International Journal of Engineering and Management Research
Not a member yet
1311 research outputs found
Sort by
The Impact of Influencers on Consumer’s Content Consumption of Online Streaming Platforms in Delhi
No full textThis study aims to provide fruitful insights regarding the impact of influencers on digital content consumption on online streaming platforms among consumers of Delhi by considering some demographic aspects. We did a systematic literature review to find out the impact of influencers on digital content consumption in Delhi. It also consists of the various genres and streaming platforms that are famous nowadays in Delhi. The Systematic literature review technique is used in a way that will find the appropriate variables and entertain the exact research gap found during the process. This study includes 250 individuals from different characteristics with the help of convenient sampling techniques. It also indicates the perception of people residing in Delhi regarding content consumption across different online streaming Platforms. The outcome of this study suggests the role of influencers affecting various demographics and consumer engagements while consuming digital content
Optimizing ETL Processes for Big Data Applications
No full textOptimizing large-scale data processing has become crucial in the area of data management due to the constantly growing quantity and complexity of data. Big data analysis involves gathering data in a variety of forms from several sources, cleaning it up, customizing it, and then importing it into a data warehouse. Transformation algorithms are needed to extract data in different forms and convert it to the necessary format. Software programs known as Extraction-Transformation-Loading (ETL) solutions are in charge of extracting data from several sources, cleaning it up, personalizing it, and then putting it into a data warehouse. First, we examine current systems for organizing information and evaluate their advantages and disadvantages in this research. We build a more effective, convenient, and user-friendly big data management platform to address the issues of not being too light, not being timely with data transfer, and not being innovative with data analysis. Because of these experiences, I have a unique perspective on the performance bottlenecks, scalability problems, and extended processing times that often afflict typical ETL operations in the financial services industry. The management of Extract, Transform, Load (ETL) procedures for massive data warehouses has become very difficult due to the growing amount and complexity of data in contemporary businesses. Several optimization methods and approaches for ETL procedures in expansive data warehouse settings are examined in this white paper. It talks about the frameworks, tools, and techniques for streamlining ETL processes, such as distributed computing, data splitting, and parallel processing. The study emphasizes the advantages of efficient ETL operations, including shortened processing times, increased scalability, and better operational efficiency, via an examination of implementation specifics and case studies. Organizations may overcome the drawbacks of conventional ETL operations and gain more agility and competitiveness in the present-day data-driven environment by using sophisticated optimization approaches
A Survey on Real-Time Market Dynamics Through Visual Dashboards
No full textThis paper presents a web-based dashboard for real-time data visualization, primarily focusing on financial markets and cryptocurrencies. Data visualization serves as an effective means to convey intricate data clearly and concisely. Utilizing React for the front end, Flask for the backend API, and incorporating data visualization libraries such as Chart.js, our dashboard offers dynamic and interactive data representations. Comprehensive overview of dashboard design, architecture, and functionality, highlighting its importance in monitoring and analyzing financial information in real-time. Furthermore, we delve into the challenges faced during development and potential areas for improvement. This dashboard proves to be an invaluable resource for traders, investors, and financial analysts navigating today\u27s dynamic economic landscape. It provides valuable insights and actionable data to support decision-making
Artificial Intelligence\u27s Effects on the Profession of Architecture and Architects\u27 Prospects
No full textAI is a rapidly developing field that will become a vital component of our future. Recently, most employed technologies are somewhat artificially intelligent, but most of the task still need human input. In comparison to disciplines such as IT, cybersecurity, and health, AI progress in architecture is still in its early stages. The prevailing notion in architecture is that intelligent robots will take the role of designers in the creation of works of art and architectural structures. However, only humans continue to have access to the outputs of open-ended creative processes. AI can do countless activities involved in the design of buildings that require human intelligence, such as making decisions. Therefore, it is essential to comprehend the function, benefits, and drawbacks of this technology inside the design process from a professional standpoint. As a result, a survey will be sent to several professional designers, architects, and researchers. A summary of their results will subsequently be included in this page. The objective is to understand how AI methods can impact the architect\u27s perspective on the design process. Some large architectural firms have started experimenting with deep learning methods to put data gathered over years of profession into practice, with a special interest in environmental sustainability and building performance. Many researchers are working on artificial intelligence applications to architectural design. The next step, in our opinion, is to comprehend the potential functions of this technology inside the architectural design process as well as the extents to which they may support a profession as complicated as architecture. In the article, we will summaries their testimonies, compare and discuss the designer’s responses to understand the potential uses of artificial intelligence techniques in the design process, and report their opinions on how these techniques may affect the approach to the project taken by the architect. We will then conclude with some reflections on the important issues discovered during the interviews with the designers
Wireless Control System for A Smart Robot
No full textThis paper delineates the development of an Android mobile application tailored for manual control of a robot vehicle via wireless Bluetooth technology. The application prioritizes user interaction through both visual and voice-based commands, offering a versatile control interface. Through the graphical interface, users can actively monitor the robot\u27s proximity to obstacles, facilitated by an integrated ultrasonic sensor positioned at the robot\u27s front. The necessity for a mobile robot prototype based on a differential gear system was paramount to the application\u27s evolution. The project\u27s core objective lies in achieving precise control through voice commands, employing an Android application integrated with a microcontroller. The seamless connection between the Android app and the robot vehicle is established through Bluetooth technology, granting users control via on-screen buttons or spoken commands. A preliminary preparatory session is integral to ensuring the smooth operation of the robot, with a dedicated code employed for instructing the controller effectively. This innovative amalgamation of innovative technology and user-friendly control mechanisms holds promising applications across various domains, from industrial automation to assistive technologies, underscoring the project\u27s potential for real-world impact
Personalized UI Layout Generation using Deep Learning: An Adaptive Interface Design Approach for Enhanced User Experience
No full textThis study presents a new approach to personalized UI design using deep learning techniques to improve user experience through interface customization. We propose a hybrid VAE-GAN architecture combining variational autoencoders and generative adversarial networks to create coherent and user-specific UI layouts. The system includes user-friendly electronic models that capture personal preferences and behaviors, enabling real-time personalization of interactions. Our methodology leverages large-scale UI design datasets, and user interaction logs to train and evaluate the model. Experimental results demonstrate significant improvements in layout quality, personalization accuracy, and user satisfaction compared to existing approaches. A customer research study with 200 participants from different cultures proves the effectiveness of the personalization model in real situations. The system achieves a personalization accuracy of 0.89 ± 0.03 and a transfer speed of 1.2s ± 0.1s, the most efficient state-of-the-art UI personalization system. In addition, we discuss the theoretical implications of our approach to UI/UX design principles, potential business applications, and ethical considerations around AI-driven identity. This research contributes to advancing adaptive interface design and opens up new ways to integrate deep learning with UI/UX processes
Review Paper on Multipurpose Agricultural Farming Machine used to enhance the Different Farming Operation for Indian Farmers
No full textIn India, agriculture provides a living for 70% of the population. However, as the population grows, we see that farms are shared among families; hence, Indian farmers usually owned just two acres of land. Farmers continue to use traditional agricultural practices because they are economically disadvantaged and cannot afford to buy tractors or other costly equipment. Generally, many Indian farmers use he-buffalo, horses, and bullocks for agricultural work. This will not be sufficient to meet the energy demands of the agricultural industry in compared to other countries. This machine is capable of doing four farming operations on a small scale: excavation, seeding, cultivating, and spraying. It will perform that operations using the android app
A Study of the Effects of Treasury Funding on Efficiency of the Implementation of the Farmers Input Support Programme (FISP) in Zambia
No full textThe importance of the success of the FISP and E-Voucher system are that it may result in an increase in income in rural areas, an increase in production and hence the food reserves in the food basket and for individual families and will also provide a means to contribute to GDP in the economy in efforts to diversify the economy. However, the study noted that there existed several challenges regarding implementation of the program. The overall objective of this study therefore was to assess the effect of treasury funding on the implementation of FISP in Zambia. The study took into consideration respondents in the Ministry of Agriculture that are directly involved in the FISP program and receiving funding from the treasury. The study made use of primary data. The study finds that the treasury does engage the Ministry of Agriculture and all relevant ministries, units and departments in obtaining estimates in a consultative forum before providing these estimates in the national budge. However, the study outlines that there are delayed payments from the treasury that affect implementation and therefore preparation and production of farming output. Nevertheless, the study findings further note that challenges in implementation however are not limited to delays in funding by the treasury but the extent to which resources are allocated to the program as opposed to other Ministry activities that would further support the implementation of the program. This is because about 80 percent of the resources are dedicated to the success of the program. The study further outlines that a possible solution would be contract farming and private extension services, however, these would have a restricted reach as they are motivated by ensuring profit. This would render the rural poverty alleviation activities strained
Personal AI Companion Voice Assistant
No full textThis paper presents the design and implementation of a personal AI companion voice assistant leveraging the ESP32 microcontroller platform. The system incorporates advanced AI algorithms for natural language processing and voice recognition, enabling intuitive user interaction. Through seamless integration with smart devices, the assistant enhances user experience while prioritizing data privacy and security. The project contributes to the evolution of IoT technologies by offering a personalized and intelligent voice assistant solution
A Study of the Strategic Responses of Commercial Banks to Changes in the External Environment in Zambia
No full textBanking sectors play a crucial part in the growth of an economy. As a result, the banking sector\u27s stability is critical to an economy\u27s growth. Commercial banks are faced with external environmental changes that may render negative as well as positive impacts on commercial banks. Strategic management is one of the key corner stones of any business institution that needs to compete favourably in a particular industry and respond to changes in the external environment. Crafting strategies to suit changes in the external environment is one principal goal of every organisation whose aim is to remain competitive in the market, generate profits and attain growth. This investigated response strategies to external environment (economic changes, technological changes, and social-culture changes) of commercial banks in Zambia. Descriptive research approach was used with 38 questionnaires distributed. Only 20 questionnaires were returned and correctly answered, representing 52.6% response rate, enough to draw conclusions and recommendations. Data analysed quantitatively in SPSS and Microsoft excel with result values presented using percentages, averages, and means. The results revealed that commercial banks did not respond to social-cultures changes in consumer behaviour in Zambia. However commercial banks responded to economic and technological factors, which led to closure of some branches and bank merges. To that end, commercial banks adopted various response strategies to respond to the changes. Strategies adopted included stability and expansion while no commercial bank adopted retrenchment strategy. Commercial banks should not only concentrate on stability strategies, but also use other strategies such as expansion and retrenchment strategies to survive the harsh external turbulence. Management of commercial banks should take advantage of advances in information and communication technology that enhances service delivery and meeting customer needs. Banks need to constantly scan the environment using various tools like SWOT, Research and Development and PESTEL in order to be aware of changes in the external environment and prepare for it