Experimental

实验

Experimental aircraft

试验机

Experimentation

实验

Experimentally

实验

Meteorological data and information on soil conditions at the experimental sites were systematically recorded and kept in databases for use in the analysis of the results of the trials.
http://www.fao.org/forestry [...] en/index.html

本项目进行了迅速的乡村评估，以了解更多关于农村人口的需要和要求信息，力图推动并确保他们吸纳和参与项目活动，以提高目标项目的产出。
http://www.fao.org/forestry [...] zh/index.html

Finally, the algorithm was used to tune the plastication controller on-line. A Motorola 68000-based microprocessor was used for data acquisition and control of an Arburg injection molding machine. The experimental set-up and results are discussed in Section VI. Similar results (not reported here) have been obtained for the injection phase.

最后，该算法被用来在线调整塑化控制器。一款以摩托罗拉公司的68000为基础的微处理器将用于数据采集和雅宝注塑机的控制。实验设置和结果在第六部分进行讨论。类似的结果（在这里没有报告）注塑阶段已经获得。

12. Also invites the international donor community and financial institutions to support the experimental reimbursable seeding operations trust fund of the United Nations Habitat and Human Settlements Foundation;

12. 又邀请国际捐助界和金融机构支持联合国生境和人类住区基金会的试验性可偿还原始业务信托基金；

Presently, operators that are trying to optimize two (or more) objective functions, must do so through trial and error selection of the gains. This results in many experimental runs that are usually costly. What is needed is an on-line system that can guide the operator through the gain selection process while keeping down the number of experiments. In addition, this must be done in a manner that can accommodate changing process conditions. The multiobjective optimization problem is well suited to addressing these issues.

目前，运营商正试图优化两个（或更多）的目标函数，必须通过对增益的反反复复的选择来实现。这导致了需要进行许多实验，而这些实验通常十分昂贵。现在需要的是一个在线系统，可以通过增益选择过程来指导操作者，同时降低实验次数。此外，这必须以一种可以满足不断变化的进程条件的方式完成。多目标优化问题是非常适合处理解决这些问题。

14. Requests the Secretary-General, during the course of the programme budget for the biennium 2004-2005, to commence, on an experimental basis, with the redeployment of posts as necessary to meet the evolving needs of the Organization in attaining its mandated programmes and activities, in accordance with the following principles:

14. 请秘书长在2004-2005两年期方案预算期间开始试行，按照下列各项原则，根据需要调动员额，以满足本组织在完成法定方案和工作方面不断变化的需要：

3. Commends the focus by the Fund on strategic programmes in its three thematic areas and on supporting innovative and experimental activities in implementing its strategy and business plan (2000-2003) within the context of the Beijing Platform for Action and the outcome document of the twenty-third special session of the General Assembly;

3. 赞扬基金在其三个主题领域将重点放在战略方案，支助在《北京行动纲要》 和大会第二十三届特别会议成果文件 框架内实施其战略与业务计划（2000-2003年） 中的创新和试验活动；

2. Decides that the budget of the International Tribunal for the Prosecution of Persons Responsible for Serious Violations of International Humanitarian Law Committed in the Territory of the Former Yugoslavia since 1991 shall be biennialized, on an experimental basis, for the period 2002-2003, also decides to keep the matter of the biennialization under review, and requests the Secretary-General to report to the General Assembly at its fifty-eighth session on the results of the experiment and the impact on the functioning of the Tribunal;

2. 决定试行按两年制方式编制起诉应对1991年以来前南斯拉夫境内所犯严重违反国际人道主义法行为负责者的国际法庭的2002-2003年预算，又决定经常审查两年制预算的问题，并请秘书长向大会第五十八届会议报告此项试验的结果和对前南问题国际法庭运作的影响；

6. Takes note of the decision of the Governing Council of UN-Habitat to enable UN-Habitat to undertake from 2007 to 2011 a four-year phase of experimental reimbursable seeding operations and other innovative financing arrangements, as defined in Governing Council resolution 21/10, bearing in mind the provisions of the special annex for the United Nations Habitat and Human Settlements Foundation appended by the Secretary-General to the Financial Regulations and Rules of the United Nations, and taking into consideration the relevant elements of the operational procedures and guidelines;

6. 注意到人居署理事会决定授权人居署在2007至2011年为期四年的阶段中开展试验性可偿还原始业务，并实行理事会第21/10号决议中界定的其他创新融资安排， 铭记秘书长在《联合国财务条例和细则》中增列的联合国生境和人类住区基金会特别附则 所载规定，同时考虑到各项业务程序和准则的相关内容；

2. Decides that the budget of the International Criminal Tribunal for the Prosecution of Persons Responsible for Genocide and Other Serious Violations of International Humanitarian Law Committed in the Territory of Rwanda and Rwandan Citizens Responsible for Genocide and Other Such Violations Committed in the Territory of Neighbouring States between 1 January and 31 December 1994 shall be biennialized, on an experimental basis, for the period 2002-2003, also decides to keep the matter of the biennialization under review, and requests the Secretary-General to report to the General Assembly at its fifty-eighth session on the results of the experiment and the impact on the functioning of the Tribunal;

2. 决定试行按两年制方式编制起诉应对1994年1月1日至12月31日期间在卢旺达境内的种族灭绝和其他严重违反国际人道主义法行为负责者和应对这一期间邻国境内种族灭绝和其他这类违法行为负责的卢旺达公民的国际刑事法庭的2002-2003年预算，又决定经常审查两年制预算的问题，并请秘书长向大会第五十八届会议报告此项试验的结果及其对卢旺达问题国际法庭运作的影响；

1. No one shall be subjected to torture or to cruel, inhuman or degrading treatment or punishment. In particular, no one shall be subjected without his or her free consent to medical or scientific experimentation.

一. 不得对任何人实施酷刑或残忍、不人道或有辱人格的待遇或处罚。特别是不得在未经本人自由同意的情况下，对任何人进行医学或科学试验。

（MATLAB帮助内容） Measuring Angle of Intersection A common task in machine vision applications is hands-free measurement using image acquisition and image processing techniques. Your goal is to measure the angle and point of intersection between two beams using bwtraceboundary, which is a boundary tracing routine. Contents Step 1: Load Image Step 2: Extract the Region of Interest Step 3: Threshold the Image Step 4: Find Initial Point on Each Boundary Step 5: Trace the Boundaries Step 6: Fit Lines to the Boundaries Step 7: Find the Angle of Intersection Step 8: Find the Point of Intersection Step 9: Plot the Results. Step 1: Load Image Read in gantrycrane.jpg and draw arrows pointing to two beams of interest. It is an image of a gantry crane used to assemble a bridge. RGB = imread('gantrycrane.png'); imshow(RGB); text(size(RGB,2),size(RGB,1) 15,'Image courtesy of Jeff Mather',... 'FontSize',7,'HorizontalAlignment','right'); line([300 328],[85 103],'color',[1 1 0]); line([268 255],[85 140],'color',[1 1 0]); text(150,72,'Measure the angle between these beams','Color','y',... 'FontWeight', 'bold'); Step 2: Extract the Region of Interest Crop the image to obtain only the beams of the gantry crane chosen earlier. This step will make it easier to extract the edges of the two metal beams. % you can obtain the coordinates of the rectangular region using % pixel information displayed by imtool start_row = 34; start_col = 208; cropRGB = RGB(start_row:163, start_col:400, :); imshow(cropRGB) % Store (X,Y) offsets for later use; subtract 1 so that each offset will % correspond to the last pixel before the region of interest offsetX = start_col-1; offsetY = start_row-1; Step 3: Threshold the Image Convert the image to black and white for subsequent extraction of the edge coordinates using bwtraceboundary routine. I = rgb2gray(cropRGB); threshold = graythresh(I); BW = im2bw(I,threshold); BW = ~BW; % complement the image (objects of interest must be white) imshow(BW) Step 4: Find Initial Point on Each Boundary The bwtraceboundary routine requires that you specify a single point on a boundary. This point is used as the starting location for the boundary tracing process. To extract the edge of the lower beam, pick a column in the image and inspect it until a transition from a background pixel to the object pixel occurs. Store this location for later use in bwtraceboundary routine. Repeat this procedure for the other beam, but this time tracing horizontally. dim = size(BW); % horizontal beam col1 = 4; row1 = min(find(BW(:,col1))); % angled beam row2 = 12; col2 = min(find(BW(row2,:))); Step 5: Trace the Boundaries The bwtraceboundary routine is used to extract (X, Y) locations of the boundary points. In order to maximize the accuracy of the angle and point of intersection calculations, it is important to extract as many points belonging to the beam edges as possible. You should determine the number of points experimentally. Since the initial point for the horizontal bar was obtained by scanning from north to south, it is safest to set the initial search step to point towards the outside of the object, i.e. 'North'. boundary1 = bwtraceboundary(BW, [row1, col1], 'N', 8, 70); % set the search direction to counterclockwise, in order to trace downward. boundary2 = bwtraceboundary(BW, [row2, col2], 'E', 8, 90,'counter'); imshow(RGB); hold on; % apply offsets in order to draw in the original image plot(offsetX boundary1(:,2),offsetY boundary1(:,1),'g','LineWidth',2); plot(offsetX boundary2(:,2),offsetY boundary2(:,1),'g','LineWidth',2); Step 6: Fit Lines to the Boundaries Although (X,Y) coordinates pairs were obtained in the previous step, not all of the points lie exactly on a line. Which ones should be used to compute the angle and point of intersection? Assuming that all of the acquired points are equally important, fit lines to the boundary pixel locations. The equation for a line is y = [x 1]*[a; b]. You can solve for parameters 'a' and 'b' in the least-squares sense by using polyfit. ab1 = polyfit(boundary1(:,2), boundary1(:,1), 1); ab2 = polyfit(boundary2(:,2), boundary2(:,1), 1); Step 7: Find the Angle of Intersection Use the dot product to find the angle. vect1 = [1 ab1(1)]; % create a vector based on the line equation vect2 = [1 ab2(1)]; dp = dot(vect1, vect2); % compute vector lengths length1 = sqrt(sum(vect1.^2)); length2 = sqrt(sum(vect2.^2)); % obtain the larger angle of intersection in degrees angle = 180-acos(dp/(length1*length2))*180/pi angle = 129.4971 Step 8: Find the Point of Intersection Solve the system of two equations in order to obtain (X,Y) coordinates of the intersection point. intersection = [1 ,-ab1(1); 1, -ab2(1)] \ [ab1(2); ab2(2)]; % apply offsets in order to compute the location in the original, % i.e. not cropped, image. intersection = intersection [offsetY; offsetX] intersection = 143.0917 295.7494 Step 9: Plot the Results. inter_x = intersection(2); inter_y = intersection(1); % draw an X at the point of intersection plot(inter_x,inter_y,'yx','LineWidth',2); text(inter_x-60, inter_y-30, [sprintf('%1.3f',angle),'{\circ}'],... 'Color','y','FontSize',14,'FontWeight','bold'); interString = sprintf('(%2.1f,%2.1f)', inter_x, inter_y); text(inter_x-10, inter_y 20, interString,... 'Color','y','FontSize',14,'FontWeight','bold'); Copyright 1993-2005 The MathWorks, Inc. Published with MATLAB® 7.8 MATLAB and Simulink are registered trademarks of The MathWorks, Inc. Please see www.mathworks.com/trademarks for a list of other trademarks owned by The MathWorks, Inc. Other product or brand names are trademarks or registered trademarks of

syries（MATLAB的帮助内容）