IJSRET » January 11, 2021

Daily Archives: January 11, 2021


IJSRET Volume 7 Issue 1,Jan-Feb-2021

A Review of Intrusion Detection Systems
Authors:- Subhash Waskle, Associate Prof. Avinash Pal

Abstract:- An intrusion detection system (IDS) is devices or software’s that are used to monitors networks for any unkind activities that bridge the normal functionality of systems hence causing some policy violation. This paper reviews some of the intrusion detection systems and software’s highlighting their main classifications and their performance evaluations and measure.

Tapping into Geothermal Technology to Boost Electricity Supply in Nigeria
Authors:- Alabi A.A., Adeleke B.S. , Adekanmbi, A.O., Fawole T.G.

Abstract:- It is no more news that attention of humanity has shifted to the generation of energy through renewable energy sources. This paper is based on how Nigeria can tap into the use of geothermal technology other than other renewable energy sources to generate electricity using of the two available geothermal resources (hydrothermal and petrothermal) in available locations. Through hydrothermal plants the heat received from geothermal resources are converted to electricity. This is a technology that if efficiently utilized, can go a long way to make Nigeria electricity challenge a thing of the past.

Segregating Spammers from Social Digital Platform by Genetic Algorithm
Authors:- Rahul Kumar, Dr. Avinash Sharma

Abstract:- Presence of online Social digital platform in human life from past few decade influence advertiser to place their product in different style. Some of digital marketing companies plays a giant role for promoting a product, service, thought, etc. to social digital users. Digital platform do not want to lose their control so spammer who work professionally to promote a brand need to identify ad remove from the platform. This paper has work in this field of online social spammer detection by developing a unsupervised algorithm which identify the user class (Spammer or real) as per sequential behavior done. Proposed work utilized a intelligent water drop genetic algorithm for segregating the users into desired class. Some of digital platform inherent features of the user profile were used for finding the fitness class of the user to the corresponding class of user. Experimental work was done on real twitter dataset and comparison of proposed model was done with existing method of spammer detection. Results shows that proposed model has increased the accuracy of spammer detection.

An Evaluation of the Role Played By The Head Of School In The Delivery Of Quality Education In Zimbabwean Day Secondary Schools: A Case Study Of Guruve District
Authors:- Laison Jairus Kavumbura

Abstract:- Quality education is a critical phenomenon for the provision of quality human resources in any country. Quality education focuses on learning which strengthens the capacity of children to act progressively on their own behalf through the acquisition of knowledge in useful skills. Quality in terms of school products implies school graduates who are not just literate or numerate, but graduates who add value to their families, communities as well as nation through the knowledge, skills and morals they acquired from the school system. In Zimbabwe the parents, government and employers place a very high premium on the quality of education that schools provide to their learners. Certain schools are shunned because of their perceived low standards and yet others are sought after by many parents and students due to the quality of learning perceived to obtain in them. Quality therefore is about high standards of achievement by pupils in all spheres. Quality does not come about like manna from heaven. It is brought about in an organisation deliberately through the leadership process. This article draws on a quantitative enquiry on the role played by heads in the delivery of quality education in Zimbabwean Secondary schools. The study adopted the descriptive survey design. The target population included all secondary school teachers in Guruve district which has a teacher population of plus minus 18000 teachers. Random sampling was used to arrive at a sample of 200 respondents who were made up of 120 males and 80 females. All the information was collected through a questionnaire which had both close-ended and open-ended questions. Descriptive statistical analysis was used to interpret the data. The study revealed that heads did not encourage attendance by pupils to all lessons, there was inadequate provision of stationary and learning equipment and that supervision of learning was not adequately done by the heads. The study also reveals that heads were not results focused in their operations. The study recommends that heads of schools should be equipped with skills and knowledge in the field of leadership and management so that they promote quality education in their schools. Heads should also prioritise supervision of instruction and provision of adequate teaching/learning materials.

A Glass Fiber Compressive Strength Prediction Using Artificial Intelligence (ANN)
Authors:- Madhav Shrivastav, Prof. Sourabh Dashore

Abstract:- Concrete, being widely used, is the most important building material in civil engineering. Concrete is a highly complex material, which makes modeling its behavior a very difficult task. Many attempts were taken earlier to develop suitable mathematical models for the prediction of compressive strength and flexural strength of different concretes. Those traditional methods have failed to map non-linear behavior of concrete ingredients. The present study has used artificial neural networks (ANN) to predict the compressive strength and flexural strength of glass powder concrete. The ANN model has been developed and validated in this research using experimental strength data of different mixes. The artificial neural networks (ANN) model is constructed trained and tested (in MATLAB. For study models were developed. Strength was modeled in ANN model as a function of input data collected by the experimental result in laboratory. In this study, an attempt was also made to develop a multiple regression model for predicting strength (in EXCEL) as it is being used largely by researches in prediction. Finally, this model was used to predict the strength of concrete for different different days.

A Review of Glaucoma Detection Techniques
Authors:- Arkaja Saxena, Associate Prof. Avinash Pal

Abstract:- Glaucoma is one of the main causes of blindness today. It is basically a group of eye diseases that leads to the optic nerve damage and arises mostly due to the increases in the Intraocular Pressure (IOP) within the eyes. The early detection as well as diagnosis of this disorder is very important as at the later stages it leads to complete loss of vision.In this paper we reviewed different glaucoma detection procedures by digital image processing of fundus of eye. This paper also proposes a very simple method for the screening of glaucoma.

Concept Maps: Let’s Organize Your Speech
Authors:- Nirumala Rothinam, Hadidah Abdul Rahman

Abstract:- This research was to observe the effectiveness of concept maps in enhancing Matriculation students’ speaking ability in terms of organization and content. The specific objective of this research is to identify if concept maps could be an effective educational tool to improve students’ speaking scores according to the Malaysian University English Test (MUET) speaking scoring guideline. Participants of this research consist of 24 one-year Science program students. Data collections were done through pre-test and post-test. Data were analysed using descriptive analysis. Results of the analysis established that all the 24 participants showed an increase in the speaking scores after the intervention using concept maps. The research indicated that concept mapping is effective in supporting the organization of thoughts and content to produce verbal output thus producing a positive correlation between the use of concept maps and scores for participants’ speaking assessment.

A Review of Recommendation Techniques
Authors:- M. Tech. Scholar Pooja Relan, Asst. Prof. Avinash Pal

Abstract:- On the Internet, the place the number about
Decisions may be overwhelming, there will be necessity will filter, prioritize Also effectively convey important data so as on allay those issue of majority of the data overload, which need made an possibility issue will huge numbers Internet user. Recommenders techniques work out this issue by looking through huge volume for rapidly created majority of the data on furnish user with customize content and services. This paper investigates the separate aspects and potentials for distinctive prediction techniques clinched alongside recommendation techniques in place with serve concerning illustration a compass to Scrutinize and act in the field of recommendation techniques.

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