10,920 research outputs found
Investigating Resistance Factors in Last-Mile Drone Delivery
This paper aims to fill an emerging research gap in alleviating general resistance to using drones in last-mile delivery. The risks that pertain to its program codes, package objects, and communication signals are what we identify and propose to be the significant resistance reasons. Our theoretical basis includes Diffusion of Innovations Theory (DIT) and Equity Theory (ET). Our methodological approach is based on a structured experiment where there are drones and delivery scenarios for our experimental participants to experience, followed by data collection and statistical analysis. Overall, this paper contributes to enhancing general satisfaction with last-mile drone delivery
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
A recent trend in DNN development is to extend the reach of deep learning
applications to platforms that are more resource and energy constrained, e.g.,
mobile devices. These endeavors aim to reduce the DNN model size and improve
the hardware processing efficiency, and have resulted in DNNs that are much
more compact in their structures and/or have high data sparsity. These compact
or sparse models are different from the traditional large ones in that there is
much more variation in their layer shapes and sizes, and often require
specialized hardware to exploit sparsity for performance improvement. Thus,
many DNN accelerators designed for large DNNs do not perform well on these
models. In this work, we present Eyeriss v2, a DNN accelerator architecture
designed for running compact and sparse DNNs. To deal with the widely varying
layer shapes and sizes, it introduces a highly flexible on-chip network, called
hierarchical mesh, that can adapt to the different amounts of data reuse and
bandwidth requirements of different data types, which improves the utilization
of the computation resources. Furthermore, Eyeriss v2 can process sparse data
directly in the compressed domain for both weights and activations, and
therefore is able to improve both processing speed and energy efficiency with
sparse models. Overall, with sparse MobileNet, Eyeriss v2 in a 65nm CMOS
process achieves a throughput of 1470.6 inferences/sec and 2560.3 inferences/J
at a batch size of 1, which is 12.6x faster and 2.5x more energy efficient than
the original Eyeriss running MobileNet. We also present an analysis methodology
called Eyexam that provides a systematic way of understanding the performance
limits for DNN processors as a function of specific characteristics of the DNN
model and accelerator design; it applies these characteristics as sequential
steps to increasingly tighten the bound on the performance limits.Comment: accepted for publication in IEEE Journal on Emerging and Selected
Topics in Circuits and Systems. This extended version on arXiv also includes
Eyexam in the appendi
From Isovist to Spatial Perception: Wayfinding in Historic Quarter
Based on the assumption that human behaviours are mainly affected by physical and animate environments, this empirical research takes the changeful and complex historical district in Tainan to observe wayfinding behaviours. An a priori analysis of the isovist fields is conducted to identify spatial characteristics. Three measures, the relative area, convexity, and circularity, are applied to scrutinize the possible stopping points, change of speed, and route choices. Accordingly, an experiment is carried out to observe spatial behaviours and different influences of social stimuli. Results show that social interactions afford groups and pairs to perform better than individual observers in wayfinding.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creative commons.org/licenses/by-nc-nd/4.0/).Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: wayfinding; isovist; spatial perception and social stimuli; historic quarte
Recommended from our members
GPER-induced signaling is essential for the survival of breast cancer stem cells.
G protein-coupled estrogen receptor-1 (GPER), a member of the G protein-coupled receptor (GPCR) superfamily, mediates estrogen-induced proliferation of normal and malignant breast epithelial cells. However, its role in breast cancer stem cells (BCSCs) remains unclear. Here we showed greater expression of GPER in BCSCs than non-BCSCs of three patient-derived xenografts of ER- /PR+ breast cancers. GPER silencing reduced stemness features of BCSCs as reflected by reduced mammosphere forming capacity in vitro, and tumor growth in vivo with decreased BCSC populations. Comparative phosphoproteomics revealed greater GPER-mediated PKA/BAD signaling in BCSCs. Activation of GPER by its ligands, including tamoxifen (TMX), induced phosphorylation of PKA and BAD-Ser118 to sustain BCSC characteristics. Transfection with a dominant-negative mutant BAD (Ser118Ala) led to reduced cell survival. Taken together, GPER and its downstream signaling play a key role in maintaining the stemness of BCSCs, suggesting that GPER is a potential therapeutic target for eradicating BCSCs
The Relationship Of Development Status Of Investee Countries And Investor Perceptions Of Foreign Earnings
This study investigates the impact of corporate internationalization and the development status of investee countries on the foreign earnings response coefficient (FERC), which is a measure of the value-relevance of foreign earnings. To improve competitiveness, firms worldwide have expanded aggressively into foreign markets, thereby increasing their exposure to external risks and uncertainties on the one hand, and sources of growth and reward on the other. Using a Taiwanese sample, we found that greater corporate internationalization via investments in developed countries was positively related to the foreign ERC. We expected, and found, that companies can enhance the positive effects of internationalization by investing in countries that are relatively better developed than in countries that are less well developed. The public policy implications of these findings are discussed
- …