bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of e learning on the hearing impaired (Empirical study on Hearing-impaired students in middle school)
Authors: Abdalla Hafiza , Helmy Yehia Mostafa , Marie Mohamed
Published: May 2018

This study describes the approach to e- learning and Realization for people with disabilities, especially the Hearing Impair. The researcher is trying in this research that measure the effectiveness and impact of e-learning on the Hearing Impaired, By knowing the different educational problems faced by the hearing impaired and try to eliminate these problems by applying them to an e-educational program in one of the subjects and find the difference before and after the application of the program. If the results are, positive we try to apply this method in their educational lives and this provides a lot for the hearing impaired (integrated educational environment of the cadres of education and educational presentations of lessons and exercises appropriate to the number of times many training and examinations) and the teacher's role here is different from previously. The teacher's role here will be the facilitator of the educational process. This helps the hearing-impaired integration in the Egyptian society and not linked to the idea of sign language and education in order to participate Hearing Impaired any kind of education or different cultures with the Egyptian society through e -learning.
Hand gesture recognition using average background and logical heuristic equations
Authors: Mohamed Hazem Khaled , Sayed S. , Mostafa El Sayed , Ali Hossam
Published: May 2018

This paper introduces a hand gesture recognition algorithm for Human Computer Interaction using real-time video streaming .The background subtraction technique is used to extract the ROI (Region Of Interest) of the hand. Fingertip is detected using logical heuristics equations that are applied on hand contour , convex hull and convexity defects points. A combination between background subtraction and logical heuristic technique that leads to more accurate results is introduced. Experimental results prove that the proposed algorithm improve the finger's tips detection by 52 % compared to the reference model.
Performance Analysis of Planar Nanocavities-Based Wavelength Demultiplexer for Optical Communication Systems
Authors: Mahdi Rasha H. , Fyath Raad Sami
Published: May 2018

This paper presents the design and analysis of planar plasmonic wavelength demultiplexer for optical communication systems. The demultiplexer is based on silver-air-silver plasmonic waveguide supported by two nanocavities for each drop channel. One cavity is used as a resonant tunneling-based channel drop filter while the other is used to realize wavelength-selective reflection feedback in the bus waveguide. Â For each channel, a parametric study is performed to characterize the performance of the two corresponding nanocavities when they are operating in isolated mode. Â The results are then used as a basis to design a single-channel demultiplexer by introducing the coupling between the two nanocavities. Simulation results are reported for a three-channel demultiplexer (1550, 1300, and 850 nm) using Computer Simulation Technology (CST) software package. A drop efficiency as high as Â is obtained for each drop channel in the designed demultiplexer. The simulated results can be used as a guideline to design ultra-compact wavelength-division multiplexing (WDM) systems in highly integrated optical circuits.Â
A Case Study on Risk Management Practice in Outsourced Software Migration Projects
Authors: Sundararajan Srikrishnan , M Bhasi , K.V. Pramod
Published: May 2018

While there are many studies conducted on software risk during the last two decades, very few have been published on software risk management practice in IT industry. In this paper we explore industry practice in the management of software development risks in outsourced software migration projects. We take the vendor perspective, post contract finalization. We conducted an online survey of 145 software projects executed by global IT vendors with process maturity of CMM Level 5. Based on this we built a statistical model relating software risk management factors with project outcome. An embedded case study of a large software migration project executed for a fortune 500 company was undertaken to check whether the model agrees with actual industry practice. The best practices and experiences from the project are also shared.
Improvement of Physical Clock Synchronization Algorithm by Two-Level Synchronization
Authors: Reddy M. Praveen Kumar , Kumar K. Ashwin , Kumar S. Rajesh , Saravanaguru RA.K.
Published: May 2018

Synchronization of the clocks is one of the essential thing for many applications in distributed systems. Clock synchronization is very important because they improve the performance and reliability of distributed systems. The main purpose of clock synchronization algorithms is to provide the common time to essential parts of the distributed systems. In this paper the problem considered is synchronization of clock with bounded clock drift and proposing a two level synchronization algorithm which synchronizes the processors local clocks by combining both internal and external clock synchronization.
Depression Analysis using ECG Signal
Authors: Mantri Prof. Shamla , Agrawal Dr. Pankaj , Patil Prof. Dipti , Wadhai Dr. V. M.
Published: May 2018

ECG is a bio-medical signal which records the electrical activity of the heart versus time. They are important for diagnostic and research purposes of the human heart. In this paper we discuss a method of feature extraction which is an inevitable step in most approaches in diagnosing abnormalities in the heart. A web application is developed which extracts features of ECG signal like ST segment, QRS wave, etc. and use these features for identifying whether a person suffers from any of the four levels of stress, that is, Hyper Acute stress (Myocardial Infarction), Acute stress (Type A), Hyper Chronic stress (Ischemia) or Chronic Stress (Type B). The application is built using a decision support system formed by extensive learning of behavior of the signals of various persons.Â
Energy Efficient Ensemble K-means and SVM for Wireless Sensor Network
Authors: Abdullah Manal , Al-Thobaity Ahlam , Bawazir Afnan , Al-Harbe Nouf
Published: May 2018

A wireless sensor network (WSN) consists of a large number of small sensors with limited energy. For many WSN applications, prolonged network lifetime is important requirements. There are different techniques have already been proposed to improve energy consumption rate such as clustering ,efficient routing , and data aggregation. In this paper, we present a novel technique usingÂ  clustering .The different clustering algorithms also differ in their objectives. Sometimes ClusteringÂ  suffers from more overlappingÂ  and redundancy data since sensor node's position is inÂ  a critical position does notÂ  know in which clustering itÂ  is belonging. One option is to assign these nodes to both clusters, which is equivalent to overlap of nodes and data redundancy occurs. This paper has proposed a new method to solve this problem and make use of the advantages of Support Vector Machine SVM to strengthen K-MEANS clustering algorithm and give usÂ  more accurate dissection boundary for each classes .The new algorithm is called K-SVM.Numerical experiments are carried out using Matlab toÂ  simulate sensor fields. Through comparing with classicalÂ  K-MEANS clustering scheme we confirmedÂ  thatÂ  K-SVMÂ Â  algorithmÂ  has a better improvement in clustering accuracy in these networks.
Factors Affecting Information and Communication Technology (ICT) Use by Southern Colleges Teachers in Balqa Applied University
Authors: Tarawneh Sami A , Allahawiah Sattam R
Published: May 2018

This research was conducted to study the factors affecting the use of Information and Communication Technologies (ICTs) by Southern Colleges Teachers in Balqa applied university teachers. The results of this study indicate that even though a majority of respondents use ICT in teaching activities. The descriptive results indicated that teachers had high level of knowledge and skill in applying ICT. In addition, computer and internet are available to majority of respondents. It appeared from the findings of this research that technologies are used at the high level. Providing more availability of ICT to teachers as the most producers of the information and knowledge will be essential. The findings of regression analysis also showed that the skill in using ICT explained 3.63 of extent to which faculty members used ICT variance. This result refers to the fact that holding educational courses aiming at increasing peopleâ€™s familiarity and knowledge about ICT will improve the usage of these technologies.
VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM
Authors: Chenniappan Dr P.K , Devi Mrs.S.Aruna
Published: May 2018

The vehicle routing problem is to determine K vehicle routes, where a route is a tour that begins at the depot, traverses a subset of the customers in a specified sequence and returns to the depot. Each customer must be assigned to exactly one of the K vehicle routes and total size of deliveries for customers assigned to each vehicle must not exceed the vehicle capacity. The routes should be chosen to minimize total travel cost. Thispapergivesasolutiontofindanoptimumrouteforvehicle routingproblem using Hybrid Encoding GeneticAlgorithm (HEGA)technique tested on c++ programming.The objective is to find routes for the vehicles to service all the customers at a minimal cost and time without violating the capacity, travel time constraints and time window constraints
Enhanced Adaptive Mechanisms to Improve QOS in Distributed Multimedia Applications
Authors: Abdul Sattar Dr. Syed , Baig Mirza Anwarullah
Published: May 2018

Recent advances in computer communications, especially highly interactivedistributed applications and those relying on the transfer of multimedia information and in particular, continuous media flows. It is essential that QoS is guaranteed in a system, considering distributed system area, the transport protocol and themultiservice network. Quality of Service (QoS) in distributed multimedia systems provides a unifying theme on which the functions and facilities of the new integrated standards can be constructed.Â  The objective of thispaper is tofocusonseveral QoS parametersat different levelsand Enhanced Adaptive Mechanismis proposed in order to improve the performance in distributed multimediaapplications.
A Performance Evaluation of Shape Based Image Retrieval Using Heuristic Function
Authors: Kumar Parmalik , Tandekar Pushpa , Kumar Jha Dhirendra
Published: May 2018

Heuristic function plays an important role in content based image retrieval. The heuristic function used for feature selection and feature optimization for retrieval process. The feature selection process are depends on feature extraction process. The content based image consists of three types of features such as color, texture and shape. The shape feature is very important feature for image retrieval. The extraction of shape feature various authors used different method such ad Gabor filter, wavelet transform function and Fourier descriptor. Now in current research trend MPEG-7 feature descriptor are mostly authors are used. In this paper descried the review of content based image retrieval based on shape based feature and optimization technique such as ANT colony optimization, genetic algorithm and neural network. The empirical evaluation result shows that ANT colony optimization technique is better optimization technique in compared with other such as genetic and neural network.
A Multi-Agent Classifier System based on Fuzzy-ARTMAP and Fuzzy Min-Max Neural Networks
Authors: Quteishat Anas Mohammad
Published: May 2018

In this paper, we propose a Multi-Agent Classifier (MAC) system based on the Trust, Negotiation, and Communication (TNC) model. A novel trust measurement method, based on the recognition and rejection rates, is proposed. Two agent teams, each consists of three neural network (NN) agents, are formed. The first is the Fuzzy Min-Max (FMM) NN agent team and the second is the Fuzzy ARTMAP (FAM) NN agent team. An auctioning method is also used for the negotiation phase. The effectiveness of the proposed model and the bond (based on trust) is measured using two benchmark classification problems. The bootstrap method is applied to quantify the classification accuracy rates statistically. The results demonstrate that the MAC system is able to improve the performances of individual agents as well as the team agents. The results also compare favorably with those from other methods published in the literature.
Performance Analysis of Rule Based Algorithms Applied to a Cardiovascular Dataset
Authors: Mukherji Dev , Padalia Nikita
Published: May 2018

Cardiovascular disease is one of the dominant concerns of society, affecting millions of people each year. Early and accurate diagnosis of risk of heart disease is one of major areas of medical research, aimed to aid in its prevention and treatment. Most of the approaches used to predict the occurrence of heart disease use single data mining techniques. However, performances of predictive methods have recently increased upon research into hybrid and alternative methods. This paper analyses the performance of logistic regression, support vector machine, and decision trees along with rule-based hybrids of the three in an attempt to create a more accurate predictive model.
Information Hiding Using Mosaic Images with Random Image Key Generation
Authors: Bansiya Akhilesh , Jain Yogendra Kumar
Published: May 2018

Image watermarking is one of the efficient technique to send the secrete information from sender to receiver. The concept of information hiding using mosaic images is also an efficient technique of keeping the information secretes. The existing technique of information hiding using LSB based embedding of information and then using greedy search algorithm for the searching of images tile into the database. The technique implemented in the literature so far provides more error rate and also the time complexity is greater, since it uses the concept of greedy search for the searching of most similar image tile in the database. Our proposed technique does not require searching of the tile images resulting in a lower computational time. The proposed technique is based on the concept of watermarking, where the secrete image is converted into a number of tiles and then each of the tile image is converted into binary value. These binary values are used as a secrete key from which the cover image is encrypted and decrypted.
Design of Phase Shift Control For Transmit/ Receive Module of ST Radar
Authors: Ghosalkar Samikshya Suresh , Ray K P , Rangari Rajesh G , Gharge Saylee Milind
Published: May 2018

The paper mainly focuses on the beam forming and its analysis for planar phased- array antenna, which is being developed as part of the ST Radar. The beam steering is done electronically by controlling the phase of the T/R module in such a way that the phase difference between each module is equal and it corresponds to the steering angle. The relative phase shift of each T/R module for a specified beam position is worked out using MATLAB and implemented using 6- bit digital phase shifter. The analytical results are practically demonstrated using the STM32F4xx kit of STMicroelectronics. Theoretical values of the elemental phase for each antenna element in the array, are calculated for various positions of the beam (Î¸ & Ï†). The 6-bit phase shifter results in 5.6250 phase resolution.Â  In the second part of the work, the calculation of the element phase with 6-bit digital phase shifter is discussed. The calculated values of the elemental phase are truncated to an integral multiple of 5.6250.Â
MESSAGE GUIDED RANDOM AUDIO STEGANOGRAPHY USING MODIFIED LSB TECHNIQUE
Authors: Jangra Taruna , Singh Dr. Dinesh
Published: May 2018

Steganography is the science of hiding secret data in such a way that its presence can't be noticed. Techniques which hide more secret data in cover files and which doesn't affect transparency of cover signal are better one for steganographic purpose. In the proposed technique which keyless randomization is provided to insert secret information in multiple and variable LSBs. Cover signal is converted into binary format and then with the proposed algorithm binary cover signal is divided into blocks of size 8x8 with 16 bits per sub block, and then checking each sub blocks first two MSBs to find how many LSBs will be used for insertion of secret data bits. PSNR values show that there is no noticeable difference between cover audio signal and stego audio signal. Security increases due to the use of variable number of LSBs for insertion and keyless randomization are provided by counting out technique.
DEVELOPMENT OF AN INTRUSION DETECTION SYSTEM IN A COMPUTER NETWORK
Authors: R.S Babatunde , K.S Adewole , S.O Abdulsalam , R.M Isiaka
Published: May 2018

The development of network technologies and application has promoted network attack both in number and severity.Â  The last few years have seen a dramatic increase in the number of attacks, hence, intrusion detection has become the mainstream of information assurance. A computer network system should provide confidentiality, integrity and assurance against denial of service. While firewalls do provide some protection, they do not provide full protection.Â  This is because not all access to the network occurs through the firewall.Â  This is why firewalls need to be complemented by an intrusion detection system (IDS).An IDS does not usually take preventive measures when an attack is detected; it is a reactive rather than proactive agent. It plays the role of an informant rather than a police officer. In this research, an intrusion detection system that can be used to deny illegitimate access to some operations was developed. The IDS also controls the kind of operations performed by users (i.e. clients) on the network. However, unlike other methods, this requires no encryption or cryptographic processing on a per-packet basis. Instead, it scans the various messages sent on a network by the user. The system was developed using MicrosoftVisual Basic.
The Eportfolio as Support for the Professional Development of Preservice Teachers: a Theoretical and Practical Overview
Authors: Karsenti Thierry , Dumouchel Gabriel , Collin Simon
Published: May 2018

The portfolio is rapidly gaining attention in initial teacher training programs. It serves multiple uses and ends in the professional development and reflective practice of preservice teachers, and the technical advances of Web 2.0 will only increase the potential for learning opportunities. From now on, portfolio content that was formerly private territory can be generously shared. Against this background, this article provides an overview of the portfolioâ€™s role in initial teacher training programs. The four main functions of the portfolio are addressed, followed by the advantages of the eportfolio over the paper portfolio. A working conceptual framework is then proposed for eportfolio use to support professional development in the Web 2.0 age. To provide a practical application for initial teacher training, we conclude with a presentation of Eduportfolio, an eportfolio that effectively taps the potential of Web 2.0.
Enablers In Implementing Micro Sourcing For The Low Income Group In Malaysia
Authors: Arshad Noor Habibah , Syed Aris Syaripah Ruzaini , Salleh Siti Salwa , Janom Norjansalika , Mastuki Norâ€™azam
Published: May 2018

Improved access to ICTs and related services through micro sourcing initiatives has created new opportunities for enterprises with direct involvement of the poor to access information and other input. Micro sourcing provides benefit around the strengthening of social and intellectual capital through enhancement of skills, increased self-confidence and empowerment. The positive impacts of micro sourcing on micro worker are crucial in sustaining the uplifting poor income household through the micro sourcing initiative.Â  This paper will determine the enablers through SWOT and Gap analysis. The SWOT analysis is to evaluate many aspects and competitors for the enablers of micro sourcing, while Gap analysis is targeted towards the fine tuning of the process. A SWOT and GAP analysis workshop was held to gather information from stakeholders. The findings from the SWOT analysis will identify potential pitfalls and allow us to take action to avoid them. Meanwhile, the GAP analysis may allow us to define the source of the problem and targeted towards fine tuning the micro sourcing process.
Assessing the Critical Factors for E-Learning Systems Using Fuzzy TOPSIS and Fuzzy Logic
Authors: Bagheri Fard Karamollah , Soltani Tafreshi Fakhte , Nilashi Mehrbakhsh , Jalalyazdi Mansooreh
Published: May 2018

Assessing the success of Information Systems (ISs) has been identified as one of the most critical issues in IS field. Offering more services and the ease of access is considered as a significant factor for todayâ€™s academic environments. E-learning systems are having an exquisite impact over the success of academic environments by reducing the costs and time of training students, by providing an integrated place where students can have access to it for finding their desired materials and to share the knowledge properly among the students and the lecturers. To implement effective e-learning systems, assessment of the quality of these systems has become an important issue. This study identifies the significant factors that influence on successes in e-learning systems. Hence, we use two powerful techniques from Multiple Criteria Decision Making (MCDM) and Artificial Intelligence fields. Using fuzzy TOPSIS, we rank the factors using a pair-wise questionnaire. Then, to get the real level of factors, we perform the fuzzy logics using a 5-likert questionnaire. Results of assessing show that the system quality is very important factor in relation to the service quality, information quality and learning community.
RTC-GWLAN: A Real Time Characterization of Generic IEEE 802.11 for High Density Services
Authors: C.O Arinze , V.E Idigo , K.A Akpado , V.N Agu , G.C Nwalozie
Published: May 2018

This research investigates and analysed generic Wireless Local Area Networks (IEEE 802.11a/b/g) in the context of their Quality of Service (QoS) in high density networks using some generic Key Performance Indicators (KPI) such as throughput (Bytes/Sec), Received Signal Strength Indicator (RSSI), and latency response (secs). The study focused on University of Nigeria Nsukka (UNN) which houses several hostels and faculties. Using Applied Research Methodology (ARM), this work characterized a real life generic hotspot testbed (UNN) for Received Signal Strength (RSS), mobile node distance, latency and throughput using Tranzio-Wavion Minipop Infrastructure in UNN as the network testbed. In this study, after sampling the selected KPIs, data were collected via our testbed measurements from the test nodes, Network Switching system/Network Operating Centres (NOCs) and their values were evaluated for an assessment study. The KPI results obtained showed that the traditional generic WLAN will scarcely scale in high density traffic environment in terms of scalability, speed performance (network convergence), cost, and other selected KPIs. This will lead to a proposal on a conceptual framework for Cognitive High Density Hotspot (CHDN) in our future work, which will address the limitations of generic WLANs for enterprise computing.
GREEN ROUTINGSTRATEGY FOR DYNAMICALLY ARRANGED HOMOGENEOUS WSN- MSCT2
Authors: Khan Gulista , Ali Wajid , Arya Swati , Sharma Vaibhav
Published: May 2018

Wireless networks play a crucial role in the communication systems nowadays. Wireless networks are being increasingly used in the communication among devices of the most varied types and sizes. User mobility, affordability, flexibility and ease of use are few of many reasons for making them very appealing to new applications and more users everyday. A Wireless Sensor Network (WSN) is composed of sensor nodes spread over the field to sense the data. The sensed data must be gathered & transmitted to Base Station (BS) for end user queries. The used sensor nodes being in- expensive having low computation power & limited energy so are not as much reliable as their expensive macro sensor counter parts but their size and cost enable hundred to thousand of micro sensors to achieve high quality fault tolerant system. In an environment where in each round all sensor nodes have to send data to base station; it is required to effectively utilize energy of sensor nodes so as to increase the life- time of the system. The use of data aggregation & fusion as proposed in LEACH increases system lifetime by a factor of 8 as compared to conventional routing protocols. In this work, our main focus is the static sensors are randomly selected and the base stations have their information all a priori. Basically, the sensors are in direct communication range of each other and can transmit to and receive from the base station. The nodes periodically sense the environment and have always data to send in each round of communication. The nodes fuse/ aggregate the data they receive from the others with their own data, and produce only one packet regardless of how many packets they receive. The problem is to find a routing scheme or an efficient protocol to deliver data packets collected from sensor nodes to the base station. It maximizes the lifetime of the sensor network under the system model given above. However, the definition of quality of service of the sensor network provides is not specified. Secondly, where the nodes are densely deployed, the quality of the system is affected as soon as a significant amount of nodes die, since adjacent nodes record identical or related data. In this case, the lifetime of the network is the time elapsed until half of the nodes or some specified portion of the nodes die. In general terms, the time in rounds where the last node depletes all of its energy defines the lifetime of the overall sensor network. Taking these different possible requirements under consideration, our work provides a proper timing of all deaths for all algorithms in detail as well as chooses the shortest possible path for communication with better memory management scheme and leaves the decision which one to choose to system designers.
Backstepping Adaptive Control of DFIG-Generators for Variable-Speed Wind Turbines
Authors: Bossoufi Badre , Karim Mohammed , Lagrioui Ahmed , Taoussi Mohammed , El Ghamrasni Madiha
Published: May 2018

In this paper, we present a nonlinear robust control of active and reactive power by the use of the technique Backstepping a double-fed asynchronous generator (DFIG) system incorporated in a wind. The power transfer between the stator and the network is carried out by acting on the rotor via a bidirectional signal converter.Initially, a control strategy of the MPPT asynchronous double fed generator is presented. Thereafter, a new control technique for wind systems is presented. This control scheme is based on an adaptive pole placement control strategy integrated to a Backstepping control scheme. The overall stability of the system is shown using Lyapunov technique. The performance and robustness are analyzed and compared by simulation based Matlab / Simulink software.
Fast Iterative model for Sequential-Selection-Based Applications
Authors: Amirizadeh Khosrow , Mandava Rajeswari
Published: May 2018

Accelerated multi-armed bandit (MAB) model in Reinforcement-Learning for on-line sequential selection problems is presented. This iterative model utilizes an automatic step size calculation that improves the performance of MAB algorithm under different conditions such as, variable variance of reward and larger set of usable actions. As result of these modifications, number of optimal selections will be maximized and stability of the algorithm under mentioned conditions may be amplified. This adaptive model with automatic step size computation may attractive for on-line applications in which,Â  variance of observations vary with time and re-tuning their step size are unavoidable where, this re-tuning is not a simple task. The proposed model governed by upper confidence bound (UCB) approach in iterative form with automatic step size computation. It called adaptive UCB (AUCB) that may use in industrial robotics, autonomous control and intelligent selection or prediction tasks in the economical engineering applications under lack of information.
BNP TASK SCHEDULING ALGORITHMS FOR PERFORMANCE EVALUATION IN PARALLEL SYSTEM
Authors: Garg Akanksha , S.Sethi Navdeep , Arora Nidhi , Makkar Amit
Published: May 2018

Scheduling is the process to minimize the schedule length by proper allocation of the tasks to the processors and arrangement of execution sequencing of the tasks. Multiprocessor Scheduling using Directed Acyclic Graph (DAG) is used in this research. Â An important implication of minimization of schedule length is that the system throughput is maximized. The objective of this survey is to describe various scheduling algorithms and their functionalities in a contrasting fashion as well as examine their relative merits in terms of performance and time-complexity. In this research, three BNP Scheduling Algorithms are considered namely HLFET Algorithm, MCP Algorithm and ETF Algorithm to calculate effective output by comparing the algorithms with eight test case scenarios with varying number of nodes and processors.
Hybrid Heuristic Algorithm for solving Capacitated Vehicle Routing problem
Authors: AbdElAziz Moh. M. , A. El-Ghareeb Haitham , Ksasy M. S. M.
Published: May 2018

The Capacitated Vehicle Routing Problem is the most common and basic variant of the vehicle routing problem, where it represents an important problem in the fields of transportation, distribution and logistics. It involves finding a set of optimal routes that achieve the minimum cost and serve scattered customer locations under several constraints such as the distance between customersâ€™ locations, available vehicles, vehicle capacity and customer demands. The Cluster first â€“ Route second is the proposed approach used to solve capacitated vehicle routing problem which applied in a real case study used in that research, it consists of two main phases. In the first phase, the objective is to group the closest geographical customer locations together into clusters based on their locations, vehicle capacity and demands by using Sweep algorithm. In the second phase, the objective is to generate the minimum cost route for each cluster by using the Nearest Neighbor algorithm. The hybrid approach is evaluated by Augeratâ€™s Euclidean benchmark datasets.
Automated Blood Cells Extraction and counting
Authors: Zahran Bilal Mohammad , Ayyoub Belal A. , Abu Zunait Rushdi S. , Sharadqeh A.
Published: May 2018

Automated blood cells extraction and counting in medical images is an important and sometimes necessary procedure in medical diagnostics and treatment. In this paper an automated blood cells extraction and counting method from microscopic images was proposed. The method is based on morphological filtering. The proposed method was tested using different background noises, resolutions and different colored images. The results are encouraging and the method gave an excellent performance for white blood cells and acceptable performance for red blood cells.
BASIC SPECIFICATION REGARDING THE WIND POWER SYSTEMS CONTROL
Authors: Balog Florica , Ciocarlie Horia , Erdodi Gheza-Mihai , Babescu Marius
Published: May 2018

The paper proposes an original metod to control the wind power system at variable wind speed. In the case of those high power wind systems that presents large inertia moments due to the variable wind speed, the rotation speed of both wind turbine and permanent magnet synchronous generator can not be modified in a timely manner so as to ensure the turbine operating in maximum power points. Therefore, the paper presents two control structures. First structure is based on the load calculation of permanent magnet synchronous generator and the second is based on the load modifying by using controllers. The rotation speed of turbine estimation has been used as reference in the both structures.
Nature Inspired Load Balancing Algorithms in a Cloud Computing Environment
Authors: Kunadharaju Hari Prasada Raju
Published: May 2018

Cloud computingÂ is a general term for anything that involves delivering hosted services over the Internet, One of the primary issues in cloud computing is implementation of a novel load balancing approach. The demanding thirst for optimal performance of the system is creating research interest in this area. Many Load Balancing algorithms that aim to enhance the overall system performance have been proposed. In this paper, we survey a special group of Load balancing algorithms that have taken inspiration from nature. We provide an overview of the current trends in the field by discussing and comparing these algorithms.
Comparative Analysis of Cross-Platform MAD Frameworks
Authors: Verma Kunal , Maniktala Digvijay
Published: May 2018

Mobile Application Development is getting to be additionally difficult with differing stages and their product improvement packs. Lately, mobile computing has been having truly a revolution. Anyways one of the difficulties that has been conceived due to this revolution is technology and device fragmentation leaving developers stupefied. Platform developers, device manufacturers accompany such a variety of gimmicks and functionalities that it has been hard to give developers a less demanding method for creating applications and running the application on every cell phone with expense and time compelling measures. To lessen the expense of development and connectivity with maximum users across a plethora of platforms, developers are relocating to cross-platform application development tools. In this paper, we give a few choice criteria past the portability concerns toward picking suitable cross-platform solution for application development. Nonetheless, we discovered that cross-platform solutions might be suggested by and large, yet they are still constrained if high prerequisites apply with respect to execution, convenience or native user experience.
Reducing the Impurity of Object-Oriented DatabaseThrough Gini Index
Authors: Singh Sudhir Kuamr , Saxena Dr. Vipin
Published: May 2018

In the current scenario, the size of database is increasing due to audio and video files. In the database, irregularities occur due to duplication of data at many places, therefore, it needs reconstruction of database size. The present work deals with reducing of impurity through a well-known Gini index technique. Since many of softwareâ€™s are using the object-oriented databases, therefore, an object-oriented database is considered, A real object-oriented database for Electricity Bill Deposit System is considered. A sample size of 15 records is considered, however the present technique can be applied for large size or even for the complex database. A decision tree is constructed and sample queries are performed for verifying the result and Gini index is computed for minimizing the impurity in the presented object-oriented database. Â
Microprocessor Architecture Era for Development Cloud Computing of Ministry of Electricity and Energy of Egypt
Authors: El-Khobby Heba A. , AbdElnaby Mostafa M. , HASSANIN Abdel-Aziz Ibrahim Mahmoud , Maziad Abdallah D.
Published: May 2018

A development and evaluation the Cloud Computing (ClComp) of Ministry of Electricity and Energy of Egypt (MEEE) is presented in this paper. In order to be able to judge whether the ClComp of MEEE is competence, there is a need to develop criteria which performance can judged. Competency based standards and the ability to perform the activities within an occupation to the standard expected in the organization structure are presented. The key objective of Cloud Computing is to integrate Authorized Groups (AuthGs) development with the needs of the organization structures of MEEE. The ClComp of MEEE was developed jointly between the telecommunication information technology and ClComp services. Evaluation enables participant to distinguish between AuthGs centered view and a customer centered view of cloud computing of MEEE is competence evaluation. Recognize the main types of evaluation, explain the purpose of evaluation compare the approaches to cloud computing evaluation and review the relationship between the process and policy of evaluation are investigated. Microprocessor architecture presented an optimistic view of multicore scalability to develop the ClComp. Moreover this paper investigates the theoretical analysis of multiprocessor developing and scalability. The analysis was based on the laws of Amdahl's, Gustafson's, Hill's and Marty for fixed-workload condition. Moreover, challenged the difficulties to develop better cloud computing is taken into account. Also, multicore analysis of ClComp scalability, performance and power under fixed-time and memory-bound conditions are studied. These results complement existing studies and demonstrate that ClComp architectures are capable of extensive scalability and developing.
Morphology of Koch Fractal Antenna
Authors: Mathur Vinita , Gupta Dr. Manisha
Published: May 2018

Antenna is paramount element for the radio communication entity using radio frequency and microwaves.Â  In twenty-first century wireless communication systems, there is a demand for wider bandwidth, multiband and low profile antennas for both commercial and military purposes. This has initiated antenna analysis in various directions; one of them is using fractal shaped antenna elements. Fractal concepts have emerged and advanced as a unique technique for designing compact UWB antennas, because of the self-similarityand space-filling attributes. In a fractal antenna, the multiple frequencies of operation depend on the total dimensions of the design and the scale factor. There are varied fractal geometries that have been found to be favorable in developing novel and new models for antennas. In this paper we will be discussing one such type of fractal antennas i.e. the Koch structure.Â  Koch antenna can be designed with a triangle, rectangle and pentagon as its initiator. Their geometry and parameters have been analyzed in this paper.Â
A Proposed Criteria for Evaluting Cloud based Systems
Authors: Bello Sururah Apinke
Published: May 2018

A number of Cloud Providers have sprung up with different offers ranging from providing instances that looks much like physical hardware to application domain-specific offers. This study intends to propose a set of review criteria to evaluate existing Cloud computing providers to high level information about this emerging way of IT provisioning. Existing Cloud providers in the Iaas, Paas and SaaS were considered using, Architecture, Application Programming Interface, User Interface, Security, Fault tolerance and Scalability, Software implementation, Monitoring, Payment and Performance. This study is to assist Cloud users and researchers in making important decision in using Cloud Systems. The study exposed a refined method of further classification of Cloud based System. The classification will enable users to know open systems that are readily available for research, commercial systems for big projects and also be a good starting point for new comers into Cloud Computing environment.
A FRAMEWORK FOR SUPPORT ON GENERATION OF MASSIVE OPEN ONLINE COURSE ADAPTATIVE MOOC USING TECHNIQUES OF CONTEXT ADAPTATION
Authors: Junior Jose Barbosa Dias , Cardoso Alexandre , Lamounier Junior Edgard Afonso , Kirner Claudio
Published: May 2018

This paper presents a proposal for a software framework to aid in the development of adaptive MOOC, using techniques adapted to the context. This solution will support the adaptation of the content of MOOCs according to student's profile and preferences. This adaptation is performed in a dynamic way, creating content tailored according to the learning style of each student, generating different materials according to their profile. Aiding in better understanding of the content by the student, allowing the reduction of avoidance of these courses.
TFCWS: Testing Framework for composite web services.
Authors: Diwase Deepali , Vidap Pujashree
Published: May 2018

In every business domain Web Services are more popular solutions to implement the software. Composite web service can be created by combining basic web services. Many unreliable web services are deployed on the internet. Hence, testing is required to ensure reliability. Software testers have great challenges to test web services. Source code of web services is unavailable. The Testing Framework is used to test web services without knowledge of its internal structure. In this paper, we have proposed a Testing Framework for Composite Web Services (TFCWS). It generates report which shows the total number of test cases executed for each web service with pass or fail status of each test case. It calculates the throughput of web service and response time of each test case. We have used web services response times for analysis of TFCWS, Soap UI and Storm.
The Usage of CIDOS and Social Network Sites in Teaching and Learning Processes at Malaysian Polytechnics
Authors: Razali Sharifah Nadiyah , Shahbodin Faaizah
Published: May 2018

In 21stÂ century learning, students use educational technologies to apply knowledge to new situations, analyse information, collaborate, solve problems, and make decisions.Â Utilising emerging technologies, to provide expanded learning opportunities, is critical to the success of future generations. In this paper, the author will share the findings on the usage of CIDOS and Social Network Sites in teaching and learning processes at Malaysian Polytechnics. Two sets of questionnaires were distributed to a group of 84 diploma students and 41 lecturers from Politeknik Ibrahim Sultan, Politeknik Merlimau, Politeknik Tuanku Syed Sirajuddin, Politeknik Kota Kinabalu, and Politeknik Sultan Idris Shah.The results of the study show the existence of communication and interaction difficulties in existing Learning Management Systems (LMS). As a recommendation for future research, it is suggested to integrate current LMS with Facebook to support Online Collaborative Learning (OCL).
ROLE OF NGO IN FILLING THE GAP OF GOVERNMENT (A Case Study of Indus Resource Centre khairpur, Sindh Pakistan)
Authors: SalehMemon Muhammad , AnisGoraya Nasreen , Fatima Ansari Bushra
Published: May 2018

Role of non- government organization in filling the gap of government was studied through a study conducted on Indus Resource Centre. Government gap is created when some areas are being deprived of Government efforts. The objectives of research were firstly; to analyze the role of IRC in filling the gap of Government and to find out at what extend IRC is effective in fulfilling the needs of rural people. Data was taken from the majority of beneficiaries of the IRC and it was analyzed through the exploratory factor analysis technique with the help of SPSS 16.The overall analysis of study reveals that IRC plays very important role in filling the gap and it is very effective in fulfilling the needs of rural people by providing education facilities, human right awareness, sustainable livelihood, health and disaster management.
Factors influencing motivation level of academic staff in Education of IBA Community College Khairpur Mir's
Authors: Shah Dr. Syed Munir Ahmed , Samo Miss SadafSikandar , Mughal Mr. ShahbazHyder
Published: May 2018

To investigate the degree to which various factors influence motivation level of academic staff of IBA Community College Khairpur Mir's. The study has utilized a questionnaire survey. Participants were 40 (24 male, 16 female) from academic staff. A 21-item questionnaire survey was used that that measured satisfaction level and overall motivation of academic staff. Job satisfaction was measured using five dimensions namely: pay, working conditions, job security, work itself and recognition. To determine its reliability, data was entered in SPSS 16 for checking Cronbach's alpha through correlation analysis then data reduction technique was used to form five factors among all. Two tailed Pearson correlation test was applied for checking the correlation ship among variables.Working condition, recognition and satisfaction level is somehow correlated with work itself.The level of relationship is not too much strong to analyze which factor has high significance and which has low. This study conducted upon college teachers can also be conducted upon university teachers and other sector organizations. The study also declared the factors, which were motivating for the teachers at academic education level. The empirical results from this study would help in describing or clarifying the crucial role of motivation on the needs satisfaction of teachers.
Brain Drain from Pakistan: Problem or Opportunity
Authors: SalehMemon Muhammad , Jamil Shabana , Malik Abrar
Published: May 2018

Study was conducted to check the Brain Drain as an opportunity or Problem by using Remittances as the result of brain drain and economic variables of GDP, Per Capita Income, and Public Debt was used in the analysis to check the effect by using multiple regression which states that overall model is fit and independent variables are rightly predicting the dependent variables and concluded that brain drain proved to be an opportunity for the government of Pakistan for improving the economic position.
Impact of on-the-job Training on Employee Performance (A Case Study of Microfinance Banks in District Khairpur)
Authors: Muneer Dr. Syed , Shah Turab Ali , Abbas Syed Hassan
Published: May 2018

The study was conducted to examine the impact of on-the- job training on employee performance by using a questionnaire for collecting responses from the sample to check the above relation through SPSS 16. Data reduction technique was used to form the factors from number of variables and then linear regression was applied by putting employee performance as a dependent variable and training as a independent variable. Study concluded that 50% of employee performance depends on- the- job training.Â
Analysis and Detection of Bot performing Keylogging Activities.
Authors: D Miss.Takale Jyoti
Published: May 2018

The focus on computer security has increased due to the ubiquitous use of Internet. Botnets are one of the biggest cyber threats. Botnet is a malware controlled by a Botmaster using Command and Control (C&C). Botnet is expanded with infecting fresh computers through social networking sites like facebook, twitter, etc. ZeuS is famous type of botnet for financial gain. It targets bank websites for stealing userâ€™s credentials like password, credit card information,etc. In this paper, an application framework is designed for analysis and detection of ZeuS bot residing on host victimâ€™s machine. The detection phase is based on analysis of botâ€™s infection stategy means in what way it affects the victimsâ€™s pc. All the related files are wiped out from the system in removal phase. The communication between command and control server and the victim machine is analysed in a virtual environment.