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Urban villages (UVs) are a special type of urban settlements in China. Their spatial evolution in recent years has a close relationship with urban planning and economic development. However, the remote sensing community pays little attention to UVs. This paper presents a new semantic scene model based on primitive indexes for detecting UVs using high resolution remotely sensed imagery. The model represents...
From a perspective of feature extraction, we present a histogram-based sparsity descriptor (HSD) which is derived from the robust principal component analysis (RPCA) and histogram technique. Given a test image, sparse error images with respect to each class can be obtained by using RPCA decomposition. In order to extract the facial features in terms of intensity distribution, a sparseness measure...
In this paper, a new human feature based method is proposed for the intelligent HMRI (Human-Mobile Robot Interaction) in the indoor life science laboratories. The proposed method includes the contents as: (a) the Microsoft Kinect Sensors equipped on the mobile robots are adopted to detect the human and measure their face color images; (b) the different face features in the measured face images are...
This paper investigates how to determine the nodes' locations in wireless sensor networks (WSNs) with only distance measurements. We extend our formation algorithm given in [1] to this localization problem. This extension includes three terms: the estimation of initial position, time-varying step size and decaying coefficient. It is verified that excellent performance can be derived, and the global...
BOF (Basic Oxygen Furnace, BOF) steelmaking endpoint prediction is one of the most important steps in the blowing process. The flame recognition has proven as a useful method for endpoint prediction. But the previous methods are not suitable to extract the flame characteristic because of flame randomness and multi-scales problems. A multi-scale color difference histogram features weighted fusion method...
The atmospheric environment is facing increasing threats from industrial pollutions. This paper presents an air pollution source estimation algorithm using mobile sensor networks. We propose a continuous point source model of pollution under windy conditions. Then we use quadrocopters which equipped with sensors that can detect pollutants to collect concentration information. Based on the collected...
One of the major challenges for high speed channel simulation is generating reliable and accurate material models for dielectric constant and loss tangent. Existing industry-standard method often relies on the electrical properties of traveling wave along a transmission line, which could suffer from the roughness effect of the copper trace, consequently introduces errors into extracted value and often...
This paper presents a collision avoidance system based on human-robot interaction for mobile robots, which are working alongside to humans. In the future work environments, mobile robots will work side by side to humans. This raises big challenges related to the safety of the human and the ability of the robot to identify the people, interact with them and avoid physical accidents to them. To realize...
While there were high hopes for multihop wireless networks (mesh) to provide ubiquitous WiFi in many cities, in-field trials revealed the node spacing required for WiFi propagation induced a prohibitive cost model for network carriers to deploy. However, the digitization of TV channels and new FCC regulations have reapportioned spectrum for data networks with far greater range than WiFi due to lower...
Environmental factors that lead to the movement and type of obstacles in and around wireless links are well-known to directly affect channel characteristics. However, while mobile users typically have repeatable daily or weekly patterns with common locations being frequently visited, many protocols along the network stack do not attempt to identify when physical locations are revisited. If wireless...
For the localization problem of mobile robots in 3D space, vision-based methods are being extensively investigated in recent years, due to the information richness provided by images. To improve the robustness and continuity, usually more sensors are introduced to assist visual localization in practices. In this paper, we propose a geometric model of fusing IMU data into the visual tracking process...
Cloud robotics augments robots by various cloud computing resources. Although it is regarded as a revolutionary paradigm in robotics, building a cloud robotic application is still a complex task today. Great efforts have to be made to develop the robotic-oriented cloud services, deploy them onto the cloud and integrating robotic software with them together. In this paper, we propose a cloud platform,...
Obstacle detection is one of the main components of the control system and navigation of autonomous vehicles. This paper presents a novel approach to obstacle detection and segmentation with a RGB-D sensor. Different from the traditional approaches which only detect whether there exist obstacles, our approach not only can detect the obstacles but also can distinguish between dynamic obstacles and...
This paper, design and utilize the implementation of 8 × 2 outdoor single-user multiple-input, multiple-output (SU-MIMO) systems for time division duplex LTE-A channels at 2.680 GHz to 2.690 GHz. With this purpose, there is a need for accurate and actual radio propagation model at these bands where around the Shanghai Jiao Tong University (SJTU) campus network. In that SU-MIMO testbed, both the transmitter...
The paper presents a second-order sliding-mode (SOSM) control approach for buck inverters. The proposed controller with a simple digital state-machine implementation stabilizes buck inverters without current sensing or any integral term. The operation principle of the controller and transient behaviors are analyzed. The adaptive parameters of the proposed controller which are independent of the load,...
A new robust method is developed for elevator operation in semi-outdoor environment for mobile robot transportation systems in life science laboratories. Elevator operation includes the entry button detection, floor button recognition, and reading of current floor information. Different techniques have been employed for the elevator operation including HSL color representation, adaptive binary threshold...
Modular Multilevel Converter (MMC) has been becoming a very important solution for high power and medium power applications, where the efficiency and reliability performance are crucial design considerations. In this paper, three widely used modulation methods for MMC, Phase Shift PWM (PSPWM), Phase Disposition PWM (PDPWM) and Nearest Level Modulation (NLM), are comprehensively investigated to uncover...
Aiming at the problems in view of existing obstacle detection method, such as low adaptability and low recognition rate in the environment of lighting, multi-objective and background interference, an obstacle detection method based on restricted region growing and saturation characteristics is proposed. Firstly, the original image containing the edge information is processed by the restricted region...
This paper proposes a novel modular design concept for package physical design, and a modularized and parameterized modeling technique for package model library creation. The proposed modular design reduces the physical design/review cycle by ~50% and can significantly improve the performance consistency. The modularized modeling technique requires the breakdown of the full package model into vertical...
Design of memory I/O channels or general purpose I/O (GPIO) has become very complicated as we aim for higher speeds, higher I/O count and cost-effective solutions. At these speeds, package and die discontinuities cause more deterministic jitter and noise due to inter-symbol interference (ISI) effects and crosstalk. Therefore, to improve timing margins, engineers have to carefully study impact of package...
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