Highly stable pt ru nanoparticles supported on three-dimensional cubic ordere...suresh899
The cost of the catalysts used in the direct methanol fuel cell
poses a challenge to its widespread use as an energy efficient and environment
friendly fuel conversion technology. In this study, two types of highly ordered
mesoporous carbon CMK-8 (I and II) with high surface area and 3-D
bicontinuous interpenetrating channels were synthesized and deposited with
PtRu nanoparticles using the sodium borohydride reduction method. The
electrocatalytic capabilities for methanol oxidation were investigated using
cyclic voltammetry and chronoamperometry, and the results were compared
with that of PtRu deposited on Vulcan XC-72 using the same preparation
method as well as with commercial PtRu/C (E-TEK) catalyst. Pt Ru/CMK-8-I synthesized by the method developed in this work revealed an
outstanding specific mass activity (487.9 mA/mg) and superior stability
compared with the other supports, thus substantiating its potential to reduce
the costs of DMFC catalysts.
Electrooxidation of methanol on carbon supported pt ru nanocatalysts prepared...suresh899
Carbon Supported PtRu nanocatalysts have been prepared by simple impregnation reduction method in which Pt and Ru precursors are reduced by ethanol under reflux conditions for different reaction times. The prepared nanocatalysts were characterized by means of XRD, EDAX, ICP-AAS, FESEM and TEM. XRD analyses showed that all nanocatalysts exhibited f.c.c crystal structure, the structure characteristic for pure Pt, except for that reduced at prolonged reaction time of 4h which showed the presence of characteristic peak for Ru metal. The lattice constant calculations indicate that all catalysts are present in unalloyed phase and the average particle size as determined by TEM was in the range of 3.7 nm. The electrocatalytic activities and stability for the prepared nanocatalysts methanol electro-oxidation reaction (MOR) were studied by cyclic voltammetry. The catalysts prepared at 2h reduction time showed higher electrocatalytic activity in terms of mass specific activity and good stability over potential sweep for 100 cycles for methanol electro-oxidation. The results showed that the prepared nanocatalysts are considered as promising electrode catalyst (anode catalyst) for electro-oxidation of methanol in direct methanol fuel cells.
Performance of carbon nanofiber supported pd–ni catalysts for electro oxidati...suresh899
Carbon nanofibers (CNF) supported Pd–Ni nanoparticles have been prepared by chemical reduction
with NaBH4 as a reducing agent. The Pd–Ni/CNF catalysts were characterized by X-ray diffraction
(XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electrochemical
voltammetry analysis. TEM showed that the Pd–Ni particles were quite uniformly distributed on the
surface of the carbon nanofiber with an average particle size of 4.0 nm. The electro-catalytic activity of
the Pd–Ni/CNF for oxidation of ethanol was examined by cyclic voltammetry (CV). The onset potential
was 200mV lower and the peak current density four times higher for ethanol oxidation for Pd–Ni/CNF
compared to that for Pd/C. The effect of an increase in temperature from 20 to 60 ◦C had a great effect on
increasing the ethanol oxidation activity.
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。
28. 変数を使ってみよう
package jp.numa08.androidtao;
public class Main {
/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
int number = 4;
System.out.println(number);
}
}
@numa08:#AndroidTao1 2012/4/22
30. 変数の宣言色々
int x;//普通に宣言
x = 14;//14 を代入
int y,z = 12;//yとzを同時に宣言。zに12を代入
x = 5;//最後に代入された値が有効
int 2ab;//数字で始まる変数はだめ
int x;//同じ名前の変数はだめ
@numa08:#AndroidTao1 2012/4/22
34. 計算しよう 変数を使う
int numA = 20;
int numB = 3;
int ans;
ans = numA + numB;
System.out.println(ans);
ans = numA - numB;
System.out.println(ans);
ans = numA * numB;
System.out.println(ans);
ans = numA / numB;
System.out.println(ans);
ans = numA % numB;
System.out.println(ans);
@numa08:#AndroidTao1 2012/4/22
38. if-else文とは
int a = 2112 - 2012;
if (a == 100) {
System.out.println("差は100です");
} else {
System.out.println("100じゃないです");
}
@numa08:#AndroidTao1 2012/4/22
39. if-else if – else とは
int a = 2112 - 2012;
if (a == 100) {
System.out.println("差は100です");
} else if (a == 200) {
System.out.println("差は200です");
} else {
System.out.println("100でも200でもないです");
}
@numa08:#AndroidTao1 2012/4/22
41. 論理演算子とは
int a = 0, b = 0;
a == b;// aとbが等しいとき、true
a != b;// a≠b aとbが等しくないとき、true
(a == b) && (a != b);// A&&B AとBがともに真の時、true
(a == b) || (a != b);// A||B AかBの少なくとも一方が真のとき、 true
@numa08:#AndroidTao1 2012/4/22
52. みんなの単位の合計と平均!!
// 2012年度1年生の取得単位数一覧!!
int abe = 30;
int itou = 28;
int ooyama = 24;
int koyama = 10;
int yokoi = 2;
int sum = abe + itou + ooyama + koyama + yokoi;
System.out.println("みんなの単位は全部で" + sum + "単位だよ!!");
int ave = sum / 5;
System.out.println("みんなの単位の平均は" + ave + "単位だよ!!");
@numa08:#AndroidTao1 2012/4/22
53. みんなの単位の合計と平均!!
// 2012年度1年生の取得単位数一覧!!
int[] tani = { 30, 28, 24, 10, 2 };
int sum = 0;
for (int i = 0; i < tani.length; i++) {
sum += tani[i]; // sum = sum + tani[i];と一緒
}
System.out.println("みんなの単位は全部で" + sum + "単位だよ!!");
System.out.println("みんなの単位の平均は" + sum / tani.length + "単位
だよ!!")
@numa08:#AndroidTao1 2012/4/22
69. メソッドの練習2
public static void main(String[] args){
// 計算するメソッドの練習
int a = 10, b = 20;
int z = add(a, b);
System.out.println(z);
int z2 = add(15, 24);
System.out.println(z2);
}
30
39
@numa08:#AndroidTao1 2012/4/22
70. メソッドの練習2 答え
public static void main(String[] args) throws Exception {
// 計算するメソッドの練習
int a = 10, b = 20;
int z = add(a, b);
System.out.println(z);
int z2 = add(15, 24);
System.out.println(z2);
}
private static int add(int a, int b) {
int z = a + b;
return z;
}
@numa08:#AndroidTao1 2012/4/22
81. 補足 変数のスコープ
public class Multi {
private final int MAX;
メンバ変数。クラス内のどこからでもアクセスできる。
public Multi(int MAX) {
this.MAX = MAX;
ローカル変数。
} は、処理中のクラスを指す。 メソッド内でならアクセスできる。
これは、メンバ変数。
this
@numa08:#AndroidTao1 2012/4/22