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Volume 9 | Issue 8

Volume 9 | Issue 8 | Month  
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  Paper Title: SECURE ELECTRONIC HEALTHCARE (EHC) SYSTEM USING BLOCKCHAIN TECHNIQUE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020012

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020012

  Register Paper ID - 211142

  Title: SECURE ELECTRONIC HEALTHCARE (EHC) SYSTEM USING BLOCKCHAIN TECHNIQUE

  Author Name(s): Ms. Nilima V. Pardakhe, Dr. V. M. Deshmukh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 67-77

 Year: August 2021

 Downloads: 1074

 Abstract


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Blockchain, Healthcare System, EHR, Security

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  Paper Title: A CONVERSION CONCEPT FOR A LEGACY SOFTWARE MODEL TOWARDS AUTOSAR COMPLIANCE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020011

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020011

  Register Paper ID - 211143

  Title: A CONVERSION CONCEPT FOR A LEGACY SOFTWARE MODEL TOWARDS AUTOSAR COMPLIANCE

  Author Name(s): Vimal Sivashanmugam, Tobias Scheipel, Marcel Baunach, Bhargav Adabala

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 62-66

 Year: August 2021

 Downloads: 1146

 Abstract

Automotive Open System Architecture (AUTOSAR) is a commonly established standard for automotive software development. Over the last decade, the usage of AUTOSAR methodology for Electronic Control Unit (ECU) software development has gained popularity among the industries. While AUTOSAR has put forth an efficient methodology for the stepwise development of the software from the system design phase until the ECU integration phase, the guidelines for the conversion of a legacy software model into an AUTOSAR compliant software are not covered by the standard. This work investigates the direct conversion of legacy software into AUTOSAR compliant software. A suitable AUTOSAR conversion methodology has been identified and applied to the non-AUTOSAR legacy software by examining the deviations from the standard along the V-model development workflow. After the software has been converted to include the missing AUTOSAR features, it has been analyzed whether a complete AUTOSAR conformance is achievable.


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AUTOSAR, Electronic Control Unit, V-model.

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  Paper Title: SENTIMENT ANALYSIS OF TWITTER DATA USING MACHINE LEARNING ALGORITHM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020010

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020010

  Register Paper ID - 211145

  Title: SENTIMENT ANALYSIS OF TWITTER DATA USING MACHINE LEARNING ALGORITHM

  Author Name(s): Kunnal Jaluthria, Sumedha Seniaray

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 57-61

 Year: August 2021

 Downloads: 1073

 Abstract


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Sentimental analysis, Twitter, Valence Aware Dictionary and Sentiment Reasoner, Machine Learning, Naive Bayes, K-Nearest Neighbors, Logistic Regression, Support Vector Machine.

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  Paper Title: PROSTHETIC ARM WITH MICROCONTROLLER

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020009

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020009

  Register Paper ID - 211146

  Title: PROSTHETIC ARM WITH MICROCONTROLLER

  Author Name(s): Manan Kumar Gupta, Keyuri Gupta, Ishika Khanna, Ishika Khanna

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 52-56

 Year: August 2021

 Downloads: 1134

 Abstract

A prosthetic hand can be designed to replicate the normal functions of the human hand by obtaining electro potential muscle signals associated with finger movements. A low-cost myoelectric robotic arm is described in this paper. The goal of the developed device is to be used as an electromyogram (EMG) signal-controlled low-cost prosthesis. As the key controller, the Arduino Development Board is used. Theoretical findings have shown that without dropping the item the automated hand should be able to perform gripping and clasping operations.


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A prosthetic hand can be designed to replicate the normal functions of the human hand by obtaining electro potential muscle signals associated with finger movements. A low-cost myoelectric robotic arm is described in this paper. The goal of the developed device is to be used as an electromyogram (EMG) signal-controlled low-cost prosthesis. As the key controller, the Arduino Development Board is used. Theoretical findings have shown that without dropping the item the automated hand should be able

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  Paper Title: RADAR VISION- WEATHER FORECASTING USING CNN-LSTM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020008

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020008

  Register Paper ID - 211148

  Title: RADAR VISION- WEATHER FORECASTING USING CNN-LSTM

  Author Name(s): Sarvesh Landge, Sunil M. Wanjari, Brijesh Kanaujiya, Aditya Taksande, Rachit Khandelwal, Shienell Amair

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 47-51

 Year: August 2021

 Downloads: 1123

 Abstract

Due to the unpredictable swings in climatic and atmospheric conditions, weather forecasting is becoming a more important topic of study. Scientists have been developing novel strategies for training models to achieve accuracy over nonlinear statistical datasets for the past few decades in order to prevent future environmental damage and world disaster. Predicting the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Agriculture, which plays a crucial role in the Indian economy, predicts the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Artificial intelligence and machine learning have added a new dimension to the area of weather forecasting, requiring only a few perplexing mathematical equations. This study examines a variety of traditional strategies, ranging from classical weather forecasting to modern methodology such as data mining and artificial intelligence. This research also shows a proposed model that predicts with high accuracy and can be used in various time series forecasting applications.


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Weather forecasting, ConvLSTM, AI, ANN, Weather Elements, Accuracy.

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  Paper Title: IDS USING DATA-MINING TECHNIQUES & NONLINEAR FUZZY ROBUST PRINCIPAL COMPONENT ANALYSIS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020007

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020007

  Register Paper ID - 211149

  Title: IDS USING DATA-MINING TECHNIQUES & NONLINEAR FUZZY ROBUST PRINCIPAL COMPONENT ANALYSIS

  Author Name(s): Ms. R. K. Borikar, Dr.Mrs.S.S.Sherekar, Dr.V.M.Thakare

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 39-46

 Year: August 2021

 Downloads: 1054

 Abstract


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Intrusion detection, Hybrid Algorithm, PCA, Feature Selection SMO, K-Means, Clustering.

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  Paper Title: FAKE NEWS DETECTION USING VARIOUS MACHINE LEARNING TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020006

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020006

  Register Paper ID - 211150

  Title: FAKE NEWS DETECTION USING VARIOUS MACHINE LEARNING TECHNIQUES

  Author Name(s): Akanksha Akulwar, Anish Khobragade

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 35-38

 Year: August 2021

 Downloads: 1131

 Abstract

Online platforms are being used for outspreading malicious talk, which creates an impact on the minds of millions. Many distinct approaches have been brought forward to detect this fake news, but very few have been carried out in the actual world. We address this problem of estimating the rumor authentication in a real-world in less time with significantly high accuracy. We design and implement an approach addressing the above issue. We accessed whether the news is fake or not using various Machine learning techniques. We evaluate this algorithm on a set of data set scrapped from random online sites. The result shows that the performance of this improved algorithm is better than the original classification method. And finally, we consider various sizes of data to view and compare the accuracy.


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 Keywords

Support Vector Machine, Decision Tree, Fake Content, Naive Bayes, Machine Learning Models

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  Paper Title: SMART-SHOP CART

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020005

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020005

  Register Paper ID - 211151

  Title: SMART-SHOP CART

  Author Name(s): Tanisha Mittal, Vidhi Saxena, Sparsh Gupta, Varun Goel, (Mrs.) Pallavie Tyagi, (Mr.) Mudit Saxena

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 27-34

 Year: August 2021

 Downloads: 1089

 Abstract


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Smart Shopping Cart, RFID, ZigBee, Bluetooth, MCU, GPS, LCD.

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  Paper Title: A FRAMEWORK OF SELECTIVE CLUSTERING ENSEMBLE BASED ON K-NEAREST NEIGHBOUR APPROACH

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020004

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020004

  Register Paper ID - 211152

  Title: A FRAMEWORK OF SELECTIVE CLUSTERING ENSEMBLE BASED ON K-NEAREST NEIGHBOUR APPROACH

  Author Name(s): Miss.R. J. Wadnare, Dr. S. S. Sherekar, Dr.V. M. Thakare

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 19-26

 Year: August 2021

 Downloads: 1079

 Abstract


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 Keywords

nearest neighbour, Density peak clustering,ADB-DBSCAN, k-NN.

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  Paper Title: A POPULARITY PREDICTION MODEL FOR DETECTION OF THE TRUSTABLE CONTENT OVER SOCIAL MEDIA NETWORK BY USING FEATURE SELECTION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020003

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020003

  Register Paper ID - 211154

  Title: A POPULARITY PREDICTION MODEL FOR DETECTION OF THE TRUSTABLE CONTENT OVER SOCIAL MEDIA NETWORK BY USING FEATURE SELECTION

  Author Name(s): Mr. S. N. Ugale, Dr.Mrs.S.S.Sherekar, Dr.V.M.Thakare

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 12-18

 Year: August 2021

 Downloads: 1092

 Abstract


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 Keywords

Competitive Vector Auto Regression (CVAR), Term Frequency Inverse Documents Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) theme modelling, User Trust, Fake Information, Online Social Network (OSN), Multilayer Perceptron (MLP).

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  Paper Title: IMAGE SEGMENTATION AND LOCALIZATION IN RETINAL FUNDUS IMAGES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020002

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020002

  Register Paper ID - 211155

  Title: IMAGE SEGMENTATION AND LOCALIZATION IN RETINAL FUNDUS IMAGES

  Author Name(s): Soham Deshmukh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 8-11

 Year: August 2021

 Downloads: 1038

 Abstract


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 Keywords

Deep Learning, Object Detection, Neural Network, Segmentation.

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  Paper Title: SUPER BUGGY VULNERABLE WEBSITE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRTE020001

  Your Paper Publication Details:

  Published Paper ID: - IJCRTE020001

  Register Paper ID - 211156

  Title: SUPER BUGGY VULNERABLE WEBSITE

  Author Name(s): Rubal Gahlawat, Sweety, Shilpa Mahajan, Mehak Khurana

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: 1-7

 Year: August 2021

 Downloads: 1041

 Abstract


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 Keywords

Cyber Security, SQL Query, Attacker, Prevention, Flag, HTML Entities, Vulnerability.

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  Paper Title: MARKET RESEARCH AND ANALYSIS OF BAKERY INDUSTRY IN HYDERABAD

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0006

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0006

  Register Paper ID - 210939

  Title: MARKET RESEARCH AND ANALYSIS OF BAKERY INDUSTRY IN HYDERABAD

  Author Name(s): Ms. A. Santosh Kumari, Prabin Kumar Jha

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: a535-a682

 Year: August 2021

 Downloads: 1534

 Abstract

This project, on account of all the efforts put in, has helped me sharpen my research skills and put my theoretical knowledge to work. After spending a year of MBA program studying different research and marketing techniques, it has been truly a winning experience getting into the field. The project deeply relied on understanding the Hyderabad bakery market and customers, which led me on a course to getting hands on all kinds of information. Further putting my analytics skill acquired during the time, I was able to visualize a statistical view of the culinary customers and market. The project helped me in more than one way. First, it helped me understand the criticality of doing an in-depth market research before opening any new venture and gave me an elevated exposure to the importance of knowing your customer, which is the only way to ensure the success of any business. Through the customer survey, I understood how different customers can be from one another and how their needs vary drastically, leading me to a conclusion that if not of all, businesses should try to tender to the needs of most of their customers. I am hoping to put this information collected to real use and open my own bakery in Hyderabad someday.


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Market Research and Analysis of Bakery Industry in Hyderabad

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  Paper Title: GIS BASED TRAFFIC PARKING MANAGEMENT PROTOTYPE: A CASE STUDY OF VARANASI

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0005

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0005

  Register Paper ID - 211004

  Title: GIS BASED TRAFFIC PARKING MANAGEMENT PROTOTYPE: A CASE STUDY OF VARANASI

  Author Name(s): Shinde Mahesh K, Dr. Mohammad Zuhair

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: a492-a534

 Year: August 2021

 Downloads: 1451

 Abstract

Abstract Considering the increased number of vehicles every day, parking supplies should meet parking demands on transportation infrastructure. Irregular construction and excessive population growth in urban areas required re-planning and site selection of parking places. In this study, an analysis was developed to determine location-based parking demand by using Geographic Information System (GIS) techniques. After calculating parking demand and supply balance, the location-allocation techniques of network analysis were implemented to determine the best locations of parking, depending on parking demand. These processing tools were tested for an urban area. As a result, an innovative data processing method was developed to determine the best locations of car parking. Over the years, Geographic Information Systems (GIS) technology has been implemented for a variety of purposes within the transportation industry. With this have come many new uses, benefits, and challenges. This project is able to show the capacity of GIS to support transportation analysis and planning Keywords-component; parking, transportation planning geographic information systems, network analysis.


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parking, transportation planning geographic information systems, network analysis.

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  Paper Title: EVALUATION OF ANTIULCER ACTIVITY OF MENTHA ARVENSIS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0004

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0004

  Register Paper ID - 210830

  Title: EVALUATION OF ANTIULCER ACTIVITY OF MENTHA ARVENSIS

  Author Name(s): Mohammad Saleem, SHOBHA YADAV, ROHIT KUMAR

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: a465-a491

 Year: August 2021

 Downloads: 1413

 Abstract

Extract against anti-inflamatory medicine instigated gastric alcer. Mentha Arvensis extract was prepared by using continuous hor extraction (soxhlet) with ethanol.The extract were subjected to preliminary qualitative phytochemical investigation.The plant extract Mentha arvensis drug delivers a diminishing in the ulcer number in the aspirin instigated alcer model in rat.The remedial proportion in the aspirin initiated gastric model was 42%, 54%,72.9%, and 84.12% utilizing ethanolic extricate (100, 250,500 mg/kg), this shows that the plant has antiulcerogenic, antisecretory, and cytoprotective activities. The present data obtained from ethanolic extract of menthe arvensis


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Antiulcerogenic, * Antisecretory, * Cytoprotective activities.

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  Paper Title: ASSESSMENT OF CONTEXTUAL BARRIERS AFFECTING ART (ANTIRETROVIRAL THERAPY) ENROLMENT AMONG PLHA (PEOPLE LIVING WITH HIV AIDS ) IN A SELECTED DISTRICT

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0003

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0003

  Register Paper ID - 209829

  Title: ASSESSMENT OF CONTEXTUAL BARRIERS AFFECTING ART (ANTIRETROVIRAL THERAPY) ENROLMENT AMONG PLHA (PEOPLE LIVING WITH HIV AIDS ) IN A SELECTED DISTRICT

  Author Name(s): AIDA THOMAS

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: a385-a464

 Year: August 2021

 Downloads: 1544

 Abstract


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Assessment, Contextual, Barriers, ART, Enrolment, PLHA

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  Paper Title: A Comprehensive Overview of the Choice Based Credit System (CBCS) in Higher Education

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108525

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108525

  Register Paper ID - 291811

  Title: A COMPREHENSIVE OVERVIEW OF THE CHOICE BASED CREDIT SYSTEM (CBCS) IN HIGHER EDUCATION

  Author Name(s): Dr. Byanjana Chakravarty

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e621-e625

 Year: August 2021

 Downloads: 93

 Abstract

Over the past few decades, higher education has undergone significant academic and administrative reforms. A key change has been the shift from the conventional annual system to a semester system, and subsequently, to a Choice Based Credit System (CBCS), as recommended by the Gnanam Committee. The University Grants Commission mandated the adoption of CBCS in all universities and higher education institutions starting from 2015. This reform aims to align Indian higher education with global standards and meet the demands of the 21st-century knowledge landscape. However, empirical studies have highlighted issues such as a skill gap, particularly in communication skills, rendering many graduates unemployable. Additionally, outdated syllabi, limited course flexibility, lack of student mobility, and inadequate evaluation systems have been concerns. CBCS was introduced to address these issues, focusing on learner-centric methods, interdisciplinary approaches, skill-based courses, and flexibility. This paper examines the challenges and issues faced in the practical implementation of CBCS.


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learner-centric approach, interdisciplinary approach, Choice Based Credit System.

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  Paper Title: Comparative Study of Microbial and Polymer-Based Self-Healing Systems in Concrete for Infrastructure Durability

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108524

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108524

  Register Paper ID - 290925

  Title: COMPARATIVE STUDY OF MICROBIAL AND POLYMER-BASED SELF-HEALING SYSTEMS IN CONCRETE FOR INFRASTRUCTURE DURABILITY

  Author Name(s): Mr. Chetankumar Bhailalbhai Patel

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e613-e620

 Year: August 2021

 Downloads: 112

 Abstract

Concrete, the most widely used construction material in the world, is highly susceptible to microcracking due to the combined effects of environmental exposure and mechanical stress. Water, chlorides, and sulfates can penetrate through these microcracks, accelerating deterioration. Conventional repair methods are often labour-intensive, time-consuming, and costly. In contrast, self-healing concrete offers the ability to autonomously seal cracks and restore structural functionality. Microbial-based systems have gained significant attention due to their unique healing mechanism and performance characteristics. These systems rely on microbial-induced calcite precipitation (MICP), typically triggered by specific strains of urealytic bacteria. Polymer-based self-healing systems, particularly those utilizing superabsorbent polymers (SAPs), depend on physical swelling and water retention to block cracks and support autogenous healing. This comparative study evaluates both self-healing strategies with a focus on their crack-sealing capability, mechanical strength recovery, durability enhancement, and practical feasibility. The analysis is grounded in an extensive review of peer-reviewed literature. Microbial-based systems offer promising eco-friendly and sustainable healing, particularly in moist environments, but face challenges related to bacterial survivability and uniform distribution. On the other hand, SAP-based systems, though associated with higher costs and potential long-term chemical interactions, provide rapid and repeatable healing with better integration into the concrete matrix. The study suggests that hybrid and next-generation integrated systems represent a forward-looking approach to improving infrastructure resilience by tailoring self-healing strategies to specific structural and environmental conditions.


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 Keywords

Self-healing concrete; microbial-induced calcite precipitation; superabsorbent polymers; infrastructure durability; crack healing mechanisms; sustainable materials; strength recovery; durability performance; autonomous repair systems; polymer-based healing; microbial healing systems; MICP; SAP; concrete rehabilitation; eco-efficient construction materials.

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  Paper Title: Su-Ka-Pha the Founder of Ahom Kingdom in Assam : A Historical Study

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108523

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108523

  Register Paper ID - 289819

  Title: SU-KA-PHA THE FOUNDER OF AHOM KINGDOM IN ASSAM : A HISTORICAL STUDY

  Author Name(s): Dhruba Jyoti Dutta

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e608-e612

 Year: August 2021

 Downloads: 137

 Abstract

Chaolung Sukapha, the first Ahom king in medieval period, was the founder of the Ahom kingdom in Assam. A Tai prince originally from Mong Mao, (which is now included within the Dehong-Dai Singhpho Autonomous Prefecture of Yunnan in Peoples Republic of China), the kingdom he established in 1228 existed for nearly six hundred years and in the process unified the various tribal and non-tribal peoples of the region that left a deep impact on the region. He was a brave and courageous dignitary who enlightened every part of his kingdom. His good governance not only influenced the Ahom kingdom but also the other small states in Assam, then known as Kamrup. To make the Ahom dynasty powerful and permanent he undertook conciliatory measures towards the neighbouring kings. He appointed Katakis and two chief Buragohain and Borgohain which were most essential for the foundation, growth and prosperity of his newly established regime. Through this study, an effort has made to draw the role of Sukapha in founding Ahom dynasty in Assam and to understand his relation with other neighbouring countries in maintaining peace. In reference to his position in Assam's history the honorific Chaolung is generally associated with his name (Chao: lord; Lung great).


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Ahom Kingdom, Ahom dynasty, Assam, brave, founder, good governance, states.

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  Paper Title: Advance Smart Assistant for Differently able Persons Using Artificial Intelligence

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108522

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108522

  Register Paper ID - 288953

  Title: ADVANCE SMART ASSISTANT FOR DIFFERENTLY ABLE PERSONS USING ARTIFICIAL INTELLIGENCE

  Author Name(s): Madhu N Y, Latha P H, Mahesha L S

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e603-e607

 Year: August 2021

 Downloads: 138

 Abstract

Intherapidlyevolvingfieldofartificialintelligence,voiceassistantshavebecomeanintegralpartofmoderntechnology,significantlyimprovinghuman-computerinteraction.ThisprojectfocusesonthedevelopmentofanadvancedAI-poweredvoiceassistantdesignedtostreamlinevarioustasksthroughintelligentvoicecommands.Unliketraditionalvoiceassistantsthatprimarilyperformpredefinedtasks,thissystemoffersanexpandedrangeoffunctionalities,includingsendingWhatsAppvoicemessageswithoutmanualinput,openingwebsitesdirectlyviavoicecommands,performingreal-timeYouTubesearches,generatingtextandimagesusingAImodels,andanalyzingdocumentsforcontentextraction.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Advance Smart Assistant for Differently able Persons Using Artificial Intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition



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About IJCRT

The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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Call For Paper (Volume 13 | Issue 11 | Month- November 2025)

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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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