bluuebunny/crossref_metadata_2025 huggingface dataset:
Frequency tuning varactor-loaded reconfigurable antenna for m-WiMAX and WLAN applications
Authors: Shah S. M. , Hamdan K. , Abidin Z. Z. , Seman F. C. , Hamzah S. A. , Katiran N. , Zubir F.
Published: January 2019

A design approach for a microstrip patch antenna to achieve the reconfigurable dual-band operation with a tunable device is presented in this work. The approach uses a BB833 varactor diode in the middle of a slotted patch antenna which which is able to produce dual-band resonant frequencies. The reconfigurable antenna is designed and simulated in CST Microwave Studio® software and is later, fabricated on a FR-4 substrate with a dielectric constant,  of 4.5, loss tangent, tan δ of 0.019 and thickness, h of 1.6 mm. By changing the DC voltages of the varactor diode, different capacitance values of the varactor diode are obtained which dictate the specific resonant frequencies. From the simulation results, the capacitance value of 0.5 pF with a bias voltage of 2.0 V is chosen as it produces the required dual-band resonant frequencies at 3.38 GHz and 5.37 GHz for desired applications in the m-WiMAX and WLAN bands.
MRI Denoising using Sparse Based Curvelet Transform with Variance Stabilizing Transformation Framework
Authors: Routray Sidheswar , Ray Arun Kumar , Mishra Chandrabhanu
Published: January 2019

We develop an efficient MRI denoising algorithm based on sparse representation and curvelet transform with variance stabilizing transformation framework. By using sparse representation, a MR image is decomposed into a sparsest coefficients matrix with more no of zeros. Curvelet transform is directional in nature and it preserves the important edge and texture details of MR images. In order to get sparsity and texture preservation, we post process the denoising result of sparse based method through curvelet transform. To use our proposed sparse based curvelet transform denoising method to remove rician noise in MR images, we use forward and inverse variance-stabilizing transformations. Experimental results reveal the efficacy of our approach to rician noise removal while well preserving the image details. Our proposed method shows improved performance over the existing denoising methods in terms of PSNR and SSIM for T1, T2 weighted MR images.
Artificial Neural Network Based Fast Edge Detection Algorithm for MRI Medical Images
Authors: Gunawan Teddy Surya , Yaacob Iza Zayana , Kartiwi Mira , Ismail Nanang , Za'bah Nor Farahidah , Mansor Hasmah
Published: January 2019

Currently, magnetic resonance imaging (MRI) has been utilized extensively to obtain high contrast medical image due to its safety which can be applied repetitively. Edges are represented as important contour features in the medical image since they are the boundaries where distinct intensity changes or discontinuities occur. Many traditional algorithms have been proposed to detect the edge, such as Canny, Sobel, Prewitt, Roberts, Zerocross, and Laplacian of Gaussian (LoG). Moreover, many researches have shown the potential of using Artificial Neural Network (ANN) for edge detection. Although many algorithms have been conducted on edge detection for medical images, however higher computational cost and subjective image quality could be further improved. Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. First, we developed features based on horizontal, vertical, and diagonal difference. Then, Canny edge detector will be used as the training output. Finally, optimized parameters will be obtained, including number of hidden layers and output threshold. Results showed that the proposed algorithm provided better image quality while it has faster processing time around three times time compared to other traditional algorithms, such as Sobel and Canny edge detector.
A Hybrid Feature Selection Based on Mutual Information and Genetic Algorithm
Authors: Lan Yuan-Dong
Published: January 2019

Feature selection aims to choose an optimal subset of features that are necessary and sufficient to improve the generalization performance and the running efficiency of the learning algorithm. To get the optimal subset in the feature selection process, a hybrid feature selection based on mutual information and genetic algorithm is proposed in this paper. In order to make full use of the advantages of filter and wrapper model, the algorithm is divided into two phases: the filter phase and the wrapper phase. In the filter phase, this algorithm first uses the mutual information to sort the feature, and provides the heuristic information for the subsequent genetic algorithm, to accelerate the search process of the genetic algorithm. In the wrapper phase, using the genetic algorithm as the search strategy, considering the performance of the classifier and dimension of subset as an evaluation criterion, search the best subset of features. Experimental results on benchmark datasets show that the proposed algorithm has higher classification accuracy and smaller feature dimension, and its running time is less than the time of using genetic algorithm.
Copyright Protection by Robust Digital Image Watermarking in Unsecured Communication Channels
Authors: Alasafi Layth , Göksu Tuna , Albayati Ammar
Published: January 2019

The transition from analog technologies to digital technologies has increased the ever-growing concern for protection and authentication of digital content and data. Owners of digital content of any type are seeking and exploring new technologies for the protection of copyrighted multimedia content. Multimedia protection has become an issue in recent years, and to deal with this issue, researchers are continuously searching for and exploring new effective and efficient technologies. This thesis study has been prepared in order to increase the invisibility and durability of invisible watermarking by using the multilayer Discrete Wavelet Transform (DWT) in the frequency plane and embedding two marks into an image for the purpose of authentication and copyright when digital content travels through an unsecured channel. A novel watermarking algorithm has been proposed based on five active positions and on using two marks. In addition to the extraction process, watermarking images will be subjected to a set of attack tests. The evaluation criteria have been the bases of assessing the value of SNR, PNSR, MAE and RMSE for both the watermarking images and the watermarking images after attacks, followed by the invisibility of the watermarking being measured before and after the attacks. Our lab results show high robustness and high quality images obtaining value for both SNR and PNSR.
Status Review on Gas Insulated Switchgear Partial Discharge Diagnostic Technique for Preventive Maintenance
Authors: Ibrahim Visa Musa , Abdul-Malek Zulkurnain , Muhamad Nor Asiah
Published: January 2019

Gas insulated switchgear (GIS) plays a vital role in high voltage transmission of electrical energy due to its advantages of high reliability and performance, compact in dimensions and outstanding compatibility with the environment. It uses sulphur hexafluoride gas as its insulant and coolant because of its high dielectric strength and excellent arc quenching ability. Gas insulated switchgear in operation suffers the challenge of its insulation decomposition and eventually failure due to the activities of partial discharge that arouses from defects. This failure is catastrophic and it will lead to entire power out stage that will affect all categories of human activities, so there is a need for Gas insulated switchgear condition monitoring and diagnoses in order to carry out preventive maintenance. This paper reviews diagnostic techniques and methods for Gas insulated switchgear insulation degradation caused by partial discharge for the purpose of carrying out preventive maintenance to avert its failure.
Real-Time Video Scaling Based on Convolution Neural Network Architecture
Authors: Safinaz S , Ravi kumar AV
Published: January 2019

In recent years, video super resolution techniques becomes mandatory requirements to get high resolution videos. Many super resolution techniques researched but still video super resolution or scaling is a vital challenge. In this paper, we have presented a real-time video scaling based on convolution neural network architecture to eliminate the blurriness in the images and video frames and to provide better reconstruction quality while scaling of large datasets from lower resolution frames to high resolution frames. We compare our outcomes with multiple exiting algorithms. Our extensive results of proposed technique RemCNN (Reconstruction error minimization Convolution Neural Network) shows that our model outperforms the existing technologies such as bicubic, bilinear, MCResNet and provide better reconstructed motioning images and video frames. The experimental results shows that our average PSNR result is 47.80474 considering upscale-2, 41.70209 for upscale-3 and 36.24503 for upscale-4 for Myanmar dataset which is very high in contrast to other existing techniques. This results proves our proposed model real-time video scaling based on convolution neural network architecture’s high efficiency and better performance.
Energy Efficient WSN by Optimizing the Packet Failure in Network
Authors: Patil Madhu , Sharma Chirag
Published: January 2019

Wireless sensor network (WSN) has attained enormous growth in recent times due to availability of tiny and low cost sensor devices. The sensor network is been adopted by various organization for various application services such environment monitoring, surveillance etc.. The WSN are powered by batteries and are deployed in non-rechargeable remote location. Preserving batteries of these devices is most desired. Many methodologies have been proposed in recent time to improve the lifespan of sensor network among them clustering technique is the most sorted out technique. The drawback of existing technique the cluster head energy degrades very fast due to long transmission which requires amplification as a result energy is lost to the node that is surrounding the cluster head. They did not consider the packet failure likelihood among inter and intra as a results there exist scheduling bottleneck and degrades the energy of sensor devices. To overcome this work present a packet failure estimation model and hop selection optimization model for inter cluster transmission. Experiments are conducted for lifetime efficiency for varied sensor devices for proposed and existing. The result shows that the proposed model performs better than existing in term of network lifetime and energy efficiency.
Design of Volatility Model in Nifty 50 Index using Thin Plate Spline Regression
Authors: B Poornima , C Vijayalakshmi , S Somasundaram
Published: January 2019

The analysis of volatility in stock markets has important consequences for investors and traders. The presence of volatility increases market risks and therefore discourages investment in the stock market. The proper study and understanding of volatility is needed for prudent risk management. In this paper, the market volatility in the National Stock Exchange in India as measured by the India Volatility Index is analyzed. The daily volatility in NIFTY 50 index is regressed on the price to earnings ratio and the volatility of previous day. The market volatility within a period of time is highly correlated and the highly volatile periods coincide with large impact negative events on a national and global scale. The Price to Earnings ratio represent the fundamentals of the market and it also strongly influences the price movements. The nonlinear regression problem is formulated and solved using thin plate spline regression technique. This effectively captures the nonlinear aspect of the problem. Results indicate that volatility has high upward correlation during middle range of P/E ratios than in the upper and lower ranges. Therefore risk management techniques using option derivatives are more important during the middle range of values of P/E ratio.
System Diagnosis of Coronary Heart Disease using A Combination of Dimensional Reduction and Data Mining Techniques: A Review
Authors: Wiharto Wiharto , Kusnanto Hari , Herianto Herianto
Published: January 2019

Coronary heart disease is a disease with the highest mortality rates in the world. This makes the development of the diagnostic system as a very interesting topic in the field of biomedical informatics, aiming to detect whether a heart is normal or not. In the literature there are diagnostic system models by combining dimension reduction and data mining techniques. Unfortunately, there are no review papers that discuss and analyze the themes to date. This study reviews articles within the period 2009-2016, with a focus on dimension reduction methods and data mining techniques, validated using a dataset of UCI repository. Methods of dimension reduction use feature selection and feature extraction techniques, while data mining techniques include classification, prediction, clustering, and association rules.
Image Segmentation Research Based on GA and Improved Otsu Algorithm
Authors: Qin Xiaoqun
Published: January 2019

In the face of the problem of high complexity of two-dimensional Otsu adaptive threshold algorithm, a new fast and effective Otsu image segmentation algorithm is proposed based on genetic algorithm. This algorithm replaces the segmentation threshold of the traditional two - dimensional Otsu method by finding the threshold of two one-dimensional Otsu method, it reduces the computational complexity of the partition from O (L4) to O (L). In order to ensure the integrity of the segmented object, the algorithm introduces the concept of small dispersion in class, and the automatic optimization of parameters are achieved by genetic algorithm. Theoretical analysis and experimental results show that the algorithm is not only better than the original two-dimensional Otsu algorithm, but also it has better segmentation effect.
Online Monitoring of Grid Connected Residential Photovoltaic System using Zigbee and Web Server
Authors: Ghazali Syafii , Putra Roni , Putra Hasdi
Published: January 2019

The paper presents grid-tied PV monitoring system using wireless sensor networks.  The temperature and humidity parameters were measured using DHT22. While ACS 712 5A current sensor and Arduino voltage sensor modules were used to measure photovoltaic output current and voltage respectively. Web application has been developed in the base station using PHP programming web server to access the sensor nodes through Zigbee wireless data communication. The user can access the HTML web interface of Photovoltaic monitoring system through local Ethernet or Wi-Fi connection. The residential 1.25 kWp grid connected photovoltaic system used to test the developed monitoring system. The data received exactly same as data sensed from remote area with average delay time 3 to 4 seconds. The result shows the photovoltaic power generation caracteristics under clear sky, cloud cover, and rainy weather conditions. The power 608.12 Wp has been generated by the solar panel from 7.00 am to 6.00 pm or 6.7 kWh per day during clear sky. During intermittent cloud covered the photovoltaic power graph have shown fluctuation power profile and energy conversion were decreased as well as in raining weather condition. The electrical power has been generated by photovoltaic for almost 12 hours per day in tropics area, but energy conversion is highly influenced by weather conditions, especially cloud cover, overcast and rainy.
Implementation of IPsec-VPN Tunneling using GNS3
Authors: Salman Fatimah A.
Published: January 2019

Virtual private networks (VPN) are used by remote clients to securely connect to company networks. This paper deals with Site-to-site IPsec-VPN that connects the company intranets.  IPsec-VPN network is implemented with security protocols for key management and exchange, authentication and integrity which implemented using GNS3 Network simulator. The testing, verification analyzing of data packets of the network is done using both PING tool and Wireshark.
Performance of Parallel Computing in Bubble Sort Algorithm
Authors: Rihartanto Rihartanto , Susanto Arief , Rizal Ansar
Published: January 2019

The performance of an algorithm can be improved by using a parallel computing programming approach. In this study, the performance of bubble sort algorithm on various computer specifications has been applied. Experimental results have shown that parallel computing programming can save significant time performance by 61%-65% compared to serial computing programming.
Comparison of Surface Roughness Prediction with Regression and Tree Based Regressions During Boring Operation
Authors: Surendar S. , Elangovan M.
Published: January 2019

Modern manufacturing methods permit the study and prediction of surface roughness since the acquisition of signals and its processing is made instantaneously. With the availability of better computing facilities and newer algorithms in the machine learning domain, online surface roughness prediction will lead to the manufacture of intelligent machines that alert the operator when the process crosses the specified range of roughness. Prediction of surface roughness by multiple linear regression, regression tree and M5P tree methods using multivariable predictors and a single response dependent variable Ra (surface roughness) is attempted. Vibration signal from the boring operation has been acquired for the study that predicts the surface roughness on the inner face of the workpiece. A machine learning approach was used to extract the statistical features and analyzed by four different cases to achieve higher predictability, higher accuracy, low computing effort and reduction of the root mean square error. One case among them was carried out upon feature reduction using Principle Component Analysis (PCA) to examine the effect of feature reduction.
Skipped Zonal based Binary DCT (SZBinDCT) for Image communication over Resource Constrained Visual Sensor Network
Authors: Suseela G. , Phamila Y Asnath Victy
Published: January 2019

The contemporary advancements in CMOS technology and Multimedia systems enabled image communication over resource constrained Visual Sensor Network (VSN). However, the size of image data is huge. It is wise to send the compressed image over the bandwidth limited network. Compression algorithms also should be of energy efficient with low complexity and should offer acceptable image quality. In this work an image coder offering low bit rate less than 0.5bpp is aimed. In this paper, a low memory and energy efficient skipped zonal based Binary DCT is proposed that codes the transformed samples using Golomb Rice code. Simulation results offered low bitrate 0.39 bpp with PSNR of 27.34 dB for the standard gray scale test image of Lena size 512 x512 pixels.
Shape Defect Detection using Local Standard Deviation and Rule-Based Classifier for Bottle Quality Inspection
Authors: Mohd Saad Norhashimah , Nabilah Syazana Abdul Rahma Nor , Rahim Abdullah Abdul , Juzaila Abd Latif Mohd
Published: January 2019

This paper presents shape analysis using Local Standard Deviation (LSD) technique to detect shape defect of the bottle for product quality inspection. The proposed analysis framework includes segmentation, feature extraction, and classification. The shape of the bottle was segmented using LSD technique in order to obtain higher enhancement at the low contrast area and low enhancement at the high contrast area. The contrast gain that was applied in Adaptive Contrast Enhancement (ACE) algorithm, was presented inversely proportional to LSD in order to detect and eliminate background noise at the bottle edge. After the segmentation process, the parameters of the bottle shape such as height, width, area, and extent were extracted and applied in classification stage. The rule-based classifier was used to classify the shape of the bottle either good or defect. The offline experimental results exhibit superior segmentation on performance with 100% accuracy for 100 sample images. This shows that the LSD could be an effective technique to monitor the product quality.
Lightning Strike Impacts on Hybrid Photovoltaic-Wind System
Authors: Mohammed Zmnako , Hizam Hashim , Gomes Chandima
Published: January 2019

Study the impacts of lightning-induced transient overvoltage on a hybrid PV-Wind system has been addressed in this work. Overvoltage that is generated due to lightning stroke travels along the system where it can be very harmful to the expensive equipment of the system such as PV models, inverters, charge controllers, batteries, transformers, generator. etc. The simulation model of a system has been completed by using PSCAD/EMTDC software. The system comprises of 2 MW PV farm, battery system, 2.1 MW wind farm and loads which are all connected to the common AC bus and then to the utility grid through an interfacing transformer. Lightning current is generated by using the double exponential function, From the simulation results, when the lightning current is injected to the AC and DC sides of PV system, the transient current and voltage have appeared at different points of the hybrid system. The results were obtained for 8/20 μs and 10/350 μs standards lightning waveforms with current magnitude of 100 kA.
Series-Loaded Resonant Converter DC-DC Buck Operating for Low Power
Authors: F. Omar M. , C. M. Haris H.
Published: January 2019

This paper presents the functions of Series-Loaded Resonant Converter (SLRC). Series Loaded Resonant DC-DC converter is a type of soft-switching topology widely known for providing improved efficiency. Zero voltage switching (ZVS) buck converter is more preferable over hard switched buck converter for low power, high frequency DC-DC conversion applications. Zero Voltage switching techniques will be used to improve the efficiency of current and voltage at the series loaded half-bridge rectifier. The results will be described from PSIM simulation, Programming of MATLAB calculation and hardware testing.
Optimum Enhance Time of Use (ETOU) for Demand Side Electricity Pricing in Regulated Market: An Implementation Using Evolutionary Algorithm
Authors: Sulaima M. F. , Dahlan N. Y. , Yasin Z.M. , Asari N.A.M. , Bohari Z.H.
Published: January 2019

The energy growth in Malaysia is rapidly increasing as the country moves forward with the advancement of industrial revolution. Peak hours require more energy generation, thus cost is also more expensive than during off-peak. Due to this reason, Demand Side Management (DSM) through Demand Response (DR) technique is introduced to modify the demand profile by implementing different strategies of measures. The objective of this study is to optimize the energy profile for commercial sector, as well as analyse the significance of electricity cost reduction by using the optimization technique. A Meta-heuristic technique called as Evolutionary Algorithm (EA) has been implemented in this study to optimize the load profile of a commercial installation. Significant testing shows that the proposed optimization technique has the ability to reform the Maximum Demand from peak zone to off-peak zone to reduce electricity cost. The test results have been validated through 4 cases, which are conventional method for C1 ETOU, C2 ETOU, and C1 ETOU with Optimization technique, and C2 ETOU with optimization technique tariff, respectively. The impact of the EP has been analysed, while the performance of six-time segmentation of C1 and C2 ETOU tariff indicate that the electricity cost for the medium voltage of installation has been reduced. It is hoped that the results from this study can benefit consumers by giving them the flexibility to rearrange their own energy consumption profile, so that the demand side will enjoy significant reduction of electricity cost in the future.

 
Harmonic Effects Analysis of Electronic Loads Controller Controller On Self Excited Induction Generator (SEIG) Operations
Authors: Nazir Refdinal , Pawawoi Andi , Amalia Riska
Published: January 2019

The aplication of Electonic Load Controller (ELC) on Self-Excited Induction Generator (SEIG) driven by renewable energy sources creates harmonic issues. This paper has analyzed the propagation of the harmonic current generated by the ELC in the generator system. Mathematical modeling and computer simulation is used to analyze the propagation of harmonic currents generated by ELC on the generator system. Laboratory testing has also been conducted to justify the simulation results. The study results showed that the propagation harmonic currents created by ELC on the stator widings of SEIG and main load side are rejected for high order components, and attenuated for lower order components. Consequently, the THDI of stator and main load current will be reduced significantly.
UWB Filtenna with Electronically Reconfigurable Band Notch using Defected Microstrip Structure
Authors: Alhegazi Ammar , Zakaria Zahriladha , Azwan Shairi Noor , Sutikno Tole , Ahmed Sharif
Published: January 2019

A new design of filtenna with electronically reconfigurable band notch for ultra-wideband (UWB) applications is presented. The filtenna is designed based on modified monopole antenna integrated with resonant structure. To produce wider bandwidth with better return loss and higher frequency skirt selectivity, the monopole antenna is modified using microstrip transition in the feedline and block with a triangular-shape slot on each side of the circular patch. The resonant structure is about U-shaped slot defected on the feedline to achieve band notch characteristic. The position of the created band notch is controlled by optimizing the length of the U-shaped slot. By using a PIN diode switch inserted in the U-shaped slot to achieve reconfigurability feature. The experimental results show that the proposed design exhibits a wide bandwidth ranging from 3.0 to 14.0 GHz with reconfigurable band notch at 5.5 GHz (WLAN), and omnidirectional radiation pattern. Therefore, the proposed design is a good candidate for modern UWB applications.
Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing
Authors: Shakir Hasan Awni , Muniyandi Ravie Chandren , Ali Zulkarnain MD.
Published: January 2019

MANET is an autonomous collection of distributed mobile nodes. Every node in a MANET works as a source and a sink and that relays packets for other nodes. The key features of a MANET include dynamic network topology, distributed network nature, multi-hop communication, limited bandwidth, and limited energy constraints. Given that the battery of the nodes is limited, the energy of the nodes and the lifetime of network is a critical problem in MANETs. Moreover, nodes maintain static or less movement after being deployed. The energy of the MANET nodes cannot be recharged, which leads to dead nodes. This study improves the energy cost for the ACECR and boosts advancement through its contributions. Areas in the ad hoc network where much work is needed are discussed. This study only explored the impact of PSO on ACECR. Results indicate that ACECR- PSO performed better than the other protocols in terms of balanced energy consumption and extended network lifetime.
Automatic Cardiac Segmentation Using Triangle and Optical Flow
Authors: Sigit Riyanto , Ridho Barakbah Ali , Adji Sulistijono Indra , Shidqul Aziz Adam
Published: January 2019

Cardiac function assessment plays an important role in daily cardiology and ultrasound. Full automatic cardiac segmentation is a challenging study because cardiac ultrasound imaging has low contrast and irregular moves. In this research, full automatic cardiac segmentation for cardiac diseases is presented. The technique used Initial Center Boundary, Pre-processing, Triangle Segmentation and Optical Flow. The first step is determining the initial center boundary. The second step is using Pre-processing to eliminate noise. The third step is Triangle Segmentation to detect cardiac boundary and reconstruct the accurate border. The last step is applying Optical Flow method to detect and track the border for every frame in a cardiac video. The performance segmentation for assessment errors cardiac cavity obtained an average triangle 8.18%, snake 19.94% and watershed 15.97%. The experiments showed that triangle method is able to find and improve the segmentation of cardiac cavity images with accurate. The result can be seen that error between system and average of users is only less than 5.6%. This indicates that this method is effective to segment and tracking cardiac cavity in a cardiac video.
Design of a Reconfigurable, Modular and Multi-Channel Bioimpedance Spectroscopy System
Authors: Al-Hashimi Ahmed , Nurashikin Nordin Anis , Wong Azman Amelia
Published: January 2019

This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.
Dual-Wavelength Thulium Ytterbium Co-Doped Fiber Laser
Authors: Haris Hazlihan , Muhammad Ahmad Razif , Saidin Norazlina , Abidin Mohd Shahnan Zainal , Arof Hamzah , Paul Mukul Chandra , Harun Sulaiman Wadi
Published: January 2019

We report on the generation of dual-wavelength fiber laser peaking at 1990.64 and 1998.92 nm with a simple ring cavity setup. The lasers are demonstrated using a fabricated silica-based nano-engineered octagonal shaped double-clad Thulium-Ytterbium co-doped fiber (TYDF) as a gain medium in a simple all-fiber ring configuration. By using 980 nm multimode laser, a stable dual-wavelength laser is generated at a threshold pump power of 1500 mW due to the non-polarization rotation (NPR) effect occurred in the cavity. The effect has been self-controlled by a suppression of mode competition in the gain medium. The result shows that the slope efficiency of the generated dual–wavelength laser is measured to be 27.23%. This dual-wavelength TYDF laser operated steadily at room temperature with a 34 dB optical signal-to-noise ratio.

 
Keywords: Dual-wavelength fiber laser, nano-engineered glass, silica-based TYDF, NPR effect.
Performance Analysis of HRO-B+ Scheme for the Nested Mobile Networks using OPNet
Authors: Senan Shayma , Hashim Aisha Hassan A.
Published: January 2019

As a demand of accessing Internet is increasing dramatically, host mobility becomes insufficient to fulfill these requirements. However, to overcome this limitation, network mobility has been introduced. One of its implementation is NEMO Basic Support protocol which is proposed by Internet Engineering Task Force (IETF). In NEMO, one or more Mobile Router(s) manages the mobility of the network in a way that its nodes would be unaware of their movement. Although, it provides several advantages, it lacks many drawbacks in term of route optimization especially when multiple nested mobile networks are formed. This paper presents a new hierarchical route optimization scheme for nested mobile networks using Advanced Binding Update List (BUL+), which is called HRO-B+. From performance evaluation, it shows that this scheme performs better in terms of throughput, delay, response time, and traffic, and achieves optimal routing.
Best Communication Node Election for well-organized Path in Flat Topology
Authors: Nisha M. , Poongavanam S.
Published: January 2019

There has been an increasing attentiveness in the uses of sensor networks. Because sensors are normally controlled in on-board power supply, proficient supervision of the network is essential in improving the life of the sensor. The majority research protocols objective at offering link breakage reducing and mitigating from the same. Yet, selecting the well-organized communication do all the beneficial to the transmission process thus demonstrating better improvement in the network performance. In this article, we propose Best Communication Node Election for well-organized Path in Flat Topology The main goal of this work is to choose the best data transmission node in flat topology for improve the multi hop routing. This scheme, the best communication node selection based on Path Metric and this Path Metric is measured by the packet obtained rate, dropped rate, latency rate and node energy. This scheme provide guarantees quality of Service in the network.
Hybrid Approach for Water Demand Prediction Based on Fuzzy Congnitive Maps
Authors: Jenitha G.
Published: January 2019

 In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). The proposed structure optimization genetic algorithm (SOGA) for automatic construction of FCM is used for modeling complexity based on historical time series, and artificial neural networks (ANNs) which are used at the final process for making time series prediction. The suggested SOGA-FCM method is used for selecting the most important nodes (attributes) and interconnections among them which in the next stage are used as the input data to ANN used for time series prediction after training. The FCM with proficient learning calculations and ANN have been as of now demonstrated as adequate strategies for setting aside a few minutes arrangement anticipating. The execution of the proposed approach is exhibited through the examination of genuine information of every day water request and the comparing expectation. The multivariate examination of recorded information is held for nine factors, season, month, day or week, occasion, mean and high temperature, rain normal, touristic action and water request. The entire approach was actualized in a clever programming device at first sent for FCM forecast. Through the exploratory investigation, the value of the new mixture approach in water request forecast is illustrated, by computing the mean outright blunder (as one of the outstanding expectation measures). The outcomes are promising for future work to this bearing.
Recent Patterns in Controlling and Monitoring System for Ships
Authors: Hanmantrao Gaikwad Pratibha , Pranshankar Dave Dhiren
Published: January 2019

The last two fourth of the century has been separate by the achievements in computerization of the marine methodology and in charge of operations for which this procedure has been made. These achievements have certified their capability and sensibility. The further progress in this circle is clear. On-board dispatch, the planned control and checking systems would grasp and manage all activities related with the association of the vessel, including stores and courses of action organization, work requests, logs, outfit mark outs and ringing and show diagnostics, drawings and work methods for outlining repair gatherings. By virtue of the creating measure of data and the propelling development, the chairmen need to oversee progressively and speedier information streams. The fundamental administration techniques will end up being more frustrated the ICMS systems more expansive. Additionally there is a creating enthusiasm for diminishment of the amount of crewmembers introduced. New development and new ICMS limits will manage these issues. The accompanying sections delineate the makers see as for the examples in ICMS structures.
Synchronous Winches to Lift the Ship and Distributed Control System to Distribute the Motor Loads for Marine Using CAN Protocol
Authors: Sundar R.
Published: January 2019

A shiplift is a modern alternative for these older systems. It consists of a structural platform that is lifted and lowered exactly vertical, synchronously by a number of hoists. First, the platform is lowered underwater, then the ship is floated above the support, and finally the platform with ship is lifted and the ship is brought to the level of the harbor. The modern ship lifts use synchronous winches to hoist a ship.

Our project proposes a new method to construct an automated ship lifting installation. According to this, each hoisting winch is entirely controlled by a dedicated microcontroller. All such hoists on either side of the platform are networked via CAN. This result in a distributed control system that runs all the hoists synchronously, thereby achieving precisely distributed motor loads and assuring that ships cannot slip. The project uses four such hoists to raise and lower the platform. Hoists are driven by dc motors with the microcontroller controlling the winch rotational speed. Each hoist is a CAN node on the network. In order to safely operate any shiplift, all hoists must be perfectly synchronized. Winches operate at the specified speed, regardless of load, behaving as if they are mechanically coupled together. A fifth node on the network acts as the control and monitoring unit for the entire hoisting maneuver. It has switches to start and stop the process and LCD screen to display the distribution of motor loads. The Ship lifting speed is changes according to the weight of the ship.
Software Aging Forecasting Using Time Series Model
Authors: Umesh I M , Srinivasan G N , Torquato Matheus
Published: January 2019

With the emergence of virtualization and cloud computing technologies, several services are housed on virtualization platform. Virtualization is the technology that many cloud service providers rely on for efficient management and coordination of the resource pool. As essential services are also housed on cloud platform, it is necessary to ensure continuous availability by implementing all necessary measures.  Windows Active Directory is one such service that Microsoft developed for Windows domain networks. It is included in Windows Server operating systems as a set of processes and services for authentication and authorization of users and computers in a Windows domain type network. The service is required to run continuously without downtime. As a result, there are chances of accumulation of errors or garbage leading to software aging which in turn may lead to system failure and associated consequences. This results in software aging. In this work, software aging patterns of Windows active directory service is studied. Software aging of active directory needs to be predicted properly so that rejuvenation can be triggered to ensure continuous service delivery. In order to predict the accurate time, a model that uses time series forecasting technique is built.
Yagi-Uda Antenna for Navigational Aids Using HFSS
Authors: P. Ramesh , Mathivanan V.
Published: January 2019

In this paper, the ultra high frequency of yagi-uda antenna for navigational has been designed to improve the usable bandwidth by improving the stability of the radiation patterns. The frequency band of ultra high frequency is 300-3000 MHZ. The main aim of this paper is to reduce the loss, improve the gain and also to enhance the efficiency of ultra high frequency yagi-uda antenna for utilizing the navigational aids. The proposed UHF band of Yagi-Uda antenna has been designed by using ANSYS HFSS tool for the application of navigational aids. The characteristics specifications of yagi-uda antenna such as Radiation pattern, S11 (return loss), impedance matching and gain are analyzed in this work.
Canny Junk System based on IOT
Authors: Wilfred Shiju D.
Published: January 2019

Waste organization is one of the fundamental issue that the world goes up against free of the case of made or making country. The key issue in the waste organization is that the junk canister at open spots stretches out beyond time some time as of late the start of the accompanying cleaning process. It is this way prompts distinctive dangers, for instance, horrendous aroma and disagreeableness to that place which may be the principle driver for spread of various afflictions. To avoid all such hazardous circumstance and keep up open cleanliness also, prosperity this work is mounted on a splendid decline structure. The guideline subject of the work is to develop a sagacious astute deny prepared structure for a real junk organization .This paper proposes a smart prepared structure for junk space by giving an alert banner to the common web server for minute cleaning of dustbin with honest to goodness check based on level of waste filling. This technique is bolstered by the ultrasonic sensor which is interfaced with Arduino UNO to check the level of waste filled in the dustbin and sends the alert to the common web server once if waste is filled. 
Nautical Ad-hoc Network Application Development for Maritime Communications
Authors: Samson Joseph Capt.
Published: January 2019

High data rate communication in terrestrial wireless scenarios can be accomplished by setting up Base Stations (BS) on the ground. But applying the similar technique to maritime communication may not be suitable because owing to the geographically constrained nature of the ocean, henceforth, MF/HF modems, extensive-distance transmission characteristics with low data-rate are commonly employed in maritime communiqué. Inmarsat is conservatively used in Maritime satellite communiqué in order to reimburse for low data-rate transmission of MF/HF modems, but its main negative aspect is high cost. To improve the transmission speed along with low price, in general, a network whose architecture is similar to Vehicular Adhoc Network (VANET), that permits peer-to-peer transportation without BS, i.e., ad-hoc network is critical. An ad-hoc network for nautical environment named as Nautical Ad-hoc Network (NANET) was proposed. Multiple access and duplexing schemes are used to implement the nautical network for corresponding NANET scenarios. 
Transformer Exchanging with Vacuum Electrical Switch
Authors: Priya. K.R Anu , T Sasilatha
Published: January 2019

This paper presents investigation of conceivable transient overvoltage that can be produced amid vacuum electrical switch (VCB) operation at the association purpose of a photovoltaic power plant. Average exchanging occasion that is identified with VCB concerns stimulation and de-empowerment of emptied transformer. Nonetheless, at the common photovoltaic power plant the transformer is sustained by an inverter outfitted with LC (or LCL) channels that are important for constraint of music and swell in voltage and current. From the perspective of exchanging operations, the inductance and capacitance of the LV side associated channel influence the regular recurrence of the transformer, which is reflected by various transient framework reaction amid VCB working. In this article, research facility estimation of overvoltage produced amid dispersion transformer exchanging by methods for VCB is examined. Effect of the LC channel associated at the LV side on the overvoltage concealment was contemplated. EMTP-ATP recreations were directed with a specific end goal to confirm the likelihood of homeless people end by methods for extra arrangement associated RL gag at the transformer medium voltage side.
Direction-Finding Scheme For Multi Base Position Classification
Authors: S Karpagavalli , Balamurugan V.
Published: January 2019

In GPS denied conditions Unpretentious course structures that work especially with an excessive number of philosophies required after a colossal test that in the imaginative work gathering. The paper proposed an idea to overcome a occurring due to GPS denied condition in view of 3D inertial course system. The system would track the location for further improvement of an officer continuously in a multi-floor building of a particular area. In the midst of an urban fight situation an operation of lobbyist or putting out flames is really essential. The considerable number of fighters would be known about the area and development among themselves and to the military troop outside the building.  This framework is valuable to lead the group appropriately in urban to protect the harmed individuals and it will demonstrate the change of overview.
Handheld Secured Electronic Doorstep Banking System that allows Cash Withdrawal and Deposit Facility for Remote and Rural Areas
Authors: Kannan G.
Published: January 2019

The bank's similar massive customer base isn't inside the urban level notwithstanding, inside the repeatedly pretermitted rustic territories. Light errands like getting without end to the ATM and withdrawing trade cause people out towns lose their working hours and, thus, miss a major live of their monetary profit moreover. In this paper a secured handheld doorstep managing an account industry alluded to as Micro-bank machine is proposed to concede administration to the buyers in provincial ranges and remote places, for example, towns. The arranging may likewise be worked inside and on the most distant side of the consistent managing an account hours. The primary point of the handheld machine is to control managing an account administration like cash withdrawals and cash store while not the individual always pointing to a bank even in remote territories wherever even a GSM cell affiliation isn't conceivable.
Quantization Encoding Algorithm Based Satellite Image Compression
Authors: M Anand , Mathivananr V.
Published: January 2019

In the field of digital data there is a demand in bandwidth for the transmission of the videos and images all over the worlds. So in order to reduce the storage space in the field of image applications there is need for the image compression process with lesser transmission bandwidth. So in this paper we are proposing a new image compression technique for the compression of the satellite images by using the Region of Interest (ROI) based on the lossy image technique called the Quantization encoding algorithm for the compression. The performance of our method can be evaluated and analyzing the PSNR values of the output images.
Fault Distance Identification Using Impedance and Matching Approaches on Distribution Network
Authors: Awalin Lilik Jamilatul , Mokhlis H. , Rahmat M. K. , Shilpa Sophi , Albatsh Fadi , Ismail Bazilah
Published: January 2019

In this paper, impedance based method and matching approaches were used separately to detect three phase to ground fault (LLLGF). In order to observe the accuracy of each method, Non-homogeneous distribution network was used as a tested network. Actual data from TNB (Tenaga National Berhad) Malaysia was adopted to model the network by using PSCAD/EMTDC simulation program.  Both methods were tested to observe the accuracy of fault distance estimation. The comparison result shows different accuracy for each section which simulated in the middle of section. Based on the complexity of the distribution network, it possible to contribute difficulty to obtain the maximum accuracy. The result was obtained through the complete process which involves the database formation acquired through the PSCAD/EMTDC software simulator and the fault location distance calculation carried out by the MATLAB software.