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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
February 2017 | Vol. 95 No.3

Title:	MULTI CROSS PROTOCOL WITH HYBRID TOPOGRAPHY CONTROL FOR MANETS
Author:	PRANAVI.KOLAGANI, K.ADITYA, N.VENKATESH, Dr.K.V.D.KIRAN
Abstract:	Gadgets in Mobile Ad Hoc Circuitrys (MANETs) are for the most part fuelled by clump. Since the clump limit is settled, a few procedures to spare vitality at the gadget unfluctuating or at the convention stack ought to be connected to upgrade the MANETs endurance. In this theory, we have proposed a couple vitality sparing methodologies at the system lamina, and MAC lamina. To start with, we proposed a directing method, to which the accompanying measurements are incorporated with: (i) hub endurance, (ii) greatest point of confinement on the quantity of associations with a goal, and (iii) mercurial hauling power. In this procedure, we ruminate another outlay cadent which ruminates the remaining clump force and vitality utilization progression in processing the endurance of a hub. To miniaturize the overutilization of a hub, an upper obligated is determined to the quantity of associations that can be built up to a goal. The anticipated procedure is contrasted and AODV and LER [2]. It beats AODV and LER regarding system endurance. Next, a strategy called Multi Cross Lamina Placed Topography Control with Sleep Organizing (MCLBTC) is planned. It utilizes the element of both topography control accession in which the hauling force of a hub is diminished, and control administration accession in which hubs are put to rest contingency. We watched that the system endurance in MCLBTC is ruminatably improved.
Keywords:	Mobile Adhoc Networks, Medium Access Control, Topography Control, Utilization, Quality Of Associations
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	SUPER-PIXEL BASED SALIENCY IN 3D-IMAGE OBJECT DETECTION USING CONTENT BASED IMAGE RETRIEVAL
Author:	RAKESH Y, DR. K. SRI RAMA KRISHNA
Abstract:	Visual attention is an important factor in the Human Visual System (HVS) based method for the process of Information processing in visual media. Lots of visual information is provided by the HVS system, from which it would particularly process the wanted object or simply salient object by adding filtering techniques and also it lowers the level of complexity in the process of scene analysis. Content-based image retrieval is one of the major processes in visual processing technique. CBIR is used to identify the most similar images that are visually seen in response to the given set of query image from the huge contents of image database. Many techniques have been introduced so far in saliency detection of 3D images that are used by various multimedia and CBIR processing systems. In this paper, an efficient image retrieval algorithm is designed based on the Super-pixel based saliency detection. This aims at providing a successful method of saliency detection in 3D objects, which are the major process in CBIR applications. The Experimental results and verification of object tracking from this saliency detection method is visibly efficient than the all other methods as it provides super pixel generation in the objects and its contents.
Keywords:	Content Based Image Retrieval (CBIR), Human Visual System (HVS), Region of Interest (ROI), Simple Linear Iterative Clustering (SLIC).
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	BUILDING AN ASSISTANT MOBILE APPLICATION FOR TEACHING ARABIC PRONUNCIATION USING A NEW APPROACH FOR ARABIC SPEECH RECOGNITION
Author:	BASSEL ALKHATIB, MOUHAMAD KAWAS, AMMAR ALNAHHAS, RAMA BONDOK, REEM KANNOUS
Abstract:	The Arabic language is characterized by its vocal variations. Making its pronunciation a difficult task for Arabic learners. In this paper, we show how we built a mobile application that can detect mispronounced words and guide the user to the correct pronunciation. Foreigners and children can learn Arabic pronunciation in a friendly manner using our application. Our mobile application is customized to help them learn The Holy Quran recitation in particular. The process of the application compares the user sound (sound signal) of a single word with the set of correct recordings of this word pronunciation. This paper proposes the use of MFCC features to extract features from the speech signal. It also demonstrates the use of a modified version of DTW algorithm to compare the features of the user and the teacher.
Keywords:	Mispronunciation Identification System, Mel-Frequency Cepstrum Coefficients, Dynamic Time Warping, Speech recognition.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	HOW SIGNIFICANT IS THE INDIVIDUAL DIFFERENCES IN FINGER BASED GESTURES ON SMARTPHONES TOUCH-SCREEN FOR USER IDENTIFICATION?
Author:	SULEYMAN AL-SHOWARAH
Abstract:	This paper analyses the variations in the identification power among set of four features, namely Signature Precision (SP), Finger Pressure (FP), Movement Time (MT), and Speed that were extracted from finger gesture of touch-screens. The differences across users were studied using the above features individually and combined for the purpose of user identification based on the Euclidean distance and the k-nearest neighbour classifier. The paper investigates the performance variations across users using a dataset of 50 users, and concludes that the discrimination power of different feature is heavily user dependant i.e. while some features achieve 100% identification accuracy for some users, they perform poorly for others. On small smartphone 19% and on mini-tablet 42% of the users have unique FP compared to other features. We concluded that FP could be used alone to perfectly identify users for 100% accuracy.
Keywords:	User Identification, Security Of Touchscreen Patterns Based Unlock Systems, Smartphones.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	DESIGN MODEL INTEGRATION AND SYNCRONIZATION BETWEEN SURVEILLANCE UNITS TO SUPPORT DATA WAREHOUSE EPIDEMIOLOGY
Author:	SLAMET SUDARYANTO NURHENDRATNO., FIKRI BUDIMAN, SUDARYANTO
Abstract:	Data monitoring outbreaks of disease in a region and specific populations (epidemiology) requires the support of an integrated data from all related surveillance unit. The integration of data between surveillance units (health centers, polyclinics, hospitals) must be design and good properly managed so as to enable health leaders and analysts to acquire, integrate, analyze and monitor the data (cases of the disease) from different data sources. The source data comes from a heterogeneous system, in this case the data source is a distribution surveillance units. To facilitate the management of surveillance data will be in the design of the data center in the model epidemiological data warehouse so as to form an integrated surveillance system (ISS). The problem faced is related to interoperability, ie the ability to integrate and synchronize data from different systems platforms (heterogeneous). Thus we need a methodology of integrating data in XML model into the epidemiological data warehouse. Since XML becomes a standard for data exchange over internet, especially in the B2B and B2C communication is needed integration system with the model XML data into the data warehouse. In this study we describe the design of a model of integration and synchronization between surveillance unit in the method SOA-based web services architecture. Metode yang digunakan adalah XML Web Services, sebuah metode yang dapat mengintegrasikan aplikasi dan pertukaran data dalam format XML (Extensible Markup Language). Exchange data in XML format using the technology SOAP (Simple Object Access Protocol) and WSDL (Web Services Description Language) and using the library NuSOAP.
Keywords:	Epidemilogy, Data Warehouse, Integration, Synchronization, XML,SOA, WebServices.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	HYBRID ZIGBEE RFID FOR DETECTION OF ACTIVE TAGS AND ENERGY MINIMIZATION
Author:	S.BAGIRATHI, Dr.SHARMILA SANKAR, Dr.SANDHYA
Abstract:	Radio Frequency Identification (RFID) is the wireless use of electromagnetic fields to transfer data for the purpose of automatically identifying and tracking tags attached to objects. These tags contain electronically stored information and each tag has a unique identification number. RFID can support automatic information tracing and management during the identification process in many fields. Minimization of energy in RFID active tags plays a vital role in RFID management system. We propose a hybrid method for energy minimization using Zigbee integrated with RFID. The combination of RFID and ZigBee can be done with a very simple set up and it can manage all the data transmissions with very few bytes. Zigbee is used because it is a low power device and operates in beacon mode. Zigbee coordinator is responsible for managing and controlling the entire system. It transmits the data received by one reader to another thus eliminating redundant tag information from all the readers. Collision among tags is minimized thus increasing the throughput of the system.
Keywords:	RFID, Zigbee, coordinator, beacon, slotted aloha, collision.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	A SELF ADAPTIVE BASED CONTENTION WINDOW FOR ADVANCED INFRARED CSMA/CA MAC PROTOCOL FOR WIRELESS LANS
Author:	D.SRINIVAS, E.V PRASAD
Abstract:	Advanced Infrared (AIr) is a suggested framework for Infrared Data Association (IrDA) for interior infrared LANs. Advanced Infrared (AIr) is the standard MAC prototype for wireless infrared LANs and is capable to assist point to multiple point transaction although it is not precisely constructed for such prototypes. A back off approach is a methodology for the wireless system MAC layer protocol to resolve a collision whenever the network is shared with two or more nodes. Since for small networks, the throughput of the existing model degrades and propagation, transmission delay increases due to large contention window size with the augmented number of empty CAS that resulting in a significantly lower consumption than optimal. This paper provided a flexible and self-adaptive contention window back off methodology that greatly enhances the throughput by adjusting the optimum CW updating aspect rendering to the hypothetical study. This approach efficiently diminishes the number of collisions and enhances the network consumption. In AIr MAC CSMA/CA protocol, the simulation result showed that the novel back off approach efficiency is much improved compared to the existing Linear Adjusting CW back off approach.
Keywords:	Wireless LANS, Advanced Infrared, Infrared Data Association, Contention Window Size, Back-off Algorithm
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	CLOUD BASED SOFTWARE ENGINEERING LEARNING ENVIRONMENT: GUIDELINES TO HOST SOFTWARE ENGINEERING TOOLS ON THE CLOUD
Author:	MUHAMMAD EHSAN RANA, OMAR S. SALEH, OSMAN GHAZALI
Abstract:	Cloud computing is one of the latest trends in IT; its values have been proven effectively in various sectors. Education is one of these sectors. In the 21st century, the students can no longer be restricted to the traditional teaching methods, an example of which is the lecturer lecturing and the student listening in the classroom. However, this claim is still true for Software Engineering majors. This motivated the author to study the current status of Cloud computing in Education and how its values can be captured to enhance the learning environment of Software Engineering. This can happen through utilizing the value of Cloud computing to host the Software Engineering tools of the laboratory courses on the Cloud. Data collection took place to answer the questions and to achieve the aim which is to utilize Cloud computing for better Software Engineering learning environment. To achieve this, 325 software engineering students of three universities and other overseas friends whom are software engineering students were chosen to participate in the questionnaire. Six software engineering lecturers and three IT leaders of three universities were interviewed as well. The results obtained were that SE students are facing some difficulties related to the availability of labs and tools; software engineering lecturers are also facing the same problems. The students and the lecturers were happy to see the tools made available on the Cloud to be used anytime and anywhere without any constraints. The lecturers were ready to accept the changes to enhance the learning environment. The IT leaders thought that Cloud computing would aid the software engineering students, help the university to eliminate some of issues and enhance the students outcome, but there are no tools available yet on the Cloud for the students and lecturers in the universities that have been interviewed. Thus, guidelines to host tools on the Cloud were created. Three experts assessed the guidelines and they approved its effectiveness.
Keywords:	Cloud Computing, Software Engineering, Learning Environment, E-Technologies in Education, New Trends in Education
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	PROPOSED MABC-SDAIR ALGORITHM FOR SENSE-BASED DISTRIBUTED ARABIC INFORMATION RETRIEVAL
Author:	ALIA KARIM ABDUL HASSAN , MUSTAFA JASIM HADI
Abstract:	Information Retrieval (IR) is the field of computer science that deals with the storage, searching, and retrieving of the documents that satisfy the user need. Distributed Arabic Information Retrieval (DAIR) is a model enables a user to access many searchable Arabic documents reside in different locations. DAIR is more complex than the centralized Arabic IR (AIR) because it requires addressing two significant additional problems that are the resource selection and the results merging. The Arabic language is a rich in multiple meanings (senses) in a lot of words and the tasking to find the appropriate meaning is a key demand in most of the AIR applications. This paper aims to improve the efficiency of the DAIR systems through using an algorithm belong to the swarm intelligence called Artificial Bee Colony (ABC) algorithm and to improve the result quality through using the query expansion. The MABC-SDAIR algorithm is the search approach used in this work. It aims to search the most relevant documents while at the same time it searches the best synonyms for the query expansion process. The experimental results exhibit the performance superiority of the proposed system over the traditional DAIR system that has a non-expanded query.
Keywords:	Arabic Information Retrieval; Distributed Arabic Information Retrieval; Artificial Bee Colony; Query Expansion.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	SARIMA-EGARCH MODEL TO REDUCE HETEROSCEDASTICITY EFFECTS IN NETWORK TRAFFIC FORECASTING
Author:	INDRA HIDAYATULLOH, ISNA ALFI BUSTONI
Abstract:	Difference needs in bandwidth allocations have not been accommodated by static bandwidth allocations that leads to ineffective bandwidth use. There are several previous researches about bandwidth allocations which have been conducted, such as the use of Seasonal Autoregressive Integrated Moving Average (SARIMA) method. However, SARIMA method is not able to overcome various kinds of error problems or heteroscedasticity. Therefore, this research proposes the application of SARIMA-EGARCH (Exponential Generalized Autoregressive Conditional Heteroscedastic) method to generate the more accurate model that is able to overcome heteroscedasticity on the needs of bandwidth forecasting. In addition, this research compares the result of SARIMA to SARIMA-EGARCH examinations. It shows that SARIMA (1,0,1) (3,1,1)7 has 11,38% Mean Absolute Percentage Error (MAPE) and SARIMA-EGARCH (1,0,1)(3,1,1)7(1,1) has only 9,20%. The comparison shows that applying EGARCH increase the accuracy to 19,15%.
Keywords:	Forecasting, Bandwidth, Heteroscedasticity, SARIMA, EGARCH
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	RECENT APPROACHES ON NO- REFERENCE IMAGE QUALITY ASSESSMENT FOR CONTRAST DISTORTION IMAGES WITH MULTISCALE GEOMETRIC ANALYSIS TRANSFORMS: A SURVEY
Author:	ISMAIL T. AHMED, CHEN SOONG DER, BARAA TAREQ HAMMAD
Abstract:	The study of Image Quality Assessment (IQA) in digital image and video processing is challenging due to the existences of numerous types of distortions such as blur, noise, blocking, contrast change, etc. Nevertheless, it is interesting to devise a metric system in order to determine the quality of an image quantitatively. Currently, most of the existing No Reference(NR)-IQA metrics focus on the quality evaluation of distorted images due to compression, noise and blurring. The related work performed in the area of NR-IQA for Contrast Distortion Images (CDI) is quite limited unfortunately. Also, most of the existing NR-IQA metrics are designed in spatial domain and very little of them are devised based on Multiscale Geometric Analysis (MGA) Transforms. Therefore, in this paper, NR-IQA metrics are classified into two groups, i.e. NR-IQA Metrics for general purpose and NR-IQA Metrics for CDI. Due to the fact that our main focus is contrast distortion, NR IQA metrics have been overviewed in both spatial and transform domains. We classify the transform domain into traditional transform and MGA transform then focusing on MGA Transforms. Subsequently, the MGA transform which is suitable for the design of NR-IQA metric used to predict the quality of CDI is proposed. The presented survey will to keep up-to-date the researchers in the field of image quality assessment especially for CDI. Also, this survey provides an outlook for future work using many combinations among MGA Transforms to access to new IQA metric for CDI.
Keywords:	Image Quality Assessment (IQA), Contrast Distortion Images (CDI), No-Reference Image Quality Assessment Algorithm (NR-IQA), Multiscale Geometric Analysis (MGA) Transforms.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	INFORMATION SUPPORT OF UNMANNED AERIAL VEHICLES NAVIGATION USING PSEUDOLITES
Author:	YURIY YURIEVICH GROMOV, IGOR NIKOLAEVICH ISHCHUK, VALERY NIKOLAEVICH TYAPKIN, VLADIMIR VITALEVICH ALEKSEEV, VJACHESLAV MIKHAILOVICH TYUTYUNNIK
Abstract:	The paper focuses on developing mathematical tools for solving the problem of joint information processing of various sensors of UAVs using pseudolites. These tools are the basis of information support of complex navigation system. The authors found mathematical dependencies establishing an unambiguous link between the errors of the navigation output parameters and those of the navigation model, as well as equivalent errors in the measurement sensors for a given movement of the aircraft.
Keywords:	Complex Navigation System, Unmanned Aerial Vehicle, Pseudolite, Inertial Navigation System, Satellite Navigation System.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	MALICIOUS NODE DETECTION AND RECONSTRUCTION OF NETWORK IN SENSOR ACTOR NETWORK
Author:	KRISHNA CHOWDARY , K.V.V. SATYANARAYANA
Abstract:	The advancement of Technology growth has developed various types of private and public applications in WSN. By the introduction of Actor node in WSN, which has an operation battery sensor, high speed computing operations is added, data processing and various components of communications. WSAN should have the capability of detecting outage of node and also have the capability to change dynamically the route with variant efficiently for providing a reliable end point to end point communication between communication nodes in a dynamic topology change network. The proposed work should have the capability of identifying and detecting of malicious node and removal of it in WSAN. Our work is to design a framework for detection of malicious nodes in WSAN and elimination of Node in actor nodes by creating a topological structure dynamical by preparing a connectivity point of peer to peer and point to point communications. The possibility of the above is done by adding a command in actor node of WSAN for better efficiency and reliability in a network.
Keywords:	Malicious, Attacks, Packet, Actor, WSN
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	INTEGRATION OF DISTRIBUTED GENERATION TO UPQC WITH UNIT VECTOR THEORY
Author:	N. C. KOTAIAH, K. CHANDRA SEKHAR
Abstract:	Power system quality is very much important in present days due to increasing non-linearity in the system. Many compensating devices were developed to improve power quality in the power system. Unified power quality conditioner is one of the FACTS devices that can effectively improve power quality. This paper discusses the integration of distributed generation (DG) to Unified Power Quality Conditioner (UPQC). DG delivers power to system and also stabilizes the DC link capacitor in UPQC. Unit vector control strategy was used to control the UPQC. While transferring active power to the system, DG integration gives stability to power system. Results were given when DG was not integrated to the system and when DG was integrated to the system. Results were also shown if DG was integrated to the system with variable load condition. THDs were shown for source current and load current showing how effective the UPQC works for improving power quality.
Keywords:	UPQC, Power Quality, Distributed Generation, Integration, DC Link.
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	A UNIFIED SOCIAL MEDIA FRAMEWORK DESIGN AGINST FLOODS THREATS - THE CASE OF BOSNIA AND HERZEGOVINA
Author:	NASIM MATAR, SADI MATAR
Abstract:	The use of social media services are providing solutions and new opportunities for innovative use during flood crisis events. The different tools provided by social media have proved providing many benefits in relation to protection and rescue services for governmental and civil protection. Social media services provide broader prospects for all affected by the flood threats to engage in warning and informing in reaction to flood crisis events. The use of social media in different crisis events proved to be faster medium for spreading information and alerts among public in compare to traditional use of media. This paper presents the design of a unified social media framework that has been used for research purposes by governmental officials and the public in Bosnia and Herzegovina against flood threats that affected the country in recent years. The system design is unique as it was built with consideration for diversity and non-centralized governmental structure in Bosnia and Herzegovina.
Keywords:	Bosnia and Herzegovina, Crisis, Floods, Framework, Social Media
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	INFORMATION SUPPORT OF FINDING A SOLUTION THE PROBLEM OF HIDDEN OBJECTS
Author:	YURIY YURIEVICH GROMOV, IGOR NIKOLAEVICH ISHCHUK, VLADIMIR VITALEVICH ALEKSEEV, VALERIY EVGENEVICH DIDRIKH, VJACHESLAV MIKHAILOVICH TYUTYUNNIK
Abstract:	We developed a new approach to heat transfer processes, based on the formulation and solution of a new class of inverse heat conduction problems, which differs from previously known methods in the use of qualitative information. The authors propose an approach based on the relevant account of a priori information about the unknown quantities, which can be represented by the application of the theory of fuzzy sets, in particular, by the use of LR-type fuzzy numbers or fuzzy functions. The solution of the inverse heat conduction problem by infrared images obtained with the UAV allowed detecting objects by similar thermal parameters; image segmentation of thermal tomogram allowed identifying objects invisible on the original IR images.
Keywords:	Inverse Heat Conduction Problem; IR Image; Thermal Physical Parameters; Thermal Tomogram
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	DEVELOPMENT OF REMOTELY OPERATED BOMB DISPOSAL ROBOT EQUIPPED WITH OBJECT WEIGHT AND POSES ESTIMATIONS
Author:	RONNY MARDIYANTO, MUHAMMAD QOMARUZZAMAN, HERI SURYOATMOJO
Abstract:	The paper presents development of the prototype of remotely operated bomb disposal robot equipped with object weight and pose estimation. The main mission of the prototype of remotely operated bomb disposal robot is how to move the bomb to safe area. The key issue here is how the robot can safely evacuate the bomb with minimum risk. In order to avoid gripped object detached from the grip, the robot needs to know the objects weight and pose. In this paper, we also present methods for estimating object’s weight and pose. We estimate the objects weight by utilizing linear regressions and measuring currents flowing into servomotors. The increasing current flow that goes into servomotors are monitored to estimate the objects weight. We estimate the object’s pose by using several image processing steps such as color conversion from RGB to HSV, color filter, edge detection, and hough transform. The methods have been implemented in proposed system that consists of several processing units (Raspberry Pi 3, Arduino Mega, Arduino Uno), Brushless Electronic Speed Controller, Robot Arm, Video Sender, Analog Multiplexer, 3DR telemetry, Ardupilot Mega with GPS and compass, and SkyZone 3D Googles. We have tested the proposed system under laboratory condition. It succeeded to lift object up to 257.4 gram of weight. Such ability equal to lift small bomb like C-4 or small IED. The robots payload could still be possible to be developed while maintaining robots dimension. The maximum distance of the robot to be operated remotely is 236 meter. The robot also succeeded to follow the saved waypoints and passed the rock with maximum diameter of 12 cm. The robot can estimate the object weight with accuracy of 27.25% and object pose with average error of 92.3%. By implementing the proposed system under real condition, the risk during bomb evacuation process can be minimized.
Keywords:	Bomb Disposal Robot, Robot Arm, Object Weight estimation, Object Poses, Hough Transform, Linear Regression
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	IMAGE ORIENTATION BASED WATERMARKING TECHNIQUE IN COPYRIGHT PROTECTION
Author:	HEND MUSLIM JASIM, ZAITON MUDA, MOHD TAUFIK ABDULLAH
Abstract:	As a means of copyright protection, the use of watermarking has still not reached a significant level of reliability in applications to resolve infringement claims in the courts. This is because of two main obstacles. The first raises the need to consider original image quality as the main evidence over any other clues whereas the second denotes the lack of an adequate common measure that prove the superiority of one technique over another and then prevent improvement on efficiency and quality of algorithms. In seeking to address this problem, this research proposes a new image orientation watermarking technique based on the possession of the highest quality of the original image as the main evidence in copyright disputes and proposes a generic measure capable of scoring the performance of the different proposals. This design benefits Principal Component Analysis and Blind Noise Level Estimation to resemble a set of image transitions over resizing operations in response to owner signature. To deduce copyright, watermarked image besides its original coordinates are incorporated in copyright issues with the aid of two formulated parameters; Protection Requirement (PR) and Distance Decision (D) that are to serve as a protection requirement measure and a resolving parameter respectively. The design along its obtained results shows convincing validity results that are further explicated using ANOVA and linearity testing.
Keywords:	Digital Right Management Techniques, Image Copyright Protection, Watermarking Principal Component Analysis, ANOVA
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	OPTIMIZATION TECHNIQUE FOR PRIME NUMBER LABELING OF DIRECTED ACYCLIC GRAPHS
Author:	JINHYUN AHN, DONG-HYUK IM, TAEWHI LEE, HONG-GEE KIM
Abstract:	Directed Acyclic Graphs (DAGs) are widely used data structures. Labeling schemes have been proposed to accelerate reachability query processing over DAGs. Among such schemas, prime number labeling has attracted researchers because of its simplicity: a division operation is sufficient for answering reachability queries. However, the limitation of existing prime number labeling algorithms is that they generate huge label sizes. Minimizing the label size is an important issue because query-processing performance depends on it. In this paper, we propose techniques for generating prime number labels that are much smaller than those made by existing algorithms. In order to reduce the overall label size, some heuristics are suggested for sorting the vertices to which prime numbers are assigned. Experiments over real-world and synthetic DAG datasets show that the proposed approach produces smaller labels than existing approaches, and the labeling time is also reduced.
Keywords:	Directed Acyclic Graph, DAG, Prime Number Labeling, Label Assignment Order, Label Size
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	CESSATION OF OVERLOADED HOST BY INCREASE THE INTER-MIGRATION TIME IN CLOUD DATA CENTER
Author:	TAMILVIZHI.T, PARVATHA VARTHINI.B
Abstract:	The user in distributed environment using the datacenter in extreme manner which results in host overloading and lacking of energy efficiency in data centers. In this paper the computing nodes in the cloud datacenter are reduced by migration method. The idle use of virtual machine consumes extreme electricity and emits Carbon-di-oxide which results in harmful environment. To overcome the host overloading we introduce the Inter-Migration method which switch between both active and sleeping nodes in data centers. The proposed system overcome the time variation and system mismatch in reallocate VMs by switching of deactivates and reactivates computing nodes. The nodes in the data centres are spited by cloud broker. The cloud broker change the data center from cloud node if shortage occurs, it limits the application from activate node to sleeping node. It acts as an intermediate between the consumer and provider in VM environment. The consumer directly request for service. VM placement algorithms are introduced to execute the multiple nodes of data center in replication environment. While executing the VM placement algorithm continuous exchange of information between global and local manager required to manage the host overload.
Keywords:	Cloud Node, Data Center, Virtual Machine (VM), Migration, Cloud Broker
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	A HYBRID PARALLEL HASH MODEL BASED ON MULTI-CHAOTIC MAPS FOR MOBILE DATA SECURITY
Author:	B. MADHURAVANI, Dr. D.S.R MURTHY
Abstract:	Today, with the advancement of internet and technology security of information has become the prime concern in mobile and online applications. Extensive amount of research have been carried out since years to provide secure and reliable hash functions for information interchange. Chaos based hash functions have gained a lot of attraction by the researchers due to its non-linearity, randomness and unpredictable results. Various chaotic based hash functions have been implemented in the past decade to achieve confidentiality, integrity and authentication. But, most of the traditional chaos based hash functions are processed in sequential approach with a single dimensional map, which restricts their execution speed and performance in the mobile computing applications. To overcome these problems, a novel parallel chaotic hashing model is proposed in this paper. This model integrates multiple chaotic maps as a single chaotic system to generate an n-bit hash value for a given input message. This model provides more security, high computation speed, limit memory resources and less computation overhead in the standalone and mobile applications. Experimental results show that proposed model has high computational speed, bit variation and collision resistance as compared to traditional parallel chaotic models.
Keywords:	Parallel chaotic , Hash fucntion, Mobile computing, Integrity, Authentication
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	IDENTIFICATION OF MALARIA DISEASE AND ITS STADIUM BASED ON DIGITAL IMAGE PROCESSING
Author:	RIKA ROSNELLY, SRI HARTATI, EDI WINARKO, SRI MULATSIH
Abstract:	Malaria is one of the public health problems that could cause death, especially in infants, toddlers, pregnant women. Malaria is still a health problem not only in Indonesia but also in some countries in the world. Microscopic testing is the gold standard to malaria disease diagnosis. However, the level of accuracy depends on the level of microbiological expertise and experience. Microscope testing also time consuming and requires extensive equipment. This study built a texture of feature extraction and morphology model that can be used to identify the type of malaria parasites along with the stadium on the image of a thin blood smear. Samples are a number of preparations that have been given indications of malaria and have given a Giemsa staining. Image acquisition process is done by using a digital microscope with 1000 times of magnification. The process of segmentation used thresholding method of Otsu. Selection feature used sequential forward selection (SFS). Classification technique used artificial neural network of learning vector quantization (LVQ) with K-fold cross validation to identify patterns of types of parasites and their life stages in order to get different types and stages of malaria disease. The results used a combination of texture with morphological traits to get the values of accuracy.
Keywords:	Malaria Disease, Texture Of Feature Extraction And Morphology, SFS, LVQ, K-Fold Validation
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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Title:	HIGHLY NONLINEAR RIGID FLEXIBLE MANIPULATOR STATE ESTIMATION USING THE EXTENDED AND THE UNSCENTED KALMAN FILTERS
Author:	MOHAMMED BAKHTI, BADR BOUOULID IDRISSI
Abstract:	This paper focuses on the highly nonlinear rigid-flexible manipulator state estimation using the Extended Kalman Filter and the Unscented Kalman Filter. The Hamiltons principle is used to derive the manipulator equations, the Euler-Bernoulli assumption is considered to model the flexible link, and the elastic movement is approximated using the assumed modes method. The simulation study compares the efficiency of the state estimation quantified by the estimation mean squared error and the time required by the filters to converge.
Keywords:	Extended Kalman Filter, Rigid-Flexible Manipulator, Nonlinear Filtering, State Estimation, Unscented Kalman Filter
Source:	Journal of Theoretical and Applied Information Technology 15^th February 2017 -- Vol. 95. No. 3 -- 2017
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