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检索条件"任意字段=3rd IAPR International Conference on Pattern Recognition in Bioinformatics"

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3rd Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2017, 1st international Workshop on Security and Privacy Requirements Engineering, SECPRE 2017, Both workshops were co-located with 22nd European Symposium on Research in Computer Security, ESORICS 2017

3rd Workshop on Security of Industrial Control Systems and C...

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3rd Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2017, 1st international Workshop on Security and Privacy Requirements Engineering, SECPRE 2017, Both workshops were co-located with 22nd European Symposium on Research in Computer Security, ESORICS 2017

ISBN: (纸本)9783319728162

The proceedings contain 17 papers. The special focus in this conference is on Security of Industrial Control Systems and Cyber-Physical Systems. The topics include: CRBP-OpType: A constrained approximate search algorithm for detecting similar attack patterns;multistage downstream attack detection in a cyber physical system;A UML profile for privacy-aware data lifecycle models;evaluation of a security and privacy requirements methodology using the physics of notation;what users want: Adapting qualitative research methods to security policy elicitation;an anti-pattern for misuse cases;decision-making in security requirements engineering with constrained goal models;Development of an embedded platform for secure CPS services;Introducing usage control in MQTT;towards security threats that matter;a methodology to assess vulnerabilities and countermeasures impact on the missions of a naval system;STRIDE to a secure smart grid in a hybrid cloud;Stealthy deception attacks against SCADA systems;on ladder logic bombs in industrial control systems;enforcing memory safety in cyber-physical systems.

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Camera based real time fall detection using pattern classification 3rd

Camera based real time fall detection using pattern classifi...

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3rd international conference on Biomedical and Health Informatics, ICBHI 2017

作者： Macaš, M. Lesoin, S. Périn, A. Czech Institute of Informatics Robotics and Cybernetics in Prague Czech Technical University Zikova street 1903/4 Prague Czech Republic Institut supérieur de l’électronique et du Numérique Brest France

ISBN: (纸本)9789811074189

A complete real-time fall detection system is presented consisting of camera data acquisition, image processing, pattern recognition, fall alarming, and web interface. Classifiers are trained using only three input features extracted from each video frame using image processing. Among linear and quadratic Bayes, Parzen classifier and 3-nearest neighbors classifier, the last one performed best on a testing set from sensitivity, specificity and area under receiver operating characteristic point of view. Such frame classification is further used in a simple rule triggering the fall alarm process. The fall alarm tested in a real time scenario with 40 falls performed by four persons detected all the falls while having one false positive case. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Cameras

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Personalized Mobile Learning System via Smart Glasses 3rd

Personalized Mobile Learning System via Smart Glasses

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3rd European-Alliance-for-Innovation (EAI) international conference on IoT as a Service (IoTaaS)

作者： Tsai, Yi-Ting Yu, Shih-Jou Chen, Xin-Yen Chen, Oscal Tzyh-Chiang Sun, Jerry Chih-Yuan Huang, Ching-Chun Natl Chung Cheng Univ Dept Elect Engn Chiayi Taiwan Natl Chiao Tung Univ Inst Educ Hsinchu Taiwan

ISBN: (纸本)9783030004101;9783030004095

This work proposes a personalized mobile learning system using smart glasses which include outward and inward facing cameras. By using the outward facing camera, the proposed system recognizes the QR code, and then discovers the front view of a wearer. Additionally, our system employs an inward facing camera to capture eye images, find out the centers of irises, and then derive visual focal points. According to the exhibit of high interest, the audiovisual clips associated with the baseball background knowledge and stories were designed for learners visiting the baseball museum. The experimental results reveal that the proposed system can achieve a view angel deviation below 3.20 degrees, and identify the 13.5 cm x 13.5 cm QR code at a distance of 2.3 m and a view angle of 40 degrees. Therefore, the personalized mobile learning system proposed herein effectively provides learners with attention tracking, interest cultivation, and immersive engagement.

关键词： Mobile learning Smart glasses Eye tracking pattern recognition Visual focal point QR code

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3rd international conference on Biomedical and Health Informatics, ICBHI 2017

3rd International Conference on Biomedical and Health Inform...

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3rd international conference on Biomedical and Health Informatics, ICBHI 2017

ISBN: (纸本)9789811074189

The proceedings contain 43 papers. The special focus in this conference is on Biomedical and Health Informatics. The topics include: Towards harmonized data processing in SMBG;notarization of knowledge retrieval from biomedical repositories using blockchain technology;Gap analysis for information security in interoperable solutions at a systemic level: The KONFIDO approach;Identification of barriers and facilitators for eHealth Acceptance: The KONFIDO study;A personalized cloud-based platform for AAL support to cognitively impaired elderly people;enhanced healthcare system based on mobile communication;Experience of using the WELCOME remote monitoring system on patients with COPD and comorbidities;adipose tissue as a biomarker in data mining predictive models of metabolic pathophysiologies;portable near-infrared spectroscopy for detecting peripheral arterial occlusion;epileptic seizure prediction with stacked auto-encoders: Lessons from the evaluation on a large and collaborative database;physiological monitoring of cold-air stimulated rhinitis;association between SpO2signal characteristics and sleep architecture with insulin resistance in patients with obstructive sleep apnea syndrome;Preprocessing and filtration techniques of BSPM signals in a small-scale study;blood vessel segmentation from microcirculation images;active learning for semi-automated sleep scoring;human fall detection from acceleration measurements using a recurrent neural network;optimal threshold selection for acceleration-based fall detection;camera based real time fall detection using pattern classification;Epileptic seizures classification based on long-term EEG signal wavelet analysis;heartrate variability comparison between electrocardiogram, photoplethysmogram and ballistic pulse waveforms at fiducial points;Deep learning techniques on sparsely sampled multichannel data—Identify deterioration in ICU patients;emotion recognition from haptic touch on android device screens.

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3rd Annual international Symposium on Emerging Technologies for Education, SETE 2018 held in conjunction with ICWL 2018

3rd Annual International Symposium on Emerging Technologies ...

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3rd Annual international Symposium on Emerging Technologies for Education, SETE 2018 held in conjunction with ICWL 2018

ISBN: (纸本)9783030035792

The proceedings contain 26 papers. The special focus in this conference is on Emerging Technologies for Education. The topics include: A corpus-based study on the distribution of business terms in business english writing;dimension of a learning organisation in the it sector in the czech republic – case study;economic aspects of corporate education and use of advanced technologies;Investigating the validity of using automated writing evaluation in EFL writing assessment;Emerging technologies and assessment preferences in learning english through CLIL/EMI;assessment framework of english language proficiency for talent seeking platforms at pearl river delta region;Study of future EFL teachers’ ICT competence and its development under the TPCK framework;a bibliometric analysis of the research status of the technology enhanced language learning;evaluation of cooperative learning in graduate course of natural language processing;adaptive learning system for foreign language writing based on big data;protein complex mention recognition with web-based knowledge learning;towards a knowledge management model for online translation learning;designing a platform-facilitated and corpus-assisted translation class;Users’ stickiness to english vocabulary learning APPs in China;website and literature teaching: Teaching experiment of literary texts at the beginning of german studies in China;use corpus keywords to design activities in business english instruction;towards an electronic portfolio for translation teaching aligned with china’s standards of english language ability;Implementation of assessment for learning (AFL) in blackboard LMS and its reflection on tertiary students’ second language performance;a service-oriented architecture for student modeling in peer assessment environments.

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A Constructive Genetic Algorithm for LBP in Face recognition 3

A Constructive Genetic Algorithm for LBP in Face Recognition

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3rd international conference on pattern Analysis and Image Analysis (IPRIA)

作者： Nazari, Ali Shouraki, Saeed Bagheri Sharif Univ Technol ACL Lab Tehran Iran

ISBN: (纸本)9781509064540

LBP coefficients are essential and determine the priority of gray differences. The objectives of this paper are to reveal this and propose a method for finding an optimal priority through the genetic algorithm. On the other hand, the genetic operators such as initialization and cross-over operators, generate invalid coefficients, defective chromosomes. This paper also recommends a rectifying method for correcting defective chromosomes. Results on the FERET and Extended Yale B datasets indicate that the proposed method has markedly higher recognition rates than LBP.

关键词： face recognition local binary pattern genetic algorithm constructive operator

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A Real-Time recognition Method for Telemetry Status of Spacecraft in-Orbit Based on Neural Network pattern recognition

A Real-Time Recognition Method for Telemetry Status of Space...

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international conference on Mechanical, Control and Computer Engineering (ICMCCE)

作者： Xiaopeng Zhang Wei Qin Haixiao Zhuang Yongfu Guo Ping Yang Hongbo Han Yufei Liu Bing Chen Zhixin Chen China Academy of Space Technology Beijing China Xi ‘an satellite measurement and control center Xi'an China School of Logistics Beijing Wuzi University Beijing China

Aiming at the problem of real-time recognition of in-orbit spacecraft state, a real-time recognition method for spacecraft state in-orbit based on neural network pattern recognition is proposed by taking the telemetry data of solar array as the analysis object. This method uses every signal period as a unit to conduct telemetry in-orbit identification. Through a large number of data tests, the results verify the effectiveness of the method and meet the requirements of in-orbit monitoring for spacecraft with abnormal state.

关键词： Biological neural networks pattern recognition Space vehicles Telemetry Training Real-time systems Neurons

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pattern based integration of internet of things systems 3rd

Pattern based integration of internet of things systems

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3rd international conference on Internet of Things, ICIOT 2018 Held as Part of the Services conference Federation, SCF 2018

作者： Tekinerdogan, Bedir Köksal, Ömer Wageningen University Wageningen Netherlands ASELSAN Research Center Ankara Turkey

ISBN: (纸本)9783319943695

The Internet of Things (IoT) is the network of physical devices embedded with sensors, actuators, and connectivity which enables these objects to connect and exchange data. Cleary the IoT has a pervasive impact on the society and an increasing number of systems are now based on IoT. One of the key challenges in IoT is coping with the heterogeneous set of systems and the integration of these systems in the same communication network. Several studies have focused on this integration aspect and addressed this at different levels of abstraction. Unfortunately, the different approaches are scattered and fragmented over the different studies and it is not clear how to cope with the integration concern within a single IoT system but also across multiple IoT systems that need to be integrated. To this end this chapter provides a comprehensive and systematic approach for identifying the key integration concerns in the IoT system architecture and describing the currently provided solutions. For this we adopt a pattern-based approach in which generic architecture solution structures are provided to these recurring integration concerns. We illustrate our approach for addressing the integration of IoT based systems within the context of smart city engineering. © Springer international Publishing AG, part of Springer Nature 2018.

关键词： Internet of things

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Myoelectric Controlled Thumb

Myoelectric Controlled Thumb

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international conference for Convergence in Technology

作者： Yash Patel Sharmila Nageswaran Department of Sensor and Biomedical Technology School of Electronics Engineering Vellore

Our human fingers are provided specific roles which finally results into various hand motions and functions. The thumb plays a special role because it takes part in several activities. So, a thumb loss because of traumatic accidents or other reasons can prove terrible because appropriate functions of the hand will get sternly restricted. Prosthetic thumb is developed, for solving this problem, and to be worn to counterpart functions of the lost thumb. The control strategy of the prosthetic part is completely based on the surface electromyogram (sEMG) signals to control it. This paper uses the electrical activity of the muscles (EMG) as control signals in a pattern recognition control system. The paper proposes a system for pattern recognition of EMG signals using MATLAB and ANN.

关键词： ANN - Artificial neural networks EMG -Electromyogram Prosthetic Rehabilitation Signal classification pattern recognition

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Persian Logo recognition using Local Binary patterns 3

Persian Logo Recognition using Local Binary Patterns

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3rd international conference on pattern Analysis and Image Analysis (IPRIA)

作者： Shirazi, Afsoon Asghari Dehghani, Alireza Farsi, Hasan Yazdi, Mehran Univ Birjand Dept Elect & Comp Engn Birjand Iran Movidius Ltd Dublin Ireland Shiraz Univ Sch Elect & Comp Engn Shiraz Iran

ISBN: (纸本)9781509064540

Nowadays, image processing is getting more popular due to the daily increase of diverse data acquisition methods such as digital scanners and cameras. Due to the high volume of archived documents, automatic document classification methods can help to save the time and space in digital document organization. Logos in official and business documents are used to identify document identities. Different approaches have been used for logo recognition yet, many of which has complex computations to achieve a high level of precision. In this paper, a novel algorithm for accurate logo recognition with low level of computational complexity is proposed based on Local Binary pattern (LBP). We proposed PerLogo dataset consisting 850 images of 10 different classes of logos has been proposed in this paper. Through 3 separate experiments over 50, 60, 70 images per each class the proposed system has been evaluated. Experimental results show that recognition rate is increased with increasing the number of training images per class. Experimental results show the recognition accuracy of 98% when 0.09 salt and pepper noise are added to the test images, which is more than 95% accuracy proposed by the state-of-the-art approaches achieving 95% accuracy.

关键词： Logo recognition Feature Extraction Document Image Local Binary pattern

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