George Aye, "‘Minimal Viable Behavior’ and its Impact on the Future of Social...WebVisions
When tackling social issues such as access to clean drinking water in Haiti or improving education for youth along the autism spectrum, we often see what we call a Minimal Viable Behavior. It’s the kind of irrational but habitual behaviors that resource-constrained populations often perform in order to get by on a day-to-day basis.
At Greater Good studio, we design tools for positive behavior change. But before we design anything, we conduct research with vulnerable populations in context, to understand the conditions that are producing the behaviors of today. In order for us to be successful, we have to design our tools to be behaviorally competitive with current norms. But for many vulnerable populations, the Minimal Viable Behavior stands as the biggest competition of all.
Using Social Media Effectively pdf with notes - GSAEDeirdre Reid
Don’t create that Facebook or Twitter page yet! There’s prep work to be done. Learn what to do before diving into social media, or, if you already jumped, how to ensure a good return on your time investment. You’ll learn to plan, monitor, measure and use the tools effectively.
ODMedia was founded in 2004 and has established itself as an industry-leading partner in content mastering, digitizing, archiving, enterprise encoding, video on demand and broadcast services.
ODMedia provides a one-stop-shop service covering the entire video content value chain between content owners and telecom, cable & iptv operators. Our services enable video on demand, linear tv and catch-up tv.
Framework for Socially Influencing SystemsAgnis Stibe
People continuously experience various types of engagement through social media, mobile interaction, location-based applications, and other technologically advanced environments. Often, integral parts of such socio-technical contexts often are information systems designed to change behaviors and attitudes of their users by leveraging powers of social influence, further defined as socially influencing systems (SIS). Drawing upon socio-psychological theories, this paper initially reviews and presents a typology of relevant social influence aspects. Following that, it analyzes four partial least squares structural equation modeling (PLS-SEM) based empirical studies to examine the interconnectedness of their social influence aspects. As a result, the analysis provides grounds for seminal steps towards the development and advancement of a framework for designing and evaluating socially influencing systems. The main findings can also deepen understanding of how to effectively harness social influence for enhanced user engagement in socio-technical environments and guide persuasive engineering of future socially influencing systems.
Kpatch is a tiny live-patching tool/function for linux kernel which is under development. This explains how the kpatch kernel module works in Japanese.
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
6. Futureの基本的な使い方
void calc(std::promise<int> p) {
int sum = 0;
for (int i = 1; i <= 10; ++i) {
sum += i;
}
p.set_value(sum);
}
int main() {
std::promise<int> p;
std::future<int> f = p.get_future();
std::thread t(calc, std::move(p));
t.join();
}
int result = f.get();
std::cout << result << std::endl; // 55
7. Futureの基本的な使い方
void calc(std::promise<int> p) {
int sum = 0;
for (int i = 1; i <= 10; ++i) {
sum += i;
}
p.set_value(sum);
}
int main() {
1. promiseとfutureの
std::promise<int> p;
std::future<int> f = p.get_future();
共有状態を作る
std::thread t(calc, std::move(p));
t.join();
}
int result = f.get();
std::cout << result << std::endl; // 55
8. Futureの基本的な使い方
void calc(std::promise<int> p) {
int sum = 0;
for (int i = 1; i <= 10; ++i) {
sum += i;
}
p.set_value(sum);
}
int main() {
std::promise<int> p;
std::future<int> f = p.get_future();
std::thread t(calc, std::move(p));
t.join();
}
2. バックグラウンドスレッドに
promiseの所有権を移譲する
int result = f.get();
std::cout << result << std::endl; // 55
9. Futureの基本的な使い方
void calc(std::promise<int> p) {
int sum = 0;
for (int i = 1; i <= 10; ++i) {
sum += i;
}
3. バックグラウンドスレッドの
p.set_value(sum);
処理が終わったら、結果を
}
promiseに書き込む
int main() {
std::promise<int> p;
std::future<int> f = p.get_future();
std::thread t(calc, std::move(p));
t.join();
}
int result = f.get();
std::cout << result << std::endl; // 55
10. Futureの基本的な使い方
void calc(std::promise<int> p) {
int sum = 0;
for (int i = 1; i <= 10; ++i) {
sum += i;
}
p.set_value(sum);
}
int main() {
std::promise<int> p;
std::future<int> f = p.get_future();
}
std::thread t(calc, std::move(p));
t.join();
4. promiseに書き込まれるのを待って、
結果をfutureが読み込む。
int result = f.get();
std::cout << result << std::endl; // 55