Constrain的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Citizens of Worlds: Open-Air Toolkits for Environmental Struggle

為了解決Constrain的問題，作者Gabrys, Jennifer 這樣論述：

An unparalleled how-to guide to citizen-sensing practices that monitor air pollution Modern environments are awash with pollutants churning through the air, from toxic gases and intensifying carbon to carcinogenic particles and novel viruses. The effects on our bodies and our planet are perilous. Ci

tizens of Worlds is the first thorough study of the increasingly widespread use of digital technologies to monitor and respond to air pollution. It presents practice-based research on working with communities and making sensor toolkits to detect pollution while examining the political subjects, rela

tions, and worlds these technologies generate. Drawing on data from the Citizen Sense research group, which worked with communities in the United States and the United Kingdom to develop digital-sensor toolkits, Jennifer Gabrys argues that citizen-oriented technologies promise positive change but th

en collide with entrenched and inequitable power structures. She asks: Who or what constitutes a ＂citizen＂ in citizen sensing? How do digital sensing technologies enable or constrain environmental citizenship? Spanning three project areas, this study describes collaborations to monitor air pollution

from fracking infrastructure, to document emissions in urban environments, and to create air-quality gardens. As these projects show, how people respond to, care for, and struggle to transform environmental conditions informs the political subjects and collectives they become as they strive for mor

e breathable worlds. Jennifer Gabrys is Chair in Media, Culture, and Environment in the Department of Sociology at the University of Cambridge. She is author of How to Do Things with Sensors and Program Earth: Environmental Sensing Technology and the Making of a Computational Planet (both publishe

d by Minnesota), as well as Digital Rubbish: A Natural History of Electronics.

Constrain進入發燒排行的影片

審計品質與審計效率之關聯性

為了解決Constrain的問題，作者林允煥 這樣論述：

本研究旨在探討審計品質與審計效率之關聯性,並探討會計師層級產業專精對於審計工作之影響,檢測產業專家對於審計品質與效率之間關連性的調節效果。本研究係以 2013 年至 2018 年我國上市(櫃)公司為研究樣本,以客戶裁決性應計數作為審計品質的代理變數,並以查核報告延遲作為審計效率的代理變數進行測試。根據實證結果歸納出以下結論:審計品質與審計品質間具有關聯性,且審計品質與審計效率無法兼具,兩者之間為抵銷(trade-off)關係。產業專家會計師相較於非產業專家,具有較高的聲譽成本以及訴訟成本,因此產業專家會計師為了避免較大的聲譽損失及訴訟損失,會花費更多的時間進行案件查核,因此產業專精會強化審計

品質與審計效率之間的負向關聯。

Citizens of Worlds: Open-Air Toolkits for Environmental Struggle

為了解決Constrain的問題，作者Gabrys, Jennifer 這樣論述：

An unparalleled how-to guide to citizen-sensing practices that monitor air pollution Modern environments are awash with pollutants churning through the air, from toxic gases and intensifying carbon to carcinogenic particles and novel viruses. The effects on our bodies and our planet are perilous. Ci

tizens of Worlds is the first thorough study of the increasingly widespread use of digital technologies to monitor and respond to air pollution. It presents practice-based research on working with communities and making sensor toolkits to detect pollution while examining the political subjects, rela

tions, and worlds these technologies generate. Drawing on data from the Citizen Sense research group, which worked with communities in the United States and the United Kingdom to develop digital-sensor toolkits, Jennifer Gabrys argues that citizen-oriented technologies promise positive change but th

en collide with entrenched and inequitable power structures. She asks: Who or what constitutes a ＂citizen＂ in citizen sensing? How do digital sensing technologies enable or constrain environmental citizenship? Spanning three project areas, this study describes collaborations to monitor air pollution

from fracking infrastructure, to document emissions in urban environments, and to create air-quality gardens. As these projects show, how people respond to, care for, and struggle to transform environmental conditions informs the political subjects and collectives they become as they strive for mor

e breathable worlds. Jennifer Gabrys is Chair in Media, Culture, and Environment in the Department of Sociology at the University of Cambridge. She is author of How to Do Things with Sensors and Program Earth: Environmental Sensing Technology and the Making of a Computational Planet (both publishe

d by Minnesota), as well as Digital Rubbish: A Natural History of Electronics.

SImP-Net: Single-Image Parts Segmentation by Disentangling Shape and Appearance

為了解決Constrain的問題，作者吳伊恩 這樣論述：

Unsupervised part segmentation aims to label each pixel in an image as belonging to a part of an object. Prior works are able to learn object parts by leveraging on the changes in geometry and appearance present in either multi-view image collections or videos. Works that use only a single image as

input are only able to segment parts with color similarities which limits the quality of the retrieved object parts. To capture part features beyond color, other works utilise a pre-trained model which does not generalize well to classes outside of the ImageNet dataset e.g. industrial products. To

address this problem, we propose a novel segmentation network that learns parts by reconstructing the input with only a set number of part clusters and an appearance vector per part, effectively learning a disentangled part-appearance representation. This bottleneck encourages parts to be grouped by

a common appearance vector, effectively encoding both color and texture. We use a mutual information loss to cluster pixels of similar appearance and a spatial continuity loss to group pixels that form local connections. To further constrain clusters to contain relevant parts, we propose the use of

a novel reassignment loss which penalizes each cluster into having at most one unique object part. We demonstrate competitive performance on the BSD500 dataset and also show that the disentangled shape and appearance representation can be used in other applications such as image editing.