INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT最新文献

{"title":"Development of Pear Fruit RTS Beverage","authors":"Amit V. Zambare1, Dhananjay A Kulkarni, Mahesh B Patole","doi":"10.55041/ijsrem36833","DOIUrl":"https://doi.org/10.55041/ijsrem36833","url":null,"abstract":"The present study aimed to develop a nutraceutical ready-to-serve (RTS) beverage using pear fruit to enhance its nutritional value and extend its shelf life. Preliminary investigations were conducted based on the standards specified for RTS fruit drinks to create a suitable recipe. The RTS beverage was prepared with four levels of pear juice (35%, 45%, 55%, and 65%), sugar (10%, 15%, and 20%), and 0.2% citric acid. Sensory evaluation was carried out with the help of 30 trained panelists at seven-day intervals to determine the optimal juice concentration for the RTS. The sensory evaluation indicated significant differences between treatments concerning color, taste, consistency, and overall acceptability. The RTS beverage with 45% pear juice content and 15% sugar with 0.2% citric acid was selected as the best combination. A storage study was conducted to assess the effects on total soluble solids (TSS), acidity, and pH of the RTS over 35 days, with investigations at seven-day intervals. The study observed a slight increase in TSS from 17.5% to 18.9% and pH from 2.54 to 3.31, along with a slight decrease in acidity from 0.32% to 0.21%, when stored at room temperature (approximately 38°C to 41°C). Keywords: Pear fruit, RTS, TSS, Acidity, pH, storage study","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"10 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141797096","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":"AN OVERVIEW OF MACHINE LEARNING ALGORITHMS FOR WIRELESS SENSOR NETWORKS","authors":"Pritam Nanda, Sasmita Tripathy","doi":"10.55041/ijsrem36829","DOIUrl":"https://doi.org/10.55041/ijsrem36829","url":null,"abstract":"Wireless sensor networks (WSNs) are particularly desirable for real-time applications because of their small size, low cost, and simplicity of installation. Nevertheless, WSNs may need to be modified or redesigned due to a variety of internal or external circumstances, which is difficult for conventional, explicitly planned WSN systems to manage. Machine learning (ML) approaches can be used to solve this problem. ML makes it possible for networks to learn from their experiences and adapt without requiring reprogramming or human intervention.A prior investigation [1] examined machine learning methods for WSNs between 2002 and 2013. We review ML-based algorithms for WSNs from 2014 to March 2018 in this revised study, stressing their advantages, drawbacks, and effects on network lifetime. We also discuss machine learning techniques for energy harvesting, congestion control, mobile sink scheduling, and synchronization. The survey discusses why certain ML approaches are selected for particular WSN difficulties and offers a statistical analysis of the data obtained. We also talk about some outstanding issues in the sector. Keywords: Wireless sensor networks, Machine learning, Energy efficiency, Network lifetime, Data aggregation","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"3 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141797765","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":"Impact of Digital Transformation on Indian Manufacturing Industry","authors":"Jyoti Yadav","doi":"10.55041/ijsrem36835","DOIUrl":"https://doi.org/10.55041/ijsrem36835","url":null,"abstract":"Digital Transformation (DT) has become a significant phenomenon in the business environment in recent times, with a particular impact on the industrial sector. This study explores the complex dynamics of the industrial sector's digital transition with an emphasis on the effects on global commerce. The research sheds light on the potential and problems that Digital transformation in manufacturing presents by using a through methodology that includes literature evaluation. In this paper the digital transformation in the manufacturing sector and how it will affect Indian manufacturing companies' competitiveness and market positioning in the future. Additionally, it looks at how trade laws, trade practices, and digitalization processes interact within the Indian manufacturing sector to provide insight into how these variables are amongst themselves. Using a nuanced investigation, the study seeks to accomplish two principal goals: first, assessing the effects of digital transformation on the manufacturing sector in India; and second, examining how trade practices and policies both influence and are influenced by the digital revolution, consequently influencing international trade. Keywords: Digital Transforming, Manufacturing Sector, Global Commerce, Digitalisation, Trade Practices etc.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"76 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798355","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":"Structural Health Monitoring Using IOT","authors":"Karanam Rajasekhar, Mr. Zeeshan Khan","doi":"10.55041/ijsrem36802","DOIUrl":"https://doi.org/10.55041/ijsrem36802","url":null,"abstract":"In the construction industry, maintaining structural integrity is pivotal for safety, efficiency, and economic viability. Traditional inspection methods, often sporadic and reliant on visual assessments, can overlook critical issues, especially in challenging environments where access is restricted or hazardous. The integration of IoT (Internet of Things) technology has revolutionized structural health monitoring by enabling continuous, remote data collection and analysis through sophisticated sensor networks. These networks, comprising wireless sensors strategically placed across buildings or infrastructure, monitor a range of parameters including temperature, humidity, light levels, vibration, and structural strain. This real-time data is transmitted wirelessly to central hubs or gateways, typically utilizing cost-effective solutions like Raspberry Pi devices programmed with Python for efficient data management. The collected data is then processed and stored in cloud servers, leveraging the scalability and accessibility of cloud computing to facilitate advanced signal processing and analysis. MATLAB is utilized for its robust capabilities in numerical computing and visualization, presenting the data in graphical formats that highlight trends, anomalies, and potential deterioration patterns. Crucially, this system incorporates an alert mechanism, notifying stakeholders via email of critical sensor readings or emerging issues, enabling swift responses to prevent accidents or structural failures. The adoption of IoT-enabled structural health monitoring offers multifaceted benefits to the construction industry and broader economic landscape. By continuously monitoring infrastructure health, this approach allows for early detection of defects or wear, facilitating proactive maintenance interventions that can significantly extend the service life of buildings and infrastructure. This proactive maintenance not only enhances safety and reliability but also reduces long-term costs associated with reactive repairs and unplanned downtime. Moreover, by minimizing the need for frequent physical inspections, IoT technology contributes to environmental sustainability by reducing carbon emissions associated with transportation and improving operational efficiency through data-driven decision-making. These efficiencies translate into tangible economic gains, as stakeholders can optimize resource allocation, prioritize maintenance efforts, and mitigate the financial impacts of unexpected structural failures or degradation. From a safety perspective, IoT-enabled monitoring systems enhance risk management by providing real-time insights into structural conditions. By identifying potential hazards or weaknesses early on, stakeholders can implement targeted interventions to mitigate risks and ensure compliance with stringent safety regulations. This proactive approach not only protects human lives but also safeguards investments in infrastructure by preemptively ad","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"43 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799020","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 Complex Case of Partial Digeorge Syndrome with Multiple System Involvement: Seizure Disorder, Hypothyroidism and Recurrent Infection","authors":"Tijisha Mol J, Anna George, Khadheeja S Shahul, Subhala R","doi":"10.55041/ijsrem36819","DOIUrl":"https://doi.org/10.55041/ijsrem36819","url":null,"abstract":"DiGeorge Syndrome (DGS), or 22q11.2 deletion syndrome (22q11DS), is a genetic disorder characterized by a microdeletion on chromosome 22 at band q11.2, presenting with a range of clinical features including immunodeficiency, hypoparathyroidism, and congenital heart disease. Partial DiGeorge Syndrome involves a subset of these features, complicating diagnosis and management. This case study describes a 45-year-old female with partial DiGeorge Syndrome who presented with a seizure disorder, hypothyroidism, and recurrent infections. Following a fall, she sustained multiple facial bone fractures and developed respiratory symptoms. Her management included intensive care for seizure activity, correction of electrolyte imbalances, and treatment for respiratory complications and infections. The patient required multidisciplinary care involving neurologists, endocrinologists, and pulmonologists. The patient's complex presentation highlighted the need for comprehensive, coordinated medical care to address the multifaceted impacts of partial DiGeorge Syndrome. Key management strategies included continuous monitoring, endocrine support, and targeted antibiotic therapy. This case underscores the importance of a multidisciplinary approach in managing partial DiGeorge Syndrome, emphasizing the need for integrated care to improve patient outcomes and quality of life. KEYWORDS: DiGeorge Syndrome, Seizure Disorder, Hypothyroidism, Recurrent Infection","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"23 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799507","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":"Synergistic Effects of Silica Fume And Steel Slag And Steel Slag In Advanced Concrete Composites","authors":"Rishabh Hirwani, Dr. R.R.L Birali","doi":"10.55041/ijsrem36843","DOIUrl":"https://doi.org/10.55041/ijsrem36843","url":null,"abstract":"Concrete is highly versatile, capable of withstanding harsh environments and achieving inspirational forms. Modern advancements focus on enhancing its performance through innovative chemical admixtures and supplementary cementitious materials (SCMs). SCMs, often industrial byproducts like fly ash, silica fume, ground granulated blast furnace slag, and steel slag, replace a portion of Portland cement, reducing costs and environmental impact while improving concrete properties. Silica fume, a particularly successful SCM, significantly enhances concrete's strength and durability, especially in high-strength applications. Steel slag, a byproduct of steel manufacturing, shows potential as an aggregate in concrete, despite its tendency to expand due to free lime and magnesium oxides. Proper treatment and the use of pozzolanic materials like silica fume can mitigate this expansion. This study investigates the mechanical properties of concrete mixes using ACC brand slag cement, fly ash cement, and their blend (1:1), modified with 10% and 20% silica fume. Natural sand (zone II, IS 383-1982) serves as the fine aggregate, and steel slag (20 mm down) as the coarse aggregate, mixed in a 1:1.5:3 ratio. Tests on 7-day, 28- day, and 56-day compressive strengths, flexural strength, porosity, and capillary absorption were conducted. Key findings include an increased water requirement with higher silica fume content, higher early strength gain with fly ash cement, and better later strength with slag cement. Silica fume reduces capillary absorption and porosity, particularly with fly ash cement. Keywords: Concrete, Steel Slag, Silica Fume, Supplementary Cementitious Materials, Durability, Strength.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"32 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800651","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":"Introducing Concept of Fuzzy Support Matrix for Interestingness Measures","authors":"Swati Ramdasi","doi":"10.55041/ijsrem36778","DOIUrl":"https://doi.org/10.55041/ijsrem36778","url":null,"abstract":"Fuzzy association rules with its linguistic annotations and human interpretable form, has provided a convenient extension of association concepts to quantified attributes. The applicability is extended by combining extraction of both positive and negative association rules. Interestingness measures are used to filter out the useful and correct set of actionable association rules from the larger set of rules mined by association rule mining algorithms. Many measures such as Support, Confidence, Conviction and Certainty Factor, with their own area of applicability and statistical significance are popular. The wide range of measures is usually based on frequency counts or probability of occurrence of certain attribute patterns. Binary attributes uses a 2×2 contingency table as the basis for defining different measures. This paper presents concept of fuzzy support matrix using fuzzy partitions, as a natural extension of contingency table for the different interestingness measures. Those can be defined in a uniform and consistent manner. It uses the existing interestingness measures defined in new form using fuzzy support and illustrate these concepts using known data sets. This paper represent active research directions aimed at advancing the capabilities, applicability, and efficiency of fuzzy association rule mining in handling modern data challenges across various domains. Keywords: Interestingness measures; Association Rules mining; Fuzzy sets.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"14 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801252","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 of Real Time Image Processing for Object Detection","authors":"Prof. Shivaji Goroba Shinde, Mr. Shubham Suresh Patil","doi":"10.55041/ijsrem36808","DOIUrl":"https://doi.org/10.55041/ijsrem36808","url":null,"abstract":"In past days, capture images with very high quality and good size is so easy because of rapid improvement in quality of capturing device with less costly but superior technology. Videos are a collect of sequential images with a constant time interval. So video can provide also more information about our object when scenarios about to changing with respect to time. Therefore, manually handling videosit can be quite impossible. That time all that need an automatic devise to process these videos. In this thesis one such attempt has been made to track objects in videos. Many algorithms and technology have been developed to automate monitoring the object in a video file. Object detection and tracking is a one of the challenging task in computer vision. Mainly there are three basic steps in video analysis: Detection of objects of Interest from moving objects, Tracking of that interested objects in consecutive frames, and Analysis of object tracks to understand their behavior Some common choice to choose suitable feature to categories, visual objects are intensity, shape, color and feature points. In this thesis, we studied about mean shift tracking based on the color pdf, optical flow tracking based on the intensity and motion; SIFT tracking based on scale invariant local feature points. Keywords: real-time, object detection, tracking, surveillance","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"12 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802088","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":"CREATING A WEB APPLICATION AND ELEVATE LEARNING QUIZ","authors":"M. Ramya, S. Prakash, D. Tamilselvam","doi":"10.55041/ijsrem36815","DOIUrl":"https://doi.org/10.55041/ijsrem36815","url":null,"abstract":"This project aims to develop the implementation of a quiz web application using the Django framework, aimed at providing an intuitive and efficient platform for conducting quizzes online. The project focuses on creating a user-friendly interface for both quiz creators and participants, incorporating features such as user authentication, quiz creation, real- time quiz taking, and performance analytics. Utilizing Django's powerful tools and libraries, the application offers seamless integration of components like views, templates, models, and URLs, ensuring scalability, flexibility, and security. Key functionalities include the ability to create quizzes with customizable settings, such as time limits and question types, dynamic rendering of quiz content using templates, and interaction with a backend database for storing and retrieving quiz data. Additionally, the application provides comprehensive performance analytics for quiz creators and participants, enabling insights into quiz performance, participant engagement, and areas for improvement. Through its robust architecture and user-centric design, the quiz web application aims to revolutionize the way quizzes are conducted and experienced in an online environment, catering to educators, trainers, and organizations seeking an efficient and engaging quiz platform. Key Words: django,quiz web application,user-friendly interface","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"21 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799117","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":"Evaluating The Impact of Pozzoloniz Additives On The Mechanical Properties of Fiber-Reinforced Concrete","authors":"Om prakash, Dr. R.R.L Birali","doi":"10.55041/ijsrem36844","DOIUrl":"https://doi.org/10.55041/ijsrem36844","url":null,"abstract":"High-performance concrete (HPC) is defined as concrete that meets special combinations of performance and uniformity requirements that cannot always be achieved routinely using conventional constituents and normal mixing, placing, and curing practices. Ever since the term HPC was introduced into the industry, it has been widely used in large-scale concrete construction that demands high strength, high flowability, and high durability. High-strength concrete is always a type of HPC, but HPC is not always high-strength concrete. Specifying high-strength concrete does not ensure durability. Achieving a product that simultaneously fulfills all desired properties is challenging. Pozzolanic materials such as Ground Granulated Blast Furnace Slag (GGBS), silica fume, rice husk ash, fly ash, and high reactive metakaolin can be used in concrete as partial replacements for cement. These pozzolans are essential for producing HPC. In this study, X-ray diffraction (XRD) tests were conducted on these materials to analyze their constituents. Maintaining a minimal water-cement ratio is crucial, necessitating the use of superplasticizers, which play a significant role in HPC production. The study involved testing materials like rice husk ash, GGBS, and silica fume to achieve the desired properties. XRD tests were conducted on these pozzolanic materials to analyze their content. Synthetic fiber (Recron fiber) was added in varying percentages (0.0%, 0.1%, 0.2%, 0.3% by total weight of concrete), and concrete was cast. Additionally, different percentages of silica fume were used to replace cement while keeping the fiber content constant, and concrete was cast. Two types of cement were used: Portland slag cement and ordinary Portland cement. Mortar, cubes, cylinders, and prisms were prepared, followed by compressive, splitting tensile, and flexural tests. Porosity and permeability tests were also conducted. To achieve the performance characteristics not attainable with conventional concrete, numerous trial mixes were required to select the optimal material combinations. Keywords: High-Performance Concrete, Pozzolanic Additives, Fiber-Reinforced Concrete, Ground Granulated Blast Furnace Slag, Silica Fume, Rice Husk Ash, X-Ray Diffraction, Superplasticizer, Synthetic Fiber, Mechanical Properties, Durability.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"26 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800701","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}