Volume 11 | Issue 4 |

 Abstract

The article describes a method for tracking and monitoring troops' health that is based on the Internet of Things (IoT). The proposed system can be installed on the soldier's body to use GPS to track their whereabouts and health status. These details will be relayed by IoT to the control room, and a soldier's health, including their body temperature and heart rate, will also be monitored. A further component of the system allows soldiers to manually request assistance or to alert the military if they require assistance. Small wearable physiological devices, sensors, and transmission modules make up the proposed system. It is conceivable to construct a low cost technique to defend the priceless human life on the battlefield by using the recommended equipment. The method is particularly useful for gathering information about a soldier's health status and giving them with immediate assistance. They are better protected by a thermal jacket when operating in adverse weather conditions.

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 Keywords

Soldier, GPS, Sensors and Transmission modules.

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 Abstract

To ensure that blood is safe for patient use, optimal temperature must be maintained at all times. Blood bank monitoring not only reduces waste but also provides rigorous support for inventory levels to ensure patients receive blood when they need it. Manual recording of temperatures in blood banks has the potential to suffer from human error as well. Customizable and with low learning curves, an automated environmental monitoring system not only documents temperature but also motion and humidity to ensure the safety of blood. Also, with the help of an IoT application, blood donors can be identified using an RF tag. This can help more people in many ways, even saving lives at a critical time. The continuous monitoring and automatic updating of temperature, humidity values, and IR sensors are used to count the number of people inside the blood bank. The inbuilt time monitoring to ensure the expiring date of the stored blood packs in the blood bank is done through the cloud with the help of an IoT module. Then, which type of blood is available in the blood bank that information was identified using the Cayenne app through the IoT.

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 Keywords

Blood donor, LCD display, IR sensors and Automated Blood Bank

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 Abstract

Vehicles have Come an integral part of every one's life. Situations and circumstances demand the operation of vehicles in this fast paced civic life. As a coin has two sides, this has its own goods, one of the main side goods being air pollution. Every vehicle will have emigration but the problem occurs when it's beyond the standardized values. The primary reason for this breach of emigration position being the deficient combustion of energy supplied to machine, which is due to the indecorous conservation of vehicles. This emigration from vehicles cannot be fully avoided but, it surely can be controlled with the evolvement of semi-conductor detectors for detecting the colorful feasts. The end of the design is to cover and control the adulterants in the vehicle by using the pollution control circuit. This pollution control circuit consists of colorful detectors like CO detector, accident detector, IoT module GPS and IoT module and all of them are integrated and connected to a snap microcontroller. This paper demonstrates an effective application of technology by which we save our terrain by controlling the pollution of vehicles. FC date is covered with help of a memory. If incase of FC period exit the IoT module will modernize the current vehicle position to the RTO office. This paper, when stoked as a real time design, will profit the society and help in reducing the air pollution. The accident information system will warn vehicle proprietor relative or near sanitarium through IoT with the accident position using GPS. It's also veritably useful for women safety. However, this system sends the GPS position by using switch, if women are attacked by anyone.

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 Keywords

Accident sensor, Fuel supplier and Emission

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The study's purpose is to assess how the Digital Transformation of MSME is conducted in Gujarat. This study deepens understanding of Digital India with the final objective to know why despite huge government investment in digitalization the in the MSME sector the number of MSMEs in the digital platforms remains low. The study also identifies fragilities in digital transformation policy for SMEs and suggests policy recommendations to move forward. The study is intended to employ secondary sources of data. Desk review was employed for documentary review on reports, research papers, policy papers and articles. The paper has identified problems related to MSMEs in Gujarat such as a lack of technical skills, financial limitations, and lack of vision required for the adoption of digital transformation by MSMEs. This result has been at a slower pace, in 2018 only 6% of MSMEs adopted digitalization. The lower level of awareness, unavailability of talented human resources, absence of an understanding of the benefits that could reap through of digital technology, and cost of adoption are some of the impeding factors of digitalization. The study recommends some improvements in the MSME Draft Policy and the adoption of MSME Guidelines for Digital Transformation.

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 Keywords

Digital, Transformation, Gujarat, MSME.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal medicines are the make up an significant constituent of the tendency toward alternative medicine. Natural Medicine is becoming are the most popular in today"s world as society People seek out natural remedies. Natural (Herbal)Medicines it has been used since the dawn of the civilization to maintain health and to treatment the various diseases. To the comtate with an grow pharmaceutical marketing, and there is the important to used as the,cientifically Authenticate the more medicinal use of the herbal product. That article are provide a general idea of the herbal Medicine and the intended to explain that the therapeutic effectiveness of these various of herbal medicine.

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 Keywords

Herbal drugs, testing, Stability, Efficiency, Standasation

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Municipal Solid Waste Management remains a major problem in urban areas, leading to serious health and environmental issues. Consequently, trash bins are placed in many places to handle municipal solid waste. These bins can overflow, spreading around the area, polluting the environment and causing inconvenience to the public. There is a need for areal time monitoring system that alerts the level of garbage in the trash bins to a municipality or a waste management company. In this proposed system is," Trash Bin Level Monitoring System using IoT". The trash bin unit is used to monitor the waste in the Dustbin. We are using ultrasonic sensor, Gas sensor, Microcontroller and GPS. Solar panel is used to charge of the battery for trashbin unit. In this system, the ultrasonic sensor is used to monitor the level of garbage and gas sensor is used to detect the garbage gases. If the sensor values are continuosly updated to IoT via cloud and can be displayed to LCD. If any sensor values are greater than the set of threshold value, then trash bin location send to the IoT/Municipality using GPS module.

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 Keywords

Internet of Things, sensor systems, solid waste management, trash bin, solar-powered,GPS.

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Nowadays most of the pollution monitoring systems are widely used in industries. The industrial parameters which causes pollution in the natural and industrial environment pattern. The main aim of our project is to control the parameters causing pollution and to reduce the effect of these parameters without affecting the natural or industrial environment. The proposed technique is to design an efficient system to read and monitor pollution parameters and if any of these factors exceeds the industry standards, immediately this information send to pollution control authority by using IoT methodology. Which will automatically monitor, if any of these parameters affects the system. And also these parameters can be monitor in PC. These systems find the amount of pH present in the industry, level of smoke released, machine temperature and noise levels in an industrial setting during a procedure. In order to effectively monitor and regulate pollution, we will attempt to do so through our project. Data can be sent through ZigBee connectivity. In order to engage with the outside world and transfer information, Cayenne provides a graphical user interface to the user.

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 Keywords

Industrial Contamination, Pollution, Iot & Global warming

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Purpose: This research study aims to examine the relationship between the entrepreneurial characteristics and financial performance of small and medium scale enterprises, also to find out the influence of entrepreneurial characteristics have on the financial performance of the small and medium scale enterprises in Pune, India. Method: Data was collected through the random sampling method and the questionnaire was designed in five point ordinal scale precisely Likert scale. In total 254 entrepreneurs were administered with the questionnaire and data collected from 210 respondents were complete and useful for the research process. All the respondents are entrepreneurs from the industrial city Pune. Statistical Analysis: Descriptive Statistics were used for Frequency Distribution, Mean, Standard Deviation; Cronbach Alpha for Reliability Test, Variance Inflation Factor (VIF) for Multicollinearity, Karl Pearson Correlation Coefficient, Two-Tailed -T-Test, F-Test, ANOVA, and Multiple Regression Analysis. And all the data was processed through IBM SPSS 23. Findings: The study results showed that entrepreneurial characteristics have a significant and positive influence on the financial performance of small and medium scale enterprises located in the Pune, India. The most influential independent variable on the financial performance is risk-taking propensity followed by innovativeness, need for achievement, self-confidence, and locus of control.

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Keywords: Entrepreneurial Characteristics, Financial Performance, Small & Medium Scale Enterprises.

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As the number of devices on the internet increases, the need to protect against intrusions becomes crucial. An Intrusion Detection System (IDS) distinguishes incoming malicious network data from benign data. Traditional signature-based IDS are vulnerable to novel attacks, bringing the need for anomaly-based IDS that use machine learning to detect newer attacks. The thesis aims to research anomaly-based IDS focusing on deep learning methods. Traditional deep learning approaches are compared with Generative Adversarial Networks (GAN) and adversarial machine learning approaches. The methods are evaluated using statistical measures on two different datasets. During the evaluation phase, adversarial samples are considered along with benign and known attack samples. Finally, the best approach is benchmarked against existing open-source anomaly-based IDS. An approach employing a GAN to create adversarial samples performs better than all the other considered approaches. Additionally, the approach performs on par with existing anomaly-based IDS in the case of adversarial data points. We conclude that GAN-based approaches can be further developed to create intrusion detection systems that effectively defend against novel and adversarial attacks. Keywords: Critical Infrastructure, Machine Learning, Intrusion Detection Systems.

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Cyber security

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One of the most crucial aspects of our daily lives is electricity. For the full and proper use of our electricity, it must be done in the right manner. However, despite the fact that the country has a surplus of energy in many locations, there are still a large number of places that cannot even get access to it. Our goal is to lower monthly bills by using wireless technology and sending payments from remote locations straight to the electricity billing office. By doing this, we can cut down on the amount of time and effort now needed to visit every home in our system. The disadvantage of our existing bill payment system, which is a postpaid system, is that users' electricity use is not under any kind of user control. We intend to create a prepaid system for bill payment in order to reduce errors, as well as an IOT-based energy meter. This paper allows you to obtain the electricity bill, electricity providing days, and the previous bill. Our presented framework focuses on the part of smart grid parameter monitoring and calculation using IoT enabled smart meters (SMs). Our proposed system's first concept is that the load will consume the unit of energy and a bill will be generated based on the number of units consumed. The webpage will also provide real-time analysis. With the help of LCD displays, we can precisely determine the amount of energy consumed in the consumer node. In the second notion, we can observe the number of units consumed by the consumer side and, if they don't pay the Appropriate amount, we can use an IoT relay to disconnect the power supply. The third idea is to update to IoT while monitoring the current transformer of how much power the user uses.

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 Keywords

Energy Meter, Internet of Things & LCD display

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Creative Commons Attribution 4.0 and The Open Definition