bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliable Fault Tolerance System for Service Composition in Mobile Ad Hoc Network
Authors: Poola Veeresh , R Praveen Sam , C Shoba Bindu
Published: October 2019

A Due to the rapid development of smart processing mobile devices, Mobile applications are exploring the use of web services in MANETs to satisfy the user needs. Complex user needs are satisfied by the service composition where a complex service is created by combining one or more atomic services. Service composition has a significant challenge in MANETs due to its limited bandwidth, constrained energy sources, dynamic node movement and often suffers from node failures. These constraints increase the failure rate of service composition. To overcome these, we propose Reliable Fault Tolerant System for Service Composition in MANETs (RFTSC) which makes use of the checkpointing technique for service composition in MANETs. We propose fault policies for each fault in service composition when the faults occur. Failure of services in the service composition process is recovered locally by making use of Checkpointing system and by using discovered services which satisfies the QoS constraints. A Multi-Service Tree (MST) is proposed to recover failed services with O(1) time complexity. Simulation result shows that the proposed approach is efficient when compared to existing approaches.
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier transform Computer Algorithm
Authors: Abdulzhraa  AL-Sagheer Radhwan Hussein , Mohammed K. I. , Hussein Mezher Alaa Abdul , Mohammed Habeeban Karrar Abdullah
Published: October 2019

One of the most prominent problems experienced by the oil facilities is leakage of oil from the pipes. This problem caused 55% of oil refineries to be shut off. Oil leakage is a common problem that often results in oil waste, damage, and hazard to public health. Therefore, it is necessary to use Modern technologies to reduce this phenomenon and avoid them in advance. Pipes that convey fluids have many uses in various industries and living facilities. Risk increases when the fluid inside the pipe is flammable. In this work, main case that cause damage to the pipe, longitudinal crack is investigate.This work presents a new experimental model based on computer applications with a Fast Fourier transform (FFT) algorithm for testing the effect of longitudinal crack length by frequency and ultrasonic measurements to measure fluid velocity. The method is used for plastic pipe with 2 cm internal diameter, 3 cm external diameter, and 1 m length. The modulus of elasticity of the material is 800 N/mm2 according to the ISO 178 test method. The pipe conveys oil with simply supported ends. The results show that FFT model shows better features compared with other ways that depends on visual inspection or localized measurements which gave an external perception of pipeline damage. FFT model offers a reliable and cheap style for ensuring pipeline integrity and warning the risks before its occurrence. From the observations made the fundamental natural frequency (FNF) decreases by increasing of crack length in the pipe that conveys fluid
Evaluation of Web Applications based on UX Parameters
Authors: Mistry Anish , Rajan Arokia Paul
Published: October 2019

The objective of evaluating User Experience (UX) in this era of technology is to enhance the user satisfaction. Earlier applications were built with the aim of reducing the work of users. But with the evolution of the technology, the emergence of new gadgets and new trends in the information technology, the applications had to be more user-centric. The primary objective of this research is to evaluate the user experience of web applications based on different UX parameters using different techniques and given a rating. Each of these ratings are combined to determine the overall rating of UX for the web application. Also, the secondary objective of this research is to provide suggestions or recommendations based on the ratings to improve the UX of the web applications. An experimental study was conducted and the results show a significant improvement. Areas of further enhancements have also been identified and presented.
Heart rate Encapsulation and Response Tool using Sentiment Analysis
Authors: B. Prabadevi , Reddy Nandyala Srujana , B. Deepa
Published: October 2019

Users of every system expect it to get better. Providing feedback to the owners or management was difficult but with the advent of technology, it has become handy. Users can now post their comments through online blogs, android apps and websites. Due to the enormous data piling up every second causes a problem in analyzing it. In this paper, sentiment analysis is used for analyzing comments and reviews for hospital management system are demonstrated with real time data. The tools, algorithms and methodology that could fetch accurate results is described. Experimental results indicate 90% of accuracy in proposed system. The review report generated would help the hospital management to identify the positive and negative feedback which further assists them in improving their facilities that could not only create customer satisfaction but also enhanced business processes.
Secure and Proficient Cross Layer (SPCL) QoS Framework for Mobile Ad-hoc
Authors: Sahu Santosh , Sharma Sanjeev
Published: October 2019

A cross layer QoS framework is a complete system that provides required QoS services to each node present in the network. All components within it cooperate together for providing the required services. In existing QoS frameworks there is no security mechanism provided while Security is a critical aspect for QoS in the MANET environment. Cross layer QoS framework  tend to be vulnerable to a number of threats and attacks like, over/under-reporting of available bandwidth, over-reservation, state table starvation, QoS degradation,  information disclosure, theft of services timing attack, flooding attack, replay attack, and denial of service (DoS) attack,  attacks on information in transit and attacks against routing. So it is necessary when designing protocols for QoS framework, the harmony between security and QoS must be present as one impacts the others. In this work we proposed secure and proficient cross layer (SPCL) QoS frameworks which prevents from various types of threats and attacks.  The proposed SPCL QoS framework achieves better performance compared to existing QoS frameworks  in metrics of throughput, packet drop ratio, end-to-end delay, and average jitter in both condition when malicious node present in the network and when malicious node not present in the network
Business recommendation based on collaborative filtering and feature engineering – aproposed approach
Authors: Rokade Prakash Pandharinath , D Aruna Kumari
Published: October 2019

Business decisions for any service or product depend on sentiments by people. We get these sentiments or rating on social websites like twitter, kaggle.  The mood of people towards any event, service and product are expressed in these sentiments or rating. The text of sentiment contains different linguistic features of sentence. A sentiment sentence also contains other features which are playing a vital role in deciding the polarity of sentiments. If features selection is proper one can extract better sentiments for decision making. A directed preprocessing will feed filtered input to any machine learning approach. Feature based collaborative filtering can be used for better sentiment analysis. Better use of parts of speech (POS) followed by guided preprocessing and evaluation will minimize error for sentiment polarity and hence the better recommendation to the user for business analytics can be attained.
An Improved Differential Evolution Algorithm for Data Stream Clustering
Authors: Adepu Bhaskar , Gyani Jayadev , Narsimha G.
Published: October 2019

A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wireless Sensor Network
Authors: Metan Jyoti , Murthy K N Narashinha
Published: October 2019

Security problems in Wireless Sensor Network (WSN) have been researched from more than a decade. There are various security approaches being evolving towards resisting various forms of attack using different methodologies. After reviewing the existing security approaches, it can be concluded that such security approaches are highly attack-specific and doesnt address various associated issues in WSN. It is essential for security approach to be computationally lightweight. Therefore, this paper presents a novel analytical modelling that is based on n-tier approach with a target to generate an optimized secret key that could ensure higher degree of security during the process of data aggregation in WSN. The study outcome shows that proposed system is computationally lightweight with good performance on reduced delay and reduced energy consumption. It also exhibits enhanced response time and good data delivery performance to balance the need of security and data forwarding performance in WSN.
Integrated Framework for Secure and Energy Efficient Communication System in Heterogeneous Sensory Application
Authors: AC Yogeesh , Patil Shantakumar B. , Patil Premjyoti , HR Roopashree
Published: October 2019

Irrespective of different forms and strategies implementing for securing Wireless Sensor Network (WSN), there are very less strategies that offers cost effective security over heterogeneous network. Therefore, this paper presents an integrated set of different processes that emphasize over secure routing, intellectual and delay-compensated routing, and optimization principle with a sole intention of securing the communication to and from the sensor nodes during data aggregation. The processed system advocates the non-usage of complex cryptography and encourages the usage of probability their and analytical modelling in order to render more practical implementation. The simulated outcome of study shows that proposed system offers reduced delay, more throughputs, and reduced energy consumption in contrast to existing system.
Enhancing the BER and ACLR for the HPA Using Pre-Distortion Technique
Authors: Hussein Ehab AbdulRazzaq
Published: October 2019

Power amplifiers are key components in wireless transceivers. Their function is to amplify signal and generate the required Radio Frequency (RF) power that allows to transmit the signal over an appropriate range. The Orthogonal Frequency Division Multiplexing (OFDM) systems are highly sensitive to nonlinear distortion introduced by High Power Amplifier (HPA). The HPA nonlinearity causes in-band and out-of-band distortions. The linearization techniques are used to compensate the nonlinear effects of the high power amplifier. These techniques correct the distortion effects resulting from nonlinearities in the transmitted signal. Many linearization techniques have been developed to improve power amplifier linearity and to decrease both Bit Error Rate (BER) and Adjacent Channel Leakage Ratio (ACLR). This work is set to run the high power amplifier in the nonlinear region. It is also attempting to analyze the resulting signal in terms of the BER and ACLR, next employs pre-distortion linearization techniques to reduce the distortion introduced in this region. According to Digital Video Broadcasting-Terrestrial (DVB-T) standard the linearization techniques, circuit and the OFDM transmitter and receiver is designed and implemented through using computer simulation of AWR Design Environment.
Mobile robot turned on by sound and directionally controlled by an external light source
Authors: Lafaurie Luis G. , Hoyos Fredy E. , Candelo-Becerra Jhon E.
Published: October 2019

This paper presents theoretical, numerical, and experimental tests of a mobile robot, which starts on the emission of a strong sound, like an applause, and the direction and speed of the vehicle is controlled by an external pulsed light source (PWM signal). The simulation is performed in MATLAB-Simulink; electrical circuits and the experiment are shown in detail. The results show that the vehicle speed can be controlled with a PWM signal from an external light falling on the LDR sensors. Besides, the circuit was designed to consume less than 1 ampere with the four motors moving at full speed, which can easily be powered by lithium battery.
Geometric and process design of ultra-thin junctionless double gate vertical MOSFETs
Authors: Kaharudin K. E. , Salehuddin F. , M. Zain A. S. , Roslan Ameer F.
Published: October 2019

The junctionless MOSFET architectures appear to be attractive in realizing the Moore’s law prediction. In this paper, a comprehensive 2-D simulation on junctionless vertical double-gate MOSFET (JLDGVM) under geometric and process consideration was introduced in order to obtain excellent electrical characteristics. Geometrical designs such as channel length (Lch) and pillar thickness (Tp) were considered and the impact on the electrical performance was analyzed. The influence of doping concentration and metal gate work function (WF) were further investigated for achieving better performance. The results show that the shorter Lch can boost the drain current (ID) of n-JLDGVM and p-JLDGVM by approximately 68% and 70% respectively. The ID of the n-JLVDGM and p-JLVDGM could possibly boost up to 42% and 78% respectively as the Tp is scaled down from 11nm to 8nm. The channel doping (Nch) is also a critical parameter, affecting the electrical performance of both n-JLDGVM and p-JLDGVM in which 15% and 39% improvements are observed in their respective ID as the concentration level is increased from 1E18 to 9E18 atom/cm3. In addition, the adjustment of threshold voltage can be realized by varying the metal WF.
A statistical approach to spectrum sensing using bayes factor and p-Values
Authors: Reddy Deepa N. , Ravinder Y.
Published: October 2019

The sensing methods with multiple receive antennas  in the Cognitive Radio (CR) device, provide a promising solution for reducing the error rates in the detection of the Primary User (PU) signal. The received Signal to Noise Ratio at the CR receiver is enhanced using the diversity combiners. This paper proposes a statistical approach based on minimum Bayes factors and p-Values as diversity combiners in the spectrum sensing scenario. The effect of these statistical measures in sensing the spectrum in a CR environment is investigated. Through extensive Monte Carlo simulations it is shown that this novel statistical approach based on Bayes factors provides a promising solution to combine the test statistics from multiple receiver antennas and can be used as an alternative to the conventional hypothesis testing methods for spectrum sensing. The Bayesian results provide more accurate results when measuring the strength of the evidence against the hypothesis.
Bayesian distance metric learning and its application in automatic speaker recognition systems
Authors: Singh Satyanand
Published: October 2019

This paper proposes state-of the-art Automatic Speaker Recognition System (ASR) based on Bayesian Distance Learning Metric as a feature extractor. In this modeling, I explored the constraints of the distance between modified and simplified i-vector pairs by the same speaker and different speakers. An approximation of the distance metric is used as a weighted covariance matrix from the higher eigenvectors of the covariance matrix, which is used to estimate the posterior distribution of the metric distance. Given a speaker tag, I select the data pair of the different speakers with the highest cosine score to form a set of speaker constraints. This collection captures the most discriminating variability between the speakers in the training data. This Bayesian distance learning approach achieves better performance than the most advanced methods. Furthermore, this method is insensitive to normalization compared to cosine scores. This method is very effective in the case of limited training data. The modified supervised i-vector based ASR system is evaluated on the NIST SRE 2008 database. The best performance of the combined cosine score EER 1.767% obtained using LDA200 + NCA200 + LDA200, and the best performance of Bayes_dml EER 1.775% obtained using LDA200 + NCA200 + LDA100. Bayesian_dml overcomes the combined norm of cosine scores and is the best result of the short2-short3 condition report for NIST SRE 2008 data.
Real time implementation of a super twisting control of a BLDC motor
Authors: Mousmi Ali , Abbou Ahmed , Houm Yassine El , Bakouri Anass
Published: October 2019

This paper presents and implements a Super-Twisting high order sliding mode control for a BLDC motor. Conventional sliding mode controller has a very fast response, it allows the convergence in finite time and characterized by its robustness against disturbances and uncertainties; However, the chattering phenomenon due to the discontinuous nature of its control organ degrades its performance, especially in case of mechanical membranes control. To overcome this disadvantage, the most commun solutions are based on the adaptation of its discontinuous nature at static regime, it reduces effectively the chattering phenomenon, but on the other hand impacts performance in terms of robustness. The Super-Twisting is an algorithm of high order sliding mode applicable on systems with relative degree 1, it produces a continuous control which cancels the chattering phenomenon and preserve all traditional sliding mode command performances. To validate the effectiveness and the robustness of the Super-Twisting controller for controlling brushless motors, experimental results using a 3KW BLDC motor are provided and compared with those of a conventional sliding mode controller.
A robust authorship attribution on big period
Authors: Tamboli Mubin Shoukat , Prasad Rajesh
Published: October 2019

Authorship attribution is a task to identify the writer of unknown text and categorize it to known writer. Writing style of each author is distinct and can be used for the discrimination. There are different parameters responsible for rectifying such changes. When the writing samples collected for an author when it belongs to small period, it can participate efficiently for identification of unknown sample. In this paper author identification problem considered where writing sample is not available on the same time period. Such evidences collected over long period of time. And character n-gram, word n-gram and pos n-gram features used to build the model. As they are contributing towards style of writer in terms of content as well as statistic characteristic of writing style. We applied support vector machine algorithm for classification. Effective results and outcome came out from the experiments. While discriminating among multiple authors, corpus selection and construction were the most tedious task which was implemented effectively. It is observed that accuracy varied on feature type. Word and character n-gram have shown good accuracy than PoS n-gram.
Personal data protection and liability of internet service provider: a comparative approach
Authors: Dharmawan Ni Ketut Supasti , Kasih Desak Putu Dewi , Stiawan Deris
Published: October 2019

The users of electronic service provider often suffered losses caused by internet services did not work properly including losses due to leakage of personal data protection stored in cloud computing.  The study aims to examine electronic service provider liability upon their failure performing internet services properly and security attacks on cloud computing. This study was normative legal research by examining national and international legal materials. The finding shows that the electronic provider shall be responsible based on right and obligation agreed under the agreement.  Related to cloud computing, providing adequate security to avoid security attacks and misuse of private data that caused losses to the users becoming the liability of service provider. Based on the Federal Trade Commission Act, the liability arises on the grounds of deceptive and unfair trade practices.  Under the General Data Protection Regulation of the European Union, the liability arises on the basis as the controller then provider liable for compensation for user’s suffered damage. In Indonesia, based on the Electronic Information and Transaction Law Amendment, the liability to the owner of personal data whose rights are violated and suffered losses arises due to a failure of ISP protect the data security. For better protection in Indonesia, the protection of big data and clear territorial scope of protection become necessary to consider.
Traffic management with elephant flow detection in software defined networks (SDN)
Authors: Zaw Hnin Thiri , Maw AungHtein
Published: October 2019

Multipath routing is to distribute the incoming traffic load among available paths between source and destination hosts. Instead of using the single best path, multipath scheme can avoid the congested path. Equal Cost Multi-Path (ECMP) performs the static traffic splitting based on some tuples of the packet headers. The limitation of ECMP does not consider the network parameters such as bandwidth and delay. Unlike the traditional networks, Software-Defined Network (SDN) has many advantages to support dynamic multipath forwarding due to its special characteristics, such as separation of control and data planes, global centralized control, and programmability of network behavior. In this paper, we propose a new architecture design for dynamic multipath-based traffic management approach in the SDN, which comprises of five components: detecting long (elephant) flow, computing shortest paths, estimating end-to-end delay and bandwidth utilization, calculating least cost path and rerouting traffic flow from the ongoing path to the best path. The simulation environment is created through the usage of Mininet emulator and ONOS controller. The evaluation outcomes show that the proposed traffic management method outperforms the ECMP and reactive forwarding method for both TCP and UDP traffic.
Detecting the magnitude of depression in Twitter users using sentiment analysis
Authors: Stephen Jini Jojo , P. Prabu
Published: October 2019

Today the different social networking sites have enabled everyone to easily express and share their feelings with people around the world. A lot of people use text for communicating, which can be done through different social media messaging platforms available today such as Twitter, Facebook etc, as they ﬁnd it easier to express their feelings through text instead of speaking them out. Many people who also suffer from stress ﬁnd it easier to express their feelings on online platform, as over there they can express themselves very easily. So if they are alerted beforehand, there are ways to overcome the mental problems and stress they are suffering from. Depression stands out to be one of the most well known mental health disorders and a major issue for medical and mental health practitioners. Legitimate checking can help in its discovery, which could be useful to anticipate and prevent depression all-together.Hence there is a need for a system, which can cater to such issues and help the user. The purpose of this paper is to propose an efﬁcient method that can detect the level of depression in Twitter users. Sentiment scores calculated can be combined with different emotions to provide a better method to calculate depression scores. This process will help underscore various aspects of depression that have not been understood previously. The main aim is to provide a sense of understanding regarding depression levels in different users and how the scores can be correlated to the main data.
Densely homogeneous fuzzy spaces
Authors: Al Ghour Samer
Published: October 2019

We extend the concept of being densely homogeneous to include fuzzy topological spaces. We prove that our extension is a good extension in the sense of Lowen. We prove that a-cut topological space (X,I_a) of a DH fuzzy topological space (X,I) is DH in general only for a=0.
Predicting cognitive load in acquisition of programming abilities
Authors: Asai So , Dong Phuong Dinh Thi , Harada Fumiko , Shimakawa Hiromitsu
Published: October 2019

In this paper, we propose a method to predict cognitive load and its factors affecting the learning efficiency in programming learning from the learning behavior of learners. Generally, since the concepts of programming are difficult for learners, some of them suffer inappropriate cognitive load to understand them. Although teachers must keep cognitive load of such learners appropriate, it is difficult for them to find learners who has inappropriate cognitive load from a large number of learners. To find learners with inappropriate cognitive load, we construct models with the random forest algorithm, using learning behavior collected from learners solving fill-in-the-blank tests. An experiment shows the models can detect cognitive load for IL and GL along with their factors. Teachers must address adjustment of cognitive load of learners. This result clarifies the learning factors affecting cognitive load of learners, which enables teachers to address the adjustment with small burdens.
Taylor series method in TDOA approach for indoor positioning system
Authors: Jose Diniya , Sebastian Shoney
Published: October 2019

Localisation technologies have always remained in the limelight of positioning-science as researchers have ever shown keen interest to know the exact positions of things. Ultrasonic sensors are mainly used for localisation of mobile robots since they provide high accuracy. This paper presents Taylor Series Method in Time Difference of Arrival approach using ultrasonic sensors.Signals are send from the sensors periodically.The time difference of arrival of signals from the ultrasonic sensors is used by the receiver unit to estimate the location of the mobile unit. The equations formed by using Time Difference of Approach are solved using Taylor Series Method. Taylor Series Method provides a more accurate result since they give less error compared to other methods and they ignore the measurement errors.
Hybrid controller strategy for optimization of cumulated thermal stresses, induced in X-rays tube for medical use
Authors: Mohamed Rachedi , Abdelkrim Bouanane
Published: October 2019

This work presents a new control strategy of the power supply, in favor of equipment intended for the medical use. Several research investigations have been reserved for the service of this supply type, but there are still some disadvantages, which have challenged their high performance in the practical side, in particular the problems which concern the weight, the size and especially, the efficiency of these installations and this, on the cost side, energy balance, and lifetime of this equipment. A control technique is presented to overcome these constraints; its principle is based on the deduction of a hybrid control of which two controllers are simultaneously used for the same radiological dose, known by the fuzzy logic and the PID which have already been tested [1], [3]. This hybrid control has been greatly enhanced and developed, thanks to its robustness against the various intolerable dynamic states applied to the system and also to the unpredictable external disturbances.
K2SiF6:Mn4+ phosphor: recommendation for improving LO and D-CCT of the 7700K RPW-LEDs
Authors: Tin Phu Tran , Tran Minh , Phan Van-Duc , Nguyen Hoang-Nam , Tran Thanh Trang
Published: October 2019

In this paper, we propose a new recommendation for improving lumen output (LO) and CCT deviation (D-CCT) of the 7700 K RPW-LEDs by K2SiF6:Mn4+ red phosphor. Based on Light Tool and Mat Lab simulation software, we can see that the D-CCT and LO can be improved significantly, but the CQS and CRI have a slight decrease with increasing the concentration of the red phosphor. Besides, the analytical and simulation results agree well with each other.
A compressive sensing algorithm for hardware trojan detection
Authors: M Priyatharishini , Devi M. Nirmala
Published: October 2019

Traditionally many fabless companies outsource the fabrication of IC design to the foundries, which may not be trusted always. In order to ensure trusted IC’s it is more significant to develop an efficient technique that detects the presence of hardware Trojan. This malicious insertion causes the logic variation in the nets or leaks some sensitive information from the chip, which reduces the reliability of the system. The conventional testing algorithm for generating test vectors reduces the detection sensitivity due to high process variations. In this work, we present a compressive sensing approach, which can significantly generate optimal test patterns compared to the ATPG vectors. This approach maximizes the probability of Trojan circuit activation, with a high level of Trojan detection rate. The side channel analysis such as power signatures are measured at different time stamps to isolate the Trojan effects. The effect of process noise is minimized by this power profile comparison approach, which provides high detection sensitivity for varying Trojan size and eliminates the requirement of golden chip. The proposed test generation approach is validated on ISCAS benchmark circuits, which achieves Trojan detection coverage on an average of 88.6% reduction in test length when compared to random pattern.
A new method for voice signal features creation
Authors: Al-Dwairi Majed O. , Hendi Amjad Y. , Soliman Mohamed S. , AlQadi Ziad A. A.
Published: October 2019

Digital audio is one of the most important types of data at present. It is used in several applications, such as human knowledge and many security and banking applications. A digital voice signal is usually of a large size where the acoustic signal consists of a set of values distributed in one column (one channel) (mono signal) or distributed in two columns (two channels) (stereo signal), these values usually are the results of sampling and quantization of the original analogue voice signal. In this paper we will introduce a method which can be used to create a signature or key, which can be used later to identify or recognize the wave file. The proposed method will be implemented and tested to show the accuracy and flexibility of this method.
A new energy consumption technique for mobile ad hoc networks
Authors: Alani S. , Zakaria Zahriladha , Lago Herwansyah
Published: October 2019

A dynamic temporary network is created through wireless mobile nodes without the need for considerable infrastructure as well as a central manager. In a mobile ad hoc network, routing protocols allow a mobile for transmission and receiving packets. In the last decade, many variants have come up for the AODV. A minimum number of hop counts are chosen for enhancing routing protocols to include additional factors that can have an impact on path selections. As the distance between each node grows, the transmission power also rises accordingly. Hence, this impacts the network’s entire performance and the most important feature is the quality of service. Most of the traditional routing protocols include energy consumption levels of the nodes and various parameters, like residual battery power, consumption of energy per packet and energy needed per transmission. A new technique is proposed in this paper to enhance the routing efficiency by making use of lion optimization algorithm after identifying all possible paths in the network. This technique not only enhances the energy efficiency of each node but also the performance metrics.
A new framework to alleviate DDoS vulnerabilities in cloud computing
Authors: Saravanan A. , SathyaBama S. , Kadry Seifedine , Ramasamy Lakshmana Kumar
Published: October 2019

In the communication age, the Internet has growing very fast and most industries rely on it. An essential part of Internet, Web applications like online booking, e-banking, online shopping, and e-learning plays a vital role in everyday life. Enhancements have been made in this domain, in which the web servers depend on cloud location for resources. Many organizations around the world change their operations and data storage from local to cloud platforms for many reasons especially the availability factor. Even though cloud computing is considered a renowned technology, it has many challenges, the most important one is security. One of the major issue in the cloud security is Distributed Denial of Service attack (DDoS), which results in serious loss if the attack is successful and left unnoticed. This paper focuses on preventing and detecting DDoS attacks in distributed and cloud environment. A new framework has been suggested to alleviate the DDoS attack and to provide availability of cloud resources to its users. The framework introduces three screening tests VISUALCOM, IMGCOM, and AD-IMGCOM to prevent the attack and two queues with certain constraints to detect the attack. The result of our framework shows an improvement and better outcomes and provides a recovered from attack detection with high availability rate. Also, the performance of the queuing model has been analysed.
Heterogeneous network optimization using robust power-and-resource based algorithm
Authors: Patil Savita , Bhavikatti A. M.
Published: October 2019

In order to meet the increasing mobile data-traffic, spatial densification of network with several low-power nodes, the high-power macro BS and HetNet are the major key enabling solution. However, the HetNet is unplanned in nature, causes irregularities and interferences that without any user association rules. The appropriate deployment of the femto-cell in HetNet can provide effective traffic offloading, where the alleviate mobbing in the macro-cells can decrease the power consumption therefore it optimizes the user experience. Moreover, the protection is also important for the macro and femto cell users in a network through maintaining the min-max level of interferences. In this paper, we proposed RPRA that comprises two robust approach such as robust power-controller and the robust channel-allocation approach, which can improve the spectral efficiency and user experiences at lower network coverage areas via eliminating the week coverage zones. Also provide high user rate connection by effective interference in an efficient spectrum, lowering in transmission power and cost-effectiveness via less time delay. To show the effectiveness of our proposed model we have compared with several existing techniques and we got significant improvement in throughput, also reduction in time delay and transmission power.
A fuzzy system for detection and classification of textile defects to ensure the quality of fabric production
Authors: Mohammed Iman Subhi , Alhamdani Israa Mohammed
Published: October 2019

The aim of this research focuses on construct a computerized system for textile defects detection. The system merges between image processing methods, statistical methods in addition to the Intelligent techniques via Neural Network and Fuzzy Logic. Gabor filters were used to identify edges and to highlight defective areas in fabric images, then to train the neural network on statistical and geometry features derived from fabric images to form the special neural network distinguish and classify defects into the fourteen categories, which are the most common defects in the textile factory.  The proposed work includes two phases. The first phase is to detect the defects in fabrics. The second phase is the classification phase of the defect. At the defect detection stage, a Discrete Cosine Transfer (DCT) converts the images to the frequency domain.  Image features then drawn and introduce them to the Elman Neural Network to detect the existence of defects. In the classification stage, the images are converted to the frequency domain by the Gabor filter and then the image features are extracted and inserted into the back propagation network to classify the fabric defects in those images. Fuzzy logic is then applied to neural network outputs and interference values are used in fuzzy logic to increase final discrimination. We evaluate a distinction rate of 91.4286% .After applying the fuzzy logic to neural network output; the discrimination rate was raised to 97.1428%. 
Real-time online fingerprint image classification using adaptive hybrid techniques
Authors: Mishra Annapurna , Dehuri Satchidananda
Published: October 2019

This paper presents three different hybrid classification techniques applied for the first time in real-time online fingerprint classification. Classification of online real time fingerprints is a complex task as it involves adaptation and tuning of classifier parameters for better classification accuracy. To accomplish the optimal adaptation of parameters of functional link artificial neural network (FLANN) for real-time online fingerprint classification, proven and established optimizers, such as Biogeography based optimizer (BBO), Genetic algorithm (GA), and Particle swarm optimizer (PSO) are intelligently infused with it to form hybrid classifiers. The global features of the real-time fingerprints are extracted using a Gabor filter-bank and then passed into adaptive hybrid classifiers for the desired classification as per the Henry system. Three hybrid classifiers, the optimized weight adapted Biogeography based optimized functional link artificial neural network (BBO-FLANN), Genetic algorithm based functional link artificial neural network (GA-FLANN) and Particle swarm optimized functional link artificial neural network (PSO-FLANN), are explored for real-time online fingerprint classification, where the PSO-FLANN technique  is showing superior performance as compared to GA-FLANN and BBO-FLANN techniques. The best accuracy observed by the application of PSO-FLANN, is 98% for real-time online fingerprint classification.
Recommender system for personalised travel itinerary
Authors: B Tanuja Choudhary , B Tulasi
Published: October 2019

A recommender system is an approach to give an appropriate solu-tion to a particular problem. This helps in recognising the pattern or behaviour of a user to suggest future possible likes of the user. Nowa-days people like to travel during their spare time, it has become a rigid task to decide where to go. This paper represents a customised recommender system to help users in destining their itinerary. A model is designed to suggest the best places to visit in Rome. A questionnaire was prepared to get information about users interest during their travel. The model generates the best five places to visit with respect to the choice picked by the user. The top five places for each category will be displayed to the user and the user was asked to pick a starting point for the itinerary. Then the model generates another set off a filtered list of places to enhance their travel experi-ence. It includes displaying the top 5 restaurants to visit during their travel.
Unmanned and autonomous ground vehicle
Authors: Fernandez S. George , Vijayakumar K. , Palanisamy R , Selvakumar K. , Karthikeyan D. , Selvabharathi D. , Vidyasagar S. , Kalyanasundhram V.
Published: October 2019

Unmanned and Autonomous Ground Vehicle (UAGV) is a smart vehicle that capable of doing tasks without the need of human operator. The automated vehicle can work during off and on road navigation and also used in military operation such as detecting bombs, border patrol, carrying cargos, search, rescue etc reducing soldier’s exposure to danger, freeing them to perform other duties. This type of vehicle mainly uses sensors to observe the environment and automatically take decisions on its own in unpredictable situation and with unknown information or pass this information to the operator who control the UAGV through various communication when it requires support. This UAGV can send visual feedbacks to the operator at the ground station. An onboard sensor gives the complete environment of the vehicle as signals to the operator.
Аutѳmаtіϲ generаtіѳn cѳntrol bаѕẹԁ wһale орtimіzatіѳn αlgorithm
Authors: Al-Din Abed Wisam Najm , Imran Omar A. , Fatah Ibrahim S.
Published: October 2019

In the designing and operation of interconnected power systems, automatic-generation-control (AGC) represent an important topic. AGC is responsible for maintaining the balance between generation side and load side via controlling the frequency and active power interchange. A new metaheuristic strategy is proposed in this work for optimal controller tuning in AGC system. Ԝһale Орtimіzatіоn Αlgorithm(WOA) is proposed for optimal tuning of reset integral controller. T he proposed strategy is used for optimal AGC in two-areas interconnected-power system. The proposed tuning strategy is compared with other new metaheuristic optimization strategy termed as Harmony Search (HS). The two-area interconnected power system are simulated based MATLAB-toolbox. From results obtained, it is obvious that, the system transient and steady-state behavior are enhanced greatly under the same conditions. This is due to the use of the proposed optimization technique.  The proposed technique has an advanced and superior feature like, local optimum avoiding, fast convergence ability, and lower search agents and iteration are required. All mentioned features, make this strategy optimal for various optimization problems.
Extended family of DC-DC Quasi-Z-Source converters
Authors: Ado Muhammad , Jusoh Awang , Sutikno Tole
Published: October 2019

The family of DC-DC q-ZSCs is extended from two to three classes and four to six members. All the members were analyzed based on efficient duty ratio range (RDeff) and general duty ratio range (RDgen). Findings showed that similar to the traditional buck-boost converter (BBC), each of the topologies is theoretically capable of inverted buck-boost (BB) operation for the RDgen with additional advantages but differed according to class in how the gains are achieved. The new topologies have advantages of BB capability at the RDeff, continuous and operable duty ratio range with unity gain at  contrary to existing topologies where undefined or zero gain is produced. Potential applications of each class were discussed with suitable topologies for applications such as fuel cells, photovoltaic, uninterruptible power supply (UPS), hybrid energy storage and load levelling systems identified.
Modeling of three-limb three-phase transformer relates to shunt core using in industrial microwave generators with n=2 magnetron per phase
Authors: Outzguinrimt H. , Chraygane M. , Lahame M. , Oumghar R. , Batit R. , Ferfra M.
Published: October 2019

This paper describes the development and implementation of a digital simulation model of a three-phase transformer relates to shunt core transformer, which used to drive magnetron tubes in the microwave. The focus of this study is based on modeling of a new shell-type of three limbs three-phase transformer. The model uses to feed two magnetrons instead of one magnetron per phase. The proposed model is established on the simultaneous analysis of a duo electromagnetic lumped component equivalent circuit. This latter was implemented in a MATLAB environment under rated conditions. The results obtained from the application of the analytical method are provided results in conformity to the experimental tests in the case of single phase high voltage power supply for one magnetron.
Optimizing the performance of photovoltaic cells IBC (contact back interdigitated) by numerical simulation
Authors: Benadla Nadjat , Ghaffour Kheireddine
Published: October 2019

Solar energy is the most widely shared and abundant source all over the world. This kind of energy is exploited to produce electricity directly by the solar photovoltaic cell. Indeed, silicon  photovoltaic cells are the most widely spread technology. In the present article, we reported a numerical simulation of the interdigitated back contact (IBC) solar cell in order to obtain a higher conversion efficiency. The structure was realized on a p-type multi-crystalline silicon substrate, a p+ type amorphous silicon FSF, an n- type amorphous silicon based emitter, and a p- type BSF. The position of the emitter and the BSF were interdigitated and covered with ohmic contacts. The numerical simulation was carried out by SILVACO software under the Atlas module. The surface of structure was of a value of 10 cm2 under illumination AM1.5g. We studied the effect of the geometrical and the physical parameters of the structure with IBC on the performance of the cell. The optimum obtained conversion efficiency was 20.83%; this result confirms the potential of the heterojunction silicon technology.
Optimal controllers design for voltage control in Off-grid hybrid power system
Authors: Anantwar Harsha , Sundar Shanmukha , Laksmikantha B. R.
Published: October 2019

Generally, for remote places extension of grid is uneconomical and difficult. Off-grid hybrid power systems (OGHPS) has  renewable energy sources integrated with conventional sources. OGHPS is very significant as it is the only source of electric supply for remote areas. OGHPS under study  has Induction generator (IG) for wind power generation, Photo-Voltaic source with inverter, Synchronous generator (SG) for Diesel Engine (DE) and load. Over-rated PV-inverter has capacity to supply reactive power.  SG of  DE  has Automatic voltage regulator for excitation control to regulate terminal voltage. Load and IG demands reactive power, causes reactive power imbalance hence voltage fluctuations in OGHPS. To manage reactive power for voltage control, two control structures with Proportional–Integral controller(PI), to control  inverter reactive power and  SG excitation by automatic voltage regulator are incorporated.  Improper tuning of controllers lead  to oscillatory and sluggish response. Hence in this test system both controllers need to be tune optimally. This paper proposes novel intelligent computing algorithm , Enhanced Bacterial forging algorithm (EBFA) for optimal reactive power controller for voltage control in OGHPS. Small signal model of OGHPS with proposed controller is  tested for different disturbances. simulation results  are compared  with conventional  method , proved the effectiveness of EBFA.
Active and reactive power flow management in parallel transmission lines using static series compensation (SSC) with energy storage
Authors: Suliman Mohammed Yahya
Published: October 2019

The power flow controlled in the electric power network is one of the main factors that affected the modern power systems development. The Static Series Compensatior with storage energy, is a FACTS powerful device that can control the active power flow control of multiple transmission lines branches. In this paper, a simulation model of power control using static series compensator with parallel transmission lines is presented.  The control system using adaptive neuro-fuzzy logic is proposed. The results show the ability of static series compensator with storage energy to control the flow of powers components "active and reactive power" in the controlled line and thus the overall power regulated between lines. 