EAI Endorsed Transactions on Scalable Information Systems

Issue 16, 2018

Editor(s)-in-Chief: Hua Wang and Xiaohua Jia

Articles
Information

A Research Framework OF Oracle Universal Content Management (UCM) An Impact on Enterprises/Organizations:
Appears in:
sis 18(16): e1

Authors:
Faaz Malik Iqbal, Fozia Hanif Khan, Rabia Noor Enam, Shakeel Ahmed

Abstract:
Universal Content Management (UCM) also called web-center content gives a "bound together application for conveying record administration, web content administration, computerized resource administration, and maintenance administration. The suite of items offers an adaptable, hearty and versatile s…Universal Content Management (UCM) also called web-center content gives a "bound together application for conveying record administration, web content administration, computerized resource administration, and maintenance administration. The suite of items offers an adaptable, hearty and versatile substance administration arrangement that permits representatives, clients and accomplices to work together contribute and access business content anyplace around the world. Oracle UCM helps organizations completely boost the estimation of their data and scholarly resources by bringing content, for example, contracts, showcasing materials, computerized resources, records and inventories, to the Web where it can be productively overseen". Oracle webCenter Content (UCM) gives a brought together vault and filing framework to house unstructured substance, empowering associations to convey it to business clients in the best possible configuration. “This study is going to provide an oracle based UCM that manages all your unstructured content, from documents to video files, in one place and leverages all the advanced capabilities of the Oracle web-center Content platform including document archiving and document management. The utility of our aim is to provide UCM platform can grow with any organization and make it easy to manage billions of content items and support hundreds of thousands of users”.
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An Ontology based Approach for Messages Dissemination in Vehicular Ad Hoc Networks
Appears in:
sis 18(16): e2

Authors:
Asma Bibi, Osama Rehman, Sohaib Ahmed

Abstract:
Vehicular Ad-hoc NETworks (VANETs) is a special form of Mobile Ad-hoc NETworks (MANETs). The continuous developments in wireless networks have paved the way for the adoption of wireless data exchange for onroad vehicles. The application of VANETs is considered as a key component within the envision…Vehicular Ad-hoc NETworks (VANETs) is a special form of Mobile Ad-hoc NETworks (MANETs). The continuous developments in wireless networks have paved the way for the adoption of wireless data exchange for onroad vehicles. The application of VANETs is considered as a key component within the envisioned Intelligent Transportation Systems (ITS). One of the primary applications of VANETs is to enhance the safety measures for the vehicles on-road. Information about vehicles, such as vehicle speed and location coordinates are passed among vehicles to improve their awareness of each other. In VANETs, vehicles are referred to as nodes within a network where each node can act as both; end devise and router. The current design of VANETs has been identified with several drawbacks, while obtaining high performance in multi-hop message dissemination being as one of the most prominent issues. This problem need a solution to improve VANET's performance, especially over networks with high node densities. In this paper, we propose an ontologybased approach for multi-hop message dissemination over VANETs as a solution that would address the above highlighted issue.
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Big Data and Named Entity Recognition Approaches for Urdu Language
Appears in:
sis 18(16): e3

Authors:
Qudsia Jamil , Muhammad Rehman Zafar

Abstract:
Nowadays data is stored in digital form and Terabyte of data is generated on daily basis. It is diﬃcult task to extract useful information from Big data eﬃciently. From unstructured text Information extraction is a technique which used to extract information. Named Entity Recognition (NER) is an es…Nowadays data is stored in digital form and Terabyte of data is generated on daily basis. It is diﬃcult task to extract useful information from Big data eﬃciently. From unstructured text Information extraction is a technique which used to extract information. Named Entity Recognition (NER) is an essential component of information extraction in the ﬁeld of Natural Language Processing (NLP). Further, Urdu language has various challenges to NER due to its agglutinative, inﬂectional nature and rich morphology. Therefore, NER systems for Urdu language are not mature yet due to lack of resources and ambiguities. This paper speciﬁcally addresses the diﬀerent approaches to NER and explore the existing work for NER in Urdu language.
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Congestion Control Reliability and Adaptive Cooperation for Efficient Underwater Sensor Networks
Appears in:
sis 18(16): e4

Authors:
Junaid Ahmed Inam, Sheeraz Ahmed , Najeeb Ullah, Ali Raza, Ata-ur Rehman, Asghar Khattak, Saqib S hahid Rahim

Abstract:
Underwater wireless sensor networks (UWSNs) are intended to be positioned at the areas that need to be supervised constantly deprived of the human interaction. Consequently, these networks are likely to stay active for a longer duration. Though, sensor nodes in UWSNs are equipped with finite energy…Underwater wireless sensor networks (UWSNs) are intended to be positioned at the areas that need to be supervised constantly deprived of the human interaction. Consequently, these networks are likely to stay active for a longer duration. Though, sensor nodes in UWSNs are equipped with finite energy resources. Furthermore, congestion is one of the biggest challenges in UWSNs because it leads to data packet loss and ultimately shorten network lifetime. In this paper, a congestion control model in UWSNs with congestion control is considered. A routing protocol is purposed which will be a modification of current UWSNs protocols such as RACE and ARCUN by presenting their attributes with congestion control mechanism. We will deliver some comparisons between the proposed scheme and the existing schemes and prove that this new scheme with congestion control has better performance than the existing ones.
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Features Analysis of Online Shopping System Using WCM
Appears in:
sis 18(16): e5

Authors:
Maria Erum, Muhammad Waqas, Sidra Arshad, Tahir Nawaz

Abstract:
Data mining techniques being used for web information extraction are unbelievable systems and suggested for the protection of extremely susceptible data. By the web sources huge amount of data is maintained and can be easily retrieved by using the web mining techniques as the techniques are applied…Data mining techniques being used for web information extraction are unbelievable systems and suggested for the protection of extremely susceptible data. By the web sources huge amount of data is maintained and can be easily retrieved by using the web mining techniques as the techniques are applied exactly based on the needs of the users. ECommerce and online shopping noticed a huge growth in business industry. This facility has been mostly employed in western countries during the last two decades. In east online shopping is increasing as most of the business is running through web site as well as in west. This business can be boost by feature analysis of different successful running online web stores. This study is going to present analysis of different features of successful online business website and of those which are not that much popular and accessed infrequently, their features will be extracted and compared to get the reasons of popularity of frequently accessed online shopping websites and after that recommendations will be made to increase the traffic of unpopular online shopping websites to dominate online business in Pakistan. According to the presented work it has been concluded that unpopular websites lack some features that are included in popular websites such as brands, as people are more conscious about brands and labels so they visit and shop from the websites which offer them best quality famous brands, moreover it has been observed that unpopular websites have less categories they must broaden their variety of products especially related to sports, fitness, bathroom accessories, technology and cosmetics. Apart from these another interesting fact that has been found is that popular websites mostly attract their customers by giving them offers such as buy one get one free, free home delivery and free gifts, such offers are always attracting new and more customers. Unpopular websites can improve their business by including the features discussed above. The results of research on this dataset also show that the Naïve bayes is better than j48 in terms of efficiency and accuracy respectively.
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Input Based Multiple Destination, Multiple Lines Following Robot with Obstacle Bypassing
Appears in:
sis 18(16): e6

Authors:
Mudassir Javed, Sohail Hamid, Muhammad Talha, Zubair Ahmad, Fazle Wahab, Hazrat Ali

Abstract:
This paper presents a multiple destination, multiple lines following robot which takes input from user and then selects the defined colored line on the basis of given input and follows it until it reaches its destination. Each destination is defined with a specific colored line. The robot is intell…This paper presents a multiple destination, multiple lines following robot which takes input from user and then selects the defined colored line on the basis of given input and follows it until it reaches its destination. Each destination is defined with a specific colored line. The robot is intelligent enough to avoid collision with obstacles blocking its path, and to bypass the obstacle and then continue following its path. The robot has the ability to return to its initial position once the destination is achieved, thus completing a round trip successfully and getting ready to be employed again. The robot is able to turn across sharp turns as it follows the edge of the colored line and not the line itself. The robot is economical as least number of sensors are employed in the robot.
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Intelligent Virtual Security System using Attention Mechanism
Appears in:
sis 18(16): e7

Authors:
Wasim Ahmad Khan, Hafiz Usman Akmal, Ahmad Ullah, Aqdas Malik, Sagheer Abbas , Abdullah Ahmad, Abdullah Farooq

Abstract:
Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations. The current security system lacks efficiency which influences organizations’ security parameters negatively. While dealing with a violen…Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations. The current security system lacks efficiency which influences organizations’ security parameters negatively. While dealing with a violent or terroristic activity human guards may not be able to response effectively under pressure, due to some limitation or lack of continuous attention. In present conditions where guards are not active enough to generate a quick response against threat, human eagerly need to design an effective virtual security system which would be responsible to analyze collective measures, process, and procedure that ensure protections of virtualization environment. In order to increase efficiency of security, eliminate security holes and to obtain quick response towards suspicious activities, there is need to replace humansecurity-guard with a virtual-security-guard system. This virtual guard will be an embedded machine, which will act like a complete security guard that will work under ‘Human Based Psychology’. This system would be reflection of an ideal virtual security guard which will generate intelligent and quick response towards abnormal activities by making intelligent decisions based on selective attention mechanism. The proposed system can be efficient enough to focus both functional and non-functional requirements (resistibility in smoke, fog, rain, dark and dust).
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LI-FI Become IOE: A Novel Architecture for LED
Appears in:
sis 18(16): e8

Authors:
Umar Draz, Tariq Ali, Sana Yasin, Ahmad Shaf, Ayesha Shakoor, Umair Waqas

Abstract:
Abstract. Nowadays LI-FI attracts the intention of the whole world. With in no time, the idea of LI-FI spread in the ﬁeld of wireless communication technology. The working of LI-FI is purely based upon visible light communication in the form of LED. Due to VLC and LED LI-FI not only become an impor…Abstract. Nowadays LI-FI attracts the intention of the whole world. With in no time, the idea of LI-FI spread in the ﬁeld of wireless communication technology. The working of LI-FI is purely based upon visible light communication in the form of LED. Due to VLC and LED LI-FI not only become an important part of the internet of things (IOT) but also internet of everything (IOE). LI-FI deal with a large amount of data rate, which is in the range of several Mbs to Gbs. Diﬀerent parameters are aﬀected by the performance of data rate. The proper arrangement of LED play part and parcel role in this new technology so there needs to investigate the novel architecture and ﬂow control protocol in LI-FI system. The dimension of LED and the position of LED lead this technology towards high data rate. So, this paper presents the actual technique and novel architecture that tells us how to increase the data rate in front of diﬀerent parameters.
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Notational Modeling for Model Driven Cloud Computing using Unified Modeling Language
Appears in:
sis 18(16): e9

Authors:
Muhammad Faisal, Shoaib Nazir, Muhammad Babar

Abstract:
Cloud Computing and Model-Driven Engineering (MDE) are two of the most dominant paradigms nowadays. Models are considered as major parts in the MDE, and concentrates on the formation and then conversion of models to the implementation. Cloud Computing is also getting reputation as the standard appr…Cloud Computing and Model-Driven Engineering (MDE) are two of the most dominant paradigms nowadays. Models are considered as major parts in the MDE, and concentrates on the formation and then conversion of models to the implementation. Cloud Computing is also getting reputation as the standard approach for designing and organizing software applications over the internet, especially for distributed and e-commerce applications. In recent times, Cloud Computing has become known as a latest opportunity that how software and other resources can be provided to the consumers as a service. The cloud aspects need to be well engineered for the software engineering methodologies particularly modeling the cloud aspects to provide logical tested solution prior to implementation. On the other side, general-purpose language UML, provides modeling and designing notions to symbolize software, platforms and architectural artifacts from diverse viewpoints of object-oriented paradigm. UML can also be extended to model and visualize the non objectoriented systems. Lately, few cloud modeling methodologies have emerged, however, useful support for designing cloud application is still missing. As a result, we propose UML-based framework using UML extension mechanism for modeling cloud computing paradigm aspects.
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Participants Ranking Algorithm for Crowdsensing in Mobile Communication
Appears in:
sis 18(16): e10

Authors:
Tariq Ali, Javeria Noureen, Umar Draz, Ahmad Shaf, Sana Yasin, Muhammad Ayaz

Abstract:
As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are ﬂooding the internet with data that are everywhere and in any form. Crowd sensing is a new sensing …As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are ﬂooding the internet with data that are everywhere and in any form. Crowd sensing is a new sensing model which depends on the strength of mobile devices. One of the key challenges in mobile crowd sensing system is multiple selections of participants with low priority to perform tasks. This research work presents the concept of Crowd sensing along with the raking process of participants from a large user pool. This article provides the eﬃcient raking process of participants to assign the priorities for performing tasks in smooth manner.
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Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment
Appears in:
sis 18(16): e11

Authors:
Faizan Ullah, Sabir Shah, Dilawar Shah, Abdul Salam, Shujaat Ali

Abstract:
One of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in di…One of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in distinguishing identities. Face recognition across pose, on the other hand, has great potentials in many applications dealing with uncooperative subjects, in which the full power of face recognition being a passive biometric technique can be implemented and utilized. Extensive efforts have been put into the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed. However, several issues in face recognition across pose still remain open, such as lack of understanding about subspaces of pose variant images, problem intractability in 3D face modelling, complex face surface reflection mechanism, etc. This paper provides a critical survey of researches on image-based face recognition across pose. The existing techniques are comprehensively reviewed and discussed. They are classified into different categories according to their methodologies in handling pose variations. Their strategies, advantages/disadvantages and performances are elaborated. By generalizing different tactics in handling pose variations and evaluating their performances, several promising.
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Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams
Appears in:
sis 18(16): e12

Authors:
Momina Moetesum, Syed Waqar Younus, Muhammad Ali Warsi , Imran Siddiqi

Abstract:
This paper presents an eﬀective technique for segmentation and recognition of electronic components from hand-drawn circuit diagrams. Segmentation is carried out by using a series of morphological operations on the binarized images of circuits and discriminating between three categories of componen…This paper presents an eﬀective technique for segmentation and recognition of electronic components from hand-drawn circuit diagrams. Segmentation is carried out by using a series of morphological operations on the binarized images of circuits and discriminating between three categories of components (closed shape, components with connected lines, disconnected components). Each segmented component is characterized by computing the Histogram of Oriented Gradients (HOG) descriptor while classiﬁcation is carried out using Support Vector Machine (SVM). The system is evaluated on 100 hand-drawn circuit diagrams with a total of 350 components. A segmentation accuracy of 87.7% while a classiﬁcation rate of 92% is realized demonstrating the eﬀectiveness of the proposed technique.
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Using Co-occurrence and Granulometry Features for Content Based Image Retrieval
Appears in:
sis 18(16): e13

Authors:
Lal Said , Khurram Khurshid , Asia Aman

Abstract:
This communication presents a novel system for Content Based Image Retrieval (CBIR) using Granulometry and Color Co-occurrence Features (CCF). These features are extracted directly from images using visual codebook. Relative distance measures are used to identify the similarity between the stored i…This communication presents a novel system for Content Based Image Retrieval (CBIR) using Granulometry and Color Co-occurrence Features (CCF). These features are extracted directly from images using visual codebook. Relative distance measures are used to identify the similarity between the stored images and the query image. Results show that proposed method of using Granulometry and CCF is superior to most state of the art CBIR systems. The proposed system is tested on Wang image database that contains 1000 images having different categories. The performance of the system, quantified using the Average Precision Rate (APR), is very encouraging.
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Knowledge Extraction Using Web Usage Mining
Appears in:
sis 18(16): e14

Authors:
Muhammad Waqas, Maria Iram, Sara Shahzad, Sidra Arshad, Tahir Nawaz

Abstract:
Web log files are the greatest source of knowledge now days, which keeps all the information about users interaction to web. This interaction provides us the usage patterns of the user by using web usage mining. These files contain all the information about visitors of the web which is used as inpu…Web log files are the greatest source of knowledge now days, which keeps all the information about users interaction to web. This interaction provides us the usage patterns of the user by using web usage mining. These files contain all the information about visitors of the web which is used as input for analysis. These files are converted to required formats after completing the preprocessing so Web Usage Mining (WUM) techniques can apply on these logs. Web usage mining gives us the details of user patterns. In this study we are going discover different behaviors patterns from the web proxy server log file of an educational organization with web usage mining technique. Results are based on the interest of users towards educational websites.
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Scope

Special Issue of selected papers from conference Future 5V.

As the data volumes continue to increase and the ways of information dispersion across the globe continue to diversify, new scalable methods and structures are needed for efficiently processing those distributed and autonomous data. Grid computing, P2P technology, distributed information retrieval technology and networking technology all must be merged to address the scalability concern.

Topics

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile…

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile and wireless database systems
Large scale sensor network systems
Index compression methods
Architectures for scalability
Scalable information system applications
Evaluation metrics for scalability
Information security

Web of Science Core Collection
Ei Compendex
DOAJ
CrossRef
[EBSCO Discovery Service](https://www.ebsco.com/products/ebsco-disco…

Special Issues

Call for Papers: Special issue on: Real-time image information processing with deep neural networks and data mining technologies (Manuscript submission deadline: 2022-02-28; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-…

Guest Editor: Dr. Prof. Hang Li (Northeastern University, China) Guest Editor: Dr. Prof. Jochen Schiewe (HafenCity Universität Hamburg, Germany)

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Chang Choi (Chosun University)
Cho-Li Wang (University of Hong Kong)
Daniel S. Katz (Un…

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Chang Choi (Chosun University)
Cho-Li Wang (University of Hong Kong)
Daniel S. Katz (University of Chicago)
Fabrizio Silvestri (ISTI – CNR, Italy)
Hamed Taherdoost (University Canada West, Canada)
Heng Tao Shen (University of Queensland)
Houbing Song (University of Maryland Balitmore, USA)
José Manuel Machado (University of Minho, Portugal)
Jose Merseguer (Universidad de Zaragoza)
Jie Li (University of Tsukuba)
Lin Yun (Harbin Engineering University)
Phan Cong Vinh (Nguyen Tat Thanh University)
Raj Gururajan (University of Southern Queensland)
Sherman Chow (Chinese University of Hong Kong)
Silva Fábio (University of Minho, Portugal)
Steve Beitzel (Telcordia)
Tzung-Pei Hong (National University of Kaohsiung, Kaohsing City, Taiwan)
Wang-Chien Lee (The Pennsylvania State University)
Weili Wu (The University of Texas at Dallas)
Xueyan Tang (Nanyang Technological University)
Vijayakumar Ponnusamy (SRM University, India)
J Amudhavel (KL University, India)
Yingshu Li (Georgia State University)
Karolj Skala (Ruđer Bošković Institute, Croatia)
Xiao-Zhi Gao (University of Eastern Finland, Finland)
Thaier Hayajneh (Fordham University, USA)
Chin-Ling Chen (Chaoyang University of Technology, Taiwan)
Nuno M. Garcia (Faculty of Sciences, University of Lisbon, Portugal)
Arianna D'Ulizia (Consiglio Nazionale delle Ricerche (CNR), Italy)
Robertas Damaševičius (Kaunas University of Technology (KTU), Lithuania)
Hiep Xuan Huynh (Can Tho University, VietNam)
Ji Zhang (University of Southern Queensland, Australia)
Xiaohui Tao (University of Southern Queensland, Australia)
Ye Wang (National University of Defense Technology, China)
Nageswara Rao Moparthi (KL University, India)
Xiaoming Fu (Georg-August-University of Goettingen, Germany)
Zhisheng Huang (Vrije University of Amsterdam)
Rose Quan (Northumbria University, UK)
Shi Dong (Zhoukou Normal University, China)
Limei Peng (Kyungpook National University, South Korea)
Hui Ma( Victoria University of Wellington, New Zealand)
Venkatesan Subramanian (Indian Institute of Information Technology – Allahabad, India)
Pon Harshavardhanan (VIT Bhopal University, India)
Manish Kumar (The Indian Institute of Information Technology, Allahabad, India)
Muzammil Hussain, University of Management and Technology, Lahore, Pakistan
Michael Bewong, Charles Sturt University, Australia
Shabir Ahmad, Gachon University, Korea
Vu Nguyen, University of Science, Vietnam
Xiaodi Huang, Charles Sturt University, Australia
Jianming Yong, University of Southern Queensland, Australia
Yogeshwar Vijayakumar Navandar; National Institute of Technology, India
Zhengyi Chai, Tiangong University in China, China
Chuanlong Wang, Taiyuan Normal University, China
Chin-Feng Lee, Chaoyang University of Technology, Taiwan
Hsing-Chung Chen (Jack Chen), Asia University, Taiwan
Wen-Yang Lin, National University of Kaohsiung, Taiwan
Chun-Hao Chen, National Kaohsiung University of Science and Technology, Taiwan
Mudasir Mohd, University of Kashmir, India
Md Rafiqul Islam, Australian Institute of Higher Education, Australia.
Jin Wang, Institute of Applied Physics and Computational Mathematics, China
Chandu Thota, University of Nicosia, Cyprus
Haris M. Khalid, University of Dubai, UAE.
G. Reza Nasiri, Alzahra University, Tehran, Iran.
Siuly Siuly, Victoria University, Australia
Bishnu Prasad Gautam, Kanazawa Gakuin University, Japan
Sivaparthipan C B, Bharathiar University, India
Ting-Chia Hsu, National Taiwan Normal University, Taiwan
Punitha Palanisamy, Tagore IET, India
Lakshmana Kumar R, Tagore IET, India
Weiwei Jiang, Beijing University of Posts and Telecommunications, Taiwan

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sis/index

Publisher: EAI
ISSN: 2032-9407
Volume: 5

Published: 2018-04-13

A Research Framework OF Oracle Universal Content Management (UCM) An Impact on Enterprises/Organizations:

An Ontology based Approach for Messages Dissemination in Vehicular Ad Hoc Networks

Big Data and Named Entity Recognition Approaches for Urdu Language

Congestion Control Reliability and Adaptive Cooperation for Efficient Underwater Sensor Networks

Features Analysis of Online Shopping System Using WCM

Input Based Multiple Destination, Multiple Lines Following Robot with Obstacle Bypassing

Intelligent Virtual Security System using Attention Mechanism

LI-FI Become IOE: A Novel Architecture for LED

Notational Modeling for Model Driven Cloud Computing using Unified Modeling Language

Participants Ranking Algorithm for Crowdsensing in Mobile Communication

Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment

Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams

Using Co-occurrence and Granulometry Features for Content Based Image Retrieval

Knowledge Extraction Using Web Usage Mining

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