Volume 13 | Issue 6 |

 Abstract

In the digital age, online social media platforms have become prime targets for malicious actors to disseminate spam through deceptive reviews, undermining the trustworthiness of content and user engagement. This paper presents Network-Centric Spam Detection: A Framework for Identifying Malicious Review Patterns in Online Social Media, a comprehensive approach that leverages network analysis to uncover suspicious behaviors and relationships among users and reviews. Unlike traditional content-based or behavior-based detection methods, the proposed framework models review interactions as a graph structure, enabling the identification of hidden spam campaigns through community detection, centrality metrics, and link prediction techniques. Experimental results on real-world datasets demonstrate the effectiveness of the framework in isolating coordinated spam networks with high precision and recall, showcasing its potential to enhance spam mitigation strategies across diverse platforms. This work contributes to the evolving field of trustworthy social computing by emphasizing the importance of relational patterns in spam detection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Spam Detection, Online Social Media, Malicious Reviews, Network Analysis, Graph-based Framework, Community Detection, Review Patterns, Trustworthiness, Social Graph, Anomalous Behavior Detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the impact of Goods and Services Tax (GST) implementation on hotels in Coimbatore, analyzing operational, financial, and customer-related challenges. Primary data was collected through surveys from 50 hoteliers, supplemented by secondary data from GST filings (2017-2023). Findings reveal mixed outcomes: while luxury hotels benefited from input tax credits, budget hotels faced compliance burdens. Customer pricing sensitivity increased post-GST, affecting occupancy rates. The study recommends simplified GST procedures for SMEs and targeted government support. This research contributes to regional GST literature, offering actionable insights for policymakers and the hospitality sector.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GST, Coimbatore Hotels, Post-GST Impact, Hospitality Industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on the formulation and evaluation of a natural rose-based soap using herbal and essential oil components. Rose soap is a luxurious cleansing product enriched with rose petals, rose essential oil, olive oil, rosehip seed oil, glycerin base, and rose kaolin clay. These ingredients were selected for their moisturizing, soothing, antimicrobial, and anti-inflammatory properties, making the formulation suitable for sensitive and acne-prone skin. The soap was prepared using the melt-and-pour method, with steam-distilled rose oil incorporated for fragrance and therapeutic benefits. The final product exhibited a pleasant aroma, a light pink color, and a pH of 7, indicating its suitability for various skin types. The study highlights the potential of herbal soaps as a gentle alternative to commercial products, offering skin hydration, anti-aging benefits, and minimal irritation. However, factors like allergenicity and cost due to natural extracts are also considered.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Essential oil in skin care, Anti inflammatory soap, Moisturizing soap, Skin friendly so soap, Natural skin careo pH balanced soapo Rose petal soapo Steam distillation Rose oil, Soap for sensitive skin, Natural soap formulation, Herbal soap, Rose soap, Rose oil, Glycerine soap base, Rose keolin clay, Olive oil in soap, Rosehip seed oil, Soap formulation, Soap evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The snack food industry is experiencing a substantial change in direction towards healthier and more convenient options. These changes are a result of several consumer lifestyles combined with a growth in dietary awareness.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Preference, Healthy Snacks, Smackoz Products.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is becoming a superpower in the fast-paced world of today thanks to its advancements in technology and other areas. However, there hasn't been a significant decline in the crime rate against women and children. For this reason, in order to lower the number of crimes against women and children, greater awareness and technological assistance are required. Our proposal is for a "Safety Device using IOT" that tracks the victim's whereabouts continually using a GPS tracking system, calls phone numbers registered with the system, and sends out continuous SMS messages with the victim's location. We are attempting to address the current need for widely available, affordably accessible technology with this system that we are developing. The abstract presents a women's security device that enhances women's security through GPS tracking and alerts. The Arduino microcontroller platform serves as the system's main building block and allows for the integration of several sensors and communication tools. Because the device is designed to be easily carried and portable, women may always have it with them. GPS tracking technology allows for real-time position monitoring, which can expedite emergency response times. The alerts system uses a combination of vibration and sound to warn the user and anybody nearby in the event of danger.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women's Safety Device with GPS tracking and alerts, GPS tracking, emergency alerts, IOT based security, Arduino microcontroller, GSM module, buzzer, relay, real time location monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The exportation of raw materials by metal dowel fabrication companies is a vital facial expression of world-wide trade and industrial supply mountain chain. Metal dowel are critical part in construction, automotive, and machinery industry, contributing significantly to the strength, stableness, and precision of structural assemblies.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

metal dowel , trade tariffs , regulatory restraint

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Context: - Neck pain is a common problem among population. It can occur at any phase of their lives. Cervicalgia is another name of neck pain. Tightness of cervical muscles and upper back, muscles or compression of the nerves can cause neck pain that radiate from vertebrae in cervical region. Aims: - To evaluate the effectiveness of MANUAL THERAPY and PNF Stretching Exercises in reducing pain and improving functional disability in students suffering from mechanical neck pain. Study design: - Experimental study (Pre-test, post-test matched pair design) Setting: - Outpatient Physiotherapy clinic. Material and Methodology: - The study had pre - test, post-test experimental group design. There are two group each having 15 subjects. Group A included 15 patients who were treated hot packs, PNF stretching and neck isometrics. Group B included 15 patients who were treated with hot packs, Manual therapy and Neck isometrics. Statistical analysis: The data analyzed using SPSS 21.0. Software package and statistical test used is paired t-Test to compare the effectiveness of associated functional disability. A significant value of P <0.05 was set. Results: Based on the mean scores and their differences, both PNF stretching exercises (Group-A) and Manual therapy (Group-B) are statistically significant in reducing mechanical neck pain and improving functional disability among undergraduate students (greater than P<0.05% level) Conclusion: It has been concluded that PNF Stretching exercises is better than manual therapy in reducing and improving neck pain and functional disability of the students.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pain, PNF, Manual Therapy, Neck Disability Index, NPRS.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Emergency dispatch systems are important to provide timely and effective response to serious situations. Conventional call evaluation techniques are based on human assessment, which is subjective and unreliable. Voice stress analysis (VSA) has been found to be a potential technique for analyzing the stress level of callers and enhancing decision-making in emergency dispatch centers. This study delves into the incorporation of AI-based voice stress analysis in emergency call systems using machine learning and speech processing algorithms to identify stress patterns in real time. Through examination of fluctuations in pitch, tone, and speech rhythm, the system is able to evaluate the level of urgency and emotional state of the caller and assist dispatchers in prioritizing responses more effectively. Experimental testing with real and simulated emergency call datasets proves VSA's success in enhancing response times, decreasing misclassification of emergency severity, and increasing situational awareness. The results prove the potential for AI-driven voice stress analysis in maximizing emergency response strategies while responding to accuracy, privacy, and ethical concerns challenges.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Voice Stress Analysis, Emergency Dispatch, AI-Driven Speech Processing, Machine Learning, Stress Detection, Real-Time Decision-Making, Emergency Call Classification, Speech Emotion Recognition, Deep Learning, Public Safety

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bio medical waste (BMW) causes many harmful effects to human being and environment if not disposed properly for this Government of India introduced the BMW rules in 1998 which was amended in 2011. It was introduced for safe handling of BMW and to protect public health and Environment. This paper will throw light on growth of BMW in India during 2013- 2023.The study is based on secondary sources of data which is already available on internet, government websites, and previous published journals. The study reveals that the highest production of BMW is between 2020 to 2021 during Covid-19 pandemic. As hospitals were full of patients so it is natural that the BMW will be generated more during the year 2020 to 2021. The number of healthcare facilities (HCF) increased more than two times in the period of 2013-2023 due to increase in labs and clinics in our country.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biomedical Waste, Waste Management, COVID-19 Pandemic, Healthcare Facilities, Environmental Impact, Public Health.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rise of autonomous and semi-autonomous machinery in industrial settings necessitates advanced safety mechanisms to ensure smooth operation while preventing collisions and protecting nearby workers [1]. This project proposes an AI-based Extreme-Edge Collision-Avoidance System utilizing a Temporal Convolutional Network (TCN) deployed on a Raspberry Pi microcontroller. The system integrates multiple sensing technologies, including LIDAR, Camera Modules, Ultrasonic Sensors, and Infrared Sensors, to comprehensively monitor the machine's surroundings [2]. At the system's core, the STM32 microcontroller processes real-time data from the sensors via a driver circuit, ensuring ultra-low-latency response. AI-based monitoring runs on a Raspberry Pi, analyzing time-series sensor data using the TCN model to detect potential hazards in real-time [3]. The AI algorithm predicts collision risks and enhances situational awareness, ensuring timely interventions critical for industrial safety [4]. Upon detecting an obstacle, the Raspberry Pi triggers immediate corrective actions, controlling machinery operations while engaging an alarm and alert system to notify nearby workers. The integration of Raspberry Pi extends computational flexibility, supporting data logging, visualization, and remote monitoring, while enabling machine learning model updates [4]. The system ensures robust performance in noisy and dynamic industrial environments by leveraging sensor fusion and AI. Extreme-edge processing minimizes latency, optimizes energy consumption, and maintains a compact memory footprint. Designed for seamless integration into industrial applications, this real-time collision avoidance system significantly enhances workplace safety, reduces accidents, and improves operational efficiency [5].

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Collision avoidance, Industrial safety, Edge computing, Ultrasound sensors, Temporal Convolutional Network (TCN), Machine learning, Low-power MCU, Raspberry Pi, Real-time processing, Sensor fusion, Acoustic noise robustness, Embedded systems, Proximity sensing, Smart manufacturing, Industrial automation.

  License

Creative Commons Attribution 4.0 and The Open Definition