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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
May 2017 | Vol. 95 No.10

Title:	A RISK MITIGATION DECISION FRAMEWORK FOR INFORMATION TECHNOLOGY ORGANIZATIONS
Author:	NORAINI CHE PA, BOKOLO ANTHONY JNR., YUSMADI YAH JUSOH, ROZI NOR HAIZAN NOR, TEH NORANIS MOHD ARIS
Abstract:	Information technology (IT) organizations are faced with various risks such as strategic, operational and technical risks. These risks should be identified, measured and mitigated. Risk mitigation gives an opportunity to IT practitioners and management to compute risks and develop suitable strategies to treat the risk. Risk mitigation in organizations provides a disciplinary environment for decision making to measure and treat potential risk continuously. Existing model and frameworks provides inadequate support to practitioners in making risk decision pertaining risk mitigation. This is due to the fact that existing models or frameworks lacks the capabilities to support practitioners. In order to address this challenge, this research identifies the processes and components of risk mitigation in organization’s and proposes a framework of risk decision for mitigating both technical and operational risk using software agents and knowledge mapping as techniques. Qualitative research was adopted using interview to collect data. A pilot study was carried out to validate the instrument. The case study was later carried out to verify the risk mitigation process and components. Lastly the framework was evaluated using iterative triangulation.
Keywords:	Risk Decision, Risk Mitigation, Software Agent, Knowledge Mapping, Iterative Triangulation
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	IMPLEMENTATION OF AUTOREGRESSIVE INTREGATED MOVING AVERAGE (ARIMA) METHODS FOR FORECASTING MANY APPLICANTS MAKING DRIVERS LICENSE A WITH EVIEWS 7 IN PATI INDONESIA
Author:	WARDONO, SCOLASTIKA MARIANI, YULIYANA FATHONAH
Abstract:	Drivers License A or Surat Ijin Mengemudi A (SIM A) is the evidence given by the police to a person who has fulfilled all requirement of driving a motor vehicle. Data SIM A services than at past time can be used to predict the data in the future. One of them using Autoregressive Integrated Moving Average (ARIMA) methods with Eviews 7. The purpose of this research is to find the best model of ARIMA and using the best model to predict the average public services in the field of SIM A in Pati Regency, Indonesia for the coming period. The data used in the form of monthly data from January 2010 until December 2015. The steps in the search for the best model of ARIMA that are : stasionary test of the data using a data plot, a correlogram, and a unit root test; make the data become stationary by differencing and transformation logarithms; estimate the model when the data is already stationary; doing the diagnostic checking with a residual normality test, a autocorrelation test, and a heteroskedastic test; as well as selecting and determining the best model. The step resulted in the best model that is ARIMA (0,2,2) with a logarithmic transformation which has the value SSR = 0.937246, AIC = 0.002447, and R2 = 0.755068.
Keywords:	Drivers License A, Forecasting, ARIMA, Eviews 7
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	PERFORMANCE ANALYSIS OF THROUGH SILICON VIA’S (TSVs)
Author:	SANATH KUMAR TULASI , M. SIVA KUMAR , P. AMRUTHALAKSHMI , M. AKHILA
Abstract:	At present, the 3-D IC integration utilizes Through Silicon Vias (TSVs) and it increased tremendous energy. The structure of the TSV composed of Cu, isolating liner and the silicon substrate. The isolating liner is encompassed signal TSV to stay away from signal leakage from TSV to the silicon substrate. In the conventional TSV structures, Sio2 is utilized as an isolating liner on account of its material compatibility with thesilicon substrate. To contrast to that several researchers had reported the issues of Sio2. Due to the high dielectric constant to such an extent that it brings about increasing of delay. Subsequently, Sio2 is not appropriate for elite applications. In this paper, we utilized polymer liner as isolating liner in place of Sio2. We simulated the performance analysis for both conventional and proposed TSV structures by varying radius and height of TSV. The proposed TSV structure simulation shows better results compared to conventional TSV structure.
Keywords:	Delay, Height, Power, Radius, Through-Silicon Via (TSV).
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	A NOVEL LOW POWER AND LOW DELAY BUFFER USING DOMINO LOGIC DESIGN IN 32 NM TECHNOLOGY
Author:	M.SIVA KUMAR, SANATH KUMAR TULASI, SRAVANI KARANAM, P.TEJDEEP, A.NAGARJUNA, K.SRISAIRAJVENKAT
Abstract:	As device dimensions are miniaturized, propagation delay and power optimization issues have been accelerating in the circuit design while driving large capacitive loads. Usually large fan out capacitive loads need to be driven by a single gate without compromising high speed. Just as scaling the delay in on-chip designs we go for a consistent system design to scale down the delay in off-chip designs also. So we focus mainly on driving that large capacitive loads , in this regard we introduce some driving circuits known as buffers .So the main objective of this paper is to minimize delay of the overall circuit and power consumption while driving large capacitive loads using buffers. Hence the work is carried out in tanner tool in 32 nm technology.
Keywords:	Adaptive Exon Predictor, Computational Complexity, Deoxyribonucleic Acid, Disease Identification, Exons, Three Base Periodicity
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	A THIRD ORDER SIGMA DELTA MODULATOR IN 45nm CMOS TECHNOLOGY
Author:	M.SIVA KUMAR, SANATH KUMAR TULASI, R.ARUNKANTH, M.NANDINI, G.SUDHEEER KUMAR
Abstract:	In present communication systems low power ADC’s along with high speed characteristics are the main building blocks. Present the implementation of these ADC architectures are in scaled VLSI technologies. This paper delineates the design of a third order single loop switched Capacitor sigma delta modulator designed of 45nm CMOS technology. The modulator designed is to reduce the power consumption in the low voltage field. The power consumption is dependent on the utilization of OTA. So the Gain enhancement OTA which has more power efficiency compare to two-stage OTA is opted. Simulation results shown are with 45nm CMOS technology with ±1.2V supply voltage. To design Σ-Δ modulator TANNER EDA TOOL is used, the schematic is drafted using S-Edit, analysis of transient response have been done in T-Spice and waveforms are simulated in W-Edit
Keywords:	VLSI Technologies, Low-Power Circuits, Sigma Delta Modulator, Switched-Capacitor, Operational Trans conductance, rail-to-rail swing, Class-AB Amplifier.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	FPGA IMPLEMENTATION OF DES ALGORITHM USING DNA CRYPTOGRAPHY
Author:	B.MURALI KRISHNA , HABIBULLA KHAN , G.L.MADHUMATI , K.PRAVEEN KUMAR , G.TEJASWINI , M.SRIKANTH , P.RAVALI
Abstract:	DNA Cryptography is the evolving cryptanalytic technology in the field of information security. Using this Cryptanalytic technology which involves in DNA Cryptography improves the security level to protect information from attackers. However all those methods which are proposed earlier remained theoretical concepts for enhancing security. In addition, Traditional Cryptographic methods have some demerits such as size of the input, computational speed and cost. To overcome these problems this proposed paper describes in detail about the advancements that are made in the DES Algorithm (Data Encryption Standard) using DNA cryptography. Moreover, this paper illustrates about the DES algorithm’s encryption and decryption process which follows symmetric key system followed by DNA cryptography. Out of two stages in the proposed technique, in first stage the Cipher is generated using conventional DES algorithm, the key that is used to produce cipher is generated by using partial reconfiguration and later the key is also encrypted using dummy key. In second stage this encrypted key and cipher is subjected to DNA computing followed by the protein form i.e., the cipher is shown in the form of proteins which is unbreakable. This cryptographic technique is designed and simulated using Xilinx ISE and targeted on Zed board. The analysis of the results endorse that the proposed algorithm is immune from attacks, reliable and robust for transmission of information.
Keywords:	DNA Cryptography, Data Encryption Standard, RNA, Protein form, Zed Board FPGA
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	DYNAMICALLY EVOLVABLE HARDWARE-SOFTWARE CO-DESIGN BASED CRYPTO SYSTEM THROUGH PARTIAL RECONFIGURATION
Author:	B.MURALI KRISHNA, G.L.MADHUMATI, HABIBULLA KHAN
Abstract:	Cryptography establishes a secure channel for data communication between sender and receiver. Nowadays, millions of online transactions happen in seconds throughout the world like trading, banking, e-commerce, and social networking etc., exchanges data among users. Evolution in internet led to increase in number of hackers, cyber attacks over network, network security has become a major issue in present era data protection has become significant, such that an unbreakable encryption technology should be designed in order to provide security for the data. The advent of VLSI technology has grown enormously in the last two decades by extending its prominence towards network security where mainly information processing cryptography has gained popularity in this field. This paper presents a module in cryptosystem is partially reconfigurable (PR) in run time which serves two purposes. One module for dynamic key generation mechanisms and second module for inverse permutation block in Data Encryption Standard (DES) and shift rows block in Advanced Encryption Standard (AES) cryptography techniques which play a vital role in data security. A new approach with Deoxyribonucleic Acid(DNA)structure have four nucleotides which are named as A (Adenine), C (Cytosine), G (Guanine) and T (Thymine) are the elements existing in DNA mechanism is applied on both cipher and key are merged and transmitted along a channel in protein form which enhances the security. Run time evolvable hardware like, Field Programmable Gate Array (FPGA) architecture and its behavior changes dynamically with partial reconfiguration are suitable for wide variety of applications which can configure to implement custom designs and needs. Encryption Techniques are designed using Verilog HDL, synthesized in Xilinx simulated with ISIM simulator and implemented on Virtex FPGA architecture. Dynamic keys and reconfigurable modules are generated by loading Partial bit streams from CF Card are configured to FPGA by issuing commands in serial Terminal through MicroBlaze Processor.
Keywords:	Cryptography, Partial Reconfiguration, AES, DES, DNA, FPGA.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	BEAM POINTING ACCURACY OF PHASED ARRAYS FOR SATELLITE COMMUNICATION
Author:	K CH SRI KAVYA, SARAT K KOTAMRAJU, B. NAVEEN KUMAR, M. D. N. S. MOUNIKA, SROTE SINGH, AJAY SIDDA
Abstract:	Phased arrays are utilized as a part of both radar and communication frameworks. These phased arrays are generally used in most applications because they can cover long distance. Phased array for the most part means an electronically look through arrays. All the more as of late, phased arrays are discovering use in communication frameworks such in satellites, and for ground based SATCOM. A phased array is a system that uses large number of individual antenna components each with phase control. The linear arrangement of components is considered for the array. The phase control permits the pattern of antenna radiation example to be filtered electronically to track targets or to keep up interchanges to sustain link. The capacity to frame different concurrent beams implies that the radar can at the same time track various targets. The beam pointing error lies on different variables i.e. if we are trying to point out the beam in particular direction there may be a very small variation in the beam and this causes the beam pointing error. The pointing error relies on upon utilizing shifters i.e., computerized or analogue, scanning angle, bits utilized for phase shifting and dispersing between the components. Here we are trying to reduce the pointing error in order to steer the beam to the desired angle. The pointing error decreases with increase in number of components, increase in number of bits used for producing phase states and increase in spacing.
Keywords:	Analog Phase Shifter, Beam Pointing Error, Digital Phase Shifter, Effects On Bpe, Effects Of Steering Angle, Linear Antenna Array.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	IMPLEMENTATION OF LOW POWER SRAM CELL STRUCTURE AT DEEP SUBMICRON TECHNOLOGIES
Author:	YEDUKONDALA RAO VEERANKI, DAMARLA PARADHASARADHI, G MADAN SANKAR REDDY, KUPPA PM SIVA KUMAR
Abstract:	SRAM (Static Random Access Memory) is an significant component in memory devices where refresh operation required. To achieve high speed, SRAM has been used in most of the SOC chips. To get high reliability and low power consumptions in various applications a low power Static RAM is needed. This paper concentrates on reducing the dissipation of power during write operation in CMOS Static RAM cell for various frequencies. Here different cell SRAM cell structures like single bit SRAM, Stable SRAM cell respectively implemented and those are compared with the proposed SRAM Cell construction. Generally, power indulgence happens through the write operation because of charging and dis-charging of the SRAM Cell bit line, it is the major problem in the Static RAM cell. In this work, the Static RAM cell proposed which operates at low power compared to existing models. The comparative analysis performed in the DSCH and Microwind tools by applying technology node as 180nm.
Keywords:	SRAM, STABLE SRAM Cell, Single bit SRAM Cell, 180nm
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	STATISTICAL ANALYSIS OF PROPAGATION PARAMETERS FOR FADE MITIGATION
Author:	K. CH. SRI KAVYA, SARAT K. KOTAMRAJU, B. S. S. S. D CHARAN, PHANINDRA K, BITRA SRINIVAS, N. NARENDRA KUMAR
Abstract:	Signal attenuation is the major reason for the loss of signal in some regions. There are many atmospheric factors that cause degradation of the signal. In summer the attenuation is mostly due to scintillations in troposphere. Fog is the major reason for the attenuation in the winter season. Where as in monsoon it is due to rain and cloud. The depth of this attenuation purely depends on the frequency of the signal. If the signal frequency is greater than 10GHz, degradation of the signal is more. This work deals with the attenuation of the signal due to rain. This analysis is useful to implement the suitable fade mitigation technique. Fade mitigation techniques are useful in receiving the signal without any loss. However, suitability of the fade mitigation technique varies from region to region. The analysis is done for the Beacon data received at K L University, Vaddeswaram located 29.08m above sea level with Latitude - 16.46’ N and Longitude – 80.54’ E.
Keywords:	Attenuation, Fade Mitigation, Beacon, Ku band, Rainfall Data.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	COMPUTATION OF ATTENUATION DUE TO RAIN FOR KU BAND FREQUENCIES USING DSD FOR THE TROPICAL REGION
Author:	GOVARDHANI.IMMADI, M.VENKATA NARAYANA,SARAT K KOTAMRAJU, T.S.S.P. SARVANI,T. MANASA,CH. VAMSI YASWANT, J. AKSHAYA KALYAN
Abstract:	These days we are observing a rise in spectral congestion mainly due to increased usage of wireless technologies. This lead to occupy higher band frequencies for efficient communication. As part of this, antennas operating at Giga Hertz frequencies are being designed and implemented for satellite communications. But, the microwave signals are experiencing loss of signal strength when interfered with various layers of the atmosphere, precipitation, clouds etc. Here the major impairment is due to rain and so a model which can estimate signal attenuation has to be developed. This can be quantified using conventional methods like physical modelling and empirical modelling using regression technique for years of data. This rises complexity in the calculation of attenuation caused by rain. Handling such large data is very difficult and it is also a time-consuming process. Rain drop distribution replaced this hard work with simplified analysis for any specific region. First, a suitable distribution model is selected for the region and attenuation is calculated using Mie scattering for all spherical rain drops, considering a major part of it is due to its size. This is followed by equation modelling using MATLAB. This experiment is conducted at K L University located 16.44o East and 80.60o North.
Keywords:	Spectral Congestion, Mie Scattering, Drop Size, Drop Size Distribution, Precipitation, Attenuation Due To Rain.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	ADAPTIVE NOISE CANCELLERS FOR CARDIAC SIGNAL ENHANCEMENT FOR IOT BASED HEALTH CARE SYSTEMS
Author:	MD NIZAMUDDIN SALMAN, P TRINATHA RAO, MD ZIA UR RAHMAN
Abstract:	Cardiac Signals (CS) are affected with various artifacts during the acquisition and transmission. So these artifacts must be removed before presenting it to a doctor. In the proposed paper Normalized Median Least Mean Square (NMLMS) algorithm is being introduced for elimination of Power Line Interference (PLI), Baseline Wander (BW), Muscle artifacts (MA) and Electrode Motion (EM) from CS. The NMLMS has many advantages over the other conventional algorithms, i.e., it tends to reject single occurrence of large spikes of noise which otherwise introduces impulsive errors. Computational complexity can be reduced by the combination of sign algorithms with the NMLMS algorithm, which results in three new different algorithms. Based on the above algorithms, various Adaptive Noise Cancellers (ANC’s) have been developed to eliminate BW, MA and EM from the CS. The above mentioned algorithms have applied to real CS obtained from the MIT-BIH database. The simulation results confirm that the NSRMLMS algorithm is better than the conventional LMS algorithms in terms of Signal to Noise Ration Improvement (SNRI), Excessive Mean Square Error (EMSE) and Misadjustment (MSD). From the simulation results it is clear that NSRMLMS achieves the highest SNRI than the conventional LMS algorithms. The values are as follows: 11.2748dB, 9.4715dB, 10.6917dB and 10.7076 dB. These are the average values in terms of SNRI for PLI, BW, MA and EM respectively. Due to the reduced computational complexity these algorithms are usefull for Internt of Things (IOT) based remote health care monitoring systems.
Keywords:	Adaptive Algorithms, Adaptive Noise Cancellers, Artifacts, Cardiac Signal, health care systems.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	ADAPTIVE SPEECH ENHANCEMENT TECHNIQUES FOR COMPUTER BASED SPEAKER RECOGNITION
Author:	JYOSHNA GIRIKA, MD ZIA UR RAHMAN
Abstract:	Extraction of high resolution speech signals is important task in all practical applications. During the transmission of desired signals many noises are contaminated. The Least Mean Square (LMS) algorithm is a basic adaptive algorithm has been widely used in many applications as a significance of its simplicity and robustness. In practical application of the LMS algorithm, an important parameter is the step size. It is well known that if the convergence rate of the LMS algorithm will be rapid for the step size is fast, but the drawback is steady-state mean square error (MSE) will raise. On the other side, for the small step size, the steady state MSE will be small, but the convergence rate will be slow. Thus, the step size provides a tradeoff between the convergence rate and the steady-state MSE of the LMS algorithm. Make the step size variable rather than fixed to enhance the performance of the LMS algorithm, that is, choose large step size values during the initial convergence of the LMS algorithm, and use small step size values when the system is close to its steady state, which results in Normalized LMS (NLMS) algorithms. In this technique the step size is not constant and varies according to the error signal at that instant. In order to improve the quality of the speech signal, decrease the mean square error and increasing signal to noise ratio of the filtered signal, Weight Normalized LMS(WNLMS), Error Normalized LMS(ENLMS), Unbiased LMS (UBLMS) algorithms are being introduced as quality factor. These Adaptive noise cancellers are compared with respect to Signal to Noise Ratio Improvement (SNRI).
Keywords:	Adaptive filtering, Noise cancellation, SNRI, Speech enhancement, Unbiased.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	AN EFFICIENT DELAY AWARE QUALITY RELATION BASED ROUTING TREE ON WIRELESS NETWORK
Author:	P.RAJU , DR C.CHANDRA SEKAR
Abstract:	Wireless network combine different types of nodes and vector path to perform information processing with active node variance. The wireless node is additionally positioned to carry out routing with multiple base stations, and routing work is taken as an upcoming research work. Many reliable routing approaches are widely used in many resource limited applications, since it improves data delivery rate and reduces the average delay. However, they lack quality of routing and increases the delay time. In this paper, we propose a Menger connectivity graph based on minimum hop, called Delay Aware Quality Relation based Routing Tree (DAQR-RT). DAQR-RT provides the quality routing tree on wireless network. DAQR utilizes the active window conception to record the quality relationship using previous routing data information in wireless network. The previous routing information (i.e., historical information) is designed with the objective of reducing the delayed time rate efficiently in proposed DAQR-RT. Delay Aware Quality Relation constructs the recognized routing tree in wireless network. Besides, Active window conception previous information quality is captured and estimates the before constructing the recognized routing decision tree for effective broadcasting of information. Finally, the quality relationship in DAQR-RT mechanism uses a Menger connectivity graph based on minimum hop count field which resulting in avoids the poor connectivity and reducing the possibility of retransmissions while broadcasting. Simulations results are conducted to measure the efficiency of proposed DAQR-RT in wireless network through data transmission rate, size of the data block, delay rate, throughput and reduces retransmission during broadcasting. In the performance evaluation, we show that the Delay Aware Routing Tree algorithm achieves comparable performance to the state-of-the-art methods. Experimental analysis shows that DAQR-RT is able to reduce the delay time while broadcasting by 25.62% and reduce the retransmission rate by 37.5% compared to the state-of-the-art works.
Keywords:	Wireless Network, Menger Connectivity, Delay Aware Quality Relation, Routing Tree, Active Window
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	CRITICAL SECURITY CHALLENGES IN CLOUD COMPUTING ENVIRONMENT: AN APPRAISAL
Author:	MOHAMMAD SHUAIB MIR, MOHD. ADAM BIN SUHAIMI, BURHAN UL ISLAM KHAN, M. MUEEN UL ISLAM MATTOO, RASHIDAH F. OLANREWAJU
Abstract:	This paper mainly contributes a comprehensive survey on the climacteric security challenges imposed by cloud computing. The paper highlights the challenges/loopholes existing in cloud environment despite all the efforts adopted by organizations, and offers the recommendations for cloud providers as well as users. In this paper, more than 20 research papers pertaining to cloud security, in the span of past 5 years, have been studied and analyzed and twelve most important security threats to organizations have been identified that need attention by research community for encouraging their cloud adoption. This review concludes that some measures have to be adopted for accomplishing complete security in all aspects in the cloud environment. Unlike previous approaches, this effort is directed towards providing a thorough and inclusive review of the security vulnerabilities in cloud. Furthermore, this paper tries to suggest means how cloud federations can enhance security while mitigating risk and building customer trust at the same time.
Keywords:	Cloud Computing, Cloud Services, Cloud Service Models, Security Challenges, Threats
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	QUANTUM KEY DISTRIBUTION THROUGH AN ANISOTROPIC DEPOLARIZING QUANTUM CHANNEL
Author:	MUSTAPHA DEHMANI, EL MEHDI SALMANI, HAMID EZ-ZAHRAOUY, ABDELILAH BENYOUSSEF
Abstract:	Quantum cryptography is one of the major applications of quantum information theories. However, the Quantum key distribution (QKD) introduced by Bennett and Brassard in 1984 which is known as BB84 protocol, is used to obtain a secure random cryptographic secret key between the expediting Alice and the designating Bob and to detect the presence of eavesdroppers on the quantum channel. This channel is not always perfect; it often undergoes a quantum depolarizing channel which is a model for noise in quantum systems. In this work we study the depolarizing effect with an anisotropic probabilities of Bit-Flip, Phase-Flip and Bit-Phase-Flip in the presence of an eavesdropper for the two methods of attacks, cloning attack and intercept and resend attack, also we prove that the phase flip probability act strongly on the exchanged information safety.
Keywords:	Noise, Depolarizing channel, Eavesdropper, Attack, Phase flip probability
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	COMMON SENSE BASED TEXT DOCUMENT CLUSTERING ALGORITHM BY COARSE AND FINE GRAINED CLUSTERING TECHNIQUES
Author:	G. LOSHMA, DR. NAGARATNA P HEDGE
Abstract:	Text documents occupy the major source of data and hence it is important to keep the data in an organized fashion. Clustering is one of the ways for data organization, which tends to group similar documents together. In spite of the presence of numerous existing clustering algorithms, still there is an emergent need for accurate clustering algorithms. Additionally, most of the clustering algorithms work by distance based measures, which is the reason for lack of accuracy. In order to overcome these issues, this work presents a double layered text document clustering algorithm. The entire system is categorized into phases such as document pre-processing, representation, clustering and cluster labelling. The document pre-processing phase prepares the document in such a way that it is suitable for the forthcoming processes. The document representation phase is to standardize the structure of the document and this is done by Document Index Graph (DIG) model. The documents are then clustered by cosine similarity and rough set of clusters are formed. The second level of cluster refinement is achieved by ConceptNet, which works on the basis of common sense reasoning. Finally, the clusters are labelled by picking the top ranked key-phrase. This work is tested over BBCSport and 20 NewsGroup dataset and the proposed approach proves better results in terms of F-measure, purity and entropy.
Keywords:	Document clustering, DIG model, Sense based clustering, Distance based clustering
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	A NOVEL AUTOMATED METHOD FOR COCONUT GRADING BASED ON AUDIOCEPTION
Author:	PRASHANTH THOMAS, Dr. ANITA H B
Abstract:	The quality of the coconuts used for various purposes is of utmost importance. Demand for better quality products is constantly on the rise due to the improvements in the standard of living of people. There is a possibility that a bad coconut goes unnoticed by the traders, as it is hard to decide if a coconut is good or bad by relying only on its external appearance. Traditionally, quality assessment is carried out manually with the help of three senses; sight, hearing and smell. In the proposed work, a sound processing technique is used in an attempt to automate this process which overcomes the drawbacks of manual processing, which can be used in large godowns and warehouses. This proposed method provides the quality assessment of the coconut purely based on audioception. While creating the database, coconuts varying in size, shape, color and water content were taken from several places as a source for the dataset. Features are extracted from the sound pattern produced by the dropped coconut, which forms the basis for classification. Sequential Minimal Optimization (SMO), Dagging and Naive Bayes classifiers were used and the results obtained were found to be encouraging.
Keywords:	Sound Processing, Coconut Grading, Sequential Minimal Optimization (SMO), Dagging, Naive Bayes, Fast Fourier Transform
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	MDAASI: MODEL DRIVEN ARCHITECTURE APPROACH FOR APPLICATION SECURITY INTEGRATION
Author:	LASBAHANI ABDELLATIF, MOSTAFA CHHIBA, ABDELMOUMEN TABYAOUI, OUSSAMA MJIHIL
Abstract:	There have been many research works suggesting Model-driven Architecture (MDA) approaches for automatic application generation and personalization. MDA approach allows code generation from platform-specific models (PSMs) by the means of generators that automatically transform models into the source code for a chosen platform to automate software engineering process. Previous works have widely addressed code generation, but they are not considering nonfunctional aspects such as application security. In this current work, we are proposing some additional MDA mechanisms to generate secure applications based on a given set of security policies. In this context, this approach is used for integrating security properties, such as Authorization, Authentication, Communication encryption, Message Integrity, and Confidentiality of critical data, thus security properties will be incorporated in the generated software during the whole development process or in early abstraction stages. In other words, security models will be merged with the system models in different abstraction levels by applying a set of model-to-model transformation. As a result of this process, the system's source code and configuration files will be generated automatically from communication diagrams by applying a model-to-code transformation.
Keywords:	Model Driven Architecture, Code Generation, Application Security, Communication Diagram.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	HSLA: HETEROGENEOUS STORAGE-TIER LOG ANALYZER OVER HADOOP
Author:	NAWAB MUHAMMAD FASEEH QURESHI, DONG RYEOL SHIN, ISMA FARAH SIDDIQUI, ASAD ABBAS
Abstract:	Hadoop ecosystem processes extremely large datasets in a parallel computing environment. The Hadoop Distributed File System (HDFS) manages operational aspects of processed, unprocessed and log archives. Recently, HDFS has adopted heterogeneous environment, that enables file system to cope with storage-tier data processing. This increases the functional utilization of storage devices and distributes node capacity to storage-tier unevenly. Thus, a job having high priority is affected with delay latency and storage devices i.e. Disk, SSD and RAM consumes individual time overhead to release a non-priority job data. To analyze the complexity of storage-tier, we present Heterogeneous Storage-tier Log Analyzer (HSLA) strategy, that collects control and data flow events to a central repository and performs an analysis over log datasets. The analytics metrics consists of pre-emptive measures observed through events traces. The experimental results depict that, HSLA presents a broad aspect of storage-tier contingency problem and proposes a node computing capacity share strategy to balance functional processing of HDFS blocks over storage-tier.
Keywords:	Hadoop, HDFS, Log analysis, Storage-tier, heterogeneous node.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	ESMP: EXPLORATORY SCALE FOR MALWARE PERCEPTION THROUGH API CALL SEQUENCE LEARNING
Author:	G. BALAKRISHNA, DR. V.RADHA, DR. K.VENU GOPALA RAO
Abstract:	One of the critical factor of computer aided services and data security is defending malicious executables known as malwares. Since the zero day activities of malware, it becomes continuous process to sense and prevent the malicious activities of the vulnerable executables. The contemporary literature evinces the many of malware detection approaches. The malware detection by dynamic assessment is figured as significant to explore the behavioral information of the malicious executables. The recent malware analysis is concluding that the act of obfuscating the malicious executables is boosting the complexity of defending such attacks. This practice strongly demanding the more accurate malware defending approaches, hence this manuscript contributed an exploratory scale to analyze API call sequence in order to estimate the scope of malicious act by an executable. The proposed model called Exploratory Scale for Malware Perception (ESMP) is a machine learning strategy that acquires knowledge from the defined executables that labeled as either malicious or benevolent. Further this knowledge is used to define the exploratory scale proposed. ESMP even capable of identifying zero day exploiting of malware. The experimental study was carried out on set of executables labeled as either malicious or benevolent. The 70% of the given executables were used to train the ESMP to define exploratory scale and rest 30% were unlabeled and given to test the significance of the ESMP towards malware detection accuracy. The statistical metrics such as accuracy, sensitivity and specificity were assessed to notify the scalability, robustness and detection accuracy of the ESMP.
Keywords:	Executables, Malwares, Benevolent, Zero day activities, Exploratory.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	USING COGNITIVE AGENT IN MANUFACTURING SYSTEMS
Author:	KHULOOD ABU MARIA , NAGHAM A. A. , TAREK KANAN, EMAN ABU MARIA
Abstract:	Cognitive agents for business and industrial environments are one of the most dominant ideas in multi-agent scheme today. We propose a general, flexible, and powerful architecture to build software agents that embed artificial cognitive factors. The propose agent possesses sensible knowledge and reactive abilities, and interacts with the external complex business environment, including other agents. We examine if artificial cognitive states can improve the performance of agents in some business and industrial conditions. Our agent model generates responsive actions in reaction to certain stimuli. Cognitive Agent Model (CAM) is proposed for this purpose. Sales and Production Planning (SPP) (as business and manufacturing application) is chosen to demonstrate the use of our agent. Netlogo is used as an agent programming language. It is the agent-oriented language used to simulate and implement our proposed models.
Keywords:	Agent, Agent Modeling, Cognitive Factors, Believable, Behavior, Decision Making, Intelligent, Multi-Agent System.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	OFFLINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION SYSTEM USING SUPPORT VECTOR MACHINE AND NEURAL NETWORK
Author:	MOHAMED AL-JUBOURI, HESHAM ABUSAIMEH
Abstract:	The Arabic Language had a little attention in this field compared with other languages due to the high cursive nature of the handwritten Arabic language, especially with their dots. The difficulty lies in the complexity of locating the wavy shape in the characters, which solved by the combination of certain features extraction methods that work in separate way. The proposed of Isolated Arabic off-line handwritten recognition system based on two stages classifiers (Hybrid). First stage is a linear Support Vector Machine (SVM) for splitting the dataset characters into two groups - Characters with dots and Characters without dots, by giving certain extraction features to each group. This division can reduce the error rate of characters recognition which has similar looking shape. Second stage supplies the first stage result to Neural Network (NN) stage which granted one of the best correctness and accuracy by training. Finally, a fully recognized character is acquired successfully. This work is implemented (IFN/ENIT) dataset, the system significantly reduce the load of NN process by SVM classifier, which can be used for real-time applications. A total accuracy of this proposed work reaches 92.2%
Keywords:	Arabic Handwritten, Optical Character Recognition. Support Vector Machine, Feature Extraction, Neural Network, IFN/ENIT.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	A NEW COLOR IMAGE WATERMARKING TECHNIQUE USING MULTIPLE DECOMPOSITIONS
Author:	SALAM ABDULNABI THAJEEL, LAMYAA MOHAMMED KADHIM, SALLY ALI ABDLATEEF
Abstract:	Continuous and rapid development of network technologies has made communication faster and simpler nowadays. This improvement has led to an increasing amount and variety of data (i.e., texts, videos, images, speech, and audio), which are distributed and exchanged through networks. However, many issues have emerged, such as illegitimate copying and proof of illusory ownership. Watermarking is widely used as a technique to copyright protection of digital images. In this study, we propose a robust watermarking technique for color images using multiple decompositions to keep the copyright of the owner. Arnold transform is used to encrypt the watermark image to increase security. The given cover image is subjected to slantlet transform, contourlet transform, Schur decomposition, and discrete cosine transform. Eventually, the encrypted watermark is embedded. Experimental results show that the proposed scheme achieves good imperceptibility and high resistance against various attacks.
Keywords:	Image Watermark, SLT, Arnold Transform, Contourlet Transform, Schur Decomposition.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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Title:	MLD-LEACH: AN ENHANCED LEACH PROTOCOL FOR MULTIMEDIA WIRELESS SENSOR NETWORK
Author:	M. T. BENNANI, M. AIT KBIR
Abstract:	Transferring multimedia content such as videos and images over a wireless sensor network represents an open subject of research. It can be treated in different ways. For instance, we can send images through the network without compression using the spatial domain or using the frequency domain. In this paper use wireless sensor network routing protocols, such GPSR, for image transmission by processing it the frequency domain using the DCT transform. Actually, the aim of our work is to propose a new variante of Leach protocol, named MLD (Multiple Level Delay)-Leach, that is tested by studying the impact of image compression on energy consumption and the quantity of images received by the sink. For this purpose, we used Omnet++/Castalia as a simulator. Two applications are used in this simulation: the first one sends images without compression, and the second application sends images using a compression in the frequency domain. We are interested by this approach to study network energy behavior over time.
Keywords:	Castalia, WMSN, LEACH protocol, OpenCV
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2017 -- Vol. 95. No. 10 -- 2017
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