Metallurgical and Materials Engineering (E-Journal)
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Door Lock System Using Face Recognition
Get PDFThere are now security issues in all zones. To circumvent these constraints, existing technology must be used. Face recognition technologies will be used in this investigation. This application collectsand compares database photos to human photographs. Unauthorised entr and exit detection is an essential part of any home security system. Face recognition and other biometric identification technology can replace pins and passwords. Our goal is to create a smart door that uses our identification to safeguard the entrance.Our goal is to develop a Raspberry Pi 3-based system that only lets you into the house if your face isrecognised by Harcascade algorithms. The homeowner can then remotely watch the entryway. When someone approaches the door, the system recognises their face and opens it if they are registered. If they are not registered, an alarm is sent, and a photo is taken and sent to the registered number. Here's how the system works
Adaptive Honeypot Strategies: Redefining Security In Cloud Environments
Get PDFThe growth in popularity of cloud computing has also invited new forms of security issues that require new forms of defense mechanisms. The Honey Cloud framework is out to address such issues with honeypot technology in the cloud accompanied by decoy systems that attract, monitor, and analyze malicious activities. Honey Cloud provides fortification by defending the main critical infrastructure from an attacker and decreasing the probability of a data breach. It also boasts real-time detection of threats and intelligence regarding this particular adversary's tactics, techniques, and procedures. The framework can be scaled and can be dynamically deployed across different cloud architecture including hybrid and multi-cloud setups. The future enhancements will incorporate AI and machine learning to do predictive threat analysis and automated responses making it more resilient to high-end threats. This offers real-time analytics and interactive dashboards, which provide insight applicable to organizations, thus easing security operations. Besides, legal and ethical considerations will be addressed to provide responsible usage and adherence with global data protection regulations. Hence, Honey Cloud marks a departure in the paradigm of cloud security from traditional defensive mechanisms to proactive intelligence and adaptive frameworks. Such paradigm shift thus promises to motivate future research and development in the ever-evolving threats in the field of cybersecurity
Women’s Right Of Maintenance: Role Of Judiciary
Get PDFThe right to maintenance is a crucial safeguard for women, ensuring economic support and dignity, especially in cases of separation, divorce, or neglect. Under the new criminal law framework—Bharatiya Nagarik Suraksha Sanhita (BNSS), 2023, which replaces the Code of Criminal Procedure, 1973—this right is preserved and continues to provide a secular, accessible remedy for women irrespective of religion or personal law. Section 144 of the BNSS, corresponding to the old Section 125 CrPC, retains the provision for maintenance to wives (including divorced wives), children, and parents. This reflects the continuity of the state's commitment to social justice and gender equality. The judiciary continues to play a pivotal role in interpreting and enforcing maintenance rights, ensuring that procedural changes under the new law do not dilute substantive entitlements. Courts have consistently upheld that maintenance is not a matter of charity but a fundamental right linked to Article 21 of the Constitution—right to life with dignity
Experimental Insights Into The Application Of Discarded Shrimp Mesh To Vitalize Swell And Shrink Characteristics Of Expansive Soils
Get PDFThe capacity of expansive soils to expand and contract is widely recognized, and as a result, these volumetric changes seriously damage civil infrastructures. Due to subgrades composed of expansive soils, similar pavement serviceability problems arise in various parts of Pakistan as well as throughout the world. The utilization of used fishing nets to improve the engineering qualities of a neighboring expansive soil is described in this study. This study looked at the moisture-density (OMC and MDD) connection, (UCS), and (CBR) of the soil treated with 0%, 0.4%, and 0.8% WFN. According to the test results, the soil sample's MDD decreased by 8.5%. The average density of the reinforced soil sample may have increased the percentage of WFN in the soil sample, which could explain the decrease in MDD. Denser soil particles (Gs = 2.69) are replaced with WFN with low specific gravity in a unit volume, lowering the soil sample's total unit weight. The OMC of the soil sample with the reinforced soil sample was found to be significantly higher, indicating a significant rise in OMC. This might be due to the expanding nature of the soil, which observed more water, or the nature of WFN, which was unable to observe water into it. UCS has shown a notable improvement. Without WFN reinforcement, the soil's unconfined compressive strength is determined to be 76.2 kPa. When 0.4% WFN was added to soil samples, the unconfined strength of the soil increased to 85.3 kPa, indicating a 10.6% increase, and when 0.8% WFN was added, the unconfined compressive strength of the soil increased to 102.1 kPa, indicating a 30% increase. When 0.4% WFN is added to the soil, the CBR value increases by 8%, and when 0.8% WFN is added, the CBR value increases by 16%, which is twice as much as 0.4% reinforced soil against a penetration of 0.1 inch. This results in a higher-quality subgrade for pavement building on such soils. The experimental calculations show that WFN has great potential as an inexpensive, long-term stabilizing component for often inflated soils
Performance Of Some New Quantile-Based Two Parameter Ridge Estimators For Linear Regression Model: Simulation And Application
Get PDFIn regression analysis, the efficiency of the ordinary least square (OLS) estimator decreases when the predictors become highly correlated leading to the problem of multicollinearity. In this study, new quantile- based two-parameter ridge (TPR) estimators are introduced to deal with the issue of multicollinearity in the linear regression model. The study presents a novel class of modified two-parameter ridge estimators developed using eigenvalues of the correlation matrix of predictors. The performance of the proposed TPR estimators is examined using extensive simulations using the mean squared error (MSE) criteria. The findings revealed that the TPR estimators have better performance than the one-parameter ridge estimators. In addition, the suggested estimator has superior performance than the OLS and is considered a one-parameter and two-parameter ridge estimator. Next, the application of the new TPR estimators is shown in the Economic Survey data. The findings indicate that the suggested NQW2 estimator outperformed all the competing estimators
The Effect of ZnO Addition on Microstructure, Phase and Color Developments of Copper Reduction Glaze
Get PDFIn this research, the effects of Zn on microstructure and color developments of the copper reduction glaze were investigated. Structural and colorimetric characteristics of the glaze surface are examined by X-ray diffraction, scanning electron microscope (SEM) equipped with electron dispersive spectroscopy (EDS) and Telespectrophotometery. Results indicate in samples consisted of more than 7 % of zinc amount, crystalline structures containing Willemite and synthesized copper. XRD indicate that, 14 wt% of zinc oxide is enough to form Willemite. In all samples, duration of process was sufficient to form the metallic particles. SEM images confirm presence of copper nanosphere-laths of Willemite and surrounding glaze
Medical Personnel's Views and Attitudes on the Community Health System
Get PDFBackground: Healthcare professionals play a vital role in delivering high-quality care, and their perspectives are essential in shaping effective healthcare systems. Despite the challenges faced by healthcare providers globally, including stress, long working hours, inadequate infrastructure, and resource limitations, the views and attitudes of medical personnel towards their work environments and the healthcare system remain insufficiently explored. This study aims to explore the views and perceptions of Medical personnel regarding their work environments and the overall performance of the National Health System.
Methods: This study design was employed, utilizing an online survey distributed to 2000 Medical personnel across public and private hospitals, as well as medical centers. The survey, available in Spanish and English, consisted of 47 items and focused on demographics, prescribing practices, and experiences with the healthcare system. Data collection occurred over a three-month period in late 2017. Statistical analysis was performed using IBM SPSS, with descriptive statistics and Chi-Square tests for associations and independent t-tests for mean differences.
Results: A total of 360 Medical personnel participated, yielding an 18% response rate. The majority of respondents were male (59.4%), with a mean age of 41.7 years. Most participants (70.1%) had graduated in the past 17 years, with 47.2% working as medical specialists. Respondents were primarily from highland (60%) and coastal (35%) regions. Income distribution showed that 41.7% earned medium incomes, 36.1% had high incomes, and 22.2% had low incomes. Satisfaction with healthcare organizations was mostly positive, with 44.4% reporting satisfaction and 27.8% expressing high satisfaction. The availability of resources was reported to be variable, with 41.7% stating that resources were often available.
Conclusion: The study revealed important insights into the challenges faced by healthcare professionals, including disparities in income, high workloads, and variable resource availability. Overall satisfaction with healthcare organizations was positive, but room for improvement remains, particularly in terms of resource allocation. Addressing these concerns may enhance the working conditions of healthcare professionals and, in turn, improve the efficiency and effectiveness of the healthcare system
Studies on Electro Chemical Activity and Third Order Non Linear Optical Properties of Novel (E) -4-Chloro -2-((Phenylimino)Methyl)Phenol, (4C2PMP) Covalent Molecular Coloured Single Crystal : A Potential Organic Crystalline Material for Optical and Elect
Get PDFIn this research, we developed and characterized a novel Schiff base compound, 4-Chloro -2-((Phenylimino)methyl)phenol, (4C2PMP) , focusing on its nonlinear optical and electrochemical properties. Crystals were synthesized using the slow evaporation technique. We employed both powder X-ray diffraction and single-crystal X-ray diffraction to verify the crystal structures. Our optical characterization revealed a lower cut-off wavelength of 563 nm in UV-Visible spectroscopy. The compound exhibited second harmonic generation with emission at 532 nm, while photoluminescence measurements showed a violet shift with a peak at 384 nm and a band gap of 3.21 eV. Laser damage threshold measurements yielded an energy value of 75 mJ, with the crystal demonstrating a power density of 3.98 GW/cm², exceeding the performance of standard reference materials. Infrared spectroscopy confirmed the successful formation of the schiff base ligand, particularly highlighting the -NH₂ nitrogen and -OH oxygen atom bonds. Through Z-scan analysis, we determined the third order non linear optical parameters: nonlinear refractive index (n₂) of 3.84x10⁻⁸ cm²/W, absorption coefficient (β) of 2.11x10⁻⁴ cm/W, and third-order susceptibility (χ³) of 4.07x10⁻⁶ esu. Electrochemical characterization through impedance spectroscopy revealed reaction kinetics, while cyclic voltametry provided insights into electron transfer mechanisms and redox properties critical for biological signal transduction
Analysis of Slope Stability using Innovative Hybrid BPSO-SVM Machine Learning Techniques for Enhance Environmental Sustainability
Get PDFThis study aims to improve the forecasting performance of slope stability for impacting environmental sustainability and infrastructure safety predictions by using the Binary Particle Swarm Optimization (BPSO) coupled with Support Vector Machine (BPSO-SVM) models. The BPSO technique is utilized to select relevant features from the dataset, thereby improving the overall effectiveness of the predictive models. The research includes 108 slope stability examples, with the dataset split between 70% training and 30% validation. The dataset comprises seven input parameters: cohesiveness, slope angle, unit weight, angle of internal friction, slope height, pore water pressure coefficient, and factor of safety. The objective is to classify the slope status, turning the problem into a classification task. To obtain optimal hyper-parameters for the SVM model, Grid Search was exploited. The accuracy of the slope stability predictions given by several models was assessed using receiver operating characteristic (ROC) curves. The results indicate that the BPSO-SVM model outperforms the standalone SVM and BPSO models, serving as a robust computational tool capable of accurately predicting slope stability to enhance the environmental sustainability
