bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Evaluation of Energy Saving Task Scheduling (ESTS) in Cloud Computing
Authors: Kalyana Sundaram N , S.P.Rajagopalan Dr
Published: April 2019

Cloud Computing provides services, on-demand access, infrastructure, storage of data and application.  It possesses the reliability, availability and the scalability. One of the issues in cloud computing is Energy Saving. In this paper, the proposed work is Energy Saving Task Scheduling (ESTS) methodology. The aim of this methodology is to show the performance comparison of all the task scheduling types. Task scheduling or Job scheduling is referred to as policies that control the work order to be performed by a computer system. Types of Task Scheduling are Shortest Job First (SJF), First Come First Serve (FCFS), Round Robin (RR) and Priority Scheduling. In each type of schedule, the processes used by the parameters were calculated. Finally, the performance comparison is made in scheduling algorithms and shows better results. This method is implemented in net beans toolkit.
Workflow Signatures for Business Process
Authors: E.Kamalanaban Dr , Gopinath M , Nandhu M
Published: April 2019

Workflow signatures are accustomed hold unity of information in which it supports the rational and the order of relationships like AND-join and AND-split, of advancement. Advancement signatures are Digital firm for verifying and proving of business development across some dominant needs. The signing keys are sensible to permit approvals to hold out tasks. Since the signature keys are issued on-the-fly, permission to hold out employment within a work flow will be composed and given energetic at runtime. This paper provides true advancement signature technique, rely on hierarchical unity-placed cryptography, to encounter safety measures by structure workflows. A multi-level validation of data is completed using multi signature binding on each and every message. This can produce an extremely secure and competitive strength to the system. In this paper, an option for the users to generate the key is provided and if the user loses his digital signature, it is providing annotation of recovering the digital signature. Digital signature generated based on identity based signature scheme using hierarchical information which is one of the challenging schemes. Hierarchical information and control flow is controlled by business process automations which is the key focus of this paper.
Providing a Live Chat on Online Shopping with End-to-End Encryption
Authors: S.K.Manigandan Mr. , R.Latha Mrs. , S.MohamedAsik Mr. , Velmurugan J , Ramya D
Published: April 2019

In our these days life on-line purchase associated e-commerce website   has changing into   an mandatory  things   in  our  daily  life vogue  since,  it conjointly  have  some  major  issue  like  purchasing  a product  with  unhappy  mode  and   lack  of data  in product  usage.  therefore as to  overcome  these  drawback we  have  a tendency to   have new entranceway referred to as   live chat  in on-line looking. We have a tendency to  will  offer    this  live   chat  in  most   safest  method  exploitation   the   end  to  finish cryptography  methodology , most  of  the  looking can  have  a   live  chat however  they Weren’t   provided   a cut price options and most e-commerce website   don’t   have Chat choices.  We have a tendency to will even enable the client and producer to Share their thoughts.
Smart Dumpster Monitoring System
Authors: Premkumar R , K Jayanarayani , J Lavanya , A.G Nirubaa , K Thirupurasundari
Published: April 2019

The project is about smart way of collecting and disposing garbage. A system is designed by automatic opening and closing of the lid when the sensor senses the hand motion. The level of the wastes is measured using sonar sensor and the smell from the waste is detected using gas sensor. In order to avoid the smell, sprayer is placed inside the dustbin which is activated when the signal is sent. There is a motor attached to the lid is used to compress the garbage for further dumping. Once the bin is fully filled the lid is closed automatically and a message is send through GSM. The status of the bin will be displayed as a message outside the bin using LCD display. The problem of overflowing of garbage and the smell will be avoided leading to a good hygienic environment.
Detecting Malicious Users and Remove Rumors from Social Network
Authors: V.Manjula Dr , Shanmuga Priya Mrs. , Divyaprabha V , Jayasurya S
Published: April 2019

Perceiving tattle sources in casual associations expect an essential part in obliging the damage caused by them through the timely disengage of the sources. In any case, the short lived assortment in the topology of casual associations and the advancing dynamic processes challenge our standard source recognizing confirmation strategies that are considered in static frameworks. We diminish the time-varying networks to a movement of static frameworks by introducing a period consolidating window. By then instead of looking at each individual in standard techniques, we grasp a rearrange dispersing framework to demonstrate a game plan of suspects of the certified talk source.
Classification of Liver Patient Dataset Using Machine Learning Algorithms
Authors: Muthuselvan S , Rajapraksh S , Somasundaram K , Karthik K
Published: April 2019

Prediction of the disease in the human being is the very long and difficult process in early days. Now a days, computer aided diagnosis is the important role in the medical industry for predicting, analyzing and storing medical information with the images. In this paper will discuss and classify the liver patients with the help of the liver patient dataset with the help of the machine learning algorithms. WEKA is the software used here for implement the some of the classification algorithms with the data selected from the liver disease dataset. After the successful implementation of the all the algorithms, the best algorithms selected from the output of the all the algorithms execution.
Comparative Design and Analysis of Helical and Wave Spring
Authors: Muralidharan M , Aravinth R , Gafferkhan J , Gandhi R
Published: April 2019

This paper is a comparative between two springs such as helical and wave spring. Wave springs are precise flat wire compression springs that fit into assemblies that other springs cannot. These are used as an alternative spring for helical spring. Wave springs provide 50% reduction in spring height and axial space. They possess the same force and deflection as coil springs. They have reduced material requirements. They provide improved cost reduction. The Wave Spring has been subjected to Compression Test, Modal Analysis and Equivalent Elastic Strain Test and then compared to Helical Spring which again was subjected to the above same tests under the same conditions and parameters. The design of helical spring and wave spring has been done in CREO Parametric 4.0 and analysed in ANSYS R 18.1. The results are then compared.
Design and Fabrication of Garbage Collector on the Beach Using Solar Power
Authors: A Arun. , P Nagasankar , P Amirthalingam , Kumar. .E Barath , G Janarthanan. , AS Magesh
Published: April 2019

Beach sand cleaning is one of the most needed aspects that have to be implemented for clean future.   Even though many organizations are involved in removing the debris the amount of debris keeps on increasing day by day. From the various studies related to this paper, we found that a general awareness is created for the public regarding the environmental pollution and also machines are created with a complication in design and lack of efficiency. So, we have come up with a machine which is capable of collecting the garbage’s from the beach and that too with the simple design. Here the beach sand is cleaned by some mechanical equipment like conveyor, motor, gears which gives a fine outcome of the result. The Solar power is the main source of energy used in this machine. A 50 Watts monocrystalline solar panel is used for better results. The power from panel stores in a 24-volt 14 amps Lithium-Ion battery which then moves on to the motor which runs the conveyor and the machine.
Online Handwritten Gurmukhi Character Recognition using Hybrid Feature Set
Authors: Singh Mandeep , Verma Karun , Gill Bob , Kaur Ramandeep
Published: April 2019

Online handwriting character recognition is gaining attention from the researchers across the world because with the advent of touch based devices, a more natural way of communication is being explored. Stroke based online recognition system is proposed in this paper for a very complex Gurmukhi script. In this effort, recognition for 35 basic characters of Gurmukhi script has been implemented on the dataset of 2019 Gurmukhi samples. For this purpose, 32 stroke classes have been considered. Three types of features have been extracted. Hybrid of these features has been proposed in this paper to train the classification models. For stroke classification, three different classifiers namely, KNN, MLP and SVM are used and compared to evaluate the effectiveness of these models. A very promising “stroke recognition rate” of 94% by KNN, 95.04% by MLP and 95.04% by SVM has been obtained.
New Microstrip Diplexer for Recent Wireless Applications
Authors: S. Mezaal Yaqeen , A. Hashim Seham , H.Al-fatlawi Aqeel , A. Hussein Hussein
Published: April 2019

In this study, dual-channel diplexer using microstrip open loop coupled resonators has been designed and simulated; each channel has two operating band frequencies. This microstrip diplexer is designed for (1.424/1.732GHz) for first channel and (2.014/2.318GHz) for second channel. The simulated results for this device have insertion loss (1.8 and 1 dB) at load 1, and (1.5 and 3 dB) at load 2. Additionally, it has reasonable return loss magnitudes better than 10 dB and effective isolation between channels of35 dB. The proposed design has shown an uncomplicated topology, an effectual design method, small circuit size and narrowband frequency responses that are fitting for multi service wireless schemes.
Early Warning System in Mobile-Based Impacted Areas
Authors: Irvan Moch. Taufiq Rahadian , Cepy Slamet Cepy , Andrian Rian , Aulawi Hilmi , Ali Ramdhani Muhammad
Published: April 2019

Indonesia is a country prone to earthquake for Indonesia is located between three tectonic plates. Some natural disasters of earthquake caused have a big number of victims. This is due to the ineffectiveness of current early warning system since it still uses conventional way. This study is aimed to create a system that can deliver direct information about earthquake to the people of easy-using mediaand provide direction to the nearest evacuation site to them. Method of system design applies prototype development method. The applied system uses Google Maps API as a tool to trace the user’s location and the evacuation site. In addition, the system will use firebase as a tool of notification delivery.
Parameterization of Solar Cell Model Using Multiculture & Hybrid Mutation Based Evolutionary Programming
Authors: N Sridhar , Ramrao Nagaraj , Kumar Singh Manoj
Published: April 2019

In this paper, parameterization of the single diode model for solar cell has presented. The problem of obtaining the optimal parameter has transformed as an optimization problem where individual absolute error has minimized by hybrid mutation strategy in the Evolutionary programming. Hybridization has given between Gaussian mutation strategy and Cauchy mutation strategy to obtain the better offspring. To increase the reliability of the solution, two stages based a multiculture architecture has proposed. On the first stage, a multi-population strategy has applied to form a multiculture environment, where each population evolved independently to explore the solution           domain.This stage will prevent the solution to trap in the local minima. In the second stage, evolved population from first stage combine and members having high fitness are selected to form a new population of the same size as the individual population in the first stage. This second stage population evolved further to meet the final objective. The performance of the proposed method has evaluated over a 57mm diameter commercial solar cell. The obtained performance has compared with results available in current literature where various other approaches like, Levenberg–Marquardt with Simulated annealing, Global Grouping-based Harmony Search, Artificial Bee Swarm Optimization, Chaotic Particle Swarm Optimization, Differential Evolution, etc. have considered. The proposed solution has delivered the minimum error in comparison to other methods and very closer to the experimental data.
IoT System for Detecting Input/Output Patient & Staff via RFID Technology
Authors: Chengaou Sohaib , El Yassini Khalid , Oufaska Kenza , Zouadi Tarik
Published: April 2019

The Internet of Things (IoT) is a concept based on several technologies by connecting them to create a network of networks and a system of systems. It is composed of several and different objects such as Smartphone, Smart Watch, Smart refrigerator, Smart tv, etc. And it can guarantee quick access to information, this has had an enormous influence on the pace of contemporary daily life. It is possible to use IoT in critical areas as health for better management of hospital structures or to improve working conditions and staff performance in the hospital domain. This work proposes a solution allowing an improvement in term of management of inputs and outputs of the employees and patients and thus a better management within a hospital.
A New Digital Solution Helps Automatic Voice Recognition
Authors: ABOULKHIR M , BOUREKKADI S , KHOULJI S , SLIMANI K , L. KERKEB M
Published: April 2019

This scientific work concerning an examination on automatic speech recognition (ASR) frameworks connected with the home automation and to express the importance of this academic work, an itemized investigation of the engineering of speech recognition frameworks was completed. Our goal in Information Systems Engineering Research Group ofAbdelmalekEssaadi University is to choose a speech recognition programming that must work in remote speech conditions and in a rowdy area.The proposed framework is using atoolbox called Kaldi, which must correspond as aclient created by an advanced programming language, with any home automation framework.
Morphological Analysis by Surface Patterns and by Graph
Authors: Said Iazzi , Abdellah Yousfi , Mostafa Bellafkih , Driss Aboutajdine
Published: April 2019

In this article, we propose a comparison between our two morphological analyzers, which we have developed in recent years. The first is based on surface patterns Arabic words, the second is an analyzer which combines Buckwalter approach and the approach of morphological analysis in base graph. The comparison is made on a corpus of 1400 Arabic words that generalize all cases of Arabic derived words. The results obtained show the interest and the advantages of each analyzer.
Caring of Disabilities Deaf Mute Patient with Talking Devices Application Based on Mobile
Authors: Afrian Nuari Nian , Halim Paisal , Badruddin Syamsiah , Maulamin Taufan , Ikhsan Setiawan Muhammad , Widayati Dhina , Sofyana STT Latjuba , Abdullah Dahlan
Published: April 2019

The role of nurses in children with difable is to help in communicating so they can interact with others. Deaf mute requires health care and information on health education.This research focused on an application that facilitates Disabilities Deaf Mute Patient to communicate with other by using a mobile phone. This application based on mobile user by typing letters and it will automatically change into the form of voice (text to speech) that have been arranged into a word so can understood by the other person who use the application. This research helps nurses to communicate by using talking tools application. Development of systems using mobile technology by using Java programming language and talking tool. Results of this study was an application of learning system that helps teachers to communicate with their mute children. The application of mute children will be greatly helped in communicating with the interlocutor.
Analysis of Performance on Circular Patch Antenna Based on Different Feeding Techniques
Authors: Hamidah Abd Hamid Saidatul , Chin Hock Goh , T. Ali M.
Published: April 2019

This paper presents a simulation and analysis of a circular patch antenna with different feeding techniques. The objectives of this analysis are to design the microstrip circular patch antennas using five types of feedings techniques which are stepped feed, inset feed, coaxial feed, aperture coupled feed, and proximity feed, to analyze and compares the performance of the antenna design. Performance characteristics of the antenna such as return loss S11 parameter <-10dB, directivity, gain, bandwidth, side lobe level, beam width, and voltage standing wave ratio (VSWR)  parameters of each of the feeding methods designs are obtained and compared.
Power Optimization in System Level Using Profiling Technique
Authors: S Karthik. , T.S Balaji , S.S Nihitha , Priyadarsini K.
Published: April 2019

Power optimization has become an essential and major source of concern at the system level design. With the shrink in transistor length and the attractiveness of handy electronic devices, power dissipation has become a serious issue. System level power optimization technique gains more popularity since many techniques can be applied in reduction of power. Although, there are numerous techniques to reduce power dissipation, simpler methods has not been implemented on a system level. In this paper we use profiling technique, a process which helps one to know which portion of the function takes more time compared to other during the simulation. The portion which takes large time for simulation is port mapped to the FPGA while the rest is assigned to the processor. By this technique we can see considerable amount of power savings.
On Sαrw-Homeomorphism in Topological Spaces
Authors: M. Ittanagi Basavaraj , V Mohan
Published: April 2019

New class of homeomorphisms named as sαrw-homeomorphism and sαrw*-homeomorphism are explored & elaborated. Few basic properties are inspected. Their relations with some existing homeomorphisms in topological spaces are studied.
Competences of graduation for the curricular redesign of mechanical engineering based on local and national development agendas
Authors: F Viera E , A Paucar M , Reinoso A
Published: April 2019

This article proposes the implementation of CDIO (Conceive, Design, Implement and Operate) in the curricular redesign of the career of Mechanical Engineering. It presents a binding scheme of shared learning between the industry and academia to obtain graduate competencies, as a basis for curricular redesign. A new educational model is designed which allows the transition from know what to know how; interlacing the disciplines that intervene with skills and abilities to solve projects focused on local and national realities. It was defined that of the CDIO, standards 2, 3, 5 and 7 apply. This generates a student-centered curriculum with complementary disciplines, interlaced with inter and intra-personal skills, product manufacturing, processes and systems. This proposal considers specific knowledge, skills, values and attitudes that must be applied in the integral formation of Mechanical Engineers, in order to respond to the socio-productive needs of the country. Finally, the curricular redesign determines the areas of professional academic impact in Design, Energy, Materials and Production Management, taking into account the graduate competences and in a complementary way the learning results of the subjects of the career.
A New Mobile Malware Classification for Audio Exploitation
Authors: Nur Arif Muhamad , Abu Bakar Azreena , Mohd Saudi Madihah
Published: April 2019

Rapid growth and usage of Android smartphones worldwide have attracted many attackers to exploit them. Currently, the attackers used mobile malware to attack victims’ smartphones to steal confidential information such as username and password. The attacks are also motivated based on profit and money. The attacks come in different ways, such as via audio, image, GPS location, SMS and call logs in the smartphones. Hence, this paper presents a new mobile malware classification for audio exploitation. This classification is beneficial as an input or database to detect the mobile malware attacks. System calls and permissions for audio exploitation have been extracted by using static and dynamic analyses using open source tools and freeware in a controlled lab environment. The testing was conducted by using Drebin dataset as the training dataset and 500 anonymous apps from Google Play store as the testing dataset. The experiment results showed that 2% suspicious malicious apps matched with the proposed classification. The finding of this paper can be used as guidance and reference for other researchers with the same interest.
Relationship between the voltage applied to MZM arms and the generation of optical frequency comb
Authors: I. Hammadi Yousif , S. Mansour Tahreer
Published: April 2019

In this study, an optical frequency comb source (OFCS) based on a dual-drive Mach–Zehnder modulator (MZM) is constructed and theoretically demonstrated. A mathematical model of the constructed OFCS is then built to investigate the effect of the peak-to-peak radio frequency (RF) signals applied to the MZM arms on the generated optical frequency comb (OFC) lines at the MZM output. A dual-drive MZM, a continuous wave laser source, and an RF signal source are included in the OFCS. The chirp parameter can be controlled and 64 comb lines generated at a comb spacing of 25 GHz by regulating voltages applied to the MZM arms. The developed OFCS is relatively simple but valuable. The generated OFC lines can be used for high data-rate transmission.
Perceived HR Practices and Intention to Quit of Generation X and Y in Unionize Organization
Authors: Kadiresan Vimala , Kumar Moona Haji Mohamed Ramesh , Ramendran SPR Charles , Nadarajah Shanti , Kakar Samad
Published: April 2019

Hotel industry is one of the important segments that contribute greatly to the world’s economy. The intention of employees to quit is very crucial in any organization especially in the service industry. The importance of this study is to provide some insights on how organizations, (specifically hotel industry) could apply various management styles to different generations in the workplace. Nearly 269  usable survey questionnaires  have  been collected from 25 unionize hotel employees in Peninsular of Malaysia and the data has  been analyzed with partial least squares (PLS) 2.0.The studies reveal  that factors like performance appraisal and remuneration are not important factors for Gen Y employees to leave the organization. Moreover R square shows 58.6 %, which negatively relates to an   intention to quit, explaining   total variance. The findings show that, Gen Y have a set of characteristics that is different from other employees and they are always on a look out   to innovate and highlight their talents. Furthermore, the findings of this study provide some practical implications on the effect of the intention to quit in the hotel industry. It also could help the managers and Human Resource department to have better understanding in managing and coping with the turnover issues in the hotel industry.
Active Appearance Model for Age Prediction: A Comparison
Authors: Iqtait Musab , Susilawati Mohamad Fatma , Alsuhimat Fadi
Published: April 2019

Individual age gives key demographic data. It is viewed as a paramount delicate biometric characteristic for individual identification, contrasted with other pattern recognition issues. Age estimation is a complex issue particularly in relation to facial pictures with different ages, since the aging procedure varies extraordinarily across different age groups. In this work, we investigate deep learning techniques for age prediction based on Active Appearance Models (AAM) and six classifiers: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Support Vector Regression (SVR), Canonical Correlation Analysis (CCA), Linear Discriminant Analysis (LDA) and Projection Twin Support Vector Machine (PTSVM) to improve the precision of age prediction based on the present methods. In this algorithm, we extracted the traits of the facial images as traits vectors using AAM model, and the classifiers are utilized to predict the age. We were able to recognize that the accuracy of CCA algorithm is the best, the intermediate is SVR and the KNN algorithm is the lowest.
Nonlinear Analysis of Local Site Effects on Seismic Ground Response in New Damietta City, Egypt
Authors: Kamal Heba
Published: April 2019

New Damietta City is situated in a locale of moderate notable seismicity about M6.25 have happened. These dangerous tremors started from the Mediterranean subduction zone among African and Eurasian plates and is underlain by soaked late Holocene stores. In this examination, the city of New Damietta was assessed regarding site intensification and site period. Geographical and geotechnical examination including information base of 543 boreholes were gathered from past geotechnical reports and corroborative exhausting logs were executed by the Lodging and Building national Exploration focus. These information were incorporated to decide the variety of the dirt profile and in addition the qualities of the dirt layers inside the investigation site. One dimensional ground response close examination using corresponding straight system and nonlinear procedure have been done. Nonlinear examinations' results were differentiated and those of the indistinguishable direct method, and both of the similarities and differences are discussed. It is assumed that because of nonlinearity of soil under strong ground developments, 1-D parallel direct showing overestimates the strengthening structures the extent that add up to upgrade level, and can't viably speak to full frequencies and hysteric soil lead. Along these lines, more reasonable and suitable numerical strategies for ground reaction examination ought to be reviewed
Land Surface Temperature Retrieval from LANDSAT-8 Thermal Infrared Sensor Data and Validation with Infrared Thermometer Camera
Authors: Mejbel Salih Muhammad , Zakariya Jasim Oday , I. Hassoon Khalid , Jameel Abdalkadhum Aysar
Published: April 2019

This paper illustrates a proposed method for the retrieval of land surface temperature (LST) from the two thermal bands of the LANDSAT-8 data. LANDSAT-8, the latest satellite from Landsat series, launched on 11 February 2013, using LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data. LANDSAT-8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12 bits. In this search a trial has been made to estimate LST over Al-Hashimiya district, south of Babylon province, middle of Iraq. Two dates images acquired on 2nd &18th of March 2018 to retrieve LST and compare them with ground truth data from infrared thermometer camera (all the measurements contacted with target by using type-k thermocouple) at the same time of images capture. The results showed that the rivers had a higher LST which is different to the other land cover types, of less than 3.47 C ◦, and the LST different for vegetation and residential area were less than 0.4 C ◦ with correlation coefficient of the two bands 10 and 11 Rbnad10= 0.70, Rband11 = 0.89 respectively, for the imaged acquired on the 2nd of march 2018 and Rband10= 0.70 and Rband11 = 0.72 on the 18th of march 2018. These results confirm that the proposed approach is effective for the retrieval of LST from the LANDSAT-8 Thermal bands, and the IR thermometer camera data which is an effective way to validate and improve the performance of LST retrieval. Generally the results show that the closer measurement taken from the scene center time, a better quality to classify the land cover. The purpose of this study is to assess the use of LANDSAT-8 data to specify temperature differences in land cover and compare the relationship between land surface temperature and land cover types.
Behavior of Plastic Tubular Specimens Filled with Brick-Aggregates Concrete Under Compressive Loads
Authors: Sadiq Al-Aasam Haider , Yousif Hassan Ruaa , Jawad Aziz Riyadh
Published: April 2019

This study represents results of an experimental test to investigate the effect on the compression strength of gravel and recycled brick aggregates concrete specimens confined using plastic tubes. Plastic tubes used to confine concrete which is produced using river gravel or broken brick as a replacement for river gravel. A compressive load was applied to the specimens gradually up to failure.The results have indicated that as concrete compressive strength increased from (21.0 to 27.5)MPa, an increase in peak load of (3-46)% was achieved. Moreover, the brick aggregates concrete specimens have lower peak load as compared to gravel concrete and the peak load of confined specimens increased (3-6) times as compared to unconfined. Also, when the ratio of (height/diameter) of the concrete specimen increases from (2-4) the peak load decreased by about (2-12)%.The use of brick aggregates as a replacement to river aggregates results in significant decrease in weight and cost of concrete members. As well, the use of plastic tubes as a concrete form is superior to other construction materials such as wood or steel forms, since plastic tubes reduce the cost of forms and time of construction, and it protects concrete used for underground construction.
Texture Driven Hierarchical Fusion for Multi-Biometric Sys-tem
Authors: Rachapalli Devendra Reddy , Kalluri Hemantha Kumar
Published: April 2019

This article presents hierarchical fusion models for multi-biometric systems with improved recognition rate. Isolated texture regions are used to encode spatial variations from the composite biometric image which is generated by signal level fusion scheme. In this paper, the prominent issues of the existing multi-biometric system, namely, fusion methodology, storage complexity, reliability and template security are discussed. Here wavelet decomposition driven multi-resolution approach is used to generate the composite images. Texture feature metrics are extracted from multi-level texture regions and principal component analyzes are evaluated to select potentially useful texture values during template creation. Here through consistency and correlation driven hierarchical feature selection both inter-class similarity and intra-class variance problems can be solved. Finally, t-normalized feature level fusion is incorporated as a last stage to create the most reliable template for the identification process. To ensure the security and add robustness to spoof attacks random key driven permutations are used to encrypt the generated multi-biometric templates before storing it in a database.  Our experimental results proved that the proposed hierarchical fusion and feature selection approach can embed fine detailed information about the input multi modal biometric images with the least complex identification process.
Design and Implementation of Modular Multilevel Converter for Photovoltaic Energy Generation Using Hill Search Method
Authors: K Rachananjali , R Dr Srinu Naik
Published: April 2019

This article proposes an approach to capture solar energy utilizing double energy conversion from DC-DC and DC-AC.  The present scenario requires lot of energy in order to meet the demand; the energy generation without hurting the environment is possible by means of non-conventional sources. In this article the source chosen is solar energy. To capture solar energy, solar cell is utilized. On capturing the solar energy the achieved result is in the form of DC. The DC link is established and it is boosted with the help of DC-DC converter and it is being fed as input to modular multilevel converter (MMC) which provides us with the desirable AC output. To escalate the performance of the system hill search which is one of the maximum power point tracking (MPPT) technique is being implemented. The performance of the proposed system is being verified by simulation results and results are validated.
A Comparative Study on Total Harmonic Distortion of Interleaved Boost Rectifier with the other Boost Derived Topologies
Authors: Gollapudi Srikanth , Lalitanand G V S N , Ezhilarasi Angeline
Published: April 2019

Boost rectifiers find their applications in the active power factor correction and have been subject to extensive research. Further, various topologies have been introduced, studied and applied in order to make boost rectifiers more and more efficient and better. Accordingly, Bridgeless configuration and Interleaved topology are most popular among others. In this paper, a comparative study between Basic boost rectifier, bridgeless boost rectifier, interleaved boost rectifier and bridgeless interleaved boost rectifier model has been carried out. The differences analyzed are summarized to learn about the best configuration and which can be implemented. Bridgeless configuration reduces conduction losses in the system by removing one diode from line conduction path while two parallel boost converters with anti-phase conduction in a 2-interleaved topology reduces the current ripple. BLIL combines the advantages of both the system in a single circuit.
A Survey on Harmonic Mitigation Techniques in Power System
Authors: Abirami P. , C.N.Ravi Dr.
Published: April 2019

In recent years, one of the most frightening criteria in power system is the generation of harmonics, due to the advancement in power semiconductor devices. Today most of the commercial, residential and industrial loads include advanced semiconductor technology and the utility of these non-linear loads results in harmonics generation on consumer’s premises. These harmonics plays a vital role in polluting the power quality of a distribution network by introducing losses which results in the failure of distribution side electrical equipment like transformer, protection, measuring devices, distribution feeders and so on. Hence to enhance the power quality, harmonic mitigation technique should be implemented in a distribution network. This paper surveys about the availability of various harmonic mitigation techniques with the analysis of its merits and demerits.
Two-Envelope System for Consultant Selection using Weighted Sum Model
Authors: Faizal Bin Omar Mohd , Trigunarsyah Bambang , Wong Johnny
Published: April 2019

Consultant Selection is one of a classical problem in Multi Criteria Decision Making (MCDM). Most of the literature in Operation Research only concentrates on model building rather than developing an inclusive analytic tool that extends to a Decision Support System (DSS). In this paper, we deploy a case study approach to understand the user requirement for DSS development. We observe the process of consultant selection and the decision making at one of the technical department which involve in the infrastructure project in Malaysia. A two-envelope system and a simple Weighted Sum Model are currently in use. We demonstrate the abstraction and application based on two case projects. Sensitivity analysis is also performed and the result shows that the decision changed if it is solely based on fees or with minimal quality criteria.  Finally, we gather the findings from the organizational flows, user modelling and decision making process in order to benchmark with our future works. This will helps us to better understand and develop an improved decision support model or tools for consultant selection problem.
Computational Muscle Driven Knee Simulator for Assessment of Total Knee Replacement Post-Cam Mechanics
Authors: Afzan Mohd Anuar Mohd , Todo Mitsugu
Published: April 2019

Biomechanics of post-cam mechanism is essential in determining the longevity of knee implant. Computational knee simulator is an efficient method in characterizing TKA performance under various boundary conditions. The existing knee simulators, however, were actuated only by quadriceps translation and hip load to perform squatting motion. The present computational knee simulator was developed based on lower limb of Japanese female subject having body weight, W = 51 kg and height, H = 148 cm. Two different designs of PS-type knee prostheses were tested namely Superflex and NRG. The knee motion was driven by three major muscles; quadriceps, hamstrings and gastrocnemius. The biomechanical behavior of tibiofemoral articulation associated with post-cam engagement mechanics was observed. Post-cam engagement occurred at 80° and 65° of flexion angles for Superflex and NRG, respectively. Maximum von Mises stresses at tibial post were 80 MPa and 50 MPa for Superflex and NRG, respectively. The developed computational muscle driven knee simulator has successfully assessed the performance of TKA prostheses.
Opening theory as an innovative model of the development strategy of industrial companies
Authors: Arefyeva O. , Prokhorova V. , Chebanova N. , Khaustova V. , Mushnikova S.
Published: April 2019

The modern state of the national economy requires significant changes at all levels. Industrial companies as one of the main elements of the national economy exert a great influence on formation of the well-being. So, it is industrial companies that should be developed. However, development is only possible provided there is a relevant control system, and in the modern economic conditions, innovative management forms and techniques for the development of industrial companies should be implemented. Together with multiple current management forms and techniques for industrial companies, implementing an innovative form that is based on opening theory borrowed from the chess game is proposed. Using this theory that unites mathematical and gaming methods of the management of development of an industrial company, an innovative model of the development strategy could be formed that would take into account antagonisms of socioeconomic relations. Opening theory has distinct advantages in the formation of the innovative development strategy for an industrial company. It takes into account multiples factors which influence the contradictions in the socioeconomic relations choosing the optimal decision by the min antagonism criterion in the initial phase. A material deficiency of the mathematical formalization of the socioeconomic problems is the result of their qualitative novelty and complexity.
Quantitative and Qualitative Approaches in Managing Human Resource Development in Enterprises
Authors: Buzko Iryna , Dyachenko Yuriy , Ovcharenko Ievgen , Klius Yuliia
Published: April 2019

The paper proposes comparing the existing and the required level of competence of the employee as a tool for determining the qualitative and quantitative parameters of personnel training. To implement this comparison, in accordance with official requirements, the human capital required for the performance of official duties as an employee's quality, which acquires value in the process of attracting to industrial relations, is calculated. Qualitative and quantitative parameters of personnel training are determined on the basis of calculation of the difference between necessary and existing competence taking into account financial possibilities of the enterprise. According to the results of calculating the available human capital, which a certain employee owns, and comparing it with the necessary one, the content (according to the type of insufficient capital) and the amount (by difference between the existing and the required level) of training, which should bring the available human capital of the employee in accordance with the required one. Formation of the content of the training is based on the definition of individual assets of human capital, which depend on the requirements for the competence of the employee and can be changed through training.
Boundary Layer of a Dusty Fluid Flow Over A Stretching Sheet
Authors: S Noorzehan F. M. , A Anati , M Syahira , M Radiah , J Nurul A.
Published: April 2019

A numerical analysis has been carried out to investigate the effects of suction parameter and fluid-particle interaction parameter on boundary layer of dusty fluid towards the stretching sheet. The governing equations of boundary layer were transformed into system of coupled non-linear ordinary differential equations with the help of similarity transformation. The transformed equations then solved numerically using bvp4c solver of MATLAB software. The effects of physical parameters on velocity profile of fluid phase and dust particle phase were obtained and analysed through several plots. Useful discussion were carried out with the help of plotted graphs and tables. The numerical results obtain were compared and found to be in good agreement with the previous study. It is observed that the presence of suction increase the velocity of fluid meanwhile opposite with velocity of particle. Besides that, the fluid-particle interaction parameter increase the velocity of particle. These findings will be used for future studies involving nanofluid.
The Performance of Service Marketing Mix Towards Decision in Continuing Education at SMK Lugina Rancaekek, District of Bandung, West Java
Authors: Rachmawati Mariana , Haizam Mohd Saudi Mohd , Adjeng Mariana R. , Adriansyah Anwar Tezza
Published: April 2019

This paper study on the effect of service marketing mix performance consisting of product, price, place, promotion, people, physical evidence, and process to decision in continuing education at SMK Lugina Rancaekek District of Bandung. The method used is quantitative method with descriptive approach. It used primary data and secondary data. This study was conducted in a field of education with population of all students of class X in SMK Lugina Rancaekek. Sample determination technique used is non-probability sampling technique with purposive sampling approach, which become sample in this research is class X student at SMK Lugina Rancaekek, that is 74 people. Data collection technique is done by questionnaire method, interview, observation, and documentation. Based on the results of study, with multiple regression analysis obtained value of 21,733. While, the correlation coefficient analysis is 0,607. The amount of influence of service marketing mix performance to decision in continuing education equal to 36,2% and the rest 63,8% influenced by other variable not examined in this study. T test results obtained t value arithmetic on product variables 2,516, price 2,618, place 2,565, promotion 1,999, people 2,577, physical evidence 2,066, and process 2,470 bigger than t table that is 1,9966, then Ha accepted and Ho rejected. Thus, it can be concluded that product variables, price, place, promotion, people, physical evidence, and process affect the decision in education in SMK Lugina Rancaekek.
Constructing Scalar Multiplication via Elliptic Net of Rank Two
Authors: Muslim Norliana , Rushdan Md. Said Mohamad
Published: April 2019

Elliptic nets are a powerful method for computing cryptographic pairings. The theory of rank one nets relies on the sequences of elliptic divisibility, sets of division polynomials, arithmetic upon Weierstrass curves, as well as double and double-add properties. However, the usage of rank two elliptic nets for computing scalar multiplications in Koblitz curves have yet to be reported. Hence, this study entailed investigations into the generation of point additions and duplication of elliptic net scalar multiplications from two given points on the Koblitz curve. Evidently, the new net had restricted initial values and different arithmetic properties. As such, these findings were a starting point for the generation of higher-ranked elliptic net scalar multiplications with curve transformations. Furthermore, using three distinct points on the Koblitz curves, similar methods can be applied on these curves.
A Review on Building Energy Efficiency Techniques
Authors: Al-Ghaili Abbas M. , Kasim Hairoladenan , Othman Marini , Hassan Zainuddin
Published: April 2019

This paper highlights a number of recently published research studies during last five years in order to provide a summary related to latest trends of energy efficiency in the smart buildings technology. It reviews numerous technical methods applied to achieve a high level of Building Energy Efficiency (BEE). In this paper, methods applied to measure the BEE and to predict the energy-use have been considered and reviewed. Furthermore, some other methods discussed in articles which consider retrofitting of interior design of buildings have been taken. One of the most impacts that has been considered is the light control system because it directly affects the energy use. This paper has reviewed different types of techniques that save energy consumptions such as predictive techniques of energy use, Internet of Things (IoT) buildings, light control systems inside buildings, and Quick Response (QR) code based services used to notify occupants for energy-use. It has provided a simple comparison between different techniques used to retrofit the interior design of buildings due to its high importance in saving energy. The paper has also recommended suitability of methods taking into account the existing situation, design, limitations, and conditions of the building being studied.
Level and Capacity Assessment of Technological Development of Enterprise
Authors: Mikaeva S.A. , Mikayeva A.S.
Published: April 2019

This article assesses the technological level and potential of technological development of an enterprise on the basis of a methodical approach. The essence of this approach is to build a composite indicator of the object being evaluated by determining its key components. First, there is a process of decomposing the summary indicator in order to determine the quantitative indicators of its constituent elements, and then, aggregating the obtained values into a composite index in order to obtain a generalized assessment.
Fuzzy tgp-closed sets and fuzzy t^* gp-closed sets
Authors: Riyadh Kareem Noor , . .
Published: April 2019

In this paper, we aim to address the idea of fuzzy -set and fuzzy -set in fuzzy topological space to present new types of the fuzzy closed set named fuzzy -closed set and fuzzy -closed set. We will study several examples and explain the relations of them with other classes of fuzzy closed sets. Moreover, in a fuzzy locally indiscrete space we can see that these two sets are the same.
Country Information Based on Long-Term Short-Term Memory (LSTM)
Authors: Son Hojae , Paul Anand , Jeon Gwanggil
Published: April 2019

Social platform such as Facebook, Twitter and Instagram generates tremendous data these days. Researchers make use of these data to extract meaningful information and predict future. Especially twitter is the platform people can share their thought briefly on a certain topic and it provides real-time streaming data API (Application Programming Interface) for filtering data for a purpose. Over time a country has changed its interest in other countries. People can get a benefit to see a tendency of interest as well as prediction result from twitter streaming data. Capturing twitter data flow is connected to how people think and have an interest on the topic. We believe real-time twitter data reflect this change. Long-term Short-term Memory Unit (LSTM) is the widely used deep learning unit from recurrent neural network to learn the sequence. The purpose of this work is building prediction model “Country Interest Analysis based on LSTM (CIAL)” to forecast next interval of tweet counts when it comes to referring country on the tweet post. Additionally it’s necessary to cluster for analyzing multiple countries twitter data over the remote nodes. This paper presents how country attention tendency can be captured over twitter streaming data with LSTM algorithm.