Middle East Journal of Applied Science & Technology
Volume 6 Issue 2 April-June 2023
Current Issue
Review Article
A Brief Survey on Recommendation System for a Gradient Classifier based Inadequate Approach System
R.Sowmya, Dr.T.Ananth Kumar, Dr.R.Rajmohan, Dr.P.Kanimozhi, Dr.Christo Ananth & Sunday A. AJAGBE
Page No. 01-08
Abstract: Recommender systems are a common and successful feature of modern internet services. (RS). A service that connects users to tasks is known as a recommendation system. Making it simpler for customers and project providers to identify and receive projects and other solutions achieves this. A recommendation system is a strong device that may be advantageous to a business or organisation. This study explores whether recommender systems may be utilised to solve cold-start and data-sparsely issues with recommender systems, as well as delays and business productivity. Recommender systems make it easier and more convenient for people to get information. Over the years, several different methods have been created. We employ a potent predictive regression method known as the slope classifier algorithm, which minimises a loss function by repeatedly choosing a function that points in the direction of the weak hypothesis or the negative gradient. A group that is experiencing trouble handling cold beginnings and data sparsity will send enormous datasets to the suggested systems team. The users have to finish their job by the deadline in order to overcome these challenges.
Research Article
Tanzil Irfan & Muhammad Asif Raheem
Page No. 09-19
Abstract: The COVID-19 pandemic has led to a significant shift towards online teaching-learning practices, disrupting traditional methods at the university level. This review analyzes 35 studies using content analysis to understand the perceptions of students and teachers towards online learning during this time. The findings indicate that the shift to online learning has created both challenges and opportunities for students and teachers. For students, challenges included technical issues, lack of social interaction, and reduced motivation, while opportunities included flexibility, self-paced learning, and increased access to resources. For teachers, challenges included adapting to online platforms, providing effective feedback, and maintaining student engagement, while opportunities included innovation, creativity, and improved teaching skills. Factors that influenced perceptions of online teaching-learning included technology infrastructure and accessibility, student and teacher demographics and background, institutional policies and support, and sociocultural and environmental factors. The review recommends improving the quality of online teaching-learning experiences by providing adequate technological support and training for both students and teachers, promoting interaction and engagement, and providing effective feedback. This study has significant implications for the field of education, emphasizing the need for continuous adaptation and improvement to ensure equitable access to education for all students. This review provides valuable insight into the perceptions of students and teachers towards online teaching-learning during COVID-19. However, limitations and challenges of the study include the limited number of studies analyzed and the heterogeneity of the findings. Future research should focus on the long-term impact of online teaching-learning on student and teacher performance, engagement, and satisfaction, as well as the implications for policy and practice. Overall, the review underscores the importance of considering the various factors that affect the perceptions of online teaching-learning and the need for continuous adaptation and improvement to ensure equitable access to education for all students.
Research Article
Khairol, I., Fadzlirahimi, I., Nordin, M.A., Muhammad Akmal, M.S. & Nor Hadijah. A.
Page No. 20-28
Abstract: The study was started to assess the early performance of rambutan yield characteristics planted on marginal sandy tin-tailing soil. The experiment was carried out for one year in a plot of 4-year-old rambutan cultivar at MARDI Kundang, Rawang, Selangor, Malaysia. Varieties of Mutiara Merah were used. Data from the plants as a measurement of yield characteristics was recorded. Mutiara Merah proved that it can be well-yield and cultivated on sandy tin-tailing soil. Mutiara Merah showed that it can be planted and farmed effectively on sandy tin-tailing soil, according to the results of the previous research. It can grow and be useful in boosting rambutan yield. Taking into account the fruit yield parameters as well as yield character components parameters such as fruit weight, seed weight, fruit diameter, flesh thickness, brix, and flesh weight, it can be concluded that rambutan cultivation in marginal tin-tailing soil was found promising for producing higher yields. More field studies are needed to standardize agro-techniques and establish the fertilizer requirements of chemical and organic fertilizers for higher yield in other marginal soils such as peat, bris, and acid sulphate soil, as well as create various value-added products to utilize excess produce.
Case Study
Case Study Teaching Method and Examples of Implementing Environmental and Law
Nguyen Anh Thu, PhD, Nguyen Trong Diep, PhD, Dinh Tran Ngoc Huy, MBA & Pham Hung Nhan, Master
Page No. 29-34
Abstract: Environmental protection activities mean activities to prevent and limit adverse impacts on the environment; responding to environmental incidents; overcome pollution, environmental degradation, improve environmental quality; rational use of natural resources, biodiversity and response to climate change. The Law on Environmental Protection has promoted the role of people, businesses and the whole political system in participating in environmental protection activities. This paper also present a case of Vedan and Thi vai river pollutions, via which authorities resolutely organize the implementation of measures to handle violations of the law on environmental protection for Vedan Company.
Research Article
Enhanced Technique for Credit Card Extortion Detection Using Extreme Gradient Boosting Algorithm
P. Sujitha & R. Vanitha
Page No. 35-45
Abstract: The most common issue in the modern world is the identification of credit card fraud. This is a result of the expansion of both online commerce platforms and online transactions. In utmost cases, credit card fraud occurs when the card is stolen and used for any unauthorised exertion, or indeed when the fraudster utilises the card's information for their own gain. The credit card scam detection system was introduced with machine learning algorithms to catch these actions. Financial fraud is a growing problem in the financial industry with long-term consequences. It becomes difficult for two main reasons: first, the profiles of legitimate and fraudulent behaviour are always changing, and second, the data sets for credit card fraud are quite biased. The main objectives of this study are to identify the various types of fraudulent credit cards and to investigate alternate fraud detection techniques. On severely skewed credit card fraud data, it evaluates the performance of Decision tree, Random Forest, Logistic Regression and Extreme Gradient Boosting (XG Boost).
Research Article
More Discussion on Land Law and Regulations for Industrial Zones Land
Nguyen Trong Diep, PhD & Nguyen Anh Thu, PhD
Page No. 46-50
Abstract: The study purpose is to present More Discussion on Land Law and Regulations for Using Industrial Zones Land. Land in industrial zones or land in industrial zones belonging to non-agricultural production and business land. This is land to build industrial clusters, industrial parks, export processing zones and other concentrated production and business zones with the same land use regime. The process of organizing the implementation of the 2013 Land Law has revealed shortcomings and limitations which is not suitable with the socialist-oriented market economy institution and the development requirements of the country.
Research Article
P. Divya & P. Yamini
Page No. 51-63
Abstract: The most common cancer-related cause of death globally is lung cancer. The key to effective lung cancer treatment and higher survival rates is early diagnosis. Converting a radiologist's diagnosing procedure to computer assisted results in more accurate results and an earlier diagnosis. The difficulty is that building an effective model for segmentation and classification. In this paper, we suggest a system for detecting lung cancer that makes use of a number of methods for precise and effective diagnosis. To enhance picture quality, our method pre-processes CT scan images using a Gaussian filter and contrast stretching. For the purpose of determining the borders of lung nodules with high precision, the U-Net architecture with the Adam optimizer is used. Then, a Gaussian mixture model (GMM) with EM optimisation and pixel padding is used to extract features. The rotational-based Convolutional Neural Network (RBCNN) classifier successfully categorises the nodules as benign and malignant using these form variables as inputs.
Research Article
Prediction of Road Accidents Using Machine Learning Algorithms
R. Vanitha & M. Swedha
Page No. 64-75
Abstract: Today, one of the top concerns for governments is road safety. There are many safety features built into cars, yet traffic accidents still happen frequently and are unavoidable. To lessen the harm caused by traffic accidents, predicting their causes has become the primary goal. In this situation, it will be beneficial to examine the frequency of accidents so that we can use this information to further aid us in developing strategies to lessen them. From this, we can deduce the connections between traffic accidents, road conditions, and the impact of environmental factors on accident occurrence. In order to construct an accident prediction model, I used machine learning techniques, including the Decision Tree, Random Forest, and Logistic Regression. The development of safety measures and accident prediction will both benefit from these classification systems. Several elements, including weather, vehicle condition, road surface condition, and light condition, can be used to predict road accidents. Three dataset files—accidents, casualties, and vehicles are loaded into this dataset. This allows us to forecast the severity of accidents.
Research Article
Physicochemical and Phytochemical Evaluation of Siddha formulation Saaranai chooranam
Dr.S.Sivalathajini, Dr.A.Manoharan & Dr.S.Umakalyani
Page No. 76-84
Abstract: Background: Siddha system of medicine depends largely on herbal for the treatment of diseases which was practiced at village levels and now becomes an important medicine in worldwide, According to the Akasthiyar -2000-Part– III textbook, Saaranai Chooranam is a herbal drug that is indicated for Raththa kothippu (Systemic Hypertension) Saaranai is the Tamil name for Trianthema portulacastrum, which belongs to the family Aizoaceae. Aim & Objective: This study primarily aims to evaluate the Physicochemical and Phytochemical evaluation of Saaranai Chooranam, Preliminary Phytochemical analysis such as High Performed Thin Layered Chromatography and Powder Microscopy of Saaranai Chooranam. Methodology: The Physicochemical analysis of Saaranai Chooranam is carried out using standard procedures. Results: Preliminary Phytochemical screening found, the presence of phytochemicals such as Proteins, Terpenoids, Alkaloids, Carbohydrates, and Tannins. High-performance thin-layer chromatography fingerprinting revealed the presence of many phytochemicals with different Rf values and densitometric scans of the plates showed numerous bands and peaks. The Powder Microscopy reveals the presence ofTracheidal fibre, Vessel with bordered pits, Calcium oxalate crystal, Stone cell, Group of sclereids with brownish content, Paracytic stomata and surrounding subsidiary cells, Rosette Calcium oxalate crystal, Sclereid with narrow lumen, Thick walled cells, Tracheidal fibre and Trichome. Physicochemical analysis revealed the values of total ash (17.86%), acid-insoluble ash (1.34%), water-soluble ash (13.62), sulphated ash (25.72%), pH (6.05 in 4% alcohol solution), volatile oil (0.5%), foaming index (111.11%) and swelling index (4ml). Conclusion: This study is an effort to explore the different Physico and Phytochemical compounds of Saaranai Chooranam effective in the management of Raththa kothippu (Systemic hypertension).
Research Article
A Thermoelectric Refrigerator Using Arduino
K.K. Shandhosh Shree, R. Jaysrani, S. Keerthika, S. Swetha & M. Vijayalakshmi
Page No. 85-90
Abstract: Refrigerator and air conditioners are the most energy consuming home appliances and for this reason many researchers had performed work to enhance performance of the refrigeration systems. Most of the research work done so far deals with an objective of low energy consumption and refrigeration effect enhancement. Thermoelectric refrigeration is one of the techniques used for producing refrigeration effect. Thermoelectric devices are developed based on Peltier and Seeback effect which has experienced a major advances and developments in recent years. The coefficient of performance of the thermoelectric refrigeration is less when it is used alone, hence thermoelectric refrigeration is often used with other methods of refrigeration. This paper presents a review of some work been done on the thermoelectric refrigeration over the years. Some of the research and development work carried out by different researchers on TER system has been thoroughly reviewed in this paper. The study envelopes the various applications of TER system and development of devices. This paper summarizes the advancement in thermoelectric refrigeration, thermoelectric materials, design methodologies, application in domestic appliances and performance enhancement techniques based on the literature.
Research Article
Does Specific Gravity of Urine Affects Cloth's Color Choice?
Muhammad Daniyal, Muhammad Imran Qadir & Muhammad Ejaz
Page No. 91-94
Abstract: Clothing color choice matters a lot as it defines a person’s psychology. The objective of the present examination was according to estimation for the specific gravity of urine. Outright 100 subjects took an intrigue. The measurement of solutes in the urine is said to be its urine specific gravity. In this we came to know the density of the urine. The density of water is considered to be about 1.000 and in this process we measure the density of urine and compare it with the density of the water. The normal density of urine is thought to be about 1.002 or 1.030. In the world, there are many traditions of clothing everywhere. Clothing express the culture of the area. Each society has its own clothing tradition and style. These traditions differ from area to area. This survey is completed by the t-test in the MS excel to get the desire outcomes. Linkage between ordinary specific gravity of urine (Mean±SD) with dim shading is given in graph 1. This examination contains 100 subjects in which 0 folks and 100 females were taken an intrigue. Student’s –t-test had associated, apparently it is related with the specific gravity of urine. It is non-significant as there is no significant relation found between the cloth’s color choice and specific gravity of urine.