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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
Jnauary 2016 | Vol. 83 No.2

Title:	A NOVEL FILTER BASED PARTITIONING DECISION TREE MODEL FOR REAL-TIME NETWORK SECURITY
Author:	SITA RAMA MURTY PILLA, R KIRAN KUMAR, M SAILAJA
Abstract:	Due to the exponential rise of the network attacks and increasing development of software tools and techniques for intrusion detection, the rule based intrusion detection system has become an essential solution for real-time anomaly detection. Basically, traditional data mining based intrusion detection methods generate a large set of predefined patterns most of them are high false rate and inaccurate. There is a need to optimize the real-time network attacks due to the variation in new attack type, instance set and attributes. To address the issue of high false rate and dynamic data integration, a new anomaly detection system using data mining model has been proposed to find the real time DOS/DDOS patterns by integrating network packets capturing from different systems on the network and kdd99 dataset. This system generates intrusion patterns by integrating the predefined attacks and new attacks as early as possible with low false rate. Experimental results show that proposed dynamic model optimizes the real-time true positive patterns with high accuracy compared to traditional models.
Keywords:	DDOS, Attribute Selection, Decision Tree, Intrusion Detection, Kddcup 99 Intrusion Dataset
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	EDWARD SNOWDEN DISCLOSURES TURN THE FEARS OF SURVEILLANCE INTO REALITY: THE IMPACT AND TRANSFORMATION IN INFORMATION SECURITY
Author:	FATIMETOU ZAHRA MOHAMED MAHMOUD, AKRAM M ZEKI
Abstract:	More than two years passed since the biggest event on information security and privacy which is the disclosure of very sensitive documents on the National Security Agency in United States. Those disclosures had a lot of resonance and impact in term of discussions between people who supported the act and others who consider it as crime and breach of trust. The fact, is that the impact was huge not only regarding information technology but it has been extended to economy and politics. This paper provide a holistic view and analyse of the current situation of information technology security and privacy especially with the lack and limited researches that have been done to study the transformation in information security strategies, policies and law after Edward Snowden disclosures and how those transformation had affect the technology, business and politics in various countries. This paper describes in detail and explain how the disclosures done by Edward Snowden has happen, What is the most dangerous programs used by NSA to violate people privacy, The reaction of different countries such as USA and Canada toward this revelations and the change and transformation in policies, strategies and law regarding information security and privacy. Furthermore, how this revelations gave affect the relationship and make it more complicated between China and USA. In addition, many countries focus in developing law to protect their citizens’ privacy and security from any foreign surveillance. Moreover, how this revelations has been a lessons to NSA to strengthen its inside protection, lessons to companies to not trust to any internet company to store their business data and how to improve their security systems.
Keywords:	Edward Snowden, NSA, Information security, PRISM, Business companies
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	HOW THE SMRTCARD MAKES THE CERTIFICATION VERIFICATION EASY
Author:	L.JAGAJEEVAN RAO, M.VENKATA RAO, T.VIJAYA SARADHI
Abstract:	The main idea of this paper is to create a paperless atmosphere without fraud using the well-used Smart card technology which can not only reduce the effort of maintaining the certificates but also used to create the technological innovation in the Educational field with the help of ongoing trend. In this paper, we first know about the basics of the Smart card and then we deploy those basics to implement our proposed system. To incorporate the existing system in to the proposed system we must follow some phases like Knowing requirements, design, analysis, and implementation. Introducing these Smart cards in to the Educational Field may avoid fraud and miscellaneous certificates. These pocket sized cards will be unique and authenticated for each individual, easy to carry and maintenance free.
Keywords:	Authentication, Smart card Technology, Application protocol data unit (APDU), Public Key Infrastructure (PKI), Certificate Management Protocol (CMP), unique Certificate Identification Number(UCIN)
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	PERFORMANCE EVALUTION OF ENERGY-EFFICIENT CLUSTERING ALGORITHMS IN WIRELESS SENSOR NETWORKS
Author:	AZIZ MAHBOUB, MOUNIR ARIOUA, EL MOKHTAR EN-NAIMI, IMAD EZ-ZAZI
Abstract:	One of the wireless sensor network issues that affect heavily the network’s lifetime is the energy limitation. Minimizing energy dissipation and maximizing network lifetime in wireless sensor networks are important challenges in the design of routing protocols for sensor networks. The reason why nowadays many works are interested in WSN’s energy management, taking into account the communications and the data routing algorithms. The clustering approach is one of the techniques used to minimize energy consumption and improve the system’s life duration. In this paper, we propose a study performance of LEACH, SEP and DEEC protocols through a solid comparison of key performance parameters of wireless sensor networks such as the instability and stability period, the network lifetime, the number of cluster heads per round and the number of alive nodes. We evaluate the technical capability of each protocol vis-à-vis the studied parameters.
Keywords:	Wireless Sensor Network; Energy-efficiency; Clustering protocols; LEACH; DEEC; SEP.
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	DATA INTEGRATION SYSTEM FOR RDF DATA SOURCES
Author:	YASSINE LAADIDI, MOHAMMED BAHAJ
Abstract:	Decision-making systems aim to transform the data stream circulating through the organization to relevant information and knowledge published in the form of dashboards and reports. The Semantic Web (SW) is full of data sources serialized in various formats and extensions (e.g. RDF, OWL, XML, etc) and they are created from scratch or by the transformation of other existing sources (e.g. relational database), and so it became one of the most major data sources that can be used to fulfill the analysis’ needs in a decision-making system. The OWL 2 ontology language as a W3C recommendation is built on the RDF data model and used to provide the means for defining and creating structured web ontologies. The purpose of this paper is to propose a new architectural system to perform a data integration process to populate an existing data warehouse using linked data (i.e. data from semantic web) as sources.
Keywords:	Data Integration, ETL, OWL, RDF, Semantic Web, Ontology, Decision-making System, Data Warehouse, Data Sources, Linked Data
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	ENERGY CONSUMPTION IN FAILURE OF BUSINESS PROCESS SERVICES
Author:	WARTIKA , HUSNI SASTRAMIHARDJA , KRIDANTO SURENDRO , IPING SUPRIANA S.
Abstract:	Business process is integral part of modern organization. Linkages and interaction between resources and business process can have significant effect on use of energy. Because policies of environmental regulations, then organization needs to know and evaluate the performance of services business process so that can minimize energy consumption. This service can cause failure. This failure can increase intensity of resources utilization. This paper is used design study case result, method of research are experiment and interview. By knowing the growth of energy consumption in failure business process service, organization can minimize impact on environment by doing recovery process on the failure
Keywords:	Service, Business Process, Failure, Energy, Consumption
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	MULTI STAGE PHISHING EMAIL CLASSIFICATION
Author:	AMMAR YAHYA DAEEF, R. BADLISHAH AHMAD, YASMIN YACOB, NAIMAH YAAKOB, KU NURUL FAZIRA KU AZIR
Abstract:	Phishing emails risk increases progressively, which pose a real threat to users of computers, organizations and lead to significant financial losses. Fighting zero day phishing emails using content based server side classifiers is considered as the best method to detect such attacks. This technique which is based on machine learning algorithms is trained by the set of phishing email features and the statistical classifier is used on stream of email to detect the class of fresh email received. The false positive rate (FPR) and false negative rate (FNR) are critical factors for these classifiers and should be as small as possible to increase the overall accuracy of the classifiers. Using the ham and phishing data sets available, this paper focuses on reduction of false positive rate (FPR), false negative rate (FNR), and increase the overall accuracy of the proposed classification system. The multi stage phishing email detection system (MSPEDS) shows very promising results compared with previous works in term of FPR, FNR, and accuracy.
Keywords:	Phishing, Emails, Email Features, Machine Learning, Classifiers
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	TOWARD A NEW TREATMENT APPROACH OF LEARNING CONTENT IN CLOUD ERA
Author:	B. FAQIHI , N. DAOUDI , R. AJHOUN
Abstract:	Nowadays, Technological development of human beings is extremely related to information. This is proved on the manners and areas that life was computerized such as in trade, government services, medicine, education, learning etc.Nevertheless, the fast development of designing information systems has created several sub-systems in multiple contexts which are conceived by different communities and totally dispersed geographically but all undertaking the same area. Neither contents nor services that these subsystems are made are certainly in the same technology environments. In our research, the learning field goes through many key steps. Actually, new revolutionized practices were implemented due to technology innovation, so transition from classical learning towards distance learning or d-learning is more than possible, it’s desired. Consequently, this phenomenon has created more opportunities for learners and teachers but also several challenges; in many cases, the multitude of standards hinders the learner migration from a learning environment to another, so it hampers its learning development.In this paper, we will propose a framework of interoperability based on three levels. Since we are interested in semantic level, we propose a process of interoperability of learning content in the cloud era based on a global ontology. Like recommendation systems, we will start our process by acquisition, then validation and finally structuration of the learning content. This structuration way will give to both actors of learning environment a certain flexibility and access to other resources in Cloud environment. The basic principle is to collect content, to enrich it and to make it interoperable by using unified approach in star based on a comprehensive ontology. Our work is a part of MADAR project which is Learning Architecture Adapted to Mobile Technology
Keywords:	Learning Content, Interoperability, Semantic Interoperability, Structuring, Ontology, MADAR Learning
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	RECONSTRUCTION OF THE HUMAN RETINAL BLOOD VESSELS BY FRACTAL INTERPOLATION
Author:	H. GUEDRI, J. MALEK, H. BELMABROUK
Abstract:	This paper presents the fractal interpolation method of the human retina image. In the first part, we focus on the segmentation image with Skeletonization and identify different types of pixels. Secondly, using Douglas-Peucker algorithm to reduce the number of pixels in the image we try to keep a form close to the original. then, we used fractal interpolation( IFS ) to decompress the encoded image .To evaluate the image quality of the methodology using the peak signal-to-noise (PSNR).The results obtained show that the method of Douglas-Peucker reduces the size of the image from 92 to 96 percent and the PSNR values of fractal interpolation are between 27 and 36.9 db. We conclude with fractal interpolation can have a better quality image.
Keywords:	Douglas-Peuker Algorithm, Fractal Interpolation, Retinal Blood Vessel Image
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	APPLICABILITY OF AN ADAPTIVE HANDOVER MECHANISMON PRACTICAL 4G NETWORKS
Author:	BHASKAR S, DR G A E SATISH KUMAR, DR P RAMANA REDDY
Abstract:	The fourth generation (4G) and beyond networks define the future of mobile communication. Handover management in 4G networks based on the IPv6 core is a problem that exists. The co-channel interference in wireless channels effect network and handover performance. In this paper the proposed Noise Resilient Reduced Registration Time Care-of Mobile IP protocol is modelled considering practical network conditions. A threshold based handover decision making algorithm is incorporated in the proposed protocol. The results presented in this paper clearly put forth the effects of the co-channel interference on handover management and network performance in the presence of multiple users. The comparative study prove that the proposed protocol is robust and minimizes network performance degradation considering practical conditions.
Keywords:	Mobile Internet Protocol, Ipv6, Handover Latency, Mobility Management, Received Signal Strength, Mobile Ipv6 (Mipv6), Co-Channel Interference, Handover Request Rate.
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	INVESTIGATION OF MONEY LAUNDERING METHODS THROUGH CRYPTOCURRENCY
Author:	DIANA MERGENOVNA SAT, GRIGORY OLEGOVICH KRYLOV, KIRILL EVGENYEVICH, BEZVERBNYI, ALEXANDER BORISOVICH KASATKIN, IVAN ALEKSANDROVICH KORNEV
Abstract:	The main issue of this work is to search of suspicious operations that were made with the use of cryptocurrency. The set tasks: creation of a database from received information; visualization of received results; analysis and conclusions of received results. The object of the research is money laundering and financing terrorism by means of cryptocurrency. Nowadays it is an actual term for research as for countries cryptocurrency is a new way of payments and each country decides differently how to deal with it. But new technologies provide us new possibilities in our live (especially in anonymous transactions as payments for goods and other purposes) and of course they can be used in illegal activity such as money laundering and financing of terrorism. Besides anonymity is one of the main features of cryptocurrency that helps to hide the source of income. This is the problem for countries because they have to combat such a threat as money laundering and financing of terrorism. So it is natural to find out ways of searching suspicious operations that can be directed to money laundering and financing of terrorism.
Keywords:	Bitcoin, Transaction, Bitcoin Address Of The Recipient (Addresser), Bitcoin Address Of The Sender (Receiver), Anti-Money Laundering, Combating Financing Of Terrorism, Financial Monitoring.
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	OPERATING SYSTEM INTEGRITY CHECK FRAMEWORK ALGORITHM FOR THREAT POSED BY ROOTKITS
Author:	DAVID MUGENDI, PROF. WAWERU MWANGI (PHD) DR. MICHAEL KIMWELE
Abstract:	Kernel mode rootkits, KMRs have indeed gained considerable success as far as blackhat society is concerned raising much alarm to systems and system defenders. The danger posed by these rootkits has to some extent led to call for universal attention on the means to handle and deal with them. Rootkits have by far become more complicated and stealthy making it difficult to even detect their presence in the system using their susceptible methods. Bearing in mind the danger at hand posed by these rootkits to operating system and at large other computer systems, getting crucial information from already compromised system proves to be an uphill task. This thesis focused in addressing this problem. It focused on various techniques such as intelligent algorithm using neural networks technology to enable integrity checking for kernel mode rootkits. The research conducted also has described to some extent operating systems e.g. Linux kernel and some of the areas which are a common target by kernel rootkits. Virtualization technology was also introduced to enable readers understand some of the critical concepts. A number of requirements to be satisfied while addressing this issue have been outlined. A framework to implement the model has been set up to show how integrity check was achieved at the end of research.
Keywords:	Artificial Neural Network (ANN), Loadable kernel module (LKM), common object file format (COFF), Kernel mode rootkits, (KMR), probability mass functions (PMFs)
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	PERFORMANCE MEASUREMENT OF PROJECT MANAGEMENT BY USING FANP BALANCED SCORECARD
Author:	HERMAWAN, AHMAD FAUZI, MOHAMMAD ANSHARI
Abstract:	The Project management (PM) is the implementation of knowledge, processes, tools, and techniques which is needed to manage business processes to create unique product or service. The PM has complexly business process, for monitoring performance of all PM activity be completely and align with business strategy is needed high effort. For this reason, we propose method to measure project performance by using Balanced ScoreCard (BSC) strategy, where keys performance source of BSC is produced by Project Integration Management (PIM). Where the PIM is one of the domains in PM to consolidate other domains activities, they are cost, time, procurement, communication, and also risk management. Inorder to compute Key Performance Indicator (KPI) in many perspective quadrants of BSC, we need computation method to measure priority and weighting value of PIM performance, on this study we use Fuzzy Analytical Network Processing (FANP) to measure qualitative and quantitave by comparing weighting priority between many KPI’s in BSC. Furthermore in testing phase, we use data from The SAP Rollout Project in PT. Semen Indonesia Tbk., where from the final result we acquired weighting priority in many perspectives of BSC quadrants to support decission support system for this project. From this study, we have significant contribution to determining strategy to assessment KPI’s in BSC perspectives from the PM based on The Project Management Body Of Knowledge (PMBOK), and method to implement FANP to measure weighting priority for this KPI’s by modify input methode from quantitative values to qualitative grades.
Keywords:	Project Management(PM), Project Integration Management(PIM), Balanced Scorecard(BSC), Fuzzy Analytic Network Process (FANP), Decission Support System (DSS)
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	DESIGN AND IMPLEMENTATION OF EMBEDDED THIN CLIENT FOR VNC
Author:	SAMAN FATAHPOUR
Abstract:	In this paper, a general method to design and implement a thin client for VNC (Virtual Network Computing) is presented. In order to connect the device to network and monitor, a 16-bit network interface called WIZ830MJ is applied. Moreover, a solution to design 24-bit graphic interface, using the SSD1963 chip and a DAC (Digital-to-Analog Converter) known as ADV7125, is introduced which provide users with a resolution up to 800X480 pixels. To enhance the efficiency of the device, the translator software is designed between VNC server and client which allows applying FastLZ compression Algorithm. By modifying the RFB (Remote Frame Buffer) protocol, the designed translator avoids some problems such as “TCP Window Full” and “TCP Retransmission” and reduces the network bandwidth consumption. The device has no need to fast processor and operating system. It has a good performance using an ARM Cortex-M4 processor with working frequency of 100 MHz. This issue is important because VNC software needs an operating system like LINUX, which itself requires a more robust processor and more consumed energy than an embedded device. At the end of the present paper, the designed device is tested in a laboratory and the results are presented.
Keywords:	Thin Client, Embedded Device, VNC, RFB Protocol, Virtual Network Computing
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	OPTICAL CHARACTER RECOGNITION TECHNIQUE ALGORITHMS
Author:	N. VENKATA RAO, DR. A.S.C.S.SASTRY, A.S.N.CHAKRAVARTHY, KALYANCHAKRAVARTHI P
Abstract:	In this paper, we present a new neural network (NN) based method for optical character recognition (OCR) as well as handwritten character recognition (HCR). Experimental results show that our proposed method achieves increased accuracy in optical character recognition as well as handwritten character recognition. We present through an overview of existing handwritten character recognition techniques. All the algorithms describes more or less on their own. Handwritten character recognition is a very popular and computationally expensive task; we describe advanced approaches for handwritten character recognition. In the present work, we would like to compare the most important once out of the variety of advanced existing techniques, and we will systematize the techniques by their characteristic considerations. It leads to the behaviour of the algorithms reaches to the expected similarities.
Keywords:	OCR, HCR, Neural Network. Recognition Technique
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	IMPROVING MULTILEVEL THRESHOLDING ALGORITHM USING ULTRAFUZZINESS OPTIMIZATION BASED ON TYPE-II GAUSSIAN FUZZY SETS
Author:	SHOFWATUL UYUN
Abstract:	Image thresholding is one of image processing techniques to help analyze the next phase. Consequently, choosing a precise method in this step is quite-essential. Image blurs and bad illumination are common constraints that often influence the effectiveness of the thresholding method. Fuzzy sets is one among other perceptions in scoring an image. Thus, various thresholding fuzzy techniques have been developed to eliminate those constraints. This paper proposes the improvement of multilevel thresholding techniques by using type II fuzzy sets with the function of gaussian membership to access some objects at mammogram to get fibroglandular tissue areas. The result shows that the proposed technique has a very good achievement with the average score with misclassification error parameter of 97.86%. This proves that the proposed algorithm are able to function well to the image with low contrast level and high unclearness level.
Keywords:	Multilevel Thresholding, Ultrafuzziness, Fuzzy Sets, Type II, Gaussian
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	CONCEPTUAL SIMILARITY MEASURE
Author:	LABRIJI AMINE, ABDELBAKI ISSAM, REDDAHI NABIL, ABDELOUHED NAMIR, ABOUDOU ABDERRAOUF
Abstract:	The similarity is a problem that has been the subject of several research projects, particularly in the field of semantic information retrieval; this latter is based on ontologies for modeling knowledge, a similarity measure of ontology concepts is thus necessary in the main phases of information retrieval (Indexing, weighting, research, …). We present through this article a similarity computing approach to arc based ontology of concepts. We assessed the similarity values obtained with those of the most used approaches, namely "The measure of Wu and Palmer" and "The measure of Rada and al". It shows that our measure is beneficial and provides a solution to the limits of existing approaches.
Keywords:	Ontologies, Semantic Web, Arcs Distances, Similarity Measure, Information Retrieval.
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	DENIAL OF SERVICE LOG ANALYSIS USING DENSITY K-MEANS METHOD
Author:	ARDYMULYA ISWARDANI, IMAM RIADI
Abstract:	Denial of service attacks launched by flooding the data on the ftp server causes the server to be unable to handle requests from legitimate users, one of the techniques in detecting these attacks is by monitoring, but found several problems including the difficulty in distinguishing the attack and with normal data traffic. So that the necessary field studies of triage forensics to get a vital information at the scene that is useful in supporting the overall digital forensics investigation. Triage forensics begins with the log databases which are then performed by using the grouping density k-means algorithm to produce three levels of danger (low, medium and high). Proposed density k-means algorithm using three groups that represent the level of danger. The minimum value, medium, and maximum of the dataset as early centroid, the data which has minimum distance to the centroid value specified will join to form a cluster centroid. Data that has been joined in a cluster and then evaluated the level of density (density) with its center (centroid) using Davies-Bouldin index. Results of clustering that has been done in the dataset resulted in three clusters, but the level of danger which successfully identified only two, namely the level of danger of medium and high, the value of DBI obtained 0.082, indicates that the data used manifold homogeneous, results DBI obtained is also influenced by the selection of the value of the centroid beginning clustering process.
Keywords:	Clustering, Triage Forensic, Log, Analysis, Density K-Means
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	DYNAMIC PARTIAL PATH-LOSS COMPENSATION-BASED POWER CONTROL TECHNIQUE IN LTE-A FEMTOCELL NETWORKS
Author:	SAWSAN ALI SAAD, MAHAMOD ISMAIL, ROSDIADEE NORDIN
Abstract:	With the femtocells being overlaid onto the macrocell in two-tier architecture, that comprises a mixture of both planned and arbitrary deployed nodes. This increases the data rate for indoor environment and fulfils the dream of high speed wireless and mobile broadband services. However, this potential for significant data rate growth could severely be diminished by cross and co-tier interference problem especially in a dense femtocell deployment scenario. In this paper, a dynamic power control scheme is proposed to mitigate the downlink interference in order to reduce the outage probability of macro user equipment (MUE), while maintaining good QoS for the home user equipment (HUE). The femtocell adjusts the transmit power, which subject to HUE measurements. The minimum level of transmit power is constrained to the target Signal to Interference and Noise Ratio (SINR) of the HUE that satisfy the required Quality of Service (QoS) of the HUE. The system level simulations confirm that, the proposed power control scheme reduces the outage probability of the nearby MUEs up to 23%, compared to fixed power setting, while maintaining the spectral efficiency of the HUEs. Furthermore, the transmit power can be reduced by 50%, which leads to effective power solution for the interference scenario.
Keywords:	Co/Cross-Tier Interference, Femtocells, Macrocells, Power Control, Heterogeneous Network.
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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Title:	HETEROGENEOUS CROWD-SOURCING AND DATA FUSION MODEL FOR DISASTER MANAGEMENT SERVICES
Author:	GAURAV TRIPATHI, DHANANJAY SINGH
Abstract:	In the present study of heterogeneous crowd sourcing is a novel field which shall bring marked improvement in the field of decision support system. At this point of time, the world is evolving technologically and thus we have started emphasizing on human brains as a specific physical sensors as far sensing capabilities are concerned. There are many human beings who are actually Subject Matters Experts (SME). We need to tap this potential of human brain and make them as sensors for our decision support system. Thus transforming the humans in to sensors is a new concept of getting data attributes which shall help in decision support system. With humans evolving and being utilized as a sensor the concept of crowd sourcing has evolved and the focus has now been shifted to new paradigm of crowd sensing (C-SENSE) of events along with the traditional sensors. This paper presents a conceptual communication mechanism for heterogeneous crowd sourcing which is fusion a of hierarchical-IMS (ID-mapping server) and data fusion model to support hand-in-hand for disaster management’s services.
Keywords:	Crowd sourcing, Data Fusion, Heterogeneous sensors, ID-Mapping Server
Source:	Journal of Theoretical and Applied Information Technology 20^th January 2016 -- Vol. 83. No. 2 -- 2015
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