MIMO System Model for one data stream
STREAM: The Stanford Data Stream Management System
... (pub-sub) system, ...the system to users who have registered matching ...pub-sub system to a DSMS by considering publications as streams and subscriptions as continu- ous ...pub-sub system has ...
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Mining Data Streams. Chapter The Stream Data Model
... A data-stream-management system 4.1.1 A Data-Stream-Management System In analogy to a database-management system, we can view a stream processor as a kind of ...
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Incremental aggregation model for data stream classification
... online data stream processing, data stream classification task confronts several challenges such as, concept drift, concept evolution and partial labeling due to the dynamic nature of ...
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INCREMENTAL AGGREGATION MODEL FOR DATA STREAM CLASSIFICATION
... online data stream processing, data stream classification task confronts several challenges such as, concept drift, concept evolution and partial labeling due to the dynamic nature of ...
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A Throughput Model for Data Stream Processing on Fog Computing
... consider one or multiple criteria when placing DSP applications on a Fog ...a model for each considered metric when aiming to optimize ...Throughput Model is designed to work as a plug-in that during ...
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Ensemble Stream Model for Data-Cleaning in Sensor Networks
... enhanced model not only improves the statistical assumptions, it performs much better in error handling, which is one of the major disadvantages of large, low resource energy constrained sensor ...work ...
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CDDM: Concept Drift Detection Model for Data Stream
... The model's ability to detect gradual drift has been assessed in the third scenario. The results in Table 4 show that W-CDDM outperforms the rest in terms of accuracy, and detection delays, except in NB classifier ...
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Implementation and performance evaluation of a MIMO-VLC system for data transmissions
... is one of the new technologies that presents in- creased interest from the research community to study its capabilities and the possibilities of integrating it within the next generation of wireless networks, like ...
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rEMM: Extensible Markov Model for Data Stream Clustering in R
... as data arrives using data stream clustering where each cluster (or micro-cluster) is represented by a state in the ...this one-to-one relationship we use cluster and state for EMM ...
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Coverage performance in multi stream MIMO ZFBF heterogeneous networks
... SDMA system over-performs ZF-FRT system. Multi- stream ZF-FRT system and multi-user SDMA system are fundamentally different as in the former all the transmitted streams to a user are ...
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Coverage Analysis of Multi Stream MIMO HetNets with MRC Receivers
... multi-stream MIMO-MRC HetNets. Despite the practical significance of MIMO-MRC — chiefly because of its straightforward implementations, affordable computational complexities, and near to zero ...
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ADAPTIVE DATA STREAM MANAGEMENT SYSTEM USING LEARNING AUTOMATA
... There are bold challenges about DSMSs. Dynamic features of system, specifications of input data streams, the output and queries while executing the continuous queries, all may change significantly. When ...
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Data Is a Stream: Security of Stream-Based Channels
... the model. An example of a security notion that—one might argue—is too strong is IND-CCA security for symmetric ...if one starts with an IND-CCA-secure encryption scheme and modifies it by letting ...
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SVM-based Channel Estimation and Data Detection for One-Bit Massive MIMO Systems
... using one- bit ADCs have been previously proposed in [8], [40], and [41] based on the Bussgang decomposition, Additive Quantization Noise Model (AQNM), and deep learning, ...only one OFDM symbol is ...
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Sensors Data-Stream Processing Middleware based on Multi-Agent Model
... allows data aggregation / inference or ...special data. A special data corresponds to the builder rule left-side ...special data, is a number between -5 and 35, without decimals, and for the ...
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Data stream clustering by divide and conquer approach based on vector model
... 99 data set which related to the features of network connec- tion data derived from 7 weeks of raw TCP logs consisting of both regular network traffic as well as 24 types of simulated attacks within a ...
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Real-time spatio-temporal data mining with the streamonas data stream management system
... 3.2 Database design ST-Cuboids have a role as fundamental for our DSMS as the role of a Relation in a Relational DBMS. Figure 1, presents the spatio-temporal cuboids of the database supporting simultaneously the Linear ...
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Preemptive Rate-based Operator Scheduling in a Data Stream Management System
... the system must pass through a unique sequence of operators, referred to as an operator path ...to stream Str might contain specialized operators that are only applicable on tuples from Str, in addition to ...
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A Flexible Network Monitoring Tool Based on a Data Stream Management System
... as system requirements evolve. PaQueT al- lows one to monitor values ranging from packet level met- rics to those usually provided only by tools based on Net- flow or ...Borealis Data Stream ...
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Review on Optical Mimo System
... and MIMO were assessed in the presence of future ...the data retrieving for a specific user, can be applied to reduce the complexity of the demodulation problem while maintaining and, even improving, the ...
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