bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Performance Investigation of a New Distributed Amplifier Architecture for 40 and 100 Gb/s Optical Receivers
Authors: Al-Bayati Essra E. , Fyath R. S.
Published: May 2018

The design of distributed amplifiers (DAs) is one of the challenging aspects in emerging ultra high bit rate optical communication systems. This is especially important when implementation in submicron silicon complementary metal oxide semiconductor (CMOS) process is considered. This work presents a novel design scheme for DAs suitable for frontend amplification in 40 and 100 Gb/s optical receivers. The goal is to achieve high flat gain and low noise figure (NF) over the ultra wideband operating bandwidth (BW). The design scheme combines shifted second tire (SST) matrix configuration with cascode amplification cell configuration and uses m-derived technique. Performance investigation of the proposed DA architecture is carried out and the results are compared with that of other DA architectures reported in the literature. The investigation covers the gain and NF spectra when the DAs are implemented in 180, 130, 90, 65 and 45 CMOS standards.The simulation results reveal that the proposed DA architecture offers the highest gain with highest degree of flatness and low NF when compared with other DA configurations. Gain-BW products of 42772 and 21137 GHz are achieved when the amplifier is designed for 40 and 100 Gb/s operation, respectively, using 45 nm CMOS standard. Thesimulation is performed using AWR Microwave Office (version 10).
ENHANCED SECURITY MECHANISM IN CLOUD COMPUTING: A REVIEW
Authors: Kaur Gagandeep , Garg Dr. Mohita , Jyoti Mrs. Navjot
Published: May 2018

Cloud is a term used as a metaphor for the wide area networks (like internet) or any such large networked environment. It came partly from the cloud-like symbol used to represent the complexities of the networks in the schematic diagrams. It represents all the complexities of the network which may include everything from cables, routers, servers, data centers and all such other devices. Cloud based systems saves data off multiple organizations on shared hardware systems. Data segregation is done by encrypting data of users, but encryption is not complete solution. We can do segregate data by creating virtual partitions of data for saving and allowing user to access data in his partition only. We will be implementing cloud security aspects for data mining by implementing cloud system. After implementing cloud infrastructure for data mining for cloud system we shall be evaluating security measure for data mining in cloud. We will be fixing threats in data mining to Personal/private data in cloud systems.Â Â
ENHANCING JOB SCHEDULING IN CLOUD ENVIRONMENT: A REVIEW
Authors: Rani Mrs. Amita , Garg Dr. Mohita
Published: May 2018

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous computing systems. The problem of mapping meta-tasks to a machine is shown to be NP-complete. The NP-complete problem can be solved only using heuristic approach. There are a number of heuristic algorithms that were tailored to deal with scheduling of independent tasks. Different criteria can be used for evaluating the efficiency of scheduling algorithms. The most important of them are makespan, flowtime and resource utilization. In this paper, a new heuristic algorithm for scheduling meta-tasks in heterogeneous computing system is presented. The proposed algorithm improves the performance in both makespan and effective utilization of resources by reducing the waiting time.Â
Activity Types Selection in Kindergarten Outdoor Education
Authors: Hsin-Ying Liu, , Yao-Hsu Tsai, , Cheng-I Hou, , Chih-Yao Lo,
Published: May 2018

Preschool education develops from focus on physical cultivation in traditional agricultural society to professional education in professional institutions such as kindergartens. In recent years, it emphasizes multiple development and interactive instruction. By field perception, it constructs multi-dimensional and multi-level instruction. Outdoor education is gradually valued and operated. Through personal experience and interactive learning, it explores the meanings of natural environment and culture, learns responsibility and cognition, enhances application and thinking capacity, cultivates the correct concept of environmental protection, social justice and life recognition in order to accomplish the goals of environmental education and diverse development and be different from rigid and limited knowledge and learning of traditional books in schools.This study focused on selection of activity types in kindergarten outdoor education. Based on literature review, this study designed semi-open-ended questionnaire to collect expert opinions, and used expert questionnaire of Modified Delphi Method for individual interview. According to expert opinions, the important factors were identified. Finally, AHP questionnaire was designed.This study discussed the concerns and preferences of kindergartens in Miaoli County regarding outdoor education in research process. The results revealed the expectation of residents in Miaoli County, educational experts and scholars and governmental personnel toward talent cultivation.Â
TEDDEEC: Threshold Enhanced Developed Distributed Energy-Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks
Authors: Sharma Aditi , Singh Harjit
Published: May 2018

In wireless sensor networks, hundreds or thousands of sensor networks are deployed in a field to sense data (like temperature, light, pressure, sound etc.) and then they transmit it to sink nodes or base station via a radio transmitter. At one side where these networks have numerous applications, they suffer from a major disadvantage on the other side. These sensor nodes are power constrained and hence they have limited lifetime. Once deployed, these nodes cannot be recharged, therefore researchers are developing protocols to enhance network lifetime. Protocols had been modified one after the other so as to save energy during their every transmission. Clustering technique was used and it was found that it is more optimistic way to save energy. In this paper, we propose a new clustering protocol: Threshold Enhanced Developed and Distributed energy-Efficient Clustering Protocol (TEDDEEC) for heterogeneous wireless sensor networks. In this technique, a modified value of threshold is presented on which a node will decide whether to become CH or not. Simulation results show that this protocol outperforms as compared to its conventional counterparts.
To investigate the effect of Mobile IP on the performance of VANET through realistic channel conditions.
Authors: Sharma Komal
Published: May 2018

Abstract Vehicular Ad hoc Network (VANET) is a specialized Ad hoc Network, which provides safety and comfort for passengers [1]. Due to the specific characteristic of VANET like high mobility and large scale node population [1], providing Quality of Service (QoS) in this type of wireless network is a challenging issue. As a result, we combine Mobile IP and VANET to improve QoS in terms of packet loss and throughput for traffic safety and entertainment applications. Comparative performance evaluation is done in terms of QOS parameters to show the network performance using different traffic types and by varying speed of the vehicles under urban scenario.
A Heuristic Algorithm that Finds the Minimum and the Maximum of the Outputs of a Fuzzy Socio-political Model of E-democracy
Authors: Turcoane Ovidiu
Published: May 2018

Most of the techniques of nonlinear optimization assume the existence of a differential function, but there also exist other approaches. In this paper, we propose a non-differential algorithm that solves the problem of minimization and maximization for any objective function of several unknown variables. The algorithm searches for a solution vector of variables that yields the optimal result of the objective function, using a trial-and-error process. The algorithm is not fast, but it converges to a non-trivial solution, if it exists. The method will be used to determine the minimum and the maximum of the outputs of a socio-political model of E-Democracy. This model of E-Democracy is based on a Mamdani fuzzy inference system.Â  We provide formalization and Matlab implementation for our fuzzy system and for the algorithm
Research on Application of Brand building of Chiang Ma Yuan Recreational Farm Area
Authors: Hsin-Ying Liu, , Chih-Yao Lo, , Cheng-I Hou, , Ta-Sheng Lee,
Published: May 2018

In modern society, people face expedited information communication, fast-paced life, and high-pressure work. People are eager for the natural environment of relaxation. The government in Taiwan has paid special attention to the development of leisure agriculture. Events that incorporate farm landscape and agriculture have been held, and rural living has been promoted. Through public engagement and experience, it is expected that agriculture can be promoted into a leisure industry with unique recreational features, in order to bring in additional incomes for the farmers, drive the regional economic development, elevate the living standards of the farmers, promote employment, protect and develop rural culture, and realize ecological conservation.This paper explores the factors for brand building in leisure agricultural area, and treats Chiang Ma Yuan Recreational Farm Area in Dahu Township, Miaoli County, as the target. Literature review was first conducted to develop the semi-open questionnaire. Then modified Delphi method was adopted for expert interviews, in order to collect expert consensus, and identify the constructs and elements for the brands in hierarchal analysis.Â The results were used to analyze the constructs and elements of brand building in Chiang Ma Yuan Farm Area, and suggest its future development direction.Â
Web-Based Knowledge Acquisition Approach for Building Diseases Symptoms Ontology
Authors: Alharbi Amal Hamed
Published: May 2018

Today medical ontologies have an important role in medicine field to represent medical knowledge. They are much stronger than biomedical vocabularies. In diseases diagnosis process, each disease has number of symptoms associated with it. We can employ ontology in helping to diagnose diseases by building Diseases-Symptoms ontology, which relate diseases and symptoms. Such ontology would be very useful for medical expert systems to assist physicians in diagnosis diseases or as a training tool for medical students. In this paper, we propose a method that automatically extract medical knowledge from Web resources and build Diseases-Symptoms ontology. We use the linguistic pattern and statistical analysis techniques based on Bing search engine. We evaluated the proposed method for two diseases Hyperthyroidism and Eczema by two consultant physicians.
CLOUD COMPUTING SECURITY AND DATA PROTECTION: A REVIEW
Authors: Singh Gurpreet , Mishra Susmita
Published: May 2018

Scientific computing in the 21st century has evolved from fixxed to distributed work environment. The current trend of Cloud Computing (CC) allows accessing business applications from anywhere just by connecting to the Internet. Evidence shows that, switching to CC organizations' annual expenditure and maintenance are being reduced to a greater extent. However, there are several challenges that come along with various benefits of cloud computing. Among these include security aspects. Our aim is to identify security challenges for adapting cloud computing and their solutions from real world for the challenge that do not have any proper mitigation strategies identified.This non-existence of global standards and guidelines could be help academics to know the state of practice and formulate better methods/standards to provide secure interoperability. The identified cloud computing security challenges and solutions, can be referred by practitioners to understand which areas of security need to be concentrated while adapting/migrating to a cloud computing environment.Â
ENHANCED SECURITY MECHANISM IN CLOUD COMPUTING USING HYBRID ENCRYPTION ALGORITHM AND FRAGMENTATION: A REVIEW
Authors: Kaur Amandeep , Luthra Mr. Pawan
Published: May 2018

Cloud is a term used as a metaphor for the wide area networks (like internet) or any such large networked environment. It came partly from the cloud-like symbol used to represent the complexities of the networks in the schematic diagrams. It represents all the complexities of the network which may include everything from cables, routers, servers, data centers and all such other devices. Cloud based systems saves data off multiple organizations on shared hardware systems. Data segregation is done by encrypting data of users, but encryption is not complete solution. We can do segregate data by creating virtual partitions of data for saving and allowing user to access data in his partition only. We will be implementing cloud security aspects for data mining by implementing cloud system. After implementing cloud infrastructure for data mining for cloud system we shall be evaluating security measure for data mining in cloud. We will be fixing threats in data mining to Personal/private data in cloud systems.Â Â
INTRODUCTION TO CLOUD COMPUTING
Authors: Madaan Pankaj , Singh Jagdeep , Kumar Mukesh , Kumar Sahil
Published: May 2018

In todayâ€™s era every organization wants to implement Cloud Computing to fullfil their needs ofÂ  computing.The Cloud computing is a fastest growing area in every sector like IT industry ,Government organizations etc . The Cloud computing emerges as a new computing paradigm which aims to provide computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. The intent of this paper is to have a review on cloud computing, its working ,its use in various sectors,deployment models and services.
BIOMETRIC PERSONAL IDENTIFICATION ON 2D WAVELET TRANSFORM AND CHI-SQUARED MODEL
Authors: TundeAdeniyi Taiwo , Olabode Olatubosun , Iwasokun Gabriel B. , Oluwadare Samuel A. , Akinyede Raphael O.
Published: May 2018

Iris recognition system consists of image acquisition, iris preprocessing, iris segmentation and feature extraction with comparism (matching) stages. The biometric based personal identification using iris requires accurate iris segmentation for successful identification or recognition. Recently, several researchers have implemented various methods for segmentation of boundaries which will require a modification of some of the existing segmentation algorithms for their proper recognition. Therefore, this research presents a 2D Wavelet Transform and Chi-squared model for iris features extraction and recognition. Circular Hough Transform was used for the segmentation of the iris image. The system localizes the circular iris and pupil region and removes the occluding eyelids and eyelashes. The extracted iris region is normalized using Daugmanâ€™s rubber sheet model into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data (iris signature) from the 2D wavelet transform data is extracted, forming the biometric template. The chi-squared distance is employed for classification of iris templates and recognition. Implementing this model can enhance identification. Based on the designed system, an FAR (False Acceptances ratio) of 0.00 and an FRR (False Rejection Ratio) of 0.896 was achieved.
Factors Affecting mobile Learning Readiness Among Students and Lecturers: A Model for Mobile Learning Readiness in Kenyan Universities
Authors: Ogamba Stanley Mogaka , Peters Ikhoa Anselemo
Published: May 2018

Mobile learning plays an important role in developing both learning and teaching approaches in institutions of higher learning. However, a successful implementation of mobile learning strategies in Kenyan universities will largely be affected by users' readiness to adopt and use this technology. Despite the effort by the Government of Kenya through the Ministry of Education, Science & Technology to encourage the use of technology in improving access to knowledge and skills in learning institutions, most learners and instructors have not sufficiently embraced this innovation. The purpose of the study was to determine m-learning readiness in the Kenyan Universities and create a model for adoption by these Universities. The purpose of this paper is to examine factors that affect the adoption of mobile technologies usage on mobile learning readiness among learners and instructors in Kenyan universities. A multiple regression analysis model was used to analyze the data collected from 555 participants (363 university students, 173 lecturers, and 19 heads of departments). The results of the study show that attitude, perceived ease of use, perceived usefulness, device type, m-learning content, internet availability, internet affordability, user expertise and institutional ICT strategy significantly influence the ability to use mobile devices and mobile learning readiness. The results of this research provide practitioners, educators and policy makers with meaningful insight into designing an appropriate m-learning model that supports the use of technology in Kenyan universities.
Classification of Cancer of The Lungs Using SVM and ANN
Authors: Fenwa Olusayo Deborah , A. Ajala Funmilola , A. Adigun Adebisi
Published: May 2018

Accurate diagnosis of cancer plays an important role in order to save human life. The results of the diagnosis indicate by the medical experts are mostly differentiated based on the experience of different medical experts. This problem could risk the life of the cancer patients. A fast and effective method to detect the lung nodules and separate the cancer images from other lung diseases like tuberculosis is becoming increasingly needed due to the fact that the incidence of lung cancer has risen dramatically in recent years and an early detection can save thousands of lives each year. The focus of this paper is to compare the performance of the ANN and SVM classifiers on acquired online cancer datasets. The performance of both classifiers is evaluated using different measuring parameters namely; accuracy, sensitivity, specificity, true positive, true negative, false positive and false negative.
Types of classifier in artificial intelligence
Authors: Askarifard Hadis
Published: May 2018

Artificial intelligence or machine intelligence should be considered as the vast domain of junction of many knowledge, sciences and old and new technics. Today, classification of documents is adopted extensively in information recovery for organizing documents. In the method of document supervised classification some correct information about documents that previously have been classified are available for us and based on these information we classify these documents. Thus, we will examine methods such as: expert systems, artificial neural network, Genetic algorithm and fuzzy logics and so on. In this project we examine documents thematically and then using existing algorithms we predict a theme for a new document.
A REVIEW ON IMAGE SEGMENTATION USING GPU
Authors: Kaur Gurpreet , Jindal Sonika
Published: May 2018

Image Segmentations play a heavy role in areas such as computer vision and image processing due to its broad usage and immense applications. Because of the large importance of image segmentation a number of algorithms have been proposed and different approaches have been adopted. Segmentation divides an image into distinct regions containing each pixel with similar attributes. The objective of apportioning is to simplify and/or alter the representation of an image into something that is more meaningful and more comfortable to break down. This paper discusses the various techniques implemented for image segmentation and discusses the various Computations that can be performed on the graphics processing unit (GPU) by means of the CUDA architecture in order to achieve fast performance and increase the utilization of available system resources.
Factors Affecting the Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images
Authors: Mousa Doaa , Zayed Nourhan , Yassine Inas A.
Published: May 2018

Cardiovascular diseases (CVDs) cause 31% of the death rate globally. Automatic accurate segmentation is needed for CVDs early detection. In this paper, we study the effect of the registration and initialization of the level set segmentation on the performance of extracting the heart ventricles for the short axis cardiac perfusion MRI images, as a result, we propose a modified workflow to automatically segment the ventricles by mitigating the levelset initial contour extraction in order to improve the segmentation results accuracy. In the registration experiments, the translational transformation was studied based on both the spatial and frequency domain. The frequency domain based registration is mainly established based on the phase correlation methodology. As for the segmentation experiments, the level set initialization was done through extracting the ventriclesâ€™ real shape from each slice. Though, the final contour of any frame will be used as the initial contour for the next frame. The second initialization strategy was based on defining the initial contour for each frame using the polar representation of the image. Two short axis view datasets of cardiac magnetic resonance (CMR) perfusion imaging were used in testing the proposed methods. Dice coefficient, sensitivity, specificity and Hausdorff distance have been used to evaluate and validate the segmentation results. The system workflow consists of five main modules: preprocessing, localization, initial contour extraction, registration, and segmentation. The segmentation accuracy for left and right ventricles improved from 72% to 77% and from 70% to 81% using the spatial domain based registration algorithm. The polar-based initialization strategy improves the segmentation accuracy from 77% to 81% and from 81% to 82% for the left and right ventricles respectively.
Implementation of the Basic System in the Cloud Type Virtual Policy Based Network Management Scheme for the Common Use between Plural Organizations
Authors: Odagiri Kazuya , Shimizu Shogo , Ishii Naohiro
Published: May 2018

In the current Internet-based systems, there are many problems using anonymity of the network communication such as personal information leak and crimes using the Internet systems. This is because the TCP/IP protocol used in Internet systems does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a solution for solving the above problem, there is the approach of Policy-based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control of every user. In this PBNM, two types of schemes exist. The first is the scheme for managing the whole LAN by locating the communication control mechanisms on the course between network servers and clients. The second is the scheme of managing the whole LAN by locating the communication control mechanisms on clients. As the second scheme, we have been studied theoretically about the Destination Addressing Control System (DACS) Scheme. By applying this DACS Scheme to Internet system management, we realize the policy-based Internet system management. In this paper, we show the DACS system theoretically.
A REVIEW ON MULTISCALE TEXTURE FEATURES USING STEERABLE PYRAMIDS
Authors: Pooja Pooja , Jindal Sonika
Published: May 2018

As a result of recent advancements in digital storage technology, it is now possible to create large and extensive databases of digital imagery. These collections may contain millions of images and terabytes of data. For users to make the most of these databases effective, efficient methods of searching must be devised. Having a computer do the indexing based on a CBIR scheme attempts to address the shortcomings of human-based indexing. Since a computer can process images at a much higher rate, while never tiring, the manpower issue is solved. In this paper, we will discuss the architecture of CBIR with steerable pyramids and their shortcomings.
A REVIEW ON MULTIQUERY SYSTEM FOR CONTENT BASED IMAGE RETRIEVAL
Authors: Meenu Meenu , Jindal Sonika
Published: May 2018

In recent years, very large collections of images and videos have grown rapidly. In parallel with this growth, content-based retrieval and querying the indexed collections are required to access visual information. Two of the main components of the visual information are texture and color. In this thesis, a content-based image retrieval system is presented that computes texture and color similarity among images. Content based image retrieval from large resources has become an area of wide interest now a days in many applications.Â  To speed up retrieval and similarity computation, the database images are analysed and the extracted regions are clustered according to their feature vectors. This process is performed offline before query processing, therefore to answer a query our system does not need to search the entire database images; instead just a number of candidate images are required to be searched for image similarity.
ENCRYPTION METHOD USING PASCAL’S TRIANGLE BASED SUBSTITUTION AND SIERPINSKI TRIANGLE BASED PERMUTATION
Authors: T Sivakumar , K.T Pauvithraa , V Durga Devi
Published: May 2018

Text messages are often created, shared and a person sends at least ten messages a day. Because of its frequent usage those messages are not been encrypted. Thus it is unable to send confidential messages via SMS service. In this paper, we develop a new encryption technique using the notions of Pascals Triangle and Sierpinski Triangle. The proposed method uses the Pascals triangle for substitution and Sierpinski triangle for permutation. The method is simple and easy to implement in real time. It is difficult for the attackers to predict the original message contained in the ciphertext. The proposed method is not much vulnerable to brute force and letter frequency attacks.
A Difference Scheme Using Spline for a Class of Singular Boundary Value Problem
Authors: Singh Arvind K.
Published: May 2018

In this paper, a finite difference scheme using cubic splines has been discussed to find the numerical solution for a class of singular two point boundary value problems for certain ordinary differential equations. The cubic spline approximation leads to the tridiagonal system of equations, which can be solved using Newtonâ€™s method. Second order convergence of the method has been established for quite general conditions. Two numerical examples are given to demonstrate the method and verify the second order accuracy.
A Proposed Electronic Health Record Content Structure Based on Clinical Organizations Survey
Authors: Khedr Dr. Ayman E. , Alsheref Fahad Kamal
Published: May 2018

Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. Several electronic health records systems were implemented in different states with different clinical data structures that prevent data exchange between systems even in the same state. This leads to the important barrier in implementing EHR system which is the lack of standards of EHR clinical data structure. In this paper we made a survey on several in international and Egyptian medical organization for implementing electronic health record systems for finding the best electronic health record clinical data structure that contains all patientâ€™s medical data. We proposed an electronic health record system with a standard clinical data structure based on the international and Egyptian medical organization survey and with avoiding the limitations in the other electronic health record that exists in the survey.
F-MEEP: Fuzzy Logic Based Multihop Energy Efficient Routing Protocol for HWSN
Authors: Rizwan Muhammad , Nisar Muhammad S. , Jiang Hongbo
Published: May 2018

Energy preservation is one of the most important research challenges in Wireless Senor Networks (WSNs). In recent research, topologies and architectures have investigated that allow energy efficiency in WSNs. Clustering is one of the most famous energy efficient techniques. In clustering, the selection of cluster head (CH) and short distance multi-hop energy efficient communication between CH and base station (BS) plays a vital role in order to achieve the desired energy efficiency in the sensor network. In this energy saving solution, we purpose and combine the idea of fuzzy logic based CH selection and multihop short distance communication between CH and base station in order to prolong the stable period and life span of network. Our proposed routing protocol, Fuzzy Logic based Multihop Energy Efficient Routing Protocol (FMEEP) for Heterogeneous WSN, which uses fuzzy logic inference system (FIS) in order to select a qualified CH in the cluster formation process and minimizes the overall energy dissipation in the sensor network. The simulation results have shown that purposed routing scheme outperforms in terms of stability period and network lifetime as compared to previous routing protocols.Â
ENHANCED CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT
Authors: Singh Jagdeep , Luthra Mr. Pawan
Published: May 2018

Cloud computing is one of the latest and upcoming paradigm that offers huge benefits such as reduced time to market, unlimited computing power and flexible computing capabilities. It is a model that provides an on-demand network access to a shared pool of computing resources It comprises a large number of concepts primarily Load Balancing, Scheduling, etc. This paper discusses load balancing as a mechanism to distribute the workload evenly to all nodes in the system to achieve a higher resource utilization and user satisfaction. It helps in allocation and de-allocation of instances of applications withoutÂ  Â failure. This paper reports a new load balancing technique using modified credit based system using task length, task priority and its cost. The proposed algorithm has been implemented in cloudsim toolkit and its comparison with existing algorithm has been discussed in the paper.
ENHANCED CBIR MECHANISM USING STEERABLE PYRAMID AND MEDIAN VECTOR ALGORITHM
Authors: Pooja Pooja , Jindal Sonika
Published: May 2018

Recently, digital content has become a significant and inevitable asset of or any enterprise and the need for visual content management is on the rise as well. Content-based image retrieval has attracted voluminous research in the last decade paving way for development of numerous techniques and systems besides creating interest on fields that support these systems. CBIR indexes the images based on the features obtained from visual content so as to facilitate speedy retrieval. In this thesis work, we present a steerable pyramid based image retrieval system that uses color, contours and texture as visual features to describe the content of an image region. We have initially used steerable pyramid to extract texture features from query image and database images and store them in feature vectors. Second, to speed up retrieval and similarity computation, the database images are classified and the extracted regions are clustered according to their feature vectors using median vector algorithm. This process is performed before query matching takes place. Therefore to answer a query our system does not need to search the entire database images; instead just a number of candidate images are required to be searched for image similarity.Â  Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time. The experimental evaluation of the system is based on a satellite and medical image database. From the experimental results, it is evident that our system performs significantly better and faster compared with other existing systems. In our analysis, we provide a comparison between retrieval results based on features extracted from the whole image using steerable pyramid with median vector and features extracted from same image without median vector. The results demonstrate that each type of feature is effective for a particular type of images according to its semantic contents, and using a combination of them giving better retrieval results for almost all different classes of images in the dataset.Â Â
MARKETING INFORMATION SYSTEMS IN THE HEALTH SECTOR: A PRACTICE IN HOSPITALS IN TURKEY AND JORDAN
Authors: Durmaz Dr. Yakup , PEKMEZC? Dr. Turan , WAHID ABDUL
Published: May 2018

Health tourism, showing development in the last twenty years in the world, has emerged as an alternative tourism. Health tourism, very quickly developing among alternative tourism options, is an important profit tool since it is increasing the number of business enterprises serving in this field. In this sense, marketing objectives set out in the health services is very diverse. The main objective of the health service is to determine accurately the demands of the target customer and meeting their needs and demands at the highest level to satisfy patients/customers. In this research perception on marketing information systems of public and private hospital managers in Turkey (Gaziantep) and Jordan (Amman) was investigated and perception of patients sought medical treatment in the hospitals of these countries examined using the survey technique. It is confirmed that patients in these countries have different perceptions in terms of hospitals, general services, health services and customer satisfaction. According to the resulting data, there is no difference in perception of managers in these countries on marketing information systems.
Reversible data hiding based on histogram modification of difference images by s-type and Hilbert curve scanning
Authors: Chen Jin , Ye Ruisong
Published: May 2018

Reversible data hiding technology has currently attracted great attention recently. Using reversible data hiding methods,Â original cover images can be recovered losslessly from the cover image embedded information. In this paper, spatialÂ reversible data hiding schemes based on histogram modification of difference images are discussed, in which the pixelÂ gray values of difference image are altered slightly to perform the embedding and extraction. Specifically, we design twoÂ reversible data hiding schemes based on S-type scanning and Hilbert curve scanning, and compare them with the reversibleÂ data hiding scheme by difference between adjacent columns of the cover image. Embedding capacity and PSNRÂ are calculated to figure out how block size, difference manner and embedding level influence the effect of hiding.
Security Frameworks: A Study on Different Approaches for the Internet of Things
Authors: Oliveira Luan , Abdelouahab Zair , Sousa Breno , Lopes Denivaldo
Published: May 2018

This paper provides an overview of some of the major works that focus on the use of security frameworks for Internet of Things environment to facilitate the development of applications for this scenario. The Internet of things or "IoT" is characterized by a high heterogeneity degree of devices and network protocols, where all kinds of communications appear to be possible, even unauthorized ones. As a result, requirements such as reliability, connectivity, privacy and security are becoming increasingly more critical. This paper discusses the applicability and limitations of the main existing security frameworks in the context of the Internet of Things.
A Survey On Cloud Computing and Its Benefits
Authors: Kaur Prabhpreet , Sachdeva Monika
Published: May 2018

Cloud computing is an increasingly popular paradigm for accessing computing resources. In practice, cloud service providers tend to offer services that can be grouped into three categories: software as a service, platform as a service, and infrastructure as a service. Cloud computing represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers over the internet from large-scale data centers â€“ or â€˜cloudsâ€™. This paper discusses some of the research challenges for cloud computing from an enterprise or organizational perspective, and puts them in context by reviewing the existing body of literature in cloud computing. Various research challenges relating to the following topics are discussed: the organizational changes brought about by cloud computing; the economic and organizational implications of its utility billing model; the security, legal and privacy issues that cloud computing raises. It is important to highlight these research challenges because cloud computing is not simply about a technological improvement of data centers but a fundamental change in how IT is provisioned and used. This type of research has the potential to influence wider adoption of cloud computing in enterprise, and in the consumer market too.
Some aspects of Routing Protocols at Wireless Sensor Networks
Authors: Shaqiri Irfan , Tentov Aristotel
Published: May 2018

In this paper we give an overview of some routing protocols which can improve the efficiency and scalability of wireless sensor networks. The Wireless Sensor Network (WSN) is a network consisting of ten to thousand small nodes with sensing, computing and wireless communication capabilities. WSN are generally used to monitor activities and report events, such as pollution parameters, healthcare issues, fire info etc. in a specific area or environment. It routs data back to the Base Station (BS). Data transmission is usually a multi-hop from node to node towards the BS. This type of networks is limited in power, computational and communication bandwidth. The main goal of all researchers is to find out the energy efficient routing protocol which will improve considerably networks resources in term of prolonging lifetime of sensor nodes. Also we highlight the various routing protocol with advantages and limitations as well.
Comparative Study of AODV andDSR Routing Protocols forGateway Placement Optimization
Authors: Al-Bayati Jamal Muafaq Hameed
Published: May 2018

This paper considers mobile ad-hoc network (MANET) in which mobile nodes can reach the Internet via stationary gateway node. The gateway works as bridge between MANET and the Internet. Several studies show that location of the gateway inside network topology has a significant effect on overall network performance. Two different scenarios, with varying number of nodes and two gateway locations, have been considered under the assumption that all mobile nodes are connected to Internet through the same gateway. Simulation has been done using NS-2 software, producing a computer model of AODV and DSR routing protocols. Comparison of these routing protocols is performed in terms of Average (end-to-end) delay, Throughput, Normalized routing load and Packet delivery ratio metrics. Simulation results suggest that AODV routing protocol has better performance in both scenarios. In addition, the results suggest that location of gateway at the center gives better results compared to gateway positioned at the edge.
Multi-factor analysis of pair programming based on PSP methodology
Authors: Bayatmoghadam Nabiollah , Sami Ashkan
Published: May 2018

In regard with designing software, users play key role. In order to design software, it is necessary to observe standard principles of designation, using templates and using modern methods. Over the decades, using development methods, XP and one of the XP methodologies of paired programming used to design software. These methods have been designed for purpose of enhancing quality of product and rapidresponse to need of market and customer and overcoming weaknesses of traditional methods based on long-term programming and waterfall method. Therefore, every programmer and developer can pass a series of processes for constructing computer software. The processes can be changed daily and efficient processes maynot be effective and useful; although they can be considered as process. The main objective of the present study is multi-factor analysis of pair programming based on PSP methodology. Practical and analytical methodand two PSP methods have been applied for investigations.
Performance Analysis of Amplify and Forward Cooperative Networks over Rayleigh and Nakagami-m Channels based Relaying Selection
Authors: Mohammed Ali Abdulwahhab , Yu Li , Yu Li , Al-Kali Manar , Al-Kali Manar , Wang Desheng , Wang Desheng
Published: May 2018

In this paper investigates the performance, analysis of amplify and forward (AF) cooperative networks with the relay selection over Â Nakagami-m and Rayleigh fading channels and Â M-ary phase shift keying (MPSK) modulations. New closed form expressions are derived for the general cases of Rayleigh and Nakagami-m fading channels. cumulative density function (CDF), probability density function (PDF) of the end â€“to - end signal â€“to â€“ nois ratio (SNR) of a dual-hop opportunistic AF relaying system, moment generating function (MGF), symbol error rate (SER) and outage probability (Pout). and the firstÂ  closed-form study for opportunistic AF relaying system where the best node is selected from a number of candidate intermediate nodes to relay the data signal between the source and the destination. Simulation results reveal that the PDF , CDF, Pout and SER performance downgrades either the m parameter or the number of relays increases. Our simulations compared between Rayleigh and Nakagami-m links for a different number of relays. In addition, different modulation techniques are examined to show the effect of the modulation scheme which was used over Rayleigh and Nakagami-m fading channels on the cooperative networks. The obtained results proved the impact of m parameters, relay selection and modulation index on the pout and SER performance.
The holes problem in wireless sensor netwoks by using the available energy fairly
Authors: Mousavinasab Zohreh , Saadati Zahra
Published: May 2018

We consider the holes problem in wireless sensor netwoks by using the available energy fairly. The holes problem occurs when the available energy of some sensors are exhausted while others have significant energy. In this circumstance, ehile the total available energy of the network is high, the networkÂ  is no longer working. Such a problem mainlyÂ  happen due to unbalanced energy consumpsion in clustering and communication protocols. In this paper, we deal with this problem and propose an data aggregation algorithm based on the well-known clustering algorithm LEACH and tree construction mechanisms. In proposed method we consider the available energy of each sensor node as a weigthing parameter in clustering phase and tree-construction phase. Experimental results show the ability of the proposed method to increase the life time of the network and to distribute the energy uniformly along the network.
Measuring Radar Signatures of a Simple Pendulum using Cantenna Radar
Authors: Harsh Archit
Published: May 2018

This paper gives a detailed analysis of the physics of simple pendulum and the equations governing the motion and velocity. The pendulum works in three modes: simple, damped and driving and driving only. The signatures are evaluated and simulated by the means of four different approaches: Euler method, Euler-Cromer method, 2nd order Runge-kutta method and built-in ODE-23 matlab solver. The simulation results are compared to the measured radar signatures using a CANTENNA RADAR originally developed by MIT. The radar was operated in Doppler mode and the micro-Doppler effects associated with pendulum is studied. This paper attempts to provide an in-depth background and analysis of how the pendulum works and the associated micro-Doppler study using RADAR.
Impact of using Infinity-Norm with Initial Radius on Performance and Complexity of SD Algorithm in MIMO systems
Authors: Sulttan Mohammed
Published: May 2018

Â In recent years, the iterative decoding techniques have played a role in improving the performance (e.g., bit error rate) and reducing the complexity of various digital communication systems. Techniques of Multiple-Input Multiple-Output (MIMO) are the main technology to enhance and achieve high-speed, high data rates, improved reliability and coverage in wireless communications. The modern wireless communications require a low complexity system for detection, since a high CPU processing involves more energy consumption and thus less flexibility in mobility terms. The sphere decoding (SD) technique proposed to solve this problem, such as an efficient algorithm. The norm-2 or l^2-norm (Euclidean metric) considered as a traditional norm that is used to achieve the tree traversal stage in SD algorithm. This work is divided into two parts; Firstly, we propose to using Infinity-Norm or l^âˆž-norm instead l^2-norm to decreases the hardware complexity of SD with a loss of performance is negligible, the simulation results show that the proposed l^âˆž-norm SD needs 14.5% to 5.9% fewer complexities than l^2-norm SD. Secondly, we are investigating the impact of choosing initial radius on the performance and complexity of SD algorithm, we can conclude from the simulation results, that gain a better performance requires increasing in the initial radius of an SD algorithm from d1 (Î³ =2) to d3 (Î³ =8), and this mean addition more complexity due to the tradeoff Â between performance and complexity.Â  Â  Â Â In recent years, the iterative decoding techniques have played a role in improving the performance (e.g., bit error rate) and reducing the complexity of various digital communication systems. Techniques of Multiple-Input Multiple-Output (MIMO) are the main technology to enhance and achieve high-speed, high data rates, improved reliability and coverage in wireless communications. The modern wireless communications require a low complexity system for detection, since a high CPU processing involves more energy consumption and thus less flexibility in mobility terms. The sphere decoding (SD) technique proposed to solve this problem, such as an efficient algorithm. The norm-2 or -norm (Euclidean metric) considered as a traditional norm that is used to achieve the tree traversal stage in SD algorithm. This work is divided into two parts; Firstly, we propose to using Infinity-Norm or -norm instead -norm to decreases the hardware complexity of SD with a loss of performance is negligible, the simulation results show that the proposed -norm SD needs 14.5% to 5.9% fewer complexities than -norm SD. Secondly, we are investigating the impact of choosing initial radius on the performance and complexity of SD algorithm, we can conclude from the simulation results, that gain a better performance require increasing in the initial radius of an SD algorithm from d1 (Â =2) to d3 (Â =8), and this mean addition more complexity due to the tradeoffÂ  between performance and complexity.