State of mind is essential in every person’s life to keep their life stable, calm and peaceful. The key factors that contribute towards them are mood, emotion and thoughts. monitoring them is key to a person's ov...
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ISBN:
(纸本)9781665426350
State of mind is essential in every person’s life to keep their life stable, calm and peaceful. The key factors that contribute towards them are mood, emotion and thoughts. monitoring them is key to a person's overall development and allows family and friends to support them to a greater extent. One aspect of getting a report on this is using the words being typed by the person on their computer or mobile, browser history, songs and movies played. This paper proposes a sentiment analysis system where information about mood and thoughts are conveyed by means of natural language processing. These logs captured during each time session are classified to gain insights about the person. This reduces the likelihood of any drastic decisions taken by the person and provides a better means of conveying the information and maintaining communication between them and their relations.
The importance of sleep to a person’s health and well-being cannot be overstated. Sleep monitoring and analysis control has been transformed by the combination of Internet of Things (IoT) technologies and wearable de...
The importance of sleep to a person’s health and well-being cannot be overstated. Sleep monitoring and analysis control has been transformed by the combination of Internet of Things (IoT) technologies and wearable devices in recent years. This system analyzes the improvements achieved in sleep monitoring wearable enabled by IoT, providing a thorough and discreet method of evaluating sleep activities. Accelerometers and heart rate monitors are at the heart of these wearables, which also have complex processing units and connectivity modules. Insightful sleep quality analysis, precise sleep stage separation, and real-time data collecting are all made possible by this complementary relationship. Wearables may track sleep patterns, interruptions, and effectiveness by recording motion, heart rate variability, and brain activity through various sensors. Smart cloud interfaces that provide sleep metrics and trends improve the user experience and allow a deeper analysis of a person’s sleeping habits. In addition, these wearables may easily connect to smart home systems, enhancing sleep quality by modifying the house’s lighting and audio settings depending on the individual’s sleeping habits. The data gathered by these wearables has wider uses beyond personal sleep monitoring, such as helping the system better understand and treat sleep conditions.
modern technology is the best thing to be used in every commercial sector. The devices are well equipped to understand the problems of the users. The offices are now been maintained by technology the devices for daily...
modern technology is the best thing to be used in every commercial sector. The devices are well equipped to understand the problems of the users. The offices are now been maintained by technology the devices for daily monitoring even the electrical appliances are been monitored and maintained by technology. In previous times the best method of this work is to make it via cloud computing, but now as technology has evolved and evolved new adding devices are making systemmalfunction. The fault of cloud computing needs to be identified, So the best method is to automate the office with the introduction of IoT. it is a platform equipped with all the facilities for monitoring and maintaining the devices inside the office, even the working capacity of employees is also measured via this method. The study is showing the effectiveness of the IoT to identify the faults of cloud computing related to maintaining the working method of the office. The data collected for this study is secondary data like articles, books, journals and many more. Then gathered data is analyzed by qualitative data analysis. The results are quite positive about the use of it to automate the office and its working procedure.
monitoring water quality has become crucial to provide clean and safe water. The traditional monitoring procedures are useless because they take a lot of function, require a long time, and cannot give results instantl...
monitoring water quality has become crucial to provide clean and safe water. The traditional monitoring procedures are useless because they take a lot of function, require a long time, and cannot give results instantly to promote proactive water contamination reactions. This paper introduces a Reliable and efficient routing for Water Quality monitoring (REWQ) in Underwater Wireless Sensor Networks (UWSNs). This mechanism utilizes the Cuckoo search (CS) algorithm to select the next hop to transmit the data from the sender to the surface region sink. The CS algorithm computes the fitness function by node energy usage, depth value and loss ratio. The proposed CS algorithm aims to improve reliability and successful data forwarding. This model is implemented, and its performances are evaluated by network simulator-NS-3. From the simulation results, the REWQ mechanismminimizes the average deliverance time and improves the residual energy.
A 5G ultra dense network architecture makes use of a high density of micro cell base stations to provide increased coverage, capacity, and performance for 5G communication systems. This is accomplished by the utilizat...
A 5G ultra dense network architecture makes use of a high density of micro cell base stations to provide increased coverage, capacity, and performance for 5G communication systems. This is accomplished by the utilization of a very densely packed network. A 5G ultradense network is another name for this particular category of network. Ultradense networks are built to overcome the limitations of ordinary cellular networks. This is accomplished by increasing the number of base stations that are located inside a given area. This is performed by reducing the coverage area provided by each base station, which ultimately leads to an increase in the capacity of the entire network. The maximum data rate or capacity that may be obtained through a certain wireless channel is referred to as the “channel capacity” in a 5G ultradense network, when the phrase “channel capacity” is used. One possibility is that this represents the maximum quantity of data that can be transmitted across the channel. These criteria, which represent the capabilities of the channel, can be used to evaluate the performance of channels and equipment on 5G networks. This article presents for further research a model for improving the channel capacity of the 5G ultradense network. The model can be found at the end of the article. This change will result in an increase in both the usefulness of the channel and the amount of bandwidth that it consumes; both of these aspects will improve. The fact that it uses a very small quantity of energy and power in compared to other methods is the major trait that sets it apart from other methods. This technology is superior to others in terms of both the amount of data it can communicate and the amount of electricity it consumes in the process.
Environmental sustainability, energy and raw material availability, and globalization are just a few of the major societal concerns that are generating new demands on a wide range of societal players. Efficiency, adap...
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ISBN:
(纸本)9798350308167
Environmental sustainability, energy and raw material availability, and globalization are just a few of the major societal concerns that are generating new demands on a wide range of societal players. Efficiency, adaptability, sustainability, and competitiveness are some of the new criteria. These have been around for a while, and a variety of systems have been tuned locally in terms of a few of these requirements, but recent developments with regard to communication and computational characteristics have made themmuch more useful to guarantee new possibilities for combining various parts of society, allowing for optimum performance on a scale that is far greater. The impact of IoT on several sectors of the economy has been substantial. The Internet of Things (IoT) is a technology that allows us to manage physical things over the internet in order to save time and energy. There are several factories in India because of the country's rapid economic growth. However, industrial accidents were a severe problem in many sectors. However, industrial accidents were a big problem because they resulted in casualties and financial losses for businesses. This initiative aims to reduce the devastating effects of fires in high-risk industries including the oil, chemical and petrochemical sectors, where many lives and fortunes have been lost. It is crucial to have a system in place that can ensure the safety of the factory grounds and promptly alert the proper authorities should an emergency arise. In the past, a single bottle at a time would be loaded onto a conveyor and filled. This strategy is time-consuming and costly. Internet of Things (IoT) in Industries has been implemented to monitor and notify the individual in charge to take suitable measures in order to reduce manual overhead and therefore partially meet our needs. The manufacturing sector might benefit from AI-based management and oversight. 'Ecosystem having manufacturing Relevant Implication' better describes the I
作者：
Shivangi SharmaAjay Kumar SinghM.Tech (CSE)
Computer Science and Engineering Department Meerut Institute of Engineering and Technology Meerut India 250005 Dept. Of CSE
Computer Science and Engineering Department Meerut Institute of Engineering and Technology Meerut India 250005
Internet of the Everything (IoE) along with different technologies like Cloud and Arduino UNO is of great use throughout the disaster. We have used the mLX90614 Sensor to send the temperature of the person on the clou...
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ISBN:
(数字)9781665420761
ISBN:
(纸本)9781665420778
Internet of the Everything (IoE) along with different technologies like Cloud and Arduino UNO is of great use throughout the disaster. We have used the mLX90614 Sensor to send the temperature of the person on the cloud with the help of Arduino UNO. This sensor can assist in discovering all of the humans who have come into touch with the infected people. This IoE generation is also useful in tracking sufferers. For those who are having a high probability of getting infected, their information can be supplied to the healthcare workforce to take further action. The COVID-19 epidemic can be controlled by IoE-stimulated frameworks. IoE answers at the side of far-flung health monitoring. If the disease is found in a suspected person then this information is passed through IoE to the health care team. IoE technology which is used here can be a fantastic way to control epidemics. Here we have maintained the privacy and protection issues in our project. IoE is very well analyzed with growing requirements and for multi-tasking practices.
The Digital Twin (DT) method offers new concepts for choosing the context of information technologies and smart production systems. This research focuses on low-price, extremely effective defect diagnosis methods, low...
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To monitor a specified Google Cloud Storage bucket for any changes or accesses made to its contents. When an access or change is detected, the cloud function will automatically send an email notification to a specifie...
To monitor a specified Google Cloud Storage bucket for any changes or accesses made to its contents. When an access or change is detected, the cloud function will automatically send an email notification to a specified email address with information about the access or change, including the time of access, the user who accessed the data, and the specific data that was accessed. The paper represents the Google Cloud Platform services, which includes Cloud Storage and Cloud Functions. The Cloud Function will be triggered by a Cloud Storage whenever an object is accessed. The Cloud Function will then parse the notification message and extract the relevant information, such as the object name and access time, and send an email notification. The automated email notification system will help cloud storage administrators monitor access to their storage buckets, identify potential security breaches or unauthorized access, and take appropriate action in a timely manner. It also provides a record of all access activity, which can be useful for audit purposes and compliance requirements.
To improve text input for motor-disabled people, this research uses the Internet of Things (IoT) and machine learning. Swipe-to-Type, a popular touch-based input technique, is the study’s focus. User swipe motions an...
To improve text input for motor-disabled people, this research uses the Internet of Things (IoT) and machine learning. Swipe-to-Type, a popular touch-based input technique, is the study’s focus. User swipe motions and contextual data are collected in real-time using IoT devices. A machine learning framework trains the algorithm to adapt to disabled users’ motor skills and preferences. Addressing motor impairment problems, the suggested method improves text input efficiency and personalization. The Swipe-to-Type algorithm is constantly adjusted based on learned patterns to maximize text input speed and accuracy. Integration of IoT devices allows continuous monitoring and adaption, guaranteeing a responsive and user-centric solution. The study technique includes motor disability data gathering, machine learning model creation, and algorithm refining. Preliminary text input performance enhancements may improve communication and accessibility for motor-disabled people. By using IoT and machine learning to empower motor-disabled persons, this research advances assistive technology. The results show that adjusting input techniques to varied user demands is feasible and successful, encouraging digital inclusion.
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