bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposal for End-to-End QoS Provisioning in Software-Defined Networks
Authors: Lucrezia Francesco , Marchetto Guido , Risso Fulvio , Santuari Michele , Gerola Matteo
Published: October 2017

This paper describes a framework application for the control plane of a network infrastructure; the objective is to feature end-user applications with the capability of requesting at any time a customised end-to-end Quality-of-Service profile in the context of dynamic Service-Level-Agreements. Our solution targets current and future real-time applications that require tight QoS parameters, such as a guaranteed end-to-end delay bound. These applications include, but are not limited to, health-care, mobility, education, manufacturing, smart grids, gaming and much more. We discuss the issues related to the previous Integrated Service and the reason why the RSVP protocol for guaranteed QoS did not take off. Then we present a new signaling and resource reservation framework based on the cutting-edge network controller ONOS.  Moreover, the presented system foresees the need of considering the edges of the network, where terminal applications are connected to, to be piloted by distinct logically centralised controllers. We discuss a possible inter-domain communication mechanism to achieve the end-to-end QoS guarantee.
A 300 GHz CMOS Transmitter Front-End for Ultrahigh-Speed Wireless Communications
Authors: Vu Tuan Anh , Fujishima Minoru
Published: October 2017

This paper presents a 300 GHz transmitter front-end suitable for ultrahigh-speed wireless communications. The transmitter front-end realized in TSMC 40 nm CMOS consists of a common-source (CS) based doubler driven by a two-way D-band power amplifier (PA). Simulation results show that the two-way D-band PA obtains a peak gain of 21.6 dB over a -3 dB bandwidth from 132 GHz to 159 GHz. It exhibits a saturated power of 7.2 dBm and a power added efficiency (PAE) of 2.3%, all at 150 GHz. The CS based doubler results in an output power of 0.5 mW at 300 GHz. The transmitter front-end consumes a DC power of 205.8 mW from a 0.9 V supply voltage while it occupies an area of 2.1 mm2.
Smart Local Backup Protection for Smart Substation
Authors: Dazahra M.N. , Elmariami F. , Belfqih A. , Boukherouaa J.
Published: October 2017

This paper presents a novel smart local backup protection SLBP used for the support and backup of the protective relays in a smart substation. The proposed SLBP is based on the IEC61850 standards and the concept consists of the acquisition of Generic Object Oriented Substation Event GOOSE used for tripping and interlocks exchange between Intelligent Equipment Devices IEDs and the reading of the Sampled Value SV existing in the process bus coming from Mergin Units MU or Non-Conventional Instrument Transformers NCIT. Several logical schemes to protect different zones of the substation are presented and how can be integrated using data in the substation automation system. The SLBP was developed using an open source library and free operating system. Moreover, a low cost prototype is presented in order to evaluate the efficiency and the operation of the SLBP under diverse scenarios of the proposed logical protective schemes such us breaker failure and overcurrent protection
A Deconvolution Approach to the Three Dimensional Identification of Cracks in Magnetic Slabs
Authors: A. Adly Amr , K. Abd-El-Hafiz Salwa
Published: October 2017

Nondestructive assessment of cracks in metallic parts has always been a topic of industrial interest. In the past, different approaches have been proposed to assess such cracks. Recently, semi-orthogonal compactly supported spline wavelets were utilized to efficiently identify the 3D spatial location of cracks in conducting slabs of finite thicknesses. Within this proposed approach a horizontally oriented field sensor is employed on top of a magnetic slab subject to uniform horizontal magnetic field. In this paper the 3D spatial identification of cracks in conducting slabs is carried out through the Fourier transform by de-convoluting sensor response. In comparison to the previously adopted approach, the approach proposed in this paper is capable of identifying cracks that span over a relatively larger distance.  Details of the crack detection methodology and simulations are given in the paper.
Multi Objective Directed Bee Colony Optimization for Economic Load Dispatch With Enhanced Power Demand and Valve Point Loading
Authors: Gachhayat S.K. , Dash Saroj Kumar , Ray Priyambada
Published: October 2017

Earlier economic emission dispatch methods for optimizing emission level comprising carbon monoxide, nitrous oxide and sulpher dioxide in thermal generation, made use of soft computing techniques like fuzzy,neural network,evolutionary programming,differential evolution and particle swarm optimization etc..The above methods incurred comparatively more transmission loss.So looking into the nonlinear load behavior of unbalanced systems following differential load pattern prevalent in tropical countries like India,Pakistan and Bangladesh etc.,the erratic variation of enhanced power demand is of immense importance which is included in this paper vide multi objective directed bee colony optimization with enhanced power demand to optimize transmission losses to a desired level.In the current dissertation making use of multi objective directed bee colony optimization with enhanced power demand technique the emission level versus cost of generation has been displayed vide figure-3 & figure-4 and this result has been compared with other dispatch methods using valve point loading(VPL) and multi objective directed bee colony optimization with & without transmission loss.
A Compact UWB BPF with a Notch Band using Rectangular Resonator Sandwiched between Interdigital Structure
Authors: Gaurav Yatindra , Chauhan R.K.
Published: October 2017

This paper presents a compact design of an ultra wide band bandpass filters with a notch band using interdigital structure. The aim of the design is to reduce the size of filter, reduce the complexity of the design, and improve the performance of filter response. The proposed filter comprises of a rectangular resonator sandwiched between Interdigital structures, with rectangular slot as defected microstrip structure at the input and output ports. This design has been used for the first time to achieve the above aim. The advantage with this design is that, it does not use any via or defected ground structure. The insertion loss of proposed filter, in passband between 3.1 GHz to 10.8 GHz, is less than 0.7dB, and for the notched band it is 21.5 dB centred at 7.9 GHz. The proposed filter is fabricated, tested and compared with simulated results. The proposed design was small in size with less complexity, and shows performance better than the other designs available in the literatures at this dimension.
LMS Adaptive Filters for Noise Cancellation: A Review
Authors: Dixit Shubhra , Nagaria Deepak
Published: October 2017

This paper reviews the past and the recent research on Adaptive Filter algorithms based on adaptive noise cancellation systems. In many applications of noise cancellation, the change in signal characteristics could be quite fast which requires the utilization of adaptive algorithms that converge rapidly. Algorithms such as LMS and RLS proves to be vital in the noise cancellation are reviewed including principle and recent modifications to increase the convergence rate and reduce the computational complexity for future implementation. The purpose of this paper is not only to discuss various noise cancellation LMS algorithms but also to provide the reader with an overview of the research conducted.
SVM Classification of MRI Brain Images for Computer-Assisted Diagnosis
Authors: Hamiane Madina , Saeed Fatema
Published: October 2017

Magnetic Resonance Imaging is a powerful technique that helps in the diagnosis of various medical conditions. MRI Image pre-processing followed by detection of brain abnormalities, such as brain tumors, are considered in this work. These images are often corrupted by noise from various sources. The Discrete Wavelet Transforms (DWT) with details thresholding is used for efficient noise removal followed by edge detection and threshold segmentation of the denoised images. Segmented image features are then extracted using morphological operations. These features are finally used to train an improved Support Vector Machine classifier that uses a Gausssian radial basis function kernel. The performance of the classifier is evaluated and the results of the classification show that the proposed scheme accurately distinguishes normal brain images from the abnormal ones and benign lesions from malignant tumours. The accuracy of the classification is shown to be 100% which is superior to the results reported in the literature.
Video Shot Boundary Detection using the Scale Invariant Feature Transform and RGB Color Channels
Authors: El khattabi Zaynab , Tabii Youness , Benkaddour Abdelhamid
Published: October 2017

Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
A PAPR Reduction for OFDM Signals Based on Self-Adaptive Multipopulation DE algorithm
Authors: Ait-Saadi Hocine , Chouinard Jean-Yves , Guessoum Abderrazak
Published: October 2017

One of major drawbacks of orthogonal frequency division multiplexing (OFDM) systems is the high peak-to-average power ratio (PAPR). A signal with high PAPR leads to nonlinear distortion caused mainly by power amplifiers in wireless transmitters. Partial transmit sequence (PTS) is one of the most attractive methods to reduce the PAPR in OFDM systems. It achieves considerable PAPR reduction without distortion, but it requires an exhaustive search over all the combinations of the given phase factors, which results in a computational complexity that increases exponentially with the number of partitions. For this optimization problem, we propose in this paper a suboptimal PTS method based on the self-adaptive multipopulation differential evolution algorithm (SAMDE). The self adaptation of control parameters and structured population, is able to obtain high quality solutions with low computational cost by evolving each sub-population of individuals over successive generations.
Inter-cell Interference Management Technique for Multi-Cell LTE-A Network
Authors: Iskandar Iskandar , Setyawan I. , Nuraini H.
Published: October 2017

In modern cellular system such as LTE Advanced (LTE-A), frequency reuse scheme is targeted to be applied to fulfill the requirement of high capacity broadband access and high spectrum efficiency. But this kind of frequency planning may lead to the worse inter-cell interference (ICI) level experienced especially by a user located at the cell edge. Soft Frequency Reuse (SFR) is considered as an effective way to mitigate inter-cell interference and maintain capacity. We propose a power division SFR, known as multi level SFR technique to minimize ICI in a designed LTE-A network for sub-urban environment. Service area of LTE-A network was first developed to deploy particular number of eNB by using LTE network planning tools in the frequency of 1800 MHz with the use of SISO (Single Input Single Output) antennas. Coverage dimensioning and propagation consideration determine LTE-A parameters which were used in the simulation. Monte carlo simulation is executed to examine the performance of SFR for LTE-A downlink transmission to address different power ratio and traffic loads problem. Both performance of cell edge users and overall cell performance are evaluated in terms of CINR, BLER, and throughput. Performance with SFR is also compared with the classical frequency reuse one and three.
Enabling External Factors for Inflation Rate Forecasting Using Fuzzy Neural System
Authors: Sari Nadia Roosmalita , Mahmudy Wayan Firdaus , Wibawa Aji Prasetya , Sonalitha Elta
Published: October 2017

Inflation is the tendency of increasing prices of goods in general and happens continuously. Indonesia's economy will decline if inflation is not controlled properly. To control the inflation rate required an inflation rate forecasting in Indonesia. The forecasting result will be used as information to the government in order to keep the inflation rate stable. This study proposes Fuzzy Neural System (FNS) to forecast the inflation rate. This study uses historical data and external factors as the parameters. The external factor using in this study is very important, which inflation rate is not only affected by the historical data. External factor used are four external factors which each factor has two fuzzy set. While historical data is divided into three input variables with three fuzzy sets. The combination of three input variables and four external factors will generate too many rules. Generate of rules with too many amounts will less effective and have lower accuracy. The novelty is needed to minimalize the amount of rules by using two steps fuzzy. To evaluate the forecasting results, Root Means Square Error (RMSE) technique is used. Fuzzy Inference System Sugeno used as the comparison method. The study results show that FNS has a better performance than the comparison method with RMSE that is 1.81.
Effective Load Balance Scheduling Schemes for Heterogeneous Distributed System
Authors: Khan Zeba , Alam Mahfooz , Haidri Raza Abbas
Published: October 2017

Importance of distributed systems for distributing the workload on the processors is globally accepted. It is an agreed fact that divides and conquers is the effective strategy for load balancing problems. In today’s time, load balancing is the major issue for scheduling algorithm such as in Parallel and Distributed Systems including Grid and Cloud Computing and many more. Load Balancing is the phenomena of spreading or distributing the workload among the processors so that all processors keep busy for all the time, in order to prevent ideal time of processors. In this work, presents a load balancing algorithm for heterogeneous distributed system (HeDS) with aim of minimizing the load imbalance factor (LIF). The proposed algorithm is using optimization techniques such as Max-Max and Min-Max strategy and applied on Folded Crossed Cube (FCC) network. Makespan, speedup and average resource utilization are also evaluated for performance matrices. The experimental results of the proposed algorithms have showed better in comparison to with previous work under various test conditions.
Online Expert Systems For Bamboo Identification Using Case Based Reasoning
Authors: Purwandari Endina Putri , Yani Ariefa Primair , Sugraha Ramanda , Anggriani Kurnia , Widi Winarni Endang
Published: October 2017

Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.
Converting UML Class Diagrams into Temporal Object Relational DataBase
Authors: Soumiya Ain El Hayat , Mohamed Bahaj
Published: October 2017

Number of active researchers and experts, are engaged to develop and implement new mechanism and features in time varying database management system (TVDBMS), to respond to the recommendation of modern business environment..Time-varying data management has been much taken into consideration with either the attribute or tuple time stamping schema. Our main approach here is to try to offer a better solution to all mentioned limitations of existing works in order to provide the non-procedural data definitions, queries of temporal data as complete as possible technical conversion that allow to easily realize and share all conceptual details of the UML class specifications, from conception and design point of view. This paper contributes to represent a logical design schema by UML class diagrams, which are handled by stereotypes to express a temporal object relational database with attribute timestamping.
A Systematic Mapping Review of Software Quality Measurement: Research Trends, Model, and Method
Authors: Wahyuningrum Tenia , Mustofa Khabib
Published: October 2017

Software quality is a key for the success in the business of information and technology. Hence, before be marketed, it needs the software quality measurement to fulfill the user requirements.  Some methods of the software quality analysis have been tested in a different perspective, and we have presented the software method in the point of view of users and experts. This study aims to map the method of software quality measurement in any models of quality. Using the method of Systematic Mapping Study, we did a searching and filtering of papers using the inclusion and exclusion criteria. 42 relevant papers have been obtained then. The result of the mapping showed that though the model of ISO SQuaRE has been widely used since the last five years and experienced the dynamics, the researchers in Indonesia still used ISO9126 until the end of 2016.The most commonly used method of the software quality measurement Method is the empirical method, and some researchers have done an AHP and Fuzzy approach in measuring the software quality.
QoS based Admission Control using Multipath Scheduler for IP over Satellite Networks
Authors: Audah Lukman , Sun Zhili , Cruickshank Haitham
Published: October 2017

This paper presents a novel scheduling algorithm to support quality of service (QoS) for multiservice applications over integrated satellite and terrestrial networks using admission control system with multipath selection capabilities. The algorithm exploits the multipath routing paradigm over LEO and GEO satellites constellation in order to achieve optimum end-to-end QoS of the client-server Internet architecture for HTTP web service, file transfer, video streaming and VoIP applications. The proposed multipath scheduler over the satellite networks advocates load balancing technique based on optimum time-bandwidth in order to accommodate the burst of application traffics. The method tries to balance the bandwidth load and queue length on each link over satellite in order to fulfil the optimum QoS level for each traffic type. Each connection of a traffic type will be routed over a link with the least bandwidth load and queue length at current time in order to avoid congestion state. The multipath routing scheduling decision is based on per connection granularity so that packet reordering at the receiver side could be avoided. The performance evaluation of IP over satellites has been carried out using multiple connections, different file sizes and bit-error-rate (BER) variations to measure the packet delay, loss ratio and throughput.
Maximizing Energy Efficiency for Consumption Circuit Power in Downlink Massive MIMO Wireless Networks
Authors: Salh Adeeb , Audah Lukman , M. Shah Nor Shahida , Hamzah Shipun A.
Published: October 2017

Massive multi-input–multi-output (MIMO) systems are crucial to maximizing energy efficiency (EE) and battery-saving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through zero forcing (ZF) and three linear precodings: maximum ratio transmission (MRT), zero forcing (ZF), and minimum mean square error (MMSE). Performance EE can be achieved when all available antennas are used and when taking account of the consumption circuit power ignored because of high transmit power. The aim of this work is to demonstrate how to obtain maximum EE while minimizing power consumed, which achieves a high data rate by deriving the optimal number of antennas in the downlink massive MIMO system. This system includes not only the transmitted power but also the fundamental operation circuit power at the transmitter signal. Maximized EE depends on the optimal number of antennas and determines the number of active users that should be scheduled in each cell. We conclude that the linear precoding technique MMSE achieves the maximum EE more than ZF and MRTbecause the MMSE is able to make the massive MIMO system less sensitive to SNR at an increased number of antennas.
Study on the Effect of the Ambient Temperature toward the Quality of Sleep
Authors: Mohd Saad Wira Hidayat bin , Wuen Khoo Chin , Mat Ibrahim Masrullizam bin , Mohd Saad Nor Hashimah Binti , Ahmad Radz Syafeeza Binti , Bin Mohamad Shokri Ahmad Sayuthi , Karis Mohd Safirin bin
Published: October 2017

Getting enough sleep at the right times can help in improving quality of life and protect mental and physical health. This study proposes a portable sleep monitoring device to determine the relationship between the ambient temperature and quality of sleep. Body condition parameter such as heart rate, body temperature and body movement was used to determine quality of sleep. All readings will be log into database so that users can review back and hence analyze quality of sleep. The functionality of the overall system is designed for a better experience with a very minimal intervention to the user. The simple test on the body condition (body temperature and heart rate) while asleep with several different ambient temperatures are varied and the result shows that someone has a better sleep for the temperature range of 23 to 28 degree Celsius. This can prove by lower body temperature and lower heart rate.
Development of Non-Invasive Ultrasonic Measuring System for Monitoring Multiphase Flow in Liquid Media within Composite Pipeline
Authors: Shaib Mohd Fadzli Abd , Rahim Ruzairi Abd , Muji S.Z.M.
Published: October 2017

Process of conveying liquid substance via the pipeline is the most common practice of transferring the liquid from one point to another point. Composite pipeline is becoming an option for liquid conveying purposed (instead of PVC, acrylic or metal) for its durability, longer lifetime and non-corrosive material in comparison with current pipeline. In order to ensure, the conveying process has a smooth flow rate without particle or bubble disturbance that could hinder good process flow, non-invasive monitoring system is always required. The ultrasonic measuring system is one of the monitoring options that could be applied. With proper designed for transmitting and conditioning circuitry, 300 kHz ultrasonic frequencies are found as the optimal frequency needed to penetrate across the composite pipeline with full of liquid. The ultrasonic sensor response is being successfully differentiated between full flow (no material blockage) and with bulk material blockage (dry and wet sand).
Electric Filed Intensity of the Lightning Strikes on Lightning Air Terminals Installed on Building Structures
Authors: Ullah Irshad , Baharom MNR , Luqman H.M. , Ahmad H. , Zainal Zainab
Published: October 2017

Lightning activities are growing up rapidly with global warming. It can affect anything on the earth. All the constructed buildings need proper protection from the harmful effect of lightning. Lightning strike points on different geometrical shapes have been investigated. Lightning strike distribution of different building structure is very important to be studied. In order to analyse the maximum effect of lightning strike pattern is obtained of different air terminals installed on scaled building structures. High voltage impulse generator is used in order to get the impulse voltage. Different numbers of air terminals have been applied to all the shapes in order to see the lightning strike points. Electric field is obtained in order to see its minimum and maximum effect on the entire building structure. Interestingly the phenomenon of lightning air terminal bypasses has been proved in this paper.
PDC Analysis of LLDPE-NR Nanocomposite for Effect of Moisture Absorption
Authors: Jamail N. A. M. , Piah M. A. M. , Muhammad N. A. , Kamarudin Q. E.
Published: October 2017

The properties of insulation have been improved by many research and the ability of nanocomposite material that composes the characteristic of improving electrical performance due to the addition of nanofiller into the based material gets serious attention. Polarization and Depolarization Current (PDC) measurement that has the ability to assess the condition of HV insulations with the initial periods after a DC step voltage application was favoured compared to other non-destructive monitoring techniques. This paper presents the works on moisture absorption in LLDPE-NR nanocomposite with different amount and percentage of nanofillers. The study of PDC level of the LLDPE-NR compound, filled with different amount of SiO2, TiO2 and MMT nanofiller using Polarization and Depolarization Current (PDC) measurement technique is the main objective of this research. These results show that sample A1 has the lowest polarization current value and sample B5 has the lowest depolarization current value.
Investigation of Potential Grounding Compound for Portable Applications
Authors: Hasni N.A.M. , Abd-Rahman R. , Ahmad H. , Jamail N.A.M. , Kamaruddin M. S. , Ridzwan S.S.
Published: October 2017

This paper applies to the electrical engineering world by making earthing system portable in providing low and acceptable resistance path. The system is develop in a small scale portable earthing system against the massiveness of Earth and becomes leverage if soil at the place is not suitable for plant grounding system. Hence, this paper presents findings on the research of new grounding medium material that will be housed in a small scale enclosure which behaves like native earth related earthing system by using kaolin and bauxite. The data obtained from lightning flashover testing, morphological and chemical composition of material analysis indicated that bauxite is more useful for portable grounding system application much better than kaolin in term of zero reference point function. The portable earthing system can be apply to air aviation systems , railway systems and military sectors particularly for electronic equipment zero referencing.
The Effects of Nano Fillers on Space Charge Distribution in Cross-Linked Polyethylene
Authors: Ramani A. N. , Ariffin A. M. , Vijian Gobinath , Abd Ghani Ahmad Basri
Published: October 2017

The performance of polymeric insulation will be distorted by the accumulation of space charge. This will lead to local electric field enhancement within the insulation material that can cause degradation and electrical breakdown. The introduction of nanofillers in the insulation material is expected to reduce the space charge effect. However, there is a need to analyze potential nanofillers to determine the best option. Therefore, the objective of this research work is to examine two types of nanofillers for Cross-Linked Polyethylene (XLPE); Zinc Oxide (ZnO) and Acrylic (PA40). The effects of these nanofillers were measured using the Pulsed-Electro Acoustic (PEA) method. The development of space charge is observed at three different DC voltage levels in room temperature. The results show that hetero charge distribution is dominant in pure XLPE materials. The use of both nanofiller types have significant effect in decreasing the space charge accumulation. With nanofillers, the charge profile changed to homo-charge distribution, suppressing the space charge formation. Comparison
between both the nanofillers show that PA40 has better suppression performance than ZnO.
Development of a Home-based Wrist Rehabilitation System
Authors: Ambar Radzi , Zakaria Muhammad Faiz , Ahmad Muhammad Shukri , Muji Siti Zarina , Abd Jamil Muhammad Mahadi
Published: October 2017

There are several factors that may result to wrist injuries such as athlete injuries and stroke. Most of the patients are unable to undergo rehabilitation at healthcare providers due to cost and logistic constraint. To solve this problem, this project proposes a home-based wrist rehabilitation system. The goal is to create a wrist rehabilitation device that incorporates an interactive computer game so that patients can use it at home without assistance. The main structure of the device is developed using 3D printer. The device is connected to a computer, where the device provides exercises for the wrist, as the user completes a computer game which requires moving a ball to four target positions. Data from an InvenSense MPU-6050 accelerometer is used to measure wrist movements. The accelerometer values are read and used to control a mouse cursor for the computer game. The pattern of wrist movements can be recorded periodically and displayed back as sample run for analysis purposes. In this paper, the usefulness of the proposed system is demonstrated through preliminary experiment of a subject using the device to complete a wrist exercise task based on the developed computer game. The result shows the usefulness of the proposed system.
Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources
Authors: Diván Mario , Ángeles Martín María de los
Published: October 2017

In this work an updating of the C-INCAMI (Context-Information Need, Concept model, Attribute, Metric and Indicator) conceptual framework for Measurement and Evaluation projects was proposed. The updating incorporated better supporting for the measures stream processing. Therefore, a new version of the measurement interchange schema based on the updated C-INCAMI framework was introduced. This new schema incorporated the concept of “complementary data” linking them with geographic information. The complementary data could be associated with the measures and allowed us incorporating video, geographic information, text plain, audio or pictures with the quantitative measures (deterministic or estimated) jointly. A practical case associated with the Weather Radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) was shown, indicating the advantages of the new schema.
Harmonic Distortion Evaluation Generated by PWM Motor Drives in Electrical Industrial Systems
Authors: Sousa Vladimir , Hernández Herrera Hernán , C Quispe Enrique , R Viego Percy , R Gómez Julio
Published: October 2017

This paper evaluates the harmonic distortion generated by PWM motor drives in an electrical industrial system of a wheat flour mill company. For this, a comparative study between two industrial circuits connected at the same point of common coupling (PCC) with similar characteristics of load and transformers is presented. The difference is that one circuit has PWM motor drives and the other does not have them. In the study, a practical method based on the statistical characterization of the total harmonic distortion of voltage (THDV) and current (THDI), individual voltage distortion (IVD), individual current distortion (ICD) and K-Factor is applied. As result, it was observed that PWM motor drives generated voltage harmonics mainly of fifth and seventh order with values that exceed limits established by standards in both circuits. With these values, the operation of elements such as capacitors, motors and transformers can be affected. In the work is also demonstrated that in the analysis of harmonics is necessary to consider various parameters and not only one.
Network Reconfiguration of Primary Distribution System Using GWO Algorithm
Authors: Reddy A. V. Sudhakara , Reddy M. Damodar , Kumar Reddy M. Satish
Published: October 2017

This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This paper proposes a Grey Wolf Optimization (GWO) algorithm to solve the feeder reconfiguration problem through fitness function corresponding to optimum combination of switches in power distribution systems. The objective function is formulated to solve the reconfiguration problem which includes minimization of real power loss. A nature inspired Grey Wolf Optimization Algorithm is utilized to restructure the power distribution system and identify the optimal switches corresponding minimum power loss in the distribution network. The GWO technique has tested on standard IEEE 33-bus and 69-bus systems and the results are presented.
Assessing Effectiveness of Research for Load Shedding in Power System
Authors: C.N. Raghu , Manjunatha A.
Published: October 2017

The research on loadshedding issues dates back to 1972 and till date many studies were introduced by the research community to address the issues. A closer review of existing techniques shows that still the effectiveness of loadshedding schemes are not yet benchmarked and majority of the existing system just considers the techniques to be quite symptomatic to either frequency or voltage. With an evolution of smart grids, majority of the controlling features of power system and networks are governed by a computational model. However, till date not enough evidences of potential computational model has been seen that claims to have better balance between the load shedding schemes and quality of power system performance. Hence, we review some significant literatures and highlights the research gap with the existing technqiues of load balancing that is meant for assisting the researcher to conclude after the selection process of existing system as a reference for future direction of study.
Dielectrophoresis Effect of Dielectric Liquids with Suspended Cellulose Impurities under DC Electric Field
Authors: Zainoddin Muhamad Hafiy Syazwan , Zainuddin Hidayat , Aman Aminudin
Published: October 2017

For decades, petroleum-based mineral oils are the insulating media conventionally used in the industry, particularly for high voltage (HV) applications. However, due to the disadvantages of mineral oils, there is growing interest in replacing these oils with environmentally friendly alternatives in order to fulfill the demanding requirements of dielectric liquids.  One of the promising substitutes for mineral oils is ester oils. Nevertheless, the implementation of ester oils is not widespread compared with mineral oils due to the lack of understanding on the performance of ester oils in HV applications. Hence, the objective of this study is to investigate the bridging phenomenon of two dielectric liquids with different viscosities: palm fatty acid ester and mineral oil under the influence of direct current electric field. The results show that oil viscosity plays an important role in the formation of cellulose bridge and breakdown behavior.
Reduction of Total Harmonic Distortion in Cascaded H-Bridge Inverter by Pattern Search Technique
Authors: N. Suresh , Rajesh Babu R. Samuel
Published: October 2017

Pattern Search technique can be used to find the solution for the optimization problem. In this paper, pattern search algorithm has been utilized to calculate the switching angles for the cascaded H-bridge inverter with  the consideration of minimizing total harmonic distortion. Mathematical equations for the optimization problem were formulated by fourier analysis technique. Lower order harmonics such as third, fifth, seventh, ninth and eleventh order harmonics were taken into account to mitigate the total harmonic distortion of the inverter. Simulations have been carried out for thirteen level, fifteen level and seventeen level cascaded H-bridge inverter using matlab software. Total harmonic distortion of voltage and current for resistive load, resistive-inductive load and motor load were analyzed.
Real-Time Fatigue Analysis of Driver through Iris Recognition
Authors: K Gopalakrishna , S.A. Hariprasad
Published: October 2017

In recent days, the driver’s fault accounted for about 77.5% of the total road accidents that are happening every day. There are several methods for the driver’s fatigue detection. These are based on the movement of the eye ball using eye blinking sensor, heart beat measurement using Electro Cardio Gram, mental status analysis using ElectroEncephaloGram, muscle cramping detection, etc. However the above said methods are more complicated and create inconvenience for the driver to drive the vehicle. Also, these methods are less accurate. In this work, an accurate method is adopted to detect the driver’s fatigue based on status of the eyes using Iris recognition and the results shows that the proposed method is more accurate (about 80%) compared to the existing methods such as Eye blink Sensor method.
Robust Video Watermarking Scheme Based on Intra-Coding Process in MPEG-2 Style
Authors: Ahuja Rakesh , Bedi S. S.
Published: October 2017

The proposed scheme implemented a semi blind digital watermarking method for video exploiting MPEG-2 standard. The watermark is inserted into selected high frequency coefficients of plain types of discrete cosine transform blocks instead of edge and texture blocks during intra coding process. The selection is essential because the error in such type of blocks is less sensitive to human eyes as compared to other categories of blocks. Therefore, the perceptibility of watermarked video does not degraded sharply. Visual quality is also maintained as motion vectors used for generating the motion compensated images are untouched during the entire watermarking process. Experimental results revealed that the scheme is not only robust to re-compression attack, spatial synchronization attacks like cropping, rotation but also strong to temporal synchronization attacks like frame inserting, deleting, swapping and averaging. The superiority of the anticipated method is obtaining the best sturdiness results contrast to the recently delivered schemes.
Query by Example of Speaker Audio Signals using Power Spectrum and MFCCs
Authors: Doungpaisan Pafan , Mingkhwan Anirach
Published: October 2017

Search engine is the popular term for an information retrieval (IR) system. Typically, search engine can be based on full-text indexing. Changing the presentation from the text data to multimedia data types make an information retrieval process more complex such as a retrieval of image or sounds in large databases. This paper introduces the use of language and text independent speech as input queries in a large sound database by using Speaker identification algorithm. The method consists of 2 main processing first steps, we separate vocal and non-vocal identification after that vocal be used to speaker identification for audio query by speaker voice. For the speaker identification and audio query by process, we estimate the similarity of the example signal and the samples in the queried database by calculating the Euclidian distance between the Mel frequency cepstral coefficients (MFCC) and Energy spectrum of acoustic features. The simulations show that the good performance with a sustainable computational cost and obtained the average accuracy rate more than 90%.
Asymmetrical Half-join Method on Dual Vision Face Recognition
Authors: Winarno Edy , Al Amin Imam Husni , Hadikurniawati Wiwien
Published: October 2017

This research proposes a model of face recognition using the method of joining two face images from left and right lens from a stereo vision camera namely half-join method. Half-join method is used in face image normalization processing. The proposed half-join method is a face images joining model, which is called asymmetrical half-join. In asymmetrical half-join method, a RoI (region of interest) of face image from left and right lenses are provided based on axis center of each eye in eye detection. The cropping of face image from asymmetrical half-join model has different width depends on eyes coordinate location. The proposed system shows that the asymmetrical half-join method can produce a better of face recognition rate. The experimental results show that the asymmetrical half-join method has a better recognition rate and computation time than single vision method and symmetrical half-join method.
Adaptive Projective Lag Synchronization of T and Lu Chaotic Systems
Authors: Tirandaz Hamed , Ahmadnia Mohsen , Tavakoli Hamid Reza
Published: October 2017

In this paper, the synchronization problem of T chaotic system and Lu chaotic system is studied. The parameter of the drive T chaotic system is considered unknown. An adaptive projective lag control method and also parameter estimation law are designed to achieve chaos synchronization problem between two chaotic systems. Then Lyapunov stability theorem is utilized to prove the validity of the proposed control method. After that, some numerical simulations are performed to assess the performance of the proposed method. The results show high accuracy of the proposed method in control and synchronization of chaotic systems.
Agricultural Management through Wireless Sensors and Internet of Things
Authors: Navulur Sridevi , S. C. S. Sastry A. , N. Giri Prasad M.
Published: October 2017

Agriculture plays a significant role in most countries and there is an enoromous need for this industry to become “Smart”. The Industry is now moving towards agricultural modernization by using modern smart technologies to find solutions for effective utilization of scarce resources there by meeting the ever increasing consumtion needs of global population. With the advent of Internet of Things and Digital transformation of rural areas, these technologies can be leveraged to remotely monitor soil moisture, crop growth and take preventive measures to detect crop damages and threats. Utilize artificial intelligence based analytics to quickly analyze operational data combined with 3rd party information, such as weather services, expert advises etc., to provide new insights and improved decision making there by enabling farmers to perform “Smart Agriculture”. Remote management of agricultural activities and their automation using new technologies is the area of focus for this research activity. A solar powered remote management and automation system for agricultural activities through wireless sensors and Internet of Things comprising, a hardware platform based on Raspberry Pi Micro controller configured to connect with a user device and accessed through the internet network. The data collection unit comprises a set of wireless sensors for sensing agricultural activities and collecting data related to agricultural parameters; the base station unit comprising: a data logger; a server; and a software application for processing, collecting, and sending the data to the user device. The user device ex: mobile, tablet etc. can be connected to an internet network, whereby an application platform (mobile-app) installed in the user device facilitates in displaying a list of wireless sensor collected data using Internet of Things and a set of power buttons. This paper is a study and proposal paper which discusses the factors and studies that lead towards this patent pending invention, AGRIPI.
Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems
Authors: Salh Adeeb , Audah Lukman , M Shah Nor Shahida , Hamzah Shipun A
Published: October 2017

Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation  allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.
The Effective Optimization Methods of Port Activity on the Basis of Algorithmic Model
Authors: Nyrkov A. , Shnurenko A. , Sokolov S. , Chernyi S. , Korotkov V.
Published: October 2017

The article considers the inland waterways (IW) within the international transport corridors as multiphase systems of mass service (SMS) and shows the distinction in calculation of the important indicator of system efficiency - the average total waiting time of vessel service in the serving subsystems, the application of genetic algorithms to increase the efficiency of reloading processes.
A Guideline Tool for Ongoing Product Evaluation in Small and Medium-Sized Enterprises
Authors: Abdulameer Salman Fouad , Deraman Aziz Bin , Abdul Jalil Masita Binti
Published: October 2017

As consumer demand for user friendly software increases, usability evaluation is crucial to develop software systems which are easy to learn and use. However, implementation of usability evaluation is challenging for small and medium-sized enterprises (SMEs) due to factors such as lack of technical expertise, knowledge and experience of methods and standards. This results in neglect, or poorly executed evaluations of projects, resulting in software that disappoints and frustrates clients. To overcome this loss of competitiveness, we propose here a visual incorporation tool derived from ISO standards that would assist software development teams in SMEs in understanding and implementing usability evaluations. It shows fundamental Usability Engineering (UE) and Software Engineering (SE) activities and artifacts relevant to the usability evaluation and software development process, with potential incorporation points being highlighted. Dependencies and relationships are shown by links between activities and artifacts. Additionally, convergent artifacts of both disciplines were identified and shown. Evaluation of the proposed tool was based on the questionnaire results of software development practitioners from SMEs.