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2012 3rd international conference on Information Technology for Manufacturing systems(ITMS 2012)

作者： Haifeng Lin Anna Jiang Di Bai Yunfei Liu School of Information Science & Technology Nanjing Forestry University

A wireless sensor network consists of distributed devices which can monitor physical and environmental conditions and have a lot of applications, such as environmental monitoring, habitat monitoring, object tracking, nuclear reactor controlling, fire detection and traffic *** it has a lot of potential applications, a wireless sensor network is highly energy *** energy resource to the sensor becomes an obstacle for its applications and efficient usage of energy helps in improving the network *** a network has a high-density of sensor nodes, there will be lots of problems such as the intersection of sensing, redundant data, communication interference and energy *** it is necessary to set up a management application to maintain these *** the other hand, a high-density network can be fault tolerant and more accurate than low-density sensor *** this paper, we proposed a new scheduling for sensor networks which can decide the nodes to be on or off and maintain the coverage area for the original *** management schema may take a node out of service temporally in order to save *** design uses a Voronoi Diagram, which decomposes the sensing area into regions around each node.

关键词： Energy Efficient Node Scheduling Wireless sensor Networks Voronoi Diagram

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A Survey of Modelling Uncertain Data

A Survey of Modelling Uncertain Data

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2010 3rd ieee international conference on Computer Science and Information Technology—ICCSIT 2010

作者： Teng Lv Teaching and Research Section of Computer Artillery Academy Hefei 230031,China Weimin He Department of computing and New Media Technologies University of Wisconsin-Stevens Point Stevens Point,WI 54481,USA Ping Yan School of Science Anhui Agricultural University Hefei 230036 China

Uncertainty in data is caused by various reasons such as data generated and transmitted in sensor networks, data mapping in uncertain data integrating environments, and data in some specific applications considering privacy and confidentiality, etc. To describe the uncertainty in data, probabilistic approaches are widely used among other approaches. This paper gives a survey study on some probabilistic approaches in database fields as well as in semi- structured datasets, especially in XML datasets.

关键词： uncertain data uncertain data model probabilistic model XML relational database

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Aware: Adaptive distributed Training with Computation, Communication and Position Awareness for Deep Learning Model

Aware: Adaptive Distributed Training with Computation, Commu...

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ieee international conference on High Performance computing and Communications (HPCC)

作者： Yan Zeng Guangzheng Yi Yuyu Yin Jiyang Wu Meiting Xue Jilin Zhang Jian Wan Yunquan Zhang School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Cyberspace Hangzhou Dianzi University Hangzhou China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

The accuracy of the neural networks can usually be improved by increasing the size of the dataset and the layers or operators of the network, as it has strong composability. But, it makes a challenge to train these models efficiently, due to the limited resources of a single device, such as memory, computational resource and so on. For this challenge, it has become an inevitable trend to automatically implement model parallelism across multiple devices. This paper proposes Aware, an adaptive distributed parallel training method, to search distributed parallel strategy automatically for deep learning model. It firstly proposes an operator fusion strategy with computation and communication awareness to simplify the computational graph of deep learning model. And then, it introduces position-aware graph embedding algorithm to extract the structural features of models, which can make the searched parallel strategies to transplant to other networks with similar structures. On this basis, we use reinforcement learning algorithm to search distributed parallel strategy automatically. This paper makes experiments with neural networks such as Inception V3, NMT, GNM, NasNet and ResNet, and uses CIFAR10 and PTB datasets to compare the two methods of Hierarchical and Placeto. The results show that compared with Placeto, Aware achieves up to 5% reductions in runtime. Aware achieves more than 8% reductions in runtime compared with Hierarchical. Moreover, it has better transplantation and generalization capabilities, and supports pre-training for large-scale network parallel strategy search and accelerates convergence.

关键词： Deep learning Training Adaptation models Runtime Computational modeling Neural networks Reinforcement learning

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Performance and Capacity Consistency Analysis of A Wireless UAV-Blockchain System

Performance and Capacity Consistency Analysis of A Wireless ...

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ieee international conference on Electronic Information and Communication Technology (ICEICT)

作者： Zebing Feng Yang Jiao China Academy of Information and Communications Technology (CAICT) Beijing China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

Blockchain is widely applied in the field of Unmanned Aerial Vehicles (UAVs) for its characteristics of high distribution, secure data exchange and storage. Different from the current blockchain systems that are mostly deployed on a wired network, this paper proposed a wireless UAV-blockchain system. Each UAV node acts as a blockchain node and has onboard functionality of performing transactions interactions and consensus mechanisms via wireless ad-hoc channels. We study the interactions between the UAV ad hoc network capacity and the blockchain system, and evaluate the performance (transactions per second) under corresponding all possible network coverage probabilities. Performance evaluations are presented to testify the theoretical analysis, which shows how the UAV-blockchain system throughput is affected by the block arrival rate and UAV network scale.

关键词： Wireless communication distributed databases Blockchain Throughput Unmanned aerial vehicles Ad hoc networks Communication system security

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An ensemble hyper-tuned model for IoT sensors attacks and anomaly detection

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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES 2020年第7期41卷 1715-1739页

作者： Singh, Khushal Singh, Nanhay Guru Gobind Singh Indraprastha Univ Ambedkar Inst Adv Commun Technol & Res Dept Comp Sci & Engn New Delhi 110031 India

The extensive promotion of Internet of Thing (IoT), provides assorted opportunities and benefits in wide aspect of our life but unfortunately, the IoT is associated with various kinds of vulnerability attacks and anomaly exploits. Security experts indicate voluminous risks enforced by the IoT devices in different aspects. So, the attacks and anomaly detection become a growing concern in this sector. Disparate attacks allied Malicious Control, Denial of Service, Malicious Operations, Scan, Data Type Probing, Wrong Setup and spying becomes the severe cause of IoT system failure. The main objective of these attacks has to steal the confidential information from the system and generates unavailability of the system for authorized users. As compulsion of IoT security, we proposed a novel ensemble hyper-tuned model that automatically and effectively detects IoT sensors attacks and anomalies. This robust model is built on the basis of feature selection and ensemble technique of Machine Learning. The virtual IoT sensor's environment generates a dataset by distributed Smart Space Orchestration System (DS2OS), that is used for performing the experiments of attack detection by hyper-tuned Gradient Boosting ensemble algorithm. First, the feature selection process is applied for reducing the dimensions of the dataset, which enrich the environment for attacks and anomaly detection. After that, Gradient Boosting ensemble algorithm is applied with little hyperparameter tuning for getting the best results. Our model is outperformed for detecting the attacks on IoT sensor's environment and effectiveness of this model is measured in terms of Accuracy = 99.40%, Precision = 99%, Recall = 99%, F1-Score = 99%. whereas, the ROC-AUC curve and confusion matrix is also generated for predicting the efficiency of our ensemble model.

关键词： sensors Network Internet of Things Machine Learning distributed Attacks Device Identification

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Study of Context-Aware computing and Its System Infrastructure

Study of Context-Aware Computing and Its System Infrastructu...

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2011 3rd international conference on Computer Research and Development(ICCrd 2011)

作者： YUE Bing Institute of Information Science and Technology Heilongjiang University Harbin P.R.China,150080

Based on multi-agent technology,this paper proposes a novel system infrastructure for context-aware *** provide frameworks for communication and *** suggest an agent model that integrates the software agents of the application with the hardware agents of the physical *** describe an integrated target tracking experiment,to demonstrate an implementation of this *** infrastructure takes environment agent as the center,thus decoupling the relations of sensors with *** uses the sensors and evolution agents to do context sense and *** management agents are used to realize security and privacy strategy,while the user and application agent are used to interactive with user and other applications.

关键词： wireless sensor networks,multi-agent,context-aware

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Design of Intelligent Car Door Control System

Design of Intelligent Car Door Control System

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ieee international conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Qi Liu Shaocheng Qu Wollongong Joint Institute Central China Normal University Wuhan China Central China Normal University Wuhan China

ISBN: (数字)9781728198279

ISBN: (纸本)9781728181585

This paper firstly points out that the present car door on market may lack intelligent control which can bring trouble and potential safety hazards to traffic. Secondly, it discusses and compares the characteristics of immovable home door, traditional car door and mobile home door, hope to find the possibility of transferring immovable home door technology to traditional car door. Also, it indicates that the mobile home can be seen as a bridge role between immovable home and traditional car which may give experiment support for intelligent car door control system design. Thirdly, it supplies a real object called “a mobile home system based on stm32” as a platform to conduct the experiments for actual design, combined with six sensors following two scheduled flow charts. The design of intelligent car door control system can give relief to traffic accidents due to car door problems, which may promote the development of autonomous driving technology.

关键词： Automobiles sensors Intelligent sensors Control systems Tactile sensors sensor systems Cameras

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distributed Generation Integration Based on Optimization Techniques for Cost Minimization and Improve Networks Characteristics

Distributed Generation Integration Based on Optimization Tec...

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international conference on Engineering Technology and their Applications (IICETA)

作者： Ihsan M. Jawad Wafaa S. Majeed College of Engineering University of Al-Mustansiriyah Baghdad IRAQ

ISBN: (数字)9781728182315

ISBN: (纸本)9781728182322

distributed generators (DGs) are nowadays most commonly used in distribution networks to meet the rising demand. The distribution network power flow is altered as more distributed generations are integrated with the distribution network. Analyzing and researching the network's power flow with distributed generation is an essential element of analyzing the distributed generation's influence on the networks. This study proposed new sites in the test network for the purpose of connecting DGs. Good results were obtained in improving the necessary network elements. Firstly, applying a Newton-Raphson method to measure the distribution network's power flow without distributed generations. Then the optimal power flow approach with DGs is set up based on many goals such as minimizing fuel cost, minimizing losses, voltage deviation, increasing efficiency, and the incremental fuel cost in the network appeared. Eventually, applying Particle Swarm to overcome the optimization problems. In MATLAB software environment and programing MATPOWER version 6.0, the simulation is evaluated and validated using the ieee30 node method. The test results indicate that optimal power flow analysis with distributed generation will accomplish many networks aims and boost system economy.

关键词： Generators Load flow Fuels Particle swarm optimization Power systems distributed power generation Distribution networks

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Extensible High Force Manipulator For Complex Exploration

Extensible High Force Manipulator For Complex Exploration

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ieee international conference on Soft Robotics (RoboSoft)

作者： Josie Hughes Cosmio Della Santina Daniela Rus Distributed Robotics Lab CSAIL MIT.

ISBN: (数字)9781728165707

ISBN: (纸本)9781728165714

The development of compliant robotic manipulators which can show length change, compliance and dexterity could assist many challenging applications. Potential applications range from dexterous manipulation, robotic surgery or exploration of challenging environments. Despite significant developments in both fabrication and control approaches for continuum body manipulators, there have been few demonstrations of continuum body systems which display all these properties. We present a method for fabricating a continuum manipulation which shows extension, high force movements and a range of dexterous position. This approach uses 3D printing to create a flexible rack and pinion system. These high torque mechanisms are mounted at points along the 3D printed tracks to allow complex shape control of the continuum system. A controller has been also been developed based on a Piecewise Constant Curvature approximation to allow the position of the tip of the manipulator to be controlled, and motion paths to be followed. In this work, we show the force capabilities of this manipulator and demonstrate how multiple segments can be created for more complex movements.

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Emulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle

Emulating a sensor using soft material dynamics: A reservoir...

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ieee international conference on Soft Robotics (RoboSoft)

作者： Ryo Sakurai Mitsuhiro Nishida Hideyuki Sakurai Yasumichi Wakao Nozomi Akashi Yasuo Kuniyoshi Yuna Minami Kohei Nakajima Advanced Technology Creating Dept. Bridgestone Corp. Tokyo Japan Nest lab. Bridgestone Corp. Tokyo Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

ISBN: (数字)9781728165707

ISBN: (纸本)9781728165714

The McKibben pneumatic artificial muscle (PAM) is a promising soft actuator featuring flexibility, light weight, and high power. However, to realize high-precision control with such soft actuators and achieve human-like, autonomous, and natural behavioral control, both actuation techniques and sensing technologies require development to make the most of their features. In this regard, McKibben PAMs contain a drawback rooted in the nonlinear mechanical properties of their soft materials, as frictional anisotropy triggered upon PAM actuation between its fibers and the tubes causes hysteresis. Therefore, because the length of PAM is not uniquely determined by the applied pressure, it is generally necessary to install a sensor device (such as a laser displacement meter) for measuring the length in addition to the platform. In this study, we propose a scheme that can estimate a PAM's length using applied pressure and its internal dynamics in real time, making use of the machine learning technique called reservoir computing. We show that estimation can be performed with significantly high accuracy. We subsequently demonstrate that the proposed approach is robust against drastic and immediate changes in platform conditions, and can be adapted dynamically to real-time change. We expect this approach can replace the functionality of the laser displacement meter, freeing the platform from mechanical constraints and leading to the realization of a simpler soft actuator capable of sensing using soft material dynamics.

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