Cow behavior recognition systems support the assessment of cows' condition by providing their information. Accelerometers are particularly suited for a non-invasive solution development these monitoring systems. They cheap and simple in setting up high-performance when using machine learning algorithms. The activity complexity animals brings challenges real context applications because different behaviors may have similar acceleration data. reason is that they contain gestures, example,...

Electron paramagnetic resonance (EPR) is a spectroscopy and imaging method based on detecting the spin of electrons. EPR particularly suited for quantifying free radicals biological markers oxidative stress, which it only quantitative at moment. Its application in clinical contexts major challenge because lack standardized procedures estimating measurement quality. Previous work analyzed Lorentzian model single-line spectra derivative limit. For general case, modified acquisition procedure...

Monitoring and classifying cow behaviors provides valuable support for livestock management. This can be done through sensors attached to the pet. Due their small size, light weight, high accuracy, accelerometers are well-suited this purpose. However, complexity of behaviors, which often involve similar movements, poses challenges in interpreting sensor data. paper presents a novel classifier design based on acceleration data specific set features. By analyzing data, we extracted features...

<abstract> <p>Monitor and classify behavioral activities in cows is a helpful support solution for livestock based on the analysis of data from sensors attached to animal. Accelerometers are particularly suited monitoring cow behaviors due small size, lightweight high accuracy. Nevertheless, interpretation collected by such when characterizing type still brings major challenges developers, related activity complexity (i.e., certain contain similar gestures). This paper presents...

Classification of activities from body-worn accelerometer data to help monitor and take care health attracts much attention the research community.This paper proposed design a real-time monitoring device that can identify people's actions accelerometer's worn on waist with five activities, including lying, sitting, standing, walking, jogging.From collected acceleration data, it is necessary extract suitable features for classification high performance.These are trained machine learning...

It has been well established that sleep posture plays a key role in quality monitoring. Consequently, many noncontact and wearable devices, whose systems rely on sensors such as cameras, radar, wireless, accelerometers, have developed to classify positions postures. However, were often unsuccessful when facing limited conditions low light physical obstacles. On the other hand, currently research, which involves may used machine learning models but not competently exploited more accurate deep...

There has been increasing interest in the application of artificial intelligence technologies to improve quality support services healthcare. Some constraints, such as space, infrastructure, and environmental conditions, present challenges with assistive devices for humans. This paper proposed a wearable-based real-time human activity recognition system monitor daily activities. The classification was done directly on device, results could be checked over internet. accelerometer data...

The rapid urbanization process in recent times has led to the deterioration of structures buildings, posing a risk explosion, collapse, and rescue challenges for firefighters. To minimize risk, system capable locating search personnel is essential. This research proposes use inertial sensors decision trees algorithm estimate number steps taken by moving individual. Step-counting popular method determine position object 3D, but its implementation on microcontrollers faces performance memory...

Wireless sensor network (WSN) is an effective facility to predict and monitor the landslide in real time. One of problems WSN for monitoring power consumption. There a lot work have tried overcome this limitation. This paper focuses on new development compressed sensing (CS) based algorithm which can be applied monitoring. exploits natural properties data acquired time domain. The transmitted random set Fourier coefficients corresponding domain data. verified by both simulated experimental...

In recent years, the field of Human Activity Recognition (HAR) has emerged as a prominent area research. A plethora methodologies have been documented in literature, all with objective identifying and analyzing human activities. Among these, use body-worn accelerometer to collect motion data subsequent application supervised machine learning approach represents highly promising solution, offering numerous benefits. These include affordability, comfort, ease use, high accuracy recognizing...

<p>Climate change has caused an increasing number of landslides, especially in the mountainous provinces Vietnam, resulting destruction vital transport and other infrastructure. Current monitoring forecasting systems meteorology department cannot deliver accurate reliable forecasts for weather events issue timely warnings. This paper describes development a simple, low cost, efficient system warning landslide real-time. The authors focus on use wireless related technologies...

Epilepsy is a neural disorder in which the electrical discharge brain abnormal, synchronized and excessive. Scalp Electroencephalogram (EEG) often used diagnosis treatment of epilepsy by examining epileptic seizures spikes. By modeling signal acquired at each electrode EEG measurement system as linear combination source signals generated brain, we can apply Blind Source Separation (BSS) techniques to separate activity from other activities. In this paper, concentrate on applying Second-Order...

Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify cows, data from 3-axis acceleration sensor mounted on their neck is often used. Data acquisition preprocessing required in this device. We acquire cows’neck send microcontrollter. At microcontroller, a proposed decision tree applied real-time manner four important activities (standing, lying, feeding, walking). Finally, results sent server...

<span>In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored real-time manner. It enables automatic actions help driver safer. Also, these data, our software can detect crash situation. The will then automatically send messages user's location their emergency departments for timely...

<p><span>Vietnam is a country heavily influenced by climate change. The effect of change leads to series dangerous phenomena, such as landslides. Landslides occur not only in the mountainous province, but also Delta provinces, where hundreds landslides are reported annually North-Western provinces Vietnam. These events have catastrophic impact community well economy. In areas, conditions for met frequently, especially after heavy rains or geological activity, causing harm damaging...

<p><span>Vietnam is a country heavily influenced by climate change. The effect of change leads to series dangerous phenomena, such as landslides. Landslides occur not only in the mountainous province, but also Delta provinces, where hundreds landslides are reported annually North-Western provinces Vietnam. These events have catastrophic impact community well economy. In areas, conditions for met frequently, especially after heavy rains or geological activity, causing harm damaging...

Using mobile phones during traffic progress is one of the main causes accidents because drivers do not focus on driving, they try to listen phone calls or text some messages... Most research work has focused car driving.However, using motorbike very popular in developing countries such as Vietnam, India, etc. Up now, there are just a few works, which driving with obvious limitations.Thus, this research, we proposed complete solution for bikers who own smartphone.Our exploits information from...

Air pollution has been a concern in recent years.Measuring the extent of is important to know about air quality.Previous research used machine learning algorithms forecast Quality Index (AQI) specific locations.Even though that achieved quite reliable results, they still have some drawbacks need be taken into consideration, such as low accuracy or lack data analysis.On public dataset, we Random Forest, XGBoost, and Neural Network build model for purpose making predictions quality index...