International Journal of Innovations in Engineering Research and Technology最新文献

{"title":"ASSESSMENT OF THE PERFORMANCE OF ELECTRO-COAGULATION AND ELECTROLYTIC PROCESS IN THE TREATMENT OF PETROCHEMICAL EFFLUENT","authors":"Novateur Publications, Charles Osuji, Felix, I. Nwaogazie, Ejikeme Ugwoha","doi":"10.26662/ijiert.v11i7.pp1-13","DOIUrl":"https://doi.org/10.26662/ijiert.v11i7.pp1-13","url":null,"abstract":"This study was conducted to assess the performance of the electro-coagulation and electrolytic plant currently used in treatment of petrochemical effluents produced in petrochemical plant in the Niger-delta Nigeria. Data used in this study is the daily data of the petrochemical effluent at the inlet and outlet of the electro-coagulation and electrolytic treatment plant collected within the duration of six month (February to July 2023) and contain information on eight physicochemical properties of the effluents, namely: pH, Chemical Oxygen Demand (COD), Oil & Gas content (O&G), Total Suspended Solid (TSS), Total Dissolved Solid (TDS), Benzene-toluene-xylene content (BTX), turbidity and conductivity. The data of these physicochemical properties of the raw and treated effluent were evaluated on monthly averages and compared with National Environmental Regulation (NER) and World Health Organization (WHO) standards. The monthly-based performance of the treatment plant was also evaluated based on its ability to improve the physicochemical properties of the effluent. Descriptive statistics and T-test were used for the data analysis. The results showed that the physicochemical properties of the raw effluent were not within recommended standard while that of the treated effluent were within recommended standard except for pH (pH = 6.22, NER = 6.0 – 9.0, WHO= 6.5-8.5). The results showed that there is a significance difference between the physicochemical properties of the raw and treated effluents except for pH at 0.05 significance level, the results also revealed that the performance of the electro-coagulation and electrolytic treatment system is substantially high with respect to the treatment of the individual physicochemical properties of the effluents as follows: COD is 71.07%, Oil & Grease =79.38%, BTX =96.01%, TSS=75.08%, TDS=636%, Turbidity=76.3%, Conductivity =1200%. It was therefore concluded, among others, that electro-coagulation and electrolytic treatment system is suitable for treatment of petrochemical effluent. It was also recommended that designers of the petrochemical plant should improve its operations in a way that reduce the number of pollutants in their effluent","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"15 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A REVIEW PAPER ON FLEXURAL BEHAVIOR OF BAMBOO REINFORCED FERROCEMENT PANELS","authors":"1. NovateurPublications, Mukta S. Bangar, Dr. U. R. Kawade2","doi":"10.26662/ijiert.v11i6.pp1-7","DOIUrl":"https://doi.org/10.26662/ijiert.v11i6.pp1-7","url":null,"abstract":"By spreading and organizing the reinforcing elements differently from traditional reinforced concrete, ferrocement is a developing technology. It is made up of numerous layers of closely spaced wire mesh immersed in cement mortar. Steel has historically been utilized as reinforcement in concrete constructions, however due to cost and availability issues, it is becoming increasingly important to replace steel with another appropriate material. In the majority of the world's countries, the building sector is the largest user of resources and energy. Because bamboo is an inexpensive, naturally occurring material that is also widely available, wire meshes for reinforcing Ferrocement buildings can be replaced with bamboo. The testing findings of cement beams reinforced with varying numbers of bamboo mesh layers and bamboo reinforcement spacing are presented in this paper. These experimental experiments' primary goal is to determine how utilizing varying numbers of bamboo mesh layers and spacing variations affects the flexural strength of cement beams.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WATER FILTERATION USING THE COCONUT SHELL AND NEEM LEAF","authors":"Novateur Publications, P. S. Shinde, Prof. A. B. Landage","doi":"10.26662/ijiert.v11i5.pp29-36","DOIUrl":"https://doi.org/10.26662/ijiert.v11i5.pp29-36","url":null,"abstract":"Due to the demand for high-quality water in people's daily lives, water quality has currently become a serious issue. There are numerous ways to enhance water. As more than a billion people on earth, in rural area water purification technologies have developed over the past few centuries to preserve public health. No one on this planet has access to pathogen-free, safe drinking water. India is among inhabited nations in the world where the poor cannot afford a portable, clean water source quality. Surface water is treated using a set of filters made of local materials. The effectiveness of single media and dual media was examined in the study of media to eliminate turbidity, color, and germs.Along to minimize this problem there are permanent solution needed. But now days in rural areas its big issue to purifying drinking water with simple technics. Also, government have an over burden of this issue. The government gives efforts for water purification scheme in rural areas. But such scheme includes the modern technics of water purification like a water treatment plant [WTP], or online pressure filter. Such modern technics government gives initial funds but after implementation of such technics there have a some frequently maintenance required. For this maintenance government cannot having suitable funds. That’s reason this all maintenance cost bear by the local government bodies like gram panchayat. But those bodies cannot have suitable income for implement of scheme in future, so such schemes are discontinued and a person drinks the contaminated water. Its big issue for their health so now days it’s important to develop the convenient and budget friendly technic for purification of drinking water.Due to this reason we are develop the water purification filter with the help of coconut shell and neem, in very pocket friendly budget","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ROOT ZONE TECHNOLOGY FOR WASTE WATER TREATMENT","authors":"S. K.Marwade, O.V Gundecha, J.S. Gobare, T.R. Gavkhare, Prof. A.V. More","doi":"10.26662/ijiert.v11i5.pp12-20","DOIUrl":"https://doi.org/10.26662/ijiert.v11i5.pp12-20","url":null,"abstract":"In India, the primary cause of surface and ground water pollution is the discharge of untreated sewage, according to a 2007 study by the Central Pollution Control Board. In India, there is a significant delay between the generation and treatment of household wastewater. India's insufficient treatment capacity is not the only issue; there are also sewage treatment plants that exist, but they are not being maintained or operated. Because of poor design, inadequate maintenance, unreliable electricity supplies, absentee staff, and incompetent management, the majority of government-owned sewage treatment plants remain closed for the most part of the year. Usually, the wastewater produced in these places evaporates or percolates into the soil. Uncollected waste builds up in urban areas, releasing pollutants that seep into surface and groundwater and creating unsanitary conditions. Furthermore, industrialists prefer not to treat the waste produced and instead to dump it untreated into rivers in the areas where these treatment plants are located because the cost of treatment is so high.The Root Zone Treatment System (RZTS), sometimes referred to as the reed bed system or the constructed wetland system, is a sealed filter bed that is planted with vegetation that can grow in wetlands and is made up of a sand, gravel, and soil system, sometimes with a cohesive element. The wastewater flows through the filter bed, where biodegradation of the wastewater occurs, after the coarse and floating material has been removed. Complex physical, chemical, and biological processes that are the outcome of the interaction of wastewater, wetland plants, filter bed material, and microorganisms define the functional mechanisms in the soil matrix that are in charge of the mineralization of biodegradable matter.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"17 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MEDICAL INSURANCE PREMIUM PREDICTION WITH MACHINE LEARNING","authors":"Novateur Publications, Prof. M. S. Patil, Kulkarni Sanika","doi":"10.26662/ijiert.v11i5.pp5-11","DOIUrl":"https://doi.org/10.26662/ijiert.v11i5.pp5-11","url":null,"abstract":"A machine learning method for predicting health insurance rates is presented in this article. With healthcare expenditures becoming more complex, it is critical for insurance companies and policyholders to accurately estimate insurance prices. Utilizing a dataset that included medical history, demographic data, and other pertinent variables, a variety of machine learning techniques, such as ensemble methods and regression, were used to create prediction models. R-Squared and mean absolute error were two measures used to assess these models' performance. According to the developed models' results, insurance premiums can be predicted with accuracy, offering useful information for insurance counteragents. This approach has the potential to optimize pricing strategies, enhance risk assessment, and improve decision-making in the healthcare insurance sector. Machine Learning-Based Prediction of Medical Insurance Premiums Make predictions about health insurance companies based on personal traits. A dataset of policyholder attributes (such as age, gender, BMI, number of children, smoking behaviors, and geography) was gathered and preprocessed .Divide the data into sets for testing and training. Create and train a model for an artificial neural network with TensorFlow and Karas. R-squared metrics and mean R-squared error were used to assess the performance of the model. created a high R-Squared predictive model that was accurate. determined the main determinants of insurance rates. Machine learning has shown promise in estimating healthcare costs. This experiment demonstrates how well machine learning predicts medical insurance rates. Insurance companies may offer more individualized insurance plans, expedite the underwriting process, and help customers make well-informed decisions about their healthcare coverage by creating these predictive models. The created model can help policyholders make educated judgments and insurance companies establish proper prices. In the long run, our research helps the insurance industry enhance data-driven techniques, which benefits insurers as well as insured individuals in general.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"105 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PROFESSIONAL COMPETENCIES OF A TEACHER TRANSLATION AS A METHODOLOGICAL PROBLEM","authors":"Shermatova Bahora Isokul kizi","doi":"10.26662/ijiert.v11i5.pp1-4","DOIUrl":"https://doi.org/10.26662/ijiert.v11i5.pp1-4","url":null,"abstract":"The article discusses the radical changes in the education system in our country require new ideas and approaches to teaching, both foreign languages and translation. The process of globalization, international contacts and cooperation with foreign partners have contributed to the creation of numerous translation departments at higher educational institutions. The profession of “Translator” is in demand now more than ever.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140972147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CARDIO PREDICT: HARNESSING MACHINE LEARNING FOR ADVANCED HEART DISEASE RISK ASSESSMENT","authors":"Prof. M. S. Patil, Benkar Anuradha, Gaikwad Madhuri, Sawant Supriya","doi":"10.26662/ijiert.v11i4.pp28-32","DOIUrl":"https://doi.org/10.26662/ijiert.v11i4.pp28-32","url":null,"abstract":"Heart disease prediction using machine learning algorithms has gained significant attention due to its potential to improve diagnosis and treatment. This study explores various machine learning techniques and an algorithm applied to heart disease prediction. We analyze the performance of popular algorithms such as logistic regression, decision trees, random forests, support vector machines, and artificial neural networks on heart disease datasets. Additionally, we investigate the impact of feature selection, data preprocessing techniques, and model evaluation metrics on the predictive performance. The results demonstrate the heart disease risk, providing valuable insights for medical practitioner and researchers in the field of Cardiovascular health. The datasets used comprises a collection of patient data, including age, gender, blood pressure, cholesterol levels, and other relevant medical indicators. Neural networks are trained and evaluated to assess their performance in predicting the presence investigates the impact feature selection hyper parameter tuning. The results obtained provide insights into the strengths and limitations of different machine learning approaches for heart disease prediction, offering valuable guidance for healthcare practitioners and researchers in the field. Heart disease is prevalent and life-threatening condition worldwide. We analyze the performance of these algorithms using relevant metrics such as accuracy, precision, recall, and Fr-score. Additionally, we investigate feature importance to understand the factors contributing most to heart disease prediction. Our findings demonstrate the potential of machine learning in assisting healthcare professionals in early detection and prevention of heart disease, ultimately improving penitent outcomes and quality of life.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"64 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ENHANCING THE PROPERTIES OF CONCRETE BY USING ALKALINE SOLUTION AND ITS COMPARATIVE STUDY WITH CONVENTIONAL CONCRETE","authors":"Novateur Publications, S. J. Aher, S. P. Mandhare, S. S. Ghawate, R. Gite, Prof.A. H. Jamale","doi":"10.26662/ijiert.v11i4.pp19-27","DOIUrl":"https://doi.org/10.26662/ijiert.v11i4.pp19-27","url":null,"abstract":"The main aim of this project was to reduce the use of cement so as to produce a CO2 emission free cementitious material and Geopolymer Concrete (GPC) was the best alternative solution present out there. GPC utilizes industrial waste material such as fly ash from thermal power station to provide practical solution to waste management as well as environmental protection method. In this study we have used low calcium fly ash (ASTM class F), along with fly ash, water was enable to bind effectively. Therefore we also have replaced water completely with alkaline solution to hold fly ash, aggregate and sand together. The alkaline solutions we have used are – sodium hydroxide (NaOH) and sodium silicate (Na2SiO3). The main purpose to introduce alkaline solution was polymerization. That is the reason scientist Davidovits named this mix as geopolymer concrete.GPC required high temperature for curing to happen the polymerization, Thus, the curing of GPC was done at ambient temperature without keeping it in water unlike the conventional concrete. Amongst both the alkali solutions i.e. NaOH and Na2SiO3, sodium hydroxide was used in different molar concentration of 10M, 12M and 14M with keeping silicate to hydroxide ratio constant as 1.5, three different sets of 9 cubes, 3 beams and 3 cylinders were casted.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140686491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FLEXURAL BEHAVIOR OF BAMBOO REINFORCED FERROCEMENT PANELS","authors":"Novateur Publications, Mukta S. Bangar, Dr. U. R. Kawade","doi":"10.26662/ijiert.v11i4.pp13-18","DOIUrl":"https://doi.org/10.26662/ijiert.v11i4.pp13-18","url":null,"abstract":"Ferrocement is an emerging technology that differs from conventional reinforced concrete by the manner in which the reinforcing elements are dispersed and arranged. It consist of closely spaced, multiple layers of wire mesh embedded in cement mortar. Traditionally steel is used as reinforcement in concrete structures; but because of cost and availability, replacement of steel with some other suitable material as reinforcement is now a major concern. The construction industry is the main consumer of energy and materials in most of the countries. Since Bamboo is a natural, ecologically friendly, cheap and also readily available material; it can be use as a substitute of wire meshes in reinforcing of Ferrocement structures. This study describes the results of testing of Ferrocement beams reinforced with different number of Bamboo mesh layers and variation in spacing of bamboo reinforcement. The main objective of these experimental tests is to study the effect of using different numbers of Bamboo mesh layers and spacing variation on the Flexural strength of Ferrocement beams.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"279 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140704151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ORGANIZATIONAL RESILIENCE AND EMPLOYEE PERFORMANCE IN CRISIS ECONOMY","authors":"Novateur Publications, Yebimodei George, Esther, Agonimi Odubo","doi":"10.26662/ijiert.v11i4.pp1-12","DOIUrl":"https://doi.org/10.26662/ijiert.v11i4.pp1-12","url":null,"abstract":"The aim of the study was to critically analyze the significance of organizational resilience on employee performance, especially during crisis situation, such as the recent Covid-19 pandemic that keep all the nations and business organizations in a state of chaos It could be seen that firms all over the world are crying wolf due to the loss of manpower, low profitability, low productivity, poor service delivery and so on, as a result of the Covid-19. The cause of the low performance could be attributed to not being pro-active by the employees, or non-anticipation of perturbations, inability to learn from experience, inability to adapt and dynamic capability to work in any given environment and changes in policies and programmes as the situation demand to achieve organizational sustainability. Therefore, organizational resilience is the ability of organizations to prepare, absorb shock or develop resistance in the face of perturbations within its environment, and surmount all insurmountable to move to a better next level. The study concluded that organizational learning, adaptive capacity and dynamic capability have significant relationship with employee performance. Hence, the study recommended that management should foster conducive organizational learning, adaptive capacity and dynamic capability, as these will equip the employees to remain with the organization, and put up their best work effort for increased productivity and profitability.","PeriodicalId":517765,"journal":{"name":"International Journal of Innovations in Engineering Research and Technology","volume":"39 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140705381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}