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An increasing interest in energy-efficiency combined with the decreasing cost of embedded networked sensors is lowering the cost of outlet-level metering. If these trends continue, new buildings in the near future will be able to install “smart” outlets, which monitor and transmit an outlets power usage in real time, for nearly the same cost as conventional outlets. One problem with the pervasive...
In this paper an infrared (IR) indoor local positioning system (LPS) is presented. The most relevant low level design aspects are addressed. Using sinusoidal amplitude-modulation (AM) of an infrared carrier, differential distances between a mobile emitter, the position of which is to be obtained, and fixed receivers are measured. The system may yield accuracies at the level of a few cm and addresses...
A technique of load regulation cancellation based on adaptive body bias (ABB) for single-transistor-control low-dropout regulators (STC-LDOs) is presented. The proposed technique is easy to implement and can effectively improve the dc accuracy by 87% for an output current range of 1 to 100 mA, without having to use a high-gain error amplifier. Simulations using a standard 0.18-μm process show that...
During steel-coil shipping, the coil-lifting operation is usually conducted manually by tying a sling belt through the bore hole of the coil, and then the crane moves the coil from the pallet to the ship. To fully automate this process, the key issues are an automated coil lifting mechanism imitating the manual operation and the reliable and accurate recognition methods for coils on a pallet and hold...
Gestures contain enough information to distinguish a person from another. This ‘biometric’ feature is the basis of the Kinect-enabled system described in this paper, which is designed to identify a given person through a short chain of in-air gestures (2–3 ones). The user-dependent (trainable) system relies on a traditional Dynamic Time Warping classification algorithm. This core algorithm enhances...
Spectrum sensing data falsification (SSDF) attack are serious threats to collaborative spectrum sensing (CSS) of cognitive radio networks (CRNs). In this paper, inspired by EM (Expectation Maximization) method, we propose a scheme to estimate the presences of primary user (PU) and the SUs' operating point parameters (false alarm and detection probabilities) iteratively. The key features of the proposed...
This paper presents a bed-leaving detection method using Elman-type Counter Propagation Networks (ECPNs), a novel machine-learning-based method used for time-series signals. In our earlier study, we used CPNs, a form of supervised model of Self-Organizing Maps (SOMs), to produce category maps to learn relations among input and teaching signals. For this study, we inserted a feedback loop as the second...
This article describes the design and implementation of an electrogoniometer to measure joint angles during the execution of weight lifting exercises. The electrogoniometer consists of four microelectromechanical accelerometers connected to a microcontroller. The microcontroller is connected via USB to a computer. Preliminary tests show that the system offers high precision and accuracy at angle measurement...
We propose an algorithm that uses pressure image data to detect a person's sleeping posture and identifies different body limbs. Our algorithm can be used in monitoring bed-bound patients and assessing the risk of pressure ulceration. We used a GMM-based clustering approach for concurrent posture classification and limb identification. Our proposed technique, applied on 9 healthy subjects instructed...
Computer aided-design problems of unmanned aerial vehicles integrated navigation complexes are considered. The design algorithm of unmanned aerial vehicles integrated navigation complexes is proposed.
For energy-based multi-source localization in wireless sensor networks (WSNs), multi-resolution search and expectation maximization algorithms are of either high energy consumption or low localization accuracy. In this paper, we propose a multi-source localization algorithm via sparse reconstruction based on fully distributed structure (MLSR-FD) in WSNs. The fully distributed structure is used to...
In petrochemical industries, one of the most concerned problems is the leaking of toxic gas. Once leaking occurs, the safety of equipments located in production site is greatly threatened, thereby affecting surrounding environment. In order to solve this problem, it is necessary to predict the possible location of leak points from sensors which are located in gas pipe. On the other hand, data from...
The gold standard test for sleep apnea-hypopnea syndrome is full-night polysomnography (PSG). However, PSG with multiple electrodes is extremely stressful for patients. We have developed a non-contact screening system using two Doppler radars. We propose two methods for the diagnosis: the first is a time-varying amplitude baseline method, and the second is a hypopnea detecting technique that focuses...
In the health care domain up to the 70% of the revenues can be due to the staff workload costs, which are rerouted to health care insurances and patients. Therefore, it is of paramount importance to determine how much of these costs are really due to the patient care. Some hospitals adopted Real Time Location System solutions in order to optimize staff workload. However, even though these systems...
Log-distance path loss model have been using as a simple positioning method because of its simplicity which is mainly depends on Received Signal Strength (RSS) along with path loss exponent and random Gaussian noise variable with zero-mean. This model can be extensively used in urban and remote area because it is related to energy representation. On the other hand, fingerprint positioning is also...
Stress affects people's health and well-being of the world's economies. Despite the progress in physiological stress recognition, there are problems that require solutions in the creation of automated systems of stress determination in prolonged real-life situations. These tasks are analysis of stress in daily life, during physical activity and personalization of this analysis. We described these...
Distance-based network localization is a very effective way to obtain the position of nodes in a network via range measuring; this, however, requires nodes with nontrivial sensing capabilities. Range-free techniques, conversely, use much simpler nodes but often provide just a rough estimate on the node's position. In this paper we develop a hybrid localization algorithm that combines range-free and...
This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric...
With the advances in wireless communication and mobile computing, a future infrastructureless self-organizing traffic information system, where vehicles can form a network for exchanging traffic information among themselves, will soon be realized. In an infrastructureless traffic information system, vehicles will act as mobile sensors and collect the traffic data as they travel. Smartphones are a...
Spectrum prediction estimates channel future status from history statistics, which greatly improved the efficiency of spectrum sensing in cognitive radio networks. Current researches mainly focus on improving speed and accuracy of prediction. Few researches discuss the energy-efficient design of spectrum prediction. Since energy-efficient affect working hours and transmission efficiency, that is an...
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