bluuebunny/crossref_metadata_2025 huggingface dataset:
A MEDIATING EFFECT OF DONGLE AND BROADBAND ON THE RELATIONSHIP BETWEEN USERS FACTORS AND CONNECTION IN LIBYA
Authors: Musbah Musbah. A. , Khalifa Nasradeen. A.
Published: May 2018

This is a positioning paper reflecting the problem and proposed the other name of Internet is technology. It is a Global system which is interconnected with computer networks all over the world. It also uses the standard of Internet protocol suit (TCP/IP) to make a linkup with millions of computer devices globally. Internet is a web of network which interconnects millions of private, public, academic, business, and government networks, of local to global scope, that are linked by a broad array of electronic, wireless, and optical networking technologies, the aim of this study is to examining the local field data for Dongle connection and Broadband connection in for selected site and to develop a statistical relationship users and connection at selected sites as well as to validate developed a model with respect to connection at selected sites. The Internet allows greater flexibility in working hours and location, especially with the spread of unmetered high-speed connections. Internet can be accessed in anywhere by any means or medium. Internet not only be used in big screen computers or laptops but also can be used in smart phones and tablets. There are many medium or source of internet connections, but in this advance technology there are two broad sources and they are either broadband connection or dongle connection.
Detection of Optic Disc in Retina Using Hough Transform
Authors: Patil Vijaya , Kumbhakarna Vaishali , Kawathekar Dr. Seema
Published: May 2018

We propose a method to automatically locate the Optic Disc (OD) in fundus images of the retina. Based on the properties of the OD, our proposed method includes edge detection using the Canny method, and detection of circles using the Hough transform. The Hough transform assists in the detection of the center and radius of a circle that approximates the margin of the OD. Based on the feature that the OD is one of the brightest areas in fundus image, the potential circles can be detected by Hough transform.
RFID Based Efficient Wireless Monitoring System
Authors: Ibraheem Manar Khalid , Al-Qaraawi Salih M. , Croock Muayad Sadik
Published: May 2018

Nowadays, surveillance has become a need in any private or public area due to the increase in the number of threats such as robberies, terrorists, and abusers. In this paper, an efficient wireless monitoring system using Radio Frequency Identity (RFID) is proposed. The aim of this system is to detect a specified target during his movement in the covered region. The efficiency of the proposed system is clearly noticed through both storage capacity and power consuming reduction. This is done by dominating the work of cameras operation when receiving a signal from the distributed detectors. The obtained results show the saving in power and storage capacity is more efficient in comparison with the traditional monitoring systems. This work has two implemented sides; hardware and simulated environment that using Microsoft visual studio (C# framework).
Balancing Energy Consumption in Wireless Sensor Networks Using Biogeography Based Optimization Algorithm and Fuzzy Approach
Authors: Yasir Basim Abood , Li Yu , Hussien Aliaa , Wang Desheng
Published: May 2018

Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in wireless sensor networks (WSNs) research. When designing a WSN infrastructure Resource limitations have to be taken into account. The inherent problem in WSNs is unbalanced energy consumption, characterized by multi hop routing and a many-to-one traffic pattern. This uneven energy dissipation can significantly reduce network lifetime. This paper proposes a new routing method for WSNs to extend network lifetime using a combination of a fuzzy approach and Biogeography Based Optimization (BBO) algorithm.Â  Determine an optimal routing path from the source to the destination by favoring the highest remaining battery power, and the lowest distance (minimum number of hops) to the sink. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, we compare our approach with the BBO search algorithm and fuzzy approach using the same routing criteria. Simulation results demonstrate that the network lifetime is significantly increased by employing the proposed routing method.
A New Algorithm for Image Fusion to reduce computational Time
Authors: Kaur Navjot , Kaur Navneet
Published: May 2018

Image fusion is a process to combine two or more images so that fused image becomes more informative than input images. Fusion process provides the spectral and spatial information of image. But main problem occurs of computational time when high resolution images are fused. So this paper describe a new algorithm that is based on wavelet transform in which transform is applied after forming the image into different blocks. This algorithm divides the complete image into different blocks andthen comparing the images by finding the mean square error.By using the threshold value wavelet transform is applied to require block. The transformed blocks are fused by using different fusion algorithms like averaging method, maximum or minimum pixel replacement fusion algorithm. By applying inverse of wavelet transform fused image is constructed which is more informative than the input images. The quality of fused image is find out by comparing the fused image by the original image by finding mean square error and peak signal to noise ratio. The whole process of fusion is applied on the complete image and also by using blocking method then by finding the time parameters it can be conclude that the proposed algorithm reduces the computational time by 10 times to the existence method.
Optimized Load Balancing Strategy In Cloud Computing : A Review
Authors: Kaur Parveen , Sachdeva Monika
Published: May 2018

Now a days every organization is migrating towards  cloud computing as cloud computing is considered being more flexible and scalable as compared to other technologies. The technology simply means to provide the computing resources and services through a network. This paper discusses the existing approaches for scheduling algorithms that can maintain the load balancing and provides better improved strategies through efficient job scheduling and modified resource allocation techniques. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time.
A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters on Objective Functions
Authors: Emam Usama
Published: May 2018

This paper proposes an algorithm to solve multi-level multi-objective quadratic programming problem with fuzzy parameters in the objective functions, This algorithm uses the tolerance membership function concepts and multi-objective optimization at each level to develop a fuzzy Max-Min decision model for generating satisfactory solution after applying linear ranking method on trapezoidal fuzzy numbers in the objective functions, An illustrative example is included to explain the results.
Mapping Monthly Average Global Solar Radiation over Iraq Using GIS and Heliosat Model
Authors: Z. Ali Hussain , AL-Salihi Ali. M. , AL-Abodee Ahmed. K.
Published: May 2018

The mapping of global solar radiation is important in designing of solar energy system and renewable energy applications, also the global solar radiation estimation and mapping will facilitate engineers and architect purposes and applications. In present paper measured and estimated global solar radiation data was employed. The estimation of global radiation data can give results with acceptable accuracy to establish solar maps of monthly radiation using Geographic Information Systems (GIS) software. Simple Kriging interpolation was used to derive radiation maps over Iraq. Â Different models were employed, namely Spherical, Circular, and Gaussian. Solar radiation data for the years 1985,1990,1995,2000 and 2005 were used for the production of solar radiation maps over Iraq. On average, Iraq receives (5000) kWh/m2 of global solar radiation in year 2005. The highest global solar radiation is estimated at 6790kWh/m2 in September while the lowest is 1660 kWh/m2in December. Cross validation was used to find the best model by comparing the error criteria, namely MPE, RMS, MSPE, RMSS, and ASE. It was found the Spherical model gives best results according to the cross validation error criteria.Mapping Monthly Average Global Solar Radiation over Iraq Using GIS and Heliosat Model
EXTENDED SUBCLASS OF CYCLIC SEPARABLE GOPPA CODES
Authors: Sharma Ajay , VINOCHA O. P.
Published: May 2018

In 2013[4]a new subclass of cyclic Goppa code with Goppa polynomial of degree 2 is presented by Bezzateev and Shekhunova. They proved that this subclass contains all cyclic codes of considered length. In the present work we consider a Goppa polynomial of degree three and proved that the subclass generated by this polynomial represent a cyclic, reversible and separable Goppa code.
Secret Sharing Approach in Multi-database System
Authors: Choudhary Shipra PraveenKumar , Katarni Apeksha , Manjrekar Shweta , Devmane Mrs. Vidyullata , Hirlekar Mrs. Vaishali
Published: May 2018

Secret sharing schemes are ideal for storingÂ highly sensitive data. A secret is divided into many parts and every participant gets his unique part. If we combine all of these parts and try regenerating the secret then it might be impractical, and therefore the threshold scheme is used. Shamirâ€™s secret sharing scheme supports the same. Here, some of the parts or all of them are required to reconstruct the secret. Any threshold number of parts are sufficient to reconstruct the original secret. The Admin has a set of files which are confidentiality and availability of data. Whenever a Client requests to access the files, the Admin performs authentication of the user through an encrypted and stored on multiple databases so as to achieve Authentication module, who makes use if Shamir's secret sharing concept. This is similar to the One Time Password (OTP) mechanism. If the Client is authentic, Admin grants him the decryption key and the Client can access the file. In this paper, we shall discuss all this in detail using which we can provide security, replication of data and authentication.Â
SIMULATION AND PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS FSR AND ZRP IN VEHICULAR AD-HOC NETWORK (VANET)
Authors: Septianti Putri Annisa , Munandi Rendy , Negara Ridha Muldina
Published: May 2018

Vehicular Ad-Hoc Network (VANET) is a wireless routing network which used ad hoc network system as the basis. VANET was formed to give solution to the unclear network infrastructure or frequently changing network topology. The change of speed and the nodes amount in an area influenced the overhead level in sending message and end to end delay with low packet loss. The right routing protocol selection has an important role in guarantee the Quality of Service in VANET which needs low delay and overhead. This study analyzed the Fisheye State Routing (FSR) protocol performance as a proactive routing protocol that renew the table routing in certain period and Zone Routing Protocol (ZRP) as a hybrid protocol that uses zone and hop distant to decide the table routing renewal in sending data with Cisco codec G 711 standard in highway areas using NS-2.31 and NS-2.35 and traffic simulator SUMO 0.12.3. Moreover, the measured metrics performances were Average end-to-end delay, Normalized Routing Load, Average Throughput, Packet Delivery Ratio (PDR), and Routing Overhead.
An English -Arabic Real Time System (EARS)
Authors: Asakr Ali
Published: May 2018

Researchers, international traders, and politicians necessitate a common interactive language to deal and keep their work secure. Using a direct language translator enables customers to deal with others, each one uses his own mother languages. This machine fulfills security, and confidence. The translation machines include in their memories, databases for synonyms, and vocabularies for the bi- languages. This system may be used in teleconferences and international political committees. This paper presents a modular system that translates Arabic toÂ  English and English to Arabic (AE-EA) via a real time interactive system. This necessitates standard references for Speech to Text (ST) , Text to Speech (TS) and Text to Text Translators (TTT). The paper test statistically, the accuracy of transformation, it gave encourageous results. Â
Applying Artificial Bee Colony Algorithm for feature optimization in UAV Navigation
Authors: Heidari Hossein , Mardani Mohammad
Published: May 2018

In this paper, the bee colony algorithm is used for optimizing features which have been extracted from UAVâ€™s digital camera by SURF algorithm. To do that, the local map is stored in UAV memory before flight. During flight, images will be captured by a digital camera and the features in successive image will be extracted using SURF algorithm because SURF algorithm is considered highly insensitive to environmental light, scale changes and noise. Then, the extracted features will be optimized using the bee colony algorithm and will be compared with the original map features to find the location and direction of UAV. Simulations show that proposed algorithm has good precision and is robust to scale changes, light intensity variations, and noise.
Compose Walsh’s Sequences and M-Sequences
Authors: Cheikha Dr. Ahmad Hamza Al
Published: May 2018

Walsh Sequences and M-Sequences used widely at the forward links of communication channels to mix the information on connecting to and at the backward links of these channels to sift through this information is transmitted to reach the receivers this information in correct form, specially in the pilot channels, the Sync channels, and the Traffic channel.

This research is useful to generate new sets of sequences (which are also with the corresponding null sequence additive groups) by compose Walsh Sequences and

M-sequences with the bigger lengths and the bigger minimum distance that assists to increase secrecy of these information and increase the possibility of correcting mistakes resulting in the channels of communication.
Colored Image Segmentation using K-Means Algorithm
Authors: Vishnoi Ishita , Khetan Nikunj , Indu Sreedevi
Published: May 2018

Hand gestures are natural means of communication for human beings and even more so for hearing and speech impaired people who communicate through sign language. Unfortunately, most people are not familiar with sign language and an interpreter is required to translate dialogues. Hence, there is a need to develop a low cost, easily implementable and efficient means to recognize sign language gestures to eliminate the interpreter and facilitate easier communication. The proposed work achieves a satisfactory recognition accuracy using in-built laptop webcam using combination of 3 skin color models(HSV,RGB,YCbCr) and background subtraction to eliminate noise from webcam low quality images to recognize sign language for helping the hearing and speech impaired in real-time without requiring too much computational power or any other device as it can be implemented in any laptop with a webcam.
Optimal Parallelization Of Loop Structures
Authors: Ciaca Monica-Iuliana , Mocean Loredana , Vancea Alexandru , Avornicului Mihai
Published: May 2018

This paper is intended to be a follow up of the work done by the authors in previous articles. On one hand it is concluded with a theorem that proves to be a definite answer to one very important research direction and on the other hand it is an opening of new research directions in the field of loop structures automatic parallelization.
Safety of Smart Cities
Authors: Prochazkova Dana , Prochazka Jan
Published: May 2018

Present work is based on the concept of integral safety management of system of systems and it gives the proposal of set of measures into the simultaneously modern concept of communities called â€œsmart citiesâ€. The target is to ensure the safe smart city, i.e. the human community that will ensure the security and the development of their citizens under the conditions of normal, abnormal and critical. This demand is important because the mentioned diversity of life conditions is the result of both, the dynamic development of world and the human errors at control of behaviour of human society in the community.
Exploiting Flaws in Big Data Systems
Authors: Brown Michael G. , Centonze Paolina
Published: May 2018

In this journal we discuss the relevant security threats, vulnerabilities and prominent techniques to securing data lake. Over the last few years, Big Data solutions to data processing have made remarkable strides in the how we interpret data. Because of its ubiquitous nature and ability to handle various data types, it has become a valuable tool and asset to many other fields including bioinformatics solutions, marketing solutions, and social media. Ethical infractions also play a role in data processing and because of this, it is critical that comprehensive security solutions are determined and enforced under the appropriate conditions. Although modern security techniques are well developed, they still leave room for scrutiny as vulnerabilities continue to unfold.Â  In this paper, we will examine and compare modern ethical exploit techniques as well ass techniques to promote greater authentication and overall perimeter security. The scrutinization of the current methods met through exploitation, be it physical or conceptive, is imperative in defining the understanding and verification of definite secure solutions. Â
A Review of Digital Signature Using Different Elliptic Cryptography Technique
Authors: Singh Bhadoria Anurag , Jain Anurag
Published: May 2018

Authentication and verification of digital data is important phase in internet based transaction and data access. For the authentication and verification used digital signature operation. For the operation of digital signature various cryptography techniques is used. The strength of cryptography technique measures the strength of digital signature. For the strength improvement various cryptography techniques is used such as RSA, ECC and some other bit level cryptography technique. In this paper present the review of digital signature technique basically based on elliptic curve cryptography technique. The elliptic curve cryptography technique is much stronger than other cryptography technique.Â
SECURITY MECHANISMS AND ANALYSIS FOR INSECURE DATA STORAGE AND UNINTENDED DATA LEAKAGE FOR MOBILE APPLICATIONS
Authors: Santana Vanessa M. , Centonze Paolina
Published: May 2018

Using one mobile programming language like Objective-C, Swift or Java is challenging enough because of the many things that need to be considered from a security point of view, like the programming language secure guidelines and vulnerabilities. With the introduction of Swift in 2014 itâ€™s now possible to build Swift/Objective-C mobile applications. Building a mobile application using two languages also adds a greater attack surface for hackers because of the need for developers to stay up to date on vulnerabilities on more than one language and operating system.To our best knowledge, since as of today, there is no academic-research based effort comparing Swift, Objective-C and Android from a programming language and platform security point of view. Our comparative analysis covers a subset of OWASP top ten mobile vulnerabilities and seeing how Swift, Objective-C and Android programming languages safeguard against these risks and how the built-in platform security mechanisms for Android and Apple for the chosen subset of OWASP vulnerabilities compare when placed side-by-side.
Congestion Control for Fault Tolerant Multicast Routing in MANET
Authors: Mathad Channabasayya , Paramesha Paramesha , Rao D Srinivasa
Published: May 2018

Mobile Ad hoc Network (MANET) is a collection of two or more devices or nodes or terminals with wireless communications and networking capability that communicate with each other without the aid of any centralized administrator a dynamic network consisting of several mobile nodes communicating wirelessly. MANET is an infrastructure less network and each member node is free to move in and out of the network in a random manner. Congestion may occur in any node when data packets travel from source to destination. Controlling congestion is critical to ensure adequate network operation and performance. Due to this mobile nature of the nodes in MANET, the possibility for the network to get congested is high. This may result in isolated nodes and reduced network performance. So in this paper, we proposed to develop a congestion control technique for fault tolerant multicast routing in MANET. In this technique, the congestion probability around the forwarding node is initially estimated and then according to the congestion level, the future transmission rates are adapted. The data transmission rate is varied dynamically to efficiently handle the congestion in the network. In this way, the network performance is enhanced.
EFFICIENT DESIGN OF STORAGE AND RETRIEVAL METHODS
Authors: Al-Ajeeli Abid Thyab
Published: May 2018

The paper demonstrates the viability of a number of storage techniques such as hashing using multilingual texts. The empirical studies of hashing techniques based on multilingual provide researchers with insight information into the structure of the methods and their applicability. This may lead to more theoretical findings to enhancing performance of storage and retrieval algorithms. A number of experiments were performed using real and random texts from English and Arabic languages with numerous sets of data items and length sizes. The English language is used in the experiments as measurement tools as it is the international language of the world and it has been received the best attention from researchers all over the world. The study shows that chaining techniques consistently generates less number of collisions than open addressing techniques for texts from any language. The motivation behind conducting this study was the lack of research on the performance of hashing algorithms using data items that have dependencies and structures from other than English language. There are also no comprehensive studies performed on Arabic strings. The new finding probably leads to design more efficient hashing algorithms for storing, deleting and retrieving items of information.
Mineral Exploation Using Neural Netowrks
Authors: Abdulrahman Aysar A.
Published: May 2018

Establishing a new site for mining operation is required to find and develop a new source of minerals with precise characteristics such as location, depth, quality and thickness. Mineral exploration is a sequential process of informationgathering that assesses the mineral potential of given area. It starts with an idea of geologic model that identifies lands worthy of further exploration, and itâ€™s the one of risky and costly investments for companies. In this paper, a new method for choosing a scientific map of exploration using neural network was introduced rather than an arbitrary map. The goal of this paper is to demonstrate the effectiveness of Self Organization Map (SOM) algorithm in visual exploration of physical geographic data. The SOM is one of the most popular neural network models, which provides a data visualizationtechnique which helps to understand high dimensional data by reducing the dimensions of data to maps. In the present paper, the algorithm is based on unsupervised learning, and Java programming codes is used to simulate the SOM algorithm.
Using Relational Database Model in Cloud Computing
Authors: Mocean Loredana , Bresfelean Vasile Paul
Published: May 2018

The advent of digital systems for the production and transmission of information decisively influences human progress and represents the future in any field of social life. In order to survive, organizations must correlate the objectives to the new trend of the society based on information, deeply marked by globalization. In recent years new computational paradigm were proposed and adopted. These include Cloud computing. Together with the stabilization of technologies related to Cloud computing, SQL databases have become more attractive due to native support for scalability and distributed architecture and the fact that many of these can be offered as services. The paper presents a few important aspects about cloud computing and proposed a new database designed to be implemented in cloud.Â  We offer a new model and an example of implementing in Romanian medicine[1].Â [1] This is an extended paper of the article presented at The 15th International Conference on Informatics in Economy, Cluj-Napoca, 2016.
A NEW COMBINATION METHOD FOR ENCRYPTION OF MOVING OBJECTS DETECTION IN VIDEO
Authors: Nhan Nguyen Trong , Dengpan Ye
Published: May 2018

Nowadays surveillance systems have been widely deployed in various places and generate massive amount of video data every day. This raises threats of unauthorized access and potential privacy leakage as the recorded videos usually contain rich identifiable information such as facial biometrics. In order to mitigate the threats, many existing methods perform symmetric encryption on the entire frames in the videos. Unfortunately, these methods could introduce additional computation cost and storage. Moreover, as surveillance systems could be a part of distributed system, the key management is critical and challenging. In this paper, we propose a novel method which incorporates background subtraction technique and RSA encryption algorithm. Rather than encrypting the entire frames of the videos, the proposed detect the regions around moving objects in the frames of video and then perform RSA encryption on the detected regions. And RSA encryption technique has its advantages of key distribution and management. Our experimental results show that the proposed method only involve moderate computation cost and storage.
Analyzing patients' EEG energy for brain death determination based on Dynamic 2T-EMD
Authors: Miao Yao , Wang Dongsheng , Cui Gaochao , Zhu Li , Cao Jianting
Published: May 2018

EEG (electroencephalography) energy is an important evaluation indicator in brain death determination based on EEG analysis. In related works, the static EEG energy value can be discovered using EMD (empirical mode decomposition), MEMD (multivariate empirical mode decomposition) and 2T-EMD (turning tangent empirical mode decomposition) for EEG-based coma and quasi-brain-death analysis. However such methods are not time-varying and feasible. In this paper, we firstly propose the Dynamic 2T-EMD algorithm to evaluate the dynamic patients' EEG energy variation by the means of time window and time step method. With the time window sliding along the time axis in a time step, EEG energy of corresponding time step is computed and stored. The proposed algorithm is applied to analyze 19 cases of coma patients' EEG and 17 cases of quasi-brain-death patients' EEG. Two typical patients in coma and quasi-brain-death state and one special case who was from coma to quasi-brain-death have been taken as examples to give the algorithm performance. Results show that EEG energy in coma state are obviously higher than that in quasi-brain-death state, and even present the EEG energy change trend of every case, which can prevent loss of information and wrong analysis results caused by noise interference and provide scientific basis for doctors to evaluate patients' consciousness levels in brain death determination. The proposed algorithm will be very helpful to develop the real time brain death diagnostic system.
A REVIEW ON DYNAMIC RESOURCE ALLOCATION BASED ON LEASE TYPES IN CLOUD ENVIRONMENT
Authors: Kaur Sumanpreet , Ghumman Mr. Navtej Singh
Published: May 2018

Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. Since, cloud has inherited characteristic of distributed computing and virtualization there is a possibility of machines getting unused. Hence, in this paper, different load balancing algorithms has been studied. Different kinds of job types have been discussed and their problems have been reviewed. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed.
A REVIEW ON GENERAL SELF-ORGANIZED TREE-BASED ENERGY-BALANCE ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORK
Authors: Chhabra Shikha , Arora Vishal
Published: May 2018

The quick escalations in network multimedia devices have permitted extra concurrent digital services: video conferencing, online playoffs as well as remote learning to nurture for conform e-net jobs. WSNs have become major area of research in computational theory due to its wide-ranging applications. But due to limited battery power the energy expenditure has become key drawback of WSNs protocols. Although several protocols has been proposed so far to improve the energy efficiency more however still a lot enhancement can be done. GSTEB has shown fairly significant results over the on hand WSN protocols. The general purpose of this work is to study the architecture of WSN and the problems associated with it. At the end of this paper appropriate future guidelines are given to further improve this work.
ENHANCED DYNAMIC RESOURCE ALLOCATION SCHEME BASED ON PACKAGE LEVEL ACCESS IN CLOUD COMPUTING : A REVIEW
Authors: Kaur Manpreet , Singh Dr. Rajinder
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. On cloud computing platform, load balancing of the entire system can be  dynamically handled  by  using  virtualization  technology through which it  becomes  possible  to  remap  virtual  machine  and physical resources  according  to  the  change  in  load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically.  The  load balancing  with  proper  allocation  of  resources  must  be guaranteed  in  order  to  improve  resource  utility.
A REVIEW ON TASK ALLOCATION PERFORMANCE ISSUES IN CLOUD ENVIRONMENT
Authors: Redishettywar Kavita , Thekiya Prof. Rafik Juber
Published: May 2018

Cloud computing is an emerging paradigm in the computer industry where the computing is moved to a cloud of computers. It has become one of the buzz words of the industry. The core concept of cloud computing is, quite simply, that the vast computing resources that we need will reside somewhere out there in the cloud of computers and weâ€™ll connect to them and use them as and when needed. Computing can be described as any activity of using and/or developing computer hardware and software. It includes everything that sits in the bottom layer, i.e. everything from raw compute power to storage capabilities. Cloud computing ties together all these entities and delivers them as a single integrated entity under its own sophisticated management. Load balancing is a mechanism that distributes the dynamic workload equally across over the nodes or virtual machines within the whole cloud server to avoid a state of conflict wherever some virtual machines are measured as heavily loaded whereas others nodes or hosts are measured as idle or doing very little work. It helps to realize a high client satisfaction and resource utilization magnitude relation, consequently increasing the performance and resource utility of the system. It additionally makes sure that each computing resource in the cloud server is distributed with efficiently and fairly among all the requests of the client. It additionally prevents bottlenecks of the system which can occur because of load imbalance.
ENHANCING JOB ALLOCATION USING NBST IN CLOUD ENVIRONMENT: A REVIEW
Authors: Ashima Ashima , Jyoti Mrs Navjot
Published: May 2018

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Interne technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing is a critical aspect that ensures that all the resources and entities are well balanced such that no resource or entity neither is under loaded nor overloaded. The load balancing algorithms can be static or dynamic.  Load balancing in this environment means equal distribution of workload across all the nodes. Load balancing provides a way of achieving the proper utilization of resources and better user satisfaction. Hence, use of an appropriate load balancing algorithm is necessary for selecting the virtual machines or servers. This paper focuses on the load balancing algorithm which distributes the incoming jobs among VMs optimally in cloud data centers. In this paper, we have reviewed several existing load balancing mechanisms and we have tried to address the problems associated with them.
Implementation of Extemporaneous Preparation Using Bar Coding Technology
Authors: Bahmaid Najla Abdulbari
Published: May 2018

Extemporaneous Preparation (Drug Compounding) - the creation of a drug product by mixing ingredients -  is an important part of ensuring that medications are available to meet individual patient needs, the quality and extent of drug compounding have surfaced as important issues in recent years. For example, several compounding cases in the last several years have resulted in critical diseases and deaths, raising concern about observation to ensure the safety of compounded drugs.

This paper lays the groundwork for the development of Extemporaneous Preparation system. This system facilitates compounding process in systemic approach in the pharmacy of king Faisal Specialist Hospital and Research Centre -non profit tertiary care hospital- to prevent manual errors and improve patient safety and quality by using bar coding technology.
SIMULATION Wi-Fi NETWORK WITH WIRELESS DISTRIBUTION SYSTEM (WDS) TOPOLOGY
Authors: Tulloh Rohmat , Putri Hasanah , Nurmantris Dwi Andi , Prihatin Desi Dwi
Published: May 2018

At present, the need for internet access in public area using wireless connections is increasing drastically and this should be supported by good network infrastructure. Wireless network is one of the best alternative in building a practical internet network. WDS is a system to develop wireless internet network without having to use cable as its backbone for access point but instead utilize wireless path from its access point. The problems that often arise in the design of wireless LAN network is the poor signal received by the user due to the installation of an access point that is poor location-wise. This is because at some point it is very difficult to install Access point using cable because the distance is too far from the existing router. In this paper, we propose to use three scenario of WDS mode to compare its performance. We investigate three different topology policy models of the WDS Bridge point-to-point, WDS Bridge point to multipoint and WDS repeater. The use of these three topologies aims to reach locations that are not covered by wireless LAN network, in addition this method can save the use of network resources such as LAN cables. Based on the simulation results, it is found that the topology point to point gives better value but it generated higher delays. The delay generated on point to point is higher than other topologies. Meanwhile, the measurement results are not much different on topology point to multipoint with repeater topology. The point to multipoint topology is slightly better than the repeater of the three QoS parameters.
MOBILE SMART EMERGENCY RESPONSE SYSTEM FOR JEDDAH CITY
Authors: Al-Dhaheri Sahar Ahmed , Alhassan Amal , Alazahrani Weam , Alfadli Khadijah , Meccawy Dr.Maram
Published: May 2018

Responding to disasters and crises is a crucial role for the government to ensure the public safety of society. Responding lies in the counter of crimes of civil or disorders, providing the urgent medical care to injured or sick people, and providing relief of natural and manmade disasters. Despite ongoing attempts to improve emergency response systems in Jeddah, Saudi Arabia, it still suffers from vulnerability.  With the current development of the technology and internet of things (IoT), it became necessary to apply these techniques for improving emergency response systems in Jeddah. In this paper, we present Jeddah Smart Emergency Response System (JSERS) as a solution to improve the emergency response system in Jeddah using smart city technologiesØ² First, we discussed the problems related to the response to accidents and disasters and their history in the Kingdom of Saudi Arabia, especially Jeddah. Consequently, we described the proposed solution, followed by the architecture of the system. Following by the opportunities and the challenges of system implementation are discussed. Finally, a list of suggestions that supports this system implementation and deployment is reported.
Program Analysis For Database Injections
Authors: Ramsingh Chelsea , Centonze Paolina
Published: May 2018

Today businesses all around the world use databases in many different ways to store sensitive data. It is important that the data stored stay safe and does not get into the wrong hands. To perform data management in a database, the language SQL (Structured Query Language) can be used. It is extremely crucial to prevent these databases from being attacked to ensure the security of the usersâ€™ sensitive and private data. This journal will focus on the most common way hackers exploit data from databases through SQL injection, and it presents dynamic and static code testing to find and prevent these SQL cyber attacks by comparing two testing tools. It will also present a comparative analysis and static/dynamic code testing of two SQL injection detection tools. Burp Suite and Vega will be used to identify possible flaws in test cases dealing with usersâ€™ sensitive and private information. Currently, there are no comparisons of these two open-source tools to quantify the number of flaws these two tools are able to detect. Also, there are no detailed papers found fully testing the open-source Burp Suite and Vega for SQL Injection. These two open-source tools are commonly used but have not been tested enough. A static analyzer detecting SQL Injection will be used to test and compare the results of the dynamic analyzer. In addition, this paper will suggest techniques and methods to ensure the security of sensitive data from SQL injection. The prevention of SQL injection is imperative and it is crucial to secure the sensitive data from potential hackers who want to exploit it.
DESIGN OF WEBSITE-BASED INFORMATION SYSTEM FOR EDOCUMENT ADMINISTRASI IN THE COMMUNITY SERVICE UNIT (A Case Study at Rajabasa District)
Authors: Febriani Ochi Marshella , Wahyuni Tri , Yusuf Suhendro
Published: May 2018

District office is one of the government agencies. This office certainly produces documents in every administrative process and policy. The document management provides a good solution for each document in order to be accessed and used by users. The improper document management causes difficulty to find the needed documents. Moreover, the document is very difficult to access because it is only kept by certain people for various reasons. Besides, the document is also public rights that should be accessed by many people. An Act number14 in 2008 on Public Information Disclosure indicates that the document is a certain entity to reduce a public dispute so that it is mandatory matter that must be done. Under this condition, it is expected that the document must be stored in the websitebased application to allow all parties to easily access the document stored.
AN IMPROVED RESOURCE ALLOCATION STRATEGY BASED ON PACKAGE LEVEL ACCESS IN CLOUD ENVIRONMENT
Authors: Kaur Rajveer , Ghumman Mr. Navtej Singh
Published: May 2018

Cloud computing is an emerging field of computer science, where heterogeneous services such as applications, servers and storage are delivered to an individual or organization's computer and devices through the Internet. In the proposed research work, a load balancing algorithm is designed, to provide proper utilization of all resources while processing the requests received from the users. We have implemented the â€˜packageâ€™ level access at the Virtual Machines. We have proposed three types of packages like basic, medium and premium according to the requirements of the Cloudlets. In the basic package, we have the Virtual Machines with low capacity and in the premium package we are having the Virtual Machines with higher capacity, whereas the medium is of intermediate capacity of MIPS and RAM. In the proposed approach, the capacity, status and current load of every Virtual Machine is computed before allocating the new request of the user. Different parameters like waiting time, execution time and turnaround time of the Cloudlets are computed and analyzed. The proposed research provides the anticipated results with the implementation of the proposed algorithm. Compared with the other job scheduling algorithms, the proposed load balancing algorithm can outperform them in circumstances where the load and Virtual Machines are heterogeneous.
A NOVEL APPROACH OF CLUSTERING FOR ENHANCED LIFETIME IN WIRELESS SENSOR NETWORK
Authors: Kaur Chamanpreet , Singh Vikramjit
Published: May 2018

Wireless sensor network has revolutionized the way computing and software services are delivered to the clients on demand. Our research work proposed a new method for cluster head selection having less computational complexity. It was also found that the modified approach has improved performance to that of the other clustering approaches. The cluster head election mechanism will include various parameters like maximum residual energy of a node, minimum separation distance and minimum distance to the mobile node. Each CH will create a TDMA schedule for the member nodes to transmit the data. Nodes will have various level of power for signal amplification. The three levels of power are used for amplifying the signal. As the member node will send only its own data to the cluster head, the power level of the member node is set to low. The cluster head will send the data of the whole cluster to the mobile node, therefore the power level of the cluster head is set to medium. High power level is used for mobile node which will send the data of the complete sector to the base station. Using low energy level for intra cluster transmissions (within the cluster) with respect to cluster head to mobile node transmission leads in saving much amount of energy. Moreover, multi-power levels also reduce the packet drop ratio, collisions and/ or interference for other signals. It was found that the proposed algorithm gives a much improved network lifetime as compared to existing work. Based on our model, multiple experiments have been conducted using different values of initial energy.
Descriptive statistical analysis based on patients EEG energy in coma and quasi-brain-death state
Authors: Miao Yao , Cao Jianting
Published: May 2018

In this paper, measure of descriptive statistical analysis based on EEG (electroencephalography)  energy was proposed to evaluate coma and quasi-brain-death patients EEG. Firstly, 36 cases of EEG (coma: 19; quasi-brain-death: 17) were analyzed. Specifically, 60s EEG data of each case were randomly selected and processed to get energy data by Dynamic 2T-EMD (turning tangent empirical mode decomposition), then energy data for 36 cases of EEG obtained were grouped and analyzed by using descriptive statistical analysis, and finally results were displayed by visual method. Results show significantly that energy for coma patients EEG is higher than that for quasi-brain-death patients EEG. And the EEG energy data set for quasi-brain-death is relatively more concentrate.
Chaos Baker-based Image Encryption in Operation Modes
Authors: Alzain Mohammed
Published: May 2018

This research paper study the application of chaos baker map for digital image encryption in different operation modes. The  employed modes include the  electronic  code  book (ECB), cipher block chaining (CBC), output feedback chaining (OFB), and cipher feedback chaining (CFB). The proposed method works by applying the chaos baker map in different operation modes for encrypting digital images. A group of  tests were carried out to examine the impact of operation modes on chaos baker-based encryption. This is done using several encryption metrics like visual inspection, statistical measures, entropy measure, encryption quality measures, and noise resistance measures. Simulation results demonstrated the effectively of baker-based encryption in CBC mode.
Improved Adaptive Huffman Compression Algorithm
Authors: Singh Satpreet , Singh Harmandeep
Published: May 2018

In information age, sending the data from one end to another endneed lot of space as well as time. Data compression is atechnique to compress the information source (e.g. a data file, aspeech signal, an image, or a video signal) in possible fewnumbers of bits. One of the major factors that influence the DataCompression technique is the procedure to encode the sourcedata and space required for encoded data. There are many datacompressions methods which are used for data compression andout of which Huffman is mostly used for same. Huffmanalgorithms have two ranges static as well as adaptive. StaticHuffman algorithm is a technique that encoded the data in twopasses. In first pass it requires to calculate the frequency of eachsymbol and in second pass it constructs the Huffman tree.Adaptive Huffman algorithm is expanded on Huffman algorithmthat constructs the Huffman tree but take more space than StaticHuffman algorithm. This paper introduces a new datacompression Algorithm which is based on Huffman coding. Thisalgorithm not only reduces the number of pass but also reducethe storage space in compare to adaptive Huffman algorithm andcomparable to static.