Volume 12 | Issue 3 |

 Abstract

The concept of attitude encapsulates a multifaceted mental state comprising beliefs, feelings, and behaviours towards objects, individuals, ideas, or situations. Attitudes can be positive, negative, or neutral, formed through a complex interplay of personal experiences, social influences, and cognitive processes. While they can be relatively stable, attitudes are also subject to change and adaptation over time. They profoundly influence how individuals perceive, interpret, and respond to their environment, shaping their behaviours, decisions, and interactions. Understanding attitudes is crucial in fields such as psychology, sociology, marketing, and communication, as they play a pivotal role in determining human behaviour and societal dynamics.

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 Keywords

"ATTITUDE AND ATTITUDE MEASUREMENT FROM PAST TO TODAY"

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Automatic target detection holds a pivotal purpose in military operations, involving the recognition of military assets from captured imagery. The core idea in the realm of automatic target detection in warfare is to recognize military assets within the acquired images. To achieve this, efficient utilization of Convolutional Neural Network (CNN) architectures is employed for object recognition in the given images. Due to legal constraints and security considerations associated with military data usage, we have accessed diverse datasets obtained from platforms such as Kaggle, ImageNet, GitHub, and Roboflow. To enhance the automatic target detection process, the integration of the YOLO (You Only Look Once) algorithm is employed. YOLO, a real-time object detection algorithm, is utilized efficiently to processes images, allowing for the rapid identification and localization of military objects within the captured scenes. This integration of YOLO algorithm enhances the speed and accuracy of military object recognition, contributing to the overall effectiveness of automatic target detection in war operations. Training a deep learning model involves feeding it data and adjusting its parameters so that it can make accurate predictions. Train mode in ultralytics YOLOv8 is engineered for effective and efficient training of object detection models, fully utilizing modern hardware capabilities.

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 Keywords

Object detection, YOLO V8 algorithm, Deep learning, Convolution neural network(CNN), Ultralytics, Computer vision.

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Infrastructure investment plays a pivotal role in shaping economic growth and development worldwide. This paper provides a comprehensive analysis of the economic impact of infrastructure investment, drawing on extensive data and research from various sources. It examines the relationship between infrastructure investment and key economic indicators such as GDP growth, productivity, employment, and poverty alleviation. Furthermore, it explores the potential challenges and opportunities associated with infrastructure investment, considering factors such as funding mechanisms, project prioritization, and sustainability. By synthesizing existing literature and empirical evidence, this paper offers insights into the importance of strategic infrastructure investment for fostering sustainable and inclusive economic development.

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 Keywords

Infrastructure investment, economic impact, development, growth, employment, productivity, transportation, communication, energy, water, sustainability, public services, construction, innovation.

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This project is used to manage wastage foods in a useful way. Every day the people are wasting lots of foods. So we have to reduce that food wastage problem through mobile. If anyone has wastage foods they click message send button and it will send the message of food availability, location information and their registered mobile number to nearest (30km) food donators. Then who will make a call first they will get the food. This system is android based application provides interaction between mobile users and NGO's. The Food Donation Management System (FDMS) outlined in this methodology offers a comprehensive approach to addressing food insecurity by facilitating the efficient collection, storage, and distribution of donated food items. Through stakeholder engagement and needs assessment, the system is designed to meet the specific requirements of local communities. Key features include user-friendly platforms for donors to register and schedule pickups, logistics planning for efficient transportation and storage, volunteer management, and quality control measures to ensure food safety. The system incorporates monitoring and evaluation metrics to assess its impact on reducing food insecurity and allows for continuous improvement based on stakeholder feedback. By implementing the FDMS, communities can streamline their food donation processes and effectively address the challenges of hunger.

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Food Donation, Management System, Quality Control, Monitoring and Evaluation, Community Impact, etc.

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'Managing Technological Innovation' offers a comprehensive toolkit and real-world case studies tailored for research and development managers, guiding them through the entire process of effectively handling technological innovations -- spanning from identifying technological needs to product deployment. Addressing key policies and strategies, it provides crucial direction for research and development organizations in navigating the management of technological innovation. Emphasizing technological assessment, the text delves into methods for aligning technologies with strategic objectives, supplemented by illustrative case studies showcasing evaluation techniques."

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Navigating Technological Innovation Through Effective Management Strategies

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Creative Commons Attribution 4.0 and The Open Definition

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Recently face recognition has become an important area of research in computer vision, neuroscience, and psychology. In this process a new colour face recognition (FR) method is introduced. The effectiveness of colour information plays an important role when face images are taken under strong variations in illumination, as well as with low spatial resolutions. The proposed method has 3 steps. In the first step the input colour image is converted into various colour space models. In the second step eigen values and eigen vectors are extracted from each colour space models. In the final step a nearest neighbour classifier is designed for classifying the face images based on the extracted features.

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Facial recognition, Video analysis, Emotion detection, Facial expression analysis, Computer vision, Deep learning, Neural networks, Image processing, Human-computer interaction, Affective computing.

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This research paper investigates the evolving landscape of e-commerce and its profound impact on traditional retail businesses. The primary objectives are to identify recent e-commerce trends, analyse their implications for retail operations, and provide insights into strategies for adaptation and growth. Utilizing a combination of qualitative and quantitative methods, the study examines literature on e-commerce trends and conducts case studies of retail businesses that have successfully navigated this shifting landscape. Key findings reveal the dominance of mobile commerce, the rise of social commerce, and the importance of omnichannel strategies in engaging modern consumers. Moreover, the research highlights the significant challenges faced by traditional retailers, including shifts in consumer behaviour and increased competition from online marketplaces.

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technology Innovation

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Creative Commons Attribution 4.0 and The Open Definition

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Roland Barthes in his book Mythologies (1957) mentioned that myths are all about countermanding culture into common sense, norms and general opinion. This concept can be taken up to understand how dominant ideology functions. 'Hegemony', like myths, translates the perspective and opinions of the ruling class into common sense. This process is so gradual, natural and apolitical that it seems as if it never happened. The apparatuses that are responsible for this, are termed as 'ideological apparatuses" by Gramsci and one such major apparatus is 'advertisement'. Commercials can be collated into myths where they often resolve social contradictions, provide stringent framework of identity and very strategically celebrate the existing social order. In the technology driven world, advertisements and commercials are present everywhere. It is impossible to imagine contemporary Indian modern society without advertisements. They influence the social behavior of people, shape their opinion about everything from products to politics and impact the public sphere with powerful intensity. At present, they are playing a key role in the ideological transformation of public discourse and acting as a genuine mediator of hegemony. They are changing the contemporary public space, creating a framework of identity and celebrating the dominant. In this process, gender representation is a critical aspect to focus on. The Indian advertising industry has evolved into a humongous zone, modern day adverts have taken a complete makeover and an unceasing narrative of virtual reality led to genesis of characters that seem to belong to a parallel world. The predefined image of males and females represented through advertisements initiates the process of hegemony where these perspectives get transformed into common accepted behavior. Women are always represented in a particular shape, size and color. They, in most of the advertisements are treated as sexual objects whose job is to only woo a man. They are provided space either in a brand promoting domestic chores (dishwash, washing machines, cooking items) or as eye candy. These misrepresentations gradually change the public discourse and make people think along these predetermined lines. Through this paper, I intend to focus on the impact of modern-day advertisements on the public discourse. By taking print, digital and social media advertisement into consideration, the paper will highlight & critically analyze representation of Indian contemporary women in adverts and how these misrepresentations transform contemporary Indian public discourse.

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(Key Words: Commercials, Adverts, Advertisements, Stereotypes, Public Discourse, Media, Women, Sexual Objectification, Hegemony)

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During the Stone Age, the nomadic man was moving from one place to another for the three basic needs of food, clothing and shelter. He faced many obstacles when he got these three requirements. He learned to grow his own food as he was forced to deal with various situations like weather and animals. Realizing that rain and sun are essential for the yield of crops, man worshiped rain and sun as gods. He worshiped as gods the natural forces like the moon that gives light at night, thunder, lightning that creates fear in animals and the fire that he finds. At the time when he lived as an individual and started to live in a community, he worshiped the people who sacrificed their lives to save his community as gods. He took the middle stone and worshiped them. This Nadukal worship has changed from being a major deity worship to a minor deity worship. This article is about such minor deities.

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Deity, worship, Hero stone, inscriptions, Allothesim,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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