The paper presents a new approach to implementation of intelligent distributed scanning and analytical processing of Web-content for detection of the Internet inappropriate information. The offered architecture of the...
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The paper presents a new approach to implementation of intelligent distributed scanning and analytical processing of Web-content for detection of the Internet inappropriate information. The offered architecture of the component of the intelligent distributed scanners eliminates restrictions on capacity and localization of scanners in network by decentralized management of loading. The offered architecture of the component of analytical processing uses a set of the binary qualifiers based on machine learning methods. Experimental assessment of the proposed solutions showed their high efficiency on the classifier training time and on the completeness and the accuracy of inappropriate information detection.
One of the most critical problem and challenging in Wireless sensor Networks (WSNs) is to reduce energy consumption in order to prolong network lifetime of WSNs. Clustering technique is one of the techniques which hav...
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One of the most critical problem and challenging in Wireless sensor Networks (WSNs) is to reduce energy consumption in order to prolong network lifetime of WSNs. Clustering technique is one of the techniques which have been used to provide energy efficiency.. However Most of clustering schemes select the cluster head either randomly without considered important parameters or based on centralized approach by utilizing the base station which can affect the network scalability. In addition, single hop communication is used by CHs to forward their sensed data to the CH which lead to increases energy consumption of CHs in large scale network. Therefore in this paper clustering scheme is proposed based on distributed approach, different parameters are consider for cluster head selection and also for multi-hop communication. Results shows that the proposed scheme have better performance in term of energy consumption and number of alive sensor nodes
Soft robotics is a well established research field that is already making an impact on the robotic community in many different ways. Despite this, the paradigm of soft materials brings also enormous challenges and uni...
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ISBN:
(纸本)9781538645161
Soft robotics is a well established research field that is already making an impact on the robotic community in many different ways. Despite this, the paradigm of soft materials brings also enormous challenges and unique problems. One of the most challenging topics is providing sensing capability to the soft device. In this paper we present a flexible sensors made with the same material used to build soft robots (silicon rubbers) over which a tomographic technique known as Electrical Impedance Tomography has been used as transduction method. The technique can be used to develop a flexible sensor with arbitrary size and shape that does not suffer from the presence of wires within the sensing area. This allows to have distributed and continuous sensing without the need to include multiple sensing elements. We tested the developed system by analysing its respond to the elongation and bending of the sensor. The results are promising and provide sound basis for the development of novel sensor for soft robots.
Wireless sensor Network consist huge collection of devoted and distributedsensors for observing, checking as well as for constituting a piece of evidence about the past environment conditions and to collect all the i...
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ISBN:
(纸本)9781538677094
Wireless sensor Network consist huge collection of devoted and distributedsensors for observing, checking as well as for constituting a piece of evidence about the past environment conditions and to collect all the information and store in a central location called as base station. The sensors are low powered and small in size also known as motes. The basic purpose of sensor is to sense or monitor a sensing area. This network usually controls computing and accessing capabilities of various operations and have multiple number of sensor nodes which are connected to form a network and these nodes are also known as tiny computers. sensor nodes are broadly classified into visual, magnetic, infrared and acoustic which are pretty good enough to handle wide areas. The sensors should communicate the sensed data to base station via intermediate nodes. Thus they are supposed to be connected to the WSN. Hence, connectivity of a sensor plays a vital role for better sensing. The aim of this work is to study various types of connectivity models in Wireless sensor Networks, as well as analysing of models. Large amount of energy is dissipated for making node being connected to the network. Different connectivity models can be used to provide better coverage in regular and irregular regions.
distributed Ledger Technology (DLT) is probably going, in the near future, to disrupt B2B and B2C interactions even more than the advent of the World Wide Web, thanks to the transfer of trust from personal and commerc...
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Smart farming can significantly improve the yield of farming by utilizing the wireless sensor networks in order to measure and monitor the local climatic condition parameters such as CO2, temperature, humidity and pH....
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ISBN:
(纸本)9781538635520
Smart farming can significantly improve the yield of farming by utilizing the wireless sensor networks in order to measure and monitor the local climatic condition parameters such as CO2, temperature, humidity and pH. Thus, smart farming precisely controls the applications of water or nutrients of agriculture field based on the measured data. However, smart farming has extremely affected by a path loss especially when agriculture field is large. Because the destination cannot receive a signal which is lower than signal sensitivity. Therefore, the distributed beamforming has been considered to enhance a smart farming in this paper. The distributed beamforming can increase in diversity and transmission range of wireless sensor networks. This paper also present the optimum radius of the network by considering the tradeoff between the radius of network and directivity. The simulation results show that we can increase the transmission range from 745 m. to 7,456 m. when the number of sensor nodes is 100 where the radius of the network is 100 m. The optimum radius of the network for distributed beamforming is 100 m. This information can be helpful to the distributed beamforming designers.
Wireless sensor Networks (WSNs) have rapidly grown in recent years. They have been centric in many leading technologies. They have become a major part in several fields like emergency services, military, traffic monit...
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ISBN:
(纸本)9781538644270
Wireless sensor Networks (WSNs) have rapidly grown in recent years. They have been centric in many leading technologies. They have become a major part in several fields like emergency services, military, traffic monitoring, environmental control and medical services among a vast list of fields. However, with the rapid growth in the WSNs technology, the threat of deploying the technology without the required security has been a major issue facing a lot of facilities;thus comes the need for improving the security systems for the WSN. This paper aims to propose a hybrid security protocol for WSN.
This paper presents a functional architecture for controlling and managing platoons of vehicles assisted by a cloud computing platform for passenger vehicles in mixed traffic scenarios. The architecture modules are di...
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ISBN:
(纸本)9781728103235
This paper presents a functional architecture for controlling and managing platoons of vehicles assisted by a cloud computing platform for passenger vehicles in mixed traffic scenarios. The architecture modules are distributed in the three separate logical layers suggested by the on-going CARMA (Cloud-Assisted Real-time Methods for Autonomy) research project which aims to develop and test cooperative automated driving technologies and distributed control systems. The architecture also exploits the potential of the CARMA platform both in terms of computing and data sharing.
In this research the focus is on detecting multiple objects with an ultrasonic sensor in a dark environment where video or snapshot from a camera is not possible. The problem is to differentiate objects placed in clos...
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ISBN:
(纸本)9781538649046
In this research the focus is on detecting multiple objects with an ultrasonic sensor in a dark environment where video or snapshot from a camera is not possible. The problem is to differentiate objects placed in close vicinity of each other and to calculate the width of the objects or the width of a gap between objects placed next to each other. A method is devised to tackle the problem of differentiating the objects. Results of experiments are presented using an Ardiuno microcontroller with an ultrasonic sensor mounted on a motor.
Power consumption is an elementary concern in the development of any application of Wireless Multimedia sensor Network (WMSN). In WMSN, sensors equipped with multimedia devices are self-powered using batteries. Howeve...
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ISBN:
(纸本)9781538609262
Power consumption is an elementary concern in the development of any application of Wireless Multimedia sensor Network (WMSN). In WMSN, sensors equipped with multimedia devices are self-powered using batteries. However, multimedia data collection, processing and transmission process consumes large amount of energy. Considering image as a data used in WMSN, the size of the image captured by CMOS camera is large. Hence, transmission of a raw image contains large number of bytes resulting in more power consumption of the camera nodes. The most functional solution to reduce power consumption due to processing and transmission of large sized image is image compression, which minimize the numbers of bytes needed to transmit in WMSN. In this paper, we have proposed a distributed image compression method which gives high compression ratio. Simulation results shows that our proposed distributed image compression method when applied in clustered network, balances energy consumption and prolong the network lifetime when compared with existing and centralized image compression method.
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