Premature birth is one of the major problems in obstetrics. Early detection of preterm birth is an important key to prevent and reduce its consequences. As a result, it has been a subject of interest for many research...
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ISBN:
(纸本)9781665435017
Premature birth is one of the major problems in obstetrics. Early detection of preterm birth is an important key to prevent and reduce its consequences. As a result, it has been a subject of interest for many researchers. The current work is placed as part of the development of a non-invasive clinical aid tool. We implement a portable and easy-to-use device for pregnant women be able to automatically detect signs associated with uterine contractions. The device is able to detect EHG segments associated with uterine contractions during pregnancy. EHG signals are acquired, in real time, from 12 bipolar electrodes placed on the abdomen of pregnant women. The data are then analyzed and processed with a powerful processor. The technique used for detection is based on the Dynamic Cumulative Sum (DCS) method which has already demonstrated its strong potential in event detection when applied to non-stationary signals. The DCS method is followed by a data fusion method to merge the segments of all bipolar channels. A technique based on Fisher's test has been implemented and applied between two consecutive segments in order to reduce the over-segmentation problem. This strategy was proposed in previous studies and was proved to be accurate and efficient. The results show that a prototype based on the Raspberry Pi board and the arduino mega board is very promising for setting up a final prototype.
People with visual disabilities, who have limited vision, will experience many obstacles in carrying out activities and social interaction. Equipment, in general, is not still user friendly for blind people. The purpo...
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ISBN:
(纸本)9781728174341
People with visual disabilities, who have limited vision, will experience many obstacles in carrying out activities and social interaction. Equipment, in general, is not still user friendly for blind people. The purpose of this study was to create an automatic dispenser design that provides convenience and safety for visually impaired people when taking hot water to the dispenser. This study uses arduino mega microcontroller as the main control, proximity sensor to detect the presence of glass, and the HC-SR04 ultrasonic sensor as a determinant of high water levels and an SD Card Module to play sound. This research uses the Research and Development (RnD) method. The results of this study are an automatic dispenser that can fill glasses automatically with a glass height of 8 cm, 10 cm, and 12 cm. This dispenser can automatically tell blind people when the glass is full and turn off the tap when the water reaches 1-2 cm from the surface of the glass so that the water in the glass does not spill. Based on the test results, this automatic dispenser can detect glass of any color and make it from melamine, plastic ceramic, iron. However, this automatic dispenser cannot detect glass made of glass and transparent colored glass. When going to use hot water, blind people can choose a temperature with a setpoint of 50 degrees C, 70 degrees C, 80 degrees C. The results of testing the tool using hot water show that the temperature of the water in the glass has a difference of 1 degrees C - 3 degrees C with a setpoint.
The weather station is a major instrument installed at Solar PV Power Plant. The real-time performance of Solar PV power plants can be easily monitored with the help of the weather station. We can use weather data to ...
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ISBN:
(纸本)9781728158754
The weather station is a major instrument installed at Solar PV Power Plant. The real-time performance of Solar PV power plants can be easily monitored with the help of the weather station. We can use weather data to get insights about plant operations and possible ways to increase plant output. Weather station using arduino mega which measured weather parameters like Ambient air temperature, Relative humidity, Air pressure, wind speed, wind direction, Solar radiation, and rain. This weather station specifically developed for Solar PV power plants where measurement of solar radiation, ambient air temperature, and other weather parameters like air pressure, wind speed, wind direction, and rain. The weather station has an onboard display facility to check all parameters and the same weather data are transmitted to the database server via a Wi-Fi (internet) network also stored the data in a memory card. The web application has been developed which shows real-time data at a remote location. So, users can use the same weather data to compare the actual and expected output with the help of this comparison users can take preventive action to get the expected power generation. This weather station provides both solutions like real-time data logging and sharing the measured weather parameter the same as a commercial weather station. The developed weather station is easy to use, lightweight, and low cost as compared the all-weather station available in the market.
This research paper aims at enhanced sanitation and energy efficiency in public toilets and the safety of users. Conventional toilet facilities lack the necessary infrastructure to ensure cleanliness and operational e...
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The development of remote lab has grown during the last decade. However, almost all current laboratories use proprietary software (a Labview like software) and expensive hardware (server) to implement them. This paper...
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The development of remote lab has grown during the last decade. However, almost all current laboratories use proprietary software (a Labview like software) and expensive hardware (server) to implement them. This paper presents the development of a low-cost alternative, flexible, and reconfigurable remote lab, based on an architecture built around an arduino mega. Low-bandwidth connections requirement was carried out by the use of HTML code for the development of the required graphical user interface. The usability and effectiveness of the proposed solutions were evaluated by considering a case study of two groups of students that carried out the same lab work: The first one remotely and the second one in a hands-on lab. This test showed that the remote laboratory was well received by students: Remote students group realize their task in a shorter time and have slightly better outcomes than students group in a hands-on laboratory. (C) 2017 Wiley Periodicals, Inc.
Air pollution is a significant environmental risk to health;reducing pollution levels could help minimize related diseases, such as cancer, asthma, and stroke. Gas sensors, such as the MQ family, can be used to establ...
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Air pollution is a significant environmental risk to health;reducing pollution levels could help minimize related diseases, such as cancer, asthma, and stroke. Gas sensors, such as the MQ family, can be used to establish security measures for detecting environmental problems and improving air quality. The aim of this article is to develop a low-cost system using MQ sensors and an arduino mega to monitor air quality in different indoor and outdoor scenarios and identify the origin of the data using different approaches such as discriminant analysis (DA) and probabilistic neural network (PNN). The system is composed of an arduino mega and four MQ gas sensors. The response of four different MQ sensors (MQ-2, MQ-3, MQ-7, and MQ-135) to different indoor and outdoor environments is analyzed. The results indicate that the living room and kitchen have a stable response for all sensors, while the bar and the terrace have higher variability in their response. This article presents the results of using DA and PNN to identify indoor and outdoor areas using different combinations of MQ sensors, achieving up to 99.47% correctly classified cases with all sensors using PNN. This article's results show that their proposed system outperforms existing applications in correctly classifying cases, with well-classified cases with two sensors and the PNN reaching 98.22%.
In past many researchers have designed the multiple robots which served as per the need of humans but unfortunately they are much expensive. It has been observed that man power is needed in the shopping marts especial...
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In past many researchers have designed the multiple robots which served as per the need of humans but unfortunately they are much expensive. It has been observed that man power is needed in the shopping marts especially on highway based stores and marts. Where it is found to be inconvenient for persons or owners to perform the duties all the time. This paper is centered around one of the best solution in this regards that is the cheapest man-machine association by discourse where the robot can perceive the discourse and it can react to the individual in that instant. In this paper the prototype of a speech recognition based robotic mart has been designed and analyzed which is based on speech recognition system. To make it semi-autonomous it compares the data in database unit, if the data matches with any command within the database, it instructs to main system to perform that function accordingly. The proposed robotic mart is supposed to be an economical and advanced robotic system that consists of cheapest arduino microcontroller as a main control unit and a smartphone based application software. Its GUI framework will help the user for addressing the gadget;it will carry the accommodation to the user discussing voice worked gadget controlling hence, decreases the human endeavors. User doesn't need to get up from his place to control the device and user can talk in mobile or some other gadgets utilizing the MIT application stage and afterward the directions are sent to the control unit through remote correspondence procedure by means of Bluetooth.
Recent years, unmanned aerial vehicles (UAVs) have been used to perform various tasks such as surveillance, monitoring, rescue, photography, and security. Quadcopter configuration of UAV is most common due to its simp...
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Recent years, unmanned aerial vehicles (UAVs) have been used to perform various tasks such as surveillance, monitoring, rescue, photography, and security. Quadcopter configuration of UAV is most common due to its simplicity, stability, and versatile controllability. Quadcopter landing is most crucial part of the overall operating process. It needs a lot of practice and effort for a safe landing. Therefore, a fuzzy logic-based safe landing system is proposed in this paper. This paper includes a landing system based on laser rangefinder, arduino mega MCU, and Pixhawk flight controller. The lookup table technique is used to implement fuzzy logic inside arduino mega. This technique takes very small execution time for data processing in fuzzy logic, which is essential for high-speed data processing and updating. Autonomous landing process can be triggered and override at any time using remote controller. Furthermore, various tests are performed on a quadcopter to verify the feasibility of proposed algorithm.
Sealed-type lead-acid batteries are most common energy storage devices used with renewable systems. Battery state of charge (SOC) and state of health (SOH) estimation is a crucial part which requires maximum possible ...
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Sealed-type lead-acid batteries are most common energy storage devices used with renewable systems. Battery state of charge (SOC) and state of health (SOH) estimation is a crucial part which requires maximum possible accuracy to ensure a secure and long-lasting battery energy storage system by cutting off charging and discharging processes at right time (100-40%). In this research work, a neural network (NN)-based simplified SOC and SOH estimation technique is proposed. Proposed technique provides an accurate online SOC and SOH estimation without battery internal parameter information. This technique only requires real-time battery voltage and current information and very simple mathematical calculations to estimate SOC and SOH, which makes it easy to implement at any low-cost micro-controller unit (MCU). Training data for NN have been acquired by using arduino mega MCU, voltage sensor circuit, and current sensor. The NN program is designed and trained by backpropagation technique in arduino mega. The calculated weights are further used for estimation. Terminal voltage and open-circuit voltage are measured for different charging currents and discharging currents . Later on, these data are used for training the NN. Experimental results are provided to prove the preeminence of proposed SOC and SOH estimation technique.
For the user's convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. Whe...
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ISBN:
(纸本)9781665485296
For the user's convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user's body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual's activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03 degrees C. For the system's accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system's effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. It was found that the automatic controller is faster to reach thermal comfort for about 37-37.2 minutes while 48.2-49 minutes for the traditional setup, having an effectiveness rate of 93.33%.
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