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.
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.
To achieve secure quantum key distribution, all imperfections in the source unit must be incorporated in a security proof and measured in the lab. Here we perform a proof-of-principle demonstration of the experimental...
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The advent of ferromagnetism in two-dimensional (2D) van der Waals (vdW) magnets has stimulated high interest in exploring topological magnetic textures, such as skyrmions for use in future skyrmion-based spintronic d...
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Breeding using the double haploid approach has been used in accelerating the rice breeding process. However, the main obstacle in the application of this technique in rice is the low level of callus formation and thei...
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Door plays an important role in home security. To secure the house, the occupants of the house will always have the door locked. However, sometimes the house occupants forget to lock the door due to hurry when leaving...
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Door plays an important role in home security. To secure the house, the occupants of the house will always have the door locked. However, sometimes the house occupants forget to lock the door due to hurry when leaving the house, or they may doubt whether they have locked the door or not. We propose an application called Door Security System which is based on Android using Internet of Things (IoT) technology to monitor the status of the door, controlling the door and increasing security in a house. MQTT cloud is utilized as the communication protocol between smartphone and door lock system. PIR sensor is implemented in the door lock to detect the movement near the door, while touch sensor is installed on the door handle to recognize the human hand. Should the door is opened by force, the alarm will ring and send notification to alert the house occupant on the existence of intruder in the house. The evaluation results show that motion detection sensor can detect movement accurately up to 1,6 meters ahead, and messages published between smartphone and door lock are encrypted properly so messages are safely sent.
Genetic programming (GP) has shown promising results in interpretable feature extraction, but few works considered both classification accuracy and data visualization as objectives. Evaluating the extracted features b...
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ISBN:
(数字)9781728162157
ISBN:
(纸本)9781728162164
Genetic programming (GP) has shown promising results in interpretable feature extraction, but few works considered both classification accuracy and data visualization as objectives. Evaluating the extracted features based on the combination of accuracy measures and visualization measures can help to achieve the two objectives simultaneously. However, the exploitation of improper visualization measures and combination methods will decrease the classification accuracy. In this paper, a novel feature extraction method based on GP and non-overlap degree is proposed to extract interpretable features for high accuracy and visualization. And a novel function that maximizes the product of the accuracy of a linear classifier and the non-overlap degree is proposed to evaluate the extracted features. The proposed method, named GP-ANO, is compared with other methods on five medical datasets by six common machine learning methods. The experimental results demonstrate that the GP-ANO method outperforms other compared methods in terms of both classification accuracy and data visualization.
Mass gathering has been identified as one of the causes of fast-spreading of COVID-19. Physical distancing practices and large gathering control in Malaysia and all over the world are likely to be continued until the ...
Mass gathering has been identified as one of the causes of fast-spreading of COVID-19. Physical distancing practices and large gathering control in Malaysia and all over the world are likely to be continued until the end of the year, even after Movement Control Order (MCO) has been lifted. This has imposed event organizers to redesign their events into virtual events where attendees are to stay at their houses and meet with the host and other attendees virtually. However, certain types of educational events or activities such as practical and hands-on classes are not to be virtually conducted as it by nature carries a competency for the students. This paper evaluates the standard classroom layout by comparing with optimal layout based on circle packing problem (CPP) solution. CPP solution is used to optimize the physical distancing-constrained for the student seat layout as in it happens in real life. The findings can provide an effective exit strategy for Malaysia to deal with this COVID-19 pandemic or other pandemics in the future.
We propose a simple and generic construction of the variational tensor network operators to study the quantum spin systems by the synergy of ideas from the imaginary-time evolution and variational optimization of tria...
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