bluuebunny/crossref_metadata_2025 huggingface dataset:
Big Data: challenges, opportunities and Cloud based solutions
Authors: Bagheri Hamid , Shaltooki Abdusalam Abdullah
Published: October 2019

We are living in an era of information explosion. There are challenges with large and complex amount of data generated every day by social networks, wikis, blogs, emails, traffic system, bridges, airplanes and engine, satellites and weather sensors. 90% of current data in the world has been created in the last two years. Our smart planet becomes more and more intelligent. Besides the challenges posed by such vast amount of data including storage, search, sharing, analysis, and visualization, there are also much opportunities for the world as it becomes more and more digitalized. This study presents Big Data and highlights its key concepts and state-of-the-art implementation as well as research challenges and suggests research directions for future. IT log analytics, Fraud detection pattern, social media pattern and modeling and management patterns are some of opportunities. Hadoop is a cloud based and open source solution for Big Data Analytics which has been written by java. Hadoop solution is currently still immature. In this paper, three topics are suggested for research direction: Security issues in Big Data, context-aware information retrieval, and integrating ontology with Big Data.
Automatic Modulation Recognition for MFSK Using Modified Covariance Method
Authors: M.Hamee Hanan , Wadi Jafer
Published: October 2019

This paper presents modulation classification method capable of classifying
MFSK digital signals without a priori information using modified covariance
method. This method using for calculation features for FSK modulation
should have a good properties of sensitive with FSK modulation index and
insensitive with signal to noise ratio SNR variation. The numerical
simulations and investigation of the performance by the support vectors
machine one against all (SVM-OAA) as a classifier for classifying 6 digitally
modulated signals which gives probability of correction classification up to
85.85 at SNR=-15dB.
Logixpro Based Scada Simlations Model for Packaging System in Dry ICE Plant
Authors: Jain Prashu , Nithiyananthan K. , Raghuraman Raghuraman , Kasilingam Gowrishankar
Published: October 2019

Supervisory Control and Data Acquisition (SCADA) systems control and monitor industrial and critical infrastructure functions, such as electricity, gas, water, waste, railway, and traffic. The main objective of this work is to develop SCADA simulation model for packaging system in dry ice plant. Dry ice is an important refrigerant for keeping foods cold and preventing bacterial growth during shipment. Dry ice used for cooling or freezing foods must be very clean and considered food grade to ensure that food it may touch will not be contaminated. Some recent developments for its use include using the pellets in blasting or cleaning and its increasing use in transporting medical specimens, including hearts, limbs, and tissues, for reattachment and transplantation. The manufacturing process of dry ice has not changed significantly in many decades and is a relatively simple process of pressurizing and cooling gaseous carbon dioxide. But because of its growing demand, packaging becomes vital. An attempt has been made to develop and automate LOGIXPRO based SCADA simulations for dry ice plant to improve packaging and extensively reduce operating labor costs.
HybridConcatenated Coding Scheme for MIMO Systems
Authors: Oluwafemi Ilesanmi Banjo
Published: October 2019

Abstract: Inthis paper, two hybrid concatenated super-orthogonal space-time trellis codes(SOSTTC) applying iterative decoding are proposed for flat fading channels. Theencoding operation is based on the concatenation of convolutional codes,interleaving and super-orthogonal space-time trellis codes. The firstconcatenated scheme consists of a serial concatenation of a parallelconcatenated convolutional code with a SOSTTC while the second consists ofparallel concatenation of two serially concatenated convolutional and SOSTTCcodes. The decoding of these two schemes is described, their pairwise errorprobabilities are derived and the frame error rate (FER) performances areevaluated by computer simulation in Rayleigh fading channels. The proposedtopologies are shown to perform better than existing concatenated schemes with aconstituent code of convolutional andspace-time codes in literature.
Little Core Based System on Chip Platform for Internet of Thing
Authors: Kim Sang Don , Lee Seung Eun
Published: October 2019

Although the technology scaling has enabled designers to integrate a large number of hardware blocks onto a single chip realizing System on Chip (SoC), problems arising from leakage current have made power reduction an important issue. The IoT platform has restricted power consumption because of battery power. In this paper, we propose our little core based IoT platform focusing on the low power and expandability. The experimental results demonstrate the feasibility of our proposal to the IoT.
A Path-Compression Approach for Improving Shortest-Path Algorithms
Authors: Arman Nabil , Khamayseh Faisal
Published: October 2019

Given a weighted directed graph G=(V;E;w), where w is non-negative weight function, G’ is a graph obtained from G by an application of path compression. Path compression reduces the graph G to a critical set of vertices and edges that affect the generation of shortest trees. The main contribution of this paper is finding shortest path between two selected vertices by applying a new algorithm that reduces number of nodes that needs to be traversed in the graph while preserving all graph properties.  The main method of the algorithm is restructuring the graph in a way that only critical/relevant nodes are considered while all other neutral vertices and weights are preserved as sub paths' properties.  Our algorithm can compress the graph paths into considerable improved percentage especially when the graph is sparse and hence improves performance significantly.
Al Microheater and Ni Temperature Sensor Set based-on Photolithography with Closed-Loop Control
Authors: Deekla Pittaya , Phatthanakun Rungrueang , Sujitjorn Sarawut , Chomnawang Nimit
Published: October 2019

This article proposes the development of a new low-cost microheater and temperature sensor set. It was developed based on Micro-Electro-Mechanical Systems (MEMS) which based on photolithography technique and lift-off technique. Thin film of aluminum was utilized as microheater and encompassed nickel temperature sensor inside in order to decrease response time of the desired temperature. To control the various temperatures correctly, closed-loop feedback control based on PI-controller was adapted into control circuit system. Microcontroller was implemented to control and observe the responses of temperature between 40°C and 120°C. Simulation and experimental results are also presented.
MDS-WLAN: Maximal Data Security in WLAN for Resisting Potential Threats
Authors: P.H. Latha , R Vasantha
Published: October 2019

The utmost security standards over Wireless Local Area Network (WLAN) are still an unsolved answer in research community as well as among the commercial users. There are various prior attempts in proposing security of WLAN that lacks focus on access point and is found to be quite complex implementation of cryptography. The proposed paper presents a novel, simple, and yet robust technique called as MDS-WLAN i.e. maximal data security in WLAN. The system is evaluated over laboratory prototype and mitigation measures are drawn for resisting wormhole attack, Sybil attack, and rogue access point issue in WLAN. The outcome of the MDS is compared with conventional AES and SHA that shows optimal communication performance and highest data security.
Remote Control of Mobile Robot using the Virtual Reality
Authors: Benaoumeur Ibari , Zoubir Ahmed-Foitih , Amar Reda Haniﬁ Elhachimi
Published: October 2019

In this paper we present the simulation and manipulation of  teleoperation system for remote control of mobile robot using the Virtual Reality (VR). The objective of this work is to allow the operator to control and supervise a unicycle type mobile robot. In this research we followed three ways: The use of articulated robotic mobile on the Web, the design of remote environment for the experimentation using the network for the mobile robot and the  architecture of control is proposed to facilitate the piloting of the robot. This work proposes a hardware and software architecture based on communication and information technologies to control the virtual robot to improve the control towards the remote robot. A path planning method is integrated to the remote control system. Results show the real possibilities offered by this manipulation, in order to follow a trajectory of the robot and to create applications with a distance access to facilities through networks like the Internet and wireless.
Performance Evaluation of Three PID Controller Tuning Algorithm on a Process Plant
Authors: Ibrahim Oladimeji , Amuda Sulyman A. Y. , Mohammed Olatunji O. , Kareem Ganiyu A.
Published: October 2019

Accurate tuning of controller in industrial process operation is prerequisite to system smooth operation which directly reduce process variability, improved efficiency, reduced energy costs, and increased production rates. Performance evaluation of a model based PID controller tuning algorithm on a chemical process plant is presented in this paper. The control action of three different PID controller tuning algorithms namely; Hagglund-Astrom, Cohen and Coon, and Ziegler-Nichols on the process plant was examined in a closed loop control configuration under normal operating condition and in the face of disturbance. LabVIEW software was used to model a chemical process plant from open loop control test data. The time domain response analysis of the controllers shows that each tuning algorithm exhibit different time response. Ziegler-Nichols algorithm shows the best performance with fastest rise time, settling time and was able to restore the system back to normal operating condition in a short time when subjected to disturbance compare to Cohen & Coon controller and Hagglund-Astrom algorithm settings.
Seasonal and Diurnal Variability of Rain Heights at An Equatorial Station
Authors: Yussuff Abayomi Isiaka , Haji Khamis Nor Hisham
Published: October 2019

Seasonal and diurnal rain heights variation at Universiti Teknologi Malaysia, Johor was studied. Slant path rain attenuation prediction and modeling is crucial to satellite equipment design; a major input is the rain height. One year meteorological ground-based, S-band, 3D RAPIC precipitation radar data at 500m resolution sourced from the Malaysian Meteorological Department was complemented with two-year TRMM PR data sourced from JAXA Earth Observation Research Center. After filtering, sorting, extraction and decoding of the data, vertical reflectivity profiles were constructed; from which rain height parameters were extracted. TRMM PR processed monthly (3A25) and daily (2A23) rainfall precipitation data were similarly used to obtain rain height parameters to investigate the seasonal and diurnal variations. Results from this work suggested that rain height parameters are influenced by both seasonal and diurnal variations. Higher seasonal variability was observed during south-west and pre-southwest monsoons. Rain heights were also observed to be higher in the night than in the day time.
A User- Based Recommendation with a Scalable Machine Learning Tool
Authors: Veena Ch. , Babu B. Vijaya
Published: October 2019

Recommender Systems have proven to be valuable way for online users to recommend information items like books, videos, songs etc.colloborative filtering methods are used to make all predictions from historical data. In this paper we introduce Apache mahout which is an open source and provides a rich set of components to construct a customized recommender system from a selection of machine learning algorithms.[12] This paper also focuses on addressing the challenges in collaborative filtering like scalability and data sparsity. To deal with scalability problems, we go with a distributed frame work like hadoop. We then present a customized user based recommender system.
Segmentation of Fingerprint Image Based on Gradient Magnitude and Coherence
Authors: Saparudin Saparudin , Sulong Ghazali
Published: October 2019

Fingerprint image segmentation is an important pre-processing step in automatic fingerprint recognition system. A well-designed fingerprint segmentation technique can improve the accuracy in collecting clear fingerprint area and mark noise areas. The traditional grey variance segmentation method is widely and easily used, but it can hardly segment fingerprints with low contrast of high noise. To overcome the low image contrast, combining two-block feature; mean of gradient magnitude and coherence, where the fingerprint image is segmented into background, foreground or noisy regions,  has been done. Except for the noisy regions in the foreground, there are still such noises existed in the background whose coherences are low, and are mistakenly assigned as foreground. A novel segmentation method based on combination local mean of grey-scale and local variance of gradient magnitude is presented in this paper. The proposed extraction begins with normalization of the fingerprint. Then, it is followed by foreground region separation from the background. Finally, the gradient coherence approach is used to detect the noise regions existed in the foreground. Experimental results on NIST-Database14 fingerprint images indicate that the proposed method gives the impressive results.
A New Approach for SAR Image Denoising
Authors: Mohan Babu. Y Murali , M. V. Subramanyam , Prasad. M. N Giri
Published: October 2019

In synthetic aperture radar (SAR)  imaging, the transmitted pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected  to get backscattered image. In this process, a speckle noise will be added because of the coherent imaging system and  makes the study of SAR images very difficult. For better SAR image processing, the speckle has to be removed in the initial stages of processing  and maintain all texture features efficiently. The BM3D method is generally considered as state of art method in denoising of SAR images. In this paper, it is proposed a technique to despeckle the speckle noise to the maximum extent while maintaining the edge characteristics.
Non-Convex Economic Dispatch with Prohibited Operating Zones through Gravitational Search Algorithm
Authors: Hota Prakash Kumar , Sahu Nakul Charan
Published: October 2019

This paper presents a new approach to the solution of optimal power generation for economic load dispatch (ELD) using gravitational search algorithm (GSA) when all the generators include valve point effects and some/all of the generators have prohibited operating zones. In this paper a gravitational search algorithm is suggested that deals with equality and inequality constraints in ELD problems. A constraint treatment mechanism is also discussed to accelerate the optimization process. To verify the robustness and superiority of the proposed GSA based approach, a practical sized 40-generators case with valve point effects and prohibited operating zones is considered. The simulation results reveal that the proposed GSA approach ensures convergence within an acceptable execution time and provides highly optimal solution as compared to the results obtained from well established heuristic optimization approaches.
Performance Measurement of a Compact Generator - Hydro Turbine System
Authors: Irasari Pudji , Sutikno Priyono , Widiyanto Puji , Maulana Qidun
Published: October 2019

This study aims to investigate the characteristic of a compact generator – hydro turbine system. The generator is of permanent magnet type and the turbine operates in a very low head. The integration of the two components is conducted in such a way that simplifies the construction of the conventional turbine generator. The method is by mounting the generator stator to the turbine casing and the permanent magnets are assembled in the perimeter of the turbine blade rotor. This simple construction is approached by making the stator from individual teeth and yoke. The permanent magnet generator (PMG) is designed to produce the nominal power of 300 Watt 50 Hz at 83 rpm of turbine shaft. All components of the integrated turbine- generator are totally immersed in the water stream. The stator has to be hermitic to avoid water entering the spool. Another issue investigated is the influence of the type of the stator inner casing material to the generator performance. The results show, the PVC material for inner casing has a good influence to the generator performance compared with the mild steel material.
Transmission protocols in Cognitive Radio Mesh Networks
Authors: M Anusha , Vemuru Srikanth , Gunasekhar T
Published: October 2019

A Cognitive Radio (CR) is a radio that can adjust its transmission limit based on available spectrum in its operational surroundings. Cognitive Radio Network (CRN) is made up of both the licensed users and unlicensed users with CR enable and disabled radios. CR’S supports to access dynamic spectrum and supports secondary user to access underutilized spectrum efficiently, which was allocated to primary users. In CRN’S most of the research was done on spectrum allocation, spectrum sensing and spectrum sharing. In this literature, we present various Medium Access (MAC) protocols of CRN’S. This study would provide an excellent study of MAC strategies.
Incremental Tag Suggestion for Landmark Image Collections
Authors: Chimlek Sutasinee , Piamsa-nga Punpiti
Published: October 2019

In recent social media applications, descriptive information is collected through user tagging, such as face recognition, and automatic environment sensing, such as GPS. There are many applications that recognize landmarks using information gathered from GPS data. However, GPS is dependent on the location of the camera, not the landmark. In this research, we propose an automatic landmark tagging scheme using secondary regions to distinguish between similar landmarks. We propose two algorithms: 1) landmark tagging by secondary objects and 2) automatic new landmark recognition. Images of 30 famous landmarks from various public databases were used in our experiment. Results show increments of tagged areas and the improvement of landmark tagging accuracy.
Defect Detection in Ceramic Images Using Sigma Edge Information and Contour Tracking Method
Authors: Kim Kwang-Baek , Woo Young Woon
Published: October 2019

In this paper, we suggest a method of detecting defects by applying Hough transform and least squares on ceramic images obtained from non-destructive testing. In the ceramic images obtained from non-destructive testing, the background area, where the defect does not exist, commonly shows gradual change of luminosity in vertical direction. In order to extract the background area which is going to be used in the detection of defects, Hough transform is performed to rotate the ceramic image in a way that the direction of overall luminosity change lies in the vertical direction as much as possible. Least squares is then applied on the rotated image to approximate the contrast value of the background area. The extracted background area is used for extracting defects from the ceramic images. In this paper we applied this method on ceramic images acquired from non-destructive testing. It was confirmed that extracted background area could be effectively applied for searching the section where the defect exists and detecting the defect.
Design of Quadcopter Robot as a Disaster Environment Remote Monitor
Authors: Sudarma Made , Swamardika I.B. Alit , Mas Pratama Adinata
Published: October 2019

As technology development increase, human more use robot technology to help in many fields. One of robot technology advances is the flying robot Quadcopter. The quadcopter robot is an Unmanned Aerial Vehicle or UAV that consists of four propellers and four brushless motors that function as actuator. Quadcopter was designed by using KK Board V 2.0 Flight Controller which is a series of motor rotation controller and all at once has Accelerometer censor as acceleration censor and Gyroscop censor as a balance or stability censor. The robot controlling is by using remote control (RC), and GoPro HD Hero2 camera was installed to monitor the condition of the environment. Result of testing is that the quadcopter has maximum load for 4.4 kg and maximum range distance of RC is 100 meters without any barrier and 50 meters with barrier.  In the testing, robot can fly with maximum height for 30 meters from land surface. The robot is equipped with camera, so the quadcopter flying robot can be used to monitor any places that are hard to reach.
Path Planning Based on Fuzzy Decision Trees and Potential Field
Authors: Iswanto Iswanto , Wahyunggoro Oyas , Imam Cahyadi Adha
Published: October 2019

The fuzzy logic algorithm is an artificial intelligence algorithm that uses mathematical logic to solve to by the data value inputs which are not precise in order to reach an accurate conclusion. In this work, Fuzzy decision tree (FDT) has been designed to solve the path planning problem by considering all available information and make the most appropriate decision given by the inputs. The FDT is often used to make a path planning decision in graph theory. It has been applied in the previous researches in the field of robotics, but it still shows drawbacks in that the robot will stop at the local minima and is not able to find the shortest path. Hence, this paper combines the FDT algorithm with the potential field algorithm. The potential field algorithm provides weight to the FDT algorithm which enables the robot to successfully avoid the local minima and find the shortest path.
Threshold Computation to Discover Cluster Structure: A New Approach
Authors: Mulay Preeti
Published: October 2019

Cluster members are decided based on how close they are with each other. Compactness of cluster plays an important role in forming better quality clusters. ICNBCF incremental clustering algorithm computes closeness factor between every two data series. To decide members of cluster, it is necessary to know one more decisive factor to compare, threshold. Internal evaluation measure of cluster like variance and dunn index provide required decisive factor. in intial phase of ICNBCF, this decisive factor was given manually by investigative formed closeness factors. With values generated by internal evaluation measure formule, this process can be automated. This paper shows the detailed study of various evaluation measuress to work with new incremental clustreing algorithm ICNBCF.
An Effective Cable Sizing Procedure Model for Industries and Commerial Buildings
Authors: Nair M. Pratap , Nithiyananthan K.
Published: October 2019

This paper mainly focuses on the cable sizing methods and calculation of electrical cables according to the various international standards. For instance, International Electrotechnical Commission (IEC), National Electrical Code (NEC), British Standard (BS) and Institute of Electrical and Electronics Engineers (IEEE). The basic philosophy underlying any cable sizing calculations are the same. The main objective of this research work is to develop effective cable sizing model for building services.
A Monitoring System for Integrated Management of IoT-based Home Network
Authors: Ryu Changsu , Hur Chang-Wu
Published: October 2019

Recently, the society is rapidly becoming highly integrated with the convergence of smart devices, SNS, big data, cloud, and IoT. This phenomenon is being spread more swiftly based on the wired and wireless communication infrastructure provided to most homes, as terminal devices for communication have more various functions and are being supplied to homes through a multi-vendor system and as several terminal devices are installed in each home to provide services. Particularly, various IoT terminal devices and services are being introduced to facilitate functions such as home crime prevention, gas valve control, control of electric apparatus and temperature-humidity sensors, and door control based on facial recognition, and integrated IoT-based management monitoring is required for TVs, washing machines, refrigerators, etc. Hence, in this study, a monitoring system for integrated home network management and data collection management, which solves problems of existing home network systems by connecting API Adaptor connection technology, message technology for integrated management of universal communications terminal devices and IoT devices, and data modelling technology to individual network platforms, was proposed.
A Daily Activity Monitoring System for Internet of Things-Assisted Living in Home Area Networks
Authors: Kim Hyun-Sik , Seo Jong-Su , Seo Jeongwook
Published: October 2019

In this paper, a daily activity monitoring system for Internet of Things (IoT)- assisted living in home area networks is proposed in order to provide care for elderly people who live alone. The proposed system consists of two main parts: an IoT-assisted living space with contactless activity sensors, a help trigger, and an emergency gateway and a daily activity monitoring server with a range of components including data collection, event and user management, activity analysis and reporting, and so on. The contactless activity sensors can be placed anywhere in the home, and the emergency gateway collects data from them, detects emergency situations reported through the help trigger, and communicates with the daily activity monitoring server. The server analyzes and reports the daily activities and activity patterns of elderly users using a predefined activity index. In addition, unexpected emergency situations can be estimated and prevented through analysis of the activity information.
Frequency and Time Response of Power Plant Grounding System Exposed to Lightning Strike
Authors: Nikolovski Srete N , Baus Zoran , Knežević Goran
Published: October 2019

This paper examines the frequency response of power plant grounding system exposed to the lightning current. Large amount of current generated by the stroke flow in the grounding system of power plant and dissipate in the soil.  The electric and magnetic field generated by such high voltages and currents may cause damage of equipment and may be dangerous for the personnel in power plant.  For the every given frequency obtained using Fast Fourier Transformation (FFT) of lightning current impulse, electromagnetic field theory approach is used to solve Maxell’s equation and compute scalar potential, electric and magnetic field. Also, the influence of the point in which lightning current is diffused in the grounding system is presented. Three dimensional plots of spatial distribution of scalar potential, electric and magnetic field are presented. The time domain response of scalar potential, electric and magnetic field on one profile is also presented.
An Effective Development and Analysis of a Mobile Robot
Authors: Sahu Jagannath , Choudhury B.B. , Patra M.R.
Published: October 2019

This paper deals with the design of a battery operated Mobile Robot and development of various modes of its control. The Mobile Robot can be operated in three different modes, namely Dual Tone Multi Frequency (DTMF), Radio Frequency (RF) and ZigBee thereby enabling a multi- dimensional control system. The Mobile Robot is a single seated carrier. It can also be used to transport substantial amount of physical load for short distances. It is a prototype of a multi-use robot having a wide range of applicability according to the requirement after suitable modifications. Thus it can be easily applied inside a hospital to carry patients, as a wheel chair for physically challenged people, to carry goods in large shopping malls, as golf cars, can also be used for industrial purposes with adequate modifications. It can also be used as cleaning machine at railway stations, airports, museums, large halls. It uses a DC power source and not any conventional energy sources. Hence it is ecofriendly and this Mobile Robot can be termed as an advancing step in the field of battery operated vehicles.
Sufficient Authentication for Energy Consumption in Wireless Sensor Networks
Authors: Sukavasi Hema Gopinath , Kanagala Lokesh , Shaik Riaz
Published: October 2019

Given the understanding of the prospective WSN programs and because of source restrictions, key management emerges as a complicated problem for WSNs. One of the main issues when developing a key management scheme is the system scalability. Indeed, the method should assistance a huge number of nodes to allow a large range implementation of the system. In this paper we implemented a performance trade-off research of power intake vs. Quality of Solutions obtain in stability, suitability, and security for redundancy control of clustered heterogeneous wireless indicator systems using multipath routing to response customer concerns. We urbanized a novel probability style to evaluate the best redundancy stage in terms of direction redundancy (mp ) and resource redundancy (ms), as well as the best attack identification configurations with regards to the number of voters (m) and the attack incantation interval under which the life-time of a heterogeneous wireless sensor network is optimized while fulfilling the stability, timeliness and protection specifications of question processing applications in the existence of untrustworthy wireless communication and harmful nodes. Lastly, we used our analysis outcomes to the style of powerful redundancy management criteria to recognize and implement the best design parameter configurations at playback in reaction to environment changes to extend the program life-time
Insights on Extent of Effectiveness, Trend, and Gap in Existing Frameworks for e-Procurement System
Authors: Madhusudan N , Rao L. Manjunatha
Published: October 2019

With the advancement of technologies, the organization and business applications are witnessed with the increasing trends to adopt cut edge technologies to normalize their business process.  However, this trend was not observed much on the e-Procurement system, where the existing users still place the purchase order using conventional web-based approach that cannot address various ongoing challenges in eProcurement system. This paper attempts to review the existing trends and challenges of web-based eProcurement system and discusses that with the adoption of cloud computing as present trend, such ongoing issues of eProcurement can be addressed. The paper discusses the effectiveness of the existing techniques with interpretation of research gap.
Statistical Analysis on Preliminary Breakdown Pulses of Positive Cloud-to-Ground Lightning in Malaysia
Authors: Wooi Chin-Leong , Abdul-Malek Zulkurnain , Ahmad Noor Azlinda , Mokhtari Mehrdad , Salimi Behnam
Published: October 2019

This aim of this paper is to study the preliminary breakdown pulses (PBP) of positive cloud-to-ground (+CG) lightning flashes in Malaysia. There is a difference in PBP characteristics when a comparison is made between positive and negative flashes. To the best of the authors’ knowledge, this is the first time the PBP characteristics preceding positive lightning in Malaysia are reported. This study was carried out in Johor Bahru, Malaysia using a broadband antenna system during a monsoon period (Oct-Dec, 2012). It is found that the PBP for +CG lightning is much more complicated compared to the positive cloud-to-ground (–CG) lightning since only negative PBP trains are usually present in the –CG lightning.  Out of 21 analyzed positive flashes, four types of PBP trains were identified according to their initial polarities. These are negative PBP (20%), positive PBP (15%), PBP with polarity reversal (10%), and PBP with irregular polarity (15%). The balance 40% of flashes are without any PBP. The effect of geographical region may also cause the observed differences in the cloud discharge processes including the types of PBP. More studies are needed to determine the relationship between the return stroke and PBP.
Secure Digital Signature Scheme Based on Elliptic Curves for Internet of Things
Authors: Koppula Sumanth , Muthukuru Jayabhaskar
Published: October 2019

Advances in the info and communication knowledge have led to the emergence of Internet of things (IoT). Internet of things (loT) is worthwhile to members, trade, and society seeing that it generates a broad range of services by interconnecting numerous devices and information objects. Throughout the interactions among the many ubiquitous things, security problems emerge as noteworthy, and it is signiﬁcant to set up more suitable solution for security protection. Nonetheless, as loT devices have limited resource constraints to appoint strong protection mechanisms, they are vulnerable to sophisticated security attacks. For this reason, a sensible authentication mechanism that considers each useful resource constraints and safety is required. Our proposed scheme uses the standards of Elliptic Curve digital signature scheme and evaluates systematically the efficiency of our scheme and observes that our scheme with a smaller key size and lesser infrastructure performs on par with the prevailing schemes without compromising the security level.
Field Oriented Control of PMSM Supplied by Photovoltaic Source
Authors: Boudjemaa Mehimmedetsi , Rachid Chenni
Published: October 2019

The Permanent magnet synchronous motor (PMSM) is suitable for so much application, such as traction, aeronautics and generally in industrial automated processes. In our work, we will study the application of PMSM in renewable energies especially solar pumping. Our objective is to model the complete system, including the photovoltaic inverter, PMSM and the centrifugal pump under Matlab/Simulink environment. Solar panels generate electrical energy as direct current by direct conversion of solar radiation using semiconductor materials made of monocrystalline, polycrystalline or amorphous silicon. The energy received depends on radiation and on ambient temperature. The permanent magnet synchronous motor (PMSM) is not stable in open loop. To control the PMSM in terms of speed, torque or position, we need to implement vector control.
We will establish the field oriented control of a PMSM supplied by photovoltaic source with a focus on their applications in variable speed domain.
Load Balancing Techniques for Efficient Traffic Management in Cloud Environment
Authors: Sasidhar Talasila , Havisha Vani , Koushik Sai , Deep Mani , Reddy V Krishna
Published: October 2019

Cloud computing is an internet based computing. This computing paradigm has enhanced the use of network where the capability of one node can be utilized by other node. Cloud service provides access on demand to distributive resources such as database, servers, software, infrastructure etc. in pay as you go basis. Load balancing is one of the vexing issues in distributed environment. Resources of service provider need to balance the load of client request. Load balancing is adapted in order to increase the resource consumption in Data centers that leads to enhance the overall performance of system achieving client satisfaction.
Building Fault Tollrence within Clouds at Network Level
Authors: Jammalamadaka Sastry Kodanda Rama , Duvvuri Kamesh Bala Krishna , CH Devi Anusha , P Padmini , G Siva Anjaneyulu
Published: October 2019

Cloud computing technologies and infrastructure facilities are coming up in a big way making it cost effective for the users to implement their IT based solutions to run business in most cost-effective and economical way. Many intricate issues however, have cropped-up which must be addressed to be able to use clouds the purpose for which they are designed and implemented. Among all, fault tolerance and securing the data stored on the clouds takes most of the importance. Continuous availability of the services is dependent on many factors. Faults bound to happen within a network, software, and platform or within the infrastructure which are all used for establishing the cloud. The network that connects various servers, devices, peripherals etc., have to be fault tolerant to start-with so that intended and un-interrupted services to the user can be made available. A novel network design method that leads to achieve high availability of the network and thereby the cloud itself has been presented in this paper
Pre-processing Technique for Wireless Capsule Endoscopy Image Enhancement
Authors: Shahril Rosdiana , Baharun Sabariah , Islam AKM Muzahidul
Published: October 2019

Wireless capsule endoscopy (WCE) is used to examine human digestive tract in order to detect abnormal area. However, it has been a challenging task to detect abnormal area such as bleeding due to poor quality and dark images of WCE. In this paper, pre-processing technique is introduced to ease classification of the bleeding area. Anisotropic contrast diffusion method is employed in our pre-processing technique as a contrast enhancement of the images. There is a drawback to the method proposed B. Li in which the quality of WCE image is degraded when the number of iteration increases. To solve this problem, variance is employed in our proposed method. To further enhance WCE image, Discrete Cosine Transform is used with anisotropic contrast diffusion. Experimental results show that both proposed contrast enhancement algorithm and sharpening WCE image algorithm provide better performance compared with B. Li’s algorithm since SDME and EBCM value is stable whenever number of iterations increases, and sharpness measurement using gradient and PSNR are both improved by 31.5% and 20.3% respectively.
Accurate Iris Localization Using Edge Map Generation and Adaptive Circular Hough Transform for Less Constrained Iris Images
Authors: Kumar Vineet , Asati Abhijit , Gupta Anu
Published: October 2019

This paper proposes an accurate iris localization algorithm for the iris images acquired under near infrared (NIR) illuminations and having noise due to eyelids, eyelashes, lighting reflections, non-uniform illumination, eyeglasses and eyebrow hair etc. The two main contributions in the paper are an edge map generation technique for pupil boundary detection and an adaptive circular Hough transform (CHT) algorithm for limbic boundary detection, which not only make the iris localization more accurate but faster also. The edge map for pupil boundary detection is generated on intersection (logical AND) of two binary edge maps obtained using thresholding, morphological operations and Sobel edge detection, which results in minimal false edges caused by the noise. The adaptive CHT algorithm for limbic boundary detection searches for a set of two arcs in an image instead of a full circle that counters iris-occlusions by the eyelids and eyelashes. The proposed CHT and adaptive CHT implementations for pupil and limbic boundary detection respectively use a two-dimensional accumulator array that reduces memory requirements. The proposed algorithm gives the accuracies of 99.7% and 99.38% for the challenging CASIA-Iris-Thousand (version 4.0) and CASIA-Iris-Lamp (version 3.0) databases respectively. The average time cost per image is 905 msec. The proposed algorithm is compared with the previous work and shows better results.
Analysis of Brute Force Attacks with Ylmf-pc Signature
Authors: Arzhakov Anton Valeryevich , Silnov Dmitry Sergeevich
Published: October 2019

Brute force techniques used in many fields of authentication process. Ftp servers, web servers and mail servers very often got threatened by attackers. Old technique for mail service brute force still working and it can be easily detected by special signature.
A Generic Review on Effective Intrusion Detection in Ad hoc Networks
Authors: Gopichand G. , Saravanaguru RA.K.
Published: October 2019

Ad hoc network is specifically designed for the establishment of a network anywhere and anytime, which does not have any fixed infrastructure in order to support the mobility of the users in the network. The network is established without using any access points or base stations for communication implemented in multi hop schemes. Hence we call an Ad hoc network as a collection of nodes which are mobile in nature with a dynamic network infrastructure and forms a temporary network. Because of dynamic topological changes, these networks are vulnerable at the physical link, and they can easily be manipulated. An intruder can easily attack the Ad hoc network by loading the network resources which are available, such as wireless links and energy (battery) levels of other users, and then starts disturbing all the users. This paper provides a comparative survey on the various existing intrusion detection systems for Ad hoc networks based on the various approaches applied in the intrusion detection systems for providing security to the Ad hoc network.
A Novel Loom for Alacrity of Protected Lawsuit dealings using Cloud Computing Environment
Authors: Subba Rao B.V. , Prasad J. Rajendra , Kavitha D. , Sirisha J. , Rani K. Swaroopa
Published: October 2019

This paper suggest a well-organized information system for facilitate the litigation procedures Information System courts. The purpose is to decrease the duration of processing cases in courts. The aspiration is to save the time and effort of judges and lawyer. In addition, we make use of the advantages of electronic systems and reducing traffic especially in developed countries. Advanced Encryption Standard is used to encrypt all the manipulated data for each case. All read document are encrypted to attain secure information system Litigation process. This is because the big data for all cases will be stored on cloud environment.
Incremental Learning on Non-stationary Data Stream using Ensemble Approach
Authors: Thalor Meenakshi Anurag , Patil Shrishailapa
Published: October 2019

Incremental Learning on non stationary distribution has been shown to be a very challenging problem in machine learning and data mining, because the joint probability distribution between the data and classes changes over time. Many real time problems suffer concept drift as they changes with time. For example, an advertisement recommendation system, in which customer’s behavior may change depending on the season of the year, on the inflation and on new products made available. An extra challenge arises when the classes to be learned are not represented equally in the training data i.e. classes are imbalanced, as most machine learning algorithms work well only when the training data  is balanced. The objective of this paper is to develop an ensemble based classification algorithm for non-stationary data stream (ENSDS) with focus on two-class problems. In addition, we are presenting here an exhaustive comparison of purposed algorithms with state-of-the-art classification approaches using different evaluation measures like recall, f-measure and g-mean
Efficient Feature Subset Selection Algorithm for High Dimensional Data
Authors: Chormunge Smita , Jena Sudarson
Published: October 2019

Feature selection approach solves the dimensionality problem by removing irrelevant and redundant features. Existing Feature selection algorithms take more time to obtain feature subset for high dimensional data. This paper proposes a feature selection algorithm based on Information gain measures for high dimensional data termed as IFSA (Information gain based Feature Selection Algorithm) to produce optimal feature subset in efficient time and improve the computational performance of learning algorithms. IFSA algorithm works in two folds: First apply filter on dataset. Second produce the small feature subset by using information gain measure. Extensive experiments are carried out to compare proposed algorithm and other methods with respect to two different classifiers (Naive bayes and IBK) on microarray and text data sets. The results demonstrate that IFSA not only produces the most select feature subset in efficient time but also improves the classifier performance.
Carrier-Based PWM Technique for Inverter-Fed Multiphase Induction Motor
Authors: B Jyothi , Rao M.Venugopala
Published: October 2019

Multiphase (more than three phases) is very much popular due to their eminent features compared to conventional three-phase counter parts. In order to drive the multiphase machine, it requires same phase input w.r.t the no of phases at the output. This paper mainly focuses on five phase, because even after failure of one phase, the performance does not degraded much. Voltage source inverters (VSIs) are used to feed the induction motor. voltage source inverters (VSIs) switches are ON and OFF precisely to control the output. In order to implement harmonic waveform characteristic, carrier based PWM (pulse width modulation) is performed. By using with and without third harmonic injection machine torque is highly improved. Using MATLAB software, the simulation results are presented in the form of computer traces and high traded performance of the machine are discussed.
A Modulation Scheme for Floating Source Multilevel Inverter Topology with Increased Number of Output Levels
Authors: Bassi Hussain M.
Published: October 2019

This paper presented and studied a new switching scheme for floating source multilevel inverters to produce more levels with the same number of switching devices. In the proposed scheme, the function of the dc sources, except the inner one, is to build up square wave or blocks that is close in the shape to the desired sinusoidal wave. The job of the inner switching devices is to increase the number of the levels to produce smother sinusoidal wave in the inverter output. This job can be done by adding or subtracting the value of the inner dc source to/from the blocks. The topology used in this paper is based on the conventional floating source multi-level inverter using two legs. This topology and modulation technique show substantial reduction in the total harmonics distortion when the modulation technique is the hybrid method. The performance of the proposed switching scheme in generating more levels has been evaluated by PSCAD/EMTDC simulation.
Estimation of Optimum Tilt Angle of PV Panel for Maximum Energy Harvesting
Authors: Kathirvelu K. Parkavi , Viswanathan B.
Published: October 2019

In solar energy conversion system harvesting of maximum energy is necessary in order to maximize the utilization of available energy. The maximum energy from the solar panel can be extracted by keeping solar panel in an optimum tilt angle. Various approaches are available to find optimum tilt condition of the solar panel.  In this work two different positions of the panel such as fixed tilt, seasonal tilt were analyzed using isotropic and anisotropic models. Among the various models available in the above said broad category six models such as Liu-Jordan, Koronokis Model, Badescu model, Hay and Davis model, Reindel model,  Hay&Davis and Reindel & Klucher combined model are incorperated to predict the  monthly average of daily global solar irradiation of the inclined panels held in SASTRA University, Thanjavur (India) location. Statistical tests have been performed in order to evaluate the consequences predicted by the models with the experimental results. Finally a detailed comparison between fixed tilt and seasonal tilt of the panel has been carried out and the suitable model for this location is also suggested.