Earticle

This paper presents a method to control height and speed of fixed wing unmanned aerial vehicles (UAVs) using MATLAB platform. The mathematical dynamic model of Six Degrees of Freedom (6-DOF) aircraft is nonlinear and it is linearized about a flight condition. System is divided into two Multi Input Multi Output (MIMO) sub models. First model controls the longitudinal dynamics and second model is used to control the lateral dynamics. Each MIMO model is converted into ten Single Input Single Output (SISO) systems and then the systems needed for the primary requirement of plant control is selected. Same technique can be also be used to make Manned Aerial Vehicles (MAV) autopilots and to control flight of other aerial vehicles. Multiple loop feedback control technique is used to control a plant which helps to control many outputs of system with one set point value and controller.

This experimental study presents the effects of human hair additives in compressive strength of asphalt cement mixture as potential binder in road pavement. Human hair is strong in tension and can be used as a fibre reinforcement material. Hair Fibre (HF) is an alternate non-degradable matter is available in abundance and at a very cheap cost. It also creates environmental problem for its decompositions. This elastic property of the HF reinforced in asphalt pavement may produce better stand on traffic loading by the same fundamental mechanism of transferring the high intensity forces imparted at the surface by the wheel loads to lower levels that the subgrade can accommodate without deforming. The experiments made were asphalt mixture with human hair as the experimental group and standard asphalt mixture being the control groups. Human hair added to standard asphalt mixture with three different proportions varying from 3% to 12% by mass of with respect to bitumen. This study proves that adding cement and human hair to asphalt mixture greatly increase the strength of the mixture thus making it a good material for the construction of road pavement. Adding of both cement and human hair to asphalt mixture improves the load bearing capacity of the mixture.

Green microalgae species was collected from Bhavani Lake of Erode in Erode District, Tamilnadu State, India. The Morphological studies were examined by utilizing Fourier Transform Infrared Spectroscopy, Microscope studies, Scanning Electron Microscopic studies and isolated and identified by PCR studies and by these studies that the collected specimen is to be Chlorella sp. In this study to check growth behavior and tolerance of fresh water green algae chlorella sp, under different pH,Temperature ,different concentrations of sodium bicarbonate salt, carbon dioxide gas and under different levels of sodium chloride salt.. From the study it is clear that optimum levels of proper carbon source and salinity is very much essential for growing Chorella sp., as they influences its growth rate, biomass and lipid productivity. The experiment aims to analyze the biomass productivity and total lipid content of the microalgae strain under various growth conditions. All the cultures were grown for a period of 10 days. For the growth study reveals that, pH range 4-7, Temperature 26-40, sodium bicarbonate salt concentrations 50-60 mg/l, sodium chloride concentration 0.02, maximum growth rate was observed, when CO2 gas was supplied at 40% concentration, maximum growth and maximum lipid yield of 15 in %dry cell weight were recorded. A highest total lipid content of 20 % was obtained.

The method of the finite state machine (FSM) for public key cryptosystem is allows to reduce key’s length of the cryptosystem without reducing сryptographic strength. A reconfigurable finite state machine is entered into public key cryptosystem’s model. A reduced key is used for adjustment of the reconfigured finite state machine. Each adjustment of the reconfigurable model generates some finite state machines which sets process of the encryption/decryption. Software implementation includes the finite state machines generator and a translator for transfer the table description of the finite automaton to the hardware description language VHDL. This project was implemented on XStend board containing FPGA XC4010XL of Xilinx.

This paper presents the effect of pico pulse electric field on intra organelle nano poration of multi layer osteoblast cell placed in a 3D non uniform microfloudic chip composed of bi metallic heterogeneous micro electrode under the influences of smart control FPGA based pico pulse generator and images of intra organelle nanoporation are recognized by neural fuzzy network. It is observed that When the micro pulse is applied the cell starts to response but it is unable to penetrate the intra cellular nucleus- membrane where as the expected results will come when the Pico pulse is applied on the cell, a number of nana pores are generated on the intra organelle and chemicals are entered into the cell. It is also exposed that the key parameter of nanoporation such as intra organelle voltage, pore radius, pore density, pressure, surface tension and ion uptake are externally controlled by user defined hybrid 3D micro chip and FPGA based pico pulse generator. The application of neural fuzzy network for succesfull reorganization of nanoporative image is completely explore.

Next generation wireless communication system uses one of the most competent multi-carrier transmission techniques known as Orthogonal Frequency Division Multiplexing (OFDM). OFDM has several characteristics such as providing greater immunity to multipath fading & impulse noise, eliminating Inter Symbol Interference (ISI) & Inter Carrier Interference (ICI) using a guard interval known as Cyclic Prefix (CP). But, OFDM suffers a serious drawback of high peak to average power ratio (PAPR) which is defined as the ratio of the peak power to the average power of OFDM Signal. A lot of researches are carrying on reducing this high PAPR. In this paper, we investigated the performances of different higher order modulations on our previously designed amplitude clipping & filtering method to reduce PAPR.

Minimum vertex cover is very important among the NP-optimization problems and got the attention of the researchers in the past decade. Approximation techniques are used to solve the NP problems to get either optimal or near optimal solutions in polynomial time. In this paper, a modified vertex support algorithm is proposed that make use of same data structure as that of VSA but with different vertex selection criteria. Proposed algorithm is called advance vertex support algorithm (AVSA), it takes into account all the neighbors of a vertex twice while selection as surrounding vertices are very important for the decision. AVSA is analyzed experimentally against all benchmarks and compared with some better algorithms already present. The experimental results show that the worst approximation ratio was 1.032 with a ratio of average approximation 1.006. A comparative analysis with other algorithms indicates that AVSA can provide the best solution among them the minimum time requirements. Simplicity in design can give advantages to implement in various fields of application with minimum overhead.