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1776 articles for “identity”
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Identifying and Mitigating Chemical Hazards Through Hazard Identification and Risk Assessment Using Failure Mode and Effects Analysis (FMEA)
Abstract: Chemical exposure represents a significant occupational health and safety concern in the chemical industry. Effectively addressing these hazards requires teamwork among various occupational health and safety experts, such as general OHS professionals, occupational hygienists, and occupational health practitioners. This research focuses on analyzing hazards and developing control measures for industrial chemicals, evaluating their toxicity, and using these assessments in regulatory decision making. It starts by addressing the availability of toxicological …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 52–62 Read article
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Exploring the Architectural Identity and Culture of the Ikwerre Ethnic Group in Rivers State, Nigeria
Abstract: This paper investigates the architectural identity and culture of the Ikwerre ethnic group in Rivers State, through an analysis of traditional practices, spatial organization, and structural forms. This paper provides insights into the relationship between Ikwerre Architecture and Ikwerre culture. The study highlights the unique attributes of Ikwerre identity as expressed in their built environment and cultural practices, to establish the key features of Ikwerre Architectural identity and culture. A …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 2, 2024 · pp. 46–59 Read article
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Parameter Identification of Vibrating MIMO Mass-Spring-Damper Mechanical Systems with Coulomb Friction
Abstract: This study presents a time-domain method for identifying parameters in multi-degree-of-freedom (DOF) linear mass-spring-damper systems that include Coulomb friction, where the friction coefficient varies within a limited range, using measurements of position and control force. For mass identification in single-degree-of-freedom (DOF) vibrating mechanical systems with stiffness and no damping but Coulomb friction, the friction term is eliminated by first derivative processing. In addition, the identification of the coefficient of friction …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 20–34 Read article
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Decoding Trauma, Identity, and Resilience to Caste-based Oppression in Premanand Gajvee’s Kirwant
Abstract: Dalit literature, deeply rooted in political reform and personal confession, often explores societal and individual challenges stemming from the Ambedkarite movement's rebellion and efforts. Premanand Gajvee, a celebrated Marathi playwright and poet, a seminal figure in Dalit literature, is celebrated for his contributions to the Dalit Theatre of Protest. His play Kirwant, inspired by the real-life issues of lower-caste Marathi Hindu Brahmins, critiques societal flaws. This study focuses on the …
Published in Emerging Trends in Languages · Vol. 1, Issue 2, 2024 · pp. 14–20 Read article
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Zero Trust Security Governance by Utilizing Identity and Access Management
Abstract: The Zero Trust Paradigm, a more stringent approach to network security, operates on the fundamental concept of “Never Assume, Always Authenticate.” It is currently being implemented in different countries to align with their national cybersecurity and access management governance policies. The differentiation of these Zero Trust systems is contingent upon factors such as awareness, infrastructure, expenses, and security demand. Additionally, the identity-based access management models within the Zero Trust system …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 6–17 Read article
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Identifying ABO Blood Group and Rh Status Using Dried Saliva Samples
Abstract: This article discusses the accuracy of dried saliva samples in establishing ABO and Rh blood types. Participants, likely screened for secretor status beforehand, submitted blood and saliva samples. Both samples were ABO blood typed (A, B, AB, or O) using standard methods such as gel card technology or hemagglutination assays. We used both saliva and blood to perform Rh typing. The findings revealed that saliva and blood typing for ABO …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 11–19 Read article
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Shortest Route Identification Model for Urban Solid Waste Disposal Management Using GIS: A Case of Gulu City, Northern Uganda
Abstract: GIS has been employed for integration of both spatial and non-spatial data. It can be applied to any service that is dependent on network like water and power supplies, sewage and transportation. This study was done in Gulu municipality to address the problem of poor solid waste disposal management. It proposes a shortest route identification model to minimize travel distance and reduce collection time by the trucks. The constraints that …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 1–19 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Application of Radio Frequency Identification Technology use in Bhavnagar District Library user’s information- seeking behavior
Abstract: Purpose: Bhavnagar District Library to provide faster information services to the users through new technology by using radio frequency identification technology in the information seeking behavior of the user. When it comes to providing information services to users through old traditional methods, it takes time to get information. Today, RFID (Radio frequency identification device) has become very necessary regarding the behavior of getting information through new technology. The users of …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Identification of Counterfeit Product Using Blockchain
Abstract: In today's growing market, the supply of products is on high demands. Thus, productions are increasing with various sources. Counterfeiting is a more common these days, which plays a huge role when it comes to company losses and bad reputation in the consumer market. Counterfeiting can also affect the economy. It can badly affect product sales and their profits as well. Where the real product manufacturers are in major disadvantage …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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AI-Driven Handwriting Identification and Verification Using Textural Features
Abstract: The last few decades have seen handwriting recognition and verification earn their mark in areas like forensics, healthcare, education, and digital security. This study delves into the role of artificial intelligence (AI), machine learning (ML), and deep learning techniques in handwriting analysis. It highlights the extraction of textural features as a precursor to identifying narrows between original handwriting and its forgery, whereby a few distinctive patterns such as stroke width, …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Design for Revitalizing Historical Identity: Case Study Zakho Old Bazaar, Kurdistan Region, Iraq
Abstract: A town in northern Kurdistan, near the border of Iraq, Turkey, and Syria converge, Zakho was rural center and regional marketplace. The city exhibits remarkable sites dating to various eras, including Dalal bridge and Al-Qeshla, an ancient site with significant truistic attraction. Zakho has been a center of religious diversity, dynasty to Muslims, Christians, and Jews, which has significantly influenced the city’s rich urban environs and architectural heritage. The old …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 2, 2025 · pp. 39–59 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Accident Identification And Alerting System Using MSP430
Abstract: The "Accident Identification and Alerting System using MSP430" is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle's movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Monitoring of Unauthorized Identity and Access Behaviour for Outsourced Data in Cloud Environment
Abstract: The outsourcing of data is a significant challenge in the modern cloud computing ecosystem when it comes to tracking unauthorized identification and access behaviour. In order to overcome this issue, this research suggests a thorough method for reliable anomaly detection in cloud systems. Improving data security and offering a trustworthy monitoring system are the two main goals. The suggested approach proceeds methodically, gathering information from several sources such as user …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 9–19 Read article