Signal Processing
More than 85% of traffic utilization via mobile phones are consumed in the urban area, and most of the traffic is used for downloading. Improving the throughput in LTE for 1 user equipment (UE) in cities is an urgent problem. The collected data is intended to study a dependence of the KPI mobile base station and neighboring from installation extra technology. This study will support the development of methods for comparing traffic utilization of urban area and carry out recommendations for the Channel Quality Indicator (CQI) increases.
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529 Views
Ultrasonic flowmeters that use transit-time ultrasonic transducers face measurement errors due to ``crosstalk,'' whereby the working signal travels through the pipe wall and couplings, interfering with the signal from the fluid. Although various procedures have been proposed to solve the issue of crosstalk, they're limited to low-frequency ranges, or they are not effective in high-pressure environments.
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20 Views
The experimental data provide hand motion signals and forearm EMG signals generated during simulated Parkinson's tremor in 10 normal subjects. The sampling frequency of the experimental equipment IMU is 100Hz, and the sampling frequency of the myoelectric armband Myo is 200Hz. The collection process of this experimental data has been approved by the Ethics Review Committee of Harbin Institute of Technology. In order to protect the privacy of the subjects, the author's consent is requested before using this data.
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283 Views
This dataset is about UAV signals.
Both indoor and outdoor experiments are conducted.
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913 Views
Microwave Filter Design Kit, this CAD tool is used to design and analyse filters.
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1398 Views
Human activity data based on wearable sensors, such as the Inertial Measurement Unit (IMU), have been widely used in human activity recognition. However, most publicly available datasets only collected data from few body parts and the type of data collected is relatively homogeneous. Activity data from local body parts is challenging for recognizing specific activities or complex activities. Hence, we create a new HAR dataset which is colledted from the project named MPJA HAD: A Multi-Position Joint Angles Dataset for Human Activity Recognition Using Wearable Sensors.
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1644 Views
Due to the smaller size, low cost, and easy operational features, small unmanned aerial vehicles (SUAVs) have become more popular for various defense as well as civil applications. They can also give threat to national security if intentionally operated by any hostile actor(s). Since all the SUAV targets have a high degree of resemblances in their micro-Doppler (m-D) space, their accurate detection/classification can be highly guaranteed by the appropriate deep convolutional neural network (DCNN) architecture.
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6405 Views
In the view of national security, radar micro-Doppler (m-D) signatures-based recognition of suspicious human activities becomes significant. In connection to this, early detection and warning of terrorist activities at the country borders, protected/secured/guarded places and civilian violent protests is mandatory.
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6403 Views
室内环境设置为长、宽、高分别为21m、21m和3m。内部由九个房间组成，每个房间都有混凝土墙、天花板和地板，门窗分别由木板和玻璃制成。参考点和测试点的数量分别为324和361，用红色和黄色方块表示，房间内配备6个AP。
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165 Views
This dataset containg EMG data recorded with a sample rate of 1kHz. Data was collected from the brachioradialis, flexor carpi ulnaris and common extensor digitorum muscles.
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538 Views