Traditional inertial-sensor-based pedometers are not user-friendly because of the limited availability of inertial sensors in existing mobile computing devices. To remedy the drawback, we propose a visual pedometer sc...
详细信息
Studies of motion are fundamental to science. For centuries, pictures of motion have factored importantly in making scientific discoveries possible. Today, there is perhaps no tool more powerful than interactive virtu...
详细信息
Studies of motion are fundamental to science. For centuries, pictures of motion have factored importantly in making scientific discoveries possible. Today, there is perhaps no tool more powerful than interactive virtual reality (VR) for conveying complex space-time data to scientists, doctors, and others; however, relatively little is known about how to design virtual environments in order to best facilitate these analyses. In designing virtual environments for presenting scientific motion data (e.g., 4D data captured via medical imaging or motion tracking) our intuition is most often to “reanimate” these data in VR, displaying moving virtual bones and other 3D structures in virtual space as if the viewer were watching the data being collected in a biomechanics lab. However, recent research in other contexts suggests that although animated displays are effective for presenting known trends, static displays are more effective for data analysis.
We have developed a statistical soft error rate(SER) analysis that incorporates response surface modeling and a neuron modeling algorithm,which is calibrated to *** results verify faster and more accurate SER estimation.
We have developed a statistical soft error rate(SER) analysis that incorporates response surface modeling and a neuron modeling algorithm,which is calibrated to *** results verify faster and more accurate SER estimation.
This research reviews scissors lifts structure manufactured by AEREX, UMW Advantech Sdn. Bhd. that is used on a catering hi-lift using Finite Element Analysis (FEA). The scissors lifts is one of the major and crucial ...
详细信息
This research reviews scissors lifts structure manufactured by AEREX, UMW Advantech Sdn. Bhd. that is used on a catering hi-lift using Finite Element Analysis (FEA). The scissors lifts is one of the major and crucial components of a catering hi-lift which is mainly used to hoist the van body of the catering hi-lift for aircraft servicing. The catering hi-lift is one of the aircraft ground support equipment that is commonly used to service commercial airliners. For the design to be approved by the department of Safety and Health (DOSH) Malaysia under Hoisting Machine design according to DS-149 Standard, it must comply with specific engineeringdesign standard. The only standard applicable is the ANSI Standard MH29.1-2003 “Safety Requirements for Industrial Scissors Lifts” (Revision on ANSI MH29.1-1994). Focusing on the deflection accordance to the ANSI Standard; calculation regarding the allowable maximum deflection must not be exceeded. To analyze, manual calculations, solid modeling and computer simulations were involved using state-of-the-art CAE software. Several linear static FEA analyses were done to get accurate results. The results show that the deflection is still in the acceptable range. However, some manufacturers find that the allowable maximum deflection is too excessive. Therefore, advice on critical areas to the application must be given and other safety precautions must be taken to avoid failure during operation.
Techniques to reduce the search space when an optimizer seeks an optimal value are studied in this paper. A new mutation technique called the "Exponential Moving Average" algorithm (EMA) is introduced. The p...
详细信息
We have studied thermalization of optically thick pair plasma with baryon loading by particle collisions and followed the evolution of distribution functions starting far from equilibrium configuration. With this goal...
详细信息
At the nanoscale domain, the simulation, design, and optimization time of the circuits have increased significantly due to high-integration density, increasing technology constraints, and complex device models. This n...
详细信息
At the nanoscale domain, the simulation, design, and optimization time of the circuits have increased significantly due to high-integration density, increasing technology constraints, and complex device models. This necessitates fast design space exploration techniques to meet the shorter time to market driven by consumer electronics. This paper presents non-polynomial metamodels (surrogate models) using neural networks to reduce the design optimization time of complex nano-CMOS circuit with no sacrifice on accuracy. The physical design aware neural networks are trained and used as metamodels to predict frequency, locking time, and power of a PLL circuit. Different architectures for neural networks are compared with traditional polynomial functions that have been generated for the same circuit characteristics. Thorough experimental results show that only 100 sample points are sufficient for neural networks to predict the output of circuits with 21 design parameters within 3% accuracy, which improves the accuracy by 56% over polynomial metamodels. The generated metamodels are used to perform optimization of the PLL using a bee colony algorithm. It is observed that the non-polynomial (using neural networks) metamodels achieve more accurate results than polynomial metamodels in shorter optimization time.
With CMOS technologies progressing deeper into the nano-scale domain the design of analog and mixed-signal components is becoming very challenging. The presence of parasitics and the complexity of calculations involve...
详细信息
With CMOS technologies progressing deeper into the nano-scale domain the design of analog and mixed-signal components is becoming very challenging. The presence of parasitics and the complexity of calculations involved create an enormous challenge for designers to keep their design within specifications when reaching the physical layout stage of the design process. This paper proposes a novel ultra-fast design flow that uses memetic-based optimization algorithms over neural-network based non-polynomial metamodels for design-space exploration. A new heuristic optimization algorithm which is based on memetic algorithms and artificial bee colony optimization is introduced. The design flow relies on a multiple-layer feedforward neural network metamodel of the nano-CMOS circuit. Using a CMOS PLL circuit it is shown that the proposed design flow is flexible and robust while it achieves optimal design to two different wireless specifications, WiMax and MMDS. Experimental results show that the proposed approach is 2.4 × faster than the swarm based optimization over the same metamodels.
We present a study of interactive virtual reality visualizations of scientific motions as found in biomechanics experiments. Our approach is threefold. First, we define a taxonomy of motion visualizations organized by...
详细信息
Perceptibility on the part of the user is a key influence on the success or failure of a wearable sensor. Most wearable sensors seek to measure or monitor parameters of the body as accurately as possible, yet wearable...
详细信息
Perceptibility on the part of the user is a key influence on the success or failure of a wearable sensor. Most wearable sensors seek to measure or monitor parameters of the body as accurately as possible, yet wearable sensors are notoriously plagued by the error (also referred as noise) that may be introduced by the movement of the sensor over the body surface. In this paper, we implement a novel method for analyzing error introduced by garment properties in garment-integrated wearable sensing during body movement, and assess in detail the errors introduced by donning and doffing of a garment (garment positioning error) and by garment drift during the gait cycle (drift error).
暂无评论