Volume 11 | Issue 3 |

 Abstract

Real-Time Object Detection is a challenging aspect, improving day to day in its accuracy. Deep Learning gained a tremendous influence on the world is adapting to Artificial Intelligence.It acts as a basic and most aiding tool for blind people or visually challenged people. Nowadays blind people can recognize surroundings through sensors and Actuators according to the situation around them. Some of the popular algorithms for Object detection are Region-based Convolutional Networks (RCNN), Single Shot Detector(SSD), Faster-RCNN, You Look Only Once (YOLO). The main Objective is to provide improved accuracy in identifying and transferring the object detected in real-time through audio as a medium of communication . The parameters like minimum Average precision (mAP), Frames Per Second (FPS) are considered for better accuracy. The YOLO ( You Look Only Once) algorithm is applied for Computation. A Real Time System is developed to help visually impaired people.

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 Keywords

NumPy, OpenCV, Time, Video Capture, YOLO.

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 Keywords

Racecadotril, Ofloxacin, Antidiarrheal drug, Eudragit, Indion resinate complex

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Simple, rapid, economical, precise and accurate Stability indicating RP- HPLC method for the estimation of Celecoxib and Tramadol HCL in synthetic mixture has been developed. A reverse phase high performance liquid chromatographic method was developed for the estimation of Celecoxib and Tramadol HCL in synthetic mixture has been developed. The separation was achieved Column Agilent eclipse XDB-C18 (150 x 4.6 x 5), Gradient program 0.1%TFA: Methanol, as mobile phase, at a flow rate of 1 ml/min. Detection was carried out at 225 nm retention time of Celecoxib and Tramadol was found to be 4.138 and 8.870 min. The method has been validated for linearity, accuracy and precision. Linearity observed for Celecoxib and Tramadol HCL in synthetic mixture 27.72-65.67 ?g/ml. Developed method was found to be accurate, precise and rapid for estimation of Celecoxib and Tramadol HCL in synthetic mixture. The drug was subjected to stress condition of hydrolysis, oxidation, photolysis and Thermal degradation, under same chromatographic condition. The stress samples were assayed on RP-HPLC system

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 Keywords

Celecoxib, Tramadol Stability indicating RP- HPLC Method, Validation

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 Abstract

Natural disasters occur annually as well as unpredictably, causing the nation to suffer insecurity, interruption, and economic loss. It is estimated that floods cause more economic damage and loss of life and property than any other natural hazard. The main objective of this project is to provide an early warning to flood victims at a place that is highly susceptible to flooding. Through the use of the Internet of Things technology, the victim could get accurate data on the flood in real time. It develops a real-time flood monitoring and early warning system for flood-prone areas using wireless sensor nodes. The system is based on NodeMCU technology integrated with Blynk. During a flood or heavy rain, the wireless sensor node can provide an early warning by detecting water levels and rain intensity. Sensor nodes are placed at flood areas and are equipped with ultrasonic sensors and rain sensors controlled by NodeMCUs as microcontrollers. Buzzers and LEDs are activated and alert the victim when the flood has reached a certain level of hazard. The Blynk application receives sensor data via wireless connection from the sensors. The victim will get to know the status of flood and rain by viewing the interface and receiving a push notification. This is available in the Blynk application via IOS or Android smartphones.

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 Keywords

NodeMCU, IOT, Flood, Warning system, Blynk application, Led's, Buzzer.

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 Abstract

This research shows the comparative exploration on ancient construction technique in Ramtek and its durable characteristics which stronger existence. On the other hand, the modern technique which is used in the Swami Narayan mandir and its structural characteristics. This research paper discusses the environmental impact of construction and the preservation of vernacular techniques of construction as the heritage. So, it presents a proposed construction technique using a durable structure system with enhanced local materials to be able to survive a long period of time and conserve the unique character of structure. In addition, the proposed structural/architectural design of affordable structure is compared with the traditional and modern temple techniques through their strength, thermal insulation and cost. The comparison outcome shows the material properties, physical and chemical features, stability of structure and conservation maintenance.

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Ancient construction techniques; Ramtek Gadmandir, Modern techniques; Swami Narayan Mandir, Ram mandir Structural., etc.

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In today's world, data is deciding our social interactions, choices as well as playing an intrusive role in shaping the democratic polities. It has this incisive capability to alter the dynamics vis-a-vis states and citizens. For some time now, it has been referred to as the new oil as it is already handing significant benefits for organizations, employing analytics and artificial intelligence in their operations. The criticality of data has gained significant weight in economic, strategic as well as political terms. The US' 2016 presidential polls and the Brexit phenomena to a great extent were influenced adversely the by Cambridge Analytica saga. During President Donald Trump's tenure, he was quite vocal about the sensitive US data being illegally stolen by Chinese 5G networks on a grand scale. As regards the regulations mooted upon by the Indian side on data flows, the US side insists that the extant market constraints in the face of lingual differences as well as infrastructural lacunas hinder the tech companies in effectively penetrating the mass culture. They assert that a custom-made data protection architecture bodes ill for the future bilateral engagement projects as the cost of logistics will get increasingly high and erode market intimacy between the two natural partners. This paper seeks to shed light on the debates involved with the whole premise of data sovereignty, in the context of Indo-Us relations and the associated issues.

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Data colonialism, digital trade, data protection, operational cost, sovereignty

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This research paper aims to examine the effects of stress on the mental well-being of individuals in the general population. Stress can have psychological consequences such as anger or aggression, feeling out of control, insomnia, tiredness or fatigue, sadness or tears, memory or concentration problems, etc. Quality of life and mental health can be increased by effective stress management. A better way sometimes is to take a little tension to motivate ourselves and get things done. However, if stress persists for a long time or is particularly extreme, it can become a problem. Stress sometimes affects our physical and emotional well-being. Given the fast-paced and demanding nature of modern life and the growing awareness of the effects of stress on mental health. Good stress management helps improve overall metabolism. The aim of this study was to investigate the impact of stress on mental health and to identify factors that contribute to stress and its impact on mental health.

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 Keywords

Stress, Depression, Anxiety, Chronic

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Smartphone addiction is a recent phenomenon in India owing to the economic development, technological advancements in telecommunications and the reduction in high-speed data prices, especially with the Introduction of jio info comm in September 2016, offering free 4G data services for more than six months. Indian youth are quick adopt to these new technologies changes and taking advantage of low cost high-speed data services because of their experimental nature. Today it is a common sight to see the Indian youth immersed in their mobile communication devices(smartphone) leading to Smartphone addiction and various kinds of Depression (Nino G, 2020). Smartphone addiction is still underdiagnosed and potentially a severe and widespread form of addiction (Antounc, 2018). The current study aims to ascertain the degree of problematic Smartphone use and its relationship to Depression and obsessive-compulsive disorder among emerging Indian adults between 18 and 25, who are in an important stage of personality development and growth during the COVID-19 pandemic. A web-based survey is being used for the cross-sectional research of emerging Indian Adults (18-24). The survey includes demographics, various Smartphone use patterns, validated MPPUS-10, and screening questions for Depression using PHQ-9 and questions measuring obsessive-compulsive disorder using BOCS. The study took into account a sample of college students from a variety of ethnic backgrounds (N=413, Mage =18-24, SD age =between 4 and 5, 32% female). Using R software and the lavaan package, descriptive statistics, path analysis, Confirmatory factor analysis, Exploratory analysis and mediation analysis were done. The study's findings reveal the changes in the path direction between the Time spent on smartphone, problematic smartphone use, depression, OCD and how the depression levels during the pandemic affected the smartphone usage behaviour among the Emerging adults.

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 Keywords

Problematic Smartphone usage, Depression, Obsessive Compulsive Disorder, Covid-19, Emerging Adulthood

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With the increase in the usage level of solar energy all across the world, it is necessary to deliver a better output with reduced losses. Conventional PV systems seem to be an efficient solution to the environment but energy conversion efficiency is still low. The purpose of this system is to enhance the output power quality with mitigated total harmonic distortion developed due to non-linear loads. The proposed system consists of PV system connected to the non-linear load through Zeta converter using fuzzy logic controller. The DC power from the PV panel is boosted using Zeta converter which provides suitable output with reduced losses. A DC capacitor connected across VSI acts as a series hybrid active power filter (SHAF) to reduce harmonics and compensates reactive power. This system is simulated using MATLAB/SIMULINK. The performance is analysed and compared with conventional PV system which uses DC-DC boost converter. Zeta converter with FLC provides better harmonic compensation, low ripple voltage and higher output than boost converter with FLC. The result is compared in terms of its input, output and THD. It is concluded that the proposed technique provides improved power quality.

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 Keywords

Total harmonic distortion, FLC, PV Panel, Harmonic compensation, MATLAB, SIMULINK.

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Smart CCTV systems rely on abnormal event detection, human behavior detection, and object recognition to enhance surveillance capabilities. These systems can identify abnormal events, detect unusual human behavior, and monitor the state of the environment. Machine vision and machine learning techniques are commonly used to detect and identify anomalies in CCTV video feeds. Typically, these systems process video frames individually using supervised learning to train the algorithms. However, since anomalies can be diverse and difficult to predict, unsupervised and semi-supervised learning methods are being adopted to train the system.By using these techniques, the workload of manual detection and alert creation for abnormal events in CCTV feeds can be minimized or eliminated. Additionally, the storage efficiency of the system is improved by storing abnormal events in their original quality and storing normal scenarios in lower quality for archiving purposes.

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 Keywords

Human abnormal behavior, Suspicious behavior, Violence

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Creative Commons Attribution 4.0 and The Open Definition