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HGT Hydraulic Gyratory Crusher

HGT Hydraulic Gyratory Crusher

HGT Gyratory Crusher is a new-type intelligent coarse crusher with big capacity and high efficiency. It integrates mechanical, hydraulic, electric, automated, and intelligent controlling technologies which grant it with advantages traditional crushing

European Type Jaw Crusher PEW

European Type Jaw Crusher PEW

Jaw crushers has stationary jaw crusher, portable jaw crusher and mobile jaw crusher (crawler jaw crusher). Jaw crusher (PEW Series) is not only able to be used together with mine-selecting and gravel processing equipments but also be used independen

Jaw Crusher PE

Jaw Crusher PE

Jaw crusher is driven by a motor, and the moving jaw moves up and down via eccentric shaft. The angle between fixed jaw and moving jaw becomes smaller when the moving jaw runs down, then the materials are crushed into pieces. It will become bigger whe

HPT Hydraulic Cone Crusher

HPT Hydraulic Cone Crusher

Base on the latest technology and decades of years’ producing experience, Our Company designed the HPT series cone crusher. It has excellent crushing efficiency and good hydraulic control system. Now the HPC series cone crusher has wide application

HST Hydraulic Cone Crusher

HST Hydraulic Cone Crusher

HST Single Cylinder Hydraulic Cone Crusher is a new high-efficiency cone crusher independently researched, developed and designed by SBM through summarizing over twenty years of experience and widely absorbing advanced American and German technologies

CI5X Series Impact Crusher

CI5X Series Impact Crusher

CI5X Impact Crusher breaks materials with impact force. When materials enter the working area of hammer, they may be crushed under the high-speed shock and then thrown onto the impact device above the rotor for another crushing. Next, materials bounce

VSI6X Series Vertical Crusher

VSI6X Series Vertical Crusher

Due to the increasing market demand for the scale, intensification, energy conservation, environment protection and high-quality machine-made sand, SBM, a Chinese professional sand maker manufacturer, further optimizes the structure and function of tr

VSI5X Vertical Shaft Impact Crusher

VSI5X Vertical Shaft Impact Crusher

VSI Crushers Working Principle Raw material falls down into feed hopper, and then enters rotor through central entrance hole. It is accelerated in high-speed rotor, and then is thrown out at speed of 60-75m/s. When hitting anvil, it is crushed. Final

VSI Vertical Shaft Impact Crusher

VSI Vertical Shaft Impact Crusher

VSI Series vertical shaft impact crusher is designed by reputed German expert of SBM and every index is in worlds leading standard. It incorporates three crushing types and it can be operated 720 hours continuously. Nowadays, VSI crusher has replaced

VUS aggregate optimization system

VUS aggregate optimization system

The VU system is a global most-advanced dry-process sand-making system. The system is constructed like a tower. Its fully-enclosed layout features high integration. It integrates the functions of high-efficiency sand making, particle shape optimizatio

MTW-Z European Trapezium Mill

MTW-Z European Trapezium Mill

MTW European Grinding Mill is innovatively designed through deep research on grinding mills and development experience. It absorbs the latest European powder grinding technology and concept, and combines the suggestions of 9158 customers on grinding m

5X Series Roller Grinding Mill

5X Series Roller Grinding Mill

Grinding roller of MB5X Pendulum Roller Grinding Mill l adopts diluted oil lubrication. It is a technology initiated domestically which is maintenance-free and easy to operate. Diluted oil lubrication is oil bath lubrication, more convenient than grea

MTW Trapezium Mill

MTW Trapezium Mill

MTW European Grinding Mill is innovatively designed through deep research on grinding mills and development experience. It absorbs the latest European powder grinding technology and concept, and combines the suggestions of 9158 customers on grinding m

LM Vertical Mill

LM Vertical Mill

LM Vertical Grinding Mill integrates crushing, drying, grinding, separating and transport. The structure is simple while the layout is compact. Its occupational area is about 50% of that of the ball-milling system. The LM grinding mill can also be arr

TGM Trapezium Mill

TGM Trapezium Mill

TGM Super Pressure Trapezium Mill The operation principle of main unit of Trapezium mill is that main unit runs with the central shaft that is driven by a gear box. The top of the shaft is connected with a quincunx stand on which a grinding roller is

aggregate query processing in wireless sensor networ

(PDF) Aggregate Queries in Wireless Sensor Networks

Abstract and Figures Recently as efficient processing of aggregate queries for fetching desired data from sensors has been recognized as a crucial part, in-network aggregate query processing...

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Processing approximate aggregate queries in wireless

Dec 01, 2006 In-network data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networks. Nodes of the network form an aggregation tree, in which parent nodes aggregate the values received from their children and propagate the result to their own parents.

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Robust and Efficient Aggregate Query Processing in

Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these applications, aggregate queries, such as SUM, COUNT, AVERAGE, MIN and MAX are often used to collect statistical data.

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Aggregate query processing in the presence of duplicates

Mar 10, 2015 A wireless sensor network (WSN) consists of spatially distributed autonomous devices with various sensors, and a powered base station which serves as an access point for users to pose ad hoc queries. Wireless sensor networks have a broad range of applications, such as environment and habitat monitoring that collects meteorological data (e.g

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Processing Approximate Aggregate Queries in Wireless

routing [4, 26] and in-network query processing [14, 15, 16, 28]. A survey of the applications and the challenges that sensor networks introduce is presented in [10]. For monitoring queries that aggregate the observed values from a group of sensor nodes, [14] suggested the construction of a greedy aggregation tree that seeks to maximize the

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An adaptive in-network aggregation operator for query

Adaptive query operators (algorithms) can adjust their behavior in response to specific events that take place during data processing. In this paper, we propose an adaptive in- network aggregation operator for query processing in sensor nodes of a WSN, called ADAGA (ADaptive AGgregation Algorithm for sensor networks).

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Aggregate Threshold Queries in Sensor Networks IEEE

Mar 30, 2007 Abstract: An important class of queries over sensor networks are network-wide aggregation queries. In this work we study a class of aggregation queries which we refer to as aggregate threshold queries. The goal of an aggregate threshold query is to continuously monitor the network and give a notification every time an aggregated value crosses a predetermined threshold

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Processing Multiple Aggregation Queries in Geo-Sensor Networks

This observation points out the fact that the in-network query processing is more energy efficient. Fig. 7(c) shows the response time. This time all proposed approaches performs the same and BS remains the best. Conclusion and Future WorkAggregation queries are very important for sensor-network

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Optimized Query Processing for Wireless Sensor Networks

Optimized Query Processing for Wireless Sensor Networks d a 1. I NTR ODUCI Recently sensor networks are used in various domains of computer applications. Infinite property and scalability of them give chance to getting around information in the highest resolution that impossible in previous technologies. They are used from military search to

More

Query Processing for Sensor Networks

to ensure that the query processing layer is tightly in-tegrated with the networking layer. Second, the notion of the cost of a query plan has changed, as the critical resource in a sensor network is power, and query opti-mization and query processing have to

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Data_Aggregation_and_Query_Processing_in_WSN

Data Aggregation and Query Processing in WSN. Ayoni Mukherjee,Sanjit Setua. Abstract A wireless sensor network (WSN) has a wide range of important applications such as remote environment monitoring,target tracking etc. This has been enabled by the availability of sensors that are smaller, cheaper and intelligent.

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Processing Multiple Aggregation Queries in Geo-Sensor Networks

This observation points out the fact that the in-network query processing is more energy efficient. Fig. 7(c) shows the response time. This time all proposed approaches performs the same and BS remains the best. Conclusion and Future WorkAggregation queries are very important for sensor-network

More

Aggregate Threshold Queries in Sensor Networks IEEE

Mar 30, 2007 Abstract: An important class of queries over sensor networks are network-wide aggregation queries. In this work we study a class of aggregation queries which we refer to as aggregate threshold queries. The goal of an aggregate threshold query is to continuously monitor the network and give a notification every time an aggregated value crosses a predetermined threshold

More

Optimized Query Processing for Wireless Sensor Networks

Optimized Query Processing for Wireless Sensor Networks d a 1. I NTR ODUCI Recently sensor networks are used in various domains of computer applications. Infinite property and scalability of them give chance to getting around information in the highest resolution that impossible in previous technologies. They are used from military search to

More

An Efficient Data Aggregation and Query Optimization for

discussed and query processing in sensor networks are presented. A. Data Aggregation Data aggregations are used to reduce unnecessary data communication and further to increase the duration of wireless sensor networks with energy constrains. Data

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Wireless Sensor Network A Review on Data Aggregation

3.3 Impact of data aggregation in wireless sensor network In this paper we discuss the two main factors that affect the performance of data aggregation methods in wireless sensor network, Such as energy saving and delay. Data aggregation is the process, in which aggregating the data packet coming from the different sources; the number of

More

Query Processing for Sensor Networks

to ensure that the query processing layer is tightly in-tegrated with the networking layer. Second, the notion of the cost of a query plan has changed, as the critical resource in a sensor network is power, and query opti-mization and query processing have to

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SDAMQ: Secure Data Aggregation for Multiple Queries in

Aggregation for Multiple Queries (SDAMQ) in Wireless Sensor Networks where multiple aggregate queries from the sink are authenticated and distributed to the sensor nodes. The sensor nodes respond by aggregating data belonging to multiple coexisting queries into a single packet, there by reducing the transmission cost.

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(PDF) Complex query processing in wireless sensor networks

Complex query processing in wireless sensor networks. January 2007; In-network processing, however, has been limited to systems where at most, simple aggregate queries are evaluated, the

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Efficient Continuous Skyline Query Processing in Wireless

sensors Article E cient Continuous Skyline Query Processing in Wireless Sensor Networks Yingyuan Xiao 1,2,*,Xu Jiao 2, Hongya Wang 3, Ching-Hsien Hsu 4,*, Li Liu 2 and Wenguang Zheng 2 1 Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China 2 Tianjin Key Laboratory of Intelligence Computing and Novel Software

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Energy Efficient for Data Aggregation in Wireless Sensor

The wireless sensor network has open communication environment and limited resources due to which security issue is major concern in this network as compared to wired network. The used sensor nodes in the network are low powered devices, small in size and have low computational cost.

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Data Aggregation for Wireless Sensor Networks Using Self

Oct 04, 2004 Sensor Networks have recently emerged as a ubiquitous computing platform. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. In this work, we propose a self-organizing method for aggregating data in ad-hoc wireless sensor networks.

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Toward adaptive query processing in wireless sensor networks

[8] I. Solis, K. Obraczka, In-network aggregation trade-offs for data collection in wireless in sensor networks, INRG Technical Report 102, August 2003. Google Scholar [9] Y. Yao, J. Gehrke, Query processing for sensor networks, in: Proceedings of the CIDR conference, 2003. Google Scholar

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Assembling Regions for Efficacious Aggregate Query

Assembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma, Electrical and Computer Engineering (2003) National Technical University of Athens Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements of

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An Efficient Data Aggregation and Query Optimization for

discussed and query processing in sensor networks are presented. A. Data Aggregation Data aggregations are used to reduce unnecessary data communication and further to increase the duration of wireless sensor networks with energy constrains. Data

More

SDAMQ: Secure Data Aggregation for Multiple Queries in

Aggregation for Multiple Queries (SDAMQ) in Wireless Sensor Networks where multiple aggregate queries from the sink are authenticated and distributed to the sensor nodes. The sensor nodes respond by aggregating data belonging to multiple coexisting queries into a single packet, there by reducing the transmission cost.

More

Query Processing for Sensor Networks

to ensure that the query processing layer is tightly in-tegrated with the networking layer. Second, the notion of the cost of a query plan has changed, as the critical resource in a sensor network is power, and query opti-mization and query processing have to

More

Wireless Sensor Network A Review on Data Aggregation

3.3 Impact of data aggregation in wireless sensor network In this paper we discuss the two main factors that affect the performance of data aggregation methods in wireless sensor network, Such as energy saving and delay. Data aggregation is the process, in which aggregating the data packet coming from the different sources; the number of

More

Aggregate Threshold Queries in Sensor Networks

An important class of queries over sensor networks are network-wide aggregation queries. In this work we study a class of aggregation queries which we refer to as aggregate threshold queries. The goal of an aggregate threshold query is to continuously monitor the network and give a notification every time an aggregated value crosses a predetermined threshold value.

More

Query Processing in Sensor Networks

Queries Data Distributed in network query processor 3 TinyDB or Cougar Wireless sensor network Query input Result collection 2 Query parsing Query optimization 1 Query result storage and display Figure 1. Architecture of a sensor network query processor. Numbers indicate the sequence of steps involved in processing a query.

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Toward adaptive query processing in wireless sensor networks

[8] I. Solis, K. Obraczka, In-network aggregation trade-offs for data collection in wireless in sensor networks, INRG Technical Report 102, August 2003. Google Scholar [9] Y. Yao, J. Gehrke, Query processing for sensor networks, in: Proceedings of the CIDR conference, 2003. Google Scholar

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Machine learning in wireless sensor networks: Algorithms

routing, localization, clustering, data aggregation, query processing and medium access control. Here, an issue is functional if it is essential to the basic operation of the wireless sensor network. Section IV investigates machine learning solutions in WSNs for fulfilling non-functional requirements, i.e.

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Energy Efficient for Data Aggregation in Wireless Sensor

The wireless sensor network has open communication environment and limited resources due to which security issue is major concern in this network as compared to wired network. The used sensor nodes in the network are low powered devices, small in size and have low computational cost.

More

Efficient Continuous Skyline Query Processing in Wireless

sensors Article E cient Continuous Skyline Query Processing in Wireless Sensor Networks Yingyuan Xiao 1,2,*,Xu Jiao 2, Hongya Wang 3, Ching-Hsien Hsu 4,*, Li Liu 2 and Wenguang Zheng 2 1 Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China 2 Tianjin Key Laboratory of Intelligence Computing and Novel Software

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Integrated Routing and Query Processing in Wireless Sensor

The data query processing systems such as TinyDB and Cougar are promising for data acquisitional application s of wireless sensor networks. With these systems, a user injects SQL ­style queries into the network through a PC. The networked sensor nodes then work

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Spatial query processing in wireless sensor networks A

Wireless sensor networks (WSN) are particularly useful for obtaining data concerning events limited to a well-defined geographic region, such as a disaster site or a malfunctioning subsection of a factory plant. Such applications typically use spatial queries, which are SQL-like queries where location constraints are imposed on the collected data.

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Poster Abstract: Routing and Processing Multiple

We present a novel approach to processing continuous aggregate queries in sensor networks, which lifts the as-sumption of tree-based routing. Given a query workload and a special-purpose gateway node where results are ex-pected, the query optimizer exploits query correlations in order to generate an energy-efcient distributed evaluation plan.

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SDACQ: Secure Data Aggregation for Coexisting Queries in

the corresponding user. The aggregation query is then routed to the sensor network using power cost incurred [5] or by dividing the query region into cells [6]. Some algorithms perform query processing by constructing separate routing tree for each query [7]. Niedermayer et al., [8] addressed the problem of computing exact quantiles

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