scholarly journals A Multi-Sensor Module of Snake Robot for Searching Survivors in Narrow Space

2021 ◽  
Vol 16 (4) ◽  
pp. 291-298
Author(s):  
Sungjae Kim ◽  
Dong-Gwan Shin ◽  
Juhyun Pyo ◽  
Juseong Shin ◽  
Maolin Jin ◽  
...  
Keyword(s):  
Snake Robot ◽  
Sensor Module ◽  
Narrow Space

Obstacle avoidance for a non-holonomic snake robot in a narrow space

2014 ◽  
Vol 4 (2) ◽  
pp. 73
Author(s):  
Yasunobu Hitaka ◽  
Masahiro Yokomichi ◽  
Hiroshi Hamamatsu
Keyword(s):  
Obstacle Avoidance ◽  
Snake Robot ◽  
Narrow Space

scholarly journals Sensing pipes of a nuclear power mechanism using low-cost snake robot

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878128 ◽  
Author(s):  
Chiung-Wei Huang ◽  
Chung-Hao Huang ◽  
Yu-Hsiang Hung ◽  
Cheng-Yuan Chang
Keyword(s):  
Nuclear Power ◽  
Large Scale ◽  
Low Cost ◽  
High Radiation ◽  
Nuclear Power Facility ◽  
Snake Robot ◽  
Pipe System ◽  
Power Facility ◽  
Narrow Space ◽  
Snake Robots

Snake robots have come to represent a new subfield of bionic robot research in recent years. A snake robot comprises many modules and performs various movements in arranged connections. The structure of a snake body enables it to move smoothly in narrow spaces or pipes with high stability and reliability. This article studies the application of a snake robot on a large-scale nuclear power facility to sense in pipe components. Therefore, a snake robot must move in pipes in which high radiation is present to explore the surrounding environment and take samples. A simple but effective method of locomotion is developed and executed to confirm feasibility of motion, especially in narrow space. A sampling mechanism with a storage box is designed at the tail of the snake to take and keep the samples well at designated locations. We built a pipe system which has two right-angled turns to simulate the pipes of a large-scale nuclear power facility. A user interface helps operators to manipulate the snake robot.

Development of Wafer Level Chip Size Packaging Process and its Application to the CMOS Image Sensor Module for Medical Device

2017 ◽  
Vol 137 (2) ◽  
pp. 48-58
Author(s):  
Noriyuki Fujimori ◽  
Takatoshi Igarashi ◽  
Takahiro Shimohata ◽  
Takuro Suyama ◽  
Kazuhiro Yoshida ◽  
...  
Keyword(s):  
Medical Device ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Wafer Level ◽  
Packaging Process ◽  
Sensor Module ◽  
Chip Size

scholarly journals Estimating Physical Activity Energy Expenditure Using an Ensemble Model-Based Patch-Type Sensor Module

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 861
Author(s):  
Kyeung Ho Kang ◽  
Mingu Kang ◽  
Siho Shin ◽  
Jaehyo Jung ◽  
Meina Li
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Mean Squared Error ◽  
Absolute Error ◽  
Ensemble Model ◽  
Direct Calorimetry ◽  
Patch Type ◽  
Mortality And Morbidity ◽  
Squared Error ◽  
Sensor Module

Chronic diseases, such as coronary artery disease and diabetes, are caused by inadequate physical activity and are the leading cause of increasing mortality and morbidity rates. Direct calorimetry by calorie production and indirect calorimetry by energy expenditure (EE) has been regarded as the best method for estimating the physical activity and EE. However, this method is inconvenient, owing to the use of an oxygen respiration measurement mask. In this study, we propose a model that estimates physical activity EE using an ensemble model that combines artificial neural networks and genetic algorithms using the data acquired from patch-type sensors. The proposed ensemble model achieved an accuracy of more than 92% (Root Mean Squared Error (RMSE) = 0.1893, R2 = 0.91, Mean Squared Error (MSE) = 0.014213, Mean Absolute Error (MAE) = 0.14020) by testing various structures through repeated experiments.

scholarly journals A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1936
Author(s):  
Tsun-Kuang Chi ◽  
Hsiao-Chi Chen ◽  
Shih-Lun Chen ◽  
Patricia Angela R. Abu
Keyword(s):  
Power Consumption ◽  
Water Level ◽  
Smart City ◽  
High Accuracy ◽  
Control Device ◽  
Power Efficient ◽  
Sensor Module ◽  
Monitoring Applications ◽  
Level Monitoring ◽  
Water Level Monitoring

In this paper, a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance, the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device, an ultrasonic sensor module, a LORA transmission module, and a stepper motor. According to the experimental results, the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications.

scholarly journals Development of a New Sensor Module for an Enhanced Fuel Flexible Operation of Biomass Boilers

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 661
Author(s):  
Martin Meiller ◽  
Jürgen Oischinger ◽  
Robert Daschner ◽  
Andreas Hornung
Keyword(s):  
Particle Size ◽  
Bulk Material ◽  
Detection System ◽  
Wood Chips ◽  
Convective Drying ◽  
Characteristic Functions ◽  
Biomass Combustion ◽  
Fuel Flexibility ◽  
Sensor Module ◽  
Over Time

The heterogeneity of biogenic fuels, and especially biogenic residues with regard to water and ash content, particle size and particle size distribution is challenging for biomass combustion, and limits fuel flexibility. Online fuel characterization as a part of process control could help to optimize combustion processes, increase fuel flexibility and reduce emissions. In this research article, a concept for a new sensor module is presented and first tests are displayed to show its feasibility. The concept is based on the principle of hot air convective drying. The idea is to pass warm air with 90 °C through a bulk of fuel like wood chips and measure different characteristics such as moisture, temperatures and pressure drop over the bulk material as a function over time. These functions are the basis to draw conclusions and estimate relevant fuel properties. To achieve this goal, a test rig with a volume of 0.038 m3 was set up in the laboratory and a series of tests was performed with different fuels (wood chips, saw dust, wood pellets, residues from forestry, corn cobs and biochar). Further tests were carried out with conditioned fuels with defined water and fines contents. The experiments show that characteristic functions arise over time. The central task for the future will be to assign these functions to specific fuel characteristics. Based on the data, the concept for a software for an automated, data-based fuel detection system was designed.

Motion Planning for a Snake Robot using Double Deep Q-Learning

2021 ◽  
Author(s):  
Semab Neimat Khan ◽  
Tallat Mahmood ◽  
Syed Izzat Ullah ◽  
Khawar Ali ◽  
Anayat Ullah
Keyword(s):  
Motion Planning ◽  
Snake Robot ◽  
Q Learning
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