Volume 12 | Issue 2 |

 Abstract

Hunger remains a critical global issue affecting nearly one-third of the world's population, exacerbated by factors like poverty, inequality, crises, conflicts, climate change, and governance. India, despite its growing GDP, still grapples with high levels of Hunger, with 9.9% of its population undernourished. The Sustainable Development Goals (SDGs), particularly Goal 2 (Zero Hunger), have set a universal agenda to address this problem by 2030. Social entrepreneurship initiatives led by individuals like Muhammad Yunus and Scott Harrison have emerged to combat Hunger creatively. Kerala, a state in India, faces unique challenges due to limited food grain production, resulting in higher living costs. The Janakeeya Bhakshanasala, a government-supported social enterprise, is a noteworthy effort in the Kerala Hunger Free Project, providing free meals to the less fortunate through innovative means. However, its long-term sustainability and effectiveness require further study. Janakeeya Bhakshanasala, a "people's food court" in Kerala, India, run by the Snehajalakam Pain and Palliative Care Unit of CPI(M), offers free meals to the less fortunate with a unique model that relies on voluntary contributions. This study explores the functioning, sustainability, and impact of the Bhakshanasala. It accommodates the local community and operates with support from donations, sponsorships, and catering services. While it faces challenges, such as food shortages and waste management issues, it has successfully impacted the lives of employees and beneficiaries. The project's success can be attributed to community trust and involvement, making it a model for addressing Hunger and achieving the Sustainable Development Goal of "zero hunger." This initiative has provided meals, jobs, and a platform for social contribution.

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 Keywords

Hunger, Poverty, Sustainable Development Goals (SDGs), Janakeeya Bhakshanasala, Hunger, Social entrepreneurship, Snehajalakam Pain and Palliative Care Unit, Free meals Voluntary contributions, Community Trust, Zero hunger, Social contribution

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to the World Health Organization, around 40 million people are blind, while another 250 million have some form of visual impairment. They come across many troubles in their daily life, especially while navigating. They often depend on others for help to satisfy their day-to-day needs. So, it is quite a challenging task to implement a technological solution to assist them. Several technologies have been developed for the assistance of visually impaired people. One such attempt is that we would wish to make an Integrated Machine Learning System that allows blind victims to identify and classify real-time objects generating voice feedback and distance. Which also produces warnings whether they are very close or far away from the thing?

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blind assistance, machine learning, assistive devices, virtually-impaired people, obstacles detection, navigation and orientation systems, obstacles avoidance, neural architectecture search(NAS).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research proposes a novel approach to enhance the learning experience for slow learners by detecting their learning styles using fingerprint recognition technology. The proposed system integrates machine learning algorithms to analyze and classify learning styles based on the VAK (Visual, Auditory, Kinesthetic) model. By recognizing individual learning styles, the system aims to personalize educational strategies and resources to better suit the preferences and cognitive strengths of learners. This approach has the potential to optimize the learning experience for slow learners and improve their academic performance. The proposed system is expected to contribute to the development of personalized learning system that can cater to the diverse needs of learners.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fingerprint, Learning Style, Convolutional Neural Network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper is an attempt to critically examine the discipline of Economics. By introducing the concept of 'Popularized Economics', certain schools of thought are analyzed. While both classical and neo-classical schools are found to be patriarchal, it has been argued that Keynesianism can be partially viewed as feminist. Excessive patriarchy present in economic literature flows into classrooms through teaching which further hegemonizes male bodies. Such an approach creates a gender imbalance between women and men in a binary setup. Women's existence is undermined due to the application of popularized economics. Feminist Economics can be employed as a potential solution for producing sustainable masculinities and reimagining the discipline of Economics which will ultimately help to achieve the goal of gender inclusivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Popularized Economics, Feminist Economics, Hegemonic Male Bodies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this comprehensive study, we have advanced the field of agricultural technology by developing and comparing multiple deep learning models for the classification of rice varieties. Conducted in the agriculturally rich regions of Southern Bangladesh, our research utilized a diverse dataset comprising 20,000 high-resolution RGB images representing five principal rice varieties. The study primarily focused on a custom-engineered hybrid deep learning model, designed specifically for this agricultural application. This model's architecture encompasses an initial convolutional layer, zero-padding, batch normalization, and max pooling, followed by residual blocks that address the vanishing gradient problem, and concludes with Global Average Pooling leading into a Support Vector Machine (SVM) for final classification.Additionally, we incorporated and evaluated the performance of two renowned deep learning models: MobileNetV2 and VGG16. These models were adapted and fine-tuned to suit the specific requirements of our dataset and task. Across various metrics, including precision, recall, and F1-score, our hybrid model demonstrated superior performance, achieving an exceptional 99% accuracy. This was notably higher compared to the 95% and 93% accuracy achieved by VGG16 and MobileNetV2, respectively. Various optimizers, including SGD, RMSprop, Adam, and Nadam (all with a learning rate of 0.001), were employed to refine our models, with the Adam optimizer emerging as the most effective across all models.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rice, Adam optimizer, MobileNetV2, VGG16, Accuracy,Max pooling, Zero-padding

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 Abstract

ABSTRACT The study, design and finite element investigation of bolt and nut for fastening stress reduction were successfully investigated. researchers created a bolt of M6 with a hexagonal head of 12mm, and a hexagonal nut of M12 both having a right hand ANSI metric thread profile, with assigned material being Steel, High Strength, Low Alloy to reduce wear and tear using AutoDesk inventor. The created model was analyzed using FEA software. The bolt was first subjected to fastening moment of 240 N mm, with the nut being subjected to fixed constraints. Thereafter, the nut was subjected to fastening moment of 240 N mm with the bolt subjected to fixed constraints. Results showed that the ultimate tensile strength of assigned material reduced from 540 MPa to 448 MPa when fastening moment was applied at bolt head and Nut side respectively. This suggested that failure due to tensile stress would be predominant when fastening at the Nut side. Also, maximum fastening stresses were observed to be 7.109 MPa and 6.66822 MPa when fastening moment was applied at bolt head and Nut side respectively. This suggested that fastening at the Nut side would reduce fastening stress or thread wear. In addition, the maximum displacements were observed to be 0.00190463 mm and 0.00204884 mm when fastening moment was applied at bolt head and Nut side respectively. This indicated that fastening at the Nut side will give lesser revolution to achieve a tightened bolt and nut joint. Furthermore, the maximum contact pressures were observed to be 10.7241 MPa and 10.9924 MPa when fastening moment was applied at bolt head and Nut side respectively. This indicated that slippage is minimized at nut side fastening with high induce stress at the bolt shank, as the study revealed. The researchers made the following recommendations: Fastening at nut side should be adopted to reduce stress and maximize displacement/ advancement, bolt and nut design materials must have higher tensile strength rather than compressive strength or yield strength, since failure due to tensile stress is predominant, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords ---- Stress, Bolt and nut, Fastening, Finite element analysis, Turning moment, Constraints

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Intelligence, Self-Efficacy, School Environment, Teacher Effectiveness and High School Teachers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Several text-to-SQL systems have been created to bridge the gap between users and data, enabling individuals without SQL expertise to ask questions in natural language and interact with databases effectively. The progress observed in text-to-SQL tasks has contributed to advancements in deep learning methods. In order to truly advance the development of text-to-SQL systems, prior research needs to be deconstructed to comprehend the applicability and challenges of various strategies. The review paper's main goal is to give an overview of text-to-sql techniques that query data using natural language. This paper can help serve as a reference for researchers and practitioners interested in developing and applying natural language interfaces for data interaction in the era of large language models.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text-to-SQL ,NLP, GPT-3.5,SQL ,LLM ,Database

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing significantly alters the way we use computers and guarantees access and storage of our personal and business information. These new computing and communication models face new data security challenges. Existing data conservation procedures such as encryption fail to prevent data from the attacks of theft, especially in the cloud provider. So to overcome these problems we are proposing a new technology called Fog Computing. We propose a different approach in Fog computing to obtain data in the cloud using aggressive decoy technology and user behavior profiling. The users using the Cloud are trapped and their access patterns are recorded. Every User has a unique profile which is monitored and updated. We monitor data access in the cloud by the users and detect abnormal data entry patterns. When unauthorized access is suspected and challenged by challenge questions, we begin the wrong attack by returning the bulk of the information to the attacker. This protects users' real data from being misused. Experiments in a local file setting give evidence that this approach can provide an unprecedented level of user security in the cloud environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing,Fog Computing,Data Security,Abnormal Data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Securing information flow has emerged as a critical component of communication in the current digital era. It is crucial to have a strong encryption technique that can shield critical data from unwanted access given the rising number of cyber threats. Therefore, cryptography is essential for ensuring security. Symmetric Key and Asymmetric Key cryptography are the two fundamental types. Instead, then using many keys for encryption and decryption like Asymmetric Key does, Symmetric Key uses just one key.The most extensively used algorithms are those using symmetric keys. The difficulty of deciphering the original messages is what gives these algorithms their strength. Modulo69-based KED-A symmetric key is a cutting-edge encryption technique that offers secure data transfer. In this project data deduplication is a technique used to improve storage utilization by eliminating duplicate data. The technique of encoding plain information into an unintelligible format termed cipher text is known as encryption. Decryption is the procedure of turning encrypted text to plain text. Asymmetric key cryptography and symmetric key cryptography are the two forms of cryptography. Asymmetric key cryptography uses different keys, one for encryption and the other for decryption, as opposed to symmetric key cryptography, which uses the same key for both operations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Symmetric Key , Asymmetric Key Cryptography,De-ciphering,Encryption,Decryption.

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Creative Commons Attribution 4.0 and The Open Definition