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This technique has the potential to detect debris of small sizes or of low radar reflectivities.
Open accessProceedings ArticleDOI
Samiur Rahman, Duncan A. Robertson 
37 Citations
This work confirms that millimeter-wave radar is suitable for the detection and classification of small UAVs at usefully long ranges.
The results show that the radar is able to detect and locate multiple targets behind walls
Indoor and outdoor tests show the applicability of a radar sensor at a small vehicle.
It is shown that the radar has a potential ability in imaging objects placed in the near range.
Proceedings ArticleDOI
Fauzia Ahmad, Moeness G. Amin 
20 May 2005
21 Citations
The results show that the radar is able to detect and locate multiple targets behind walls.
The radar implements a sensor fusion technique that greatly improves the ability to identify concealed objects.
We further show that exploiting Radar improves the perception capabilities of detecting faraway objects and understanding the motion of dynamic objects.
In addition, 2-D scanning in a complex environment revealed that the proposed radar was able to differentiate human targets from other objects.

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Tiny face detection and recognition?4 answersTiny face detection and recognition is a challenging task due to the limited computational resources and memory constraints of mobile and embedded devices. Several papers propose lightweight face detection models that achieve high accuracy while minimizing model size and latency. Chandna et al. present two deeply quantized (binarized) face presence detection models that can function as wake-up models for resource-constrained embedded platforms. Peng and Yu introduce YuNet, a millisecond-level anchor-free face detector specifically designed for edge devices. YuNet achieves a high trade-off between accuracy and speed with a small model size and low inference latency. He proposes a single-stage network for tiny face detection that incorporates multi-scale contextual feature selection and spatial pyramid pooling modules to improve detectability. Chen et al. propose an extremely tiny face detector based on the tiny-YOLOv3 framework, which achieves comparable performance to larger face detectors while having a small model size and low memory usage.
What are the objects that can be detected on the street view?5 answersObjects that can be detected on the street view include traffic lights and telegraph poles. Additionally, street-level object detection algorithms have been developed and compared, such as YOLOv5, for various use cases including car and traffic detection in self-driving car systems.
What are the pros and cons of bird detection radar?3 answersStep 1: Bird detection radar has the advantage of providing comprehensive information about bird activities in airports, which is critical for preventing bird strikes. However, the performance of bird detection radar can be influenced by factors such as bad weather, complicated electromagnetic environments, and the small size and low altitude of bird targets. Active radar, such as mechanical and phased array radar, performs better in bird detection, but the deployment of active radar needs to estimate the influence on the electromagnetic environment. On the other hand, passive radar does not have transmission models and can ignore the impact of other objects, but it may have limitations in performance. Additionally, radar systems can be used to detect flying bird targets in transformer substations, providing all-weather automatic detection of flying birds in the region. Step 2:Wu et al.Gong et al.Jie et al.Wei et al. Step 3: Bird detection radar has the advantage of providing comprehensive information about bird activities in airports, which is critical for preventing bird strikes. However, the performance of bird detection radar can be influenced by factors such as bad weather, complicated electromagnetic environments, and the small size and low altitude of bird targets. Active radar, such as mechanical and phased array radar, performs better in bird detection, but the deployment of active radar needs to estimate the influence on the electromagnetic environment. On the other hand, passive radar does not have transmission models and can ignore the impact of other objects, but it may have limitations in performance. Additionally, radar systems can be used to detect flying bird targets in transformer substations, providing all-weather automatic detection of flying birds in the region.
Why is object detection used in agriculture?5 answersObject detection is used in agriculture for various reasons. Firstly, it helps in detecting and removing weeds from crops, which is essential for farmers to improve production and reduce the use of herbicides. Secondly, it enables the monitoring of vast areas of crops, allowing for early detection of object characteristics such as signs of disease or damage on plant leaves. Additionally, object detection can be used to detect and identify specific insects, such as whiteflies, which can cause significant damage to agricultural crops. Moreover, object detection models can be benchmarked and compared to human performance, providing insights into the accuracy and limitations of both humans and algorithms in detecting objects in agricultural contexts. Overall, object detection in agriculture helps in improving efficiency, reducing labor, and making informed decisions for crop management.
How does detect the Foreign object debris?4 answersA foreign object debris (FOD) detection system can detect foreign objects using various methods. One method involves using a conveyor debris detection system, which uses a camera to capture images of objects moving along a conveyor. The images are then processed by a processor unit to identify foreign objects, and an alarm is sounded when foreign objects are detected. Another method involves using radar devices positioned adjacent to a runway. These radar devices transmit radar signals and receive reflections from objects, allowing the system to determine the range to the object and detect FOD on the runway. Additionally, a detection device can use detection coils and drive sub-systems to excite and detect differential current signals, which are then processed to generate a control signal based on the presence of FOD. An airport runway FOD detection device combines image acquisition and radar scanning technologies to improve the detection accuracy of FOD on the runway. Finally, a system for FOD identification in a sample uses image comparison and compensation for relative movement between the camera and the sample to increase the success rate of FOD identification.
Which type of wave is used in sonar to detect objects?10 answers

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DORIS frequency shift to avoide Doppler collisions
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To avoid Doppler collisions and mitigate frequency shifts in various systems, different methods and technologies have been developed. These include a Doppler control circuit for radar systems to monitor phase shifts and amplitude differences between targets, a method for frequency synchronization in radio communication systems to correct natural frequencies of mobile units based on transit times and speed of transportation means, and a formalism to accurately estimate collisional frequency shifts in atomic clocks due to collisions with background gas particles and relativistic Doppler shifts. Additionally, automated frequency offset compensation methods have been devised to improve throughput in wireless communication devices by compensating for frequency offsets caused by the Doppler effect. These technologies and approaches help in managing Doppler effects and frequency shifts in various systems efficiently.
What is midas?
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Midas is a versatile tool with various applications. It encompasses a robotics simulation framework based on the Incremental Potential Contact (IPC) model, ensuring stable and accurate resolution of frictional contact. Additionally, Midas includes the Metagenomic Intra-Species Diversity Analysis System 2 (MIDAS2), a scalable pipeline for identifying genetic variants in metagenomes, offering improved precision and recall through customizable reference databases. Moreover, Midas extends to generating synthetic radar data from videos to enhance human sensing capabilities, addressing challenges like multipath reflection and data imbalance, showcasing superior performance in activity recognition and object detection tasks. Furthermore, Midas contributes to energy-efficient hardware by proposing a novel approximate logic synthesis technique based on mutual information, demonstrating enhancements in area, delay, and error metrics compared to existing methods.
What is the radiomic/ radiogenomic workflow?
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The radiomic/radiogenomic workflow involves the quantitative analysis of biomedical images to extract radiomic features, which are then correlated with clinical and biological endpoints. This workflow typically includes image acquisition, segmentation, feature extraction, and analysis of high-dimensional datasets. Radiomic features capture tissue characteristics like heterogeneity and shape, providing additional insights beyond simple data quantitation. The process may also involve the application of artificial intelligence for segmentation, termed AI-augmented radiomics, and the extraction of deep radiomic features using convolutional neural networks. Challenges in the workflow include variations in scan acquisition settings affecting the reproducibility of radiomic features, which can be addressed through robust radiomics analysis and post-reconstruction feature harmonization methods. Standardization of image acquisition protocols is crucial for improving reproducibility and generalizability of radiomic signatures.
How to simulate the RCW of moving target?
5 answers
To simulate the Radar Cross Section (RCS) of a moving target, various methods can be employed. One approach involves using a new universal radar target simulator (RTS) based on multirate sampling, which allows for realistic emulation of moving targets across different radar types and signals. Another method includes developing an exact RCS modeling technique based on measured data, where the target's motion characteristics are extracted and integrated into the model for precise electromagnetic scattering calculations. Additionally, utilizing a cross-transmitted double-stepped frequency (DSF) waveform combined with a phase-cancellation technique can help obtain stationary High-Range-Resolution Profiles (HRRP) of moving targets, improving signal-to-noise ratio and adaptability to higher speed targets. These methods offer effective ways to simulate the RCS of moving targets with enhanced accuracy and applicability.
How supercell make revenue?
5 answers
Supercell generates revenue primarily through its hit games like Hay Day, Clash of Clans, Boom Beach, and Clash Royale, which have been immensely profitable. These games attract a large user base, leading to in-game purchases, advertisements, and other monetization strategies. Additionally, Supercell's success in the gaming industry has attracted significant investments and acquisitions, such as Tencent's purchase of a majority stake in the company for $8.6 billion. The company's focus on developing engaging and popular games has been a key driver of its revenue generation, with a strong emphasis on user engagement and retention strategies. Furthermore, the company's ability to create games that resonate with a global audience has contributed significantly to its financial success.
What is mmwave frequency band in Malaysia that approved by MCM?
4 answers
The mmWave frequency band approved by the Malaysian Communications and Multimedia Commission (MCMC) is 26 GHz, which falls under the Ka Band category. This frequency is widely used for local multipoint distribution service deployment in tropical regions like Malaysia. Studies have shown that at 26 GHz, rain attenuation can impact data link reliability during rainfall, making it crucial to have accurate prediction models for terrestrial links operating at this frequency in tropical climates. The use of ITU-R model, revised Moupfouma model, revised Silva Mello model, Lin model, and the newly introduced Abdulrahman model have been explored to predict rain attenuation at 26 GHz in Malaysian tropical regions. The research emphasizes the importance of selecting the most suitable prediction model to enhance the performance of 5G links in such environments.
What is mmwave frequency band in Malaysia that approved by MCMC?
5 answers
The Malaysian Communications and Multimedia Commission (MCMC) has approved the use of the millimeter wave (mmWave) frequency band for various applications in Malaysia. Specifically, the frequency range of 26 GHz has been extensively studied for local multipoint distribution service deployment in tropical regions, including Malaysia. Additionally, the use of the 38 GHz frequency band has been evaluated for wireless systems deployment, considering rain-induced attenuation challenges in the Malaysian tropical climate. These frequency bands hold significant potential for future technology advancements, offering high data rates and improved wireless communication capabilities in Malaysia.
How to remove multipath reflextions in an fmcw radar?
5 answers
To remove multipath reflections in an FMCW radar, several methods have been proposed. One approach is to use time-frequency filtering based on spectrogram zeros or chirp rate estimation, fractional Fourier Transform (FrFT), and band-pass filtering to retrieve the original pulse signal. Another method involves designing a high-gain and Fans-Shaped Beam (FSB) antenna, which can improve radar imaging performance by overcoming multipath effects caused by ground reflection. Additionally, effective solutions for indoor multipath mitigation have been devised based on a co-located MIMO frequency-modulated continuous-wave (FMCW) radar. These solutions utilize a velocity-azimuth domain suitable for false alarm reduction and intra-and inter-frame integration to enhance the human signal-to-interference-plus-noise ratio. Furthermore, a method and device have been developed for eliminating multipath targets in radar target detection, which involves comparing the location information of all targets and removing the multipath target. Finally, a method using discrete prolate spheroidal sequences (DPSS) has been proposed to reject multipath-scattered returns and increase target signal-to-interference-plus-noise ratio in continuous wave (CW) radar systems.
Why use variance from echo radar UWB to extract vital signs?
4 answers
Variance from echo radar UWB is used to extract vital signs because it helps in identifying and locating human targets by separating weak vital sign echo signals from various noises. This is achieved by combining sample entropy (SE) and singular spectrum decomposition (SSD) techniques. The SE value of the radar received pulse is used to determine the human target position, while the SSD method is used to obtain respiration and heart rate information. Additionally, the use of UWB radar allows for non-contact detection, providing a non-intrusive and privacy-preserving method for monitoring vital signs. The combination of UWB radar and variance analysis techniques offers accurate and effective extraction of vital sign information, making it valuable for applications in medical care, survivor rescue, and emotion detection.
What is a common significant wave height under which jack-ups can still install monopiles?
5 answers
Jack-up offshore platforms can withstand wave heights of at least 3, 5, and 7 meters without significant instability or plastic deformation in the seabed foundation near the pile legs. The dynamic response characteristics of a jack-up offshore platform and its seabed foundation were studied under conventional wave conditions, and it was found that only small amplitude periodic sloshing occurs under these conditions. The maximum sloshing amplitude observed was 8 cm, and there was no visible residual displacement. Therefore, it can be concluded that jack-up offshore platforms can still install monopiles under wave heights of at least 3, 5, and 7 meters without significant issues.
What Structure of the atmosphere?
4 answers
The structure of the atmosphere is a topic of interest in several papers. One paper discusses the use of VHF band stratosphere/troposphere (ST) radars to capture backscatter images of atmospheric structures. These images reveal various structures such as Kelvin-Helmholtz billows, mid-level cloud-base turbulence layers, convective boundary layers, and sheet and layer structures. Another paper investigates the motion of fluid particles in a system of vortex rings and identifies three distinct shapes of the "atmosphere" of fluid particles. A third paper presents observed thermal and humidity structures of the Earth's atmosphere and supports the notion that the global average clear sky greenhouse effect has remained unchanged with time. Additionally, a paper develops a hydrodynamic atmosphere model to study the thermal and chemical structures of planetary upper atmospheres, specifically focusing on the Earth's upper atmosphere. Finally, a paper discusses the idea that large-scale atmospheric structures, such as weather systems, are more nearly two-dimensional due to the quasi-geostrophic approximation.