A Windows 10 machine was used with the following hardware: Device name: ASUS FX503VM, Processor: Intel(R) Core(TM) i7–7700HQ CPU @ 2.80 GHz, Nvidia GeForce GTX 1060 3 GB GPU, CUDA Cores: 1152, Base Clock: 1506 MHz, Boost Clock: 1708 MHz, Texture Units: 72, Memory Clock: 8 GHz, Memory Bandwidth: 192 GB/s, ROPs: 48.L2, Cache Size: 1536 KB, Installed RAM: 32.0 GB (2 × 16 GB) DD–2400 MHz, and System type: 64-bit operating system, x64-based processor.
I7 7700hq
Manufactured by NVIDIA
The Intel Core i7-7700HQ is a high-performance mobile processor designed for laptops and notebooks. It features four cores, eight threads, and a base clock speed of 2.8 GHz. The processor supports Hyper-Threading technology, which allows it to handle multiple tasks simultaneously.
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Lab products found in correlation
4 protocols using i7 7700hq
1
Hardware Specifications for AI Research
2
Diabetic Foot Thermograms Network (DFTNet)
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After not being able to obtain satisfactory results with SVM, MLP, AlexNet, and GoogLeNet, especially with the five levels of classification, we propose a new type of DL structure. The name of this network is Diabetic Foot Thermograms Network (DFTNet). With this proposal, we considerably reduce the number of layers, compared with the 22 layers of GoogLeNet, which also result in a decreasing training time.
The parameters used from training the DFTNet are a maximum of 100 epochs, a minibatch size of 64, and the Adam solver with a learning rate of 0.001. The configuration of the computer is: CPU Intel i7–7700 HQ @2.8 GHz, GPU NVIDIA GeForce GTX 1060, RAM 16 GB, Software Matlab. The structure of DFTNet is shown inTable 1 .
The parameters used from training the DFTNet are a maximum of 100 epochs, a minibatch size of 64, and the Adam solver with a learning rate of 0.001. The configuration of the computer is: CPU Intel i7–7700 HQ @2.8 GHz, GPU NVIDIA GeForce GTX 1060, RAM 16 GB, Software Matlab. The structure of DFTNet is shown in
3
Virtual Reality Hand Tracking Experiment
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The position and movement of participants’ hands were tracked using a motion tracker (Leap Motion Controller by Ultraleap, ltd; Hand tracking running at 150 fps). Participants saw virtual hands from first person perspective through a head mounted display (HMD: Oculus Rift CV1 which displayed a stereoscopic image with a resolution of 2160×1200), and no other body parts were presented. A virtual world was developed using Unity3D and run on a Windows PC (Level Infinity by iiyama: Intel core i7-7700HQ at 2.8 GHz, 16 GB RAM, and NVIDIA GeForce GTX 1060). The visual stimulus was an outdoor scene based on a Japanese city model in which there are plenty of familiar objects (e.g., buildings, cars and traffic signals). The visual stimulus was displayed at 90 fps.
4
Multisensory Integration in Virtual Reality
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Participants were shown a virtual environment from a first-person perspective through a head-mounted display (HTC VIVE, displaying a stereoscopic image at a resolution of 2,160 × 1,200). A right-hand virtual avatar moved in the virtual environment, either synchronously or after an approximate 440-ms delay from the participant's righthand movements. The virtual world was developed using Unity3D and run on a Windows PC (Level Infinity by iiyama: Intel core i7-7700HQ at 2.8 GHz, 16 GB RAM, and NVIDIA GeForce GTX 1060), and the participants' hand movements were tracked using an HTC VIVE controller.
The visual stimulus was a white ball having a 10-cm diameter shown in the virtual environment. It originated 300 cm from the participants and approached the participants at a velocity of 75 cm/s. The tactile stimulus consisted of vibrations of 80 Hz for 200 ms delivered from the controller held in the participant's right hand. The controller itself vibrated. Therefore, the controller provided the tactile stimulus to a participant's entire hand rather than to a specific part of the hand.
The visual stimulus was a white ball having a 10-cm diameter shown in the virtual environment. It originated 300 cm from the participants and approached the participants at a velocity of 75 cm/s. The tactile stimulus consisted of vibrations of 80 Hz for 200 ms delivered from the controller held in the participant's right hand. The controller itself vibrated. Therefore, the controller provided the tactile stimulus to a participant's entire hand rather than to a specific part of the hand.
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