Volume 12 | Issue 4 |

 Abstract

ABSTRACT Acquiring new customers has to be considered equally significant to the customer retention process. Since the company's ability to grow its customer base determines the long-term success of the company, companies need to consider customer acquisition as an ongoing process. The customer acquisition management process involves identifying, attracting, and retaining potentially profitable customers. This chapter starts with examining the phases of the lead management process. Understanding customers is seen as important for effective lead management. After explaining lead generation and lead nurturing within the context of lead management, this chapter ends up underlining the importance of lead management automation for customer acquisition.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Client Acquisition Strategy Towards Ether Infotech Pvt Ltd

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The impact of a dangerous workplace on employee health and productivity has caused many firms to place a high priority on workplace safety. Employees are constantly exposed to a variety of risks at all times and places when working in today's vast construction/manufacturing complexes and other dangerous industrial locations. The incidence of accidents is therefore higher than in other industries due to the greater number of risk variables, and it is mandatory that workers wear personal protective equipment (PPE) to shield their bodies from hazardous causes. Accidents resulting from failure to wear personal protection equipment, such as safety helmets, are among the most frequent safety incidents at industrial sites. In actuality, the majority of current safety inspection procedures depend on the manual monitoring and reporting of inspectors. Observing construction sites by hand can be labour-intensive, prone to mistakes, expensive, and unsuitable for larger projects with multiple ongoing operations. Many studies on automatic helmet wearing detection and human identity identification have been published, with the goal of assisting safety inspectors on construction sites in their duties of monitoring worker safety. Another study claims that helmet wear can be integrated with person identification using computer vision. Stated differently, during helmet testing, we typically lack the ability to identify specific individuals, and vice versa. We suggest a computer vision-based approach to automatically detect workers' identity and helmet wear in order to address the aforementioned issues. Firstly, our approach combines two uses: identification and helmet wearing detection. Second, we evaluated the algorithm's accuracy and recall rate in various visual settings to determine its applicability in the actual construction site environment. This was done in accordance with the varying visual conditions on the construction site.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Computer vision base approach, Helmet detection, Features extraction, Object detection, Worker safety

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In an era dominated by digital interactions, social media marketing has emerged as a pivotal tool for brands to connect with consumers. This thesis embarks on a multifaceted exploration of the efficacy and nuances of social media marketing campaigns. The primary objective is to scrutinize the intricate relationship between the frequency of exposure to these campaigns and consumers' engagement with brand content and messaging. Through empirical analysis and theoretical frameworks, the research endeavors to unveil the underlying mechanisms driving consumer behavior in the digital sphere. Furthermore, the study delves into the realm of product categorization and industry variations, seeking to discern whether the impact of social media marketing campaigns exhibits heterogeneity across different sectors. By dissecting the differential effects across various product categories or industries, the research aims to provide nuanced insights into the dynamic landscape of consumer responses to marketing stimuli.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MEASURING THE EFFECTIVENESS OF SOCIAL MEDIA MARKETING CAMPAIGNS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human resource management is concerned with people element in management. Since every organization is made up of people, acquiring their services, developing their skills/ motivating to high level of performances and ensuring that they continue to maintain their commitments to the organization which are essential to achieve organizational objectives. This project is meant to know the Human Resource Policies in the organization. The HR Policies are a tool to achieve employee satisfaction and thus highly motivated employees. The main objective of various HR Policies is to increase efficiency by increasing motivation and thus fulfil organizational goals and objectives.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

hr policies, hyundai mobis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This research delves into the application of machine learning algorithms for forecasting crime hotspots by leveraging historical data of public property crime in a major coastal city in southeast China. The study conducts a comparative analysis, emphasizing the predictive efficacy of various machine learning models. Results indicate that the LSTM model surpasses other methods including KNN, random forest, support vector machine, naive Bayes, and convolutional neural networks when utilizing solely historical crime data. Moreover, integrating built environment data such as points of interest (POIs) and urban road network density as covariates into the LSTM model enhances predictive accuracy. These findings bear significance for shaping policing strategies and implementing measures for crime prevention and control.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LSTM model, Comparative analysis, Predictive power, Points of interest (POIs)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As agricultural technology is rapidly changing, Homestead apparatus, ranch building and office building are being continually improved. Photovoltaic force age offers the advantages of a clean, non-dirty power age, an increase in intensity near the purchaser with almost no upkeep requirement, and a particularly long life span. This paper proposes a solar- based photovoltaic (S PV) water siphoning system will be facilitated by a single-stage transport structure using IMD (Induction Motor Drive) with a sharp power-sharing approach. Without a trade of force to DC to DC converter from SPV to IMD converter is utilized as a network interface gadget and a force factor adjustment unit. For the good use of the SPV cluster, it is important to remove the most extreme force from the SPV exhibit. In order to achieve this goal, a gradual conductance based on the highest force point after the control is carried out. While a simple voltage / recurrence control system is used to control the IMD connected to the voltage source inverter.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Voltage source inverter, brushless DC motor, solar photovoltaic array, water pump, buck-boost converter

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The relationship between societal stigma, self esteem and cancer is complex. Societal stigma surrounding cancer can lead to negative perceptions, discrimination, feeling of shame and decrease in self esteem. The aim of the present investigation was to study the effect of societal stigma on self esteem among cancer patients. A random sample of 60 cancer patients were selected for the present investigation. Out of the total sample of 60 cancer patients, 30 were men and 30 were women. The 30 men were divided into 15 men from middle adulthood and 15 men from late adulthood and the same was done for women. The tools used for the investigation were Cancer Stigma Scale (CAAS) devised by Marlow & Wardle (2014) and Rosenberg's Self Esteem Scale (RSES) developed by Morris Rosenberg (1995). The questionnaires were administered, and the data was collected, tabulated and subjected to statistical analysis using the statistical tests for mean, standard deviation, 't' test and Karl Pearson's Coefficient of Correlation. The results showed no significant difference in the effect of societal stigma on self esteem between adults belonging to middle and late adulthood. A slight difference was found in the effect of societal stigma on self esteem between men and women suffering from cancer, women showed a higher self esteem than men. A significant relationship was noted between societal stigma and self esteem among cancer patients.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Societal Stigma, Self Esteem, Cancer, Gender, Age

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has acted as a catalyst for the rapid acceleration of digital marketing in India. Businesses are swiftly adapting to the "new normal," leveraging online platforms to connect with their target audiences amid restrictions on physical interactions. Social media marketing has witnessed a significant surge, capitalizing on increased user engagement during lockdowns. Simultaneously, influencer marketing has gained prominence, with brands collaborating with popular social media personalities to create authentic content. E-commerce has experienced a substantial rise, driven by the closure of physical stores and the preference for contactless transactions. To enhance online visibility and conversions, businesses are investing in tools like SEO, PPC advertising, and email marketing. The pandemic has highlighted the importance of data-driven marketing strategies, prompting businesses to utilize data analytics and AI for personalized initiatives. In conclusion, the pandemic has transformed India's marketing landscape, presenting both challenges and opportunities. Businesses that innovate, adapt to changing consumer behavior, and effectively utilize digital marketing tools will thrive in the competitive market.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Covid-19, E-commerce

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AI Rotoscoping is a transformative project that introduces cutting-edge artificial intelligence (AI) technologies to revolutionize the traditional rotoscoping process in video animation. Rotoscoping, a fundamental aspect of animation and visual effects, involves meticulously tracing objects frame by frame in live-action footage to create compelling animations. However, this process is notorious for its time-consuming and labor-intensive nature, often impeding the efficiency and creativity of animators. Our project addresses these challenges by integrating advanced AI algorithms to automate and enhance the rotoscoping workflow. The AI Rotoscoping system employs deep learning models to intelligently track and separate objects from the background in video frames, significantly reducing the manual effort required in the traditional rotoscoping process. This innovative approach empowers animators and visual effects artists to allocate more time and energy to creative aspects rather than getting bogged down in meticulous frame-by-frame detailing. Key features of the AI Rotoscoping project include precise object segmentation, leveraging state-of-the-art computer vision techniques. The system employs advanced motion tracking algorithms to ensure accurate object movement across frames, maintaining consistency and improving overall workflow efficiency. Semantic understanding is incorporated into the AI model to distinguish between various elements in the scene, reducing errors and enhancing the accuracy of the rotoscoping process.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rotoscoping, Video Segmentation, Manifold Models, Shape Models

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the digital era, the vast array of online content poses a significant challenge for users seeking relevant information, primarily due to the absence of emotionally resonant titles. Existing title generation methods falter in capturing nuanced emotional tones, resulting in diminished user engagement. Moreover, current systems lack adaptability to user preferences and real-time trends, thereby limiting their efficacy across diverse audiences. This paper advocates for a novel title generation system that harnesses advanced sentiment analysis techniques and innovative language generation strategies to craft captivating, emotionally resonant titles. The proposed system aims to accurately reflect content sentiment. Furthermore, it seeks to dynamically adapt to evolving content landscapes, thereby enhancing content discoverability and enriching the online browsing experience across various platforms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis Title Generation Digital Age Content Crafting Online Engagement Personalization Emotional Resonance User Preferences Dynamic Adaptation Transformer Models

  License

Creative Commons Attribution 4.0 and The Open Definition