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• Open Access   Article

  Developmental Proposal of a Generic Architecture for Cognitive Internet of Things

  Jeeva Jose, Vijo Mathew

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.1-6, Jun-2022

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  Abstract
  Cognitive science is developing in a faster pace and finding applications in science and technology. A cognitive network is a communication network that uses cognitive processes to understand present situations, make decisions based on its findings and take feedback from those decisions to take corrective actions. Cognitive computing uses computer models for simulating the human thought process. The Internet of Things (IoT) consists of “Things” which are networked for computation to take actions accordingly. The development of a cognitive network as well as that of cognitive computing can lead to the development of IoT that is cognitive. In this paper, we propose an architecture for cognitive IoT that is derived from cognitive network and cognitive computing.

  Key-Words / Index Term
  Cognitive, Internet of Things, Network, Computing, Architecture

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  Citation
  Jeeva Jose, Vijo Mathew, "Developmental Proposal of a Generic Architecture for Cognitive Internet of Things," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.1-6, 2022

• Open Access   Article

  A Study on the Numerical Accuracy and Efficiency of the Bisection Method in Finding Square Roots of Positive Real Numbers

  H. Rahman, K.C. Roy, S.K. Das, S.A. Hossain

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.7-12, Jun-2022

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  Abstract
  Calculating square roots of positive real numbers play a vital role in scientific and engineering computing. From the daily-life used calculators to the computer software used as a calculator often use the square root function. However, finding the real roots of algebraic and transcendental equations is one of the most exciting topics in numerical computation. There are several methods, such as the Bisection, Secant, Iteration, and Newton-Raphson’s methods, to do that. The speciality of the Bisection method is its robustness and needs no stability criterion. Although it convergences slowly, it always convergences. In this study, we assessed the numerical accuracy through the root mean square error (RMSE) value for this method by applying it to finding square roots of some positive real numbers. Also, we calculated the computational time and number of iterations to convergence to an exact root with the error tolerance of 0.000001 for assessing the method’s efficiency. The method’s RMSE value obtained in our study is of order 10-7, indicating its reasonably acceptable accuracy level. We got this accuracy within 23 iterations in each case, and the computational time is a tiny fraction of a millisecond; these indicate the excellent efficiency level of the method. Our inquiry has found the method reasonably acceptable, efficient, and robust.

  Key-Words / Index Term
  Bisection method; Square root; Algebraic and transcendental equations; Numerical computation of zeros; Root mean square error; Accuracy; Rate of convergence; Efficiency

  References
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  Citation
  H. Rahman, K.C. Roy, S.K. Das, S.A. Hossain, "A Study on the Numerical Accuracy and Efficiency of the Bisection Method in Finding Square Roots of Positive Real Numbers," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.7-12, 2022

• Open Access   Article

  Evolutionary Reinforcement Learning of Neural Network Controller for Pendulum Task by Evolution Strategy

  Hidehiko Okada

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.13-18, Jun-2022

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  Abstract
  Reinforcement learning of neural networks requires gradient-free algorithms because labeled training data are not available. Evolutionary algorithms are applicable to the reinforcement learning because the algorithms do not rely on gradients. To successfully train neural networks by evolutionary algorithms, we need to carefully choose appropriate algorithms because many algorithm variations are available. The author experimentally evaluates Evolution Strategy, an instance of evolutionary algorithms, for the reinforcement learning of neural networks. A pendulum control task is adopted in this work. Experimental results revealed that ES could successfully train an MLP so that the trained MLP could make and keep the pendulum upright quickly, if the MLP was equipped with sufficient hidden units. For the task adopted in this work, 16 units are the best among 8, 16 and 32 units in terms of the task performance and the computational efficiency. Besides, the results revealed that exploration contributes more for ES to search for better solutions than exploitation.

  Key-Words / Index Term
  Evolutionary algorithm; Evolution strategy; Neural network; Neuroevolution; Reinforcement learning.

  References
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  Citation
  Hidehiko Okada, "Evolutionary Reinforcement Learning of Neural Network Controller for Pendulum Task by Evolution Strategy," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.13-18, 2022

• Open Access   Article

  Diagnosis of Chronic Kidney Disease Using Optimised Feature Selection and Ensemble Technique

  Olukiran Oyenike Adunni, Shoyemi Olufemi Segun, Aro Taye Oladele, Aiyeniko Olukayode, Adedokun Olufemi Adewale

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.19-25, Jun-2022

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  Abstract
  Chronic Kidney Disease (CKD) has been identified as an international challenge in healthcare that is increasing progressively. A survey showed that on average more than two million individuals over the world receive dialysis or transplanting kidney treatment to be alive. Prompt diagnosis of CKD is crucial. Prompt and applicable diagnosis demands the use of techniques in data mining. Recently, techniques now extend to a broad area in the diagnosis of a chronic kidney with importance mainly on accuracy via the simplification of disease by employing a selection of features together with pre-processing methods. This paper presented an optimised feature selection approach using the boosting of ensemble technique for CKD diagnostic model by the introduction of a nature-inspired computation algorithm known as Ant Colony Optimization for the selection of attributes from the CKD dataset. Seven selected learning algorithms were used for classification. The CKD diagnostic model was evaluated using an indigenous dataset collected from Ladoke Akintola University of Technology (LAUTECH) teaching hospital, Ogbomoso and Osogbo, University College HospitPredical (UCH), Ibadan, Oyo State and Obafemi Awolowo University Teaching Hospital. Results showed that the optimised CKD diagnostic model produced the best accuracy of 96.54% in Stage 5 of CKD using logistic regression classifier, the best sensitivity of 0.9650 was obtained in Stage 5 of CKD using logistic regression classifier and the best precision of 0.9700 was obtained in Stage 5 of CKD using logistic regression classifier

  Key-Words / Index Term
  Chronic Kidney Disease, Diagnosis, Ensemble, Diagnostic Model

  References
  [1] Arasu, S.D., & Thirumalaiselvi, R. "Review of Chronic Kidney Disease based on Data Mining Techniques" International Journal of Applied Engineering Research, Vol. 12, No. 23, pp. 13498–13505, 2017.
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  [6] Gopika, S. & Vanitha, M. `"Survey on Prediction of Kidney Disease by using Data Mining Techniques" International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, No. 1, pp. 198–201. 2019.
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  Citation
  Olukiran Oyenike Adunni, Shoyemi Olufemi Segun, Aro Taye Oladele, Aiyeniko Olukayode, Adedokun Olufemi Adewale, "Diagnosis of Chronic Kidney Disease Using Optimised Feature Selection and Ensemble Technique," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.19-25, 2022

• Open Access   Article

  Molecular Docking Reveals the Pharmacological Properties of Natural Molecules as Potential Candidates in Similar Behaviors of Aliskiren

  P. Patrizio, E. Muja, I.V. Ferrari

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.26-30, Jun-2022

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  Abstract
  Hypertension account for one of the most causes of cardiovascular diseases (CVDs) progression leading to disability and mortality worldwide and there are several antihypertensive drugs to manage this condition. In spite of the presence of several drugs, the research in this sector keep going forward because the final target is the personalized medicine with totally or very low side effects. In this paper we want to study a new class like last frontier of antihypertensive drugs. The progenitor is aliskiren one drug recently approved like direct inhibitor of renin and consequently the next cascade of angiotensin, aldosterone that control the blood pressure. In this paper we want to evaluate a series of new natural molecules in order to find the best molecules that act similarly the aliskiren and possibly with more antihypertensive efficacy and without side effects. For the goal, several natural compound has been screened measuring the capacity of singles molecule of binding in the site of the renin. We did a comparison with the aliskiren. As for the methodology we used a computational approaches with appropriate software to measure the docking step measuring parameters like binding energy on the site of interaction with the molecules evaluating potential inhibitors of renin. The protein Crystal Structure of Renin and 44 natural compounds were downloaded from Protein Data Bank and accurately prepared before to run with Autodock Vina and Autodock 4 analysis. Results: Two potential candidates were found to have a superior binding with renin, compared to Aliskiren, with a range of 2-3 kcal/mol Binding energy scores. In favour of this simple bioinformatics investigation, we evaluated, previously a validation method of docking analysis to support this hypothesis. Conclusions: this study offer a stimulus for further research in this last groups of antihypertensive drugs, that block the RAAS pathway at the point of activation and recognized as the preferred pharmacologic approach system.

  Key-Words / Index Term
  Renin inhibitor; Aliskiren , AutoDock Vina Tool

  References
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  [2] antihypertensive therapy. A fleeting look at the old and the
  [3] promising new molecules”. Bioorganic & medicinal chemistry, Vol.28, Issue.10 , pp.115466, 2020.
  [4] Allikmets, K.Aliskiren–an orally active renin inhibitor. “Review of pharmacology, pharmacodynamics, kinetics, and clinical potential in the treatment of hypertension”. Vascular Health and Risk
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  [19] Jean- Jacques Mourad and Bernard I. Levy ,Interaction between RAAS inhibitors and ACE2 in the context of COVID-19 https://doi.org/10.1038/s41569-020-0368-x

  Citation
  P. Patrizio, E. Muja, I.V. Ferrari, "Molecular Docking Reveals the Pharmacological Properties of Natural Molecules as Potential Candidates in Similar Behaviors of Aliskiren," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.26-30, 2022

• Open Access   Article

  Implementation of Machine Learning Model On SARS-Cov-2 Clinical Evidence

  Venu Paritala, S Ranjeeth, Harsha Thummala

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.31-35, Jun-2022

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  Abstract
  Computational strategies for machine learning (ML) have appeared their meaning for the projection of potential comes about for educated decisions. Machine learning algorithms have been connected for a long time in numerous applications requiring the discovery of antagonistic hazard variables. This ponder appears the capacity to anticipate the number of people who are influenced by the SARS-CoV-2 as a potential danger to human creatures by ML demonstrating. As an alternative to optimization, statistical, and neural network models, this research offers a relative analysis of machine learning and delicate computing models to anticipate the SARS-CoV-2 outbreak.Among a wide extend of machine learning models explored, three models appeared promising comes about .In this Module used parameters of entities cumulative total of cases and cumulative total of deaths reported globally in this module prediction. We are predicting the newly reported cases in past 24hrs, newly reported cases in past 7days and newly reported deaths in last 24hrs, newly reported deaths in past 7days, etc. In Machine learning it`s play`s a significance role in the prediction of covid 19 cases. Using these techniques easily identified SARS-COV-2 patient growth rate, death rate, Recovery rate, etc., in the Last 24 hours, 7 days, and also a mode of Transmission at countrywide. The models outcomes 93.6 accuracy. (Its show`s high amount of accuracy in testing .optimization module is useful to prediction of cases which are going happen in future).

  Key-Words / Index Term
  SARS-COV-2; Statistical; Neural Network; Optimization; Machine Learning

  References
  [1] Maier, B.F. Brockmann, D. Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China. medRxiv 2020.
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  [9] Burdick H et al Prediction of respiratory decompensation in Covid-19 patients using machine learning: the READY trial. Comput Biol Med 124:103949,2020a
  [10] Burdick H et al Is machine learning a better way to identify COVID-19 patients who might beneft from hydroxychloroquine treatment? The Identify Trial. J Clin Med 9(12):3834.,2020b.
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  [17] S Ranjeeth*, T.P. Latchoumi and P Victer Paul, Optimal Stochastic Gradient Descent with Multilayer Perceptron Based Student`s Academic Performance Prediction Model, Recent Advances in Computer Science and Communications, 2020.
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  [22] Paritala, Venu & Reddy, Rajashekhar & Kalva, Sukesh. (2021). Journal of Applied Bioinformatics & Computational Biology Neglected Disdb: A Broad Internet Framework for Gathering And Analysing Data From Neglected Diseases.

  Citation
  Venu Paritala, S Ranjeeth, Harsha Thummala, "Implementation of Machine Learning Model On SARS-Cov-2 Clinical Evidence," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.31-35, 2022

• Open Access   Article

  Experimental Investigation of Effects of Fabric Thickness, Loop Shape Factor, Fabric Tightness Factor and Aerial Weight on Air Permeability of Pique Cotton Knitted Fabric

  Neway Seboka Debele

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.36-40, Jun-2022

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  Abstract
  The present study tries to navigate the effects of fabric aerial weight, loop shape factor, tightness factor and thickness on air permeability of pique knitted fabric made with 100% cotton yarn. Samples used for experimentation are purchased from market. For assessing the factor effects statistical analysis is made using Design expert software and for computation (BBD) is followed. 30 experimental runs have been made and for point prediction of the response, a confidence level of 0.95 is used. Thus, a calculated correlation coefficient of 76.37% is found. The analysis proves fabric aerial weight, thickness and fabric tightness factor significantly affects air permeability of pique fabric made with 100% cotton yarn. Thus, the study shows fabric aerial weight, fabric thickness and tightness factor affect air permeability negatively but significantly.

  Key-Words / Index Term
  Pique, fabric aerial weight, thickness, loop shape factor, tightness factor, air permeability, BBD

  References
  [1] G. Bedek, F. Salaün, Z. Martinkovska, E. Devaux, and D. Dupont, "Evaluation of thermal and moisture management properties on knitted fabrics and comparison with a physiological model in warm conditions," Applied ergonomics, Vol. 42, Issue 6, pp. 792-800, 2011. DOI: 10.1016/j.apergo.2011.01.001.
  [2] R. Bagherzadeh, M. Gorji, M. Latifi, P. Payvandy, and L. Kong, "Evolution of moisture management behavior of high-wicking 3D warp knitted spacer fabrics," Fibers and polymers, Vol. 13, pp. 529-534, 2012. https://doi.org/10.1007/s12221-012-0529-6.
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  [7] Ogulata, R.T., Mavruz. S., “Investigation of porosity and air permeability values of plain knitted fabrics”, Fibre & Textiles in Eastern Europe, Vol. 18, Issue .5, pp.71-75, 2010.
  [8] Ogulata, R.T., Serin M.Mezarcioz, “Optimization of air permeability of knitted fabrics with the Taguchi approach”, The Journal of the Textile Institute, Vol. 102 Issue 5, pp.395-404, 2011.
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  [12] S.S.Bhattacharya and J.R.Ajmeri, “Air Permeability of Knitted fabrics made from Regenerated Cellulosic fibres”, International Journal of Engineering Research and Development, Vol. 10, Issue 7, pp.16-22, 2014.
  [13] Seboka, Neway. "Determination of effect of input yarn tension on weight (GSM) of single jersey knitted fabrics using ANOVA model," International Journal of Scientific Research in Multidisciplinary Studies, Vol.7, Issue.11, pp.35-41, 2021.
  [14] Seboka, Neway. "Regression model development for showing relation between mechanical yarn stretch (%) in sizing and Warp yarn breakage (cmpx) in looms using ANOVA model." Ethiopian journal of textile and apparel Vol 1, Issue2, pp. 01-09, 2020 .
  [15] Seboka Neway. "Statistical analysis of effects of fabric thickness, loop shape factor, fabric tightness factor and aerial weight on water vapor permeability of single jersey polyester knitted fabric", International Journal of Scientific Research in Computer science and Engineering, Vol.9, Issue.6, pp.55-62, 2021.
  [16] Seboka Neway. "Studying effects of fabric thickness, loop shape factor, fabric tightness factor and aerial weight on thermal conductivity of plain single jersey cotton knitted fabric using Box Behnken Design", International Journal of Engineering and applied computer science, Vol.4, Issue.1, pp.01-08, 2022.

  Citation
  Neway Seboka Debele, "Experimental Investigation of Effects of Fabric Thickness, Loop Shape Factor, Fabric Tightness Factor and Aerial Weight on Air Permeability of Pique Cotton Knitted Fabric," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.36-40, 2022

• Open Access   Article

  Theoretical Study of the Biological Role of Hypericin in DYRK2 Protein

  I.V. Ferrari, A. Cavallo, G. Giuntoli, I. Foffa, G. Soldani, P. Losi

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.41-46, Jun-2022

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  Abstract
  For the first time, this communication is intended to investigate the possible biological role of the natural compound Hypericin in the Crystal Structure of dual-specificity tyrosine phosphorylation regulated kinase 2 (DYRK2), by Molecular and Dynamic Simulation. From Docking analysis by Autodock Vina and Autodock 4, Hypericin shows a significant ability to bind to DYRK2 protein, an important receptor for cell growth and development. Indeed, from our docking studies, this substance reports an excellent Binding Energy value of about -13.00 kcal/mol with Inhibition Constant value (Ki) of 1 nMolar. Although our results are encouraging there remain many open questions and in Vitro and in Vivo studies to confirm our findings.

  Key-Words / Index Term
  DYRK2, Hypericin, cancer, Docking analysis

  References
  [1] Nomura, S., Suzuki, Y., Takahashi, R., Terasaki, M., Kimata, R., Terasaki, Y., and Kondo, Y. “Dual-specificity tyrosine phosphorylation-regulated kinase 2 (DYRK2) as a novel marker in T1 high-grade and T2 bladder cancer patients receiving neoadjuvant chemotherapy”. BMC urology Vol., 15, pp.1-6, 2015.
  [2] Woods, Y. L., Cohen, P., Becker, W., Jakes, R., Goedert, M., Wang, X., Proud, C. G. The kinase DYRK phosphorylates protein-synthesis initiation factor eIF2B? at Ser539 and the microtubule-associated protein tau at Thr212: potential role for DYRK as a glycogen synthase kinase 3-priming kinase. Biochemical Journal Vol. 355, pp.609-615, 2001.
  [3] Taira, N., Nihira, K., Yamaguchi, T., Miki, Y., Yoshida, K. DYRK2 is targeted to the nucleus and controls p53 via Ser46 phosphorylation in the apoptotic response to DNA damage. Molecular cell Vol.25, pp.725-738, 2007.
  [4] Tandon, V., de la Vega, L.,Banerjee, S. “Emerging roles of DYRK2 in cancer”. Journal of Biological Chemistry Vol.296 pp.100233, 2021.
  [5] Correa-Sáez, A., Jiménez-Izquierdo, R., Garrido-Rodríguez, M., Morrugares, R., Muñoz, E., Calzado, M. A. “ Updating dual-specificity tyrosine-phosphorylation-regulated kinase 2 (DYRK2): molecular basis, functions and role in diseases”. Cellular and Molecular Life Sciences Vol.77, pp.4747-4763, 2020.
  [6] Yoshida, K. “Role for DYRK family kinases on regulation of apoptosis”. Biochemical pharmacology Vol.76, pp.1389-1394, 2008.
  [7] Kubin, A., Wierrani, F., Burner, U., Alth, G., and Grunberger, W. (2005). Hypericin-the facts about a controversial agent. Current pharmaceutical design, Vol.11,Issue (2), pp.233-253.
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  [11] Trott, O., and Olson, A. J. “AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading”. Journal of computational chemistry Vol.31 pp.455-461, 1010.
  [12] Huey, R., Morris, G. M., Forli, S. “Using AutoDock 4 and AutoDock vina with AutoDockTools: a tutorial. The Scripps Research Institute” Molecular Graphics Laboratory Vol.10550, pp.92037, 2012.
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  Citation
  I.V. Ferrari, A. Cavallo, G. Giuntoli, I. Foffa, G. Soldani, P. Losi, "Theoretical Study of the Biological Role of Hypericin in DYRK2 Protein," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.41-46, 2022

• Open Access   Article

  Controllers Performance Analysis in Software-Defined Networking

  Ayman Haggag, Sanaa Awad, Ali Saad Gaballah

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.3 , pp.47-51, Jun-2022

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  Abstract
  Software-Defined Networks (SDN) is a modern networking model characterized by many features by which the network can be configured more easily and managed at lower cost and higher efficiency to cope with the requirements of the current era of technology, which requires much more network automation and flexibility than traditional networks. The technical aspect is a new approach to network management, whereby the network administrator can manage the network in an abstract way away from knowing the technical details in the lower layers. OpenFlow protocol is the protocol used in SDN managements. Several SDN controllers that support OpenFlow now exist. In this research, we compare the features provided by the most popular SDN controllers available now. We apply existing benchmarking and network analysis tools to assess the performance SDN controllers for different network sizes using available SDN emulators such as Mininet.

  Key-Words / Index Term
  Software-Defined Networking; SDN Controllers; OpenFlow protocol

  References
  [1] T. Li, J. Chen, and H. Fu, “Application Scenarios based on SDN: An Overview,” J. Phys. Conf. Ser., vol. 1187, no. 5, 2019.
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  Citation
  Ayman Haggag, Sanaa Awad, Ali Saad Gaballah, "Controllers Performance Analysis in Software-Defined Networking," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.47-51, 2022