bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Enhancement and IoT Based Controlling for Smart Home
Authors: Kayalvizhi S , Pradeep Kumar K , Sai Akhil S , Vinay T
Published: July 2018

Automation is becoming vastly used due to its numerous advantages. Building automation refers to control any type of building appliances by using mobile network or the local area network. It is a process of operating or controlling electronic appliances by reducing the basic human requirments.
Dynamic High Availability Architecture Framework for SOA Computing
Authors: Kumaresan S , Devi.K.A Sumithra
Published: July 2018

In Software technology stackCloud services provides easy coupling implementation to enhance encapsulation data between multiple platform data exchanges. My finding towards  introducing High Availability Architecture for cloud environment which covers Load Balancing, Failover, High Availability Resources. To achieve thisfeatures it’s identified framework architecture which is called as Dynamic High Availability Architecture Framework for SOA Computing which increase cloud services standard inhigh witheasy adaptable security. Even though cloud service supports loose coupling and isolation business logics. At current cloud service provide wants to launch new web service request on fly same service will notnotified into client in real-time scenario.  To overcome this complicated situation we have introduced (GHAFC) Generic Architecture Framework in Cloud Computing. Which will support data exchanges between producer and consumer onthe fly with real time scenario.
Epileptic Seizure Detection In EEG Signals Using Non-Linear Analysis
Authors: Cleatus T Saneesh , S Sunil , Naik Snigdha , Sathyanarayana Swathi , Afnan Syed
Published: July 2018

Epilepsy is a chronic disorder of the central nervous system that occurs irregularly and unpredictably, due to the temporary electrical disturbances in the brain. According to World Health Organization (WHO), approximately 50 million people worldwide have epilepsy, making it one of the most common neurological diseases globally [1]. It predisposes individuals to experience recurrent seizures. Electroencephalogram (EEG) is a technique used to measure the electrical activity of the brain signals for the diagnosis of neurological disorders, and it also paves the way for seizure detection using scalp and intra-cranial EEGs as the input data. In this paper, we have proposed a method for non-linear feature based epileptic seizure detection by extracting five features namely Entropy, Mean, Skewness, Standard Deviation and Band Power. The classification techniques used are K-nearest neighbor (KNN) and Support vector machine (SVM) which gave an accuracy of 95.33% and 100% respectively.
A Study on Spam Detection Methods for Safe SMS Communication
Authors: Bhatia Shailee , . .
Published: July 2018

The electronic communication enables the instant and all type availability of user. The different form of information transition can be drawn in the form of SMS and emails. But these emails and SMS systems are also used by the individuals and firm as medium of their advertisement. Spam messages not only involves the unwanted messages but it also includes some viruses and threat to the security system. In this paper, a study to the SMS filtration methods is provided. The paper has explored the types of SMS spams, its threats and various filtration methods to detect the spam SMS.
Structural Health Monitoring using Varied Machine Learning Algorithms
Authors: Shanthi B , N Mahalakshmi , M Shobana
Published: July 2018

Structural Health Monitoring is essential in today’s world where large amount of money and labour are involved in building a structure. There arises a need to periodically check whether the built structure is strong and flawless, also how long it will be strong and if not how much it is damaged. These information are needed so that the precautions can be made accordingly. Otherwise, it may result in disastrous accidents which may take away even human lives. There are various methods to evaluate a structure. In this paper, we apply various classification algorithms like J48, Naive Bayes and many other classifiers available, to the dataset to check on the accuracy of the prediction determined by all of these classification algorithms and ar-rive at the conclusion of the best possible classifier to say whether a structure is damaged or not.
Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit
Authors: R Shreedhar
Published: July 2018

The water used for agriculture is 70% globally. This has resulted in new methods of saving water. Hence water saving techniques has to be practiced.  In water resources planning and management, optimization techniques is used for limited use of resources such as such as water, land, production cost, manpower, fertilizers, seeds, and pesticides. For cultivating each crop, the land area needs to be planned properly. Hence the crop pattern has to be decided optimally depending on available water resources and on economic basis. Therefore farmer needs to be educated to adopt optimum cropping pattern which maximises the economic returns. Hence the study is taken up to optimize the allocation of land areas to crops. The objective function for multi crop model were formulated using linear programming for maximizing the net benefits. The study resulted in optimal cropping pattern for different water availabilities ranging from 2000 Ha-m to 5500 Ha-m. The maximum net benefit for the study area varied from Rs. 53.2 Crores for 2000 Ha-m water availability to Rs.78 Crores at 5000 Ha-m water availability.
Design of Reconfigurable Block FIR Filter Architecture and Implementation on Hardware
Authors: S Suji , P Radhika
Published: July 2018

In this paper, a reconfigurable block FIR filter which supports variable filter length is proposed. This recon-figurable block FIR filter uses block based design. Hence, this is an algorithm free architecture. This proposed filter can be used for 5G air interface.The proposed filter produces more efficient power reduction than that of the other filter.The number of LUTs and registers are also reduced in the reconfigurable block FIR filter. The designed filter has been implemented in the ZYNQ xc7020 hardware device using the vivado 2015.4.The technique used for hardware implementation is the IP creation and debug-ging.The debugging helps in the monitoring and triggering the hardware device.
Design of All Digital Phase Locked Loop for Wireless Applications
Authors: R Swetha , Manjula J , Ruhan bevi A
Published: July 2018

This paper presents a design of All Digital Phase Locked Loop (ADPLL) for wireless applications. It is designed using master and slave Dflipflop for linear phase detector, counter based loop filter and ring oscillator based Digital controlled oscillator(DCO). The programmable divider is used in the feed-back loop which is used has a frequency synthesizer for wireless applications. It is implemented in 180nm CMOS technology in Cadence EDA tool. The proposed ADPLL has locking period of 50ps and the operating frequency range of 4.7GHz and power consumption of 26mW.
Distributed and Adaptive Efficient Energy Aware Routing Procedure for MANETs
Authors: Santhi Sri T , Rajendra Prasad J , Kiran Kumar R
Published: July 2018

In mobile ad hoc networks {MANET}, power or energy consumption is a complex representation to define extensive communication between different nodes. To define energy routing scenario with respect to efficient energy maintenance to decrease the over burden of the protocol hierarchy wireless communication. To achieve these goals, a Synchronization-based Efficient Energy (SEE) calculation is supported along with the position opportunistic routing protocol previously to reduce overhead burden of server to maintain efficient energy. It consists distributed and random nature in which node consists local communication by facilitate packet transmitting in between different intermediate nodes based on backward communication. Because of random routing scenario of ad hoc networks, maintenance of capacity of each node for relay configuration at each node is a complex task. Due to that further extension of SEE, we introduce Collaborative & Efficient Energy Aware Distributed (CEEAD) approach, which consists routing representation in energy awareness scenario for wireless networks and it also supports cluster head representation of each node based on its random changes of power consumption in network communication. Our proposed approach consists cluster connectivity at each node because random routing process for wireless ad hoc networks. Our experimental results show effective increasing of network life time with scalable data communication in wireless networks.
Automated modeling of shaft leading elements in the rear axle gear
Authors: Matarneh Rami , Sotnik Svitlana , Belova Nataliya , Lyashenko Vyacheslav
Published: July 2018

The aim of this work is to automate the design process of the "shaft leading" of the rear axle gear in order to reduce the time and effort. All the technical requirements for the design process are given and SolidWorks development medium is selected. A 3D model was developed and steel material 40X was added and its parameters were specified. A finite element analysis of the created design performed under the action of the torque transmission force.
FPGA-based color enhancement algorithm for thermal object characterization
Authors: Park Chan Su , Kim Hi Seok
Published: July 2018

Thermal imaging is used in numerous applications, especially in security, medical and other industry which requires a non-contact temperature measurement. This proposed algorithm improves the thermal image and makes more visible the separation of the sampled object from its background. The extracted image is produced by the following techniques: the pre-processing techniques are the combination of K-means clustering, and inverted Otsu method; canny edge detection and color mapping are used for highlighting the necessary characteristics of the sampled thermal image. The experimental results of this proposed algorithm show significant distinguishable features in terms of edge and color enhancement. It outperforms the other color correction method in terms of processing time, and the implementation reduced the resource utilization. Moreover, it minimizes the misclassified pixel in different noise variance. This work is synthesized with Xilinx Zync 7000 ZED ZC702.
Fraud prediction for credit card using classification method
Authors: Monika Er , Amarpreet Kaur Er
Published: July 2018

With the improvement of innovation like credit cards, debit cards, mobile banking, Internet managing an account is the mainstream medium to exchange the cash starting with one record then onto the next. Credit card is picking up fame day by day which expands the online exchange with the expansion in online shopping, online charge payment, insurance premium and different charges so the extortion cases identified with this are likewise expanding and it puts an extraordinary anxiety on the economy, affecting the two clients and budgetary bodies. It costs cash as well as an awesome measure of time to reestablish the damage done. In this paper, we look whether data mining procedures are valuable to estimate and categorize the client's credit risk score (normal/fraud) to beat the future dangers. The reason for existing is to keep the clients from online exchange by utilizing particular Data mining classification methods. The fakes are ascertained by Naïve Bayes method way to deal with break down the exchange is actual or fake. The exploratory outcome demonstrates that our model has great classification accuracy, recall and precision.
Fog Computing, Applications, Security and Challenges, Review
Authors: Rahman Gohar , Wen Chuah Chai
Published: July 2018

The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented.
Design of rectangular patched microstrip antenna at 2300 MHz
Authors: Siva Reddy B , V.R.Vittal M , ThillaiThilagam.J Salai
Published: July 2018

This research paper explains the design of rectangular shaped patch microstrip antenna power fed with coaxial probe feed, which is working around 2300 MHz 4G LTE band of frequency. It is designed by using the FR4 substrate. It applies to the devices which work around this frequency. Theoretical calculations are made and simulation results are performed using Zeland IE3D Software. Their simulation of antenna results exhibits the gain of 1.5 dB, return loss of -14 dB, VSWR of 1.5 and bandwidth of 80 MHz.
Energy Efficient VLSI Architecture for Variable Iterative 4G LTE Turbo Decoder
Authors: K N Manjunatha , A Meshram Vaibhav
Published: July 2018

The Long Term Evolution (LTE) networks main objective is to support the next generation wireless communication systems. But most of the LTE approaches are suffer from decoding latency. Hence results in drop of data rate and this is not supported by the 4G LTE standards. To overcome this few parallel architectures has been introduced with the cost of power and silicon chip area. One promising decoding algorithm to overcome the decoding latency is Maximum a Posteriori (MAP) algorithm. The MAP has two computationally challenging α and β units. These two units have critical path and are to be reduced. A novel architecture for Add-Compare-Select (ACS) is proposed with clock gating techniques to reduce the unnecessary power dissipation across the recursive computational units. The proposed technique is applied with max-log MAP algorithm to precise the approximation. The overall design in implemented in a 45nm CMOS technology and results in 179.2mW of power dissipation which results in 34.6% less power compared to reported design while monitoring the moderate or same throughput level.
A singular value decomposition based approach for the compression of encrypted images
Authors: Hatem Hiyam , Majeed Raed , Waleed Jumana
Published: July 2018

Image compression is a process which supplies a good solution to the current problems of data storage by reducing redundancy, and irrelevance within images. This paper provides effective encryption then compression technique applied for compressing images within the entire domain of encryption. The Singular Value Decomposition (SVD) application has been described for the results of compression from an image encrypted based on Discrete wavelet transforms (DWT). Initially, the original image has been decomposed into a pyramid of wavelet by utilizing DWT. The DWT subbands are enciphered via a pseudo random number and pseudo random permutation. Then, encrypted images are compressed evaluated by the SVD method which encompasses the corresponding singular values and singular vectors. The performance evaluated on several images and the experimental results and security evaluation is given to validate the explained goals of high security and good compression performance.
Comparative analysis of storage techniques for a grid with renewable energy sources
Authors: Reddy Salkuti Surender , Mook Jung Chan
Published: July 2018

This paper presents the comparative analysis of different energy storage techniques used in the utility grid connected with the renewable energy sources (RESs). Energy storage is required to match the demand and supply of energy. However, with the integration of RESs to the grid increases the mismatch between the supply and demand due to the intermittence of RESs. In this paper, it is shown that the energy stor-age systems provide a better solution to the integration of different RESs to the existing grid. The energy storage systems are the key com-ponents for replacing the conventional fossil fuel plants with RESs. It is hard to evaluate the different types of energy storage techniques between themselves due to the fact that each technology could be used in a different way and are more like compliments. Further, research needs to be done on storage techniques to continue to increase the benefits while reducing the associated costs. The energy storage tech-niques show great potential to help the RESs and smart grid to meet the world’s growing energy demand. This paper has presented the comparative analysis of various energy storage systems in terms of their design, cost, geographical location, advantages and disadvantages.
Artificial Neural Network Optimization with Levenberg–Maruardt Algorithm for Dynamic Gesture Recognition
Authors: John Dy Stephen , Adrianne Gonzales Matthew , Lozano Lenard , Angelo Suniga Miguel , Abad Alexander
Published: July 2018

Movement has long been a mode of expression and communication. A challenge arises when we try to bestow the ability to learn and recognize movements to machines, specifically computers, but with the development of sensor technology and the growing interest in machine learning algorithms, there is an opportunity to explore and formulate new approaches. The study focuses on the use of the Levenberg Marquardt Algorithm as an optimization algorithm for a multilayer Artificial Neural Network in constructing a predictive model for dynamic gestures. Extraction of the data set was made integral to the research. The study concludes that the network architecture is adequate for gesture recognition, with an average recognition rate of 83%, but a larger data set may show to improve this value.
Experimental Investigation of the LTC5553 Microcircuit in the Frequency Multiplication Mode
Authors: Y. Rumyantsev K , N. Zikiy A , N. Zlaman P , O. Mamchenko S
Published: July 2018

Mixer chips have wide functionality, which is not always declared by the manufacturer. The purpose of the experimental study is to prove the possibility of implementing a frequency multiplier based on the mixer chip LTC5553. An experimental study of the LTC5553 chip in the mode of frequency multiplication was performed 2, 4 and 6 times. The second harmonic transmission coefficient is not less than minus 17.25 dB, for the fourth harmonic not less than minus 35 dB, for the sixth harmonic - not less than minus 42.67 dB. The transmission power factor depends little on the input power. Recommendations for modes of using a mixer as a frequency multiplier are given.
Method for Contactless Determination of the Height of A Fuel Assembly by Means of A 3-D Reconstruction of A Collinear Stereopair Images
Authors: Kravtsov S , Rumyantsev K
Published: July 2018

A method for determining the head height of fuel assemblies in the reactor core of a nuclear power unit using a 3-D reconstruction of a stereopair of collinear images is considered. The method is based on the principle of statistical evaluation of the height of a set of points for a 3-D reconstruction of the contour of the head of the fuel assembly. To obtain a stereopair of images, it is suggested to use a collinear digital stereo-vision system. A model experiment was carried out. The results are compared with the known method for determining the height of the heads of fuel assemblies, based on an estimate of the height of the centers of gravity of the contours of fuel assembly heads. The proposed method shows a higher accuracy in solving the problem of determining the heights of fuel assembly heads in comparison with the known method.
Investigation on Processing of Real-Time Streaming Big Data
Authors: Buthukuri Bhavani , Rajeyyagari Sivaram
Published: July 2018

MapReduce is the most widely used for huge data processing and it is a part of the Hadoop big data and this will provide the quality and efficient results because of their processing functions. For the batch jobs, Hadoop is the proper and also there is inflated request for non-batch elements homogeneous interactive jobs, and high data currents. For this non-batch assignments, consider Hadoop is not useful and present situations are recommending to these new crises. In this paper, these are divided into two stages that are real-time processing, and stream processing of big data. For every stage, the models are deliberate, stability and diversity to Hadoop. For every group, we have provided the working systems and structures. For the creation of the new examples, some experiments are conducted to improve the new results belongs to available Hadoop-based solutions.
Optimisation of Gallic Acid and Quercetin Extraction from Phyllanthus Niruri
Authors: Suok Ling Nguang Suok , Ling Yeong Yi , Sook Fun Pang Sook , Gimbun Jolius
Published: July 2018

This paper presents an optimization study of gallic acid and queretin extraction from Phyllanthis niruri by using response surface methodology. Gallic acid and quercetin was extracted with the aid of sonication and the polyphenols content was analyzed using Ultra Performance Liquid Chromatography (UPLC). The effect of extraction time, amplitude and ethanol concentration on the yield of gallic acid and quercetin were investigated. The optimum gallic acid yield (10.43 ± 0.28 mg GA/g DW) was found in ethanol concentration of 40.0%, extraction time of 15 minutes and amplitude of 86.85% after solving the regression equation. Meanwhile, the optimum condition to obtain the highest yield of quercetin (17.48 ± 0.21 mg Que/g DW) was found in ethanol concentration of 40.0%, extraction time of 15 minutes and amplitude of 75%. The findings in this work may serve as a useful guide to obtain highest extraction yield of gallic acid and quercetin from Phyllanthus niruri.
RGB Color Image Encryption-Decryption Using Image Segmentation and Matrix Multiplication
Authors: J. Aqel Musbah , ALQadi Ziad , Ahmed Abdullah Ammar
Published: July 2018

Digital RGB color images are considered as the most widely used data type through the internet, so there is a need for efficient and secure techniques to transmit and protect these digital images and this is a matter of high priority process. Many researchers had developed different techniques to increase the security of image transmission, and most of these techniques suffer from the low speed of the encryption-decryption process. In this paper, a novel technique is proposed that could be used for digital color image encryption-decryption. The performance of this technique is compared with the performance of other techniques and it has shown the advantages of using this technique over other techniques in enhancing the throughput and speed of encryption-decryption process.
Academic Social Network Sites: Opportunities and Challenges
Authors: Mohammad Mumtazimah , M. Lazim Yuzarimi , Rosle Suharmili
Published: July 2018

Academic Social Networking Sites (ASNs) have become one of the most important platforms in modern information and education industries. It will definitely become an essential mechanism to communicate, connect and collaborate among the scholarly community. In this paper, we provide a comprehensive investigation of ASNs such as Academia, ResearchGate, Mendeley and Zotero, and identify the features of ASNs. We also discuss the opportunities for ASNs and provide the challenges. Challenges related to ASNs are: collecting relevant data and identifying data quality, finding evaluation metrics and also developing efficient algorithms. Disciplinary differences in domain area and academic position become the opportunities why academicians use ASNs.
The Empirical Study on Digital Literacy from the Viewpoint of Digital Accessibility
Authors: Joon Sung Wook
Published: July 2018

The purpose of this study is to empirically analyze the effect of motivation factor in digital literacy. In particular, we examine the cumulative and recursive model of digital access, and examine the causal path of motivation factor to digital usages by analyzing the effects of motivation access on material access, skill access, and usage access. For the analysis, we used ‘the digital divide index and actual survey’ data of National Information Society Agency (NIA). The analytical model used the structural equation, and the statistics program used SPSS 23 and Amos 23. The results show that the motivation factor for digital literacy has a significant effect on material access, skill access and usage access. Policies that take into account motivations factors in digital literacy need to be strengthened.
A Data Warehouse Based Modelling Technique for Stock Market Analysis
Authors: Mondal Debomita , Maji Giridhar , Goto Takaaki , C. Debnath Narayan , Sen Soumya
Published: July 2018

The objective of this paper is identifying a warehouse model to build an analytical framework and analyze different important parameters which directly impact the changes of share market. We identify parameters that represent different viewing windows and perspectives towards stock market performance and movement trends. We categorize and define many intrinsic as well as external factors that may affect stock market as a whole. Sensex and Nifty are used as the pulse of Indian stock market. In this paper, we focus on defining a suitable OLAP model which can cater all the parameters that affect share market. We also identify different applications of this analytical model for forecasting information to help decision making.
A novel method for joint- PAPR mitigation in OFDM-based massive MIMO downlink systems
Authors: Vijaya Kumar Padarti , Rao Nandanavanam Venkateswara
Published: July 2018

Massive MIMO has gained much attention with the increase in the high speed data communication. The problem of peak-to-average power ratio (PAPR) is considered, the detrimental aspects in OFDM based massive multiple-input multiple-output (MIMO) downlink systems. The previous works done in reduction of PAPR problem using convex optimization are computationally inefficient. We considered Bayesian approach to mitigate PAPR by utilizing the redundant degrees of freedom (DOF) of the transmit array, which effectively reduced the level of PAPR. The performance or numerical results indicate the applied algorithm achieved a good improvement over the existing techniques in terms of the PAPR reduction.
Literature review of security issues in saas for public cloud computing: a meta-analysis
Authors: Shakir Mohanaad , Hammood Maytham , Kh. Muttar Ahmed
Published: July 2018

Cloud computing is a rapidly growing technology due to its highly flexible uses and applications. It also has other features such as simplicity, quick data access and reduced data storage costs. Consequently, it has been widely used by many organizations. This widespread use of cloud computing among organizations causes many security issues. Moreover, cloud computing layers are likely to be jeopardized by many security risks such as privileged user access, data location, data segregation, and data recovery. This paper aims to prepare an ample debate of a literature review-based studies that provided important insights to researchers in the scope of security cloud computing. The researcher applied a relevant set of keywords. These keywords are limited to the title, abstract and keywords search archives published between 2010 and June 2017. The database search returned a total of 308 publications. In addition, we conducted backward-forward searches from the reference lists of relevant, quality previous works on the security framework in public cloud computing studies. Then, the researcher filtered the publications to only full text access articles that were written in English only. Finally, this study obtained a total of 53 publications. The findings of this paper address many important points such as authentication, data segregation, and encryption which are considered as the top concerns in security cloud computing. In addition, most of authentication layer is considered password as a prime criterion in determining authorizes user.
AGC of multi area power system based PSO under deregulated conditions
Authors: Jasim Sultan Ahmed , Noori Saeed Falah
Published: July 2018

In This research PIDF (Proportional Integral Derivative with Filter) is suggested to control the ACE (area control error) signal of automatic generation control circuit (AGC) for two-area multi units system under deregulated conditions, each area consist of two thermal reheat units with physical GRC (generating rate constrain). The parameters of the PIDF controller are tuned using PSO (particle swarm optimization) technique. To improve the system performance, Redox Flow Batteries (RFB) is presented in one area and one of FACTS components IPFC (Inter Line Power Flow Controller) is installed in tie line. The performance of the proposed controller is assessed under different working conditions of deregulated power market. Finally, a comparison will be made on the system response when testing with varying the load conditions and system parameter through MATLAB environment 2015Rb.
Radon gas as a constructive element in the chilean pacific coast the case of a manor house in Viña del mar (valparaíso).
Authors: Rizo Maestre Carlos , A. Sáez Claudio , B González-Avilés Ángel , Galiano-Garrigós Antonio , Echarri-Iribarren Víctor
Published: July 2018

The presence of radon gas in buildings is an indicator of indoor air quality. The study presented analyses the amount of radon gas in the city of Viña del Mar in the Valparaiso region (Chile), in a manor house that currently serves as the Center of Advanced Studies at the Univer-sidad de Playa Ancha. Radon gas is an element considered highly harmful to people by various scientific agencies in the field of medicine and health, including the World Health Organization (WHO). The main effect of the presence of radon in the human environment is the risk of lung cancer. This radioactive gaseous element is present in almost all construction materials, and in the land where buildings are located. This article provides the measurements made by the Center of Advanced Studies of the Universidad de Playa Ancha and analyses the levels obtained according to their danger to humans. These values have been used as comparisons to analyse the differences in the presence of this gas between the Chilean Pacific coast and Europe. The values have been analysed with respect to the requirements that are currently being implemented.
Gutman Index and Harary Index of Unitary Cayley Graphs
Authors: Philipose Roshan , P B Sarasija
Published: July 2018

In this paper, we determine the Gutman Index and Harary Index of Unitary Cayley Graphs. The Unitary Cayley Graph Xn is the graph with vertex set  V(Xn) ={u|u∈ Zn} and edge set {uv|gcd(u−v, n) = 1 and u, v ∈ Zn }, where Zn ={0,1,...,n−1}.
Towards Developing a MAC protocol for outer-WBAN communication for pilgrims’ health monitoring during hajj: A feasibility study
Authors: Murtaza Rashid Al. Masud Shah , Abu Bakar Asmidar , Yussof Salman
Published: July 2018

Due to lack of deployment of information and communication technology (ICT) for real-time pilgrims' health monitoring during Hajj, many pilgrims left untreated, get lost and suffer from severe health problems which sometimes end with injury, traum and even death. WBAN is an emergent healthcare technology and can be deployed at Hajj ritual sites for pilgrims' health monitoring. WBANs body coordinator or gateway as an aggregator collect data from body nodes or sensors, store them and then forward to the healthcare stations for analyzing the data through outer-WBAN communications. Currently, most of the existing research works focused on intra-WBAN communications while the technical issues, problems, opportunities and standard correlated to outer-WBAN are not well discussed and mentioned. Since, medium access control (MAC) protocol is responsible for channel access, lower delay, and energy efficient transmission of data packets. Therefore, designing of an efficient and reliable MAC protocol is the earnest research demand to alleviate the aforementioned obstacle. In this research, a feasibility study has been completed to identify the problem and a proposal has been made to develop a suitable MAC protocol for outer-WBAN communication for pilgrims’ health monitoring during Hajj.
A Structural Equation Model for Emerging Needs and Changing Role of Social Media Usage as Financial Service Platform
Authors: Shrikant Waghulkar Prof. , Nitesh Behare Dr , V .P Sriram Dr , Anup Shivanacheri Prof.
Published: July 2018

In this Modern Era, the Major usage of social media is changing its old traditional mainstream from entertainment to the world of opportunity to work and trade. In the Emerging banking industry where customers' interaction plays a major and necessary role, Now a days, these digital communication is becoming a Predominant and strong communication channel between Customers and financial institutions. Digital Medias are considered as the most valuable tools for potential customers or clients get connected to the bank towards accessing their financial services in a most fashionable manner. Hence, the Emergence of Social Media as a major digital Platform which plays a major and replacing traditional way of getting financial services to a most modern way of accessing such financial services and its related information. In this paper, the researcher tries to portray the emerging importance of social media as a technological innovative platform which in turn plays a major role in Digital Banking and its related services. One way the researcher tries to bring the growing importance and need of these social media as innovative technological platform readily developing in banking sector where in customer could be able to access and do financial transactions in a most simpler and economical manner.
Implementation of key-cryptosystem for efficient data sharing in cloud environment
Authors: Falih Mahdi Roaa , Goli Salman , Waleed Jumana
Published: July 2018

The distributed storage based on data recovery administration is a promising innovative way that mounts market actively sooner rather than later. However, in spite of the various studies which have been done in terms of secure information recovery over encoded information in cloud administrations, the majority of these studies concentrated on the strict security given to information in an outside space. Those methodologies oblige dynamite expenses to unify on cloud administration supplier that can be an important hindrance to accomplish productive information recovery in distributed storage. In this paper, a proficient information recovery plan utilizing property based encryption was proposed. The proposed plan is most appropriate for distributed storage frameworks with the gigantic measure of infor-mation. Affluent expressiveness as access control and quick pursuits with straightforward examinations of looking elements were given. Additionally, the plan ensures information security and client protection among information recovery process.
Obstacle recognition and avoidance during robot navigation in unknown environment
Authors: Kumar Neerendra , Vámossy Zoltán
Published: July 2018

In this paper, firstly, a model for robot navigation in unknown environment is presented as a Simulink model. This model is applicable for obstacles avoidance during the robot navigation. However, the first model is unable to recognize the re-occurrences of the obstacles during the navigation. Secondly, an advanced algorithm, based on the standard deviations of laser scan range vectors, is proposed and implemented for robot navigation. The standard deviations of the lasers scans, robot positions and the time of scans with similar standard deviations are used to obtain the obstacle recognition feature. In addition to the obstacle avoidance, the second algorithm recognizes the re-appearances of the obstacles in the navigation path. Further, the obstacle recognition feature is used to break the repetitive path loop in the robot navigation. The experimental work is carried out on the simulated Turtlebot robot model using the Gazebo simulator.
An Effective Attendance Monitoring System with Fraud Prevention Technique for Educational Institutions
Authors: Qaiduzzaman Khandker M , Shahjahan Mohammad , Sobhan Sadman , Arman Md. Shohel , Taj Noor Manan Binth , Rahman Mostafijur
Published: July 2018

In this article, an Attendance Monitoring System (AMS) is proposed for educational institutions. The novel aspect of this work is to integrate a password-protected attendance counting module with the system. The module can effectively limit the fraudulent activities in attendance monitoring process. Besides that, some constraints are proposed to increase the security of the AMS. Based on the constraints a new system is designed to maintain the attendance data and the user information. The aim of this research is to design an effective AMS using the Radio Frequency Identification (RFID) technology to prevent fraudulence. Besides, the attention is given to the usability and the efficiency of the system. For this purpose, a usability testing named System Usability Scale (SUS) is used after implementing the system in the real world. The usability test result shows that the proposed system has an average SUS score of 71.92 out of 100. The score indicates that the proposed system has the adjective rating, “good” (range 71.4 – 85.5). A performance testing is conducted by calculating the average response time for the system. The response time is collected by varying the number of RFID tags and the lengths of the serial cable. The average response time of the proposed system is found 1.11 second which is better than the traditional paper-based system.
Role of academia-industry collaboration in enriching engineering education: A case study in sub-sahara context
Authors: A Agarwal , O.M O.M. , M.T Letsatsi , R Marumo , T Mokgwathi
Published: July 2018

Education and training stays one of the key parts of technical institutions, particularly in sub-Sahara nations where the absence of talented laborers is a noteworthy bottleneck impeding the intensity and imaginative limit of firms. Building instruction is deficient with regards to an association amongst information and certifiable issues. Building training as a human undertaking is likewise confronting various extra difficulties of securing, and reception of information, advancement and innovation exchange, fortifying the instructive venture and occupation manifestations. Abilities improvement has been, and still is, an argumentative issue in the scholarly world and in addition mechanical segment. Presently days, the greater part of the universities are confronting the issue of absence of viable learning and experience among their lecturers who have joined the instructing soon after completing their graduation. This paper talks about the necessity of a compelling collaboration amongst the scholarly world and industry which has turned into an undeniably a basic part of productive national development frameworks. Industry encounter enables instructive projects to grow in inventive ways. The contextual investigation examined, demonstrates that such collective endeavors can prompt expanded organization with researchers from various and interdisciplinary foundations.
Optimization CFD study of erosion in 3D elbow during transportation of crude oil contaminated with sand particles
Authors: Hayder Al-Khayat Rasha , A. R. Sadiq Al-Baghdadi Maher , Aziz Neama Ragad , Al-Waily Muhannad
Published: July 2018

The oil industry transport the crude oil, but with entrained solid particles. Throughout the production operations of the upstream petroleum, crude oil as well as sand particles corroded from the zones of the formation are regularly conveyed through pipes as a mixture up to the well heads and among well heads and flow stations. In this study, a three-dimensional CFD (Computational fluid dynamics) model has been developed that describes a turbulent transport of solid sand particles as well as crude oil through elbows to predict the erosions rates, where various physical aspects have been combined together including flow turbulence, particle tracking, and erosion simulation. The model has been used to investigate the different parameters that effect for crude oil and sand particles on the erosive wear rate on the pipe walls. Where, the parametric studied for crude oil are viscosity, density, velocity and temperature, also, the parametric studied for sand particles are parti-cles size, particles density and mass flow rate. Therefore, the investigation included evaluated the erosive wear rate on the pipe walls with different parametric studding by using numerical method with CFD technique. This model includes simulation of the three dimensional for turbulent flow, sand particle, and erosion rates modeling. Where, used three methods to evaluating the erosive wear rate on the pipe walls, The Finite Model, The Erosion Rate (E/CRC) Model and The Erosion rate (DNV) Model. Also, in this work can be prediction of the ero-sion position occur on the pipe wall with various parametric effect. Then, the results presented shown that the rate of erosion is increase with increasing the friction between the oil and pipe wall by variable the parametric of crude oil or sand particles. Also, the results are shown that the position of erosion variable dependent on the parametric of oil and sand. Finally, the work shown that the CFD technique is good tool can be used to evaluating the erosion rate and erosion position on pipe wall with various crude oil and sand particles parametric.
Low power combinational and sequential logic circuits using clocked differential cascode adiabatic logic (CDCAL)
Authors: Sasipriya P , S Kanchana Bhaaskaran V
Published: July 2018

This paper presents the Clocked Differential Cascode Adiabatic Logic (CDCAL), the quasi-adiabatic dynamic logic that can operate efficiently at GHz-class frequencies. It is operated by two phase sinusoidal power clock signal for the adiabatic pipeline. The proposed logic uses clocked control transistor in addition to the less complex differential cascode logic structure to achieve low power and high speed operation. To show the feasibility of implementation of both combinational and sequential logic circuits using the proposed logic, the CLA adder and counter have been selected. To evaluate the energy efficiency of the proposed logic, an 8-bit pipelined carry look-ahead (CLA) adder is designed using CCDAL and it is also compared against the other high speed two phase counterpart available in the literature and conventional static CMOS. The simulation results show that the CCDAL logic can operate efficiently at high frequencies compared to other two phase adiabatic logic circuits. All the circuits have been designed using UMC 90nm technology library and the simulations are carried out using industry standard Cadence® Virtuoso tool.
Dynamic Cluster Based Routing Protocol with Sink Mobility Support for Underwater Wireless Sensor Networks
Authors: S Anandalatchoumy , G Sivaradje
Published: July 2018

Underwater wireless sensor networks are energy resource constrained due to the scarce battery capacity. Energy efficient routing protocol is highly demanded to be developed for such networks. It is indeed a challenging task to design routing protocol that can achieve energy efficiency due to the dynamic and harsh underwater environment. A dynamic cluster based routing protocol coupled with sink mobility support (DCMMS) is proposed. Two schemes are combined together in the protocol. One is the formation of  clusters and two is the mobile sink management. The cluster formation includes cluster head election process and member           association process. Each cluster member sends the sensed data to the cluster head. Multiple mobile sinks are deployed to gather data directly from cluster heads. Finally, mobile sinks send the collected data after proper aggregation to the static sinks located at the surface. Thus, sink mobility and the dynamic clustering technique together help to balance the load among the nodes thereby       minimizing energy consumption to a significant extent and extending the network life span. Analytical simulations are extensively carried out to attest how the proposed protocol (DCMMS) achieves better performance with minimum energy consumption, less end to end delay and higher packet delivery ratio than its counterpart existing protocol (AA-RP).
Cosine Least Mean Square Algorithm for Adaptive Beamforming
Authors: Ibrahim Khan Muhammad , Juanid Mughal Muhammad , Liaqat Ali Rana
Published: July 2018

Beamforming and multiple-input multiple-output (MIMO) antenna configurations have received worldwide interest during the recent time. Various beamforming algorithm has been proposed and employed in different applications. The Least Mean Square (LMS) algorithm has become one of the most widespread adaptive beamforming techniques because of its simplicity and robustness. This paper presents a new variant of LMS algorithm named as Cosine Least Mean Square (Cos-LMS) which uses the efficient computation of array factor for linear antenna array.This algorithm gives improved performance in beam width reduction, side lobe level reduction, null depth, and stability as compared to standard LMS and other variants of LMS algorithm. The performance improvement by Cos-LMS algorithm is accomplished without increasing the computationalcomplexity of standard LMS algorithm.
Region Housing Policies in Terms of its Social and Economic Security
Authors: Onyshchenko Volodymyr , Kozachenko Anna , Zavora Taina
Published: July 2018

The basics of the state housing policies formation are explored. Analysis of the housing policies formation directions in terms of transformational changes is conducted. Connection between economic and social spheres in the context of region social and economic security providing is substantiated. Special aspects of housing policies impact on region social and economic security formation are defined. Simulation of housing policies impact on region social and economic security is conducted. Integral estimation of housing policies is developed and its connection with some of the principal regional development social and economic indices is analyzed. Correlational relationships between the received housing policies integral estimation and such indices as household income, personal expenditures on goods and services purchasing, population income differentiation R/P 10%, proportion of population with lower monthly income per capita than enacted living wages,  correlation between monetary income of the most and the least haves 10% of population, and number of sicknesses. Dependence between people income from relative indices such as housing resources in average per capita and capital investment into house building is defined.
Business Processes Administration at a Construction Enterprise
Authors: Bakalo Nadiya , Hunchenko Mariya , Makhovka Viktoriia
Published: July 2018

The article deals with the theoretical essence and meaning of the term "administration". The administration of construction enterprises is considered from the viewpoint of the process approach and focused on business processes that are described, regulated, are constantly monitored and subject to adjustments in case of implementation errors detection or deviations from the results. The authors distinguish two approaches to the administration of business processes, which are advisable to use at construction enterprises: improving existing business processes and their reengineering.