Malicious websites are the most unsafe criminal exercises in cyberspace. Since a large number of users go online to access the services offered by the government and financial establishments, there has been a notable increase in malicious websites attacks for the past few years. This paper presents a model for Malicious website URL detection using Feed Forward Neural Network. The design methodology used here is Object-Oriented Analysis and Design. The model uses a Malicious website URLs dataset, which comprises 48,006 legitimate website URLs and 48,006 Malicious website URLs making 98,012 website URLs. The dataset was pre-processed by removing all duplicate and Nan values, therefore making it fit for better training performance. The dataset was segmented into X_train and y_train, X_test and y_test which holds 60% training data and 40% testing data. The X_train contains the dataset of malicious and benign websites, while the y_train holds the label which indicates if the dataset is malicious or not. For the testing dataset the X_test contains both the malicious and non-malicious websites, while the y_test holds label which indicates if the dataset is malicious or not. The model was trained using Feed Forward Neural Network, which had an optimal accuracy 97%.
Citation: Charles O. Todo, Harrietta I. Ojarikre, and, John N Igabari (2022) Optimal EDC bill-mix through parameters tuning in an optimization model, International Journal of Mathematics and Statistics Studies, Vol.10, No.1, pp.20-29
Abstract: There has been the problem of inappropriate billing of customers by Electricity Distribution Companies (EDCs) in Nigeria. We considered an explicit minimization constrained optimization model where the objective and constraint functions are all linear, for a scenario involving bills (EDCs) generate for their customers. Our model optimizes the bills for different household types. To get a bill-mix that is optimal in the view of customers, model parameters are tuned to fit in with field data collected by the companies. The model was implemented using the computer software, Solver, and the results are presented.
Arrhenius-Type Relationship of Viscosity as a Function of Temperature for Mustard and Cotton Seed Oils (Published)
The knowledge and evaluation of transport behaviors of fluids are very important in heat and mass flow. In this study, we adopted a statistical technique for regression analysis and statistical correlation tests. An equation modeling the relationship between the two parameters of viscosity Arrhenius-type equation, such as the Arrhenius energy (Ea) or the pre-exponential factor (A) was used. In addition, we introduce two other parameters; the Arrhenius temperature (T) and Arrhenius activation temperature (T*) to enrich the discussion. The viscosity data from two vegetable oils at different temperature ranges gives excellent statistical results. In addition, the model in this case is very useful for engineering data and permits the estimation of one non-available parameter when the other is available. The Activation energy Ea, Entropic (pre-exponential) factor A, Arrhenius temperature TA and the Arrhenius activation temperature for the mustard oil were observed to be 374.37381 J/mole, 12.39260595 cP, -17.89797783 oC, 45.051 oC respectively while Activation energy Ea, Entropic (pre-exponential) factor A, Arrhenius temperature TA and the Arrhenius activation temperature for the cotton seed oil are respectively 451.90611 J/mole, 8.210386507 cP, -25.8292961 oC, 54.381 oC . The coefficients of regressions (R2) for the graph of the natural log of viscosity versus reciprocal of temperature (Figures 2 and 4) for the mustard oil and cotton seed oil are 0.9996 and 0.9996 respectively. Since the correlation coefficient is the measure of how well a collection of data points can be modeled by a line, we can hence conclude that the natural log of the viscosity of both seed oil samples versus the inverse of their respective temperatures have a very good fit.
Fully Online E-Learning Model Development as an Online Learning Model during the Covid-19 Pandemic (Published)
During the Covid-19 pandemic, all teaching and learning activities at educational institutions were requested by the government to be carried out online. Therefore, there are no more learning activities carried out face-to-face in the classroom. This research was conducted to provide an overview of the online learning model in fully online e-learning with the blended learning method. By using this model, students do not need to open many platforms in carrying out learning activities. The innovation target to be achieved is the creation of an integrated online learning model in E-Learning at the Bali State Polytechnic Learning Management System. The method used in this research is development research design, starting from problem identification, model design, expert validation, and model testing. The data collected is qualitative data, namely the results of product quality assessments from experts and student responses. The data was collected by using a questionnaire, documentation, and observation. The results showed that the fully online e-learning model was feasible to be used as an online learning model. This is indicated by the results of the expert’s assessment on the material and media aspect of 4 (Good). Likewise, the results of student assessments showed an average score of 4 (Good).
Citation: Komang Sugiarta, Cening Ardina, Komang Wiratama,(2022) Fully Online E-Learning Model Development as an Online Learning Model during the Covid-19 Pandemic, International Journal of Education, Learning and Development, Vol. 10, No.1, pp.16-23
A Bi-Criteria Optimization Model and Methodology for Rail Construction Using Real Data from Ghana (Published)
Rail construction to link major towns or cities is capital intensive, affecting directly or indirectly the tax-payer and owners of property and businesses situated along the path of the rail network. It is in this regard especially that actions that can mitigate or reduce the impact to victims and extraneous cost to the project become important. Two ways are to identify and use the shortest path linking the source and the destination and to factor into the project the cost of demolition and or displacement of property, persons, and businesses. In a previous work of the authors, a bi-criteria optimization model and methodology was developed for the problem in which both the distance and the costs of compensations referred to as Social Cost by the authors were minimized concurrently. Unlike the previous works however, the current paper is premised on testing the model and methodology on real data obtained in connection with a potential case of rail construction to link a town and a major City in Ghana. Furthermore, unlike in the previous works, a model is developed for the social cost criterion and the resulting bi-criteria optimization model run in Matlab using the real data. The results produced four non-dominated paths with the same distance and social cost values for decision-making. Therefore, there can be costs benefits in approaching rail construction in Ghana on the basis of the model.
Evaluation of the Weather-Influenza Pattern with a Regression Model Approximation to Causality (Published)
Once at a time, this author starts a research in the relations between Australia’s number of case in influenza and weather. The outcome has been hypothesised with a structural equation model (SEM). In this paper, the author tries to evaluate the model. It is true that one can apply the evaluation to both of the formative measurement model and structural model through certain suitable procedures. At the same time, this author approximates the model by linear regression method. The result is one can apply the regression to the Hayes’ Process model and find out the wanted model with mediation and moderation effects. In addition, one can also use the Granger Causality Test to examine all of the hypothesised causal relationships between those independent variables such as temperature, wettest_1, concentration of carbon dioxide, strongest wind and coolest and the number case of influenza infected etc. The final outcome is that Hayes’ model 91 is the best mediated one with carbon dioxide as the moderated factor. This author will also explain in details why we have the above prescribed Hayes’ model 91 as the proposed regression model approximation to causality from the SPSS data analysis.
This is a paper review of the work presented at the Royal Agricultural University, Cirencester, United Kingdom. Using library research and reflection, document, journal papers and content analysis were used to generate data. The Sub Saharan African region covered in the paper is that of seven countries. The paper describes the role of agricultural extension models in Sub-Saharan Africa, as well traces the various extension models currently being developed or implement in Sub-Saharan Africa, namely; the top down approaches; from international institutions/ national governments and participatory approaches/bottom-up that engage farmers in decision making. Currently, there are six basic extension approaches/models in diverse stages of development and implementation in developing countries. These models have been structured in a more analytical way around key themes; top down; participatory; demand-led; group versus individual targeting; private sector and free/paid extension services. The reality is that pluralism of models has been employed in various forms in most countries in Sub-Sahara Africa. The paper critically examined seven models, including National Public Extension Model, Training and Visit (T&V) Extension Model, Private Sector Model, Fee-For-Service Extension Models, Farmer Field School Model, Non-Governmental Organization Extension Model, Commodity Extension and Research Model.
Nature School Learning Model (Case Study at the School of Universe, Lebak Wangi Village, Parung District, Bogor Regency) (Published)
This study aimed to: (1) examine the nature school learning model at the School of Universe, Lebak Wangi Village, Parung District, Bogor Regency, (2) analyze the factors supporting the success of the learning model at the School of Universe, Lebak Wangi Village, Parung District, Bogor Regency. This study used a qualitative approach with a case study method. Data collection techniques carried out in this study were: interviews, observation and documentation. Data analysis in this study used interactive models of Miles and Huberman, with steps: data reduction, data model, conclusion and verification. The findings of the study showed that: (1) the learning model in the School of Universe using the spider webb learning model was done by determining the theme. Fields of study in thematic approaches included Science, Mathematics, Indonesian, Social, Green Lab, Cooking, Business, and Morals, (2) the factors supporting the success of the learning model at SD School of Universe were: qualified teachers, the methods used included: exemplary methods, natural learning methods, outbound methods, business methods, adequate facilities and infrastructure, including teacher reading resources to add insight and produce the latest innovations in the field of education, as well as parental supports. The findings of this study were recommended to be applied in conventional schools by collaborating the curriculum with school of universe typical learning model.
Characterization and Modelling Of Air Pollutants Transport from Panteka Market, Jimeta-Yola, Nigeria (Published)
The primary motivation of the current research was to apply Land GEM model to predict gaseous pollutant mobility by means of pollutant concentrations, annual waste mass received, and dumpsite open year from the research area. Land GEM model is believed to have wide application on emission rates from landfills/dumpsites using both site specific and default model parameters. Emission concentration levels were achieved through field and laboratory experimental work from vegetable waste dumpsites using scientific calibrated instruments. Data obtained were applied on Land GEM computer based software; version 3.02 in order to predict air-pollutant transport from the market environment and her surroundings. The model was tested to ascertain its validity where the measured and simulated values indicated good match with an error of 3.8% .The closure year of the case study dumpsite A was predicted to be in 2074 having reached hazardous level in 2024 while control dumpsite B predicted a closure year of 2023 and hazardous level in 2019 with modeling efficiency of 64%. Understanding the types of gases emitted from decomposing vegetable waste dumpsites (CH4, CO2, NMOC, H2S) and their transport pattern could go a long way to ensuring control measures of these pollutions there by having a sustainable zero wastes market to boost economic activities under pleasant environment; hence healthy environment is a prerequisite of healthy life, and fighting pollution is definitely the best way of healthy life.
Curriculum Development and Student Training: A Shared Responsibility between Clothing and Textile Institutions and Their Industry (Published)
The focus of the study was to look into the phenomenon of collaboration between clothing and textiles institutions and the industry regarding curriculum development and student training from the perspectives of respondents. Again the study was to find out if efforts to establish collaboration between clothing and textile institutions and the industry are based on theories/models or standardized practices. Purposive sampling technique was used for the study. Data for the study was collected using interview with semi-structured interview guide and observation. The sample size for this qualitative study was twenty-two (22) made up of two categories of respondent. It was made up of respondents from both the academia and industry. The outcome of the study showed these: It was realized that, as far as student training is concerned, respondents considered industrial attachment as the main and beneficial means of collaboration between the clothing and textiles institutions and the industry. Current efforts to establish collaboration between the two bodies around student training are not guided by standard practices or models. Implications of the outcome of the study as well recommendations for action are provided
Research on Practice Teaching System and Model for Excellent Engineering Personnel Training (Published)
The cultivation of excellent engineering talent has become an important guide for personnel training in engineering schools in China. As the first implementation of excellence plan, School of Energy and Power Engineering in Jiangsu University,with the opportunity to train excellent engineering talent, in response to the major problems in the process of student engineering practice training, puts forward the concept of excellent engineering personnel training with “capacity-oriented, multiple synergies, and undergraduates and graduates integration”. A series of positive and effective explorations have been carried out on multiple synergies and the long-term cooperation mechanism of school-enterprise cooperation, the practice system of deep integration of production and education, and the cultivation for integration of undergraduates, master students and doctoral students.
This paper presents a corrosion rate model for mild steel in hydrochloric acid. A non-linear corrosion rate equation was developed, validated and used to relate the acid point, pH of hydrochloric acid as corrosive medium for mild steel to other variables like corrosion rate and substrate immersion period. The inhibitor used is Sinclair synthetic paint – an organic inhibitor. The effect of variables on corrosion rate has been investigated using non-linear regression analysis. The derived model is an exponential decay function of two input factors. The coefficient of correlation between the calculated and experimental data indicates good performance of the derived model.
Modeling the Evolution in the Concentration of Solids Based On Time of The Mewou River in the Mifi Basin (Published)
The objective of this study is to evaluate and model the evolution of the concentration of solids, as a function of the time of the Mewou river, in the Mifi watershed. We have determined from the samples taken from this watercourse and from the specialized laboratories the concentrations of soil exported. The MATLAB software allowed us to simulate the evolution of the concentration of solids, according to the time of this stream. This evolution is characterized by the polynomial model equation of degree nine with a correlation coefficient of 0.5702 and a coefficient of determination of 0.325: Cs = a* t 9 + b* t 8 + c* t 7 + d* t 6 + e* t 5 + f* t4 + g* t 3 + h* t 2 + i* t + j
Modeling the evolution of sediment discharge based on liquid flow rates of the Mewou river in the Mifi basin (Published)
The objective of this study is to evaluate and to model the evolution of sediment discharge depending on the liquid flow of the Mewou River in the catchment of the Mifi. The amount of exported soil was determined by oven drying of the water samples collected from the Mewou River at 105 °C. The MATLAB software has enabled us to simulate the evolution of sediment discharge based on liquid flow rates. The evolution of sediment discharge based on liquid flow rates obtained in this study is characterized by the polynomial model of equation nine degrees a correlation coefficient of 0.9999 and a determining coefficient of 0.9998:
Qs = a* Ql 9 + b* Ql 8 + c* Ql 7 + d* Ql 6 + e* Ql 5 + f* Ql 4 + g* Ql 3 + h* Ql 2 + i* Ql + j
This equation is more representative than the power model « Qs = a*Qlb » which has a correlation coefficient of 0.9891 and a determining coefficient of 0.9783 or the power model « Qs = a*Qlb + b » which has a correlation coefficient of 0.9934 and a determining coefficient of 0.9868 developed by other authors.
Exploration Study for Development Model Student Learning to Speak for Education Study Language and Literature Indonesia (Published)
This study is the initial part of a doctoral dissertation research conducted with the aim at designing a learning model in teaching speaking according to the needs of faculty and students. The learning model is designed based on curriculum of Indonesian Language Education and Literature study program, IKIP PGRI Bojonegoro, UnirowTuban, and UnisdaLamongan, East Java, Indonesia. The development of this model is done to improve the students speaking skills. Research and development are the steps consist of a needs analysis, document analysis, design models, development models and experimental models. Needs analysis was conducted by researchers to the students of the first semester and three teachers’ and the head of study program of IKIP PGRI Bojonegoro, UnirowTuban and Unisdalamongan to get information related to the needs of students and faculty to model of learning speaking. Needs analysis and documents analysis were collected through questionnaires, interviews, and discussions with students and academics. Document and needs analysis in this study a syllabus, lesson plan (RPP) and the model used for this study. This research was carried out by following the nature of the procedures of research and development covering the steps of (1) an exploratory study, (2) the stage of development, (3) the testing phase models, (4) dissemination (Borg and Gall (1983) and Sukmadinata (2008)). The results of the analysis of questionnaires, and interviews revealed that lecturers need guidelines for the implementation of learning speaking. Learning model strategies wite that foster self-confidence in speaking is needed by students’.
For ordinal square contingency tables, Yamamoto, Tanaka and Tomizawa (2013) proposed the sum-symmetry model and gave a decomposition of it. The present paper proposes three kinds of extended sum-symmetry models, and gives two another decompositions of the sum-symmetry model using these models. Audiometry data are analyzed.
Toward The Adoption of a Governance Model in Zakat Foundations: The Case of the Algerian Zakat Fund (Published)
This study aims to clarify the developmental role of Zakat foundations, and the active role of governance principles and mechanisms in increasing theirefficient performance, demonstrate the impact of the Algerian Zakat Fund on the Algerian economy and society, and to highlight the importance of the Algerian Zakat Fund governance in its ability to continuity and achieving the interests of the different parties. It concluded to the need to follow the latest methods and formulas to mobilize and update Zakat resources, establish institutional and legal mechanisms, raise the regulatory bodies efficiency for activating the economic, social and cultural role of Zakat foundations as State institutions which enjoy full autonomy and necessary powers in order to achieve their role in the Algerian society, and adopt specialized competencies to ensure seriousness and effectiveness in the management of the Algerian Zakat Fund in order to reassurepeople who give Zakat on the good management of Zakat resources properties.
A Model for Planning and Implementing Curriculum Change in Private Higher Education in Botswana (Published)
This paper examined the role of academic middle managers (AMMs) in the planning and implementation of curriculum change in private higher education institutions (PHEIs) in Botswana. Drawing from various sources of literature and theoretical underpinnings, the study described how AMMs enact their role in curriculum change. A quantitative approach that used a structured questionnaire for data collection was used in the study. Results of the study showed that AMMs face numerous challenges during curriculum change which have a negative impact on their role. These challenges include lack of authority, lack of detailed job descriptions, work overloads among others. Results further showed that the following variables namely curriculum leadership, AMM job requirements, AMMs role enablers, work experience, educational levels of AMMs are important predictors of effective AMMs role in the planning and implementation of curriculum change in PHEIs and hence need to be optimized. It was also shown that gender, age, department size do not have a significant effect on the effectiveness of AMMs in their role in curriculum change while level of education and years of experience have a significant effect. Based on the results, a model for enhancing the effectiveness of AMM role in the planning and implementation of curriculum change was proposed.
MODELLING AND SIMULATION OF SOIL AND SEDIMENT EXPORTED THROUGH STREAM FLOW, CHANGES IN THE RIVER FLOW AND IN EXPORTED PHYSICOCHEMICAL PARAMETERS: LONG TERM ENVIRONMENTAL IMPLICATIONS AND MITIGATIONS STRATEGIES: CASE OF THE RIVER MEWOU (SOUTH MIFI) IN THE WESTERN TROPICAL HIGHLANDS OF CAMEROON (Published)
This study aims at determining the impact on water, agriculture and the environment of the soil constituents exported by the Mewou river on the southern Mifi through modeling of the changes in the river flow and in the exported physico-chemical constituents and to identify mitigate strategies. The average exported soils varied in t/km2 from 195.34 in 2011 to 256.02 in 2012. The flow variation of water and chemical constituents were each characterized by a general equation with a model:
Y = a*t9+b*t8+c*t7+d*t6+e*t5+f*t4+g*t3+h*t2+i*t+j
Environmental pollution was identified by water turbidity, 146.9 NTU, and in mg/l Organic matter 2.33, Cd2+ 11, Pb2+ 48.20, NH4+ 2.8, PT 0.84, Al3+ 0.593, NO2- 4.645. It is recommended that to mitigate soil loss, pollution and increase recharge of water table, the use of Vetiver (Chrysopogon zizanioides) hedges and by installation of wastewater treatment plants by each industry and the Municipal council for the household wastes.
A COMPUTERIZED IDENTIFICATION SYSTEM FOR VERB SORTING AND ARRANGEMENT IN A NATURAL LANGUAGE: CASE STUDY OF THE NIGERIAN YORUBA LANGUAGE (Published)
The context of Understanding has continued to be a major attraction to researchers in Natural Language Processing. This is built on the theory that language can be used effectively if it is understood and can be analyzed and as such, most Natural Language Processing research tend towards the belief that the human brain has a section dedicated for language analysis and understanding therefore, human ambiguity which, remains the major difference between natural and computer languages, can be modeled using appropriate man machine modeling tools since programming languages are designed to be unambiguous, that is, they can be defined by a grammar that produces a unique parse for each sentence in the language. The paper evaluates the classification process for a Natural language ‘the Yoruba language’ and presents a new method by which the language can be transformed into a computer understandable language using its morphological identification framework. Result shows that the approach is admissibly in line with known benchmarks. The paper recommends that non tonal language can also be experimented using the defined approach.