The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Applications of gesture classification and recognition are ubiquitous, from automatic interpretations of sign languages for hearing impaired individuals to real-time communications, commands, and controls of machines in human computer interactions. The desire for maximally natural user experience and interactive user interface of these systems are generally accomplished by computationally expensive...
Power management systems employ appliance recognition such that the burden of manually configuring the system for each appliance is lifted from the user. This research then aims to develop an appliance recognition functionality through current readings gathered from a data acquisition (DAQ) device consisting of Hall Effect current sensors, and through a machine learning classification algorithm called...
Open refrigeration showcases are commonly utilized equipment in super markets and convenience stores to maintain the temperature and quality of foods and drinks. Often set in a broader refrigeration arrangement, where a number of showcases and outdoor condensers are connected, it is a system that remains susceptible to fault events, which can lead to financial losses for stores. Therefore, faults...
Recently, deep learning neural networks have been used for practical applications to improve classification accuracy. However, the training time of the deep learning neural networks increases in proportion to the number of layers. On the other hand, the training time of multiple classifier systems (MCS) based on self-generating neural trees extremely quick. In this paper, we propose a novel pruning...
Sentiment analysis plays a very important role in BI's (Business Intelligence) applications which has been evident in the recent market activities. Towards sentiment analysis for most of the popular websites like Amazon, Facebook, Twitter necessitate the review of the customers which are used as a feedback. It's play very important role for product review, Business intelligence as well as in decision...
Buildings today are a complex integration of structures, systems and technology. Sensors are increasingly being installed in buildings to gather data about the various factors which helps to monitor the health of the structural components. Energy efficiency and network congestion are the most common issues faced by the sensor nodes. The proposed piece of work, uses a bio inspired swarm intelligence...
Versatility of unmanned aerial vehicles has paved the way for drones to be employed in a broad class of tasks from aerial photography to search and rescue, or even emergency medical service such as delivering defibrillator for heart attack victims. Such multi-functionality has sparked an enormous research area which is full of eminently innovative ideas for the smart nations. In this work, a quadcopter...
Data stream mining has gained growing attentions recently. Concept drift is a particular problem in data stream mining, which is defined as the distribution of data may change over time. Most of current methods try to estimate the current distribution or reconstruct the current distribution from a mixture of old distributions. They suffer problems of estimation and reconstruction error respectively...
In learning algorithm design, a direct optimization of a cost function which fits the goal is naturally desired. Particularly in recursive learning, a direct formulation for total-error-rate (TER) minimization is much desired for online classification applications. However, due to a nonlinear counting step in the classification formulation, an exact solution to minimize TER recursively is yet to be...
An approach of automatic Bangla text summarization is presented here by enhancing an existing keyphrase-based method. The enhancement is accomplished with three steps as follows: (i) modifying the keyphrases selection process, (ii) including the first sentence in summary if it contains any title word and (iii) counting numerical figure which is presented in digits and words for sentence scoring. Step...
Brain-computer interface (BCI) technology has to make the possibility for individuals with motor disabilities to control over their environment. EEG signals related to an imagination of movement were used as control signals. In this paper, EEG signals from the 2-class motor imagery data have been calculated for feature extraction and classified. The power of EEG signals, mean of absolute wavelet coefficients,...
This paper describes a novel quasi-Newton (QN) based accelerated technique for training of neural networks. Recently, Nesterov's accelerated gradient method has been utilized for training the neural networks. In this paper the acceleration of the QN training algorithm is realized using Momentum term in Nesterov's method. It is shown that the proposed algorithm has a similar convergence property with...
Inverter-generated high-frequency common-mode voltage and resultant common-mode current cause premature motor bearing failure; hence, high-frequency simulations of induction motors exposed to common-mode voltage are presented to gain insights into the motors' common-mode behavior. In addition, electrical discharge machining, one of the mechanisms responsible for bearing degradation, is modeled by...
Voltage fluctuation is one of the major issues encountered in multilevel inverters as it requires many isolated DC sources. The effect of source voltage unbalance results in unbalanced load current with reduced modulation index. This paper proposes slope suppression techniques to compensate for the source unbalance and achieve balanced output current. It is operated at its maximum modulation index...
Nonlinear phenomena in a digital integral-controlled synchronous Buck converter working in continuous conduction mode (CCM) are studied in this paper. Firstly, the closed-loop model of the system in z-domain is established. Next, the stability boundary of the system is calculated according to the Routh stability criterion. Then, the two nonlinear quantizers, namely the analog-to-digital converter...
The Flying Capacitor Multicell Inverter (FCMI) possesses an inherent balancing of voltage across the capacitors and it is used to distribute the input voltage and minimize the voltage stress. This FCMI's RMS is first controlled with fuzzy controller and the outputs are analyzed, then a suitable Model Predictive Controller (MPC) is considered to be in command of the RMS voltage of the Flying Capacitor...
This paper presents a 2.2 kW two-stage, high frequency AC-DC converter for substation battery charging with Nickel-Cadmium (NiCd) battery. Detailed analytical calculation of the converter parameters, analysis, and simulation studies are carried out to demonstrate the performance of the proposed system. As, substation converters are required to be naturally cooled to eliminate additional mechanical...
This paper mentions about a lower switching noise control method for two-legs three-phase inverter. Usually, six switch devices are necessary to construct three-phase inverter, one of two-legs type inverter can generate three-phase voltage. This type inverter uses voltage divide capacitors, and often uses rectified voltage source with ripple component. To switch control of the inverter, PWM method...
Traffic incidents such as accidents or vehicle breakdowns are one of the major causes of traffic congestion in urban areas. Consequently, accurate prediction of duration of these incidents is considered as one of the most important challenges by traffic management authorities. Although data-driven regression methods can predict the duration of these incidents with reasonable precision. However, the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.