International Journal of Innovations in Engineering Research and Technology
Not a member yet
3326 research outputs found
Sort by
Weedinator- Weed Identification and Removal Using Image Processing
Get PDFAgriculture is facing crisis in terms of production due to unwanted weed among the crops. The main objective of this work is a weed control system that differentiates the weed from crops and restricts weed growth alone by the precise removal of it. This is implemented in real time by capturing the images of the field at regular intervals and processing them with a Raspberry Pi board by making use of an image processing algorithm to differentiate the desired plants from the weeds. This is based on features like color and size of the crop and weed. Once the weeds are identified and located correctly through image processing, a signal is transmitted from the Raspberry Pi board to turn on the weed cutting system and spraying herbicides for required area only
THD analysis using Three and Five Level Inverter
Get PDFThe main disadvantage of Inverters is total harmonic distortion (THD) and harmonics. In this article, harmonics and THD are examined. A stepped multilevel inverter topology is used to suppress the harmonics generated at the inverter output. Cascading multilevel inverters are most useful for fuel cell orbattery storage power. The rated voltage of the battery is low and the cascade inverter input must be low voltage to get 230 v output. The harmonics of the single-phase load and the inverter output are investigated. Compare the harmonics and THDs of 3 and 5-level stepped multilevel inverters with conventional inverter drives. The multilevel inverter topology suppresses harmonics and THD. The result was analyzed using hardware with a spartan-3 FPGA board
Amazon’s Fake Review Detection using Support Vector Machine
Get PDFOnline user data is crucial to the marketing process since it affects consumers\u27 daily lives. False product reviews have a negative impact on the enterprise\u27s capacity to analyze data and make decisions with confidence. Some users have a propensity to disseminate unconfirmed fake news on internet sites. Today, it is crucial to be able to recognize fake reviews. Many websites provide things for sale to consumers online. Purchasing decisions can be made based on product reviews and market demand. On the basis of reviews, consumers determine whether a product is acceptable for use or not. There will be hundreds of comments about the product, some of which may be false. We provide a mechanism to identify fake reviews of items and indicate whether they are reliable or not in order to distinguish between them. This approach for identifying false reviews describes the use of supervised machine learning. This methodology was devised in response to gaps because traditional fake review detection methods classified reviews as authentic or falseusing either sentiment polarity scores or categorical datasets. By taking into account both polarity ratingsand classifiers for false review identification, our method contributes to closing this gap. A survey of already published articles was conducted as part of our effort. Support Vector Machine[2], a machine learning technique, used in our system produced accuracy of 80%
Voice Chat Bot in Healthcare System
Get PDFThe economic activity that is created by technology companies to fulfil consumer demand via the immediate provisioning of goods and services is called On-Demand Architecture. Our On-Demand Service Delivery models ensure that customer get the benefit from the quick availability of Services and when you need them. Healthcare payers, providers, including medical assistants, are also beginning to leverage these AI-enabled tools to simplify patient care and cut unnecessary costs. Whenever a patient strikes up a conversation with a medical representative who may sound human but underneath is an intelligent conversational machine. Normally Users are not aware about all the treatment or symptoms regarding the particular disease. For small problem user have to go personally to the hospital for check-up which is more time consuming. Such a problem can be solved by using medical Chat Bot by giving proper guidance regarding healthy living. The idea to create the voice chat bot using AI and ML is to diagnose the disease and provide the basic details about the disease before consulting a doctor. The chat bot basically stores the data in the database to identify the sentence keywords and to make a decision and answer the question regarding to details given by the user. This paper describes a healthcare voice chatbot using the machine learning algorithm which predicts the accuracy of disease. There are many machine learning algorithms that can be used to predict the disease. Support Vector Machine learning technique is primarily used to achieve precise prediction and boost the efficiency of the model. The system uses Natural Language Processing to achieve the style of chatting. Using this approach people can reduce spending time in hospitals and receive low cost or cost-free services
PARALLEL INDEXING ENGINE AND SPAM FILTERING FOR SEARCH ENGINES
Get PDFThe growing reliance on online information and the potential financial benefits associated with it. Search engines serve as gateways to the vast amount of information available on the World Wide Web, and as a result, some individuals or organizations attempt to deceive search engines to achieve higher rankings in search results, aiming to attract user attention. This practice has become increasingly common in recent years. Many websites now receive a significant portion of their traffic from search engine referrals. The main objective of a search engine is to provide high-quality search results by accurately identifying web pages that are most suitable for a specific query and presenting them to the user. Relevance is typically assessed based on the textual similarity between the query and a web page. Pages are assigned a query-specific numeric relevance score, where a higher score indicates greater relevance to the query
A NOTE ON PSEUDO SYMMETRIC IDEALS OF PARTIALLY ORDERED TERNARY SEMIGROUPS
Get PDFIn this article, we study some interesting properties of pseudo symmetric ideals and prime pseudo symmetric ideals in partially ordered ternary semigroup
AUSTRALIAN ACCENTS AND DIALECTS IN THE CONTEMPORARY ENGLISH
Get PDFThe mainstream Australian accent is a distinct accent produced by native English speakers in Australia. It’s a tough accent to replicate, even for actors in Hollywood.Some speakers may wish to incorporate some local, Australian pronunciation features into their speech patterns. If so, we can assist you by providing you with information on what you might like to add in and how to do it! Other speakers may want to sound more intelligible but neutral, we can also assist you. Australian pronunciation is one of the many speech pronunciation codes we can follow if you wish to work on your pronunciation. Read more about what features you can work on with us to incorporate some rules of Australian English into your pronunciation
DEVELOPMENT OF GENDER CULTURE OF WOMEN IN MEDICAL EDUCATION
Get PDFThis article analyzes the role of women in the socio-political life of our country on issues of gender policy in medical education, the issues of equal opportunities for women and men in the strategy for achieving gender equality
BANK INNOVATIONS AND THEIR IMPACT ON THE ECONOMY
Get PDFIn the current century, the penetration of financial technologies in banking has widely changed the architecture of the banking service market of the world. Their appearance affects not only the banking systems of countries but also the economies of countries. The article analyzes the influence of the implementation and use of innovative banking technologies on the financial sector and economies of the different regions and countries of the world
PARAMETRIC, NONLINEAR KINETIC AND THERMODYNAMIC MODELING OF PETROLEUM ETHER-BASED NEEM SEED OIL EXTRACTION PROCESS
Get PDFThe parametric, thermodynamic, and nonlinear kinetic modeling and the impacts of process factors on the Neem oil extraction process were studied using petroleum ether as solvent. Power law, pseudo-second-order, parabolic-diffusion, pseudo-first-order, Elovich, and hyperbolic models were the kinetic models examined. Process parameters such as average particle size, time, and temperature of the oil extraction were studied. The parameters of thermodynamics, including enthalpy, entropy, and Gibb free energy, were determined. It was discovered that while the yield of oil extraction varied inversely with an increase in particle size, it varied directly with increases in temperature and time. At 74 oC, 0.1 mm, and 180 minutes throughout the extraction process, the highest oil yield of 38.8% was achieved. In terms of performance, the hyperbolic, parabolic, elovich, and power-law models gave an excellent fitting to the experimental data. The models that best fitted the experimental kinetics data under investigation were the power-law and parabolic models, which concurrently had the lowest average SSE and RMSE values, and the highest R2 and adj- R2. Pseudo-first- and pseudo-second-order models, however, failed to provide a sufficient fit for the experimental data. The endothermic, irreversible, and spontaneous nature of the Neem oil extraction process was shown by the average Gibb free energy, enthalpy, and entropy values of the process at 328K and 0.1mm, which were -1.54kJ/mol, 30.13kJ/mol, and 0.10kJ/mol, respectively