bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient and Energy Scheme for Wireless Rechargeable Sensor Network
Authors: Saravanan S V
Published: January 2019

The wireless rechargeable sensor network is attractive crucial and important in recent years for the advancement of wireless energy communication skill. The previous explore shown that not all of sensors can be recharged due to the limitation of power capacity to mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to the exhausted energy, then the sensing task will be interrupted. Therefore, this paper proposes a novel recharging mechanism taking the priorities of sensors into consideration such that mobile chargers can recharge the sensor with a higher priority and the network lifetime can be efficiently sustained. The priority of each sensor depends on its contribution to the sensing task, including the coverage and connectivity capabilities. Based on the priority, the sensor with a higher priority will be properly recharged to extend the network lifetime. Simulation results show that the proposed mechanism performs better against the related work in network lifetime.
Efficient and Secure Resource Allocation and Data Forwarding in Cellular Network
Authors: Mishra Sudha , Arivazhagan A
Published: January 2019

Data sharing in networks are now days a challenging one where the source is sending a file to destination, major problem is interference. Once the router is set to search for a path takes too time for identifying a better path to transmit data. The performance is affected due to the time delay of searching path and the interference cause data loss or interruption of transmission. We proposed an overlay router which search better path in short period of time with the help of BJP router. When a sender sends the data, the overlay router contact with BJP router to analyze existing path used to transmit. To ensure a better path and low travelling time will be an efficient way to share the data between source and destination without any interference, low performance and time delay. BJP searches the existing routes that will be low processing time to forward the data sent by the source and received on time by the destination. Whenever a data is been shared between these two: source and destination, overlaying protocol is user to find the shortest path among the existing path search. By using overlay router and BJP router the performance is increased, avoid interference, path identification is solved within short time and provide a better solution for the current environment.
Electrical Interference Problemson Commercial Fishing Vessels – A Review
Authors: Sinha Pankaj Kumar , Sharan Preetha
Published: January 2019

Canadian Coast Guard (CCG) provides Marine Communications centre (MCC) with financial assistance surveyed for Electromagnetic Compatibility and Electromagnetic Interference (EMC/EMI) correlated troubles on industrial based fishing vessels less than twenty metres. The electrical condition should be provided for the vessels and it is the goal of the survey. By performing "electrical noise" measurement method the necessary data was obtained. Several autopilot systems are susceptible to High Frequency Single Side Band (HF SSB) transmitters due to the absence of electrical noise suppression scheme. The main objective of the survey is to analyse the better electrical noise suppression method for fishing vessels.
Embedded System Based Power Plant Monitoring and Controlling
Authors: Ashwin J S , Manoharan N
Published: January 2019

An embedded based power plant system is used for checking the environmental condition based on different sensor. The microcontroller is fixed inside the boiler which is a turbine, to monitor the status and the information is passed through GSM. In this project we proposed the main water tank supplies number of boilers. The water level is controlled by a water level sensor, each evaporator has two channels, one is delta other one is outlet and the channels' valves are controlled by some temperature sensors composed in each package. From the GSM modem, the user will get the present status of the boiler level by sending a radiator ID number as message. When the temperature inside the boiler exceed the threshold value it will indicate as a warning to the concerned authority person to take the immediate step.
Energy Efficient for Web of Things Based on Reconfigurable Smart Quality Management Scheme
Authors: N Prasanna Moorthi , Mathivananr V
Published: January 2019

Since the powerful and productive arrangement of water quality observing (WQM) are basic usage for the issue of contaminated water all inclusive, with expanding in the advancement of Wireless Sensor Network (WSN) innovation in the Internet of Things (IoT) condition, ongoing water quality checking is remotely checked by methods for continuous information obtaining, transmission and handling. This paper exhibits a reconfigurable brilliant sensor interface gadget for water quality checking framework in an IoT situation. The brilliant WQM framework comprises of Field Programmable Gate Array (FPGA) outline board, sensors, Zigbee based remote correspondence module and (PC). The FPGA board is the center part of the proposed framework and it is customized in fast incorporated circuit equipment depiction dialect (VHDL) and C programming dialect utilizing Quartus II programming and Qsys instrument. The proposed WQM framework gathers the five parameters of water information, for example, water pH, water level, turbidity, carbon dioxide (CO2) on the surface of water and water temperature in parallel and progressively premise with fast from numerous distinctive sensor hubs.
Energy Management in Current Fed Switched Inverter Based Propulsion Motor for Marine Application
Authors: M Anand , Mathivananr V
Published: January 2019

In this paper the super capacitor and battery based current fed switched converter produce high voltage gain and the performance of motor is improved. The fuel based renewable energy produce the less dynamic performance of the motor and life time is reduced so the proposed paper use the super capacitor based energy production. The permanent magnet synchronous based motor has high performance. The permanent magnet synchronous motor vector control strategy is adopted. The proposed method the inverter and motor are interconnected. The motor functioning is used in the marine based electric device. The proposed method use the space vector control method is used.  The possibility of the system and the control methods are established by MATLAB/ simulink environment.
Energy Monitoring System to Display on Web Page Using ESP8266
Authors: Veerakumar P
Published: January 2019

The Concepts of the Internet of Things associated with different applications running from home motorisation to habitual IoT, Where partner physical things, from wherever through a system. This will give incite access to information about the physical world and the articles in it provoking imaginative organisations and augmentation in capability and productivity. The framework proposes to build up an IoT based Interactive Industrial Home remote framework, Energy administration framework and inserted information obtaining frame to show on site page utilising GPRS, SMS and E-mail caution. Give them a chance to take a dynamic part of the Internet, trading data about themselves and their environment.  It is wanted to style a re-configurable sensible gadget interface for mechanical WSN in IoT climate, amid which ARM  received as the centre controller. Along these lines, it will filter data in parallel and continuously with rapid on many unique gadget data. Astute gadget interface particular is received for this style. The gadget consolidated with the latest ARM programmable innovation and savvy gadget determination. By recognising the estimations of sensors it can effortlessly discover the Temperature, Smoke, and Fire introduce in the mechanical condition on the Website, and we can deal with any circumstance from anyplace on the planet through IOT. This gadget is primary for sensor information accumulation and controlling of the new Home Wireless Sensor Networks (WSN) in the Internet of Things (IoT) condition. Preventive measures are effectively actualised to avoid problems.
Force Multiplier Effect of Futuristic Battlefield Preparedness by Adapting the Internet of Things (IoT) Concept
Authors: Kannan G , Manoharan N
Published: January 2019

The present-day Battlefield environment depicts a scenario wherein various heterogeneous warfighting vehicles/equipment are conglomerated, and the high command takes a decision based on the different inputs and data received from the warfighting entities.  This aspect generates voluminous data and communication directives occupying the complete frequency spectrum and moving up and down. This paper proposes a scheme based on the Internet of Things (IoT) philosophy.  The primary focus will be to deploy ubiquitous sensing enabled technologies (IoT) in all the battlefield fighting entities. This medium in effect means the interconnection of uniquely identifiable embedded computing-like devices and formulation of an internet infrastructure. The newly proposed IoT devices in all the battlefield fighting entities will gather, infer and understand in-situ commands and data and in turn pass on to the highest decision-making authority. A simple IoT based model will be deployed in the battlefield scenario enhancing the force multiplier effect.
Full C-Band Tunable V-Cavity-Laser based TOSA and SFP Transceiver Modules
Authors: K Saravanan , Mathivanan V
Published: January 2019

We report the latest development in tunable transmitter optical sub-assembly (TOSA) and small form-factor pluggable (SFP) transceivers based on simple and compact V-cavity laser (VCL), aiming for low-cost deployment in metro, access and data center networks. The VCL employs a half-wave coupler to achieve high side-mode suppression ratio (SMSR) and the Vernier effect to achieve a wide wavelength tuning range. Full C-band tuning from 1529.55-nm to 1566.31-nm with SMSR above 36 dB is demonstrated. Since the laser does not involve any grating or epitaxial regrowth, and has a simple tuning algorithm, it allows simpler processes for fabrication and testing as compared to other widely tunable laser structures. Compact TOSAs and SFP transceiver modules have been developed for full C-band tuning with up to 93 channels at 50 GHz spacing. Transmission experiments are carried out for direct modulation with data rates from 2.5 Gbps to 8.5 Gbps. The results of reliability tests of the modules are also presented.
Fuzzy Cognitive Maps Based Game Balancing System in Real Time
Authors: Dhanji Patel Kalpana , Singh Santhosh Kumar
Published: January 2019

Players may stop playing a picked amusement sooner than anticipated for some reasons. A standout amongst the most vital is identified with the way amusement planners and designers adjust diversion challenge levels. Practically speaking, players have distinctive ability levels and may discover common foreordained troublesome levels as too simple or too hard, getting to be noticeably disappointed or exhausted. The outcome might be diminished inspiration to continue playing the diversion, which implies decreased engagement. A way to deal with alleviate this issue is dynamic amusement trouble adjusting, which is a procedure that alters diversion play parameters progressively as indicated by the present player aptitude level. In this paper we propose a constant answer for DGB utilizing Evolutionary Fuzzy Cognitive Maps, for progressively adjusting a diversion trouble, giving a very much adjusted level of test to the player. Transformative Fuzzy Cognitive Maps depend on ideas that speak to setting diversion factors and are connected by fluffy and probabilistic causal connections that can be refreshed progressively. We talk about a few re-enactment tries that utilization our answer in a runner sort amusement to make all the more captivating and dynamic diversion encounters.
Heuristic Based Power Consumption Minimisation and Optimisation on Smartphones
Authors: B Suresh G , Mathivanan D
Published: January 2019

In the direction of capable save the energy of battery life in Smartphone accurate with sensible influence form of Wi-Fi data communication in infrastructure mode. The network environment parameters like still time in a 3G system the network throughput and the convey pattern have been accepted all through measurement study the collective impact of an issue has not been systematical.
Household Purposes in A Single Touch Via Bluetooth Using Smartphones
Authors: Rohit Bhavani , J Rengamani
Published: January 2019

Technology emerges in our environment day by day. But, still, we lag in keep on using multiple remotes for every device in our homes. Once Bluetooth came up it changes. People started using mobile phones connected to their devices to hear songs wireless and change channels using a mobile phone. A further implementation is kept on moving with multiple remotes for their usage. So, we had an idea that all our household devices may be controlled on our mobile phones via Bluetooth which is cheaper even for urban peoples. Now, all home devices with remote are IR based which doesn't work on sunlight, fluorescent bulbs due to interference. Switch over Bluetooth control reduces remotes in a sense called plastics. Mobile applications are evolved user-friendly to all the people on the day to day lives. Merge those applications to the household devices to control all household devices operated via remote such as TV, DVD, Home theatres, AC, even Table fan etc., Instead of removing IR's just interface Bluetooth chip on those household devices to control every remote device by using your smartphone. Why I am moving to Bluetooth instead of Wi-Fi. Bluetooth is cheaper, advanced to control devices in the range of 50 meters. But IR is useful to 10 meters, and once you block the signal, it will not work.
Implementation of Antiestablishment Wire Fault Sensing Using CC3200
Authors: Shanmugasundaram S
Published: January 2019

Underground cables are inclined to faults because of underground conditions. Detecting particular fault area in the underground cable is a tedious one for that the whole line is to be dug check and settle issues. The proposed method using IoT identifies the correct fault position that makes repairing work simple. The professional domain workers identify the fault area sometimes they also are not able to predict the fault location. Determining fault in the cable itself take lots of time, cash and endeavours and furthermore permit to service underground links speedier. An excellent Wi-Fi featured ARM Cortex-M4 microcontroller is utilised to implement the system. This device offers a total, ease, practical and easy to use method for continuous checking. The fault is acknowledged with the help of sensors placed over the cable. The cell phone application furnishes with a GUI to screen the information from a remote area. The cloud server act as the centre man between the hardware device and the cell phone application dealing with the data movement.
Performance Analysis of Uplink Scheduling Algorithms in LTE Networks
Authors: Bt Ismail Shafinaz , Bt Mohd Ali Darmawaty , Ya’acob Norsuzila
Published: January 2019

Scheduling is referring to the process of allocating resources to User Equipment based on scheduling algorithms that is located at the LTE base station. Various algorithms have been proposed as the execution of scheduling algorithm, which represents an open issue in Long Term Evolution (LTE) standard. This paper makes an attempt to study and compare the performance of three well-known uplink schedulers namely, Maximum Throughput (MT), First Maximum Expansion (FME), and Round Robin (RR). The evaluation is considered for a single cell with interference for three flows such as Best effort, Video and VoIP in a pedestrian environment using the LTE-SIM network simulator. The performance evaluation is conducted in terms of system throughput, fairness index, delay and packet loss ratio (PLR). The simulations results show that RR algorithm always reaches the lowest PLR, delivering highest throughput for video and VoIP flows among all those strategies. Thus, RR is the most suitable scheduling algorithm for VoIP and video flows while MT and FME is appropriate for BE flows in LTE networks.
Classification of The NTEV Problems on The Commercial Building
Authors: Mat Yusoh Mohd Abdul Talib , Asman Saidatul Habsah , Yasin Zuhaila Mat , Abidin Ahmad Farid
Published: January 2019

Neutral to Earth Voltage (NTEV) is one of power quality (PQ) problems in the commercial building that need to be resolved.  The classification of the NTEV problems is a method to identify the source types of disturbance in alleviating the problems.  This paper presents the classification of NTEV source in the commercial building which is known as the harmonic, loose termination, and lightning.  The Euclidean, City block, and Chebyshev variables for K-Nearest Neighbor (K-NN) classifying are being utilized in order to identify the best performance for classifying the NTEV problems.  Then, S-Transform (ST) is applied as a pre-processing signal to extract the desired features of NTEV problem for classifier input.  Furthermore, the performance of K-NN variables is validated by using the confusion matrix and linear regression.  The classification results show that all the K-NN variables capable to identify the NTEV problems. While the K-NN results show that the Euclidean and City block variables are well performed rather than the Chebyshev variable.  However, the Chebyshev variable is still reliable as the confusion matrix shows minor misclassification. Then, the linear regression outperformed the percentage close to a perfect value which is hundred percent.
Extended FTOPSIS with Distance and Set Theoretic-Based Similarity Measure
Authors: Sulaiman Nor Hashimah , Mohamad Daud , Shariff Jamilah Mohd , Sayed Ahmad Sharifah Aniza , Abdullah Kamilah
Published: January 2019

Comparing fuzzy numbers is an essential process in deducing the output of many fuzzy decision making methods. One of the comparison methods commonly used is by using similarity measure. The main advantage of the similarity measure over other approaches is its ability to minimize the loss of information in the computational process. Several similarity measures have been applied effectively in fuzzy decision making methods. In this paper, a new similarity measure based on the geometric distance, the center of gravity, Hausdorf distance and the set theoretic similarity formula known as the Dice similarity index are incorporated into the Extended Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method particularly in calculating the closeness coefficients. This similarity measure is in favor of others as it is able to discriminate two similar shape fuzzy numbers effectively with two different locations. A validation process is carried out by implementing the proposed procedure of the Extended FTOPSIS with the new similarity measure in solving a supplier selection problem and the ranking outcome is then compared with the Extended FTOPSIS with other existing similarity measure. The result shows that the Extended FTOPSIS with the proposed similarity measure gives a consistent result without reducing any information in the computational process.
Performance of Support Vector Machine in Classifying EEG Signal of Dyslexic Children using RBF Kernel
Authors: Zainuddin AZA , Mansor W. , Y. Lee Khuan , Mahmoodin Z.
Published: January 2019

Dyslexia is referred as learning disability that causes learner having difficulties in decoding, reading and writing words. This disability associates with learning processing region in the human brain. Activities in this region can be examined using electroencephalogram (EEG) which record electrical activity during learning process. This study looks into performance of Support Vector Machine (SVM) using RBF kernel in classifying EEG signal of Normal, Poor and Capable Dyslexic children during writing words and non-words. Discrete Wavelet Transform (DWT) with Daubechies order 2 was employed to extract the power of beta and theta waves of EEG signal. Beta and Theta/Beta ratio form the input features for classifier.  Multiclass one versus one SVM was used in the classification where RBF kernel parameters and box constraint values were varied with the factor of 10 to analyze performance of the classifier. It was found that the best performance of SVM with 91% overall accuracy was obtained when both kernel scale and box constraint are set to one.
Effective Sampling-Based Assessment Method for Evaluating Electrical Engineering Programme Performance
Authors: Mansor W. , Rahimullah B. N. Sheikh , Taib M. N. , Zaini N. Mohamad , Latip M. F. Abdul , Mahmud A. R.
Published: January 2019

Challenges in the conventional way of measuring programme outcome include large data sets to be processed, a large amount of manpower, operating cost increment and time consuming. A sampling-based approach to evaluate the performance of a programme is proposed and a mathematical model is developed to determine the overall programme outcome score. The criteria for course selection and percentage of students considered in the assessment, was designed to accelerate the process. The results obtained from the implementation of sampling based approach in the assessment have shown that the programme is successful and the students have achieved the required knowledge and skills. The sampling-based approach is capable of demonstrating the programme and the students’ achievement.
Usability Analysis of Business Intelligence Tool Based Table Virtualization
Authors: Ul Haq Muh Zia , Suharjito Suharjito
Published: January 2019

The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. 
Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA
Authors: Hussain Sadiq , Abdulaziz Dahan Neama , Ba-Alwi Fadl Mutaher , Ribata Najoua
Published: January 2019

In this competitive scenario of the educational system, the higher education institutes use data mining tools and techniques for academic improvement of the student performance and to prevent drop out. The authors collected data from three colleges of Assam, India. The data consists of socio-economic, demographic as well as academic information of three hundred students with twenty-four attributes. Four classification methods, the J48, PART, Random Forest and Bayes Network Classifiers were used. The data mining tool used was WEKA. The high influential attributes were selected using the tool. The internal assessment attribute in the continuous evaluation process makes the highest impact in the final semester results of the students in our dataset.  The results showed that random forest outperforms the other classifiers based on accuracy and classifier errors. Apriori algorithm was also used to find the association rule mining among all the attributes and the best rules were also displayed.
Efficiency of Flat File Database Approach in Data Storage and Data Extraction for Big Data
Authors: Yusof Mohd Kamir , Man Mustafa
Published: January 2019

Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML and JSON are chosen by many organization because of powerful approach during retrieval and storage processes. However, these approaches, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, three databases approaches namely Extensible Markup Language (XML), Java Object Notation (JSON) and Flat File database approach were investigated to evaluate their suitability for handling thousands records of publication data. The results showed flat file is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML, JSON and Flat File database approach technologies are relatively new to date in comparison to the relational database. Indeed, Text File Format technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
Visual-Based Fingertip Detection for Hand Rehabilitation
Authors: Qurratu’aini Dayang , Sophian Ali , Sediono Wahju , Md Yusof Hazlina , Sudirman Sud
Published: January 2019

This paper presents a visual detection of fingertips by using a classification technique based on the bag-of-words method. In this work, the fingertips are specifically of people who are are holding a therapy ball, as it is intended to be used in a hand rehabilitation project. Speeded Up Robust Features (SURF) descriptors are used to generate feature vectors and then the bag-of-feature model is constructed by K-mean clustering which reduces the number of features. Finally, a Support Vector Machine (SVM) is trained to produce a classifier that distinguishes whether the feature vector belongs to a fingertip or not. A total of 4200 images, 2100 fingertip images and 2100 non-fingertip images, were used in the experiment. Our results show that the success rates for the fingertip detection are higher than 94% which demonstrates that the proposed method produces a promising result for fingertip detection for therapy-ball-holding hands.
Growth-site Quality Assessment of Nypa fruticans using Unmanned Aerial Vehicles Images: A case study in Kubu Raya Regency, West Kalimantan Province
Authors: Kardika Adelia Juli , Jaya I Nengah Surati , Puspaningsih Nining , Mulia Fairus
Published: January 2019

The growth-site quality is one of the essential information needed to support sustainable forest management particularly in forestry planning. This paper describes the development of a site-quality class of Nypa vegetation by considering the biological and physical factors. The main objective of this study is to develop a discriminant model and to find out major factors that may be used to predict the quality of Nypa growth-sites.The model was developed using variables either measured on UAV images or from field measurement, namely soil texture (X1), water salinity (X2), water pH (X3), crown closure (X4) and stand density (N) measured on the UAV image (X5). The study found that the site quality of Nypa could be indicated by the variation of its biomass content. Then, it was concluded that the major factors that affect the site quality are the soil texture (X1),water salinity (X2),and water pH (X3) with 78.3% of overall accuracy.
Improvement of Garbage Management for NAND Memory System
Authors: Thileepan A. , Ramachandran S.
Published: January 2019

Recent days increasing the use of flash memory device in embedded systems. Diverse qualities of NAND blaze recollections from hard circles include: a constrained square eradicate check, the inconceivability of set up refresh, and asymmetry in operation granularity. Along these lines different rubbish accumulation procedures for the NAND streak recollections have been proposed. In any case, existing rubbish accumulation procedures obstruct square wear leveling since they utilize a similar technique for both hot and icy information. In this paper, we propose effective junk accumulation and piece administration strategies to enhance piece wear leveling and trash gathering speed. Above all else, information is arranged into three sorts concurring to alteration recurrence - hot information, cool information, and warm data and distinctive sorts of information are put away in various pieces. The delete cost is figured considering information sort, and afterward junk gathering is performed for the hinders whose eradicate costs surpass the limit esteem. Furthermore, unique square records are made in RAM by information sort, and the squares are orchestrated in the request of their eradicate cost.
Intensity and Trustworthiness Awake Delay Perceptive Routing for Submarine WSNs
Authors: Devakumar Devakumar , Balamurugan V.
Published: January 2019

Submarine Wireless Sensor Networks (SWSNs) have earned important concentration of both university and manufacturing in current years. In this paper, we introduce intensity and trustworthiness awake delay perspective (ITADP) routing protocol for submarine WSNs. We get inspiration from Submarine Opportunistic Routing (SOR) protocol that explains expected end-to-end latency from Sender sensor to sink. We consider two faults in SOR. Initially, in SOR protocol, sensor transmit the information to intermediate node that have higher trustworthiness missing the depth of the forwarder node, thus create more hop counts. The coordination time of intermediate sensor cluster is second fault that increases the latency. Thus, we introduce Intensity and trustworthiness awake routing in submarine WSNs.
Investigation and Visualization of Query Determine Spatial Pattern in GIS
Authors: A Anto Xavier. , Arivazhagan A.
Published: January 2019

Earth elements are arranged following one or many standards called spatial patterns. Around the globe many elements share normal examples. To find those patterns and dissecting those through a few information visualization strategies can prompt a decent choice supporting framework. Information like area astute populace, schools and healing facilities is gathered from various sources. To store GIS information PostgreSQL and PostGIS is giving a good support and capable database. GIS maps are made utilizing instrument QGIS (Open source) for the visualization reason. To characterize basic example from the given dataset, bunches are framed from populace field. To bunch information OPTICS grouping strategy is utilized. At that point choice tree by data pick up strategy is utilized for the administered learning. To show the outcome open source programming Geo server is utilized. Geo server handle the client questions and show the outcome on the dynamic maps.
License Plate Recognition Using Undecimated Wavelet Transform
Authors: Kannan G.
Published: January 2019

License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is used to get accurate results after feature extraction. Finally detected images are used for classification purpose using the feature coefficients. This technique is applied to all the unidentified and training images, extracted features are used as input to Back Propagation Neural Network (BPNN). The evaluation of the system is based on public database.
Load Balance: Energy Efficient Routing Protocol in Wireless Sensor Network
Authors: Masood A. Mohamed Divan , Muthusundar S. K.
Published: January 2019

Energy  consumption  is  one  of  the  major  issue  in Wireless Sensor Network  (WSN)  which reduces the lifetime of the network. In this developed work an  Cluster based Energy Efficient Routing Protocol (CBEERP) , which is  gathering the sensor hubs  in the system  into  clusters,  in this manner it productively decreased the flooding  traffic  during  discover the routing. The proposed CBEERP will balance the Energy in the Group by using some second order nodes. The reinforcement High effective hubs replace the cluster head after the cluster reaches to its threshold energy level. This CBEERP will help the effectiveness and lifetime of the system.
Multiplexer Based Multiplications for Signal Processing Applications
Authors: Sinha Pankaj Kumar , Sharan Preetha
Published: January 2019

In signal processing, Filter is a device that removes the unwanted signals. In any electronic circuits, Filters are widely used in the fundamental hands on tool. The basic function of the filter is to selectively allow the desired signal to pass through and /or control the undesired signal based on the frequency. A signal processing filter satisfies a set of requirements which are realization and improvement of the filter. A filter system consists of an analog to digital converter is used to sample the input signal, traced by a microprocessor and some components such as memory to store the data and filter coefficients.  Filters can easily be designed to be “linear phase” and it is easy to implement. In this paper, the birecoder multiplier (BM) is designed in terms of VLSI design environment. The proposed multiplier is implemented by using VHDL language and Xilinx ISE for synthesis. The multiplier is mainly used for image processing applications as well as signal processing applications.
Optimization of Arithmetical Operators for the Enhanced Wallace Stage
Authors: Gugan K. , Saravanan S. V.
Published: January 2019

In the field of Digital signal processing (DSP), the reduction of some logical elements counts is one of the main considerations. To minimize the area, computational delay, and power, the digital form FIR filter is to be implemented. The optimization of the ATP (Area, Time and Power) is achieved by using the efficient multiplication and accumulation unit (MAC). In this work, the direct form FIR filter with the efficient MAC unit is presented. At the initial stage, the half adders and full adders are to be modified by the reduction of the logical gates. The modified half and full adder are implemented in the Wallace tree multiplier for performing the efficient multiplication process. Carry save adder is divided into the two stages to reduce the computational delay of arithmetical operators. The proposed MAC design is implemented in the direct form FIR filter by using the HDL language.
Path Optimization Algorithm in Wireless Sensor Network with Obstacle
Authors: Praveen J. S. , Mayilvahanan Mr.
Published: January 2019

Clustering is used for prolonging the network lifetime in WSN. It groups sensor nodes into different groups and selects a single node as a cluster head (CH) for all the groups. CHS collect the data from consonant clusters and forward the data to base station. In this paper, we proposed path optimization algorithm in Wireless Sensor Network with an obstacle (POAWSNO) that periodically selects the cluster heads according to quality factor. The quality factor is estimated by three criteria including quality of the link, remaining energy and degree of the node. Path optimization technique determines the shortest path during obstacle present in the WSN. POT is used to reduce the hop count and packet delay. The simulation results demonstrate that this approach improves the throughput and reduce the loss of packets and energy consumption in the network using network simulator.
Performance Development of A BLDC Motor Driven Water Pump Using KY Converter
Authors: Priya Anu , Sasilatha Sasilatha
Published: January 2019

This paper presents a performance investigation of bldc motor employing KY converter. Conventional The landsman converter is  used to minimize the ripples but  the inverter produces high output power ripples, which in turn affect the output of the inverter in The proposed KY converter  reduces ripples and smooth dc supply gives to the inverter  then it will used to operate brushless dc motor, which inturn improves the motor performance. the electronically commutated brushless DC with voltage source inverter can be operated at fundamental frequency is to reduce switching losses which output in higher efficiency.
Power of Ambient Tempurature on the Performance of the Semiconductor Laser
Authors: Ashwin J. S. , Manoharan N.
Published: January 2019

In this paper, the impact of surrounding temperature on the execution of the semiconductor laser is systematically examined in principle. We constructed the recreation display and the simulation results about showed that ambient temperature changes would influence the laser chip temperature, bringing about the laser key parameters in reproduction comes about.
Power Supply for Excitation Mechanism of Motor in Electrical Appliance
Authors: Franklin Benjamin , Sasilatha Sasilatha
Published: January 2019

In this paper, we propose another sort of brushless excitation system. Fueling the engine energizing twisting by remote power transmission (WPT) in light of attractively coupled reverberation can be a proficient approach to stay away from mechanical association of the rotor and the outer terminal, and accomplish brushless excitation advantageously and financially in a novel strategy. The constituent parts of this excitation instrument and the way they cooperate are presented. We additionally plan distinctive sorts of resonators for various excitation requests. The electromagnetic condition of this instrument is contemplated and some corroborative investigations are done, the outcomes uncover the viability.
Proximity Sensors Based Marine Engine Fault Detection Using CAN Protocol
Authors: Brindha J. , Vijayakumar V.
Published: January 2019

This paper talked about an outline and execution assessment of marine motor blame recognition framework by utilising vicinity sensor. A non-linearity can be diminished by using the sensor without expanding the reaction time by applying CANopen convention. The marine motor blame location framework can measures crankshaft deﬂection, and the base flawlessly focused of crosshead progressively and enabled it to keep good breakdown from the marine engine by interlocking AMS (Alarm Monitoring System).
Tracing Mathematical Function of Age Specific Fertility Rate in Peninsular Malaysia
Authors: Noor Mathivanan Norsyela Muhammad , Ab Ghani Puzziawati , Md.Ghani Nor Azura
Published: January 2019

The size, structure, and composition of a population are affected by the fertility rates at any point of time. Many researchers took the opportunity to exploit the fertility rates in obtaining better fertility patterns for their country. The curve for the age specific fertility rate is consistent, and this feature allows the curve to be matched with a mathematical model. This paper aimed to identify the best mathematical model that fits the recent age specific fertility rate in Peninsular Malaysia. This study fitted the fertility data of Peninsular Malaysia from 1996 to 2014 to the four mathematical models, which were Hadwiger, Gamma, Beta, and Gompertz models. From the comparisons of the four models, it was found that the best fitted mathematical model is Hadwiger model. In relation to the data of early 21st century, there was an inclination for the best fitted mathematical model from Hadwiger model to Beta model. Hence, the best mathematical model for each year can be used to convert a fertility schedule classified in a five-year age group into a fertility schedule for a single-year of age in Peninsular Malaysia. This model also can be helpful for population projections by using limited and defective data. 
Train Obstacle Detection System Using Avr Microcontroller and SR04 Ultrasonic Sensor
Authors: Aziz A.A. , Ahmad W.R.W.
Published: January 2019

In Malaysia, railway is considered as the backbone of transport, connecting people from all across the country. With the current state of economy, more people prefer to choose train as main transportation especially in big city area such as Kuala Lumpur. With lower cost and relatively the safest form of transports compared to the other transports, like cars, motorcycles or busses, it is a wise choice to use train as daily commute transport. Nowadays, the rail traffic network in Malaysia are getting busier with trains traveling at higher speeds and carrying more passengers with heavier axle loads than before. With the increase of passenger, the risk involved in daily train operation will significantly increase. An improved safety system is required to keep up with the ever growing train loads. The proposed safety system is applied to alert the train operators. The whole system is comprised of an ultrasonic sensor connected to a database and an Atmega328P microcontroller mounted on a custom PCB board. It is found that the train in this country requires a distance of 77 meter in order to completely stop the train with regards to a few assumptions on the average mass and the speed of the train.
Power Harvesting Using Piezoelectric Shoe For External Power Storage
Authors: Saffri Mazalan Mohammad , Mohamad Roslina , Kassim Murizah , Shahbudin Shahrani
Published: January 2019

The demands for portable energy source have increased because most portable electronic device needs the extra energy throughout the day due to the user’s increase in power consumption. Hence, a piezoelectric power harvesting shoe circuit with storage mechanism capabilities is designed by using piezoelectric disc material, 1N4007 bridge rectifiers, USB cables, and an external power storage. Piezoelectric disc material of 27mm and 35 mm in size that produces AC voltage when applied pressure is embedded in shoe’ insole and the output AC voltage is converted using a bridge rectifier for each material. The output is connected to a USB cable and can be connected to the external power storage during power harvesting. Different sizes of piezoelectric disc produce different amount of voltage and are also affected by the pressure applied to it. An amount of 5V is the requirements needed to charge an external device. The 27mm disc produces a voltage of 3V to 5V depending on the pressure applied while the 35mm disc produces 4V to 6.2V. Piezoelectric disc material is an alternative way to harvest energy when embedded to a shoe with an added storage capability as it solves the problem of needing the extra energy for electronic devices.
Personality Prediction Based on Iris Position Classification Using Support Vector Machines
Authors: Ramli Sofea , Nordin Sharifalillah
Published: January 2019

Predicting personality generally involves personal interpretations of a person which makes the current methods for personality prediction process less adequate, timely and tedious. Thus, a simple yet efficient alternative method is proposed in this project for detecting iris positions which are used in Neuro-Linguistic Programming as clues for the human internal representational system and mental activity. This study set out to determine several positions of the iris of a person based on the Eye Accessing Cues. The design and the development of a complete system will be undertaken as for the users to use as a medium to predict their personality based on their iris position. Several pre-processing techniques were executed to each of the data before run into the testing and training activities for accuracy gaining. The algorithm used for classification of the positions is Support Vector Machine which by taking rectangle crop of an eye with 9000 pixels as inputs. Radial Basis Function is used for the kernel parameter of the proposed method. The classification will then map into the type of a person with the lists of his personality based on Visual, Auditory and Kinaesthetic theory. The result of the classification of the iris positions is currently 84.9% accurate which in the future might be increased by tuning several other parameters that consisted in Support Vector Machine.
Development of Graphical User Interface (GUI) for University Student Health Monitoring
Authors: Saad Fadzliana , Ismail Ismarani , Syamir Mohamad Muhd
Published: January 2019

This paper presents the development of GUI to monitor health condition of university students of Universiti Teknologi MARA (UiTM) Shah Alam.
Bandpass filter Based on Ring Resonator at RF Frequency above 20 GHz
Authors: Wahab Norfishah Ab. , Amiruddin A. , Radzuan Roskhatijah , Mat Yasin Zuhaila , A. Salim N. , Rahmat N. A. , A. Aziz N. F.
Published: January 2019

This paper presents two dual-mode rectangular ring resonators, designed at RF frequency above 20 GHz for bandpass filter applications. The first resonator is designed at 20 GHz using single layer microstrip technology, on Rogers Duroid TMM10 substrate with the following characteristics; relative dielectric constant (εr) = 9.2, substrate thickness (h) = 1.270 mm, dielectric loss tangent (tan δ) = 0. The second resonator is built using multilayer CMOS technology at 75 GHz. The resonator is simulated using fluorinated silicon glass (FSG) and silicone rich oxide (SRO) with relative dielectric constant (εr) equals to 3.7 and 4.2 respectively. Both filter designs are built using full-wave electromagnetic simulation tool. For filter design using microstrip technology, the return lossis found at 9.999 dB and the insertion lossis at 3.108 dB while for filter design using CMOS technology, the return loss is found at 11.299 dB and the insertion lossat 0.335 dB. Both results had shown good passband performance with high rejection level at the out-of band.
SVPWM for 3-phase 3-level Neutral Point Clamped Inverter Fed Induction Motor Control
Authors: R Palanisamy , Vijayakumar K.
Published: January 2019

This paper gives Space Vector Pulse Width Modulation (SVPWM) for 3-phase 3-level Neutral Point Clamped (NPC) inverter fed induction motor control. A conventional two level inverter with 3-phase system has been developed for induction motor control. When it is applied for high voltage and power applications, which increases the voltage stress across the switch and harmonic content in the output. So multilevel inverter is much suitable for induction motor control, which provides nearly sinusoidal output voltage and diminished harmonic content in the output. Also the stator current of induction motor is minimsed, speed and torque of induction motor controlled with appropriate switching NPC inverter using SVPWM method. The proposed system simulation are verified using matlab simulink. 
An Efficent Distributed Medium Access Control for V2I VANET
Authors: S Neelambike , J Chandrika
Published: January 2019

Provisioning smart intelligent transport for vehicular ad hoc networks (VANETs) depends on dissemination of safety-related messages. The performance of VANET are highly affected due vehicle density, mobility and environmental condition. Recently several research has been under development, the design of a rapid, flexible, efficient and reliable medium access control (MAC) which address the precise constraint of smart intelligent transport system in the highly dynamic VANET environment. Extensive survey carried out in this work shows TDMA (Time division medium access) based MAC approach outperform carrier sense medium access/ collision avoidance CSMA\CA based approach. However, TDMA based approach incurs bandwidth wastages. To utilize bandwidth more efficiently cognitive radio (CR) technique is adopted for designing efficient MAC. However, the existing CR model incurs computation overhead and is not evaluated under different environmental condition such as rural, highway and urban (RHU). To overcome research challenges, this work present efficient decentralized distributed MAC (DMAC) that minimize collision and maximize throughput. Experiment are conducted to evaluate the performance of DMAC over state-of-art model in terms of throughput, success transmission and collision achieved. The outcome shows significant performance over state-of-model.