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This paper proposes a novel approach for sentiment analysis. The growing importance of sentiment analysis commensurate with the use of social media such as reviews, forum discussions, blogs, microblogs like Twitter, and other social networks. We require efficient and higher accuracy algorithms in sentiment polarity classification as well as sentiment strength detection. In comparison to pure vocabulary based system, deep learning algorithms show significantly higher performance. The goal of this research is to modify a Recurrent Neural Network (RNN) with Gated Recurrent Unit (GRU) by introducing stochastic depth in a hidden layer and comparing it with baseline Naïve Bayes, vanilla RNN and GRU-RNN models. To improve our results, we also incorporated Active Learning with Uncertainty Sampling approach. Movie review dataset from Rotten Tomatoes was used, the dataset includes 215,154 fine grained labelled phrases in addition to 11,855 full sentences. We performed pre-processing on the data and used an embedding matrix with pre-trained word vectors as features for training our model. These word vectors were generated using character level n-grams with fasttext on Wikipedia data.

Fasttext, Recurrent Neural Network, Gated Recurrent Unit, Active Learning

[1] Bojanowski, Piotr, et al, “Enriching word vectors with subword information”, arXiv preprint arXiv:1607.04606 (2016).
[2] Huang, Gao, et al, “Deep networks with stochastic depth”, European Conference on Computer Vision. Springer International Publishing, 2016.
[3] Socher, Richard, et al, “Recursive deep models for semantic compositionality over a sentiment treebank”, Proceedings of the 2013 conference on empirical methods in natural language processing. 2013.
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[6] Mikolov, Tomas, et al, “Efficient estimation of word representations in vector space”, arXiv preprint arXiv, pp.1301.3781 (2013).
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[8] Settles, Burr, “Active learning literature survey”, University of Wisconsin, Madison, Vol.52, pp.55-66, 2010.

Tulsi Jain, Kushagra Agarwal, Ronil Pancholia, "Sentiment Analysis Based on a Deep Stochastic Network and Active Learning," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.1-6, 2017.

Precise iris tracking is an important tool in assistive technology, and has many advanced applications such as in human-computer interactions and driver fatigue detection. Features such as shape, colour, and size of the iris enable specific position and centre of the iris to be tracked during its movement. The iris tracking system is divided into four stages: image acquisition, face detection, eye detection, and eye tracking. This study proposes a new method for iris tracking using a generalized particle filter. This approach utilizes a sample set of the tracked iris which is created at the beginning of the tracking process. The prior representation and position of the tracked iris are then predicted depending on the minimization of parameters of the proposed generalized probabilistic distribution. Results of the experiments show that the proposed method has high accuracy and can be used to efficiently track the at a shorter length of time.

Iris tracking; Particle filter; β-Distribution; Biometrics; Fatigue detection

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[2]. H.R. Chennamma “A Survey on Eye-Gaze Tracking Techniques”, Indian Journal of Computer Science and Engineering (IJCSE), Vol. 4 No.5 Oct-Nov 2013.
[3]. J. Zhu, and J. Yang. “Subpixel eye gaze tracking”.5th IEEE International Conference on Automatic Face and Gesture Recognition, Page 131, May 20 - 21, 2002 .
[4]. K. Toennies, F. Behrens and M. Aurnhammer.” Feasibility of Hough-transform-based iris localization for real-timeapplication”.16th IEEE International Conference on Pattern Recognition, Quebec, Canada 11-15 Aug. 2002.
[5]. V. Raudonis, R. Simutis and G. Narvydas.” Discrete eye tracking for medical applications”. Proc. 2nd ISABEL, pp. 1–6, 2009.
[6]. S. Keerativittayanun, K. Rakjaeng, T. Kondo, W. Kongprawechnon, K. Tungpimolrut, and T. Leelasawassuk. “Eye Tracking System for Ophthalmic Operating Microscope”. ICROS-SICE International Joint Conference 2009, Fukuoka, Japan, August 18-21, 2009.
[7]. L. Ma, Y. Sun, N. Feng, Z. Liu, “Image Fast Template Matching Algorithm Based on Projection and Sequential Similarity Detecting”, Harbin Institute of Technology at Weihai, Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, China, 2009.
[8]. Y. Kuo, J. Lee and S. Kao, “Eye Tracking in Visible Environment”, Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 114-117, 2009.
[9]. J.Tang, and J. Zhang. “Eye Tracking Based on Grey Prediction.” First International Workshop on Education Technology and Computer Science. China, 7-8 March 2009.
[10]. K. D. Toennies , Beherens F., and Aurnhammer M. “Feasibility of Hough-Transform-based Iris Localisation for Real-Time-Application”, Proc Intl Symp on Eye Movements and Vision in the Natural World, Amsterdam/Rotterdam, 2002.
[11]. P. M. Daye and Optican L. M., “Saccade detection using a particle filter”, Journal of Neuroscience Methods, 235: 157–168, 2014.
[12]. D. W. Hansen and Q. Ji. In the eye of the beholder: “A survey of models for eyes and gaze”.IEEE Trans. Anal. Mach. Intell., 32(3):478–500, 2010.
[13]. W. Hotrakool, P. Siritanawan, and T. Kondo “.A realtime eye-tracking method using time-varying gradient orientation patterns”.Proc. Int. Conf. Electr. Eng., Electron. Comput. Telecommun. Inf. Technol., pp. 492–496, 2010.
[14]. B. Fu and R. Yang. “Display control based on eye gaze estimation”. Proc. 4th Int. CISP, 1:399–403, 2011.
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[16]. Y. Kuo, J. Lee, and S. Kao. “Eye tracking in visible environment”. Proc. 5th Int. Conf. IIH-MSP, pp. 114– 117, 2009.
[17]. J. Tang and J. Zhang,” Eye tracking based on grey prediction”. Proc. 1st Int. Workshop Education Technol. Computer Science, pp. 861–864, 2009.
[18]. P. Majaranta and Bulling A, “Eye Tracking and EyeBased Human–Computer Interaction”, In, S. H. Fairclough and K. Gilleade (eds.), Advances in Physiological Computing, Human–Computer Interaction Series, Springer-Verlag 2014.
[19]. M.Sadri, K. Kangarloo, F. Farokhi “Particle Filtering in the Design of an Accurate Pupil Tracking System”, International Journal of Computer Applications (IJCA), 51(8), 2012.
[20]. O. Boumbarov, Panev S., Sokolov S., and Kanchev V. IR “Based Pupil Tracking Using Particle Filtering", IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing systems: Technology and Applications, 21-23 September, 2009.
[21]. H. Liu and Q. Liu. Robust “real-time eye detection and tracking for rotated facial images under complex conditions”. Proc. 6th ICNC, pp. 2028–2034, 2010.
[22]. Y.Zhang, K.Jia. “A local and scale integrated feature descriptor in eye-gaze tracking”. Image and Signal Processing (CISP), 4th International Congress on, china, 15-17 Oct. 2011.

N.Yaghoobi Ershadi, "New Iris Tracking Method using a Generalized Particle Filter," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.7-14, 2017.

Healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’ [1]. Today in this hectic lifestyle, one of the major threats to human health is Diabetes Mellitus. Valuable knowledge can be discovered from application of data mining techniques in the Health care System particularly in Diabetes Database. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. This paper aims to analyze the performance of the classification techniques in diabetes data set.

Diabetes Mellitus, Data Mining, Classification, Naïve Bayes, Random Forest, J48, JRIP, Multilayer Perceptron, KNN, Support Vector Machine, RBF Network, Weka

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K. Saravanapriya, J. Bagyamani, "Performance Analysis of Classification Algorithms on Diabetes Dataset," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.15-20, 2017.

In this manuscript we consider two different parameters of DC-8 aircraft and extend the work as original research for controlling the longitudinal and lateral yaw damper movement. Here we consider both the theoretical and numerical aspect of aircraft dynamics by modeling the control surfaces i.e., elevators and lateral yaw damper. For controlling these control surfaces we design an intelligent PID controller and examine the overall performance of the system primarily based on time response specification. The simulation results generated are plotted and evaluated between controller response v/s deflection of control surfaces i.e., horizontal stabilizer and vertical stabilizer/rudder. The controller is designed based on dynamical model of aircraft for which equations are derived governing input to elevator, and rudder, which are used to control aircraft longitudinal and directional stability of aircraft. A quantitative analysis of PID controller has been carried out in MATLAB 2014a Simulink© environment for all the two movements of aircraft based on time response specification.

Pitch, Yaw, Elevators, Rudder, PID

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R. Dahiya, A. K. Singh, "Theoretical and Simulation Based Approach for Controlling Aircraft Longitudinal and Lateral Yaw Damper Movement Using PID Controller," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.21-26, 2017.

Secret sharing is an important cryptographic protocol having many striking applications in reality. In a fraudulent model, it is even more difficult to compute because, fraud will also know the secrets and will impersonate as a valid secret share holder thereafter. This paper proposes a model for zero knowledge identification of authentic secret shareholders based on Elliptic curves. The model considers Chinese remainder theorem based secret sharing scheme for oblivious computations. The proposed model uses Weil pairing based tripartite Diffie-Hellman model on Elliptic curves and the model only says whether the participating parties are true shareholders or not without reviling any secret information. The paper also discusses the computational aspects the proposed models and possible weaknesses of the model.

Weil Pairing, Zero Knowledge Authentication, Secret Computing, Chinese Remainder, Elliptic Curve

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Parthajit Roy, "A Tripartite Zero Knowledge Authentication Protocol based on Elliptic Curve Weil Pairing," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.27-31, 2017.

Software engineering has been largely looked upon as a layered technology that integrates processes, people and technology for the software development. The choice of one particular model over a set of available models will depend on its efficacy and appropriateness. The ultimate goal of any form of software engineering is to build up the most efficient model and this build up will decide the future and successful completion of any project. The study intends to develop similarity measures between ordered intuitionistic fuzzy soft sets (OIFSSs). The proposed model is applied to five software life cycle models (SLCMs) so as to select the most appropriate one.

Similarity measure, Software life cycle, Fuzzy decision making, Intuitionistic fuzzy soft sets

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S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, "A Modified Fuzzy Similarity Measure Decision Making Approach to SLCM Selection," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.32-39, 2017.

Biometric system is used for identification of an individual on the basis of their physical and behavioral features. As the research in the information technology is increasing day by day, so, the security of information becomes a great issue. Therefore, to deal with security, authentication access control plays an important role and this is the first step to ensure security. This paper describes the study of widely used biometric technologies. The principle by the biometric system work is being defined with the stages by which biometric system works. In biometrics, according to some characteristics, we need to identify human physiological parameters. The comparison of biometric traits on the basis of feature description is given with their characteristics on the basis of uniqueness, university, measurability, acceptability, circumvention and premenance. Work done by number of authors in biometric system is given in the form of comparison with the techniques and outcomes. A biometric system requires a reliable personal identification scheme to confirm or determine the needs of their individual identity services. The aim of this technique is to ensure that only legitimate users can access these services, and are not accessible to others. The notable features of biometric can be confirmed or established a personal identity.

Biometric, fingerprint hand, iris, face, DNA, keystroke, signature, Voice

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Manpreet Kaur, Sawtantar Singh Khurmi, "Biometric Recognition System: A Review," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.40-45, 2017.

To reduce the several in between base station processing in heterogeneous network we connect all the heterogeneous Network with the main more powerful central server on cloud and in this way in this Network name is HCRAN, for reducing the cost and load in this paper we properly study existing system and then some problems that present in the previous Network reduce or eliminate in this Network ,like overloading ,Energy consumption, reduced in this Network but Throughput increased and dead nodes decreases in this Network .In this thesis paper we increases the overall performance of the HCRAN by using the base station shifting technique and changes the method of devices connected with the base-station in the previous HCRAN the devices connect with the base station according to the distance but in this paper the distance and energy factor considered for connection for improving the performance of system ,in this way by implementing this techniques in the HCRAN the energy consumption and overloading, main problems in the previous HCRAN resolves in this system. The overall work divided in three scenario in the first scenario the base stations shifting technique that is new technique shows in simulations results and in the second scenario the connection process between the base- stations and devices in system shows according to distance and energy factor and in the third scenario the overall work combined and shows the wake up situations after sleep and connection with the nearest base- station shows in this thesis paper.

Energy consumption, Throughput, No of calls drop, No of dead nodes

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P. Singh, N. Singh, S. Rani, "Heterogeneous Cloud Radio Access Network," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.46-51, 2017.

In this paper, we describe about a repository which is composed of the information related to genes sequences, proteins sequences, upstream sequences, codon usage in proteins, physico-chemical properties, secondary structures and biochemical pathway information of proteins of chitin degrading bacterium Serratia proteomaculans 568. The advantage of this repository is that it can be hosted in the user’s computer and work without internet connection. The backend data for developing this repository was generated using different computational tools which were published earlier. The .faa, .fna, .ptt files of S.proteomaculans 568 were downloaded from NCBI was used as primary seed data for the generation backend data. Web technologies were used to retrieve and display the compiled data in the browser. The data retrieved out of this repository can be used as preliminary source for understanding various concepts related to genes and proteins of Serratia proteomaculans 568. This repository can be obtained from http://crraoaimscs.res.in/serratia_568/serratia_568.rar

Serratia proteomaculans 568, gene sequences, protein sequences, physico-chemical properties, Secondary structures

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P.V. Parvati Sai Arun, "Genomic and proteomic repository of chitin degrading bacterium Serratia proteamaculans 568," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.52-54, 2017.

This paper summarises the impact of earthquakes on Christchurch’s storm water network and the recovery strategies that are being applied to restore the performance of the network. Storm water hydraulic models are being used to determine the level of service in the storm water network, and the extent and severity of flooding pre- and post-quake for different extreme weather events. The modelling tools have been used extensively for land-drainage recovery works. To be suitable for use the storm water models must be sufficiently current and accurate to be a good representation of the actual operation of the storm water system. Thousands of earthquakes and earthquake aftershocks are continually changing the ground levels and the condition of different storm water infrastructure in Christchurch. The dynamic response of the surface water network and coastal plains due to earthquake-related topographical changes, lateral spreading, liquefaction, and subsidence posed a number of challenges for the local water authority. A case study on flood modelling for a flood-prone area of Christchurch has been reported in this paper. This paper outlines key challenges during the storm water model-building and updating process for a network which faces continual earthquakes and earthquake-related aftershocks.

Earthquake recovery, Hydraulic model, Restore stormwater network, Storm water, Surface water, Storm water model

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Rahul R. Biswas, Tripti R. Biswas, "Modeling Seismic Effects on a Stormwater Network and Post-earthquake Recovery," International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.55-61, 2017.