The objective of this paper is to identify the stresses placed on the musculoskeletal system when small dogs walk on floors with low friction coefficients. In many households, and small dogs in particular are often ke...
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ISBN:
(数字)9798331531614
ISBN:
(纸本)9798331531621
The objective of this paper is to identify the stresses placed on the musculoskeletal system when small dogs walk on floors with low friction coefficients. In many households, and small dogs in particular are often kept indoors. According to veterinary experience, it is known that small dogs kept indoors that walk with their lower limbs slipping cause a great deal of stress on the musculoskeletal system, and that the incidence of joint disease in the lower limbs of such small dogs is high. In this study, we measured the body movements of small dogs walking on slippery floors using a three-dimensional motion capture system and force plate system. Furthermore, by inputting these measurements into the musculoskeletal simulation model we have developed to simulate the musculoskeletal system of dogs, we derived the load on the musculoskeletal system of small dogs on slippery and non-slippery floors. As a result, it was identified that walking on a slippery floor causes a strong load on the lower limb muscles of small dogs.
The process of loading and unloading containers at the port is very important to be automated in order to increase productivity, revenues, efficiency and safety in the logistics transportation process especially in a ...
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This paper proposes a lower limb rehabilitation robot for normal walking in post-stroke hemiplegic patients. Ergometers are commonly used for lower limb rehabilitation, but their use has depended on the experience of ...
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ISBN:
(数字)9798350362916
ISBN:
(纸本)9798350362923
This paper proposes a lower limb rehabilitation robot for normal walking in post-stroke hemiplegic patients. Ergometers are commonly used for lower limb rehabilitation, but their use has depended on the experience of physiotherapists. Therefore, this paper proposes a new rehabilitation robot based on an ergometer that leads the patient to voluntary muscle activity and learns how to use the muscles required for normal walking. The paper first compares how pedestrians walk between a normal person and a hemiplegic patient using muscle synergy analysis to identify the lower limb usage required for normal gait. The paper then proposes a method to approach the use of the lower limb required for normal gait by changing the load depending on the position of the pedals when a hemiplegic patient uses the ergometer. This will enable stroke hemiplegic patients to train for normal gait by pedaling the ergometer. The above proposed method has been implemented in our prototype robot and the effectiveness of our proposed method has been confirmed in experiments with post-stroke hemiplegic patients as subjects.
Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, espe...
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The application of single atom catalysts (SAC) has been widely studied for various chemical reactions including the direct methane-to-methanol (DMTM) conversion. Here, by means of density functional theory (DFT) calcu...
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The increasing vehicle volume every year affects the prediction of the traffic system. The purpose of predicting traffic flow is to estimate the lost data caused by sensor malfunctions due to connection disruptions or...
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ISBN:
(纸本)9781665476881
The increasing vehicle volume every year affects the prediction of the traffic system. The purpose of predicting traffic flow is to estimate the lost data caused by sensor malfunctions due to connection disruptions or ages. In estimating traffic flow, obtaining and explaining the historical data from the nearest segment sensor is necessary. The graph model can describe the spatial relationship between segments by connecting nodes with edges. Graph Neural Network (GNN) has been used as a learning method to predict the traffic flow in the segment sensor. GNN gets input in the form of spatial data built through a graph model, and the features are traffic density, average vehicle speed, and delay time on the road network. This paper shows that GNN's capability performs better in extracting spatial features and predicting the traffic flow by aggregating the features through connectivity nodes and edges.
The Automatic Weather Station (AWS) is an automated instrument designed to gather meteorological parameters within a given environment. The dataset obtained from AWS often contains missing values due to various factor...
The Automatic Weather Station (AWS) is an automated instrument designed to gather meteorological parameters within a given environment. The dataset obtained from AWS often contains missing values due to various factors such as sensor malfunction or transmission issues. Nonetheless, the data produced by AWS plays a vital role in weather analysis and prediction. In this study, the authors employ the Generative Adversarial Imputation Network algorithm to generate synthetic values for the missing data in the AWS dataset. The dataset is divided into four schemes, each exhibiting different distributions of missing values at 5, 25, 50, and 80 gaps, respectively. The synthetic values generated by the algorithm are subsequently compared to the ground truth values using the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) metrics. The findings demonstrate that for the air pressure parameter, both the 5 gaps and 25 gaps models exhibit RMSE and MAE values below 2 hPa. Similarly, the models for the air temperature parameter demonstrate RMSE and MAE values below 2°C. As for the relative humidity parameter, the models achieve RMSE and MAE values below 15%. Therefore, both the 5 gaps and 25 gaps models satisfy the error threshold established by the Badan Meteorologi Klimatologi, dan Geofisika for AWS data quality control.
Electrocoagulation is a method of wastewater treatment that applies an electrical current into the liquid to coagulate the suspended particles. This study assessed two control strategies for electrocoagulation systems...
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The increase in goods traffic between countries and islands requires the availability of port automation so that the distribution of goods is faster and the quality is guaranteed. One of the control problems for autom...
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ISBN:
(纸本)9781665476881
The increase in goods traffic between countries and islands requires the availability of port automation so that the distribution of goods is faster and the quality is guaranteed. One of the control problems for automating the port is controlling the position and sway angle of the container on the Rubber Tyred Gantry Crane (RTGC). However, the RTGC system's model is often uncertain because of the uncertainty in the mass of the payload and the length of the hauling rope when operating. This paper proposes a robust PID controller based on $H$ ∞ integral backstepping to overcome this problem. Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithms (GA) are used to optimize the parameter of $H$ ∞ integral backstepping so that the system response follows the desired trajectory. The results show that the control system designed can provide a satisfactory solution to variations in the mass and length of the rope. PSO and SA give better optimal and robust performance than GA.
The increase in free trade will also amplify the exchange of goods between countries and islands, especially in the seaports. The manual operation of the gantry-crane at the seaports has a risk due to human negligence...
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