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Online customers can profit from online customers' reviews (OCR) to make a better decision of purchase. Reviews consist of advantages and disadvantages of products which provide an important resource for individuals and companies to evaluate their customers' real needs as well as precious resource for product and service improvement. In this research, we proposed a novel algorithm for mining online...
In this paper, an overview on existing data mining techniques for time series modeling and analysis will be provided. Classification of available literature on time series data mining shows that the main research orientations can be divided into three subfields: Dimensionality Reduction (Time Series Representation), Similarity Measures and Data Mining Tasks.
As more and more distributed generators with intermittent characteristics are applied in microgrids, centralized control scheme encounters great challenges. In this paper, a fully distributed cooperative control scheme for Virtual Synchronous Generator based microgrid is proposed. Specifically, Virtual Synchronous Generator algorithm is developed as the primary controller of microgrid such that inverter...
In this paper, alternative signal set designs for higher order constellations based on combinatorial structures are proposed. These system designs are practical for 5th and future generation of systems. Non-Orthogonal Multiple Access (NOMA) is currently recognized as a promising multi-access technique for fifth generation (5G) networks. NOMA techniques ensure that multiple users share the same spectrum...
Sparse representation based classification (SRC) has been introduced as a new algorithm for face recognition classification instead of the classical gradient-based algorithms. However, there are some limitations that influence the robustness properties in SRC. One of the most effective parameters that impacts the SRC performance is the directory of training samples. It should contain enough samples...
Seizures affect a significant portion of the world's population and while a small proportion of the seizures are easy to detect, the vast majority are subtle enough to require the expertise of a neurologist. In this paper, we present a multifaceted computational approach to detecting the presence and locality of a seizure using Electroencephalography (EEG) signals. We test the proposed approach using...
We live in a world where energy savings has become a frequently discussed topic. In this study, the design of a Smart Power Strip is discussed which can be operated using a smartphone. The Smart Power Strip will allow for a user-friendly experience to limit the amount of electricity consumed in the common power strip. The overall embedded system design and the Android app development are discussed...
Helping people with visual difficulties navigating indoor is challenging. Unlike most of outdoor navigation systems, indoor navigation devices are not able to receive satellite signals. Moreover, indoor navigation usually requires higher positioning accuracy when compared with outdoor applications. In this paper, we propose an indoor positioning system based on AR (augmented reality) markers and computer...
Parallel programming is becoming more and more prevalent in this era of concurrent programming. Because of the nondeterministic nature of parallel programming, it is notoriously difficult to debug concurrency bugs, moreover attempt to fix one bug may result in deadlock or other concurrency bugs. Though many static and dynamic data race detection tool is proposed in recent years, none of them is interactive...
In contrast to the previous generation of power grid codes, recent standards require that distributed energy resources (DERs) provide low-voltage ride-through (LVRT) capabilities during grid faults. Consequently, the high penetration of DERs in today's power system requires an efficient method of controlling the active and reactive power of those resources during normal as well as abnormal voltage...
Tracking people and localizing objects within indoor environments have become a necessity and thus motivated many researchers to tackle this challenge. Indoor positioning systems (IPSs) have been proposed using several technologies and efforts are honing down on mitigating the positioning error. The Received Signal Strength (RSS)-fingerprint based IPS has been recognized as one of the possible most...
Mobile sensor networks (MSNs) enable extensive applications of data collection, such as accident report in transportation and health prediction in public health. Incentive mechanism (IM) is applied for sensing user (SU) recruitment. However, the IM used in traditional MSN is not efficient due to limited information of SU used for recruitment. With the development of cloud computing technology, cloud-based...
Electronic power grid is a distributed network used for transferring electricity and power from power plants to consumers. Based on sensor readings and control system signals, power grid states are measured and estimated. As a result, most conventional attacks, such as denial-of-service attacks and random attacks, could be found by using the Kalman filter. However, false data injection attacks are...
DNP3 (Distributed Network Protocol) is a recent protocol having been standardized by the IEEE 1815 standard in 2012. It is employed predominantly in the electric utility industry. The advent of DNP3 over TCP/IP made many devices and networks available on the internet which prompted attacks and exploits by several researchers and organizations. In the period 2007 to 2009 there were 27 attacks [1]....
Network equivalents are used to reduce the size of electrical systems that can be difficult to solve due to computational constraints. They are also useful for cases in which it is sufficient to model in detail only a portion of the system that is relevant for the study to be performed. The purpose of this work is to apply Kron's reduction method in combination with frequency domain modeling techniques...
People spend most of their time indoors. This is why indoor air quality is one of the key factors affecting our health, activeness and quality of life. Buildings we are living in should give us comfortable and healthy conditions. Buildings equipped with HVAC-systems often operate using default settings with no automation installed causing problems in indoor air quality and building structures. In...
This paper investigates the use of stacked depletion-mode n-channel MOSFET (D-MOS) for RF switch applications. Compared to the commonly used enhancement-mode MOSFET (E-MOS), the D-MOS transistor offers a significant reduction in on-state resistance (RON) and off-state capacitance (COFF) simultaneously and an excellent figure of merit (RonX Coff) of 134fs (roughly 3X improvement) can be achieved. With...
Wireless Sensor Networks (WSNs) are sensor based networks that are widely used in various critical applications and require the network to have a prolonged lifetime. However, these networks rely on battery-operated sensors that cause the network to be resource-constrained. Therefore, there is a continuous urge to efficiently exploit the network's energy, and henceforth, prolong the network lifetime...
This paper proposes a novel online condition monitoring algorithm estimating battery states and model parameters. The proposed method includes: 1) an electrical circuit battery model incorporating the hysteresis effect, 2) an extended Kalman Filter-based online parameter identification algorithm for the electrical battery model, and 3) a smooth variable structure filter (SVSF)-based state estimation...
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