Volume 11 (2018): Issue 2 (December 2018)

Nowadays we are living in the ages of expansion of communication. The young generation depends on the online communications with other. Each of the devices is purposed to communication. Cloud data storage systems are available only with stable connection. Requirements are growing up to date. The answer on these requirements: the high speed of transmission, high level of security and wide bandwidth are optical communication systems. This system offers comparable features as optical system with physical optical fibers. But it has one big drawback. It is sensitivity to weather changes. We have to make backup link for case of outages. One part of design FSO/RF system in our case contains selection of appropriate type of RF antenna. We are looking for appropriate candidate. This paper is focused on analysis of helix antenna operating in non-licensed frequency range on 9.2GHz. The point of this paper is the examination of the impact of the height of helix designed antenna.

Recently have been reported methods to deliver a digital filter from an analog active filter, described only by its circuits diagram. The proposed approaches have been implemented in MATLAB and Python, and they were based on state-space conversion from analog to digital domain. Based on the Python approach, we show in this paper how to compute the transfer function of a large order analog active filter. The analog filter is described only by its circuits diagram. Finally, the analog filter is converted to the corresponding digital filter, having similar frequency gain and phase characteristics.

In this work, we present a comparative study between four-level neural space vector modulation (4L-NSVM) and three-level neural space vector modulation (3L-NSVM) technique in indirect vector control (IVC) of reactive and active power control of a doubly fed induction generator (DFIG) for wind energy conversion systems (WECSs). Two controls techniques using IVC-4L-NSVM and IVC-3L-NSVM are proposed and compared. The validity of the proposed control schemes is verified by simulation tests of a DFIG-based wind turbine system (WTSs). The stator active power, stator reactive power and rotor current is determined and compared in the above strategies. The obtained results showed that the proposed IVC with 4L-NSVM technique have reactive and stator active power with low powers ripples and low rotor current harmonic distortion than 3L-NSVM technique.

This paper discusses mobile notifications in the context of health monitoring system that measure and store vital signs of the patient that are included in this program. The values measured are temperature and cardiac rhythm. This has two Android application, one is used by the patient to monitor his vital signs and the other is used by the physician to be able to see and receive push notifications of each individual patient. The sensors are connected to a Raspberry Pi and these devices send information to the Android smartphone via Bluetooth. The physician can monitor patient data in real time. All the information that is gathered by the smartphone from the sensors are sent to the cloud, can project a history and can detect some anomalies, for example, if the cardiac pulse is not within the limits of an accepted interval.

With a rapid growth in semiconductor Industry, complex applications are being implemented using small size chips, with the use of Complementary Metal Oxide Semi-Conductors (CMOS). With the introduction of new Integrated Circuit (IC) technology, the speed of the circuits has been increased by around 30%. But it was observed that for every two years, the power dissipation of a circuit doubles. The main reason for this power dissipation is leakage currents in the circuit. To reduce these leakage currents, we can reduce the width of the device. In addition to this, we can use lector techniques that use Leakage Control Transistors (LCT) and High Threshold Leakage Control Transistors (HTLCT).In this paper; we present a circuit technique that uses 130 nano-meter CMOS VLSI circuits that use two extra transistors to mitigate the leakage currents. The proposed technique overcomes the limitations posed by the existing methods for leakage reductions an average leakage reductions is 82.5%.The estimation of power and delay will be discussed using LCT’s and HTLCT’s.

BCI (Brain-Computer Interface) is a technology which goal is to create and manage a connection between the human brain and a computer with the help of EEG signals. In the last decade consumer-grade BCI devices became available thus giving opportunity to develop BCI applications outside of clinical settings. In this paper we use a device called NeuroSky MindWave Mobile. We investigate what type of information can be deducted from the data acquired from this device, and we evaluate whether it can help us in BCI applications. Our methods of processing the data involves feature extraction methods, and neural networks. Specifically, we make experiments with finding patterns in the data by binary and multiclass classification. With these methods we could detect sharp changes in the signal such as blinking patterns, but we could not extract more complex information successfully.

The purpose of the work described in this paper is to compare more configurations belonging to portables real-time operating systems for embedded devices based on Raspberry Pi board. The developed application in this work can monitor the status in a greenhouse: irrigation, heating, ventilation, humidification, closing/opening panels etc. following weather conditions. Our target is to choose an efficient, minimal operating system optimized for the desired application. Other targets are high flexibility, optimal modularity, high readability and maintainability of the source code.

In this work, an adaptive nonlinear control method, was applied to a synchronous generator and we give some initial results on the adaptive control of nonlinear systems which are exactly input-output linearizable by state feedback. Parameters adaptation is used as a technique to robustify the exact cancelation of nonlinear terms, which is called for the linearization technique. The performance of the proposed adaptive nonlinear control scheme is demonstrated by simulation results. These results show that the proposed method achieves the same high dynamic performance as vector control.

The need for high capacity and bandwidth in broadband communication systems increased rapidly in a few past years. Optical fiber is now the major transmission medium for fast and reliable communication replacing the old copper-based connections. However, with the deployment of optical networks, number of problems arise. The main problem of optical networks is the amplification in the long-distance transmission. Erbium doped fiber amplifier (EDFA) is the leading technology in the field of optical amplifiers. It uses erbium doped fiber to amplify optical signal. The importance of amplification in optical domain is relevant in long-haul and high-speed transmission systems. In this paper the study of the EDFA is presented. Based on an analytical study, the simulation model of the EDFA is created. The main aim is to determine the optimal parameters of the EDFA for a long-haul 16-channel DWDM (Dense Wavelength Division Multiplexing) system. The performance of the proposed DWDM system is mathematically analyzed using BER (Bit Error Rate) and Q factor.

Jordan which is located in the heart of the world contains hundreds of historical and archaeological locations that have a supreme potential in enticing visitors. The impact of clime is important on many aspects of life such as the development of tourism and human health, tourists always wanted to choose the most convenient time and place that have appropriate weather circumstances. The goal of this study is to specify the preferable months (time) for tourism in Jordan regions. Neural network has been utilized to analyze several parameters of meteorologist (raining, temperature, speed of wind, moisture, sun radiation) by analyzing and specify tourism climatic index (TCI) and equiponderate it with THI index. The outcomes of this study shows that the finest time of the year to entice tourists is “ April” which is categorized as to be “extraordinary” for visitors. TCI outcomes indicates that conditions are not convenient for tourism from July to August because of high temperature.

The aim of this work is to develop a device capable to record multiple audio signals (in our case 4 audio signals from 4 microphones of the area) and transmit the information through a network for acoustic source localization. We briefly discuss the first two versions, then the HRTF (Head Related Transfer Function) version of the acoustic sensors is detailed. Experimental results for identifying sound sources are also presented.