Twitter is amongst the most popular social networking and micro-blogging service today with over a hundred million users generating a wealth of information on a daily basis. This paper explores the automatic mining of...
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Twitter is amongst the most popular social networking and micro-blogging service today with over a hundred million users generating a wealth of information on a daily basis. This paper explores the automatic mining of trending topics on Twitter, analyzing the sentiments and generating summaries of the trending topics. The trending topics extracted are compared to the day's news items in order to verify the accuracy of the proposed approach. Results indicate that the proposed method is exhaustive in listing out all the important topics. The salient feature of the proposed technique is its ability to refine the trending topics to make them mutually exclusive. Sentiment analysis is carried out on the trending topics retrieved in order to discern mass reaction towards the trending topics and finally short summaries for all the trending topics are formulated that provide an immediate insight to the reaction of the masses towards every topic.
For online control of various dynamical systems, an adaptive artificial neural network (ANN) based proportional integral derivative (PID) controller is developed. For linear time invariant processes, conventional PID ...
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ISBN:
(纸本)9781467385886
For online control of various dynamical systems, an adaptive artificial neural network (ANN) based proportional integral derivative (PID) controller is developed. For linear time invariant processes, conventional PID controller is suitable but they have limitations when they are required to control the plants having high non linearity or their parameters are changing with the time. In order to find the parameters of PID controller, information regarding the dynamics of the plant is essential. If perturbation occurs in plant parameter(s) then PID controller may work only if these changes are not severe. But most plants are either non linear or their parameters changes with time and this demands for a use of more robust type of controller and ANN is a suitable candidate. To use the power of PID controller and ANN, ANN based PID controller is proposed in this paper. The benefit of this combination is that it utilizes the simplicity of PID controller mathematical formula and uses the ANN powerful capability to handle parameter variations and non linearity.
Temperature to frequency converters (TFC) have been used as thermistor signal conditioning circuit (SCC) and linearization. Many TFC have been proposed by the researchers out of which 7555 timer based SCC has been emp...
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ISBN:
(纸本)9781467385886
Temperature to frequency converters (TFC) have been used as thermistor signal conditioning circuit (SCC) and linearization. Many TFC have been proposed by the researchers out of which 7555 timer based SCC has been employed in several applications. The application of 7555 timer based SCC demands a method for generating the optimal circuit parameters yielding desired linearity and sensitivity for a given input temperature range. Two classical methods, namely, inflection point and three point methods have been employed by several researchers for this task. These classical methods, being simple in nature, offer moderate linearity and the residual non-linearity is normally further improved with the help of other supporting methods like software based techniques. In the present work, a linear numerical search based scheme is proposed to enhance the linearization capability of 7555 timer based SCC in TFC. The enhancement is attained by just selecting the appropriate value of a resistor in SCC application. The proposed method has been investigated in simulation on three different industrial grade thermistors for the input temperature range of 0℃-100℃ for 7555 based SCC. An enhancement of linearity performances of 4.9%, 4.7% and 4.7% have been obtained over the three point method and 21.7%, 18.3% and 17.8% over the inflection point method for thermistor 1, thermistor 2 and thermistor 3, respectively. Based on these data it can be concluded that linear numerical search a promising solution for linearity enhancement of thermistors in 7555 SCC. The results presented in this work are useful to the design engineers as enhanced linearity also reduces the requirements of further processing.
Real world networks comprise of number of communities that are weakly linked to each other. Discovering such communities is an important task in social networks. Social networks also consist of overlapping communities...
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Real world networks comprise of number of communities that are weakly linked to each other. Discovering such communities is an important task in social networks. Social networks also consist of overlapping communities in which some nodes are common to multiple communities. While existing approaches give promising results on detecting the overlapping communities, they neglect the importance of overlap nodes in the communities. Overlap nodes are the nodes which act as interface between multiple communities. In this paper, we first find the overlapping communities and then find the influence and importance of overlap nodes in the communities to which it belongs.
In today's era, most of the softwares are developed using Object Oriented Programming languages. Testing is the integral part of development process for ensuring the quality and reliability of the software. Howeve...
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In today's era, most of the softwares are developed using Object Oriented Programming languages. Testing is the integral part of development process for ensuring the quality and reliability of the software. However, testing is needed to be measured in some order to really know its effectiveness. For measuring the effectiveness of the testing, testing metrics are used. This paper empirically explains the role of testing metrics on the applications or softwares that are developed using object oriented programming languages. To do this, testing metrics are applied on various projects in order to determine their advantages and usefulness in managing the software development process, software product and software project.
Functionally graded materials (FGM) which are also called tailor made materials, are composites with continuously varying mechanical properties. The limitations on the component materials available for specific RP pro...
Functionally graded materials (FGM) which are also called tailor made materials, are composites with continuously varying mechanical properties. The limitations on the component materials available for specific RP processes calls for the development of tailor made material properties in the available material options. This paper proposes a technique to develop and fabricate FGM using Fused Deposition Modelling (FDM) technique. An attempt is made to relate the FDM process parameters with the material properties for the given ABS material. These relations are used to assign tailor made properties to the component in various regions. By actual CAD modeling and analysis using ANSYS 14, it is established that the deformation due to given load is considerably reduced for the component made by assigning unique set of parameters in a customized fashion.
Many algorithms have been designed in the past that tackle the problem of concept drift in data streams. We present a new approach Weighted Novel Class Detection (WNCD), a diversified ensemble approach that combines t...
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ISBN:
(纸本)9781467365413
Many algorithms have been designed in the past that tackle the problem of concept drift in data streams. We present a new approach Weighted Novel Class Detection (WNCD), a diversified ensemble approach that combines the concepts of ensemble learning, instance weighting and diversity, for handling drifting concepts and detection of novel class instances. Based on the empirical results using various artificial and real time datasets, WNCD gives better performance as compared to the existing online approaches in handling concept drift and novelty detection.
Thermistor is a novel temperature sensing device as it is highly sensitive while being rugged, compact and of low cost. The only drawback with a thermistor is its exponential nonlinear relation between temperature and...
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Thermistor is a novel temperature sensing device as it is highly sensitive while being rugged, compact and of low cost. The only drawback with a thermistor is its exponential nonlinear relation between temperature and resistance. Therefore, a mechanism to make the thermistor a linear device is an essential requirement for thermistor based temperature measurements. Several linearizing techniques have been proposed by the researchers, and out of these, interpolation is widely used due to its easy implementation while offering good linearity. The present work aims to provide a comparative study for five interpolation based linearization methods namely Nearest, Linear, Spline, Cubic Hermite and Lagrange. These techniques have been successfully simulated and implemented on FPGA in LabVIEW environment and a performance comparison has been made on the basis of the Mean Square Error (MSE), Mean Absolute Deviation (MAD) and hardware resource (HR) utilization. In this paper, MSE for Nearest, Linear, Spline, Hermite and Lagrange has been found to be 247.5×10-6, 71.5×10-6, 7.57×10-6, 25.5×10-6 and 2.84×10-6 respectively and MAD has been found to be 52.6×10-4, 20.008×10-4, 7.07×10-4, 9.92×10-4 and 3.142×10-4 respectively for 20 sections. It was also observed that nearest interpolation used minimum (21% slices), Hermite used maximum (71% slices) and Lagrange method used moderate (42% slices) HR. Experimental validation results demonstrated MSE for Nearest, Linear, Spline, Hermite and Lagrange interpolation as 583.47×10-6, 146.2×10-6, 63.165×10-6, 77.97×10-6, and 6.86×10-6, respectively and MAD of 75.886×10-4, 44.128×10-4, 20.9×10-4, 22.635×10-4 and 9.1129×10-4, respectively. Based on the above result Lagrange method offers the best interpolation while utilizing HR.
Quality of Electrocardiogram (ECG) signal is very important for patient health diagnostics. ECG consists of frequencies ranging from 0.01 - 300Hz, while being a very small magnitude signal. ECG usually gets corrupted ...
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ISBN:
(纸本)9781479984374
Quality of Electrocardiogram (ECG) signal is very important for patient health diagnostics. ECG consists of frequencies ranging from 0.01 - 300Hz, while being a very small magnitude signal. ECG usually gets corrupted by the 50Hz power line interference (PLI). Thus, filtering out the PLI is a necessary task for the right diagnostics. In this work a second order efficient digital infinite impulse response (IIR) notch filter is designed to suppress PLI. For this task, Minimax optimization technique has been utilized to minimize the root mean square error (RMSE) defined as the difference of magnitude response of ideal and proposed IIR notch filter designs. The optimization process was able to set pole position close to the unit circle and the pass band gain is so chosen so as to have symmetrical performance resulting in attenuation at 50Hz notch of -260dB, a gain of 0.995 and -3dB bandwidth of 2.375Hz. The performance of the designed filter has been investigated theoretically as well as validated experimentally on a contaminated ECG signal and a pure sinusoid signal of 50Hz on field programmable gate array (FPGA) in the LabVIEW environment. In simulation, a power spectral density (PSD) of -30dB has been achieved for the simulated ECG signal originally having 4dB PSD at 50Hz and an attenuation of -30dB in PSD has been obtained for a pure sinusoidal signal. The designed filter was also implemented on FPGA a PSD of -26dB was obtained for ECG at 50Hz and -26dB for sinusoidal signal, respectively. Based on these studies it can be concluded that the proposed Minimax based notch filter design is an efficient one.
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