Industrial development promotes the production of various electronics for contributing to our life. On the other hand, various electronics occur the compatibility trouble about the communication standard. Especially, ...
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Background: The association of breaks in sedentary time with outcomes of physical function can vary according to the time of day. We examined the association of the diurnal pattern of breaks in sedentary time with phy...
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Background: The association of breaks in sedentary time with outcomes of physical function can vary according to the time of day. We examined the association of the diurnal pattern of breaks in sedentary time with physical function outcomes in older adults. Methods: A cross-sectional analysis was conducted among 115 older adults (≥60 years). The overall and time-specific breaks (morning: 06:00–12:00;afternoon: 12:00–18:00;evening: 18:00–24:00) in sedentary time were assessed using a triaxial accelerometer (Actigraph GT3X+). A break in sedentary time was defined as at least 1 min where the accelerometer registered ≥100 cpm following a sedentary period. Five physical function outcomes were assessed: handgrip strength (dynamometer), balance ability (single leg stance), gait speed (11-m walking), basic functional mobility (time up and go), and lower-limb strength (five times sit-to-stand). Generalized linear models were used to examine the associations of the overall and time-specific breaks in sedentary time with the physical function outcomes. Results: Participants showed an average of 69.4 breaks in sedentary time during the day. Less frequent breaks in the evening (19.3) were found than that in the morning (24.3) and the afternoon (25.3) (p < 0.05). Breaks in sedentary time during the day were associated with less time on gait speed in older adults (exp (β) = 0.92, 95% confidence interval [CI] 0.86–0.98;p < 0.01). Time-specific analysis showed that breaks in sedentary time were associated with less time on gait speed (exp (β) = 0.94, 95% CI 0.91–0.97;p < 0.01), basic functional mobility (exp (β) = 0.93, 95% CI 0.89–0.97;p < 0.01), and lower-limb strength (exp (β) = 0.92, 95% CI 0.87–0.97;p < 0.01) in the evening only. Conclusion: A break in sedentary time, particularly during the evening, was associated with better lower extremity strength in older adults. Further strategies to interrupt sedentary time with frequent breaks, with an emphasis on evening hours, can be
Convolutional neural networks applied to medical image segmentation with low-compute power computers are investigated. A convolutional neural network architecture is implemented by TensorFlow for a synthetic image and...
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Existing deep Thermal InfraRed (TIR) trackers only use semantic features to describe the TIR object, which lack the sufficient discriminative capacity for handling distractors. This becomes worse when the feature extr...
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KEHATI AQUA Park is one of the green areas managed by PT. Tirta Investama Klaten (Klaten Factory). This area is located in Wangen and Ponggok Villages, Polanharjo District, Klaten Regency, Central Java, and is an inte...
KEHATI AQUA Park is one of the green areas managed by PT. Tirta Investama Klaten (Klaten Factory). This area is located in Wangen and Ponggok Villages, Polanharjo District, Klaten Regency, Central Java, and is an integral part of the company’s seriousness in carbon reduction movement. When maintenance of the area is important for the sustainability of the park, there is however no data on the trees inventory in the area. Therefore, this study aims to invent the trees at KEHATI AQUA Park and evaluate the potential of the area to become a carbon sink using *** application. This study was conducted at the KEHATI AQUA Park. The census method was performed to collect tree data, and the result was recorded in *** application. The carbon stock calculation was estimated using the application according to the tree data submitted in the application. The study included a total of 1048 plantation spots in 51 tree species. From those numbers, about 738 trees existed, and the remaining spots were blank spaces. Based on the condition of the trees, those were 660 good trees, 17 dry trees, and 61 under pest infection. The carbon stock estimation at KEHATI AQUA Park Klaten in the next five years (2026) is around 40 tons of carbon. Therefore, it can be concluded that the park is valuable as an area to preserve biodiversity and as a carbon sink.
In general, performing a nonlinearity time series analysis in the modeling of data can reach a robust and increase the quality of the results. Wavelet methods have successfully been applied in a great variety of appli...
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This paper emphasizes the importance to acquaint with High Performance Computing or Parallel Computing as the key technology necessary for Industry 4.0. It highlights the applications of Artificial Intelligence and Bi...
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ISBN:
(数字)9781728111100
ISBN:
(纸本)9781728111117
This paper emphasizes the importance to acquaint with High Performance Computing or Parallel Computing as the key technology necessary for Industry 4.0. It highlights the applications of Artificial Intelligence and Big Data Analytics in almost all sectors of human's endeavor. A number of application examples of I4.0 in Internet of Things, Artificial Intelligence Technologies, Simulation and Modeling, Healthcare, Autonomous Vehicle, Collaborative Robot and Additive Manufacturing are illustrated. The risk of abuse of this technology was also highlighted.
The proposed idea to improve the usage of an autonomous vehicle to increase safe driving based on the DARPA project, which already has shown the bright future of the autonomous vehicle. This paper proposes a new idea ...
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The proposed idea to improve the usage of an autonomous vehicle to increase safe driving based on the DARPA project, which already has shown the bright future of the autonomous vehicle. This paper proposes a new idea regarding the sensors and the autonomous vehicle framework, such as the usage of some algorithms and new UI along with the data logger. Moreover, the use of a LIDAR sensor is extended, along with a stereo camera and also ultrasonic sensor to make it more precise. Then, a calibration system is made for the stereo camera, which will take help from the ultrasonic sensor. Not the only ultrasonic, camera, and LIDAR, and IMU and GPS sensor are used to know the angle of x, y, and z of our vehicle. Both IMU and GPS are helping in the perception and mostly in the RNDF Localization that will be used in the pathfinding, planning, and control. The global Dynamic-Window approach is applied for the path selection algorithm and combining it with the Autonomous System Approach. The speed selection algorithm will decide on the speed limit and the camera. Not only that but the implement the Inter-Vehicle Algorithm is implemented, which makes the vehicles can exchange information with the other vehicles in the radius of the vehicle. Which all of this together can make a safer driving environment, not only for cars but another vehicle as well. Hope this framework can be used for any other vehicle project and becoming the base of all autonomous vehicle.
Impact of flood depth on traffic volume in two different zones of the Bangkok road network was investigated using traffic data obtained from probe vehicle trajectories.A Macroscopic Fundamental Diagram(MFD)was utilize...
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Impact of flood depth on traffic volume in two different zones of the Bangkok road network was investigated using traffic data obtained from probe vehicle trajectories.A Macroscopic Fundamental Diagram(MFD)was utilized to compare traffic flow rates across two road network zones in the city for a variety of flood depths,namely 0-5 cm,5-10 cm,10-15 cm,15-30 cm,and more than 30 *** of empirical analysis over an observation period of one year as 2019 showed that flood depths had a strong correlation with the MFD parameters of free-flow speed,maximum flow,and traffic jam *** particular,road floods greatly reduced average maximum flow across the inner city road network in *** floods had a significant impact on traffic characteristics of urban road networks.
Malawi faces significant challenges in transitioning to renewable energy due to a low electrification rate, rapid urbanization, and population growth, which drive increased electricity demand, particularly in urban tr...
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Malawi faces significant challenges in transitioning to renewable energy due to a low electrification rate, rapid urbanization, and population growth, which drive increased electricity demand, particularly in urban transportation and residential sectors. This study uses the enhanced complete ensemble empirical mode decomposition with adaptive noise (ECEEMDAN) and bidirectional gated recurrent unit (BiGRU) models to forecast electricity demand in Malawi under three scenarios: business as usual (BAU), low demand, and high demand. These scenarios consider varying industrialization rates and policy effectiveness. By 2060, electricity demand is expected to range from 8219.47 MW in the low demand scenario to 9492.14 MW in the high demand scenario, with the BAU scenario estimating 8544.64 MW. To achieve full electrification by 2060, the BAU scenario predicts an annual increase of about 201.7 MW, while the low and high demand scenarios suggest yearly increases of 193.31 MW and 224.69 MW, respectively. These findings underscore the urgent need for strategic energy planning, infrastructure enhancement, and sustainable economic growth. The study provides valuable insights to guide policymakers and stakeholders in supporting Malawi's Agenda 2063 through effective energy development and planning.
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