Experimental and Applied Mechanics, Volume 6

Proulx, Tom

doi:10.1007/978-1-4419-9792-0

Cited by 11 publications

(6 citation statements)

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“…Pixel measurements are listed in Table 3. A Regressor (GBR) gradient [21,22] is trained with three characteristics: stature, person width and centroid, as mentioned in Section 3.3 in order to obtain Predht. The Predht prediction rate is evaluated using RMSE and Pearson's correlation coefficient(r) for a test_size=0.2.…”

Section: Feature Extraction For Real Height Predictionmentioning

confidence: 99%

Depth Perception in a Single RGB Camera Using Body Dimensions and Centroid Property

Alphonse¹,

Sriharsha²

2020

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Infrastructure Supervision is a compelling need for buildings and open areas. It is facilitated through the joint use of stereo vision cameras, techniques and algorithms. This Stereoscopic assessment helps monitoring systems to reconstruct people's visible surface and also provides a robust estimation of the position and posture of the person that allows 3D scene activities and interactions. In practice, in occluded fields, the correspondence between pixels and pixels interferes with the flow of data in surveillance. Structured light ToF imaging and Light Field imaging sensors came into being considering the restriction. These techniques, however failed in addressing the inaccuracies and noise introduced in the phase of profound capture. Based on the Human Anthropometric research, we suggested a technique for estimating the depth of an individual from a single RGB camera. As we deal with moving objects in a scene, also consideration is given to centroid ownership. The system is trained by feeding stature, body width and centroid as inputs to estimate a person's actual height using gradient boosting model. And a person's further anticipated height and actual height are used to predict distance. After taking actual depth (camera to person distance) and real height as ground truth, the suggested model is validated and it is inferred that the camera to person distance anticipated (Preddist) from estimated Real height is 95% correlated with actual Camera to Person distance (or depth) at a confidence level of 99.9% with RMSE of 0.092.

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Section: Feature Extraction For Real Height Predictionmentioning

confidence: 99%

Depth Perception in a Single RGB Camera Using Body Dimensions and Centroid Property

Alphonse¹,

Sriharsha²

2020

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“…The diamond composite dicing blade used for all mechanical grinding cuts had a nominal width of 70 μm. Five streets were cut aligned parallel to the 1 1 0 wafer flat, and then another five streets were cut perpendicular to the 1 1 0 wafer flat, figure 1 [20] so that square die could be obtained. Water jets helped keep the blade cool while the dicing took place.…”

Section: Sample Preparationmentioning

confidence: 99%

“…For the dicing saw notch geometry, the maximum principal stress is located at the notch root, while the maximum principal stress for the DRIE samples is located at the corner fillet regions. For both trenching methods, the ANSYS calculated stress concentration factors for notch depths from 10% to 90% of the total wafer thickness are shown in figure 5 which is from [20].…”

Section: Stress Concentration Derivationmentioning

confidence: 99%

“…This result is likely equipment-specific, and may not hold for other wafer dicing saw or DRIE systems. During preliminary work on project [20], the initial specimens 100% separated via DRIE (last two columns in figure 7(b)) showed surprisingly low stress magnitude at the time of rupture. Careful inspection of these specimens revealed micro-pitting due to failure of the photoresist protection layer during the DRIE process.…”

Section: Individual Die Rupture Strengthmentioning

confidence: 99%

“…This result may also have relevance to the commonly used 'dice-by-thinning' procedure for die separation, for which partial DRIE notching may be preferable to partial notches created via a dicing saw. More statistics and preliminary data can be found in [20].…”

Section: Individual Die Rupture Strengthmentioning

confidence: 99%

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Die separation and rupture strength for deep reactive ion etched silicon wafers

Porter

Berfield²

2013

J. Micromech. Microeng.

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The work herein analyzes the bending stress required to separate and rupture die from notched silicon wafers. Trenches are formed on the wafers using either a dicing or Bosch deep reactive ion etching (DRIE) process. Weibull distribution parameters are reported for all variations of the fracture experiments. Additionally, the relative defect rate associated with DRIE-based die separation are compared with traditional saw methods for a variety of notch depths. Results indicate that the DRIE-based separation technique offers improved rupture strength over the traditional methods, but can also greatly reduce die strength if performed improperly. Dies completely separated by the DRIE process showed a mean failure stress of 1.16 GPa with a Weibull standard deviation of 682 MPa compared to 452 and 65 MPa mean and standard deviation stress for die completely separated by a traditional dicing saw.

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Micromechanical effect of pores on elastic properties of polymer matrix composites

et al. 2020

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Advanced composite polymer matrix and their different manufacturing processes tend to develop pores of varying size and play a major limiting role in residual stress, damage initiation, matrix cracking, strength, and durability. Direct imaging or simulations to understand the pore formation mechanism in the viscous polymer is difficult. Ultimately, the mechanical performance of the solidified matrix needs better prediction. This paper presents a stochastic micromechanical model, including the effect of pores' formation on the polymer matrix's elastic properties. Theoretical homogenization based micromechanical models for polymer composites is reviewed in the first part. Later, a micromechanical model is proposed considering the different stages of pore formation in a polymer matrix. Polymer samples are fabricated for determining the pore distribution parameters and used appropriately in the proposed model to estimate the elastic properties for a given distribution and volume fraction of the pores. A modified Mori‐Tanaka homogenization approach and a differential scheme of inclusion of pores are incorporated in the model. Results obtained from the proposed model are compared with the experimental measurements, and a significant correlation is found.

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Experimental and Applied Mechanics, Volume 6

Cited by 11 publications

References 0 publications

Depth Perception in a Single RGB Camera Using Body Dimensions and Centroid Property

Depth Perception in a Single RGB Camera Using Body Dimensions and Centroid Property

Die separation and rupture strength for deep reactive ion etched silicon wafers

Micromechanical effect of pores on elastic properties of polymer matrix composites

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