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Efficient CQI Estimation for Synchronized ABS Configuration in HetNet

Efficient CQI Estimation for Synchronized ABS Configuration ...

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IEEE international Symposium on Parallel and distributed Processing with Applications and IEEE international conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Yupeng Wang Junyan Kang Lening Wang College of Electronic and Information Engineering Shenyang Aerospace University Shenyang China FLIGHT INSPECTION CENTER OF CAAC Beijing China

ISBN: (纸本)9781728152103

In Heterogeneous Networks (HetNets), User Equipments(UEs) in pico cells may suffer from significant co-channel interference from macro stations. The 3rd Generation Partnership Project (3GPP) organization has proposed the concept of Almost Blank Subframe (ABS) so as to reduce the interference of macro stations to pico UEs. Addressing the problem that the introduction of ABS makes it impossible for pico UEs to correctly obtain channel conditions on different subframes, this paper proposes an efficient scheme based on a variable parameter Lambda report and Lambda estimation to derive Channel Quality Indicator (CQI). The method is applicable to the ABS and non-Almost Blank Subframe (non-ABS). It compensates the non-restricted measured CQI with different offsets, based on ABS density and ratio of interference levels from macro cells and pico cells to obtain CQI on different subframes. Simulation and analytical results show that our proposed scheme can achieve approximately 59% gain over the 3GPP system and reduce report overhead significantly without inducing penalties on throughput.

关键词： 3G mobile communication cochannel interference picocellular radio wireless channels Cochannel interference wireless channels DDX41 gene Antilock Braking systems ABS resins door bucks 3G mobile communication picocell macro commands order of interference 3GPP

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3rd international Symposium on Signal Processing and Intelligent Recognition systems. SIRS 2017

3rd International Symposium on Signal Processing and Intelli...

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3rd international Symposium on Signal Processing and Intelligent Recognition systems. SIRS 2017

ISBN: (纸本)9783319679334

The proceedings contain 41 papers. The special focus in this conference is on Signal Processing and Intelligent Recognition systems. The topics include: Removal of BW and respiration noise in abdECG for f ECG extraction;early stage detection of diabetic retinopathy using an optimal feature set;exploring cepstral coefficient based sleep stage scoring method for single-channel EEG signal using machine learning technique;non linear tracking using unscented kalman filter;an analysis on the influence that the position and number of control points have on MLS registration of medical images;component characterization of western and indian classical music;an experimental setup of DSA algorithm suitable for high bandwidth data transfer using USRP and GNU radio companion;influence of filter bank structure on the statistical significance of coefficients in cepstral analysis for acoustic signals;particle filtering technique for fast fading shadow power estimation in wireless communication;object detection and localization using compressed sensing;an improved approach for securing document images using dual cover;dependency of various color and intensity planes on CNN based image classification;epigraphic document image enhancement using retinex method;improved microaneurysm detection in fundus images for diagnosis of diabetic retinopathy;swarm robots in a closed loop visual odometry system by using visible light communication;an adaptive neuro-fuzzy inference system based situation awareness assessment in VLC enabled connected cars;identifying issues in estimating parameters from speech under lombard effect and a model for an emotional respondent robot.

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distributed Representation of Words in Vector Space for Kannada Language 3

Distributed Representation of Words in Vector Space for Kann...

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3rd international conference on Computational systems.and Information Technology for Sustainable Solutions, CSITSS 2018

作者： Kambali, Pandurang S. Suri, Sanjana Sagar, B.M. Department of Electronics and Communication R v College of Engineering Bangalore560059 India Department of Information Science R v College of Engineering Bangalore560059 India

ISBN: (纸本)9781538660782

An objective of neural language modelling is to take in the joint probability function of sequence of words in a language. This is characteristically dif• cult due to the huge computation requirement and curse of dimensionality. A word sequence, the model will encounter during testing is probably going to be not quite the same as all the word sequence seen amid training. Recent works in learning word vector representation are successful in capturing semantic and syntactic relationship between words of a language. These word embeddings are proven to be very efficient in various Natural Language Processing (NLP) tasks like Machine Translation, Question Answering, Text summarization etc. Training word embeddings with neural networks has been prevalent among NLP researchers. Two major models, Continuous Bag of Words (CBOW) and Skip-gram have not only improved the accuracy but also reduced the training time. However, the vector space representation can still be improved using some existing techniques which are rarely used together like subword model, where a word is represented as a weighted average of n-gram representation. Pre-trained word vectors are key requirements in any NLP tasks, generating word vectors for Indian languages has drawn very less attention. This paper proposes a distributed representation for Kannada words using an optimal neural network model and combining various known techniques. © 2018 IEEE.

关键词： Embeddings

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23rd international conference on Formal Methods for Industrial Critical systems. FMICS 2018

23rd International Conference on Formal Methods for Industri...

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23rd international conference on Formal Methods for Industrial Critical systems. FMICS 2018

ISBN: (纸本)9783030002435

The proceedings contain 19 papers. The special focus in this conference is on Formal Methods for Industrial Critical systems. The topics include: Adaptive Learning for Learn-Based Regression Testing;predicate Abstraction and Such..;compositional Verification in Action;a Note on Refinement in Hierarchical Transition systems.m3C: Modal Meta Model Checking;wholly!: A Build System For The Modern Software Stack;a Modeling Language for Security Threats of IoT systems.Revisiting Bounded Reachability Analysis of Timed Automata Based on MILP;evaluation and Comparison of Real-Time systems.Analysis Methods and Tools;building Correct Cyber-Physical systems. Why We Need a Multiview Contract Theory;automated Functional Safety Analysis of Automated Driving systems.safety Interlocking as a distributed Mutual Exclusion Problem;Checking Consistency of Real-Time Requirements on distributed Automotive Control Software Early in the Development Process Using UPPAAL;formal Verification of a Programmable Hypersurface;Modelling and Analysing ERTMS Hybrid Level 3 with the mCRL2 Toolset;progress Checking for Dummies;virtual Integration for Pattern-Based Contracts with the Kind2 Model Checker.

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Design of a fibre optic linked distributed control and monitor system for the ion source and its subsystems.of a low energy 400kV accelerator 3

Design of a fibre optic linked distributed control and monit...

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3rd IEEE international conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018

作者： Suresh, K. David, C. Navas, J. Panigrahi, B.K. Parthasarathi, A. Materials Science Group Indira Gandhi Centre for Atomic Research Homi Bhabha National Institute Kalpakkam Tamil Nadu India Electronics and Instrumentation Group Indira Gandhi Centre for Atomic Research Homi Bhabha National Institute Kalpakkam Tamil Nadu India Materials Science Group Indira Gandhi Centre for Atomic Research Kalpakkam Tamil Nadu India

ISBN: (纸本)9781538624401

A fibre optic linked distributed control cum monitor system and various field interface circuits have been designed and developed in-house to facilitate control and monitoring an RF ion source and its subsystems.of a low energy 400kV accelerator. The 400kV accelerator has been established indigenously at Materials Science Group, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, Tamilnadu, India as part of a state of art dual ion irradiation facility. This dual ion irradiation facility has been set up to simulate synergistic effects of displacement damage and gaseous helium/hydrogen which is important in the context of development of radiation resistance materials for fast fission, fusion nuclear reactors and accelerator driven subcritical systems. A device interface node through its I/O boards is interfaced to the accelerator systems.at the high voltage dome and is linked to a Loop Controller at the control computer located about 25 metres away from the accelerator using a pair of fibre optic cables. Graphical programming language LabVIEW based virtual instruments are used to create user-friendly and interactive panels for the control system. All the control and monitoring information are transmitted over the fibre optic loop up to 1.152 Mbaud rate, continually refreshing control outputs and scanning status inputs at a typical rate of 125Hz. The performance of the control system is found to be very good and the accelerator is regularly operated producing various gaseous ion beams like He+, He++, H+, Ar+with a typical yield of 10uA. © 2018 IEEE.

关键词： Low power electronics

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3rd international conference on Human Centered computing, HCC 2017

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3rd international conference on Human Centered computing, HCC 2017

ISBN: (纸本)9783319745206

The proceedings contain 68 papers. The special focus in this conference is on Human Centered computing. The topics include: Blind image quality assessment via analysis of GLCM;an improved ranked K-medoids clustering algorithm based on a P system;A novel inverse-operation based group undo/redo algorithm for feature-based 3D collaborative CAD systems.two steps method using polarization to resist phase noise for self-interference cancelation in full-duplex;sparse linear method based top-N course recommendation system with expert knowledge and L0Regularization;the research on the container truck scheduling based on fuzzy control and ant colony algorithm;Researches on the analysis framework of application layer communication protocol based on SQLite;the implementation of growth guidance factor diffusion via octree spatial structures for neuronal systems.simulation;intelligent perceptive QoS based centralized admission control for route computing;A method for correcting the leaning of AR two-dimensional codes based on LSM;research on the shortest path problem based on improved genetic algorithm;semantic web languages for policy enforcement in the internet of things;network traffic prediction based on wavelet transform and genetic algorithm;research and optimization of the cluster server load balancing technology based on centos 7;Base station location optimization based on genetic algorithm in CAD system;a study of optimal multi-server system configuration with variate deadlines and rental prices in cloud computing;a composite anomaly detection method for identifying network element hitches;D-SVM fusion clustering algorithm based on indoor location;research on evaluation of sensor deviations during flight;research on meteorological data simulation.

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3D object recognition framework 3

3D object recognition framework

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3rd IEEE international conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018

作者： Patil, Krupa Manohar Lakamanhalli, Deepa Accenture Bangalore India

ISBN: (纸本)9781538624401

Object recognition is one of the inherent characteristics which humans own since adolescence. In reality, it is astonishing to see that humans can recognize any object at a single glance. Machines however, find it difficult to recognise objects since the object appearance may have variation due to photometric effects, clutter, occlusions or rotation. But, all these variations are instantaneously handled by human brains. In spite of the fact that the objects may vary depending on point of view or any changes in size or scale, humans can smoothly identify the object. This task is yet a major problem for machines. Hence, there is a need to develop a model which can efficiently and effectively recognize 3D objects. This paper proposes a 3D object recognition framework in order to solve the problem faced by computer vision systems. In the proposed model, key points are extracted using Intrinsic Shape Signature (ISS). The geometric information surrounding these points is determined by using Fast Point Feature Histogram (FPFH) descriptor. The resulting feature matrix is the local feature of an object. Feature sets are formed by using Efficient Match Kernel (EMK) and these feature sets are used as weights in Support Vector Machine (SVM) classifier to classify the object in a scene to the category in a training set. © 2018 IEEE.

关键词： Support vector machines

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Cost-Effective Dynamic Control for Transmission systems 3

Cost-Effective Dynamic Control for Transmission Systems

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3rd IEEE international Workshop on Electronic Power Grid (eGrid)

作者： Jinsiwale, Rohit Mauger, Mickael J. Kandula, R. P. Divan, Deepak Jaroszewski, Marion Schatz, Joe Georgia Inst Technol Ctr Distributed Energy Atlanta GA 30332 USA Delta Star Inc San Carlos CA USA Georgia Power Atlanta GA USA

ISBN: (纸本)9781538676653

Management of flows over today's power grid is becoming increasingly complex owing to the volatility introduced due to non-dispatchable sources like PV and wind. The need for autonomous and precise control over power flows in the transmission system is felt. This paper proposes a hybrid transformer-based solution to add dynamic control over voltages, power flows and impedances on transmission systems. The proposed technology involves augmenting a conventional transformer with a fractionally rated converter. The approach shows numerous improvements as well as cheaper cost points over traditional FACTS-based approaches. Further, a modular approach towards using this technology is presented to enable high reliability, redundancy and resiliency for the transmission grid. System level simulations are presented here to showcase the approach's feasibility.

关键词： power flow controller dynamic control modular transformers

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MCCSIS 2018 - Multi conference on Computer Science and Information systems.proceedings of the international conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern computing 2018 and Connected Smart Cities 2018

MCCSIS 2018 - Multi Conference on Computer Science and Infor...

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3rd international conference on Big Data Analytics, Data Mining and Computational Intelligence 2018, the 7th international conference on Theory and Practice in Modern computing 2018 and of the 4th international conference on Connected Smart Cities 2018, part of the 2018 Multi conference on Computer Science and Information systems. MCCSIS 2018

ISBN: (纸本)9789898533807

The proceedings contain 36 papers. The topics discussed include: bring your own security risks with BYOD;understanding current research on the use and impact of big data analytics: a systematic literature review;analysis of spatial accessibility to public libraries considering determinant of user's visit;dynamic data assigning clustering for school grouping;extraction of classification models using a bee swarm approach;visual analytics in the public sector: an analysis on diversities and similarities of London's wards;a methodology to identify extremist discourse on social media;the method for detecting the dependencies between technical functions and physical effects;identifying the distribution of the floating population in Seoul;cities information and communication technologies (ICT) bridge toward villages for women empowerment;is market efficiency enhanced in sub-second trading market;an incremental learning system for online KNN classification: application to network intrusion detection;stock prediction using randomness level of price fluctuation measured by the RMT-test;2CNN - modular image recognizer with convolutional neural networks;and full model selection in huge datasets through a meta-learning approach.

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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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