Communications
The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.
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The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.
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An integration process for the fabrication of thin film bulk acoustic wave resonator (FBAR) above the CMOS IC is proposed. An adhesive-bonding-based film transfer technique is utilized to transfer high resistivity Si film onto a CMOS chip. Benzocyclobutene (BCB) is used as an adhesive film. It is a heat resistive polymer and processes of temperature up to 300 C are allowed on it. The CMOS is protected by BCB and thus is not damaged by plasma and chemical treatments.
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The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value
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I.INTRODUCTION ANN artificial neural networks recover your reproducible sound and vision clarity as its low carbon energy using silicon wave the effect it produces near bomb devices is extremely affective to sensory nerves and site versioning of 32 feet.Net is useful for all societies across the world fighting against nuclear weapons its basically Cognitive Sciences integrated Computer Science seismic activity detection using its waves in Bluetooth. Devices as they are short haul waves for long distance communication.
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Media-based modulation (MBM) is an attractive modulation scheme where
information bits are conveyed by digitally controlling the ON/OFF status
of radio frequency mirrors (which are parasitic elements) placed near the transmit antenna. The MBM alphabet (which is the set of channel fade
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This dataset includes all the datum of our numerial simulations, which are generated from networks with 5-25 end-to-end paths.
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EN-US
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Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living).
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