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i-manager's Journal on Digital Signal Processing (JDP)

Current Issue Vol. 11 Issue 2

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Volume 6 Issue 2 April - June 2018

Research Paper

A Simulation Model for Cardless Automated Teller Machine Transactions

O. S. Adewale* , J. O. Mebawondu, O. J. Mebawondu*, M. N. Suleiman****

* Professor, Department of Computer Science, School of Computing, Federal University of Technology (FUTA), Akure, Nigeria.

Principal and Lecturer, Federal Polytechnic, Nasarawa, Nasarawa State, Nigeria.

* Senior Lecturer, Department of Computer Science, School of Information Technology, Federal Polytechnic, Nasarawa State, Nigeria.

**** Lecturer, Federal Polytechnic, Nasarawa, Nasarawa State, Nigeria.

Adewale, O. S., Mebawondu, J. O., Suleimano, M. N., & Mebawondu, J. (2018). A Simulation Model For Cardless Automated Teller Machine Transactions. i-manager's Journal on Digital Signal Processing, 6(2), 1-8. https://doi.org/10.26634/jdp.6.2.15588

Abstract

Cardless automated teller machine (CATM) is an electronic gadget that empowers the bank’s clients to perform monetary transactions such as dispensing cash to their clients, pay bills and transfer of money. The customary approach of an ATM utilizes the use of debit card for its transactions have its limitation. The challenges in utilizing such system are extortion, security and high probability of users forgetting their passwords. In this work, we propose a straightforward paradigm called CATM. The proposed CATM model used a five tuple finite machine. In the proposed platform a thumb print (Biometric) framework is utilized. The platform will improve services to clients, also secure, effective and efficient systems will be achieved.

References

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[2]. Betab, G., & Sandhu, R. K. (2014). Fingerprints in Automated Teller Machine-A survey. International Journal of Engineering and Advanced Technology (IJEAT), 3(4), 183-186.

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[4]. Dutta, M., Psyche, K. K., & Yasmin, S. (2017). ATM transaction security using fingerprint recognition. American Journal of Engineering Research, 6(8), 41 -45.

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[6]. Hegde, N., & Sharath, K. R. (2016). Card less ATM Cash Withdrawal: A simple and Alternate Approach. International Journal of Computer Science and Information Technologies, 7(1), 126-128.

[7]. Krishnamurthy, P., & Redddy, M. M. (2012). Implementation of ATM security by using fingerprint recognition and GSM. International Journal of Electronics Communication and Computer Engineering, 3(1), 83-86.

[8]. Mumin, Y. A., Ustarz, Y., & Yakubu, I. (2014). Automated Teller Machine (ATM) operation features and usage in Ghana: Implications for managerial decisions. Journal of Business Administration and Education, 5(2), 137-157.

[9]. Odusina, A. O. (2014). Automated Teller Machine usage And customers' satisfaction. In Nigeria Elite Research Journal of Accounting and Business Management, 2(3), 43-47.

[10]. Pranav. P., & Dawande, T. (2016). ATM transaction with debit card. International Journal of Advanced Resear in Computer and Communication Engineering, 5(7), 258-261.

[11]. Prettam, N., & Gupta, H. (2014). Cardless cash access using biometric ATM security system. International Journal of Enhanced Research in Science Technology and Engineering, 3(11), 13-17.

[12]. Snellman. H. (2006). Automated Teller Machine Network Market Structure and Cash Usage. Scientific Monographs.

[13]. Sunehra, D. (2014). Fingerprint based biometric ATM authentication system. International Journal of Engineering Inventions, 3(11), 22-28.

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Research Paper

Infant Cry Recognition System using Autoregressive Model Coefficients

S. R. Fatimah* , A. M. Aibinu**

* Department of Electrical Engineering, Nile University of Nigeria, Abuja, Nigeria.

** Department of Mechatronics Engineering, Federal University of Technology, Minna, Nigeria.

Fatimah, S. R., & Aibinu, A. M. (2018). Infant Cry Recognition System using Autoregressive Model Coefficients. i-manager's Journal on Digital Signal Processing, 6(2), 9-16. https://doi.org/10.26634/jdp.6.2.15591

Abstract

Understanding infants’ needs through crying is a skill acquired by health care givers as well as parents from training and experiences. However, errors may evolve due to variations in judgment and limitations on the human sensory system. Various approaches have been proposed to mimic the classical human based method which also tied results to system dominant errors. This work uses the Autoregressive (AR) model coefficient as features for recognizing infant cry. First, a dataset of infant cry consisting of Hunger, Pain and Normal cry was obtained. Each cry was framed and widowed with overlap to enable the processing of the rapidly changing cry signal. Then AR model coefficients (features) were extracted from the trained Artificial Neural Network (ANN). The extracted features were then used to train an Artificial Neural Network recognition system. The performance of this system was tested using three different activation functions, sampling frequencies and various threshold values. Results show the appropriateness of this new approach.

References

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[6]. Alaie, H. F., Abou-Abbas, L., & Tadj, C. (2016). Cry-based infant pathology classification using GMMs. Speech Communication, 77, 28-52.

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[9]. Bănică, I. A., Cucu, H., Buzo, A., Burileanu, D., & Burileanu, C. (2016, June). Automatic methods for infant cry classification. In Communications (COMM), 2016 International Conference on (pp. 51-54). IEEE.

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Research Paper

Adaptive Traffic Control System using Modified Round Robin and Genetic Algorithm

Nasir Mohammed Sadiq* , Oluwaseun Adeniyi Ojerinde, Solomon A. Adepoju*

*-*** Department of Computer Science, Federal University of Technology, Minna, Nigeria.

Sadiq, N. M., Ojerinde, O. A., & Adepoju, S. A. (2018). Adaptive Traffic Control System using Modified Round Robin and Genetic Algorithm. i-manager's Journal on Digital Signal Processing, 6(2), 17-23. https://doi.org/10.26634/jdp.6.2.15592

Abstract

Adaptive Traffic Control System (ATCS) serves as a main element in the constituents with which traffic control flow is achieved in fast developing, and developed urban areas. ATCS, however causes more delays on vehicles due to the fact that it is made up of intersecting points. Ensuring maximum efficiency at intersections has remained a challenge due to its dynamic nature of traffic. Additionally, a number of different methods that can be used to achieve higher performance at road traffic intersections have been recently proposed to engineers. In this study, a new and different method based on modified round robin scheduling algorithm through genetic algorithm technique to optimize the performance (in terms of timing) of a signalized intersection in one of the busiest and most crowded roads of Minna, Niger State – Nigeria (at Obasanjo shopping complex area). The technique uses an initial timing pattern to generate newer offspring (in terms of delay duration) to analyze cost function and to check if a global optimum is reached. This technique outweighs current techniques because the data upon which the nature of the system is built is relatively more phenomenal, as it puts into consideration the exact nature of the lane in many possible occurrences. In this work, a global optimum was reached at only a few number of iteration on the whole Genetic Algorithm process.

References

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Research Paper

Blockchain 3.0: Towards a Secure Ballotcoin Democracy through a Digitized Public Ledger in Developing Countries

E. M. Dogo* , N. I. Nwulu, O. M. Olaniyi, C. O. Aigbavboa, T. Nkonyana

,, Department of Electrical and Electronics Engineering Science, University of Johannesburg, South Africa.

* Department of Computer Engineering, Federal University of Technology Minna, Nigeria.

**** Department of Construction Management and Quantity Survey, University of Johannesburg, South Africa.

Dogo, E. M., Nwulu, N. I., Olaniyi, O. M., Aigbavboa, C. O., Nkonyana, T. (2018). Blockchain 3.0: Towards A Secure Ballotcoin Democracy Through A Digitized Public Ledger in Developing Countries. i-manager's Journal on Digital Signal Processing, 6(2), 24-35. https://doi.org/10.26634/jdp.6.2.15593

Abstract

This paper reviews scholarly articles on the application of blockchain technology for secure electronic voting (e-voting). Furthermore, the feasibility of using blockchain technology to replace the existing manual or semidigitized voting system in developing countries with Nigeria as a case study is performed. To analyse the current state and preparedness of adopting Blockchain Enabled E-voting (BEEV) system in Nigeria, this paper employs the qualitative SWOT (Strengths, Weaknesses, Opportunities and Threats) and PEST (Political, Economic, Social and Technological) analysis approach. This evaluation leads us to identify internal and external factors and the strategic direction in adopting BEEV in Nigeria. It is the authors’ opinion that this approach could also be tailored to evaluate situations of other developing countries.

References

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Research Paper

Privacy Preserving Classification over Encrypted Data Using Fully Homomorphic Encryption Technique

Abdullahi Monday Jubrin* , Victor Onomza Waziri, Muhammad Bashir Abdullahi*, Idris Ismaila****

, Department of Computer Science, Federal University of Technology, Minna, Nigeria, and Department of Computer Science, Veritas University, Abuja, Nigeria.

,**** Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.

Jubrin, A. M., Abdullahi, M. B., Waziri, V. O., Ismaila, I. (2018). Privacy Preserving Classification Over Encrypted Data using Fully Homomorphic Encryption Technique. i-manager's Journal on Digital Signal Processing, 6(2), 36-47. https://doi.org/10.26634/jdp.6.2.15590

Abstract

Applying Machine Learning to a problem which involves medical, financial, or other types of sensitive data needs careful attention in order to maintaining data privacy and security. This paper presents a model for privacy preserving classification and demonstrated that, by using a decision tree classifier, it is possible to perform a privacy preserving classification operation on an encrypted data residing on an untrusted server using the technique of Fully Homomorphic Encryption. First, the paper presented a model for the design and implementation of privacy preserving decision tree classifier over encrypted data. Also, Fully Homomorphic Encryption technique was used to secretly carry out classification on ciphertext using decision tree model built out of confidential medical data. The classifier was implemented using the SEAL homomorphic library and evaluation was done using encrypted medical datasets. The experimental results demonstrated high accuracy of the ciphertext classifier (when compared to the plaintext data equivalent) and efficiency (compared to other classifier on similar tasks). It takes less than 5 seconds (depending on the depth) to perform classification over an encrypted hepatitis feature vector dataset.

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i-manager's Journal on Digital Signal Processing (JDP)

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Privacy Preserving Classification over Encrypted Data Using Fully Homomorphic Encryption Technique

Abdullahi Monday Jubrin* , Victor Onomza Waziri**, Muhammad Bashir Abdullahi***, Idris Ismaila****

*,*** Department of Computer Science, Federal University of Technology, Minna, Nigeria, and Department of Computer Science, Veritas University, Abuja, Nigeria. **,**** Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.

Jubrin, A. M., Abdullahi, M. B., Waziri, V. O., Ismaila, I. (2018). Privacy Preserving Classification Over Encrypted Data using Fully Homomorphic Encryption Technique. i-manager's Journal on Digital Signal Processing, 6(2), 36-47. https://doi.org/10.26634/jdp.6.2.15590

Abstract

References

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Pdf

O. S. Adewale* , J. O. Mebawondu, O. J. Mebawondu*, M. N. Suleiman****

* Department of Electrical Engineering, Nile University of Nigeria, Abuja, Nigeria.

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Abdullahi Monday Jubrin* , Victor Onomza Waziri, Muhammad Bashir Abdullahi*, Idris Ismaila****

, Department of Computer Science, Federal University of Technology, Minna, Nigeria, and Department of Computer Science, Veritas University, Abuja, Nigeria.

,**** Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.