The document describes a proposed IoT-based smart cradle system for baby monitoring. The system would use sensors to monitor a baby's vital signs and movements in the cradle. It would automatically rock the cradle in response to crying or discomfort. Parents could monitor the baby remotely through a mobile app that displays sensor data and sends alerts. The goal is to enhance parental care and safety by reducing the need for constant physical intervention through automated responses and remote monitoring capabilities enabled by IoT technologies.
This document presents a proposal for an IOT-based intelligent baby care system with a web application for remote baby monitoring. The system uses sensors to automatically swing a cradle when a baby cries, sound alarms if the baby cries for too long or the mattress is wet, and sends alerts to a web page for parents to monitor the baby's status from anywhere via internet connection. The proposed system aims to help working parents manage childcare remotely using sensors, a Raspberry Pi, web camera, and cloud server to detect the baby's activities and notify parents through a web application on their phone.
IRJET - Doting: Smart Infantary Bassinet using Real Time SystemIRJET Journal
This document describes a smart infant bassinet system that uses real-time monitoring to help parents care for babies. The system uses sensors to monitor temperature, humidity, sound levels, and detects when a baby cries or wakes. It has a video camera to allow parents to view the baby remotely. The bassinet can automatically swing or play soothing music in response to the baby's needs. The system notifies parents through a mobile app if any conditions change. It aims to help busy parents monitor babies with minimal human intervention through automated features and real-time data streaming to mobile devices.
IRJET- Smart and Secure IoT based Child Monitoring SystemIRJET Journal
The document describes a proposed smart and secure IoT-based child monitoring system. The system uses radar devices and obstacle sensors to detect when a child enters a danger zone or approaches a harmful object, then alerts the caregiver via mobile notification or alarm. Waterproof ultrasonic sensors placed in a locket worn by the baby would detect dangers and alert the caregiver's mobile device. The system aims to solve problems for baby guardians and secure babies from dangers, notifying guardians when hazards are near. It also reviews several related works on child monitoring systems and IoT applications and their methodologies and findings.
GPS BASED VULNERABLE CHILD TRACKING SYSTEMIRJET Journal
This document describes a GPS-based vulnerable child tracking system. The system uses sensors attached to the child to track their location and activities. A mobile application allows parents to view the child's location in real-time using GPS and see video of the child's activities at school that is captured by a camera and sent to the parents' phones. The system is designed to help working parents monitor their child's safety and activities even when away from home through remote tracking and video monitoring using sensors, GPS, and an IoT-based cloud computing system.
SMART INCUBATOR FOR INFANT MONITORING.pptxNANDHAKUMARA10
to build the prototype of a smart incubator to monitor the vital parameters of the newborns in their neonatal period (First 4 weeks after birth). The smart incubator is capable of monitoring the baby’s body temperature and other vital parameters required by the doctor for examining the newborn. The incubator is based on IoT and other edge computing techniques
This document describes a child tracking system project that uses GPS and GSM technologies. The system uses an Arduino board, GPS module, GSM module, and battery. It tracks a child's location using GPS coordinates and sends the location to the parent's phone via text message using the GSM module. The project aims to help parents monitor their children's location and ensure their safety.
IRJET- Review Paper on –Baby Cradle Monitoring SystemIRJET Journal
This document describes a proposed baby cradle monitoring system that uses various sensors to monitor babies and update parents. It discusses designing a smart baby cradle with features like camera monitoring, automatic swinging when the baby cries, sensing wetness in the baby's bed, monitoring the baby's presence in the cradle, and sending SMS messages to parents' phones to notify them about the baby's status. The proposed system aims to help busy working parents remotely monitor their babies using new technologies while alleviating their stress and anxiety. It outlines the existing limitations and proposes a new architecture using sensors, microcontrollers, and wireless communication.
The Future of the Internet of Things and its Home ApplicationsNael Radwan
Internet of Things (IoT) is a network of human Meshing with everything that exists around us
like our daily life communication through mobiles or the internet. In the next two or three years of (2020),
the internet will be changed to IoT. IoT can connect the smart objects through different technologies like
Bluetooth, ZigBee, and Radio Frequency Identifier (RFID). This paper highlights the effects of IoT on
human beings and their privacy, we suggest how to use IoT with smart home technology to improve the
living style. Smart home technology provides automated, intelligent, smart, innovative and ubiquitous
services to residential users through Information Communication Technology (ICT). The IoT usage has
some drawbacks like fraud and looting people, as a human being will be a part of the IoT. We also discuss
practical examples of a point-to-point connection between the devices. In IoT enabled smart home
environment various things such as lighting, home applications, connecting computers, security camera,
linking home with Civil Defense.
This document presents a proposal for an IOT-based intelligent baby care system with a web application for remote baby monitoring. The system uses sensors to automatically swing a cradle when a baby cries, sound alarms if the baby cries for too long or the mattress is wet, and sends alerts to a web page for parents to monitor the baby's status from anywhere via internet connection. The proposed system aims to help working parents manage childcare remotely using sensors, a Raspberry Pi, web camera, and cloud server to detect the baby's activities and notify parents through a web application on their phone.
IRJET - Doting: Smart Infantary Bassinet using Real Time SystemIRJET Journal
This document describes a smart infant bassinet system that uses real-time monitoring to help parents care for babies. The system uses sensors to monitor temperature, humidity, sound levels, and detects when a baby cries or wakes. It has a video camera to allow parents to view the baby remotely. The bassinet can automatically swing or play soothing music in response to the baby's needs. The system notifies parents through a mobile app if any conditions change. It aims to help busy parents monitor babies with minimal human intervention through automated features and real-time data streaming to mobile devices.
IRJET- Smart and Secure IoT based Child Monitoring SystemIRJET Journal
The document describes a proposed smart and secure IoT-based child monitoring system. The system uses radar devices and obstacle sensors to detect when a child enters a danger zone or approaches a harmful object, then alerts the caregiver via mobile notification or alarm. Waterproof ultrasonic sensors placed in a locket worn by the baby would detect dangers and alert the caregiver's mobile device. The system aims to solve problems for baby guardians and secure babies from dangers, notifying guardians when hazards are near. It also reviews several related works on child monitoring systems and IoT applications and their methodologies and findings.
GPS BASED VULNERABLE CHILD TRACKING SYSTEMIRJET Journal
This document describes a GPS-based vulnerable child tracking system. The system uses sensors attached to the child to track their location and activities. A mobile application allows parents to view the child's location in real-time using GPS and see video of the child's activities at school that is captured by a camera and sent to the parents' phones. The system is designed to help working parents monitor their child's safety and activities even when away from home through remote tracking and video monitoring using sensors, GPS, and an IoT-based cloud computing system.
SMART INCUBATOR FOR INFANT MONITORING.pptxNANDHAKUMARA10
to build the prototype of a smart incubator to monitor the vital parameters of the newborns in their neonatal period (First 4 weeks after birth). The smart incubator is capable of monitoring the baby’s body temperature and other vital parameters required by the doctor for examining the newborn. The incubator is based on IoT and other edge computing techniques
This document describes a child tracking system project that uses GPS and GSM technologies. The system uses an Arduino board, GPS module, GSM module, and battery. It tracks a child's location using GPS coordinates and sends the location to the parent's phone via text message using the GSM module. The project aims to help parents monitor their children's location and ensure their safety.
IRJET- Review Paper on –Baby Cradle Monitoring SystemIRJET Journal
This document describes a proposed baby cradle monitoring system that uses various sensors to monitor babies and update parents. It discusses designing a smart baby cradle with features like camera monitoring, automatic swinging when the baby cries, sensing wetness in the baby's bed, monitoring the baby's presence in the cradle, and sending SMS messages to parents' phones to notify them about the baby's status. The proposed system aims to help busy working parents remotely monitor their babies using new technologies while alleviating their stress and anxiety. It outlines the existing limitations and proposes a new architecture using sensors, microcontrollers, and wireless communication.
The Future of the Internet of Things and its Home ApplicationsNael Radwan
Internet of Things (IoT) is a network of human Meshing with everything that exists around us
like our daily life communication through mobiles or the internet. In the next two or three years of (2020),
the internet will be changed to IoT. IoT can connect the smart objects through different technologies like
Bluetooth, ZigBee, and Radio Frequency Identifier (RFID). This paper highlights the effects of IoT on
human beings and their privacy, we suggest how to use IoT with smart home technology to improve the
living style. Smart home technology provides automated, intelligent, smart, innovative and ubiquitous
services to residential users through Information Communication Technology (ICT). The IoT usage has
some drawbacks like fraud and looting people, as a human being will be a part of the IoT. We also discuss
practical examples of a point-to-point connection between the devices. In IoT enabled smart home
environment various things such as lighting, home applications, connecting computers, security camera,
linking home with Civil Defense.
IRJET - Home Monitoring System for SidsIRJET Journal
This document describes a home monitoring system designed to reduce Sudden Infant Death Syndrome (SIDS) by monitoring infants under 1 year of age. The system uses sensors integrated into wearable clothing to detect respiration, pulse, temperature, and smoke. It sends the sensor data to a microcontroller connected to the clothing, which then transmits the data via Wi-Fi to a mobile phone and cloud database. This allows parents to monitor the infant's vital signs from their phone. The system aims to be inexpensive, comfortable for infants to wear, and able to wirelessly transmit data to warn parents of any dangerous conditions like high temperature or smoke exposure.
42 9132 child tracker presence and location edit tyasIAESIJEECS
Many times children on their own are getting away from parent's view at home or on crowded areas like malls and beach. Not in all cases, but rather from time to time it is unpretentious the kids and hopeless things happening moreover. So it is fundamental for each parent to have a dominating reaction for shield the child from missing. However, the couple of GPS based after things are open in the market, they cost high and also needs a month to month charge for GSM advantage. Energize GPS is significant for outside after and not for nearby spots like strip shopping centers or houses. Also, the things accessible in the market are not viewing the improvement of a young wearing it. Our answer utilizes two contraptions for parent and tyke, clear RF correspondence between gadgets, virtual fencing using RF and tyke improvement viewing. The parent and child can wear this device rather than watch since it displays time data to them.
IRJET- Child Safety Wearable Device using Wireless TechnologyIRJET Journal
The document describes a child safety wearable device that uses wireless technology. The device monitors a child's health conditions like temperature and heartbeat using sensors. It also detects changes in position using an accelerometer and detects obstacles using an ultrasonic sensor. If abnormal readings are detected, an alert is sent via SMS and a video is captured and emailed. The device is integrated into a glove and connects to the cloud to store and display sensor data for authorized users to access remotely. The system aims to help reunite lost children with their parents.
Infant Care Assistant with Emotion Detection-Using Machine Learning, Image Pr...IRJET Journal
This document describes an infant care assistant device that uses sensors, machine learning, and IoT technology to monitor infants and help soothe them. The device collects data on temperature, humidity, noise levels, and moisture using sensors connected to a microcontroller. It can automatically rock a baby cradle and turn on a fan based on the sensor readings. It also includes a Raspberry Pi with camera for real-time emotion detection using machine learning to analyze the infant's face. The system aims to help busy parents remotely monitor and care for their children.
IRJET- IoT Enabled Children Safety SystemIRJET Journal
This document describes an IoT-enabled system to track children's safety on school buses. The proposed system uses RFID tags on student ID cards and an RFID reader on the bus to detect when students board. It also uses a GPS module to track the bus location. Data is sent to a cloud-based server and database. Parents can monitor their children's movement and location using a mobile app. The system aims to address safety concerns and notify parents of any issues. It provides real-time tracking to ensure children's comfort and safety while traveling to and from school.
IRJET- IoT based Smart Cradle System for Baby MonitoringIRJET Journal
This document describes a proposed IOT-based smart cradle system for baby monitoring. The system uses various sensors to monitor the baby's conditions and activities in the cradle. It uses a sound sensor to detect if the baby is crying and will automatically start swinging the cradle. It uses a wet sensor to detect if the baby's diaper is wet and sends an alert. It uses temperature sensors to monitor the baby's body temperature and room temperature, sending an alert if any large changes are detected. It uses a motion sensor to detect motion in the cradle for security purposes and will send an alert if excessive motion is detected. The system is designed to help parents monitor the baby remotely using their mobile phones and decrease their stress while allowing them to
A Comparative Study on School Bus Safety and SecurityIRJET Journal
This document summarizes a research paper that proposes a school bus safety and tracking system using IoT technologies like RFID and GPS. The system would allow parents to track their children's bus location and receive notifications when children board and exit the bus using an SMS-based solution. It discusses how previous related works have implemented systems using technologies like fingerprint sensors, IR sensors, and alcohol detectors. The proposed system in this paper uses an RFID-based attendance tracking system, GPS for bus location tracking, and an Android app for parents to view location and timing data in real-time. It aims to provide peace of mind to parents by allowing them to monitor their children's transportation to and from school.
The term Internet of Things (Often abbreviated IOT) was coined more than ten years ago by industry researchers but has emerged into mainstream public view only more recently. Some claim the Internet of Things will completely transform how computer networks are used for the next 10 or 100 years, while others believe Internet Of Things is hype that won't much impact the daily lives of most people.
IoT devices are increasingly being used for animal care and monitoring of both domestic and wild animals. These devices range from fitness trackers for pets to sensors that alert owners when farm animals are ready to give birth or help locate lost pets using GPS. IoT has also been implemented in zoos to better animal living conditions and safety by allowing zookeepers to monitor sleeping patterns and environmental conditions. The use of IoT for animal care has become a major driver of industry growth as animal-focused devices provide important monitoring while also appealing to pet owners.
In this presentation, Abbas introduces IoT and associated trends. Abbas's interest area lies in deploying IoT in warehouses to prevent food wastage and add more value to the farming community.
IRJET- Smart Tracking System for School Buses for Ensuring Child Security...IRJET Journal
This document proposes a smart tracking system for school buses using IoT and GPS technology to ensure child security. The system uses fingerprint scanning, alcohol detection, and speed monitoring to identify riders, ensure driver safety, and prevent overspeeding. When a child boards or exits the bus, their fingerprint is scanned and their location is sent to a server and notified to parents. If the driver is found to have consumed alcohol or the bus speed exceeds limits, alerts are sent. The system aims to address issues like kidnappings and accidents by providing real-time tracking and safety checks to reassure parents.
INTELLIGENT HSE-HAZOP CRADLE FOR HOME AND HOSPITAL BABY MONITORINGIRJET Journal
The document describes a proposed intelligent HSE-HAZOP cradle system for monitoring babies in homes and hospitals. The system uses sensors and microcontrollers like Node-MCU to automatically activate rockers when a baby cries. It also detects temperature and humidity to alert caregivers if levels are abnormal. The cradle system is connected to the Internet of Things to allow remote monitoring and control via a mobile app. The proposed system aims to help working mothers and busy nursing staff by automating some baby monitoring and care tasks. A prototype was developed to automatically play lullabies and turn on lights to soothe crying babies in addition to remote monitoring capabilities.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
In this presentation, Shantanu introduces IoT and associated trends. His interest area lies in collaboration of cloud
computing and data management in IoT.
A wearable device for machine learning based elderly's activity tracking and ...journalBEEI
The number of older people is increasing in many countries. By 2030, it is estimated that 15% of the overall population will be comprised of people aged 65 and above. Hence, the monitoring and tracking of elder activities to ensure they live an active life has become a major research topic in recent years. In this work, an elderly sub-activity tracking system is developed to detect the sub-activity of the elderly based on their physical activities and indoor location. The physical activities tracking system and indoor location system is combined in this project to enhance the context of the elderly activities (i.e. sub-activities as defined in this project). An indoor location system is developed by using Bluetooth Low Energy (BLE) beacon and BLE scanners to measure the Received Signal Strength Indicator (RSSI) signal to detect the location of the elderly. The activity tracking is carried out via a waist wearable device worn by the elderly. Random forest and Support Vector Machine (SVM) are used as machine learning classifiers to predict the activity and indoor location with an accuracy of 95.03% and 86.58%, respectively. The data from activity tracking and indoor location sub-systems will then be combined to derive the sub-activity and push to an online Internet of Things (IoT) platform for remote monitoring and notification.
The presentation is about research on wearable devices for elderly people in Canada. It includes:
1) An introduction that provides background on wearable IoT devices and their benefits.
2) A classification of wearable IoT applications into health, activity recognition, tracking, and safety.
3) Discussion of the challenges and future possibilities of wearable IoT, including data resolution, power consumption, wearability, safety, and security.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
Smart internet of things kindergarten garbage observation system using Ardui...IJECEIAES
Increase the in population and kindergarten number, especially in urban areas made it difficult to properly manage waste. Thus, this paper proposed a system dedicated to kindergartens to manage to dispose of waste, the system can be called smart garbage based on internet of things (SGI). To ensure a healthy environment and an intelligent waste in the kindergarten management system in an integrated manner and supported by the internet of things (IoT), we presented it in detail identification, the SGI system includes details like a display system, an automatic lid system, and a communication system. This system supplied capabilities to monitor the status of waste continuously and on IoT website can show the percentage of waste placed inside the bin. And by using a Wi-Fi communication system, between the system unit and the monitoring body, to collect waste when the trash is full. The smart system proposed in this paper is the most efficient system of traditional waste management systems because it reduces the use of manpower and significantly limits the spread of waste and fully controls it. Additionally, it can be linked via the IoT to the mobile, thus forming an integrated monitoring system.
Smart Gardening System Using the Internet of ThingsIRJET Journal
This document describes a proposed smart gardening system using IoT technology. It would use sensors to monitor soil conditions like moisture, temperature and humidity. An ESP32 microcontroller would collect data from the sensors and send it via WiFi to the cloud. The user could access the sensor data through a mobile app to monitor their garden remotely. If conditions exceed thresholds, the system could automatically trigger actions like turning on irrigation. The system aims to help farmers more easily manage their gardens without constant physical presence through automated monitoring and control enabled by IoT.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document describes an infant care assistant device that uses sensors, machine learning, and IoT technology to monitor infants and help soothe them. The device collects data on temperature, humidity, noise levels, and moisture using sensors connected to a microcontroller. It can automatically rock a baby cradle and turn on a fan based on the sensor readings. It also includes a Raspberry Pi with camera for real-time emotion detection using machine learning to analyze the infant's face. The system aims to help busy parents remotely monitor and care for their children.
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This document describes a proposed IOT-based smart cradle system for baby monitoring. The system uses various sensors to monitor the baby's conditions and activities in the cradle. It uses a sound sensor to detect if the baby is crying and will automatically start swinging the cradle. It uses a wet sensor to detect if the baby's diaper is wet and sends an alert. It uses temperature sensors to monitor the baby's body temperature and room temperature, sending an alert if any large changes are detected. It uses a motion sensor to detect motion in the cradle for security purposes and will send an alert if excessive motion is detected. The system is designed to help parents monitor the baby remotely using their mobile phones and decrease their stress while allowing them to
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The number of older people is increasing in many countries. By 2030, it is estimated that 15% of the overall population will be comprised of people aged 65 and above. Hence, the monitoring and tracking of elder activities to ensure they live an active life has become a major research topic in recent years. In this work, an elderly sub-activity tracking system is developed to detect the sub-activity of the elderly based on their physical activities and indoor location. The physical activities tracking system and indoor location system is combined in this project to enhance the context of the elderly activities (i.e. sub-activities as defined in this project). An indoor location system is developed by using Bluetooth Low Energy (BLE) beacon and BLE scanners to measure the Received Signal Strength Indicator (RSSI) signal to detect the location of the elderly. The activity tracking is carried out via a waist wearable device worn by the elderly. Random forest and Support Vector Machine (SVM) are used as machine learning classifiers to predict the activity and indoor location with an accuracy of 95.03% and 86.58%, respectively. The data from activity tracking and indoor location sub-systems will then be combined to derive the sub-activity and push to an online Internet of Things (IoT) platform for remote monitoring and notification.
The presentation is about research on wearable devices for elderly people in Canada. It includes:
1) An introduction that provides background on wearable IoT devices and their benefits.
2) A classification of wearable IoT applications into health, activity recognition, tracking, and safety.
3) Discussion of the challenges and future possibilities of wearable IoT, including data resolution, power consumption, wearability, safety, and security.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
Smart internet of things kindergarten garbage observation system using Ardui...IJECEIAES
Increase the in population and kindergarten number, especially in urban areas made it difficult to properly manage waste. Thus, this paper proposed a system dedicated to kindergartens to manage to dispose of waste, the system can be called smart garbage based on internet of things (SGI). To ensure a healthy environment and an intelligent waste in the kindergarten management system in an integrated manner and supported by the internet of things (IoT), we presented it in detail identification, the SGI system includes details like a display system, an automatic lid system, and a communication system. This system supplied capabilities to monitor the status of waste continuously and on IoT website can show the percentage of waste placed inside the bin. And by using a Wi-Fi communication system, between the system unit and the monitoring body, to collect waste when the trash is full. The smart system proposed in this paper is the most efficient system of traditional waste management systems because it reduces the use of manpower and significantly limits the spread of waste and fully controls it. Additionally, it can be linked via the IoT to the mobile, thus forming an integrated monitoring system.
Smart Gardening System Using the Internet of ThingsIRJET Journal
This document describes a proposed smart gardening system using IoT technology. It would use sensors to monitor soil conditions like moisture, temperature and humidity. An ESP32 microcontroller would collect data from the sensors and send it via WiFi to the cloud. The user could access the sensor data through a mobile app to monitor their garden remotely. If conditions exceed thresholds, the system could automatically trigger actions like turning on irrigation. The system aims to help farmers more easily manage their gardens without constant physical presence through automated monitoring and control enabled by IoT.
Similar to Enhanced Baby Monitoring: IoT-driven Smart Cradle System (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.