iosr-JCE   Volume-24 ~ Issue-2 ~ Mar. - Apr. 2022

Abstract: This study covers the design and development of a Database Driven Result Processing System for Isah Mustapha Agwai Polytechnic, Lafia. Several efforts made towards lessening the burden of result processing of the Polytechnic on the examination officer kept on failing with the constant use of a flat file system. Popular observation of the current flat file based system supports room for improvement. Hence, the introduction of a robust database driven result processing to the Polytechnic optimized the process. To accomplish this, preliminary investigations were carried to ascertain the functionality of the existing system. This process was carried out in selected Departments.......

Key Word: Driven, Result, Academic Board (AB), System, GPA

[1]. Abel U. O and Abu M. (2013). Data Analysis and Result Computation Algorithm for Tertiary Institutions. Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 14, Issue 3 PP 63-69. Internet :< www.jatit.org>. Accessed on 11/01/2022 www.iosrjournals.org
[2]. Davies, A.M. (2006). Objects, Functions and States in Digital Computing. Orient Press, U.S.A, pp 64.
[3]. Dada OlabisiMatemilayo, RajiAyodeleKamaldeen, Oyedepo Femi Samson (2017), "An Online Result Processing and Transcript Generation System: A Case Study of Kwara State Polytechnic," TETFund Sponsored Kwara State Polytechnic Journal of Research and Development Studies, Vol. 5. No. 1 June 2017.
[4]. Eludire, A.A. (2011).The Design and Implementation of Students' Academic Record Management System. Journal of Applied Sciences, Engineering and Technology
[5]. Hirtle, P.B (2008). Centralized Data Processing System. Yourdon Press, U.S.A, pp 86

Abstract: In data mining, association rule mining is a very popular and well-studied method to mine interesting relations among attributes in large databases. The evolution of various new application domains, such as bioinformatics and e-commerce, emphasis on analyzing high dimensional data has begun. Extracting the important relationships in data is a big challenge in the case of high-dimensional data. Interesting associations among dimensions based on frequent predicates are well studied, but research on associations among rare or infrequent dimensions is not much explored, there are applications like credit card fraud detection, network intrusion detection where rare associations among attributes trigger the system to discover fraudulent cases. In this paper, we are presenting an Eclat-based multi-dimensional rare association rule mining algorithm. As dimensions in the transactions may be categorical or numeric, the numeric attribute values are discretized using equal frequency binning. The proposed method is the first of its kind, has shown good performance.

Key Word: Association rules, rare itemsets, infrequent itemsets, multi dimensional association rules, Eclat, bitsets.

[1]. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases.In: Proceedings of 20th international conference on very large data bases (VLDB). VLDB, pp 487–499
[2]. Tsang, S., Koh, Y.S., Dobbie, G.: RP-Tree: Rare Pattern Tree Mining. In: Cuzzocrea, A., Dayal, U. (eds.) DaWaK 2011. LNCS, vol. 6862, pp. 277–288. Springer, Heidelberg (2011)
[3]. SunithaVanamala, L.Padma Sree, S.Durga Bhavani ,"Efficient rare association rule minig algorithm " Int. J. of Engineering Research and Applications (IJERA) , Vol. 3, Issue 3, pp.753-757 , 2013.
[4]. Sunitha Vanamala., Sree, L., & Bhavani, S. (2014). Rare association rule mining for data stream. International Conference on Computing and Communication Technologies, 1-6.
[5]. Manal Almuammar, Maria Fasli, "Learning Patterns from Imbalanced Evolving Data Streams", Big Data (Big Data) 2018 IEEE International Conference on, pp. 2048- 2057, 2018

Abstract: C-Aqua Irrigator refers to smart irrigation. It allows to reinvest for improving reliable, smarter and sustainable irrigation over time. The minimal wastage of water and the supply of controlled amount of water helps in the healthy growth of plants. The transition of manual process of irrigation to automated irrigation system with C-Aqua Irrigator provides an approach to use the sustainable resources judiciously. Considering the change in environmental factors like light, temperature, wind, soil moisture, humidity we can decide the right amount of water the crops requires. By recognizing the relation between the environmental factors and it's affects we can even estimate the productivity accordingly. The concept of using 'Internet of Things' makes the idea of E-Irrigation factual. The process of drawing connections between the Cloud storage and the setup helps us to store the data of farms and based on the data, we evaluate the actual need of water for the crops. The incomparable advantages of cloud storage have captured our choice of storage thereby providing strong infrastructure for the system to work efficiently and effectively. This paper focuses on a smart irrigation system which is cost effective and automatic.

Key Word: Arduino, microcontroller, morphological, resources, sensors, yield

[1]. V. Naga and R. Gunturi, "Micro Controller Based Automatic Plant Irrigation System," International Journal of Advancements in Research & Technology, vol. Volume 2, no. Issue 4, p. 5, April, 2013.
[2]. I. Lee and K. Lee, "The Internet of Things (IoT): Applications,investments, and challenges for enterprises," Bushor-1218, Elseiver, p. 10.
[3]. Y. A. Badamasi, "The Working Principle Of An Arduino," Academia, p. 5.
[4]. Chikankar, Pravina B., Deepak Mehetre, and Soumitra Das. "An automatic irrigation system using ZigBee in wireless sensor network." 2015 International Conference on Pervasive Computing (ICPC). IEEE, 2015
[5]. Taneja, Kriti, and Sanmeet Bhatia. "Automatic irrigation system using Arduino UNO." 2017 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2017.

Abstract: Attention deficit / hyperactivity disorder (ADHD) is a chronic disease that affects millions of children and often persists into adulthood. ADHD includes a combination of permanent problems such as difficulty in maintaining attention, hyperactivity, and impulsive behavior. A dangerous factor is that these children are often involved in learning disabilities that tend to cause frustration when they reach adulthood. This study presents an effective approach for early-stage ADHD identification by using functional magnetic resonance imaging data of the resting brain. The proposed methodology is based on a seed correlation that calculates the functional connectivity between seeds and all other voxels in the brain. Classification is performed using a convolutional neural network....

Keywords— ADHD, CNN, Impulsive behaviour, Anxiety

[1]. Taban Eslami , Fahad Almuqhim, Joseph S. Raiker and Fahad Saeed ,"Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey",20 January 2021
[2]. Behzad Iravani ,Artin Arshamian ,Peter Fransson and Neda Kaboodvand,"Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy" 1 May 2021
[3]. Mario Muñoz-Organero ,Lauren Powell, Ben Heller and Val Harpin Jack Parker,"Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images",14 November 2018
[4]. Laura Dubreuil-Vall, Giulio Ruffini, and Joan A. Camprodon,"Deep Learning Convolutional Neural Networks Discriminate Adult ADHD From Healthy Individuals on the Basis of Event-Related Spectral EEG ", 9 April 2021
[5]. Andrei A.Puiua Olga Wudarczykb, Katharina S.Goerlichbg, Mikhail Votinovbcd, Beate Herpertz-Dahlmannf, Bruce Turetskye, Kerstin Konrada.Aggression,"IMPULSIVE AGGRESSION AND RESPONSE INHIBITION IN ATTENTION-DEFICIT/ HYPERACTIVITY DISORDER AND DISRUPTIVE BEHAVIORAL DISORDERS.", July 2018.

Abstract: This paper covers segment of available solutions and methods as well as the advancements interoperability system technology that has been made within the area of concern that is cross-platform interoperability. The literature review focuses on previously used techniques to achieve sharing of resources between ICT systems. For decades, computer program development requires the utilization of measured useful components that perform a particular work in different places inside an application. As application integration and component-sharing operations got to be connected to pools of facilitating assets and conveyed databases, endeavors required a way to adjust their procedure-based improvement model to the use of inaccessible, conveyed components. The proposed system.....

Keywords: Distributed computing, cross-platform, inter-process communication, interoperability, message passing, procedure call, programming languages, remote procedure call, service-oriented architecture

[1]. George, T. Aphrodite, and P. Michael (2006.), "Interoperability among Heterogeneous Services," in Services Computing, SCC '06. IEEE International Conference on, pp. 174-181.
[2]. Gustavo A, Fabio Casati, Harumi Kuno and Vijay Machiraju (2004), Web Services: Concepts, Architectures, and Applications, Springer-Verlag Berlin Heidelberg
[3]. Grid Wise™ Architecture Council (2008), "Interoperability Context-Setting Framework".
[4]. Cox, D. E., and Kreger, H. (2005). "Management of the Service-Oriented-Architecture Life Cycle," IBM Systems Journal 44(4), 709-726.
[5]. Marks, E. A., and Bell, M. (2006). Service-Oriented Architecture: a Planning and Implementation Guide for Business and Technology, John Wiley & Sons, Hoboken, NJ

Abstract: Every year a large number of diabetic patients suffer from mild-to-severe vision impairment or become blind because of diabetic retinopathy (DR). Early detection and timely treatment of DR can prevent vision impairment even blindness. However, the number of ophthalmologists in any country is not big enough to confirm regular check-up of each diabetic patient. Therefore, developing systems to detect DR automatically draw huge research interests. Researchers quite often use digital color fundus photographs in their research works. We survey 27 papers published in SJR ranked Q1 and Q2 journals to investigate which colored fundus databases are used in last 25 years.

Keywords: Retina, Diabetic retinopathy, Colored fundus photographs, Automatic diabetic retinopathy detection, Retinal Database.

[1] H. Kolb, Simple Anatomy of the Retina, in: H. K. H, E. Fernandez, R. Nelson (Eds.), The Organization of the Retina and Visual System, Webvision, Salt Lake City (UT), 1995.
[2] S. C. Nemeth, C. Shea, M. DiSclafani, M. Schluter, The Posterior Segment, in: Ocular Anatomy and Physiology, 2nd Edition, Slack Incorporated, Thorofare, NJ, USA, 2008, Ch. 9, pp. 88–99.
[3] M. D. Abr`amoff, M. K. Garvin, M. Sonka, Retinal Imaging and Image Analysis, IEEE Reviews in Biomedical Engineering 3 (2010) 169–208.
[4] S. R. Flaxman, R. R. A. Bourne, S. Resnikoff, P. Ackland, T. Braithwaite, M. V. Cicinelli, A. Das, J. B. Jonas, J. Keeffe, J. H. Kempen, J. Leasher, H. Limburg, K. Naidoo, K. Pesudovs, A. Silvester, G. A. Steven, N. Tahhan, T. Y. Wong, H. R. Taylor, Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis, Elsevier Lancet Global Health 5 (6) (2017) 807–826. doi:10.1016/S2214-109X(17)30393-5

Abstract: The research surveyed the influence of Performance Expectancy and Effort Expectancy on the acceptance of e-learning by students of Federal University of Wukari (FUW). Two research questions were raised and two hypotheses were formulated and a mixed method research approach involving concurrent quantitative and qualitative data collection techniques was utilised. A simple random sampling technique was used to select three hundred and twenty-two (322) students. Data were obtained using a structured questionnaire and interview schedule. The instruments used for data collection were validated by experts in the field of Information Systems and Information Science. Collected data from the questionnaire were analysed using frequency distribution and Pearson Product Moment Correlation while interview responses.....

Keywords: Performance Expectancy, Effort Expectancy, Information and Communication Technology, Electronic learning, Federal University Wukari, Nigeria

[1]. Altalhi, M. M. (2021). Towards understanding the students' acceptance of MOOCs: a unified theory of acceptance and use of technology (UTAUT). International Journal of Emerging Technologies in Learning (IJET), 16(2), 237-253.
[2]. Azmi, N. (2017). The Benefits of Using ICT in the EFL Classroom: From Perceived Utility to Potential Challenges. Journal of Educational and Social Research, Vol. 7(1)
[3]. Carhill-Poza, A., and Williams, T. P. (2020). Learning "Anytime, Anywhere"? The Imperfect Alignment of Immigrant Students' Experiences and School-Based Technologies in an Urban US High School. Comparative Education Review, 64(3), 428-450.
[4]. Chemwei, B., Koech, S. J., and Lang'at, S. C. (2013). Assesment of ICT intergration into into instruction in Teachers educations institutions in kenya.
[5]. Chirwa, M. (2018). Access and use of internet in teaching and learning at two selected teachers' colleges in Tanzania. International Journal of Education and Development using ICT, 14(2).

Abstract: Machine translation (MT) is the process of text translation from one language to another using bilingual data sets and corresponding grammatical rules. The majority of Bangladeshi, particularly the distant villagers, cannot read or write English well. So, an efficient English to Bangla language translator can alleviate the inability. In this study, we proposed an English to Bangla MT system using rule based methodology. The proposed system works in three steps. The Scanner reads the input sentence, tokenizes words, checks spelling, populates information and stores the results. For spell checking, the scanner uses a database and word morphology technique of each word and finds lexical information from the dictionary. The Parser parses the input sentence to check syntactic correctness and then identifies its tense category and stores the results. The parser uses a rule based top-down parsing technique for this purpose. And finally, the Bangla Generator generates Bangla sentences which are equivalent to the input English sentence.

Keywords: Machine Translation (MT); Rule based MT; English to Bangla translation

[1]. Mohamed Amine Cheragui, "Theoretical Overview of Machine Translation", Africcan University, Adrar, Algeria, Icwit 2012.
[2]. Prof. Abdulla H. Homiedan, "Machine Translation" African University, Adrar, Algeria, Proceeding ICWIT, 2012.
[3]. Nayeema Islam, "Implementation of Transfer Based Bangla to English Machine Translation System", Bangladesh, 1998.
[4]. A. Godase and S. Govilkar, "Machine Translation Development for Indian Languages and its Approaches", International Journal on Natural Language Computing, Vol. 4, No. 2, pp-55-74, 2015.
[5]. Mary Priya Sebastian, Sheena Kurian K. and G. Santhosh Kumar: A Framework of Statistical Machine Translator from English to Malayalam. In: Proceedings of Fourth International Conference on Information Processing, Bangalore, India ,2010.

Abstract: In this modern era of Internet, we can express our thoughts through different social media platforms i.e. Facebook, Twitter, Instagram etc. The ongoing novel coronavirus disease (COVID-19) pandemic has created devastating consequences on our overall health condition. Some of the survivors are experiencing serious mental trauma and other mental health issues. To determine the aftereffect of COVID-19 on mental health condition, we performed sentiment analysis on their social media posts. This paper primarily focuses on sentiment analysis of twitter data written in Bengla language and intends to determine whether the user is mentally depressed or not. The expressions of....

Keywords: Sentiment Analysis, Machine Learning (ML), COVID-19, Bangla Tweet

[1]. Novel Coronavirus (2019-nCoV) SITUATION REPORT - 1, 21 JANUARY 2020.
[2]. COVID-19 Situation Report No. 10 04 May 2020
[3]. Chen B, Cheng L, Chen R, Huang Q, Phoebe Chen Y-P. Deep neural networks for multiclass sentiment classification. In: IEEE 20th International Conference on high performance computing and communications, IEEE 16th International Conference on Smart City, IEEE 4th International Conference on Data Science and Systems 2018; pp. 854–59.
[4]. Sethi M, Pande S, Trar P, Soni P. Sentiment identification in COVID-19 specific tweets. In: International Conference on electronics and sustainable communication systems (ICESC 2020), pp. 509–16, https://doi.org/10.1109/ICESC48915.2020.9155674