bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Physical Activities Recommendation Methodology for Blood Glucose Level Regulation
Authors: Kulev Igor , Koceski Saso , Vlahu-Gjorgievska Elena , Trajkovi Vladimir
Published: April 2019

Providing patients with convenient health facilities at a low cost has always been a great challenge for health service providers. Moreover, the fast changing life style of the modern world and the problem of aging society pose an urgent need to modernize such facilities. The emphasis has to be paid on  providing  health  monitoring in out-of-hospital conditions for elderly people and patients who require regular supervision, particularly in remote areas. This paper presents a recommendation algorithm, which incorporates collaboration and classification techniques in order to generate recommendations and suggestions for the physical activities that the users should carry out in order to improve their health. The algorithm has been evaluated using generic data and considering the daily food intake. The results of the experimental evaluation show that the algorithm is robust and could suggest the physical activities that might compensate the influence of the food intake over the blood glucose level.
Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System
Authors: Darwin Norhadija , Ahmad Anuar
Published: April 2019

The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.
Characteristics in Classification of Information Use (IU)
Authors: Albarda Albarda
Published: April 2019

Conventionally, information quality or IQ used in most researches and also in practice as dimensions of characteristics which inherent in valuable information. IQ is characteristic measures based on information production processes. As a result, it may not be a valuable for its users and even for enterprise value. Our approach is to define a new information characteristic based on process of information consumption or usage, called IU as complement to IQ. The characteristics in IU consists of two dimensions ie: (i) conformity on repackaging and (ii) originality on exchange information for users. Parameters for this dimensions acquired using features extraction from IU process in each layer of enterprise management. The paper also describes how to apply the new characteristics practically to provide a higher information values for enterprise.
EPPS Test Application Development for Selecting Students to Participate in Cooperative Program on Small and Medium Enterprise
Authors: Amelia Tan , Sagirani Tri , Indriyanti Rr. Dewintha
Published: April 2019

Cooperative Education (CO-OP) is a program that aims to sharpen its participants’ entrepreneurship action and spirit. In order to select the students to participate in this program, STMIK STIKOM of Surabaya uses EPPS psychological test which can measure the achievement, deference, autonomy, affiliation, nurturance, and endurance of CO-OP participant. The used of EPPS psychological test is based on the reason that this test is one of the personality tests prepared to measure the power of someone’s need. By the existence of EPS application in selecting CO-OP participant, a proper result’s validity is expected to be reached.
Qualitative and Quantitative Modeling of the Artificial Citizens using Genetic Methods
Authors: Salman Muhammad , Klair Hajra
Published: April 2019

Human Development Index is a key indicator of a country’s development as formulated by the United Nation. It determines a country’s progress in three main areas: Life Expectancy, Education and Income. A number of researches have been made for the understanding of how the different factors that together make up the Human development Index are correlated and to what extent each of them affects the HDI value. However, there are always certain unpredictable events that directly or indirectly affect the Human Development Index. Our project aims to incorporate the interdependencies between different factors of the HDI with the simulation of random events in an artificial population to establish the HDI value. This value is future forecasting as the HDI value output would be based upon the input values given by the user, including a certain number of years after which HDI is to be determined. The user would also have other options available to him which he can use to determine the HDI value. That is, after changing the values of various different factors upon which HDI depends by his own choice, the user can effectively study different elements affecting HDI. This can prove to be a great convenience in policy making.
 Genetic Algorithm is a technique that mimics the process of natural evolution. The essence of Genetic Algorithm is being employed in this system to generate artificial agents for Pakistan’s entire population. This population (represented as chromosomes of bit strings) would then undergo various genetic operations like fitness evaluation, cross-over and mutation. Then after certain generations of the initial population have evolved after a specific number of years as input by the user, the Human Development Index value would be calculated. This value would be determined from the statistical analysis of the population. This analysis has been encoded in the system and is result of extensive study of various research articles and books that facilitate in understanding how socio-economic parameters affect each other and the HDI.
Demonstration of Multi Pump Wide Gain Raman Amplifiers for Maximization of Repeaters Distance in Optical Communication Systems
Authors: Rashed Ahmed Zaki
Published: April 2019

Fiber Raman amplifiers in ultra wide wavelength division multiplexing (UW-WDM) systems have recently received much more attention because of their greatly extended bandwidth and distributed amplification with the installed fiber as gain medium. It has been shown that the bandwidth of the amplifier can be further increased and gain spectrum can be tailored by using pumping with multiple wavelengths. Wide gain of the amplifier is considered where two sets of pumps NR {5,10} are investigated. The gain coefficient is cast under polynomial forms. The pumping wavelength lR is over the range 1.40 £ lR, mm £ 1.44 and the channel wavelength ls is over the range 1.45 £ ls, mm £ 1.65. Two multiplexing techniques are processed in long-haul transmission cables where number of channels is up to 10000 in ultra-wide wavelength division multiplexing (UW-WDM) with number of links up to 480. The problem is investigated over wide ranges of affecting sets of parameters.
Performance Evaluation of Broad Band CDMA Signal Using Beam Forming Antenna Technology for Next Generation Communications
Authors: Sheikh Javaid A
Published: April 2019

In order to accommodate various multimedia services, next generation wireless networks are characterized by very high transmission rates. Thus, in such systems and networks, the received signal is not only limited by noise like Additive White Gaussian noise (AWGN) but especially with increasing data transmission rate by the Intersymbol Symbol Interference (ISI) due to time dispersion of channel. A number of techniques such as rake receiver in CDMA systems and equalizers in GSM systems have been proposed to combat the effect of fading so as to improve the performance of wireless communication network.  In this paper we evolve the performance of uncoded uplink transmission in broadband CDMA using beam forming technique under multipath conditions. The beam-former has been implemented using Transport Delay Line (TDL) filters.  An expression for the optimal weights of a TDL based beam former has been derived.  A carrier frequency of 2 Ghz has been used in this work as they are useful for next generation wireless systems.  Simulation results show that TDL beamformer can reduce the multipath fading and Multiple Access Interferance (MAI). It has been shown that if SNR (related with Variance of the channel) is maintained at 10 db and if a 3 ray based beamformer having 3 antennas with 3 taps is used, the Error Rate of 0.1was found without using channel coding.
Circularly Polarized Rectangular Microstrip Patch Antenna with Finite Ground Plane
Authors: Rawat Sanyog , Sharma Kamlesh Kumar
Published: April 2019

In this paper a new geometry of patch antenna is proposed with improved bandwidth and circular polarization. The radiation performance of circularly polarized rectangular patch antenna is investigated by applying IE3D simulation software and its performance is compared with that of conventional rectangular patch antenna. Finite Ground truncation technique is used to obtain the desired results. The simulated return loss, axial ratio and smith chart with frequency for the proposed antenna is reported in this paper. It is shown that by selecting suitable ground-plane dimensions, air gap and location of the slits, the impedance bandwidth can be enhanced upto 10.15 % as compared to conventional rectangular patch (4.24%) with an axial ratio bandwidth of 4.05%.

 

 
Mitigating the Effects of Intereference in a Multipath Prone Environment for a DVB-T Transmission
Authors: Alabi Oluwaseun Yinka , Kolawole Michael
Published: April 2019

This paper develops a novel simulation method that seeks to mitigate the effects of interference in a multipath prone environment for a DVB-T transmission by using the AWGN and the Multipath Rayleigh Fading Channel. The channel parameters were optimized until desired result was obtained. The reception performance of the DVB-T system shows that interference though not totally eliminated, can be minimized while transmitting in a multipath prone environment.
Performance Measurement for “Es Puter Bang Karim” Use Supply Chain Operation Reference
Authors: Kusmindari Christofora Desi
Published: April 2019

“Es puter Bang Karim “ is the one company that produces ice cream in the city of Palembang . This company does not have a good performance measurement . Performance measurement systems in use today are not able to measure the actual value of the company's performance , because the valuation is only based on the perspective of the production output . supply chain operations reference is one of the performance measurement tool used to streamline material and machinery . Supply chain operations reference is considered more complete , systematic and more integrated . The purpose of this study was to determine the value of the performance of companies using supply chain operations reference . Results of this experiment showed that the value of the highest performance occurred in June with a value indicator ( 60.3 ) and lowest values in April with a value of ( 58.2 ) so that the average indicator 59.3 . This value includes the category average performance indicators . Need to improve performance in order to better index future.
MOCA - Malaysia Online Coding Academy
Authors: Abdullah Muaz
Published: April 2019

Programmer is one of the hottest jobs nowadays. The need of competent programmer is increasing. But the gap between expected skillful software engineer and IT graduate skills is too big. This paper is discussing how an online integrated portal can help producing good software engineers with high programming skill and matching their competencies with job opportunity.
Prediction of the Next Question for the Question Answering System
Authors: Breja Manvi
Published: April 2019

User profiling, one of the main issue faced while implementing the efficient question answering system, in which the user profile is made, containing the data posed by the user, capturing their domain of interest. The paper presents the method of predicting the next related questions to the first initial question provided by the user to the question answering search engine. A novel approach of the association rule mining is highlighted in which the information is extracted from the log of the previously submitted questions to the question answering search engine, using algorithms for mining association rules and predicts the set of next questions that the user will provide to the system in the next session. Using this approach, the question answering system keeps the relevant answers of the next questions in the repository for providing a speedy response to the user and thus increasing the efficiency of the system.
Monitoring Biosensors and Obtaining Data Using GSM Module
Authors: RM Hemavathy
Published: April 2019

The main focus of the project is to prevent the loss of human life against the discomfort and death caused by the lack of attention towards the patients due to the improper monitoring systems provided in the hospital. The aim of the project is to monitor the bio sensors attached to the persons in their body either internally or externally. The biosensors which are about to be used in this project are EEG sensor (electro encephalogram sensor). An ECG sensor (electro cardiogram sensor) which is very essential for a critical patient, this project also emphasizes on the extended design of a special type of sensor called the oxygen insensitive microscale biosensor which helps in the monitoring of constant oxygen supply in blood thereby detecting blood cancer at the earliest stage. The data from all the sensors are sent to a central wireless node through wifi. From the main node the data is sent to the control station of the hospital through zigbee as the coverage area of certain hospitals is more than the coverage area of a Bluetooth. The control station segregates the data of different patients and stores in the memory location. If any of the patient data exceeds the standard data fed to the control station by the doctor then a message will be sent to the mobile of the attendee and the doctor using the GSM control system.

Keywords: Biosensors, Raspberry pi (controller), GSM, Zigbee

 
Comparison of the Resonant Frequency Determination of a Microstrip Patch Antenna using ANN and Analytical Methods
Authors: Aguni Lahcen , Chabaa Samira , Ibnyaich Saida , Zeroual Abdelouhab
Published: April 2019

In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity with a good accuracy.
Detection & Classification of Cardiac Arrhythmia
Authors: Jadhav Chetan M. , Bairagi V. K.
Published: April 2019

The term Arrhythmia refers to any change from the normal sequence in the electrical impulses. It is also treated as abnormal heart rhythms or irregular heartbeats. The rate of growth of Cardiac Arrhythmia disease is very high & its effects can be observed in any age group in society. Arrhythmia detection can be done in many ways but effective & simple method for detection & diagnosis of  Cardiac Arrhythmia is by doing analysis of Electrocardiogram signals from ECG sensors. ECG signal can give us the detail information of heart activities, so we can use ECG signals to detect the rhythm & behaviour of heart beats resulting into detection & diagnosis of Cardiac Arrhythmia. In this paper new & improved methodology for early Detection & Classification of Cardiac Arrhythmia has been proposed. In this paper ECG signals are captured using ECG sensors & this ECG signals are used & processed to get the required data regarding heart beats of the human being & then proposed methodology applies for Detection & Classification of Cardiac Arrhythmia. Detection of Cardiac Arrhythmia using ECG signals allows us for easy & reliable way with low cost solution to diagnose Arrhythmia in its prior early stage.
A Markov Decision Model for Area Coverage in Autonomous Demining Robot
Authors: Larach Abdelhadi , Daoui Cherki , Baslam Mohamed
Published: April 2019

A review of literature shows that there is a variety of works studying coverage path planning in several autonomous robotic applications. In this work, we propose a new approach using Markov Decision Process to plan an optimum path to reach the general goal of exploring an unknown environment containing buried mines. This approach, called Goals to Goals Area Coverage on-line Algorithm, is based on a decomposition of the state space into smaller regions whose states are considered as goals with the same reward value, the reward value is decremented from one region to another according to the desired search mode. The numerical simulations show that our approach is promising for minimizing the necessary cost-energy to cover the entire area.
Improving Performance of Mobile Ad Hoc Network Using Clustering Schemes
Authors: Er-Rouidi Mohamed , Moudni Houda , Faouzi Hassan , Mouncif Hicham , Merbouha Abdelkrim
Published: April 2019

Mobile ad hoc network become nowadays more and more used in different domains, due to its flexibility and low cost of deployment. However, this kind of network still suffering from several problems as the lack of resources. Many solutions are proposed to face these problems, among these solutions there is the clustering approach. This approach tries to partition the network into a virtual group. It is considered as a primordial solution that aims to enhance the performance of the total network, and makes it possible to guarantee basic levels of system performance. In this paper, we study some schemes of clustering such as Dominating-Set-based clustering, Energy-efficient clustering, Low-maintenance clustering, Load-balancing clustering, and Combined-metrics based clustering.
Energy Optimization of Routing Protocols in Wireless Sensor Networks
Authors: Es-sabery Fatima , Ouchitachen Hicham , Hair Abdellatif
Published: April 2019

The hierarchical routing of data in WSNs is a specific class of routing protocols it encompasses solutions that take a restructuring of the physical network in a logical hierarchy system for the optimization of the consum-ption of energy. Several hierarchical routing solutions proposed, namely: the protocol LEACH (Low Energy Adaptive Clustering Hierarchy) consist of dividing the network in distributed clusters at one pop in order of faster data delivery and PEGASIS protocol (Power-Efficient Gathering in Sensor Information Systems) which uses the principle of constructing a chain’s sensor node. Our contribution consists of a hierarchical routing protocol, which is the minimization of the energy consumption by reducing the transmission distance of data and reducing the data delivery time. Our solution combines the two hierarchical routing approaches: chain based approach and the cluster based approach. Our approach allows for multi-hop communications, intra- and intercluster, and a collaborative aggregation of data in each Cluster, and a collaborative aggregation of data at each sensor node.
Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887
Authors: Jahlool Jabbar Shaati
Published: April 2019

In this research, the design and simulation of an automatic system for temperature control using embedded system in order to automatically control of multi appliances depend on the temperature value. The appliances will be controlled are ventilation, cooling, heating and alert. this is an order to avoid or reduce to human intervention and increase system reliability. An important feature of this automation process is to reduce or eliminate the possibility of relying on the human factor operator for industries, warehouses and laboratories, and to improve working and performance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit, LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display the different system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators to display the corresponding working appliance driver. The implementation and simulation of the system work has been achieved by using proteus professional software v8.0 and mikroc pro for pic v .6.6.1 software to write the equivalent program and generate .hex file for system working. The result shows in figures 5, 6, 7, and 8 that explain the system working cases
Driver Drowsiness Detection System Using Sensors
Authors: Kumari B.M Kusuma , Sethi Sampada , Kumar P Ramakanth , Kumar Nishant , Shankar Atulit
Published: April 2019

A low-cost and simple distributed sensors model that is particularly suitable for measuring eye blink of the driver, accident and hand position on a steering wheel. These sensors can be used in automotive active safety systems that aim at detecting driver’s fatigue, a major issue to prevent road accidents. The key point of this approach is to design a prototype of sensor units, so that it can serve as platform for integrating different kinds of sensors into the steering wheel. Since the sensors are attached to the steering wheel, therefore they can’t be detached by the driver. It will also detect dangerous stylish driving which may lead to fatal accidents. The major drawback is that the eye blink sensors frame worn by the driver can be removed causing the sensor non-operational. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver shuts his eyes for approximately 3 seconds and also the LCD displays the respective warning message. The wheel is slowed or stopped depending on the condition. This is accompanied by the vehicle’s owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and a list of nearby police stations through an android mobile application. Therefore, driver can be alerted during drowsiness and the owner can be notified simultaneously.
Markovian Segmentation of Brain Tumor MRI Images
Authors: Ameur Meryem , Daoui Cherki , Idrissi Najlae
Published: April 2019

Image segmentation is a fundamental operation in image processing, which consists to di-vide an image in the homogeneous region for helping a human to analyse image, to diagnose a disease and take the decision. In this work, we present a comparative study between two iterative estimator algorithms such as EM (Expectation-Maximization) and ICE (Iterative Conditional Estimation) according to the complexity, the PSNR index, the SSIM index, the error rate and the convergence. These algorithms are used to segment brain tumor Magnetic Resonance Imaging (MRI) images, under Hidden Markov Chain with Indepedant Noise (HMC-IN). We apply a final Bayesian decision criteria MPM (Marginal Posteriori Mode) to estimate a final configuration of the resulted image X. The experimental results show that ICE and EM give the same results in term of the quality PSNR index, SSIM index and error rate, but ICE converges to a solution faster than EM. Then, ICE is more complex than EM.
Density Based Clustering with Integrated One-Class SVM for Noise Reduction
Authors: Ahmed K. Nafees , Razak T. Abdul
Published: April 2019

Information extraction from data is one of the key necessities for data analysis. Unsupervised nature of data leads to complex computational methods for analysis. This paper presents a density based spatial clustering technique integrated with one-class Support Vector Machine (SVM), a machine learning technique for noise reduction, a modified variant of DBSCAN called Noise Reduced DBSCAN (NRDBSCAN). Analysis of DBSCAN exhibits its major requirement of accurate thresholds, absence of which yields suboptimal results. However, identifying accurate threshold settings is unattainable. Noise is one of the major side-effects of the threshold gap. The proposed work reduces noise by integrating a machine learning classifier into the operation structure of DBSCAN. The Experimental results indicate high homogeneity levels in the clustering process.
Improve Security of Cloud Storage by Using Third Parity Authentication, One Time Password and Modified AES Encryption Algorithm
Authors: Abdulatif Firas A. , Zuhiar Maan
Published: April 2019

Cloud computing is a new term to provide application and hardware as service over the internet. Demand for cloud has increased dramatically in recent years. However, a major drawback for cloud adoption is lack of security so that we will try to solve some security issues related to cloud storage by design and implement a secure system to store privet data in cloud storage. This secure system provide secure login to cloud by using third parity authentication (smart phone) and one time password depend on chaotic system to prevent unauthorized people from get access to cloud and modified AES algorithms to encrypt the data in the cloud storage.
A Proposed DDS Enabled Model for Data Warehouses with Real Time Updates
Authors: Trivedi Munesh Chandra , Yadav Virendra Kumar , Gupta Avadhesh Kumar
Published: April 2019

Data warehouse generally contains both types of data i.e. historical & current data from various data sources. Data warehouse in world of computing can be defined as system created for analysis and reporting of these both types of data. These analysis report is then used by an organization to make decisions which helps them in their growth. Construction of data warehouse appears to be simple, collection of data from data sources into one place (after extraction, transform and loading). But construction involves several issues such as inconsistent data, logic conflicts, user acceptance, cost, quality, security, stake holder’s contradictions, REST alignment etc. These issues need to be overcome otherwise will lead to unfortunate consequences affecting the organization growth. Proposed model tries to solve these issues such as REST alignment, stake holder’s contradiction etc. by involving experts of various domains such as technical, analytical, decision makers, management representatives etc. during initialization phase to better understand the requirements and mapping these requirements to data sources during design phase of data warehouse.
An Optimum Approach for Preprocessing of Web User Query
Authors: Sharma Sunny , Sunita Sunita , Kumar Arjun , Rana Vijay
Published: April 2019

The emergence of the Web technology generated a massive amount of raw data by enabling Internet users to post their opinions, comments, and reviews on the web. To extract useful information from this raw data can be a very challenging task. Search engines play a critical role in these circumstances. User queries are becoming main issues for the search engines. Therefore a preprocessing operation is essential. In this paper, we present a framework for natural language preprocessing for efficient data retrieval and some of the required processing for effective retrieval such as elongated word handling, stop word removal, stemming, etc. This manuscript starts by building a manually annotated dataset and then takes the reader through the detailed steps of process. Experiments are conducted for special stages of this process to examine the accuracy of the system.
Microstrip Antenna with Photographic Paper Substrate for WLAN
Authors: Marotkar D. S. , L Zade P.
Published: April 2019

In this paper a compact, flexible, Multiband antenna is designed. It is having flexible Substrate of photographic paper which makes the antenna conformal. The antenna with two U slots cut in radiating patch is offset fed by microstrip lines gives the multiple bands of WLAN /WIMAX Application and two parasitic Elements improves the bandwidth of a typical microstrip antenna. The Measured results shows that the antenna resonates between Frequency band 2.10-2.95 GHz, 3.35-3.54 GHz and 5.04-6.0Hz.which are used for application such as Bluetooth, Wi-Fi, Zigbee, ISM 2.4GHz,WLAN WiMAX, and WLAN 5.2GHz.
Brain Tumor Detection Using Wathershed Segmentation Techniques and Area Calculation
Authors: Pareek Meenakshi , Jha CK , Mukherjee Saurabh , Joshi Chandani
Published: April 2019

This paper primarily focuses on to employ a novel approach to classify the brain tumor and its area. The Tumor is an uncontrolled enlargement of tissues in any portion of the human body. Tumors are of several types and have some different characteristics. According to their characteristics some of them are avoidable and some are unavoidable. Brain tumor is serious and life threatening issues now days, because of today’s hectic lifestyle. Medical imaging play important role to diagnose brain tumor .In this study an automated system has been proposed to detect and calculate the area of tumor. For proposed system the experiment carried out with 150 T1 weighted MRI images. The edge based segmentation, watershed segmentation has applied for tumor, and watershed segmentation has used to extract abnormal cells from the normal cells to get the tumor identification of involved and noninvolved areas so that the radiologist differentiate the affected area. The experiment result shows tumor extraction and area of tumor find the weather it is benign and malignant.
Evaluation of Water Content in Milk Using Microwave Transmission Approach with Horn Antenna
Authors: Ja Ashok. , Patil Kiran
Published: April 2019

As the diary industries delivery the milk to consumer bottles in pouches the thickness of the milk is varied with each company. The microwave transmission line approach with horn antenna is introduced as an effective method for the assessment of milk for the first time with different frequency. The electrical permittivity is an intrinsic parameter of a material that can be used as an index of delivered water content. For the permittivity calculation, we use horn antenna transmitter and receiver in microwave frequency .The microwave travelled via the milk according to its thickness. A design of horn antenna and its minimum distance transmission length is followed to evaluate the thickness of milk. The dissipated power is calculated with the help of VSWR meter in decibel. The results are plotted with different microwave frequency with unique wave length with unique concentration of water with milk. Mat lab is used to plot the graph. The effects exhibit that the milk thickness makes the wave travel of microwave produces the decibel value changes at the output. The measurements demonstrate that the permittivity of milk increases with increased added water. A relationship between the added water content and the permittivity of milk -water mixture is established, which should be a powerful tool for detecting milk thickness.
Angular Symmetric Axis Constellation Model for Off-line Odia Handwritten Characters Recognition
Authors: Jena Pyari Mohan , Nayak Soumya Ranjan
Published: April 2019

Optical character recognition is one of the emerging research topics in the field of image processing, and it has extensive area of application in pattern recognition. Odia handwritten script is the most research concern area because it has eldest and most likable language in the state of odisha, India. Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form. In this regard several recognition technique have been evolved for variance kind of languages but writing pattern of odia character is just like as curve appearance; Hence it is more difficult for recognition. In this article we have presented the novel approach for Odia character recognition based on the different angle based symmetric axis feature extraction technique which gives high accuracy of recognition pattern. This empirical model generates a unique angle based boundary points on every skeletonised character images. These points are interconnected with each other in order to extract row and column symmetry axis. We extracted feature matrix having mean distance of row, mean angle of row, mean distance of column and mean angle of column from centre of the image to midpoint of the symmetric axis respectively. The system uses a 10 fold validation to the random forest (RF) classifier and SVM for feature matrix. We have considered the standard database on 200 images having each of 47 Odia character and 10 Odia numeric for simulation. As we have noted outcome of simulation of SVM and RF yields 96.3% and 98.2% accuracy rate on NIT Rourkela Odia character database and 88.9% and 93.6% from ISI Kolkata Odia numerical database.
Detection and Separation of Eeg Artifacts Using Wavelet Transform
Authors: Kumar R. Suresh , Manimegalai P.
Published: April 2019

Bio-medical signal processing is one of the most important techniques of multichannel sensor network and it has a substantial concentration in medical application. However, the real-time and recorded signals in multisensory instruments contains different and huge amount of noise, and great work has been completed in developing most favorable structures for estimating the signal source from the noisy signal in multichannel observations. Methods have been developed to obtain the optimal linear estimation of the output signal through the Wide-Sense-Stationary (WSS) process with the help of time-invariant filters. In this process, the input signal and the noise signal are assumed to achieve the linear output signal. During the process, the non-stationary signals arise in the bio-medical signal processing in addition to it there is no effective structure to deal with them. Wavelets transform has been proved to be the efficient tool for handling the non-stationary signals, but wavelet provide any possible way to approach multichannel signal processing. Based on the basic structure of linear estimation of non-stationary multichannel data and statistical models of spatial signal coherence acquire through the wavelet transform in multichannel estimation. The above methods can be used for Electroencephalography (EEG) signal denoising through the original signal and then implement the noise reduction technique to evaluate their performance such as SNR, MSE and computation time.
The Computational fluid dynamics Performance Analysis of Horizontal Axis Wind Turbine
Authors: Mezaal Naji Abdullah , K. V. Osintsev , S.V. Alyukov
Published: April 2019

Computational fluid dynamics (CFD) simulations were performed in the present study using ANSYS Fluent 18.0, a commercially available CFD package, to characterize the behaviour of the new HAWT. Static three-dimensional CFD simulations were conducted. The static torque characteristics of the turbine and the simplicity of design highlight its suitability for the GE 1.5xle turbine. The major factor for generating the power through the HAWT is the velocity of air and the position of the blade angle in the HAWT blade assembly. The study presents the effect of The blade is 43.2 meters long and starts with a cylindrical shape at the root and then transitions to the airfoils S818, S825 and S826 for the root, body and tip, respectively. This blade also has pitch to vary as a function of radius, giving it a twist and the pitch angle at the blade tip is 4 degrees. This blade was created to be similar in size to a GE 1.5xle turbine by Cornell University [1]. In addition, note that to represent the blade being connected to a hub, the blade root is offset from the axis of rotation by 1 meter. The hub is not included in our model. The experimental analysis of GE 1.5xle turbine, so that possible the result of CFD analysis can be compared with theoretical calculations. CFD workbench of ANSYS is used to carry out the virtue simulation and testing. The software generated test results are validated through the experimental readings. Through this obtainable result will be in the means of maximum constant power generation from HAWT.
The effect of short circuit fault on one winding to other windings in FRA
Authors: Yasid N. F. M. , Yousof M. F. M. , Rahman R. Abd. , Zainuddin H. , Ghani S. A.
Published: April 2019

Monitoring and diagnosis of power transformer in power systems have been examined and debated significantly in last few decades. Recently, more researchers have expressed their interest in these issues as the utilities and network operators operating under a rising cost-effecting pressure. Especially, in studying to monitor winding faults which is found to be the most common fault within transformers. This paper addresses the issue of the effect of inter-windings short circuit fault in a Dyn11 connected transformer. The specific aim is to study the effect of fault at winding of other phases to the response of measured phase. Frequency Response Analysis (FRA) which is discovered to be a powerful and sensitive method to examine and evaluate the condition, including the mechanical reliability of the transformer windings is used.
Proposal of a dynamic numerical approach in predicting flashover critical voltage
Authors: Salem Ali. A. , Abd-Rahman R. , Kamarudin M. S. , Ahmad H. , Jamail N.A.M. , Othman N.A. , Ishak M.T. , Baharom M.N.R. , Al-Ameri S.
Published: April 2019

Glass insulators, due to its diverse characteristics, were used widely around the world for high voltage transmission lines. Surfaces of the insulators are exposed to high electrical, mechanical, and thermal stresses over the period of service. Accumulation of contamination distort stresses distribution along the insulators that may lead to flashover under severe condition. In this paper, Obenaus pollution model has been adopted to propose a dynamic mathematical modelling to determine flashover critical voltage with regard to parameters such as pollution conductivity, arc length, and width of layer of contamination on the surface of glass insulator. In addition, laboratory experimental works have been carried out according to IEC60305 to validate the results from numerical approach, which indicate a good agreement.
Infant’s Growth and Development at the Age of 6-12 Months Based on Breasfeeding
Authors: Ara Maida Ayu , Sudaryati Etty , Lubis Zulhaida
Published: April 2019

Infancy is a golden and critical period in the cycle of life. In this period, an infant that is not provided with exclusive breastfeeding has 14 times higher risk to death compared with an infant that is provided with exclusive breastfeeding. Malnutrition in the first year causes reduced brain cells up to 15-20% which leads to impaired growth and development of infant. Exclusive breastfeeding can fulfill the need for nutrients within the first 6 months of life. The objective of this study was to analyze the difference in growth and development of infants at the age of 6-12 months based on breastfeeding in the working area of Puskesmas Perawatan Ngkeran, Aceh Tenggara Regency. This is used comparative analytical resaerch with cross sectional design. The sample was 124 infants consisting of 62 infants with exclusive breastfeeding and 62 non exclusive breastfeeding, taken by purposive sampling. The data were collected by using questionnaires through interviews, measurement and observation. They were analyzed using chi square and logistic regression testing for confounding check. The results showed that there was a significant difference in growth and development of infants based on breastfeeding (p value=0.000) with prevalence ratio (PR)=4.167 (95%CI: 1.867-9.301), which indicated that the infant who did not get exclusive breastfeeding had 4.167 times higher risk to experience bad growth and development. Based on the examination of confounding variable found that food supplementation was the variable with the risk that influences infant’s growth and development. Mothers are expected to practice exclusive breastfeeding, health practitioners are suggested to conduct more counseling of exclusive breastfeeding for pregnant mothers, to have early breastfeeding initiation, to create supporting groups of exclusive breastfeeding and to issue health policy of exclusive breastfeeding.
Health Promotion Model "Extracurricular" Approach of Reproductive Health among Early Adolescents
Authors: Hastuti Lidia , Wuriani Wuriani , Lestari Lilis , Makmuriana Lestari , Hidayah Hidayah
Published: April 2019

The behavior to maintenance of reproductive organs, and self-adjustment on changes during puberty become its own problems on early adolescence (10-14 years old). True knowledge can improve reproductive health and prevent of free sex behavior end up with unsafe abortion even death in adolescence. School has a major role in shaping positive attitudes in children towards reproductive health at puberty. It is important to find and develop a program of reproductive health school-based in the form of "extracurricular" health reproductive in early adolescence (10-14 years old) not existed in Indonesia up to now. To find and design a model school-based health promotion programs in the form of "extracurricular" reproductive health that can be applied to the early adolescence in school. Qualitative research with a phenomenology approach, to explore models of reproductive health promotion programs in the early adolescence. The mining data was qualitative of focus group discussion (FGD) and in-depth interview. Participants in this research were 36 people of purposive sampling technique into account maximum variation sampling, and data analyze used the thematic analysis. The study results found a reproductive health promotion model school-base with extracurricular approach of reproductive health. The program is carried out outside school hours learning activities on reproductive health, with a study of the self-development, social, physical, sexual violence and the prevention of sexually transmitted infections. Program applied by using approach method and innovative media balance to age of adolescent’s development and involve health workers, teachers and parents.
Risk Quotient of Airborne Paraquat Exposure among Workers in Palm Oil Plantation
Authors: Maksuk Maksuk , Malaka Tan , Suheryanto Suheryanto , Umayah Abu
Published: April 2019

Paraquat is the herbicide widely used at palm oil plantations, although usage it in some countries has been banned and restricted. Paraquat spraying was not appropriate procedure could be polluted the environment and lead to health disorders workers. Paraquat could enter the body through inhalation, dermal and ingestion, one of frequent routes through inhalation during spraying weeds in plantation areas. This study aimed was to analyze potential inhalation dose and Risk Quotient to workers at palm oil plantation. This research was a descriptive study with cross sectional design and analysis of environmental health risk methods. Airborne Paraquat residue was collected from 8 workers with occupational activity as a supervisor and sprayer. Airborne Paraquat residue was measured for 25 minutes during spraying by using personal air sampler at worker’s breathing zone. Airborne Paraquat residue was detected by High Performance Liquid Chromatography (HPLC) with NIOSH 5003 methods. The average of airborne Paraquat residue was 0.0125 mg/m3, it values was less than the Threshold Limit Value (0.05 mg/m3) of American Conference of Government Industrial Hygienists, but the average of potential inhalation dose was 0.001 mg/kg/day for worker’s weight 55 kg, it was value higher than Acceptable Operator Exposure Limit (0.0005 mg/kg/day) and the calculation of Risk Quotient (RQ) was more than 1, it conditions was unacceptable for workers. Although, airborne Paraquat residue were safe, but potential inhalation dose and Risk Quotient (RQ) were unsafe for workers, cause it can be lead to lung function disorders. Therefore, for further studies it was necessary to assess the lung function of workers and the use of personal protective equipment must be completely and standard.
The Effect of Tender Coconut Water on Free Radical Due to Mercury Exposure
Authors: Zulaikhah Siti Thomas , Wibowo Joko Wahyu
Published: April 2019

Mercury pollution can results from gold mining. Furthermore, a continuous mercury exposure can trigger the formation of Reactive Oxygen Species (ROS) and interfere with the body's antioxidant metabolism. A high level of free radicals in the body can be characterized by a low level of an antioxidant enzyme. Prevention to avoid the impacts of mercury poisoning is better than treatment. Tender coconut water can eliminate ROS and improve antioxidant status. This study aimed to was to confirm that tender coconut water is able to decrease the free radical which is characterized by increased antioxidant enzyme GPx status. This study was designed as randomized pre- and posttest control group design, 40 traditional gold mining workers devided into 2 groups: the control and treatment groups. After the pre test of GPx level, the workers were either given tender coconut water at the dose of 450 m L or water for 4 weeks every day. Four weeks after the pre-test, the level of GPx was assessed in the laboratory PAU-Gajahmada University. The post test results of the control group and treatments group were compared and analyzed using Man Whitney test. The mean levels of GPx post-test in the control group and treated group were 63.5±1.1 U/mL and 79.9±8.8 U/mL respectively. The analysis result obtained p-value 0.000 <0.05. Tender coconut water has an effect on free radicals due to to mercury exposure. Tender coconut water can be consumed daily to prevent degenerative diseases caused by mercury exposure.