bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effectiveness of Action Observation Therapy Based on Mirror Neuron Theory in Chinese Patients with Apraxia of Speech after Stroke
Authors: You Li , Wang Yao , Chen Wenli , Zhang Sicong , Rao Jiang , Liu Li , Shan Chunlei
Published: October 2019

Objective: The present study aimed to evaluate the efficacy of action observation therapy (AOT) on apraxia of speech (AOS) in patients after stroke. Materials and Methods: Forty-two patients diagnosed with AOS after stroke were randomly divided into an experimental group (n = 21) and a control group (n = 21). Both groups received 30 min of conventional language therapy twice daily, 5 days a week for 4 weeks. The patients in the experimental group additionally received 20 min of AOT before 10 min language therapy each day. The speech function and aphasia severity of the 2 groups were assessed using the speech apraxia assessment method of the China Rehabilitation Research Center, Western Aphasia Battery (WAB), and the Boston Diagnostic Aphasia Examination before and after treatment. Results: AOS and WAB scores increased significantly after treatment in both groups (p < 0.05). AOS and WAB scores exhibited significant differences between the experimental group and the control group after training (p < 0.05). The response rate in the experimental group was significantly higher than that in the control group (p < 0.05). Conclusion: AOT based on mirror neuron theory may improve language function in patients with AOS after stroke.
Outcomes of Patients with Central Precocious Puberty Due to Loss-of-Function Mutations in the MKRN3 Gene after Treatment with Gonadotropin-Releasing Hormone Analog
Authors: Ramos Carolina de Oliveira , Macedo Delanie B. , Canton Ana Pinheiro M. , Cunha-Silva Marina , Antonini Sonir R.R. , Stecchini Monica Freire , Seraphim Carlos Eduardo , Rodrigues Tania , Mendonca Berenice Bilharinho , Latronico Ana Claudia , Brito Vinicius Nahime
Published: October 2019

Introduction: Loss-of-function mutation of MKRN3 represents the most frequent genetic cause of familial central precocious puberty (CPP). The outcomes of gonadotropin-releasing hormone analog (GnRHa) treatment in CPP patients with MKRN3 defects are unknown. Objective: To describe the clinical and hormonal features of patients with CPP with or without MKRN3 mutations after GnRHa treatment. Anthropometric, metabolic and reproductive parameters were evaluated. Patients and Methods: Twenty-nine female patients with CPP due to loss-of-function mutations in the MKRN3 and 43 female patients with idiopathic CPP were included. Their medical records were retrospectively evaluated for clinical, laboratory, and imaging study, before, during, and after GnRHa treatment. All patients with idiopathic CPP and 11 patients with CPP due to MKRN3 defects reached final height (FH). Results: At the diagnosis, there were no significant differences between clinical and laboratory features of patients with CPP with or without MKRN3 mutations. A high prevalence of overweight and obesity was observed in patients with CPP with or without MKRN3 mutations (47.3 and 50%, respectively), followed by a significant reduction after GnRHa treatment. No significant differences in the values of mean FH and target height were found between the 2 CPP groups after GnRHa treatment. Menarche occurred at the expected age in patients with or without CPP due to MKRN3 mutations (11.5 ± 1.3 and 12 ± 0.6 years, respectively). The prevalence of polycystic ovarian syndrome was 9.1% in patients with CPP due to MKRN3 mutations and 5.9% in those with idiopathic CPP. Conclusion: Anthropometric, metabolic, and reproductive outcomes after GnRHa treatment were comparable in CPP patients, with or without MKRN3 mutations, suggesting the absence of deleterious effects of MKRN3 defects in young female adults’ life.
Three-dimensional structure from motion recovery of a moving object with noisy measurement
Authors: Mejri Zoubaida , Sidhom Lilia , Abdelkrim Afef
Published: October 2019

In this paper, a Nonlinear Unknown Input Observer (NLUIO) based approach is proposed for three-dimensional (3-D) structure from motion identification. Unlike the previous studies that require prior knowledge of either the motion parameters or scene geometry, the proposed approach assumes that the object motion is imperfectly known and considered as an unknown input to the perspective dynamical system. The reconstruction of the 3-D structure of the moving objects can be achieved using just two-dimensional (2-D) images of a monocular vision system. The proposed scheme is illustrated with a numerical example in the presence of measurement noise for both static and dynamic scenes. Those results are used to clearly demonstrate the advantages of the proposed NLUIO.
Design of carbon nanotube field effect transistor (CNTFET) small signal model
Authors: Farhana Soheli
Published: October 2019

The progress of Carbon Nanotube Field Effect Transistor (CNTFET) devices has facilitated the trimness of mobile phones, computers and all other electronic devices. CNTFET devices contribute to model these electronics instruments that require designing the devices. This research consists of the design and verification of the CNTFET device's small signal model. Scattering parameters (S-parameters) is extracted from the CNTFET model to construct equivalent small model circuit. Current sources, capacitors and resistors are involved to evaluate this equivalent circuit. S-parameters and small signal models are elaborated to analyze using a technique to form the small signal equivalent circuit model. In this design modeling process, at first intrinsic device's Y-parameters are determined. After that series of impedances are calculated. At last, Y-parameters model are transformed to add parasitic capacitances. The analysis result shows the acquiring high frequency performances are obtained from this equivalent circuit.
Internal model controller based PID with fractional filter design for a nonlinear process
Authors: P.R. Hemavathy , Shuaib Y Mohamed , Lakshmanaprabu S.K.
Published: October 2019

In this paper, an Internal model Controller (IMC) based PID with fractional filter for a first order plus time delay process is proposed. The structure of the controller has two parts, one is integer PID controller part cascaded with fractional filter. The proposed controller has two tuning factors λ, filter time constant and a, fractional order of the filter. In this work, the two factors are decided in order to obtain low Integral Time Absolute Error (ITAE). The effectiveness of the proposed controller is studied by considering a non linear (hopper tank) process. The experimental set up is fabricated in the laboratory and then data driven model is developed from the experimental data. The non linear process model is linearised using piecewise linearization and two linear regions are obtained. At each operating point, linear first order plus dead time model is obtained and the controller is designed for the same. To show the practical applicability, the proposed controller is implemented for the proposed experimental laboratory prototype.
Software reusability development through NFL approach for identifying security based inner relationships of affecting factors
Authors: Devi T. Rajani , Rama B.
Published: October 2019

In component based software reusability development process, the software developers have to choose the best components which are self adaptive future to overcome the functional errors, framework mismatches, violation of user level privacy issues and data leakage feasibilities. The software developers can build high quality software applications by taking the consideration of the reusable components which are more suitable to provide high level data security and privacy. This paper has proposing the neural based fuzzy framework based approach to estimate the reusable components which are directly and indirectly involve the security and privacy to improve the quality of the software system. This approach has considered the twenty effecting factors and fifty three attribute matrices. It has formed with three stages of execution scenarios. The first stage has executed with eleven effecting factors and eighteen attribute matrices for identification of supporting software reusability components, the second stage has executed with four effecting factors and thirty five attribute matrices for identification of sub-internal relationships in terms of security-privacy, and the third stage has executed with eight effecting factors and six attribute matrices for identification of sub of sub-internal relationships in terms of security risk estimation. This analytical finding proposes a fuzzy logic model to evaluate the most feasible effecting factors that influence the enterprise level data security-privacy practices at real time environment.
Analysis and implementation of the impact of change: application to heterogeneity algorithms in enterprise architecture
Authors: Lakhrouit Jihane , Baïna Karim
Published: October 2019

Measurements play an important role in many scientific fields in general and intheanalysisofenterprisearchitectureinparticular.In software engineering, the measures are used to control the quality of the software product and better manage development projects to control the cost of production.In this article we proposed firstly models and measures to evaluate and analyze the complexity of the enterprise architecture and especially the heterogeneity of components and relationships, and secondely we developed a model to automatically detect the change of measures and their impact on enterprise architecture.
Voltage collapse point evaluation considering the load dependence in a power system stability problem
Authors: Garcia Sanchez Zaid , González Jose Antonio , Crespo Gustavo , Herrera Hernan Hernandez , Silva Jorge Iván
Published: October 2019

Voltage Stability has emerged in recent decades as one of the most common phenomena, occurrence in Electrical Power Systems. Prior researches focused on the development of algorithm indices to solve the stability problem and in the determination of factors with most influence in voltage collapse to solve the stability problem. This paper evaluates the influence that the load dependence has with the voltage on the phenomenon of the voltage stability and especially on the characteristics the collapse point or instability point. Load modeling used is detailed and comparisons of the results obtained are made with those described in the bibliography and those obtained with commercial software. The results of the load margin are also compared when a constant load or a voltage-dependent load is considered as well as the values obtained at the maximum load point and the point of voltage instability.
Voltage Stability Analysis and Stability Improvement of Power System
Authors: Pavithren Pavithren , Raghu Raman Raman , Nair Pratap , Nithiyananthan K.
Published: October 2019

The main objective of this research work is to analysis the voltage stability of the power system network and its improvement in the network.voltage stability of a power system. A system enters a state of voltage instability when a disturbance, increase in load demand, or change in system condition causes a progressive and an uncontrollable drop in voltage or voltage collapse. The continuing increase in demand for electric power has resulted in an increasingly complex, interconnected system, forced to operate closer to the limits of the stability. This has necessitated the implementation of techniques for analyzing and detecting voltage collapse in bus bar or lines prior to its occurrence. Simple Newton Raphson algorithm based voltage stability analysis has been carried out. Matlab based simulations for all the factors that causes voltage instability has been implemented and analyzed for an IEEE 30 bus system. The proposed model is able to identify the behavior of the power systems, network under various voltage stability conditions and its possibility of recovery/stability improvement of the power system network has been discussed.
DC UPS for Critical Loads
Authors: S Ganesh , Ghosh T Chiranjit , R Kokilasree , M Nandhakumar , Alim T Md Haroon
Published: October 2019

The usual way to avoid a computer shutdown during a mains failure is to connect an  uninterruptible power supply system (UPS), which can be suitably modified and fitted inside the computer cabinet by the use of proposed methodology known as a dc UPS.  Conventional desk top UPS systems store electricity in form of chemical energy in batteries and when ever mains fail the batteries provide DC power which is then converter to ac by inverter and then fed to the computer in order to save critical data.  Thus power from mains or from UPS is fed to switched mode power supply unit which converts it to dc to  supply the computer motherboard and accessories.  Leaving the case of the computer powered by mains, duing power failure the dc power is unnecessarily converted to ac and then to dc again in SMPS hence high switching losses and heat is produced there by making the entire system very lowe efficient.  In this work it is proposed to directly feed the dc power from the battery to the computer SMPS system by building a UPS arrangement within the computer system.  This not noly saves space, it is highly efficient compared to the conventional ups system, easy to carry, low cost and reliable since there is no change over operation is required/.  A complete design of an ac to dc power supply with an internal dc UPS is presented in this paper. . A prototype has been fully developed and tested as a PC power supply. Thus the result is achieved at full power about 6-8 minutes.
Design and Implementations of Control System Quadruped Robot Driver Application Based on Windows Platform
Authors: Sudarma Made , Swamardika IBA , Dani Pranata IW
Published: October 2019

Wireless remote device control system is a controlling method which is widely used in various fields. By using wireless communication media, remote control system becomes more efficient and flexible. Computer application is one of the devices which can be used to perform remote controlling. Computer application can be made in accordance with the need of its users in conducting device controlling from the distance. Remote controlling is also can be applied on the robotic field. One of the examples is wireless remote controlling of Quadruped Robot. By utilizing its Windows application such as Visual Basic in order to establish communication with wireless communication module such as Xbee-PRO, a control system can be designed which can be used to control the movement of Quadruped Robot wirelessly. Wireless communication module is also has to be installed and able to perform data communication with the device to be controlled that is Quadruped Robot. The addition of camera which is also using wireless communication system will be very helpful for the users in knowing the condition around Quadruped Robot.
The Extended Dijkstra’s-based Load Balancing for OpenFlow Network
Authors: Yahya Widhi , Basuki Achmad , Jiang Jehn Ruey
Published: October 2019

This paper proposes load-balancing algorithm on the basis of the Extended Dijkstra’s shortest path algorithm for Software Defined Networking (SDN). The Extended Dijkstra’s algorithm considers not only the edge weights, but also the node weights to find the nearest server for a requesting client. The proposed algorithm also considers the link load in order to avoid congestion. We use Pyretic to implement the proposed algorithm and compare it with related ones under the Abilene network topology with the Mininet emulation tool. As shown by the comparisons, the proposed algorithm outperforms the others in term of the network end-to-end latency, throughput and response time at the expense of a little heavier computation load and more memory usage on the SDN controller.
Discrete Markov Chain Based Spectrum Sensing for Cognitive Radio
Authors: Amini Mohammadreza , Mirzavandi Asra , Rezaei Mosrafa
Published: October 2019

Spectrum sensing is one of the functionalities of cognitive radios to exploit spectrum holes without interrupting primary users transmission. The more efficient of the spectrum sensing, the highest the throughput of secondary and primary network. This paper presents spectrum sensing method based on phase type modelling that is simple to do for secondary users to conclude about the channel state (idle or busy) under collision constraint. The parameters of phase type model can be adjusted based on desired operating point of the receiver sensor in its ROC curve. The presented approach can run a trade off between sensing time and the two error probabilities of sensor false alarm and miss-detection.
Coloring of Cervical Cancer’s Ct Images to Localize Cervical Cancer
Authors: Putri Erlinda Ratnasari , Vijai Nasrulloh Amar , Fahrudin Arfan Eko
Published: October 2019

Cervical cancer is the most common gynecologic cancer in women. Cervical cancer and the normal cervix usually have similar attenuations on CT images which are obtained. The normal cervix and the tumour cannot be distinguished on normal CT images. CT image of cervical cancer is used by the experts for the analysis of diseases. In this research study, CT image of cervical cancer is done with process of image segmentation and coloring. The process of image segmentation is done after the image sharpening process and the determination of cervical cancer’s area. Fuzzy C-Means is used as the algorithm for image segmentation. The colors of image segmentation result are changed by program module. The result is the colors of image segmentation uniform with the other results. The image is overlayed with image result of image sharpening process. Coloring image purposes are to distinguish between cervical cancer’s area and normal organ and to localize the existence of cervical cancer. Based on the doctor’s observation, the empirical rate of testing 20 samples on the program is 100%.
Bus Arrival Prediction – to Ensure Users not to Miss the Bus
Authors: Fanani Lutfi , Basuki Achmad , Liang Deron
Published: October 2019

Predicting arrival times of buses is a key challenge in the context of building intelligent public transportation systems. The bus arrival time is the primary information for providing passengers with an accurate information system that can reduce passenger waiting times. In this paper, we used the normal distribution method to the random of travel times data in a bus line number 243 in Taipei area. In developing the models, data were collected from Taipei Bus Company. A normal distribution method used for predicting the bus arrival time in bus stop to ensure users not to miss the bus, and compare the result with the existing application. The result of our experiment showed that our proposed method has a better prediction than existing application, with the probability user not to miss the bus in peak time is 93% and in normal time is 85%, greater than from the existing application with the 65% probability in peak time, and 70% in normal time.
Evaluation of Noise Exclusion of Medical Images Using Hybridization of Particle Swarm Optimization and Bivariate Shrinkage Methods
Authors: Bhargava Shruti , Somkuwar Ajay
Published: October 2019

Denoising of images got corrupted by addition of noise signals (generated by no single reason) has always a subject of interest for researchers. This paper proposes and classifies the efficiency of an algorithm based on bivariate shrinkage further optimized by Particle Swarm Optimization (PSO).The estimator for undecimatedfilterbank which incorporate the adaptive subbands thresholding further represented with singal threshold based on denosing performs.The paper evaluate performance of medical image denoising by calculation of PSNR, MSE, WPSNR and SSIM. The simulation results based on testing the model at MATLAB 2010A platform shows significant enhancement in mitigation of Gaussian noise, speckle noise, poisson noise and salt & pepper noises from experimental data
An Efficient Cache Organization for On-Chip Multiprocessor Networks
Authors: Awadalla Medhat , M. Sadek Ahmed
Published: October 2019

To meet the growing computation-intensive applications and the needs of low-power, high-performance systems, the number of computing resources in single-chip has enormously increased. By adding many computing resources to build a system in System-on-Chip, its interconnection between each other becomes another challenging issue. In most System-on-Chip applications, a shared bus interconnection which needs an arbitration logic to serialize several bus access requests, is adopted to communicate with each integrated processing unit because of its low-cost and simple control characteristics. This paper focuses on the interconnection design issues of area, power and performance of chip multi-processors with shared cache memory. It shows that having shared cache memory contributes to the performance improvement, however, typical interconnection between cores and the shared cache using crossbar occupies most of the chip area, consumes a lot of power and does not scale efficiently with increased number of cores. New interconnection mechanisms are needed to address these issues. This paper proposes an architectural paradigm in an attempt to gain the advantages of having shared cache with the avoidance of penalty imposed by the crossbar interconnect. The proposed architecture achieves smaller area occupation allowing more space to add additional cache memory. It also reduces power consumption compared to the existing crossbar architecture. Furthermore, the paper presents a modified cache coherence algorithm called Tuned-MESI. It is based on the typical MESI cache coherence algorithm however it is tuned and tailored for the suggested architecture. The achieved results of the conducted simulated experiments show that the developed architecture produces less broadcast operations compared to the typical algorithm.
Modelling Electronic Characteristic of InP/InGaAs Double Heterojunction Bipolar Transistor
Authors: Yamina Berrichi , Kherreddine Ghaffour
Published: October 2019

In this paper, we are interested in studying InP/InGaAs heterojunction bipolar transistor NPN type. First and for most we should describe the structure of our simulation, then, we ploted at room temperature: Energy band diagram, Gummel plot, IC-VC characteristic and conduction bands for different values of VBE.  The simulation of this structure has demonstrated the validity of our model and the method of the simulation.
Blind Signal Processing Algorithmsbased based on Recursive Gradient Estimation
Authors: Kim Namyong , Kang Mingoo
Published: October 2019

Blind algorithms based on the Euclidean distance (ED) between the output distribution function and a set of Dirac delta functions have a heavy computational burden of  due to some double summation operations for the sample size and symbol points. In this paper, a recursive approach to the estimation of the ED and its gradient is proposed to reduce the computational complexity for efficient implementation of the algorithm. The ED of the algorithm is comprised of information potentials (IPs), and the IPs at the next iteration can be calculated recursively based on the currently obtained IPs. Utilizing the recursively estimated IPs, the next step gradient for the weight update of the algorithm can be estimated recursively with the present gradient. With this recursive approach, the computational complexity of gradient calculation has only . The simulation results show that the proposed gradient estimation method holds significantly reduced computational complexity keeping the same performance as the block processing method
A Scalable Large Format Display Based on Zero Client Processor
Authors: Kim Sang Don , Lee Seung Eun
Published: October 2019

This paper proposes zero client module that targets Large  Format Display (LFD) system for display wall. Increased resolution in modern LFD requires a high bandwidth channel and a high performance display controller to transfer the image data to the monitor. The key idea is to use a Gagabit-Etherent communication based Daisy-Chain to transfer an image data. This communication supports sufficient bandwidth for image data transfer. As a result, we implement the LFD system using tha zero  client module and LFDmonitors.
Handling Low and High Demand Mode on Safety Instrumented Function
Authors: R. Biyanto Totok , Kusuma Franky , Cordova Hendra , Sutatio Yerry , Bayuaji Ridho
Published: October 2019

In this paper, demand rate and hazardous event frequency considerations which effect to the error on the SIL calculation will be discused. The various value of hazardous event frequency and demand rate will be evaluated in this paper. The  result of this paper is when hazardous event frequency 10E-06/year and PFD’s safeguard 0.00002, with test interval 1 year, the SILs of low and high demand start showing different level at demand 5.1/year. At that point, we shouldn’t use simplified formula for low demand, because it will make different SIL with the exponential formula and simplified high demand formula. The requared SIL targets are SIL 2 and SIL 1, for exponential formula and simplified high demand formula, respectifely. Hence, it should be taken more attention and consideration for various value of hazardous event frequency with various demand rate.
A Comparative Study: Change Detection and Querying Dynamic XML Documents
Authors: Sonawane Vijay R , Rao D.R.
Published: October 2019

The efficient management of the dynamic XML documents is a complex area of research. The changes and size of the XML documents throughout its lifetime are limitless. Change detection is an important part of version management to identify difference between successive versions of a document. Document content is continuously evolving. Users wanted to be able to query previous versions, query changes in documents, as well as to retrieve a particular document version efficiently. In this paper we provide comprehensive comparative analysis of various control schemes for change detection and querying dynamic XML documents.
Study of Data Security Algorithms using Verilog HDL
Authors: Sumathi M. , Nirmala D. , Rajkumar R. Immanuel
Published: October 2019

This paper describes an overview of data security algorithms and its performance evaluation. AES, RC5 and SHA algorithms have been taken under this study. Three different types of security algorithms used to analyze the performance study. The designs were implemented in Quartus-II software. The results obtained for encryption and decryption procedures show a significant improvement on the performance of the three algorithms. In this paper, 128-bit AES, 64-bit of RC5 and 512-bit of SHA256 encryption and Decryption has been made using Verilog Hardware Description Language and simulated using ModelSim.
Wireless Mote Based Explosive Detection Land Rover using EC Sensor (WEDLRE)
Authors: Manasa Vaddi , Rao K.Raghava
Published: October 2019

As continues attacks in the world from terrorists countries warning us to be aware of those attacks like Explosive attacks, hijacks etc., which will cause huge damage to the life and property in all over the world. Among these explosive attacks is most effective to life and wealth of a country. To overcome such attacks and to save the life an intense research has done to know the characterization of the explosives, Detection Methods are also improvised. To save our next generation and escape from threats a new detection methodology has been implemented to detect the explosives at all places and the proposed system is called “Wireless Explosive detection Land Rover using ECS”. In this system chemical sensors, Quartz sensors etc., are used on the motes. By using the RF Camera a continuous surveillance can be done throughout the places like malls, rooms, houses, streets, etc., if any explosive is detected then without any delay the explosive location and timeout to explode and area that effect if explode details will be sent to the Police control room to diffuse the explode device with in time. A message will also be sent to the nearby hospitals to rescue the people.
Survey on Mutation-based Test Data Generation
Authors: Le Thi My Hanh , Nguyen Thanh Binh , Khuat Thanh Tung
Published: October 2019

The critical activity of testing is the systematic selection of suitable test cases, which be able to reveal highly the faults. Therefore, mutation coverage is an effective criterion for generating test data. Since the test data generation process is very labor intensive, time-consuming and error-prone when done manually, the automation of this process is highly aspired. The researches about automatic test data generation contributed a set of tools, approaches, development and empirical results. In this paper, we will analyse and conduct a comprehensive survey on generating test data based on mutation. The paper also analyses the trends in this field.
The Dynamic of Synchronous Generator under Unbalanced Steady State Operation: A Case of Virtual Generator Laboratory
Authors: Kadiman Sugiarto , Basuki Arif , Arena Mytha
Published: October 2019

The purpose of this study is to design and develop a synchronous generator virtual laboratory for undergraduate student courses, which can be treated as an accessorial tool for enhancing instruction. Firstly, the study reviews the general concept and algorithm of synchronous generator model. Secondly, the simulation method of this system is discussed. Finally, the paper introduces its example and analysis. One of the major objectives of this project is the dynamics of synchronous generators connected to the 500 kV EHV Jamali (Jawa-Madura-Bali) System under unbalanced steady state condition that could be modeled as a balanced synchronous generator’s model with unbalanced voltage inputs. The balanced synchronous generator model based on the rotor’s qd0 reference frame was chosen to substitute generator’s model embeded in loadflow analysis. The verification of the proposed generator’s model was checked by comparing it with a PSS Tecquiment NE9070 simulator. The unbalanced voltage inputs of generator were derived utilizing the loadflow analysis by determining the phase and sequence currents, and average bus voltages of the 500 kV EHV Jamali grid considering unbalanced portion variations. Meanwhile, the load locations having significant effect on the test generators are obtained by using the electricity tracing method. The developed virtual laboratory with a given example demonstrated the usefulness of the tool for studying synchronous generator under unbalanced steady-state operation.
Ohmic Contact characterization Using Image Processing
Authors: B.N. Shashikala , B.S. Nagabhushana
Published: October 2019

The Ti/Al/Ni/Au films deposited by electron beam evaporation on n type GaN was demonstrated as a suitable solution for low resistive and thermally stable contact to n-type GaN. The surface morphology of Ti/Al/Ni/Au and Ti/Al contacts were studied as a function of the annealing process conditions using image processing techniques. The algorithm was implemented using the MATLAB software. Using the algorithm made, the area occupied by the pores and porosity in the ohmic contact structures were obtained.
A Prototype of Online Dynamic Scaling Scheduler for Real-Time Task based on Virtual Machine
Authors: Seo Junho , Kim Kyong Hoon
Published: October 2019

In this paper, we provide an architecture of power-aware scheduler for real-time virtual machine system using dynamic frequency scaling mechanism This architecture provides that how to manage real-time resource and how to control processor frequency. In addition, we propose two scheduling schemes that utilize slack time to adjust processor frequency without violating tasks deadline. Based on the provided architecture, we implement a virtualization framework with online power-aware scheduler using RT-Xen real-time hypervisor and Litmus-RT real-time OS. Our implementation manages entire of real-time resource and processor frequency depending on system policy. For trasferring real-time requirements, we implement an interface using hypercall mechanism. To evaluate provided system, we analyze performance evaluation in various aspects.
Improved Learning Scheme for Cognitive Radio using Artificial Neural Networks
Authors: Mahajan Rita , Bagai Deepak
Published: October 2019

The future of wireless system is facing the problem of spectrum scarcity. Number of users is increasing rapidly but available spectrum is limited. The Cognitive Radio (CR) network technology can enable the unlicensed users to share the frequency spectrum with the licensed users on a dynamic basis without creating any interference to primary user. Whenever secondary user finds that primary user is not transmitting and channel is free then it uses channel opportunistically. In this paper cognitive radio with predictive capability using artificial neural network has been proposed. The advantage of such cognitive user is saving of time and energy for spectrum sensing. Proposed radio will sense only that channel which is predicted to be free and channel is selected on the basis of maximum vacant time. Performance has been evaluated in the term of mean square error. The results show that this learning capability can be embedded in secondary users for better performance of future wireless technologies.  
A Study on the Effect of Consumer Involvement and Affect Intensity before and after Plagiarism Suspicion on the Purchase Intention of Music Goods
Authors: Jo Jin-Wan , Shin Mi-Hae , Kim Young-Chul
Published: October 2019

This study aims to examine the effect of consumers' involvement and affect intensity on the purchase intention of music items. In particular  domestically, there is no clear standard for judgment of plagiarism, and thus it is expected that plagiarism suspicion is likely to affect consumers' involvement and affect intensity, and as a result, their purchase intention as well. Accordingly, consumer characteristics (involvement, affect intensity) were chosen as independent variables, and consumers' purchase intention on music items as a subordinate variable, respectively. The first questionnaire-based survey was conducted before the awareness of plagiarism suspicion, followed by the second survey after the awareness of plagiarism suspicion. It turned out that the higher level of involvement and affect intensity, both of which are consumer characteristics, the higher level of purchase intention of music goods. While plagiarism suspicion caused C.R values to decrease in every item, a significant difference was observed only in the relation of ‘involvement - purchase intention’. This study shows that music items which involve plagiarism suspicion result in changes in consumers' purchase intention, which will cause damage to the creators and performers of related music items. Thus, for the development of the music industry and creative activity, tools and standards that can clearly distinguish plagiarism need to be developed.
A Comparison of the Query Execution Algorithms in Secure Database System
Authors: Jang Young-Dal , Kim Ji-Hong
Published: October 2019

In accordance with the database management, DAS(Database as Service) model is one solution for outsourcing. However, we need some data protection mechanisms in order to maintain the database security The most effective algorithm to secure databases from the security threat of third party attackers is to encrypt the sensitive data within the database. However, once we encrypt the sensitive data, we have difficulties in queries execution on the encrypted database. In this paper, we focus on the search process on the encrypted database. We proposed the selective tuple encryption method using Bloom Filter which could tell us the existence of the data. Finally, we compare the search performance between the proposed method and the other encryption methods we know.
Proposed Potential Security Infrastructure in VANETS using Tamper Registered Hardware
Authors: Jani Shaik Mahaboob , Umar Syed
Published: October 2019

All over the world many road accidents are occurred due to lack of knowledge of vehicle`s distance and speed. But this issue will be solved by using VANETS through which we can well know about the speed of the vehicle and how much distance it is from other vehicles in all sides. So the VANETS will play a very crucial role in the safety and mostly avoidance of accidents like reacting immediately in dangerous situations. In order to prevent the abuse of VANETS a potential security infrastructure is needed to maintain confidential requirements like message integrity & availability. To achieve this we have proposed a concept called A seperate Potential security infrastructure facilitated with symmetric & Asymmetric cryptography with TRH. Our proposed theory will give very high efficient in terms of Computational Needs for the VANETS users.
Study of BGP Convergence Time
Authors: Devikar Rohit Nilkanth , Patil D. V. , Chandraprakash V.
Published: October 2019

Border Gateway Protocol (BGP), a path vector routing protocol, is a widespread exterior gateway protocol (EGP) in the internet. Extensive deployment of the new technologies in internet, protocols need to have continuous improvements in its behavior and operations. New routing technologies conserve a top level of service availability. Hence, due to topological changes, BGP needs to achieve a fast network convergence. Now a days size of the network growing very rapidly. To maintain the high scalability in the network BGP needs to avoid instability. The instability and failures may cause the network into an unstable state, which significantly increases the network convergence time. This paper summarizes the various approaches like BGP policies, instability, and fault detection etc. to improve the convergence time of BGP.
Implementation of High Security Cryptographic System with Improved Error Correction and Detection Rate using FPGA
Authors: Babu T Narendra , Noorbasha Fazal , Chowdary Gunnam Leenendra
Published: October 2019

In this article, an encryption algorithm with an error detection technique is presented for highly secured reliable data transmission over unreliable communication channels. In this algorithm, an input data is mapped into orthogonal code first. After that the code is encrypted with the help of Linear Feedback Shift Register (LFSR). The technique has been successfully verified and synthesized using Xilinx by Spartan-3E FPGA. The results show that the error detection rate has been increased to 100% by proposed encryption scheme is effective and improves bandwidth efficiency.
Modified Predictive Control for a Class of Electro-Hydraulic Actuator
Authors: A.A. Emhemed Abdulrahman , Mamat Rosbi Bin , Mohd Faudzi Ahmad ‘Athif , Johary Mohd Ridzuan , Osman Khairuddin
Published: October 2019

Many model predictive control (MPC) algorithms have been proposed in the literature depending on the conditionality of the system matrix and the tuning control parameters. A modified predictive control method is proposed in this paper. The modified predictive method is based on the control matrix formulation combined with optimized move suppression coefficient. Poor dynamics and high nonlinearities are parts of the difficulties in the control of the Electro-Hydraulic Actuator (EHA) functions, which make the proposed matrix an attractive solution. The developed controller is designed based on simulation model of a position control EHA to reduce the overshoot of the system and to achieve better and smoother tracking. The performance of the designed controller achieved quick response and accurate behavior of the tracking compared to the previous study.
An Improved ICI Self Cancellation Scheme for OFDM Systems Under Various Channels
Authors: Sharief A. H. , Sai Ram M. Satya
Published: October 2019

Inter Carrier Interference (ICI) is being introduced in OFDM due to the carrier frequency offset (CFO), which will degrade the system performance and efficiency at higher modulation levels and it decreases the performance of power amplifiers. Hence, here in this paper, we introduced a novel ICI reduction algorithms cancellation under the various channel environments such as AWGN, Rayleigh and also Rician. Simulation results have been compared with existing and proposed schemes under these channel specifications and concluded that the Rayleigh has performed far better than the AWGN and Rician channel distributions in terms of Bit Error Rate (BER) and Carrier interference Ration (CIR) performance.
Advancement in Research Techniques on Medical Imaging Processing for Breast Cancer Detection
Authors: S J Sushma , Prasanna Kumar S C
Published: October 2019

With the advancement of medical image processing, the area of the healthcare sector has started receiving the benefits of the modern arena of diagnostic tools to identify the diseases effectively. Cancer is one of the dreaded diseases, where success factor of treatment offered by medical sector is still an unsolved problem. Hence, the success factor of the treatment lies in early stage of the disease or timely detection of the disease. This paper discusses about the advancement being made in the medical image processing towards an effective diagnosis of the breast cancer from the mammogram image in radiology. There has been enough research activity with various sorts of advances techniques being implemented in the past decade. The prime contribution of this manuscript is to showcase the advancement of the technology along with illustration of the effectiveness of the existing literatures with respect to research gap.
A cognitive approach for evaluating the usability of Storage as a Service in Cloud Computing Environment
Authors: Roy Sharmistha , Pattnaik Prasant Kumar , Mall Rajib
Published: October 2019

Cloud computing is a style of computing which thrives users requirements by delivering scalable, on-demand and pay-per-use IT services. It offers different service models, out of which Storage as a Service (StaaS) is the fundamental block of Infrastructure cloud that fulfills user’s excess demand of elastic computing resources.  But considering the competitive business scenario choosing the best cloud storage provider is a difficult task. Thus, usability is considered to be the key performance indicator which evaluates the better cloud storage based on user’s satisfaction. This paper aims to focus on the usability evaluation of StaaS providers namely Google drive, Drop box and One drive. This paper proposed a fuzzy based AHP model for measuring user satisfaction. Usability evaluation is carried out based on user feedback through Interview and Questionnaire method. Analysis of user feedback is done based on the fuzzy approach in order to remove vaguness. Whereas, AHP model is used for measuring satisfaction degree of the different cloud storage services and it solves the problem of selecting best cloud storage.
Integration of Frequency Dependent Soil Electrical Properties in Grounding Electrode Circuit Model
Authors: Mokhtari Mehrdad , Abdul-Malek Zulkurnain , Wooi Chin Leong
Published: October 2019

The effect of frequency dependent soil properties on the impedance and transient response of the grounding electrode was investigated. The frequency dependent soil models as proposed by Scott, Smith-Longmire, and Visacro-Alipio were critically reviewed. A novel method was proposed to integrate the frequency dependent soil electrical properties in the circuit model of grounding electrode. To validate the application of the method in circuit model, the voltage responses of the grounding electrode obtained by the circuit and electromagnetic models were compared. The voltage responses obtained by the circuit and electromagnetic models were in excellent agreement in terms of voltage peaks and wave shapes. The differences between voltage peaks obtained by the circuit and electromagnetic models were found less than 1%.
Effect of Contaminant Flow-rate and Applied Voltage on the Current Density and Electric Field of Polymer Tracking Test
Authors: Muhamedin F. L. , M. Piah M. A. , Othman N. A. , Ahmed Algeelani Nasir
Published: October 2019

Electrical failure due to surface discharge on the insulation material will cause material degradation and eventually lead to system failure. The flow of leakage current (LC) on the insulator surface under wet contamination is used to determine the material degradation level. According to IEC 60587 standard, LC exceeding 60 mA for more than two seconds is considered as failure. In this study, the  electric field and current density distributions on the linear low-density polyethylene (LLDPE) and natural rubber blend material have been analyzed using finite element method (FEM) analysis. The physical parameters used in FEM simulation were applied with voltage and contaminant flow rate, in accordance to contaminant conductivity. Tracking test condition according to IEC 60587 standard has been applied as proposed by the reference work in simulation using QuickField FEM software. The results show that the electric field and current density would become critical in higher applied voltage and contaminant flow rate. The highest average and highest maximum current density and electric field are found in both applied voltage of 6 kV and contaminant flow rate of 0.90 mlmin-1.
Partial Discharge Characterization based on Leakage Current Pulses Waveform for Contaminated Glass Insulator String
Authors: Othman N. A. , Piah M. A. M. , Adzis Z. , A. Al-geelani Nasir
Published: October 2019

This paper deals with the analysis of partial discharge (PD) occurrences based on leakage current (LC) pulses distribution under different level of contamination. In this work, laboratory based contamination performance tests are conducted on four units of glass insulator string stacked in I-position. Results show that PD can be characterized (according to their occurrence with respect to the AC supply) as follows: corona discharge occurring dominantly in lightly contaminated insulators, surface discharge occurring dominantly in medium contaminated insulators and finally internal discharge occurring dominantly in heavily contaminated insulators. The ability to distinguish the type of PDs from the LC waveform could be used to monitor and predict the condition of the insulator. The outcome can be incorporated in a conditioning monitoring system.
A New All-Optical Signal Regeneration Technique for 10 GB/S DPSK Transmission System
Authors: Das Bhagwan , Abdullah Mohammad Faiz Liew , Mohd Shah Nor Shahida
Published: October 2019

The transmission of high power inside the optical fiber, produce amplitude noise, phase noise and other transmission impairments that degrade the performance of optical communication system. The signal regeneration techniques are used to mitigate these nonlinear impairments in the electrical or in the optical domain. All-optical signal regeneration techniques are one of the solutions to mitigate these nonlinear transmission impairments in the optical domain without converting the signal from optical to electrical domain. The existing techniques are not capable enough to attain the Bit Error Rate (BER) less than 10-10 with the power penalty less than – 9dBm. In this paper, a new all-optical signal regeneration technique is developed that mitigate amplitude and phase noises in the optical domain. The new optical signal regeneration technique is developed by combining the two existing technique one is 3R (Reshaping, Reamplification and Retiming) regeneration and other is Phase Sensitive Amplification (PSA). The 10Gb/s Differential Phase shift Keying (DPSK) noisy transmission system is used to verify the features of developed technique. The developed technique successfully mitigates the nonlinear impairments from the noisy DPSK system with significant improvement in BER at low power penalty with the additional feature of high Q-factor and an eye open response for the regenerated signal. It is determined that BER of 10-12 is achieved at the power penalty of -14 dBm with Q-factor of 42 and an eye opened response. The developed technique in the DPSK system is realized using commercial software package Optisystem. The designed technique will be helpful to enhance the performance existing high-speed optical communication by achieving the minimum BER at low power penalty.