bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Face-to-Face Training and Telephonic Reminder Improve Dry Powder Inhaler Technique in Patients with COPD?
Authors: Poudel Ramesh Sharma , Shrestha Shakti , Bhatta Pawan , Piryani Rano Mal
Published: March 2017

Introduction. Current modes of instruction on inhaler technique are inadequate. We aimed to evaluate the value of face-to-face training and telephonic reminder (FFTTR) for improving Rotahaler technique in experienced patients with COPD.Materials and Methods. A single group pre-/postinterventional study was conducted at Chitwan Medical College Teaching Hospital, Nepal. We assessed the Rotahaler technique of thirty consecutive patients using Rotahaler device for more than one year. Patients with incorrect technique (n=20) were instructed and trained by a pharmacist. Telephonic reminder was used to reinstruct patients on the correct technique on weekly basis for two weeks and technique was reassessed after 4 weeks of their first training. Descriptive statistics including Wilcoxon Signed Rank test were applied.Results. The mean age was66.06±10.6.Of 30 patients, 10 (33.3%) performed Rotahaler technique correctly at baseline and were excluded from FFTTR intervention. FFTTR corrected the technique in 18 (90%) patients and the median (IQR) score increased from 6 (5-6) to 8 (8-8) (p<0.001). The most incorrect steps were “breathe out gently but not towards the inhaler mouthpiece” (16, 80%) and “hold breath for about 10 seconds” (18, 90%) at baseline which improved after intervention.Conclusion. FFTTR approach markedly improved Rotahaler technique in patients with COPD.
Identification of IFITM1 and IFITM3 in Goose: Gene Structure, Expression Patterns, and Immune Reponses against Tembusu Virus Infection
Authors: Wang Anqi , Sun Lipei , Wang Mingshu , Jia Renyong , Zhu Dekang , Liu Mafeng , Sun Kunfeng , Yang Qiao , Wu Ying , Chen Xiaoyue , Cheng Anchun , Chen Shun
Published: March 2017

As interferon-stimulated genes (ISGs), interferon-inducible transmembrane proteins 1 and 3 (IFITM1 and IFITM3) can effectively inhibit the replication of multiple viruses. Here, goose IFITM1 and IFITM3 were cloned and identified for the first time. The two proteins share the same topological structure and several important sites critical for the antiviral functions in other species are conserved in the goose. Goose IFITM1 and IFITM3 are most closely related to their respective orthologs in ducks; these proteins exhibited high mRNA transcript levels in immune-related tissues, including the thymus, bursa of Fabricius, and Harderian gland, compared to other tissues. Moreover, goose IFITM1 was highly constitutively expressed in gastrointestinal tract tissues, while goose IFITM3 was expressed in respiratory organs. Furthermore, goose IFITM3 was activated in goose peripheral blood mononuclear cells (PBMCs) infected with Tembusu virus (TMUV) or treated with Toll-like receptors (TLRs) agonists, while only the R848 and Poly (I:C) agonists induced significant upregulation of goose IFITM1. Furthermore, goose IFITM1 and IFITM3 were upregulated in the sampled tissues, to some extent, after TMUV infection. Notably, significant upregulation of goose IFITM1 and IFITM3 was detected in the cecum and cecal tonsil, where TMUV was primarily distributed. These data provide new insights into the immune effectors in geese and promote our understanding of the role of IFITM1 and IFITM3 in the defense against TMUV.
Fractional Variational Iteration Method for Solving Fractional Partial Differential Equations with Proportional Delay
Authors: Singh Brajesh Kumar , Kumar Pramod
Published: March 2017

This paper deals with an alternative approximate analytic solution to time fractional partial differential equations (TFPDEs) with proportional delay, obtained by using fractional variational iteration method, where the fractional derivative is taken in Caputo sense. The proposed series solutions are found to converge to exact solution rapidly. To confirm the efficiency and validity of FRDTM, the computation of three test problems of TFPDEs with proportional delay was presented. The scheme seems to be very reliable, effective, and efficient powerful technique for solving various types of physical models arising in science and engineering.
Modification of Food Systems by Ultrasound
Authors: Carrillo-Lopez L. M. , Alarcon-Rojo A. D. , Luna-Rodriguez L. , Reyes-Villagrana R.
Published: March 2017

This review describes the mechanism, operation, and recent potential applications of ultrasound in various food systems, as well as the physical and chemical effects of ultrasound treatments on the conservation and modification of different groups of food. Acoustic energy has been recognized as an emerging technology with great potential for applications in the food industry. The phenomenon of acoustic cavitation, which modifies the physical, chemical, and functional properties of food, can be used to improve existing processes and to develop new ones. The combination of ultrasonic energy with a sanitizing agent can improve the effect of microbial reduction in foods and, thereby, their quality. Finally, it is concluded that the use of ultrasound in food is a very promising area of research; however, more research is still needed before applying this technology in a wider range of industrial sectors.
Mode of Delivery according to Leisure Time Physical Activity before and during Pregnancy: A Multicenter Cohort Study of Low-Risk Women
Authors: Nielsen Emilie Nor , Andersen Per Kragh , Hegaard Hanne Kristine , Juhl Mette
Published: March 2017

Objectives. To examine the association between maternal leisure time physical activity and mode of delivery.Study Design. Population-based multicentre cohort. From the Danish Dystocia Study, we included 2,435 nulliparous women, who delivered a singleton infant in cephalic presentation at term after spontaneous onset of labor in 2004-2005. We analysed mode of delivery according to self-reported physical activity at four stages, that is, the year before pregnancy and during first, second, and third trimester, in logistic regression models. Further, we combined physical activity measures at all four stages in one variable for a proportional odds model for cumulative logits.Main Outcome Measures. Mode of delivery (emergency caesarean section; vacuum extractor; spontaneous vaginal delivery).Results. The odds of emergency caesarean section decreased with increasing levels of physical activity with statistically significant trends at all four time stages except the third trimester. This tendency was confirmed in the proportional odds model showing 28% higher odds of a more complicated mode of delivery among women with a low activity level compared to moderately active women.Conclusions. We found increasing leisure time physical activity before and during pregnancy associated with a less complicated delivery among low-risk, nulliparous women.
Retrospective Study Looking at Cinacalcet in the Management of Hyperparathyroidism after Kidney Transplantation
Authors: Mawad Habib , Bouchard Hugues , Tran Duy , Ouimet Denis , Lafrance Jean-Philippe , Bell Robert Zoël , Bezzaoucha Sarah , Boucher Anne , Collette Suzon , Pichette Vincent , Senécal Lynne , Vallée Michel
Published: March 2017

Objectives.The primary objective of this study is to evaluate the use of cinacalcet in the management of hyperparathyroidism in kidney transplant recipients. The secondary objective is to identify baseline factors that predict cinacalcet use after transplantation.Methods.In this single-center retrospective study, we conducted a chart review of all patients having been transplanted from 2003 to 2012 and having received cinacalcet up to kidney transplantation and/or thereafter.Results.Twenty-seven patients were included with a mean follow-up of2.9±2.4years. Twenty-one were already taking cinacalcet at the time of transplantation. Cinacalcet was stopped within the first month in 12 of these patients of which 7 had to restart therapy. The main reason for restarting cinacalcet was hypercalcemia. Length of treatment was23±26months. There were only 3 cases of mild hypocalcemia. There was no statistically significant association between baseline factors and cinacalcet status a year later.Conclusions.Discontinuing cinacalcet within the first month of kidney transplantation often leads to hypercalcemia. Cinacalcet appears to be an effective treatment of hypercalcemic hyperparathyroidism in kidney transplant recipients. Further studies are needed to evaluate safety and long-term benefits.
Wind Turbine Blade Monitoring with Brillouin-Based Fiber-Optic Sensors
Authors: Coscetta Agnese , Minardo Aldo , Olivares Lucio , Mirabile Maurizio , Longo Mario , Damiano Michele , Zeni Luigi
Published: March 2017

Wind turbine (WT) blade is one of the most important components in WTs, as it is the key component for receiving wind energy and has direct influence on WT operation stability. As the size of modern turbine blade increases, condition monitoring and maintenance of blades become more important. Strain detection is one of the most effective methods to monitor blade conditions. In this paper, a distributed fiber-optic strain sensor is used for blade monitoring. Preliminary experimental tests have been carried out over a 14 m long WT composite blade, demonstrating the possibility of performing distributed strain and vibration measurements.
A Simulation Study for Trimetallic Nanosized Alloy (Ni, Cu, and Ag) in Hydrogenation of Organic Compounds: A Case Study of “Nitrophenols”
Authors: Bawaked Salem M. , Abd El Maksod Islam Hamdy , Alshehri Abdulmohsen
Published: March 2017

Trimetallic system (Ni, Cu, and Ag) supported on alumina was utilized for hydrogenation of nitrophenols. The catalytic active centers for hydrogenation were attributed only to the presence of Ni. However, the presence of bi- or trimetallic systems improves the catalytic activity via extra synergism. The catalytic activity was measured as the time for reaching 100% conversion. The function of synergism was fitted for both bimetallic systems (Ni:Ag; Ni:Cu) individually. Subsequently, three-dimensional function was fitted for trimetallic system (Ni:Cu:Ag) based on the linear combination of data for individual bimetallic system. After a complex calculation areal function was evaluated. An Excel program was written to simply evaluate the catalytic activity of trimetallic system with high accuracy. Characterization of catalysts was performed using EPR and pulsed chemisorption by hydrogen. These characterizations of samples enable us to evaluate particle size, metallic surface area, and degree of dispersion. These values were successfully correlated with the synergism function. The program written then could be capable of predicting these values for any trimetallic system.
Online Behavior Analysis-Based Student Profile for Intelligent E-Learning
Authors: Liang Kun , Zhang Yiying , He Yeshen , Zhou Yilin , Tan Wei , Li Xiaoxia
Published: March 2017

With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.
Management of Diabetic Macular Edema
Authors: Moisseiev Elad , Loewenstein Anat
Published: March 2017

Diabetic macular edema is a common condition frequently encountered by ophthalmologists. In this piece we briefly review its definition, pathogenesis, clinical aspects, imaging, and treatment.
Internal On-line Partial Discharge Analysis of 68.75 MVA Generator Stator Winding Insulation
Authors: Waluyo Waluyo , Saodah Siti , Hidayatullah Eltha
Published: March 2017

Partial discharge is a phenomenon of electron ionization occurs due to concentrated electric field in a different edge plane. This phenomenon will be investigated by an electric field measurement in a measuring point. The internal partial discharge will give the insulation damage effect on a generator stator winding due to void existence. This manuscript presents the measurement results of the on-line internal partial discharge on the stator winding insulation of 68.75 MVA generator. It used the resistant temperature detector method and CM2000TM. The results were classified into three conditions based on the voids in the generator stator insulation, the internal delamination and the surface discharge.
Decomposition-Coordinating Method for Parallel Solution of a Multi-area Combined Economic Emission Dispatch Problem
Authors: Krishnamurthy Senthil , Tzoneva Raynitchka
Published: March 2017

Multi-area Combined Economic Emission Dispatch (MACEED) problem is an optimization task in power system operation for allocating the amount of generation to the committed units within the system areas. Its objective is to minimize the fuel cost and the quantity of emissions subject to the power balance, generator limits, transmission line and tie-line constraints. The solutions of the MACEED problem in the conditions of deregulation are difficult, due to the model size, nonlinearities, and the big number of interconnections, and require intensive computations in real-time. High-Performance Computing (HPC) gives possibilities for the reduction of the problem complexity and the time for calculation by the use of parallel processing techniques for running advanced application programs efficiently, reliably and quickly. These applications are considered as very new in the power system control centers because there are not available optimization methods and software based on them that can solve the MACEED problem in parallel, paying attention to the existence of the power system areas and the tie-lines between them. A decomposition-coordinating method based on Lagrange’s function is developed in this paper. Investigations of the performance of the method are done using IEEE benchmark power system models.
Monitoring of Landslides in Mountainous Regions based on FEM Modelling and Rain Gauge Measurements
Authors: Gian Quoc-Anh , Nguyen Dinh-Chinh , Tran Duc-Nghia , Tran Duc-Tan
Published: March 2017

Vietnam is a country heavily inﬂuenced by climate change. The effect of climate change leads to a series of dangerous phenomena, such as landslides. Landslides occur not only in the mountainous province, but also in Delta provinces, where hundreds of landslides are reported annually in the North-Western provinces of Vietnam. These events have catastrophic impact to the community as well as the economy. In mountainous areas, the conditions for landslides to occur are met frequently, especially after heavy rains or geological activity, causing harm to the community as well as damaging or destroying much needed infrastructure and key transport routes. However, in Vietnam, investment in mountainous regions has been often lower than in urban areas. The meteorology monitoring and forecasting systems are ill equipped and overloaded, so they cannot deliver earlier and more accurate forecasts for complex weather events, unable to provide timely warnings. It can be seen that in countries that landslide often occur, researchers have been trying to develop low cost and efficient landslide detection system. This paper precisely addressed the problems mentioned, by designing and implementing an efficient and reliable Landslide Monitoring and Early Warning (LMnE) system based on the 3G/2G mobile communication system, and a rain gauge at the field site along with a carefully FEM (finite element method) simulation using the rain density information on the server. The system uses advanced processing algorithms combining obtained data at the central station.
ENPP: Extended Non-preemptive PP-aware Scheduling for Real-time Cloud Services
Authors: Hoseini Fereshteh , Arani Mostafa Ghobaei , Taghizadeh Alireza
Published: March 2017

By increasing the use of cloud services and the number of requests to processing tasks with minimum time and costs, the resource allocation and scheduling, especially in real-time applications become more challenging. The problem of resource scheduling, is one of the most important scheduling problems in the area of NP-hard problems. In this paper, we propose an efficient algorithm is proposed to schedule real-time cloud services by considering the resource constraints. The simulation results show that the proposed algorithm shorten the processing time of tasks and decrease the number of canceled tasks.
Analysis and Comparison of SMAC and TMAC Protocol for Energy Efficient Dynamic Topology in Sensor Network
Authors: Samant Tapaswini , Datta Amlan
Published: March 2017

In the era of wireless communication, wireless sensor is one of the best technologies we are witnessing. In case of environmental monitoring, tactical systems and different tracking applications, wireless sensors are being used. Here, the corresponding nodes operate on incomplete power and thus the energy comes into play to operate these entire networks. Managing the energy and its utilization is vital for TCP/IP protocol suite which is MAC layer’s application. Thus keeping in mind the above challenges, the techniques used are increasing the sleep duration, over hearing and ideal listening, collision of packet and eliminating hidden terminal problem. This paper is oriented towards the comparison of energy consumption by SMAC and TMAC protocol. The characteristics of TMAC and SMAC protocols were explored keeping real transmission conditions intact, like variable transmission bit rate, dynamic topology and mobile sensors in network. TMAC and SMAC protocols are contention based protocols and are designed to keep the energy consumption low using duty cycle.
Image Segmentation Based on Doubly Truncated Generalized Laplace Mixture Model and K Means Clustering
Authors: Jyothirmayi T , Srinivasa Rao K , Srinivasa Rao P , Satyanarayana Ch
Published: March 2017

The present paper aims at performance evaluation of Doubly Truncated Generalized Laplace Mixture Model and K-Means clustering (DTGLMM-K) for image analysis concerned to various practical applications like security, surveillance, medical diagnostics and other areas. Among the many algorithms designed and developed for image segmentation the dominance of Gaussian Mixture Model (GMM) has been predominant which has the major drawback of suiting to a particular kind of data. Therefore the present work aims at development of DTGLMM-K algorithm which can be suitable for wide variety of applications and data. Performance evaluation of the developed algorithm has been donethrough various measures like Probabilistic Rand index (PRI), Global Consistency Error (GCE) and Variation of Information (VOI). During the current work case studies forvarious different images having pixel intensities has been carried out and the obtained results indicate the superiority of the developed algorithm for improved image segmentation.
Performance Analysis of Cooperative Hybrid Cognitive Radio Network with Various Diversity Techniques
Authors: Preetham C.S. , Prasad M.S.G. , Saranya D.S.S.L. , Somepalli Charan Teja , Sai Krishna D. Bhargava Satya , Rohit V.
Published: March 2017

The extensive growth in wireless communications leads to spectrum scarcity. Since the spectrum is limited spectrum usage is clogged. The best possible solution is usage of cognitive radio. A cognitive radio network with sender, receiver and intermediate devices as relays is analyzed. The channel is modelled with noise considerations, path loss and variance. The system is defined with one primary sender and one primary receiver, in between them five secondary users and two active users. The signals from all these paths are estimated and analyzed to draw the best signal with good signal to noise ratio (SNR). To improve the channel efficiency and quality, we have considered various diversity techniques for which the fading problem of channel can be eliminated. In view of this, we concentrated on improving the system performance with various diversity techniques and optimum weight adaptation concept.
A Novel Approach to PID Controller Design for Improvement of Transient Stability and Voltage Regulation of Nonlinear Power System
Authors: Chaudhary Rekha , Singh Arun Kumar , Agrawal Saligram
Published: March 2017

In this paper, a novel design method for determining the optimal PID controller parameters for non-linear power system using the particle swarm optimization (PSO) algorithm is presented. The direct feedback linearization (DFL) technique is used to linearize the nonlinear system for computing the PID (DFL-PID) controller parameters. By taking an example of single machine infinite bus (SMIB) power system it has been shown that PSO based PID controller stabilizes the system and restores the pre-fault system performance after fault is cleared and line is restored. The performance of this controlled system is compared with the performance of DFL-state feedback controlled power system. It has been shown that the performance of DFL-PID controlled system is superior compared to DFL-state feedback controlled system. For simulation MATLAB 7 software is used. 
A New Phase Current Profiling with FLC f or Torque Optimization of 12/8 SRM
Authors: Saidani Sihem , Hachicha Mohamed Radhouan , Ghariani Moez
Published: March 2017

The switched reluctance machine against its several merits such as simplicity, robustness, less cost manufacturing and large speed still suffers from its undesirable torque ripple and acoustic noise. Compared to different candidates of hybrid and electric vehicle engine, the frequency of use of SRM in traction drives is improved with the different optimizing torque oscillation solutions. Most of studies used the generic or specific model of switched reluctance machine in the Simulink library (6/4,8/6 and 10/8). Despite, a new non linear model simply implemented in Simulink tool usinga static finite element analysis a previous study is used in this work. Hence, a 12/8 non linear SRM drive system is simulated using MATLAB toolbox tested with an intelligent controller (FLC) in order to minimize the torque ripple of an oriented starter –alternator application of a hybrid vehicle.
Experimental and Simulation Studies of Thermal Distribution on Modified Connector of Li-Ion Battery for Electric Vehicles Application
Authors: Risdiyanto Agus , Khayam Umar , A. Rachman Noviadi , Arifin Maulana
Published: March 2017

One of the several failure cases in electric vehicle could be occured at the Lithium-ion (Li-ion) battery connectors when loaded by high current. This failure caused by bad contact of connectors so that the contact resistance increase and lead to high power losses, overheating, and it can even cause a fire hazard. This paper presents a thermal distributions of  Li-ion battery connectors on different coating material in relation to the value of contact resistance. There were two test samples of modeled: copper connection without coating and copper connection with silver coating. Each sample was loaded by the DC current of 350A, and temperature at the connection was measured until steady state condition reached and simulated by Solidwork software. The results show that the temperature at the inside contact area was higher than the outside contact area of connection that appears caused by higher of the contact resistance. Both measurement and simulation results have same tendency that copper connection with silver coating having lower contact resistance, lower maximum temperature, and lower losses about 32 % than copper connection without  coating. Silver coating can be considered as other alternative to prevent overheating, high losses, and failure in Li-ion battery connector.
Circuit Models of Lossy Multic onductor Transmission Lines: Incident Plane Wave Effect
Authors: Mohamed Saih , Hicham Rouijaa , Abdelilah Ghammaz
Published: March 2017

In this paper, we concentrate on the variety impacts of incident plane wave on multiconductor transmission lines, utilizing Branin’s method, which is alluded to as the method of characteristics. The model can be directly used for the time-domain and frequency-domain analyses, Moreover,  it had the advantage of being used without the need of setting the  preconditions of  the  charges  applied  to  its  ends; this permits it to be effortlessly embedded in circuit simulators, for example Spice, Saber, and Esacap. This model validity is affirmed by contrasting our simulation results under ESACAP and different results, and we will talk about variety impacts of incident plane wave.
Stochastic Approach to a Rain Attenuation Time Series Synthesizer for Heavy Rain Regions
Authors: Mohebbi Nia Masoud , Din Jafri , Yin Lam Hong , D. Panagopoulos Athanasios
Published: March 2017

In this work, a new rain attenuation time series synthesizer based on the stochastic approach is presented. The model combines a well-known interest-rate prediction model in finance namely the Cox-Ingersoll-Ross (CIR) model, and a stochastic differential equation approach to generate a long-term gamma distributed rain attenuation time series, particularly appropriate for heavy rain regions. The model parameters were derived from maximum-likelihood estimation (MLE) and Ordinary Least Square (OLS) methods. The predicted statistics from the CIR model with the OLS method are in good agreement with the measurement data collected in equatorial Malaysia while the MLE method overestimated the result. The proposed stochastic model could provide radio engineers an alternative solution for the design of propagation impairment mitigation techniques (PIMTs) to improve the Quality of Service (QoS) of wireless communication systems such as 5G propagation channel, in particular in heavy rain regions.
Emotional Facial Expression Based On Action Units and Facial Muscle
Authors: Basori Ahmad Hoirul , AlJahdali Hani Moaiteq Abdullah
Published: March 2017

The virtual human play vital roles in virtual reality and game. The process of Enriching the virtual human through their expression is one of the aspect that most researcher studied and improved. This study aims to demonstrate the combination of facial action units (FACS) and facial muscle to produce a realistic facial expression. The result of experiment succeed on producing particular expression such as anger, happy, sad which are able to convey the emotional state of the virtual human. This achievement is believed to bring full mental immersion towards virtual human and audience. The future works will able to generate a complex virtual human expression that combine physical factos such as wrinkle, fluid dynamics for tears or sweating.
Environment Friendly Voltage Up-gradation Model for Distribution Power Systems
Authors: Nithiyananthan K. , Umasankar Umasankar
Published: March 2017

The main aim of this research work is to analyze and develop voltage up gradation procedure model for effective & economic power distribution in urban and suburban area. Voltage up gradation from 6.6KV to 11KV of the distribution power system network has been considered for the proposed research work. Electric power consumption has been increasing uninterruptedly, being this increase specially accelerated in the last few years. Nowadays electric lines are saturated; they are reaching critical values of ampere capacity and sag. Therefore, building new lines has been necessary to provide the ever increasing consumption.  The difficulty to find new corridors to construct new distribution lines, underground cables is increasing in cities, industrial areas and in many cases it is simply impossible. The construction of new electric lines is increasing difficulty, thus there is a need to look at alternatives that increases the power transfer capacity. Voltage up gradation of the existing electric cables/lines of the distribution system is the most viable solution and it stresses on the savings of power due to a reduction in system losses when the voltage is high. The proposed research work is to develop and analyze voltage up gradation procedures and protocols for converting 6.6KV network into 11KV network in a distributed system. It also takes into account the expenses incurred in the process and the various other important constraints.
Trends In Task Allocation For Multicore System
Authors: Sundar Rajan Arun Kumar , Vasudevan Shriram K , M Nirmala Devi
Published: March 2017

As the functionality in real-time embedded systems becoming complex, there has been a demand for higher computation capability, exploitation of parallelism and effective usage of the resources. Further, technological limitations in uniprocessor in terms of power consumption, instruction level parallelism reaching saturation, delay in access of memory blocks; directed towards emergence of multicore. Multicore design has its challenges as well. Increase in number cores has raised the demand for proper load distribution, parallelizing existing sequential codes, enabling effective communication and synchronization between cores, memory and I/O devices. This paper brings out the demand for effective load distribution with analyzes and discussion about the various task allocation techniques and algorithms associated with decentralized task scheduling technique for multicore systems. This paper also addresses on the multithreaded architecture, where parallel tasks are formulated from sequential code blocks and finally on the techniques to parallelize the sequential code block.
Using Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP) to Mine Frequent Patterns
Authors: Spits Warnars Harco Leslie Hendric
Published: March 2017

Frequent patterns in Attribute Oriented Induction High level Emerging Pattern (AOI-HEP), are recognized when have maximum subsumption target (superset) into contrasting (subset) datasets (contrasting ⊂ target) and having large High Emerging Pattern (HEP) growth rate and support in target dataset. HEP Frequent patterns had been successful mined with AOI-HEP upon 4 UCI machine learning datasets such as adult, breast cancer, census and IPUMS with the number of instances of 48842, 569, 2458285 and 256932 respectively and each dataset has concept hierarchies built from its five chosen attributes. There are 2 and 1 finding frequent patterns from adult and breast cancer datasets, while there is no frequent pattern from census and IPUMS datasets. The finding HEP frequent patterns from adult dataset are adult which have government workclass with an intermediate education (80.53%) and America as native country(33%). Meanwhile, the only 1 HEP frequent pattern from breast cancer dataset is breast cancer which have clump thickness type of AboutAverClump with cell size of VeryLargeSize(3.56%). Finding HEP frequent patterns with AOI-HEP are influenced by learning on high level concept in one of chosen attribute and extended experiment upon adult dataset where learn on marital-status attribute showed that there is no finding frequent pattern.
A New Paradigm for Development of Data Imputation Approach for Missing Value Estimation
Authors: G Madhu , G Nagachandrika
Published: March 2017

Many real-world applications encountered a common issue in data analysis is the presence of missing data value and challenging task in many applications such as wireless sensor networks, medical applications and psychological domain and others. Learning and prediction in the presence of missing value can be treacherous in machine learning, data mining and statistical analysis. A missing value can signify important information about dataset in the mining process. Handling missing data value is a challenging task for the data mining process. In this paper, we propose new paradigm for the development of data imputation method for missing data value estimation based on centroids and the nearest neighbours. Firstly, identify clusters based on the k-means algorithm and calculate centroids and the nearest neighbour data records. Secondly, the nearest distances from complete dataset as well as incomplete dataset from the centroids and estimated the nearest data record which tends to be curse dimensionality. Finally, impute the missing value based nearest neighbour record using statistical measure called z-score. The experimental study demonstrates strengthen of the proposed paradigm for the imputation of the missing data value estimation in dataset. Tests have been run using different types of datasets in order to validate our approach and compare the results with other imputation methods such as KNNI, SVMI, WKNNI, KMI and FKNNI. The proposed approach is geared towards maximizing the utility of imputation with respect to missing data value estimation.
Evaluation of Various Digital Controllers for Forward Converter with Active Clamp
Authors: Janga Ravindra , Malaji Sushama
Published: March 2017

This research paper presents the design issues of digital Controllers for Forward Converter with Active Clamp circuit (ACFC). Brief review of Working Principle and mathematical modelling of the converter is first given. The importance of Digital Controllers for forward converter and design procedure is described in detail. And the validity of designed controllers and achievement of desired compensation is verified by the results of implemented digital controllers to Active clamp forward Converter (ACFC). Finallly results are analyzed by applying disturbances at both supply end and Load ends of the converter. And the conclusions are made based on obtained results of Voltage Mode Controller (VMC) by comparing with the results of the Current Mode Controller (CMC).
Signature Verification using Normalized Static Features and Neural Network Classification
Authors: Trikha Manish , Singhal Manas , Dutta Maitreyee
Published: March 2017

Signature verification is very widely used in verification of the identity of any person. Now a days other biometric verification system has been evolved very widely like figure print, iris etc., but signature verification through computer system is still in development phase. The verification system is either through offline mode or online mode in online systems the dynamic information of a signature captured at the time the signature is made while in offline systems based on the scanned image of a signature. In this paper, a method is presented for Offline signatures Verification, for this verification system signature image is first pre-processed and converted into binary image of same size with 200x200 Pixels and then different features are extracted from the image like Eccentricity, Kurtosis, Skewness etc. and that features are used to train the neural network using back-propagation technique. For this verification system 6 different user signatures are taken to make database of the feature and results are analysed. The result demonstrate the efficiency of the proposed methodology when compared with other existing studies. The proposed algorithm gives False Acceptance Rate (FAR) as 5.05% and False Rejection rate (FRR) as 4.25%.
Adaptive Online Module Prototype for Learning Unified Modelling Language (UML)
Authors: Hidayat Arief , Utomo Victor Gayuh
Published: March 2017

Every student has their own learning style. Some students may prefer to read the learning material while some other students may prefer to discuss with their colleagues to help them understanding the information more effectively. One of the learning materials is Unified Modeling Language or UML. UML is an industry standard language to specify, visualize, construct, and document the artifacts of software systems. Today, many UML online learning sites are designed to give added information to students other than face-to-face interaction in the classroom. However, most of UML materials provided by the online learning resources are limited to text-based material which is suitable only for students with verbal learning styles. This research aims to identify and analyze the needs before developing a prototype of an adaptive online module. The research is also driven by the need to develop a prototype of adaptive online module that is based on the student's learning style categories in order to help students understand UML better. The result of this research is a prototype of adaptive online module which will identify students' learning styles and lead the students to learning environment that suits their learning style.
Report on Power Compensation and Total Harmonic Distortion level Analysis
Authors: Ramesh Kalaskar Nikita , Holmukhe Rajesh
Published: March 2017

In the chart of Indian science based industry, pharmaceutical industry is on top position. So it is essential to fulfil such critical requirement or demand, production should be with high speed. For such high production, using of software based machineries, electronic circuits are been used. By using such electronic based equipment’s and machineries, it is obvious day by day increasing non-linear load of the industry which lead to lagging power factor. In electric system nonlinear load with low power factor draws more current from source. So because of such high current drawn, life of switchgear, wire and other electrical equipment decreases. So due to large equipment and wasted energy, the electrical utilities company usually charge a higher cost to industrial customer for the constant logging power factor. To improving the lagging power factor, industry may prefer to install capacitor bank in series. But installation of capacitor power bank leads to the increment of total harmonics distortion level. In common plant, containing power factor correction capacitor, It is been seen that normal resonant frequency falls normally in the range of 5th to 13th harmonics. So this non-linear load leads to inject current at 5th, 7th, 11th and 13th harmonics. It will usually result on producing the problems with switchgears, damaged capacitor banks and failure to the electrical distribution system.
Retinal Area Segmentation using Adaptive Superpixalation and its Classification using RBFN
Authors: Singh Nimisha , Gill Rana
Published: March 2017

Retinal disease is the very important issue in medical field. To diagnose the disease, it needs to detect the true retinal area. Artefacts like eyelids and eyelashes are come along with retinal part so removal of artefacts is the big task for better diagnosis of disease into the retinal part.  In this paper, we have proposed the segmentation and use machine learning approaches to detect the true retinal part. Preprocessing is done on the original image using Gamma Normalization which helps to enhance the image  that can gives detail information about the image. Then the segmentation is performed on the Gamma Normalized image by Superpixel method. Superpixel is the group of pixel into different regions which is based on compactness and regional size. Superpixel is used to reduce the complexity of image processing task and provide suitable primitive image pattern. Then feature generation must be done and machine learning approach helps to extract true retinal area. The experimental evaluation gives the better result with accuracy of 96%.
Protection Coordination and Anti Islanding Protection Solution for Biomass Power Plant Connected on Distribution Network
Authors: Nikolovski Srete N , Vukobratović Marko , Majdandzic Ljubomir
Published: March 2017

Protection coordination as well as anti-island protection play significant role in the process of biomass power plant connection on the distribution network. Distribution generation island operation in Croatia is unacceptable according to the existing National grid code Paper presents a protection coordination of all passive protections used in the real biomass power plant and connected distriubution network feeder. Short-circuits three phase, two phase and single line to ground faults and generator islanding simulations have been performed and simulated in the time domain at the different network  locations using DIgSILENT Power Factory software. The time-current plots coordination of protective devices are made using Smart PDC module in Easy Power Protector software tool.
Analysis of Open Stub Resonator and its Application in Dual Isolation Band of SPDT Switch Design
Authors: Algumaei M. Y. , Shairi N. A. , Zakaria Z. , Zobilah A. M. S. , Ahmad B. H.
Published: March 2017

In this paper, an analysis of open stub resonator is presented and its application in dual isolation band of Single Pole Double Throw (SPDT) switch is proposed. A mathematical model and the characteristic of the bandstop of the resonator were analyzed and discussed. The open stub resonator was implemented using the microstrip transmission line and able to switch between bandstop and allpass responses. Frequency bands of 2.3 and 3.5 GHz were chosen to demonstrate the dual isolation band in the switch design. The performance results of the SPDT switch showed that the isolation was greater than 30 dB, return loss was greater than 10 dB and insertion loss less than 2 dB at the center resonant frequency of 2.3 and 3.5 GHz. The potential application of the proposed dual isolation band of SPDT switch is for multi band RF front-end system such as WiMAX, LTE, WiFi and HyperLAN.
Structural Equation Modeling to Analyze Person-Organization Fit and Organizational Effectiveness
Authors: Teimouri Hadi , Jenab Kouroush , Rafei Somaye , Yonespoor Maryam
Published: March 2017

Efficient management and leadership can be achieved via precise planning for selection, recruitment, and optimization of the labor force. One of the major goals in labor force selection and recruitment is the fit between people and an organization. This phenomenon is known as person-individual fit. In this research, the authors collected data via a survey aimed at exploring the relationship between person-individual fit and organizational effectiveness at the University of Isfahan. The research hypotheses were tested through variables such as environmental congruence, KSA (knowledge/skills/abilities) congruence, goals congruence, values congruence, and personality congruence, as dimensions of person-individual fit. The aim of this study is developing and practical and from the procedure implemented is introducing-analyzing. The sample studied in this study is the mangers and employers of the university in Isfahan. A stratified random sampling method was used based the Morgan table and a sample size of 120 was chosen from among 150 persons. The results revealed that there is a significant relationship between dimensions of person-individual fit and organizational effectiveness.
Low Common-Mode Gain Instrumentation Amplifier Architecture Insensitive to Resistor Mismatches
Authors: Abidin Zainul , Tanno Koichi , Mago Shota , Tamura Hiroki
Published: March 2017

In this paper, an instrumentation amplifier architecture for biological
signal is proposed. First stage of conventional IA architecture was modified
by using fully balanced differential difference amplifier and evaluated by
using 1P 2M 0.6μm CMOS process. From HSPICE simulation result, lower
common-mode voltage can be achieved by proposed IA architecture.
Actual fabrication was done and six chips were evaluated. From the evaluation result, average common-mode gain of proposed IA architecture
is 10.84 dB lower than that of conventional one without requiring
well-matched resistors. Therefore, the proposed IA architecture
is suitable for biological signal processing.
Robust Controller for a Vision Feedback Based Telepointer
Authors: Abdul Kader Shah Newaz Mohammad , Mustafa Mohd. Marzuki , Hussain Aini
Published: March 2017

Telepointer is a very useful tool for teleconsultation and teleproctoring, whereby a telepointer via teleconferencing is a perfect example of computer-supported cooperative work (CSCW) and digital telepresence. To this end, many telepointers are introduced for digital telepresence. However, there are still concerns regarding the speed of response and robustness of the system. It is rather difficult to model the actual system in order to design the controller. This paper described the development of a telepointer and its controller for a real time communication using vision feedback. The main focus of this study was to control the Laser Pointer (LP) with a discrete time PID (proportional–integral–derivative) controller which was tuned using Ziegler-Nichols (ZN) method. The results indicated that the tuned controller bring about fast response with no overshoot and steady state errors at the output response. The controller was shown to be robust against changes in sampling time and external disturbance.
Analytical Estimation of the Electrostatic Field in Cylinder-Plane and Cylinder-Cylinder Electrode Configurations
Authors: Fylladitakis Emmanouil D. , Moronis Antonios X. , Theodoridis Michael
Published: March 2017

This work presents analytical formulas for the estimation of the electrostatic field in cylinder-plane and cylinder-cylinder electrode configurations. Assuming a predefined potential difference between the electrodes and given their geometrical characteristics, these could be useful for the solution of numerous problems involving such electrode sets. Moreover, the voltage distribution around the electrodes is defined by providing equations either for the equipotentials at a given voltage ratio, or the exact estimation of the potential at any point in the surrounding space. Simplified expressions for critical engineering parameters such as the peak electric field and the field enhancement factor are also given.
A Novel Human STR Similarity Method using Cascade Statistical Fuzzy Rules with Tribal Information Inference
Authors: Widyanto M. Rahmat , N. Hartono Reggio , Soedarsono Nurtami
Published: March 2017

A novel human STR (Short Tandem Repeat) similarity method using cascade statistical fuzzy rules with tribal information inference is proposed. The proposed method consists of two cascade Fuzzy Inference Systems (FIS). The first FIS is to discriminate the tribal similarity, and the second FIS is to calculate the STR similarity. By using the allele marker’s statistical distribution probability density function as the membership function in the Fuzzy Rules of the first FIS, the new method makes it possible to tell the tribal similarity between two STR profiles. A 727 data acquired from tribal groups of Indonesia is used to examine the method produced promising result, being able to indicate higher tribal similarity score within a tribal group and lower similarity between tribal groups. In the light of Indonesia’s diverse tribal groups, these properties are able to be leveraged as a new way to improve the versatility of existing DNA matching algorithm.
Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones
Authors: Bhutto Zuhaibuddin , Park Jun-Hyuk , Yoon Wonyong
Published: March 2017

Cellular networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real commercial network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients.