Volume 11 | Issue 4

 Abstract

Because of fast development in numerous fields, generation is influencing human existence in several methods, however we still need to undertake that generation in an effort to make human lifestyles less complicated to stay. Because LPG manufacturing in our use is inadequate, it isn't feasible to deliver LPG via pipes to every home. We currently have an Advance LPG cylinder reserving device thru IVRS or on-line, which makes it hard for illiterate and busy schedule humans to e book the LPG cylinder in advance. Another huge issue that LPG cylinder clients have is they frequently experience painful delays whilst scheduling their cylinders due to the fact they're uncertain of the precise circumstance of the LPG gasoline crowning glory. This take a look at suggests a method with the intention to absolutely automate the reserving of LPG cylinders without any human involvement. This device constantly weighs the cylinder, and when the burden drops below a predetermined level, it routinely sends a message to the accepted LPG Agent to allow them to supply the cylinder on time. Along with the Automated cylinder reserving we additionally designed feature associated with the safety of the user in which it continuously monitors the leakage of LPG gas and signals the user concerning leakage to keep away from principal injuries which fees human lives generally and exhaust fan might be flip ON mechanically.

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 Keywords

LPG Manufacturing, LPG cylinder and LPG deliver.

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Batteries are the coronary heart of the automation system, and its packages are greater in all of the fields, wherein the electrical supply requires. The periodical monitoring and observations are required for battery source to offer non-stop electricity to the load without any interruption. Our proposed gadget video display units and shops parameters that offer an indication of the lead acid battery's acid stage, nation of fee, voltage, contemporary, and the remaining price ability in an actual-time state of affairs. Wireless neighborhood area community is used as the spine network. The information acquire from all the associated battery customers in the gadget is analyzed. This paper provides a battery fitness tracking gadget the use of Internet of Things (IoT) technology. The proposed device makes use of wireless sensors to monitor the voltage, present day, and temperature of batteries in actual time and sends this statistic to a cloud-primarily based server for evaluation. The machine also can offer early warnings of battery disasters and anomalies, making an allowance for proactive protection and replacement, while enhancing their reliability and overall performance.

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Battery, Battery electricity storage device and Tracking gadget

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Energy is one of the major issues that the world is facing in India, the force of energy has been one of the major problems for both civic and pastoral homes. About 60 to 70 of the energy demand of the country is met by fuelwood and husbandry remainders. Solar energy is a renewable source of energy, which has a great eventuality and it's radiated by the sun. The solar PV modules are generally employed in fine surroundings which are the case tropical countries like India. The dust gets accumulated on the frontal face of the module and blocks the incident light from the sun. It reduces the power generation capacity of the module. The power affair reduces as important as by 50 if the module isn't gutted for a month. The cleaning system has been designed cleans the module by controlling the PIC microcontroller programming. To remove the dust in the PV modules to perfecting the power effectiveness. The water will be scattered on the solar panel, which is over hotted. The solar panel is measured with help of temperature detector.

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Solar energy, Sensor, positive voltage and Controller

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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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Soldier, GPS, Sensors and Transmission modules.

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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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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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Digital, Transformation, Gujarat, MSME.

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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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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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Energy Meter, Internet of Things & LCD display

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Gestational diabetes mellitus (GDM) is a pregnancy-specific disease defined as 'diabetes that is first diagnosed in the 28 th week of pregnancy of pregnancy that is clearly not overt diabetes' The occurrence of Gestational Diabetes Mellitus (GDM), has been linked to obesity, GDM in earlier pregnancies, older maternal age, ethnicity and multiparty as well as family history of diabetes. Obesity is a known risk factor of GDM. The prevalence of gestational diabetes mellitus (GDM) varies in direct proportion with the prevalence of type 2 diabetes. We examined socio economic status, health and nutrition status a total of 522 women visiting community health centers (CHC) in Moka(94) and Torangal(428), were screened for GDM. In phase one the screening of the pregnant women for prevalence of GDM by one step procedure assessing plasma blood sugar values. In the present study (n=127) where having impaired glucose tolerance. The rural women diagnosed with impaired tolerance after screening were about 48.8 percent (62) in the age group of 20-21 years. A higher percentage of the subjects (79.5) predominantly belong to joint families. The family size of 2-4 members in the house hold was 42.5 percent and 35.4 percent were 5-6 members in a household. The age group in this study is lower because the subjects were primigravida. About 26.8 percent of them attained menarche at the age of 12 years and 11.8 percent of the respondents attained at 14 years. The age at marriage was found to be 59.1 percent in the age group of 18-19 years this indicates that the respondents were married in their teenage years in most of the rural households. The pre pregnancy weight was measured at the first antenatal visit 18.9 percent of the respondents were in the range of 39-42kg and 35.4 percent of the respondents were in the range of 43-47 kg and only 15 percent of the respondents were above 53 kg. 10.2 percent of the subjects were in very good health among all age groups and only 7.1 percent were having fair health status. However, the findings established the non significant association between age group and general health condition (x2 = 2.41NS). 86.4 percent of subjects in 21 and above years were not suffering from common ailments in the past 3 months. The association was significant (X2 = 6.17*). Subjects of nuclear family were having less incidence (15.4%) of common ailments when compared to joint family (37.6%) subjects, which was significant(X2 = 4.62*).On the whole the data reveals that association of age with incidence of maternal Diabetes is statistically significant ( X2 = 6.68*).

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pregnant women rural women gestational diabetes risk factors

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In today's world, fundamental rights are necessary, and each person has rights that make his or her life easier. The rights that are granted to an individual by the constitution are what constitute a person's fundamental right. The fundamental rights of people in two nations, India and the United States of America, will be discussed in this paper. There will be a discussion about how both countries ensure that the country's laws are properly enforced and understand the needs of its citizens. There will be a discussion about how India and the United States of America share fundamental rights. The few rights that exist in the two nations are also going to be the subject of discussion. Understanding the differences between the two major democracies in the world is the primary objective of this paper.

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Fundamental rights; Freedom; America; India.

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Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy (CARASIL) is a single-gene disorder caused by mutations in the HTRA1 gene, which codes for HtrA serine peptidase/protease 1. (HTRA1). CARASIL, along with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, is the second known genetic form of ischemic, nonhypertensive, cerebral small-vessel disease with an identified gene (CADASIL). The exact prevalence of CARASIL is currently unknown, but approximately 50 patients have been reported to date, the majority of whom were from Japan and two from China. Because no founder haplotype has been identified genetically, the disease is expected to be more widespread. The most common clinical manifestations of CARASIL are ischemic stroke or progressive deterioration in brain function.

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Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy; ischemic stroke; alopecia; spondylosis deformans; small-vessel disease; HTRA1

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In these generation of concrete world, there is a over extensive use of conventional concrete as a advantageous physical properties of it. As these concrete provides the structural rigidity at a glance with lower cost along with locally available material. As the consumption of material is more for conventional concrete day by day the hike in rates of material for conventional concrete is increasing. Hence its necessary to find out the alternative which is sustainable & compares the properties of material as same as conventional material. Conventional concrete is extensively used material world wide approximately up to three billions tones placed per year worldwide. The concern for emission of CO2 for manufacturing process. Hence there has been pressure by various environment protection agencies to reduce consumption of cement with intention to increase the inventions for usage of alternative mineral admixtures. Metakaolin looks to be promising supplementary material to the cement in conventional concrete by its properties along with availability of metakaolin in abundance in country is itself a advantage for these Green concrete. Here the substitution of metakaolin for cement is varied in proportions of 0%, 10%, 30%, 50%, 70 % by weight of cement. A cube casting for various proportions where done to determine the compressive strength of concrete. Hence the test result were evaluated and compare with various proportions to decide the percentage for addition of metakaolin as a additive material with cement for moving society toward Green concrete.

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Green concrete; Metakaolin; Compressive strength; Conventional concrete; Mineral admixtures

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A market in which the prices always fully reflect available information is called 'efficient'. Event studies are the cleanest evidence that is present on semi-strong form efficiency. In 1969, Fama et al., undertook the first ever study and their results lend considerable support to the conclusion that the stock market is efficient. The event study method has become popular because it obviates the need to analyze accounting-based measures of profit. Event studies are based on the assumptions that markets are efficient, the event was unanticipated and there are no confounding effects during the event window.

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EVENT STUDY ANNOUNCEMENT OF STOCK SPLITS AND RIGHTS ISSUE AND ITS IMPACT ON THE MARKET, A STUDY WITH REFERENCE TO BOMBAY STOCK EXCHANGE, INDIA

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The literature associated with the Dalit movements is the sole subject of this thesis. This essay discusses the value of Dalit writers to society. It gravely worries the Dalit movements as well as their leaders and authors. The state of Dalit communities in contemporary society has been evaluated. I deliberately focused on the Dalit struggle and its effects on society.

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Dalit. Movement, Brahamanical, society and writer.

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Big data and analytics have revolutionized the way businesses operate, from understanding customer behavior to streamlining internal operations. This paper explores the concept of big data, its importance in today's business landscape, and how analytics can be used to extract valuable insights from it. We also examine the challenges associated with big data analytics and some of the key technologies and tools used to overcome them. Our analysis suggests that big data and analytics will continue to shape the future of business, making it essential for companies to invest in the necessary infrastructure and talent to stay competitive.

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Big Data, Analytics, Technologies, Processing

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