TOP 10 Computer Science & Information Technology Research Articles

TOP 10 Cited Computer Science & Information Technology Research Articles From 2017 Issue

 http://airccse.org/journal/ijcsit2017_curr.html

   International Journal of Computer Science and Information Technology (IJCSIT)

INSPEC Indexed

ISSN: 0975-3826(online); 0975-4660 (Print)

http://airccse.org/journal/ijcsit.html

 Citation Count – 5

An Integrated System Framework For Predicting Students’ Academic Performance In Higher Educational Institutions

Olugbenga Adejo and Thomas Connolly

School of Engineering and Computing, University of the West of Scotland,  Paisley, United Kingdom

ABSTRACT

Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs). It is of a great importance not only to the students but also to the educational administrators and the institutions in the areas of improving academic quality and efficient utilisation of the available resources for effective intervention. However, despite the different frameworks and various models that  researchers have used across institutions for predicting performance, only negligible success has been recorded in terms of accuracy, efficiency and reduction of student attrition. This has been attributed to the inadequate and selective use of variables for the predictive models. This paper presents a multi-dimensional and an integrated system framework that involves considerable learners’ input and engagement in predicting their academic performance and intervention in HEIs. The purpose and functionality of the framework are to produce a comprehensive, unbiased and efficient way of predicting student performance that its implementation is based upon multi-sources data and database system. It makes use of student demographic and learning management system (LMS) data from the institutional databases as well as the student psychosocial-personality (SPP) data from the survey collected from the student to predict performance. The proposed approach will be robust, generalizable, and possibly give a prediction at a higher level of accuracy that educational administrators can rely on for providing timely intervention to students

KEYWORDS

Prediction, Student performance, Higher education, integrated system, framework.

For More Details :  http://aircconline.com/ijcsit/V9N3/9317ijcsit13.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

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[20] Cerezoa, R., Sánchez-Santillánb, M., Paule-Ruizb,M.P., & Núñeza J. (2016). “Students’ LMS interaction patterns and their relationship with achievement: A case study in higher education”, Computer and Education Vol. 96, May 2016, pp. 42–54

[21] Sembiring, S., Zarlis, M., Hartama, D., Ramliana, S., & Wani, E.(2011). Prediction of student academic performance by an application of data mining techniques. In International Conference on Management and Artificial Intelligence IPEDR, Vol.6, pp.110-114.

[22] Fariba, T.B. (2013). “Academic performance of virtual students based on their personality traits, learning styles and psychological well-being: A prediction”. Procedia-Social and Behavioral Sciences, Vol.84, pp.112-116.

[23] Gray, Geraldine, Colm Mcguinness, and Philip Owende. (2016) “Non-Cognitive Factors of Learning as Early Indicators of Students-at-Risk of Failing in Tertiary Education.” In Non-cognitive Skills and Factors in Educational Attainment, pp. 199-237. SensePublishers.

[24] Sarker, Farhana, Thanassis Tiropanis, and Hugh C. Davis.( 2013) “Exploring student predictive model that relies on institutional databases and open data instead of traditional questionnaires.” In Proceedings of the 22nd International Conference on World Wide Web, pp. 413-418. ACM.

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[26] Rubiano, S.M.M. and Garcia, J.A.D., (2015). “Formulation of a predictive model for academic performance based on students’ academic and demographic data”. In Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE (pp. 1-7). IEEE

[27] Rusli, N.M., Ibrahim, Z. and Janor, R.M., (2008). “Predicting students’ academic achievement: Comparison between logistic regression, artificial neural network, and Neuro-fuzzy”. In Information Technology, 2008. ITSim 2008. International Symposium on (Vol. 1, pp.1-6). IEEE.

   Citation Count – 5

Data Warehouse And Big Data Integration

Sonia Ordoñez Salinas and Alba Consuelo Nieto Lemus

Faculty of Engineering, Distrial F.J.C University, Bogotá, Colombia

ABSTRACT

Big Data triggered furthered an influx of research and prospective on concepts and processes pertaining previously to the Data Warehouse field. Some conclude that Data Warehouse as such will disappear; others present Big Data as the natural Data Warehouse evolution (perhaps without identifying a clear division between the two); and finally, some others pose a future of convergence, partially exploring the possible integration of both. In this paper, we revise the underlying technological features of Big Data and Data Warehouse, highlighting their differences and areas of convergence. Even when some differences exist, both technologies could (and should) be integrated because they both aim at the same purpose: data exploration and decision making support. We explore some convergence strategies, based on the common elements in both technologies. We present a revision of the state-of-the-art in integration proposals from the point of view of the purpose, methodology, architecture and underlying technology, highlighting the common elements that support both technologies that may serve as a starting point for full integration and we propose a proposal of integration between the two technologies.

KEYWORDS

Big Data, Data Warehouse, Integration, Hadoop, NoSql, MapReduce, 7V’s, 3C’s, M&G

For More Details :  http://aircconline.com/ijcsit/V9N2/9217ijcsit01.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

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 Citation Count – 03

Raspberry Pi And Arduino Uno Working Together As A Basic Meteorological Station

José Rafael Cortés León ¹, Ricardo Francisco Martínez-González ² Anilú Miranda Medinay 3 and Luis Alberto Peralta-Pelaez³

^1,2Department of Electric-Electronic Engineering, Instituto Tecnologico de Veracruz (TecNM), Veracruz, Mexico

³Department of Chemistry-Biochemistry Engineering, Instituto Tecnologico deVeracruz (TecNM), Veracruz, Mexico

ABSTRACT

The present paper describes a novel Raspberry Pi and Arduino UNO architecture used as a meteorological station. One of the advantages of the proposed architecture is the huge quantity of sensors developed for its usage; practically one can find them for any application, and weather sensing is not an exception. The principle followed is to configure Raspberry as a collector for measures obtained from Arduino, transmitting occurs via USB; meanwhile, Raspberry broadcasts them via a web page. For such activity is possible thanks to Raspbian, a Linux-based operating system. It has a lot of libraries and resources available, among them Apache Web Server, that gives the possibility to host a web-page. On it, the user can observe temperature, humidity, solar radiance, and wind speed and direction. Information on the web-page is refreshed each five minute; however, measurements arrive at Raspberry every ten seconds. This low refreshment rate was determined because weather variables normally do not abruptly change. As an additional feature, system stores all information on the log file, this gives the possibility for future analysis and processing.

KEYWORDS

Raspberry Pi, Arduino UNO, Meteorological station, Novel architecture.

For More Details :  http://aircconline.com/ijcsit/V9N5/9517ijcsit08.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

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  Citation Count – 3

Residual Quotient And Annihilator Of Intuitionistic Fuzzy Sets Of Ring And Module

P.K. Sharma¹ and Gagandeep Kaur²

¹P.G. Department of Mathematics, D.A.V. College, Jalandhar City, Punjab, India

²Research Scholar, IKG PT University, Jalandhar , Punjab

Abstract

In this paper, we introduce the concept of residual quotient of intuitionistic fuzzy subsets of ring and module and then define the notion of residual quotient intuitionistic fuzzy submodules , residual quotient intuitionistic fuzzy ideals. We study many properties of residual quotient relating to union, intersection, sum of intuitionistic fuzzy sub modules (ideals). Using the concept of residual quotient, we investigate some important characterization of intuitionistic fuzzy annihilator of subsets of ring and module. We also study intuitionistic fuzzy prime sub modules with the help of intuitionistic fuzzy annihilators. Many related properties are defined and discussed.

Keywords

Intuitionistic fuzzy (prime) sub module (ideal), residual quotient intuitionistic fuzzy sub modules (ideal), intuitionistic fuzzy annihilator, semi prime ring.

For More Details :  http://aircconline.com/ijcsit/V9N4/9417ijcsit01.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

References

[1] K. T. Atanassov,(1986) , Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Vol. 20, No. 1, pp., 87- 96.

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[3] I. Bakhadach , S. Melliani, M. Oukessou and S.L. Chadli,(2016), Intuitionistic fuzzy ideal and intuitionistic fuzzy prime ideal in a ring, Notes on Intuitionistic Fuzzy Sets, Vol. 22, no. 2 pp 59-63.

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[8] K. Hur, H.K. Kang and H.K. Song, (2003), Intuitionistic fuzzy subgroup and subrings, Honam Math J. Vol. 25, No. 1, pp 19-41.

[9] P. Isaac, P.P. John, (2011), On intuitionistic fuzzy submodules of a module, Int. J. of Mathematical Sciences and Applications, Vol. 1, No. 3, pp 1447-1454.

[10] D. S. Malik and J. N. Mordeson, (1998), Fuzzy Commutative Algebra, World Scientific Publishing Co-Pvt. Ltd.

[11] K. Meena and K. V. Thomas, (2011), Intuitionistic L-Fuzzy Subrings, International Mathematical Forum, Vol. 6, No. 52, pp 2561 – 2572.

[12] P.K. Sharma, (2011), (α, β)-Cut of Intuitionistic fuzzy modules- II, International Journal of Mathematical Sciences and Applications, Vol. 3 , No. 1, pp. 11-17.

[13] P. K. Sharma and Gagandeep Kaur, (2016) , Intuitionistic fuzzy superfluous modules, Notes on Intuitionistic Fuzzy Sets, Vol. 22, No. 3, pp 34-46.

[14] S. Rahman, H.K. Sailia, (2012) , Some aspects of Atanassov’s intuitionistic fuzzy submodules, Int. J. Pure and Appl. Mathematics, Vol. 77, No. 3, pp 369-383.

[15] H.K. Saikia and M.C. Kalita, (2009) , On Annihilator of fuzzy subsets of modules, Internal Journal of Algebra Vol. 3, No. 10, pp. 483- 488.

[16] L. A. Zadeh, (1965), Fuzzy sets , Information and Control, Vol. 8, pp 338–353.

Citation Count – 3

A Meliorated Kashida-Based Approach For Arabic Text Steganography

Ala’a M. Alhusban and Jehad Q. Odeh Alnihoud

Computer Science Dept, Al al-Bayt University, Mafraq, Jordan

ABSTRACT

Steganography is an art of hiding a secret message within some cover media such as: images, audios, videos, and texts. Many algorithms have been proposed for Arabic text steganography exploiting some features of Arabic language such as: diacritics, extension character (kashida), and pointed letters. In this research we propose a new method to enhance a kashida-based methods for text steganography. In which each existing kashida can hide two bits instead of only one bit. In addition, security measures is increased through embedding the secret bits into the cover text by two different ways since the cover text is divided into two blocks; each one of them is being treated in different way. Moreover, the original kashida in the cover text is ignored by the extractor. A system is designed to achieve the embedding as well as the extracting with high degree of security through authentication operation used in its interface. The proposed approach is tested and compared with the most related kashida-based approaches in terms of capacity and the results are promising. Furthermore, it overcomes the limitations of other approaches, maintain a reasonable increases in the files size, and enhances security measures.

KEYWORDS

Arabic text, Steganography, Kashida, Pointed characters, Zero-width character.

For More Details : http://aircconline.com/ijcsit/V9N2/9217ijcsit09.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

[1] G. Kipper, (2003) Invistigator’s Guide to Steganography, Auerbach Publications, ISBN 9780849324338, October 27.

[2] Gutub, A. and M. M. Fattani, (2007) “A Novel Arabic Text Steganography Method Using Letter Points and Extensions“, International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol: 1, No: 3.

[3] M. S. Shahreza and M. H. Shahreza, (2008) “An Improved Version of Persian/Arabic Text Steganography Using “La” Word”, Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysian conference on Photonics, 26-27 August, Putrajaya, Malaysia, pp: 372-376.

[4] A. Al-Nazer, A. Gutub, (2009) “Exploit Kashida Adding to Arabic E-Text for High Capacity Steganography”, Proceedings of Third IEEE International Conference on Network and System Security, Pages: 447-451. DOI: 10.1109/NSS.2009.21.

[5] F. Al-Haidari, A. Gutub, K. Al-Kahsah, and J. Hamodi, (2009) “Improving Security and Capacity for Arabic Text Steganography Using ‘Kashida’ Extensions”, Proceedings of IEEE/ACS International Conference on Computer Systems and Applications.pp: 396-399.DOI: 10.1109/AICCSA.2009.5069355

[6] A. Gutub, F. Al-Haidari, K. Al-Kahsah, and J. Hamodi, (2010) “E-Text Watermarking: Utilizing ‘Kashida’ Extensions in Arabic Language Electronic Writing“, Journal of Emerging Technologies in Web Intelligence, Vol. 2, No. 1, Pages: 48-55. DOI: 10.4304/jetwi.2.1.48-55.

[7] A. Gutub, W. Al-Alwani, and A. Bin Mahfoodh, (2010) “Improved Method of Arabic Text Steganography Using the Extension ‘Kashida’ Character“, Bahria University Journal of Information & Communication Technology Vol. 3, Issue 1, pp: 68-72.

[8] A. Odeh and K. Elleithy, (2012) “Steganography in Arabic Text Using Zero Width and Kashidha Letters“, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 4, Pages: 1-11. DOI: 10.5121/ijcsit.2012.4301.

[9] Y. M. Alginahi, M. N. Kabir and O. Tayan, (2013) “An Enhanced Kashida-Based Watermarking Approach for Increased Protection in Arabic Text-Documents“, Proceedings of International Conference on Electronics, Computer and Computation (ICECCO). DOI: 10.1109/ICECCO.2013.6718288

[10] A. Odeh, K. Elleithy and M. Faezipour, (2013) “Steganography in Arabic Text Using Kashida Variation Algorithm (KVA)”, Proceedings of the 2013 IEEE Systems, Applications and Technology Conference (LISAT). DOI: 10.1109/LISAT.2013.6578239.

[11] Mersal, S., Alhazmi S., R. Alamoudi and N. Almuzaini, (2014) “Arabic Text Steganography in Smartphone“, International Journal of Computer and Information Technology (ISSN: 2279 – 0764), Vol. 03, No. 02, pp. 441-445. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 2, April 2017 112

[12]Y. Alginahi, M. Kabir and O. Tayan, (2014) “An Enhanced Kashida-Based Watermarking Approach for Increased Protection in Arabic Text- Documents Based on Frequency Recurrence of Characters“, International Journal of Computer and Electrical Engineering, Vol.6, No. 5. DOI: 10.177706/ijcee.2014.v6.857.

[13] B. Osman, R. Din and M. R. Idrus, (2015) “Capacity Performance of Steganography Method in Text Based Domain“, ARPN Journal of Engineering and Applied Sciences, Vol. 10, No.3.http://repo.uum.edu.my/id/eprint/14832.

[14] R. Saluja, K. Kanwal and S. Dahyia, (2014) “Review on Steganography for Hiding Data”, International Journal of Computer Science and Mobile Computing, Vol.3 No. 4, pp: 225-229. ISSN 2320–088X.

[15] R. Jabri and B. Ibrahim, (2016) “Capacity Improved Arabic Text Steganography Technique Utilizing ‘Kashida’ with Whitespaces“, Proceedings of the Third International Conference on Mathematical Sciences and Computer Engineering (ICMSCE2016), pp: 38-44, Langkawi, Malaysia.

                                                    Citation Count – 3

Image Encryption Techniques Using Fractal Function: A Review

Shafali Agarwal

¹Department of Computer Applications, JSS Academy of Technical Education, Noida, India

ABSTRACT

An increasing demand of secure data transmission over internet leads to the challenge of implementing a consistent cryptosystem. In 2004, USA navy published the patent which highlights the importance of fractal as an encryption/decryption key in a cryptosystem [1]. Fractal possess butterfly effect i.e. sensitivity to initial condition, due to which small change in input produces a major change in output. This paper summarizes the various recent image encryption techniques in which fractal key is used to encrypt/decrypt followed by substitution, scrambling and diffusion techniques to provide strong cryptosystem. The algorithms covered both private key encryption as well as public key encryption technique in the paper. The analysed algorithms include a set of fractal function such as Mandelbrot set, Julia set, Hilbert curve, 3D fractal, multi-fractal, IFS and chaotic function to generate a complex key used in the encryption process. Corresponding performance of each algorithm is analysed by PSNR test, key space, sensitivity analysis and correlation coefficient value between the adjacent pixels of both images (Original image and encrypted image) which shows significant improvement in performance over the traditional encryption methods.

KEYWORDS

Image Encryption, fractal, chaotic function, Scrambling, NIST test suite

For More Details :  http://aircconline.com/ijcsit/V9N2/9217ijcsit05.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

[1] Huntress G. B., 2004“Encryption using Fractal Key”, United States Patent 6782101.

[2] Khan M. & Shah T., 2014“A Literature Review on Image Encryption Techniques”, © 3D Research Centre Kwangwoon University and Springer-Verlag Berlin Heidelberg, 5(4), DOI 10.1007/s13319- 014-0029-0, Page 1.

[3] Abed F. S., 2011 “A New Approach to Encoding and Hiding Information in an Image”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 3, ISSN (Online): 1694-0814.

[4] Sun Y, Chen L, Xu R, Kong R, 2014“An Image Encryption Algorithm Utilizing Julia Sets and Hilbert Curves”. PLoS ONE, 9(1): e84655. doi:10.1371/journal.pone.0084655

.[5] Zhang Q., Zhou S. and Wei X.,2011 “An Efficient Approach for DNA Fractal-based Image Encryption”, Applied Mathematics & Information Sciences, 5(3), pp 445-459.

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[28] Nadia M. G. AL-Saidi and Said M. R. M., 2010 “A New Public Key Cryptosystem Based on IFS”,  International Journal of Cryptology Research, 2(1): pp 1-13.

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[32] Hala B. Wahab A., Sarab S. A., 2013 “Modify Symmetric Block Cipher Algorithm Using Generated Digital 3D Fractal Image”, Iraqi Journal of Science, Vol 54, No.4, pp: 955-964.

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[35] Sattari S., Akkasi A., Lari R. A., et al., 2015“Cryptography in social networks using wavelet transform, fractals and chaotic functions”, International Research Journal of Applied and Basic Sciences, Science Explorer Publications, ISSN 2251-838X / Vol, 9 (9): 1627-1635.

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[37] Ali M. Meligy, HossamDiab, Marwa S. El-Danaf,2016“Chaos Encryption Algorithm using Key Generation from Biometric Images”, International Journal of Computer Applications (0975 – 8887) Volume 149 – No.11.

[38] Wang W., Tan H., Pang Y., Li Z., Ran P. and Wu J.,2016 “A Novel Encryption Algorithm Based on DWT and Multichaos Mapping”, Hindawi Publishing Corporation Journal of Sensors Volume Article ID 2646205, 7 pages,http://dx.doi.org/10.1155/2016/2646205.

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Citation Count – 2

Usability Testing Of Fitness Mobile Application: Case Study Aded Surat App

 Ryan Alturki and Valerie Gay

School of Electrical and Data Engineering, University of Technology Sydney, Sydney City, Australia

ABSTRACT

Obesity is a major health problem around the world. Saudi Arabia is a nation where obesity is increasing at an alarming rate. Mobile apps could help obese individuals but they need to be usable and personalized to be adopted by those users. This paper aims at testing the usability of a fitness mobile app” Aded Surat”, an app in Arabic language. This paper presents an extensive literature review on the attributes that improve the usability of fitness apps. Then, it explains our methodology and our set up of a trial to test the usability of Aded Surat app that is popular in Saudi Arabia. The usability attributes tested are effectiveness, efficiency, satisfaction, memorability, errors, learnability and cognitive load. The trial is done in collaboration with participants from the Armed Forces Hospitals – Taif Region in Saudi Arabia. The results highlight that the app failed to meet with the usability attributes.

KEYWORDS

Usability, Mobile Application, Obesity, User Experience

For More Details :  http://aircconline.com/ijcsit/V9N5/9517ijcsit09.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

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[52] R. Alturki and V. Gay, “USABILITY TESTING OF FITNESS MOBILE APPLICATION: METHODOLOGY AND QUANTITATIVE RESULTS,” presented at the 7th International Conference on Computer Science, Engineering & Applications (ICCSEA 2017), Copenhagen, Denmark, 2017.

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Citation Count – 2

Syntax And Semantics For Cinnamon Programming

Kostadin Kratchanov

Department of Software Engineering, Yaşar University, Izmir, Turkey

ABSTRACT

Cinnamons are a new computation model intended to form a theoretical foundation for Control Network Programming (CNP). CNP has established itself as a programming approach combining declarative and imperative features. It supports powerful tools for control of the computation process; in particular, these tools allow easy, intuitive, visual development of heuristic, nondeterministic, or randomized solutions. The paper providesrigorous definitions of the syntax and semantics of the new model of computation, at the same time trying to keep the intuition behind clear. The purposely simplified theoretical model is then compared to both WHILE-programs (thus demonstrating its Turing completeness), and the “real” CNP. Finally, future research possibilities are mentioned that would eventually extend the cinnamon programming and its theoretical foundation into the directions of nondeterminism, randomness and fuzziness.

KEYWORDS

Control network programming, CNP, Programming languages, Programming paradigms, Computation models, While programs, Theoretical computer science, Recursive automata, Non-determinism, Semantics.

For More Details :  http://aircconline.com/ijcsit/V9N5/9517ijcsit10.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

[1] K. Kratchanov (2017), Cinnamons: A Computational Model Underlying Control Network Programming. In: Computer Science and Information Technology, v. 73, 7th Intl Conf. on Computer Science, Engineering & Applications (ICCSEA 2017), Copenhagen, Denmark (N. Meghanathan & D. Wyld – eds.), AIRCC Publ. Co., pp. 1-20. (http://airccj.org/CSCP/vol7/csit77301.pdf)

[2] K. Kratchanov, E.Golemanova and T. Golemanov (2008),“Control Network Programming Illustrated: Solving Problems With Inherent Graph-Like Structure”, In: Proc. 7th IEEE/ACIS Int. Conf. on Computer and Information Science (ICIS 2008), May 2008, Portland, Oregon, USA, 453-459.

[3] K. Kratchanov, E. Golemanova and T. Golemanov (2009),“Control Network Programs and Their Execution”, In: Proc. 8thWSEAS Int. Conf. on AI, Knowledge Engineering & Data Bases (AIKED ’09), Feb 2009, Cambridge, UK, 417-422.

[4] K. Kratchanov, E. Golemanova, T. Golemanov and Y. Gökçen (2012),“Implementing Search Strategies in Winspider II: Declarative, Procedural, and Hybrid Approaches”, In: I. Stanev and K. Grigorova (eds.): Knowledge-Based Automated Software Engineering, Cambridge Scholars Publ., 115-135.

[5] E. Golemanova (2013),“Declarative Implementations of Search Strategies for Solving CSPs in Control Network Programming”, WSEAS Transactions on Computers, 12 (4), 174-183.

[6] K. Kratchanov, T. Golemanov, B. Yüksel and E. Golemanova (2014),“Control network programming development environments”,WSEAS Transactions on Computers, 13, 645-659.

[7] T. Golemanov (2012), “SpiderSNP: An Integrated Environment for Visual Control Network Programming”, Annals of Ruse University, 51, ser. 3.2, 123-127 (in Bulgarian).

[8] T. Golemanov (2014), Development and Study of an Integrated Development Environment for Control Network Programming, Ph.D. Dissertation, Ruse Univ.

[9] K. Kratchanov, B. Yüksel, T. Golemanov, and E. Golemanova (2014), Learning Control Network Programming withthe Bouquet Cloud Compiler. In: Recent Advances in Educational Technologies and Education, Proc. 2014 Intl. Conf. on Educational Technologies and Education (ETE 2014), Interlaken, Switzerland, February 22-24, 2014, 29-36. Also: http://www.inase.org/library/2014/interlaken/bypaper/EDU/EDU-02.pdf

[10] K.Kratchanov, T.Golemanov and E.Golemanova (2009). “Control Network Programming: Static Search Control with System Options”, In: Proc. 8thWSEAS Int. Conf. on AI, Knowledge Engineering & Data Bases (AIKED ’09), Feb 2009, Cambridge, UK, 423-428.

[11] K.Kratchanov, T.GolemanovE.Golemanova and T.Ercan (2010),“Control Network Programming with SPIDER: Dynamic Search Control”, In: Knowledge-Based and Intelligent Information and Engineering Systems, Proc. 14thIntl. Conf. (KES 2010), Cardiff, UK, Sep 2010, Part II, Lect. Notes in Computer Science (Lect. Notes in Artificial Intelligence), v.6277, Springer, 253-262.

[12] N. Jones (1997), Computability and Complexity from a Programming Perspective, MIT Press.

[13] A. Kfoury, R. Moll and M. Arbib (1982, reprints 2011, 2013), A Programming Approach to Computability, Springer.

[14] M. Fitting (1987), Computability Theory, Semantics, and Logic Programming, Oxford Univ. Press.

[15] C. Moore and S. Martens (2011), The Nature of Computation, Oxford Univ. Press.

[16] K. Slonneger and B. Kurtz (1995), Formal Syntax and Semantics of Programming Languages: A Laboratory Based Approach, Addison-Wesley.

[17] O. Goldreich (2010), P, NP, and NP-Completeness: The Basics of Computational Complexity, Cambridge Univ. Press.

[18] D. Kozen (2006), Theory of Computation, Springer.

[19] W. Woods (1970), “Transition Network Grammars of Natural Language Analysis”, Comm. Of the ACM, 13, 591-606.

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[23] K. Gough (1988), Syntax Analysis and Software Tools, Addison-Wesley.

[24] R. Alur, M. Benedikt, K. Etessami, P. Godefroid, T. Reps, and M. Yannakakis (2005), “Analysis of recursive state machines”,ACM Trans. on Programming Languages and Systems, 27(4):786–818.

[25] I. Tellier (2006), “Learning Recursive Automata from Positive Examples”, RSTI – RIA – 20(2006) New Methods in Machine Learning, 775-804.

[26] S. Chaudhuri (2008), “Subcubic Algorithms for Recursive State Machines”,https://www.cs.rice.edu/~sc40/pubs/popl08.pdf.

[27] S. LaValle (2009), “Recursive Automata”, https://courses.engr.illinois.edu/cs373/fa2009/recaut.pdf.

[28] K.Kratchanov, E.Golemanova, T.Golemanov and T,Ercan (2010), “Non-Procedural Implementation of Local Heuristic Search in Control Network Programming”, In: Knowledge-Based and Intelligent Information and Engineering Systems, Proc. 14thIntl. Conf. (KES 2010), Cardiff, UK, Sep 2010, PartII, Lect. Notes in Computer Science (Lect. Notes in Artificial Intelligence), v.6277, Springer, 263- 272.

[29] K. Kratchanov, E. Golemanova, T. Golemanov and B. Külahçıoğlu (2012), “Using Control Network Programming in Teaching Nondeterminism”, In: Proc. 13thInt. Conf. on Computer Systems and Technologies (CompSysTech’12), Ruse, (B. Rachev, A. Smrikarov – eds.), ACM Press, New York, 391-398.

[30] K. Kratchanov, E. Golemanova, T. Golemanov and B. Külahçıoğlu (2012),“Using Control Network Programming in Teaching Randomization”, In: Proc. Int. Conf. Electronics, Information and Communication Engineering, Macau (EICE 2012), ASME, 67-71.

[31] E. Dijkstra (1975),“Guarded Commands, Nondeterminacy and Formal Derivations of Programs”, Comm. of the ACM, 18, 453-457. Also: E. Dijkstra. “Guarded Commands. Non-Determinacy and a Calculus for the Derivation of Programs” (EWD418), 1974

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[32] G. Mascari and M. Zilli (1985),“While Programs with Nondeterministic Assignments and the Logic ALNA”,Theoretical Computer Science, 40, 211-235.

[33] J. van Leeuwen (Ed.) (1990, 1992), Handbook of Theoretical Computer Science, v. B: Formal Models and Semantics. Elsevier and MIT Press.

[34] K. Apt, F, de Boer, E. Olderog (2010), Verification of Sequential and Concurrent Programs, 3rd ed., Springer.

[35] K. Mamouras (2015),“Synthesis of Strategies and the Hoare Logic of Angelic Nondeterminism”, In: Foundations of Software Science and Computation Structures. 18thInt. Conf. FOSSACS 2015 Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015, London, 11-18 Apr 2015, Proc. LNCS 9034, Springer 2015 (A. Pitts – ed.), 25-40.

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[39] K. Kratchanov (1985), Towards the Fundamentals of Fuzzy Rule-Based Systems, CSTR 35/85, Dept. Comp. Sci., Brunel Univ., Uxbridge, UK

Citation Count – 2

A Systematic Mapping Study On Current Research Topics In Smart Contracts

Maher Alharby^1,2 and Aad van Moorsel¹

¹School of Computing Science, Newcastle University, Newcastle, UK 

²College of Computer Science and Engineering, Taibah University, Medina, KSA

ABSTRACT

An appealing feature of blockchain technology is smart contracts. A smart contract is executable code that runs on top of the blockchain to facilitate, execute and enforce an agreement between untrusted parties without the involvement of a trusted third party. In this paper, we conduct a systematic mapping study to collect all research that is relevant to smart contracts from a technical perspective. The aim of doing so is to identify current research topics and open challenges for future studies in smart contract research. We extract 24 papers from different scientific databases. The results show that about two thirds of the papers focus on identifying and tackling smart contract issues. Four key issues are identified, namely, codifying, security, privacy and performance issues. The rest of the papers focuses on smart contract applications or other smart contract related topics. Research gaps that need to be addressed in future studies are provided.

KEYWORDS

Blockchain, Smart contracts, Systematic mapping study, Survey

For More Details :  http://aircconline.com/ijcsit/V9N5/9517ijcsit11.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

[1] V. Buterin, “A next-generation smart contract and decentralized application platform.,” Available online at: https://github.com/ethereum/wiki/wiki/White-Paper/[Accessed 19/02/2017].

[2] K. Petersen, R. Feldt, S. Mujtaba, and M. Mattsson, “Systematic mapping studies in software engineering,” in Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, EASE’08, pp. 68-77, BCS Learning & Development Ltd., 2008.

[3] S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” 2008.

[4] X. Xu, C. Pautasso, L. Zhu, V. Gramoli, A. Ponomarev, A. B. Tran, and S. Chen, “The blockchain as a software connector,” in 2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), pp. 182-191, IEEE, 2016.

[5] V. Buterin, “On public and private blockchains,” Available online at: https://blog.ethereum.org/2015/08/07/on-public-and-private-blockchains/ [Accessed 01/03/2017].

[6] N.Szabo, “Formalizing and securing relationships on public networks.,” Available online at: http://rstmonday.org/ojs/index.php/fm/article/view/548/4691[Accessed 15/02/2017].

[7] J. Stark, “Making sense of blockchain smart contracts,” Available online at:

http://www.coindesk.com/making-sense-smart-contracts/ [Ac-cessed 06/03/2017].

[8] K. Delmolino, M. Arnett, A. Kosba, A. Miller, and E. Shi, “Step by step towards creating a safe smart contract: Lessons and insights from a cryptocurrency lab,” in International Conference on Financial Cryptography and Data Security, pp. 79-94, Springer, 2016.

[9] V. Morabito, “Smart contracts and licensing,” in Business Innovation Through Blockchain, pp. 101- 124, Springer, 2017.

[10] A. Lewis, ”A gentle introduction to smart contracts,” Available online at:

https://bitsonblocks.net/2016/02/01/a-gentle-introduction-to-smart-contracts/

[Accessed 25/02/2017].

[11] G. Wood, “Ethereum: A secure decentralised generalised transaction ledger,” Ethereum Project Yellow Paper, 2014.

[12] K. Christidis and M. Devetsikiotis, “Blockchains and smart contracts for the internet of things,” IEEE Access, vol. 4, pp. 2292-2303, 2016.

[13] W. Egbertsen, G. Hardeman, M. van den Hoven, G. van der Kolk, and A. van Rijsewijk, “Replacing paper contracts with ethereum smart contracts,” 2016.

[14] W. Banasik, S. Dziembowski, and D. Malinowski, “Efficient zero-knowledge contingent payments in cryptocurrencies without scripts,” in European Symposium on Research in Computer Security, pp. 261-280, Springer, 2016.

[15] J. Yli-Huumo, D. Ko, S. Choi, S. Park, and K. Smolander, “Where is current research on blockchain technology?|a systematic review,” PloS one, vol. 11, no. 10, p. e0163477, 2016.

[16] K. Bhargavan, A. Delignat-Lavaud, C. Fournet, A. Gollamudi, G. Gonthier, N. Kobeissi, N. Kulatova, A. Rastogi, T. Sibut-Pinote, N. Swamy, et al., “Formal verification of smart contracts: Short paper,” in Proceedings of the 2016 ACM Workshop on Programming Languages and Analysis for Security, pp. 91-96, ACM, 2016.

[17] G. Bigi, A. Bracciali, G. Meacci, and E. Tuosto, “Validation of decentralised smart contracts through game theory and formal methods,” in Programming Languages with Applications to Biology and Security, pp. 142-161, Springer, 2015.

[18] C. K. Frantz and M. Nowostawski, “From institutions to code: Towards automated generation of smart contracts,” in 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), pp. 210-215, IEEE, 2016.

[19] B. Marino and A. Juels, “Setting standards for altering and undoing smart contracts,” in International Symposium on Rules and Rule Markup Languages for the Semantic Web, pp. 151-166, Springer, 2016.

[20] T. Chen, X. Li, X. Luo, and X. Zhang, “Under-optimized smart contracts devour your money,” in 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 442-446, IEEE, 2017.

[21] F. Idelberger, G. Governatori, R. Riveret, and G. Sartor, “Evaluation of logic-based smart contracts for blockchain systems,” in International Symposium on Rules and Rule Markup Languages for the Semantic Web,167-183, Springer, 2016.

[22] C. Natoli and V. Gramoli, “The blockchain anomaly,” in 15th International Symposium on Network Computing and Applications (NCA), 310-317, IEEE, 2016.

[23] L. Luu, D.-H. Chu, H. Olickel, P. Saxena, and A. Hobor, “Making smart contracts smarter,” in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, CCS ’16, pp. 254-269, ACM, 2016.

[24] A. Juels, A. Kosba, and E. Shi, “The ring of gyges: Investigating the future of criminal smart contracts,” in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, CCS ’16, pp. 283-295, ACM, 2016.

[25] F. Zhang, E. Cecchetti, K. Croman, A. Juels, and E. Shi, “Town crier: An authenticated data feed for smart contracts,” in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, CCS ’16, pp. 270-282, ACM, 2016.

[26] A. Kosba, A. Miller, E. Shi, Z. Wen, and C. Papamanthou, “Hawk: The blockchain model of cryptography and privacy-preserving smart contracts,” in 2016 IEEE Symposium on Security and Privacy (SP),839-858, IEEE, 2016.

[27] H. Watanabe, S. Fujimura, A. Nakadaira, Y. Miyazaki, A. Akutsu, and J. J. Kishigami, “Blockchain contract: A complete consensus using blockchain,” in 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), pp. 577-578, IEEE, 2015.

[28] M. Vukolić, “Rethinking permissioned blockchains,” in Proceedings of the ACM Workshop on Blockchain, Cryptocurrencies and Contracts, BCC ’17, pp. 3-7, ACM, 2017.

[29] N. Atzei, M. Bartoletti, and T. Cimoli, “A survey of attacks on ethereum smart contracts (sok),” in International Conference on Principles of Security and Trust, pp. 164-186, Springer, 2017.

[30] A. Bogner, M. Chanson, and A. Meeuw, “A decentralised sharing app running a smart contract on the ethereum blockchain,” in Proceedings of the 6th International Conference on the Internet of Things, pp. 177-178, ACM, 2016.

[31] M. Al-Bassam, “Scpki: A smart contract-based pki and identity system,” in Proceedings of the ACM Workshop on Blockchain, Cryptocurrencies and Contracts, BCC ’17, pp. 35-40, ACM, 2017.

[32] S. Huh, S. Cho, and S. Kim, “Managing IoT devices using blockchain platform,” in 2017 19^th International Conference on Advanced Communication Technology (ICACT), pp. 464-467, IEEE, 2017.

[33] P. N. Carrillo, C. I. Peña, and J. L. d. L. Rosa, “Eurakos next: a cryptocurrency based on smart contracts,” in Ebook: Artificial Intelligence Research and Development, vol. 288 of Frontiers in Artificial Intelligence and Applications, pp. 221-226, 2016.

[34] H. Watanabe, S. Fujimura, A. Nakadaira, Y. Miyazaki, A. Akutsu, and J. Kishigami, “Blockchain contract: Securing a blockchain applied to smart contracts,” in 2016 IEEE International Conference on Consumer Electronics (ICCE), pp. 467-468, IEEE, 2016.

[35] A. Third and J. Domingue, “Linked data indexing of distributed ledgers,” in Proceedings of the 26^th International Conference on World Wide Web Companion, WWW ’17 Companion, pp. 1431-1436, 2017.

 Citation Count – 12

Environmental Monitoring And Controlling System For Mushroom Farm With Online Interface

Arjuna Marzuki and Soh Yan Ying

School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

ABSTRACT

Agriculture sensors play an important role in modern agriculture. The use of sensors in various agriculture sectors minimizes the environmental impact on crops, helps in increasing yield and saving cost of operation. Among all agriculture industries in Malaysia, the mushroom industry is a comparatively new and small. As most of the mushroom farms in Malaysia are small-scaled, their production capability is limited by inadequate environmental control system and the lack of financial resources to upgrade the systems. This paper presents an environmental monitoring and controlling system to monitor and control the environmental conditions in a mushroom farm. It enables user to monitor temperature, humidity, carbon dioxide concentration and light intensity in a mushroom farm on an android device by using Thing Speak online platform. The control algorithm is able to control devices in a mushroom farm automatically based on feedback from the sensors to maintain the environment in an optimum condition for mushroom growth. The measured percentage error of temperature, humidity, carbon dioxide and the light using the developed system was as low as 0.4%, 1.5%, 2.2% and 1.34% respectively.

KEYWORDS

Agriculture, Interface Circuit, Internet of Things, Monitoring and Control, Sensor, Wireless.

For More Details :  http://aircconline.com/ijcsit/V9N4/9417ijcsit02.pdf

Volume Link:  http://airccse.org/journal/ijcsit2017_curr.html

REFERENCES

[1] Unit Pengurusan Prestasi dan Pelaksanaan (2010) Economic Transformation Programme: A Roadmap for Malaysia (1 Malaysia). Performance Management and Delivery Unit, Jabatan Perdana Menteri.

[2] Istikoma Qurat-ul-Ain., & Dahlan A. R. A, (2015) “The Transformation of Agriculture Based Economy to an Industrial Sector through Crowd Sourcing In Malaysia”, Int. J. Comput. Sci. Inf. Technol. Res., Vol. 3, No. 1, pp.34–41.

[3] Bakar B.B., (2009) “The Malaysian Agricultural Industry in the New Millennium – Issues and Challenges,” pp. 337–356.

[4] Rosmiza M., Davies W., Aznie R. C., Jabil M., & Mazdi M, (2016) “Prospects for Increasing Commercial Mushroom Production in Malaysia: Challenges and Opportunities”, Mediterr. J. Soc. Sci., Vol. 7, No. 1, pp. 406–415.

[5] Haimid M. T., Rahim H., & Dardak R. A, (2013) “Understanding the mushroom industry and its marketing strategies for fresh produce in Malaysia”, Econ. Technol. Manag. Rev., Vol. 8, pp. 27– 37.

[6] Mat Amin M. Z., & Harun A, (2015) “Competitiveness of the Mushroom Industry in Malaysia” [Online]. Available: http://ap.fftc.agnet.org/ap_db.php?id=481&print=1. [Accessed: 18-Oct-2016].

[7] Australian Mushroom Growers Association, “Introduction to Mushroom Growing,” AMGA, pp. 1- 16.

[8] Van Nieuwenhuijzen, Bram., & Oei, P (2005) Small-scale mushroom cultivation oyster, shiitake and wood ear mushrooms, Agrodok;40. Agromisa/CTA, Wageningen, The Netherlands.

[9] Stamets P., & Chilton, J. S, (1983) “The Mushroom Cultivator: A Practical Guide to Growing Mushrooms at Home”, S. Cal. L. Rev., p. 416

.[10] Grant, J.J (2002) An investigation of the airflow in mushroom growing structures, the development of an improved, three-dimensional solution technique for fluid flow and its evaluation for the modelling of mushroom growing structures. PhD thesis, Dublin City University.

[11] Kwon H., & Kim, B. S (2004) Mushroom Grow. Handb. 1, pp. 192–196.

[12] Tisdale T. E (2004) Cultivation of the Oyster Mushroom (Pleurotussp.) on Wood Substrates in Hawaii. MSc thesis, University of Hawai’i.

[13] Wang X., (2014) “Temperature and Humidity Monitoring System Based on GSM Module”, International Journal of Computer, Consumer and Control., Vol. 3, No. 1, pp. 41–49.

[14] Rahali A., Guerbaoui M., Ed-dahhak A., El Afou Y., Tannouche A., Lachhab A., & Bouchikhi, B, (2011) “Development of a data acquisition and greenhouse control system based on GSM”, Int. J.Eng. Sci. Technol., Vol. 3, No. 8, pp. 297–306.

[15] Kalinin Y. S., Velikov E. K., & Markova, V. I, (2015) “Design of Indoor Environment Monitoring System Using Arduino”, Int. J. Innov. Sci. Mod. Eng., Vol. 3, No. 7, pp. 46–49, 20.

[16] Lokesh Krishna K., Madhuri J., & Anuradha K, (2016) “A ZigBee based Energy Efficient Environmental Monitoring Alerting and Controlling System”, in International Conference On Information Communication And Embedded Systems (ICICES2016).

 

 

 

 

 

 

 

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