference on Earthquake engineering 2018: Integrating Science, engineering, and Policy, NCEE 2018

作者： Behrouzi, A. Pantoja, M. Dept. of Architectural Engineering California Polytechnic State University San Luis ObispoCA93407 United States Dept. of Computer Science and Software Engineering California Polytechnic State University San Luis ObispoCA93407 United States

ISBN: (纸本)9781510873254

A significant task in earthquake reconnaissance is to conduct rapid and accurate assessments of damage to built infrastructure. This can be accomplished, in part, by analyzing the large volumes of high-resolution image data collected after a seismic event. However, detailed image tagging remains a task for trained human volunteers, which is both time-intensive and error prone. The authors developed a software tool to simplify and standardize the process of assigning damage and structure pairs to sub-regions of images. The goal of the tool is to facilitate the tagging of thousands of images from historic and recent earthquakes to train a deep learning (DL) algorithm to automatically identify damage observed in civil infrastructure. DL is a subset of machine learning that can be used for image classification problems. This process requires thousands of expertly tagged images for robust and automatic visual recognition capabilities. In detecting specific structural damage after an earthquake, images must have explicit tags for the building material, damage and location, as well as the impacted structural members. To obtain such a descriptive set of images, there is a need for a task-specific tool that facilitated tagging of the most common post-earthquake structural damage types. The resulting software solution consists of a simple user interface that displays the most frequently used damage and structural member tags as pre-loaded radio buttons and includes the flexibility for users to customize tags when necessary. The program generates marked-up images that show location-specific damage and structural member labels, as well as output files in the PASCAL Visual Object Classes (VOC) format that are compatible with TensorFlow and most DL frameworks, such that tagged images are ready to be used for training a DL algorithm. © 2018 11th National Conference on Earthquake engineering 2018, NCEE 2018: Integrating Science, engineering, and Policy. All rights reserved.

关键词： Earthquakes

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