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This research focused on distance measurement using Received Signal Strength Indicator (RSSl) that utilizing Pythagoras theory to get the position of a smartphone with the help of 4 Access Point (AP) in indoor environment. There were many research have been done in this area, but the issue is about the accuracy. From studies that have been done before, there are differences between the results of...
Predicting price has now become an important task in the operation of electrical power system. Day-ahead prediction provides forecast prices for a day ahead that is useful for daily operation and decision-making. The main challenge for day ahead price forecasting is the accuracy and efficiency. Lower accuracy is produced due to the nature of electricity price that is highly volatile compared to load...
This paper presents the performance verification of accuracy between simulation and real-time harmonic source identification system. The simulation and real-time system are implementing spectrogram as analysis technique that offers high accuracy and represent signals in time-frequency representation (TFR). From the TFR, signal parameters such as instantaneous of root mean square (RMS), fundamental...
Bluetooth Low Energy (BLE) or Bluetooth Smart is a wireless device that can be connected to many wireless devices with many applications. In this paper, we analyzed the accuracy of BLE for measuring distance in order to build the indoor positioning application. The problem of BLE in distance measurement and indoor position are low accuracy that is caused by the fading effect. We discussed about the...
Sentiment Analysis is the process of figuring out the emotions from a piece of writing that whether it is positive, negative or neutral and is used to tell the speaker's attitude. The trend, today, is to consider the opinions of a variety of individuals around the globe before purchasing an item using micro-blogging data. Customers tend to go over a lot of reviews about a particular item before buying...
Image segmentation is an important task in medical image processing to assist physicians or radiologists in making faster and effective diagnosis and treatment. However, there is still lack of effective segmentation methods to extract human spine in Magnetic resonance imaging (MRI) images. In this study, we propose a segmentation method using 12-anatomical point representation (12-APR) method for...
Most of the intrusion detection systems analyze all network traffic features to identify intrusions with different classification techniques. Any intrusion detection model developed has to provide maximum accuracy with minimal false alarms. Identifying the optimal feature subset for classification is an important task for improved classification. In this paper, consistency based feature selection...
EEG signals are neuroelectric signals which helps in analyzing the brain state of the Human being. Extracting Features of EEG signal in real time is the most challenging task because of its high variability and complexity. In this paper we have used FPGA (Virtex-5) for extracting the features in real time for Brain Computer Interface applications. Nowadays, Brain Computer Interface (BCI) plays a major...
In this paper we introduce a novel, dense, system-on-chip many-core Lenovo NeXtScale System® server based on the Cavium THUNDERX® ARMv8 processor that was designed for performance, energy efficiency and programmability. THUNDERX processor was designed to scale up to 96 cores in a cache coherent, shared memory architecture. Furthermore, this hardware system has a power interface board (PIB) that measures...
To study the deposition of particles on chip surface during the work of the thermal gas flow sensor, the paper analyzes deposition mechanism in depth by experiments to provide theoretical basis for reducing or avoiding particle deposition. The affecting factors of particle deposition such as electric field, the direction of sensor chip placement have been studied by monitoring the accuracy of flow...
This article offers a general approach to developing methods of determining operation tolerances for the parameters' values of memristor-based artificial neural networks (ANNM), as a system that constitutes an united physical and informational object implemented by the hardware and software learning facilities. While looking for a solution to the issues of analysis and synthesis of this system's tolerances,...
The STC translation methods are used in many applications, such as prediction of energy yield, characterization of PV modules, and translation of current-voltage (I-V) curve from any conditions of temperature and irradiance, to any other conditions of temperature and irradiance. A comparative study has been done in this work to compare and contrast Anderson and Blaesser translation methods. The Isofoton...
Approximate computing is gaining a lot of traction due to its potential for improving performance and consequently, energy efficiency. This project explores the potential for approximating locks. We start out with the observation that many applications can tolerate occasional skipping of computations done inside a critical section protected by a lock. This means that for certain critical sections,...
Alternative positioning navigation by DME service network is used in many cases on-board of aircraft. This problem is topical in case of bad accuracy of GNNS, spatially during takeoff or landing phases of aircraft flight. In the paper, an accurate approach of positioning by data from DME with support of all available DMEs signals in particular point of airspace has been discussed. An availability...
With the widespread adoption of virtualization, intrusion detection systems (IDSes) are increasingly being deployed in virtualized environments. When securing an environment, IT security officers are often faced with the question of how accurate deployed IDSes are at detecting attacks. To this end, metrics for assessing the attack detection accuracy of IDSes have been developed. However, these metrics...
In the past few years the mobile network's telecommunication field has known a huge progress in term of developing new standards to enhance the quality of service (LTE, LTE-A, 5G Ω). Positioning techniques in LTE (Long Term Evolution) network are gaining more interest since the majority of mobile communication operators are deploying their 4G Solution all over the world. In this paper, we investigate...
The concept of indoor location positioning has been around for decades now. Despite the existence of many algorithms that can achieve location positioning with remarkable performance in terms of accuracy, implementation of such algorithms has not been done on a large scale. There is a trade-off between the positioning accuracy and the complexity of the algorithm. This paper introduces and explains...
This paper deals with a discretization of multivariable fully actuated linear systems controlled with an Internal Model Control (IMC). The proposed IMC is based on a specific inversion method and it presents an extension to the case of Multi-Input-Multi-Output (MIMO) discrete-time systems. The case of fully actuated linear system is considered and it approved the effectiveness of the proposed approach...
Locating a radiant source based on time difference of arrival (TDOA) measurements using spatially separated receivers has wide applications. Although extensive research works have been performed on development of TDOA localization solution, limited attention has been paid to sensor array geometry design. However, the sensor array geometry has a significant influence on the localization accuracy. Therefore,...
As the demand and deployment of renewables get better, there comes a growing interest in improved techniques of forecasting the energy generation from those sources. This paper aims at testing and suggesting techniques for input parameter selection and accuracy enhancement in forecasting power output of a PV system. The PV system under study is an operational system in Goldwind smart microgrid in...
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