NCCICS 2017- Fourth National Conference on Communication, Information and Control System

"NCCICS 2017 Conference Papers "

A Novel Approach for Energy-Aware Base Stations Operation in Green Cellular Networks[ ]


The massive improvement in the wireless market and cumulative traffic demand urged the network providers to choose new techniques like dense deployment of base station (BSs) to provide extensive data rate services with minimal operating expenditures at low energy requirements. These challenges encouraged towards the design of energy conservative BS snoozing and corresponding user association throughout the low traffic period with load balancing for guaranteed service quality for green cellular network operation. For the duration of little traffic, the related BSs can enter into sleep mode after handovering its users to its nearby BSs, saving energy thereby. Message passing with Load balancing algorithm (MPLA) is proposed, which exchange messages around BSs on a distributive way and also it permits those BSs to finish up with extreme choice ahead if it ought to stay active or idle to reduce energy wastage. The burden is increased by the handover process in its neighboring BSs which can substantially decrease the data rate, hence the load balancing is performed. Simulation results using MATLAB reveals that MPLA significantly reduce the energy wastage and enhances the ongoing service quality to users.

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AUTOMATIC ACCIDENT DETECTION WITH INTELLIGENT TRAFFIC LIGHT SYSTEM[ ]


Nowadays, as the population is increased day by day the number of vehicle are also increased and this has raised incidents road accident .The loss of human life, so used the ITLS(international traffic light system) smooth flow for the emergency vehicles like ambulance to reach the hospital in the time. This scheme is fully automated , thus it find the accident spot , control the traffic lights, helping to reach the hospital in time.

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Classification of Milled Rice Using Image Processing[ ]


Classification of different types of rice is carried out in this study using metaheuristic classification approaches.13 different rice samples are considered. Images of milled rice are acquired using a computer vision system. Feature Extraction methods are used to extract fifty seven features including five shape and size features, forty eight color features and four texture features from color images of individual rice samples. Four different metaheuristic classification techniques including Artificial Neural Network, Support Vector Machine, Decision Tree and Bayesian Network are utilized to classify milled rice samples. Results indicated that Artificial Neural Network had the highest classification accuracy (92.307 %) followed by Support Vector Machine (90.384 %), Bayesian Network (82.692 %) and Decision Tree (59.615 %), had the higher accuracy, respectively.

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COPPER NANO-FERRITE BASED GIGAHERTZ ANTENNA ON EM SUBSTRATE[ ]


The realization of nano-sized, highly-featured, Copper Ferrite (CuFe2O4) for the preparation of Circular patch antenna substrates is being reported in this present investigation.The Designed antenna is suitable for working at the range of 1 to 15 GHz. The suggested technique is applied to improve the Bandwidth performance in the UWB region. The antenna is designed and simulated using MOM method based Electromagnetic solver - FEKO software. The radiation performance parameters of antenna like its radiation pattern, directivity, return loss and gain are analyzed in the band of operation.

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Design and Analysis of a Compact Microstrip Patch Antenna with BPF for Wi-Fi Applications[ ]


Emerging new communication systems have increased the demand for multi- band antennas. Microstrip patch antenna is preferred over other antennas in today’s modern world scenario for their compatibility to be fit in Mobile, Aircraft, Satellites owing to very small sizes. In the majority of microwave receiving and transmitting systems, a requirement is to have a filter immediately adjacent to the antenna or antenna array. Conventionally the filter and antenna are designed as separate components and a matching circuit is used in order to get maximum power transfer between them. In this work, single antenna with a bandpass filter which are simulated to cover Wi-Fi (4.2 GHz) is designed. Also proximity coupling is used because of its larger bandwidth and low spurious radiation. The proposed microstrip patch antenna with a bandpass filter is used to allow the required frequency with reduced noise. The proposed configuration is simulated and analyzed using CST (Computer Simulation Technology) software package. Results have been shown for the parameters of return loss, VSWR, bandwidth and radiation pattern and comparison were analyzed.

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High Performance And High Speed Multiplier Using Modified Booth Algorithm With Reversible Logic Synthesis And Hybrid Carry Look Ahead Adder[ ]


This paper describes the Design of Multiplier and Accumulator Unit by means of Reversible Logic synthesis and Hybrid Carry Look ahead adder. The Important measure to increase the speed of multiplier is to reduce the partial products because multiplication precedes a series of addition .For that Modified Booth Algorithm is used in CSA, it treats Positive and Negative numbers equally. Hybrid CLA is used to control overall MAC Delay. Reversible logic gates have ability to to reduce the power dissipation which is the main requirement in low power VLSI design. The advantage of using Reversible Logic Synthesis is to have reduced Complexity, area and Delay. The proposed Hybrid CLA exhibits High Performance regards power consumption, delay. Multipliers based on Wallace reduction tree provide an area-efficient strategy for high speed multiplication. The Proposed MAC unit provides efficient reduced Critical path delay, area overhead. This new high speed hybrid carry look-ahead adders are simulated by Xilinx ISE Simulator.

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Implementation of FTR-AHP Routing Scheme for Enhancing the Mobile Ad-hoc Networks[ ]


Mobile Ad-hoc Networking (MANET) is an enhanced technology in the field of wireless communication and it plays a key role over the past years due to the popularity of mobile devices and wireless network. MANET is a concept of infra-structure less wireless multi-hop communication network, which means that the networks formed and deformed on-the-fly without the need of any centralized management. Any individual node in the network can ahead the packet that is a node acts as a router to send and re-ceive the data. Since the network has a group of autonomous wireless nodes, which can exchange data in a dynamic manner, the network structure is dynamic. Therefore the network topology changes rapidly and it takes the decision in a distributed manner. Due to the dynamic behaviour of the network, routing for MANET is a difficult task and wireless link become highly error prone. Moreover Limited bandwidth, Dynamic topology, Hidden terminal problem, Transmission error, Route changes due to mobility and Battery constrains is some of the important challenges in MANET. A variety of Routing protocols are preserved on introducing for optimized routing and overcome the problems associated in the MANET in Proactive Routing Protocols, Reactive Routing Protocols and Hybrid Protocol. But those approaches are not yet achieved a significant level. As a positive approach, this work proposes an another hybrid protocol based model called Fuzzy Topsis Rough Set Analytical Hierarchical Process (FTR-AHP). This model is developed to identify the reliable, optimal paths with the metric features like Multi-Hop, Battery power, Signal strength, Mobility and Trustworthy. The simulation results have shown that the proposed technique is better than that of the existing approaches.

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Implementation of Space Time Block Codes for Mini-mizing the Error Rate in Cognitive Radio Networks[ ]


Cognitive Radio (CR) have become a promising innovation to raise the spectrum utilization through spectrum sharing between licensed users (primary users) and additionally unlicensed users (secondary users). An significant rule mandated for the improvement of such sys-tems are to develop solutions that do not require any progressions to the current primary user (PU) infrastructure. An Orthogonal Frequency Division Multiplexing (OFDM) is usually worn technologies in current wireless communication systems which has the opportunity of satisfying the interest for cognitive radios essentially or with lightly changes. Space time block codes is utilized as a part of this paper. The numerous antennas used at both ends for reliable data transmission and interference nulling. These codes can achieve full transmit diversification indicated by the amount of transmit antennas. The MIMO is utilized for improving the capacity of a wireless link, to resolve the problem for lower BER and attain a better performance.

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Lossless Colour Image Compression Using RCT Technique and Hierarchical Prediction[ ]


Image compression is the process of reducing the amount of data required to represent an image. Digital images are usually compressed by lossy compression method or lossless compression method. In existing system digital images are encoded by lossy compression due to its large memory and bandwidth requirements. This project presents a new lossless colour image compression algorithm, based on the RCT technique and hierarchical prediction. For the lossless compression of an RGB image, it is first de-correlated by a reversible colour transform and then Y component is encoded by a conventional lossless gray scale image compression method. For encoding the chrominance images, a hierarchical scheme is developed. It enables the use of upper, left, and lower pixels for the pixel prediction, whereas the conventional raster scan prediction methods use upper and left pixels. The proposed method also increases the Signal to Noise ratio and compression ratio compared with JPEG 2000. The tools used for this project is MATLAB.

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Optimized Design of FIR Filter using Vedic Multiplier for Reconfigurable Applications[ ]


The likelihood of realization of the block FIR filter in transpose form configuration for area-delay efficient realization of large order FIR filters is performed for both fixed and reconfigurable applications. FIR filter is the fundamental building block of Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), signal processing and Image processing applications. The transposed form block FIR filter contains adder, inner product unit (multiplier), and Coefficient Storage Unit (CSU) and register units. The CSU stores coefficients of the considerable number of channels to be utilized for the reconfigurable application. The reconfigurable FIR filter is designed with an array multiplier. So it provides high die size (area) and high power utilization. To overcome this problem, the reduced Vedic multiplier is composed by urdhva tiryagbhyam technique. Vertical and horizontal multiplication is carried out to reduce the partial product generation stages. Finally, this reduced Vedic multiplier unit is applied into the transposed form block FIR filter to achieve the low area, delay and low power. This structure involves significantly less Area Delay Product (ADP) and less Energy Per Sample (EPS) than the transposed form block FIR filter using an array multiplier.

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Removal Of Fog And Haze In The Digital Images Using Dark Channel Prior Method[ ]


Fog and haze degrade the quality of preview and captured image by reducing the contrast and saturation. The objective of the present work is to increase the visibility of an image by remove the fog and haze in the digital image and to enhance the certain features like saturation& contrast of an image. To manipulate the foggy image by enhancing the features like contrast & saturation. Unfortunately, classical approaches have difficulties in adverse weather condition. we propose a simple but powerful prior, dark channel prior, for fog and haze removal from a single input hazy image. By creating linear model on a foggy image, depth information can be recovered. Through the segmentation of the hazy image, we can easily remove the haze from a single image.

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WAVELET TRANSFORM USING SPIHT ALGORITHM FOR VIDEO COMPRESSION[ ]


As a key component of modern multimedia technology, digital video has many applications such as video phone, video conference, video on demand (VOD), disk based video (VCD/DVD/HDDVD), digital video by satellite (DVS), and high definition television (HDTV). With the vast amount of digital images and videos, which is still increasing rapidly, the transmission bandwidth and storage spaces become the bottleneck. Wavelet transform has been widely used in image/video compression and processing. The wavelet transform’s base functions have flexible time and frequency domain resolution. In the video sequence, temporal prediction does not perform well with respect to compression efficiency. In other cases, temporal prediction may work better than spatial prediction. An adaptive selection design between spatial and temporal prediction improves the compression performance. Our proposed work is based on wavelet transform algorithm like Set Partitioning in Hierarchical Trees (SPIHT). Results of Average value of peak signal to noise ratio PSNR, mean squared error (MSE) and comparison chart is obtained using MATLAB. The proposed 2-D SPIHT algorithm achieves very good PSNR values and MSE which makes the techniques more efficient.

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