International Journal of Engineering and Management Research
Not a member yet
1311 research outputs found
Sort by
Effect of Organic Product Label on the Consumer Perception
No full textIn the organic market which is saturated in nature, the organic food consumption is seen to be growing to a considerable level. With such a prevalence, the market share for organic products has been seen to be increasing. The main element for the successful growth of the organic sector is the optimistic image which most of the consumers attribute to the organic products. Such an optimistic image is created through the labels possessed in the organic products. In this regard, the current study explores the influence of organic product label over the consumer perception regarding the organic products. The respondents of the study are the consumers of organic products in Chennai. They have been selected through simple random sampling as the respondents of the study. The size of the sample is 100 and the instrument for data collection is questionnaire. Regression has been adopted for data collection. Findings of the study reveal that product label strongly influence on consumer perception towards organic products
The Effect of Strategic Management Practice on Organizational Performance: The Case of Ethio Telecom
No full textThe aim of this research paper was to examine the effect of strategic management practices on organization performance in the case of Ethio telecom (the leading telecom company in Ethiopia). To conduct this study, the study used an explanatory research design to examine the effect of strategic management practice (strategy formulation, strategy implementation and strategy evaluation) on organization performance. The target population comprised 517 Ethio telecom employees and 226 samples drawn. The study used questionnaires for data collection. Accordingly, 226 questionnaires were distributed through a google form link and 206 questionnaires were properly filled. Both descriptive and inferential analysis techniques have been used to analyze the data using SPSS version 23 tool. The results of the study showed that from the dimensions of strategic management practices, strategic evaluation is the most important predictor of organization performance and followed by strategic formulation; while strategic implementation is moderately related in terms of magnitude of the effect
Enhanced Local Contractor Participation: Case of Zambia Water Supply and Sanitation Sub-Sector
No full textThe construction sector plays a crucial role in Zambia\u27s economic development, especially through public projects focused on areas like health, education, transport, and water and sanitation. These projects, often funded by donors, aim to improve water supply and sanitation, with key partners including Denmark, Germany, the Netherlands, Japan, Ireland, the World Bank, and the African Development Bank. While private construction projects also drive the economy, local contractor involvement in public projects is vital for Zambia\u27s development. However, the dominance of foreign contractors in public projects is a common challenge in many developing countries, including Zambia. This research investigates the obstacles preventing local contractors from becoming main players in Zambia\u27s construction sector, particularly in water and sanitation projects. It employs a Straussian Grounded Theory approach, proposing strategies to enhance local contractor participation. The study suggests that promoting local contractors\u27 growth and competitiveness requires various measures, such as government confidence in their capabilities, tax incentives, procurement reforms, financial support, partnerships, segmented contracts, and fostering self-sufficiency. The research defines theoretical propositions and strategies aimed at increasing local contractor involvement in infrastructure development
A Review of Smoke Quitting Ring using AI
No full textSmoking cessation continues to pose a significant public health challenge on a global scale, highlighting the need for innovative solutions to effectively support individuals in their journey to quit smoking. Traditional cessation programs often fall short in providing personalized support, resulting in high rates of relapse. To bridge this gap, we introduce the AI-Enabled Smart Quitting Ring, a wearable device that combines biometric authentication, smoke detection sensors, and personalized AI-driven interventions.
This cutting-edge device offers real-time support and monitoring, utilizing machine learning algorithms to adapt interventions based on user behavior. The Smart Quitting Ring is designed to revolutionize smoking cessation efforts by delivering tailored support and boosting user motivation, ultimately leading to improved long-term quit rates and enhanced public health outcomes
A Bibliometric Analysis of Sustainable Solid Waste Management Technologies using Scopus Database
No full textA bibliometric analysis of sustainable solid waste management (SSWM) technologies was conducted to establish the hotpots and research shifts based on literature from Science Citation Index (SCI) database from 2010 to 2023 that was retrieved from Scopus database. The research trends and statistics are presented first and then a comprehensive bibilometric analysis using VOSviewer software is performed. The research establishes that, publication output increased between 2020 and 2022 and the Journal of Cleaner Production had the highest number of publications. Between 2017 and 2019 the focus of research on SSWM technologies was towards waste management and sustainable development. The technologies considered during this period were recycling, waste incineration, gasification, anaerobic digestion, and waste to energy, bioenergy and composting. Between 2020 and 2023 the focus was on environmental sustainability and circular economy. The SSWM technologies between 2020 and 2023 focused on resource recovery and pyrolysis
A Deep Reinforcement Learning Approach to Enhancing Liquidity in the U.S. Municipal Bond Market: An Intelligent Agent-based Trading System
No full textThis paper presents a new approach to improve revenue in the US bond market using deep learning (DRL) as an artificial intelligence-based market. This study addresses the persistent lack of capacity in this critical business by combining advanced machine learning techniques with the specialised knowledge of financial institutions in the city. A comprehensive multi-agent simulation environment is developed, incorporating key market microstructure features and risk management constraints. The DRL agent is trained using historical trading data from 2018 to 2022, sourced from the Municipal Securities Rulemaking Board\u27s EMMA system. Experimental results demonstrate the agent\u27s superior performance compared to benchmark strategies across various market conditions. The DRL agent consistently improves key liquidity metrics, including bid-ask spreads and market depth, while maintaining robust risk-adjusted returns. The study finds that the proposed approach enhances market efficiency and exhibits adaptability during periods of market stress. Potential impacts on municipal finances were discussed, including reducing the cost of borrowing for local governments and improving cost discovery. Although limitations such as activation capabilities and real-world challenges are recognised, research has yielded positive results for using AI in the financial industry. It is an excellent way to develop the urban economy in the future
The Impact of Internet use Frequency on the Gender Role Concept of Chinese Residents: An Empirical Study based on CGSS2021
Get PDFIn the traditional society, the gender role concept of "men are the main outside, women are the main inside" restricts the individual development of women. There is no research to answer the question of the role of the Internet in the gradual change of gender role concepts. Based on this, this paper uses the data of the 2021 China General Social Survey (CGSS) to explore the impact of the use of the Internet on the gender role concept of Chinese residents. The results show that the higher the frequency of Internet use, the more equal the gender role concept of Chinese residents
Industrial Heating Furnace Temperature Control System
Get PDFPT 100 temperature sensors are the most common type of platinum resistance thermometer. Often resistance thermometers are generally called Pt100 sensors, even though in reality they may not be the RTD Pt100 type. The temperature of any equipment for every industrial application is controlled by the microcontroller-based temperature control system. At its heart lies the Arm 9 microprocessor, which performs the circuit’s entire operations Industrial Heating furnace (IHF) .Temperature, is sensed using the PT 100 temperature sensor, which acts linearly with temperature increase. This temperature is compared to the user-saved value, and if it exceeds the preset temperature, the heater turns off; if it falls below the preset value, the heater turns on. An LCD panel displays both the asking and real-time temperatures with human machine interface (HMI). The microcontroller automatically switches on/off a heater or a fan based on the conclusion of the comparison. This proposed paper is separated into two modules, one for temperature monitoring and the other for data collection and also link to personal computer
Towards Real-Time Facial Emotion-Based Stress Detection Using CNN and Haar Cascade in AI Systems
No full textUnderstanding human conduct requires the ability to recognise facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and HaarCascade classifiers. The suggested method uses a CNN to recognise facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection and extraction of facial regions. Those parts are then fed into the CNN model, which classifies emotions. The system has been trained and tested on publicly available datasets, with encouraging results in stress detection accuracy. This method, which detects stress through facial expressions, has potential uses in stress management, mental health evaluation, and personalised therapies.
Face expressions have an important part in transmitting emotions, especially stress, which is a common problem in today\u27s fast-paced world. This research provides a novel approach for detecting stress by analysing facial expressions with Convolutional Neural Networks(CNNs)and Haar Cascade classifiers. The proposed system enhances the precision and effectiveness of stress detection by combining the benefits of both approaches.
The methodology begins by preprocessing the input photos to improve their quality and normalise them for subsequent analysis. Haar Cascade classifiers are then used to detect faces in the images, ensuring precise identification of facial regions even under different lighting conditions and orientations. The discovered faces are removed and resized to produce homogeneous inputs for further processing
Financial Technology Services in India
No full textDigital banking has revolutionized the way Indians access financial services. With the advent of technology, banks and financial institutions have introduced various digital banking services to cater to the growing demand for convenient and accessible banking. Here are some of the types of digital banking services available in India. This paper is based on the secondary data collected from the various websites, research papers and reports. The main aim of this paper is to describe the impact of digitalization on inclusive growth in India. This paper describes Internet Banking, Mobile Banking, Digital Wallets, Unified Payments Interface (UPI), Mobile Payment Apps, Online Fund Transfer, Bill Payment Services, Digital Loan Services, Investment Services, Digital Insurance Services, Cardless Cash Withdrawal, Aadhaar-enabled Payment System (AePS)