With the increasing amount of the data information, the value of the data information is constantly highlighted. Under this circumstance, the big data technology for the Internet data collection, collation and analysi...
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Big data provides new tools for market operations. In market analysis, people fully exploit their hidden business value and help companies make more accurate decisions by collecting, organizing and using data informat...
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Impeller data is investigated and understood including the data information content, data type and characteristics in the process of intelligent manufacturing of enterprises. The data information of the whole life cyc...
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Big data is another disruptive technological revolution in the IT industry after cloud computing and the Internet of Things. data is growing and accumulating at an unprecedented speed. Big data has been applied in var...
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The development in the field of networking technologies and telecommunications has increased the popularity of telemedicine usage. In medical diagnosis, many processes have been proposed by researchers for securing pa...
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The increase in the demand of agricultural food products that includes processed food, meat, dairy and fish will put the current food production and supply systems under pressure. The high demand for food resources ne...
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Electrical Energy demand is increasing due to increasing Industry and population. There is a need to build an intelligent system to address and deal with large energy consumption with high losses to monitor & deal...
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The core function of Mapreduce is to integrate the business logic code written by the user and the default components into a complete distributed operation program and run concurrently on a hadoop cluster. MapReduce i...
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ISBN:
(纸本)9783030152352;9783030152345
The core function of Mapreduce is to integrate the business logic code written by the user and the default components into a complete distributed operation program and run concurrently on a hadoop cluster. MapReduce is a set of software framework, which includes two stages: Map and Reduce. It can be used to partition the massive data, decompose the task and aggregate the results, so as to complete the parallel processing of the massive data. MapReduce's principle of work is actually the data - processing method. This article describes the analysis and application of MapReduce architecture and working principle in detail.
With the development of cloud computing technology, future smart Grid (SG) is expected to have efficient, reliable, secure and cost-effective power management. However, the use of emerging technologies such as virtual...
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The proceedings contain 54 papers. The special focus in this conference is on Advanced computing and intelligent Engineering. The topics include: Multi-verse Optimizer for Dynamic Stability Analysis Using STATCOM and ...
ISBN:
(纸本)9789811514821
The proceedings contain 54 papers. The special focus in this conference is on Advanced computing and intelligent Engineering. The topics include: Multi-verse Optimizer for Dynamic Stability Analysis Using STATCOM and Power System Stabilizer;Performance Analysis of a Coordinated PID- and UPFC-Based Stabilizer for Stability Improvement;design of Low Power Reduced Complexity Wallace Tree Multiplier Using Positive Feedback Adiabatic Logic;Low-Power 8-Bit Adiabatic Barrel Shifter for DSP Applications;high-Speed Loop Unrolled Grain Architecture in Reconfigurable Hardware;automated Red Lesion Detection: An Overview;enhanced Performance of Android Application Using RecyclerView;personalized Web Search;cooperative Game Theory-Based Request Distribution Model in Federated Cloud Environment;Current Control of a CHB Multilevel Inverter Using PR and Adaptive Fuzzy PI Controller: A Comparison;a Monarch Butterfly Optimization Approach to Dynamic Task Scheduling;automation of Traffic Violation Detection and Penalization;secure Big data Deduplication with Dynamic Ownership Management in Cloud computing;characterization of Range for smart Home Sensors Using Tsallis’ Entropy Framework;call dataanalytics Using Big data;lightweight, Scalable and Secure Middleware for Service-Centric Context-Aware Applications;security Issues in IoT and their Countermeasures in smart City Applications;an Efficient Approach for Running Multimedia Applications Using Mobile Cloud computing;a Comparative Study of Task Scheduling Algorithm in Cloud computing;offer Based Auction Mechanism for Virtual Machine Allocation in Cloud Environment;Pyramid Entropy Source for True Random Number Generator on FPGA;ioT-Based Cardiac Arrest Prediction Through Heart Variability Analysis;application of Group Mobility Model for Ad Hoc Network;vulnerability Analysis of Real-Time Operating Systems for Wireless Sensor Networks.
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