英文翻译(小论文)
论文 英文文翻译
Guidance Notes for completing application formPart 1 Personal InformationEligibility to work at the British CouncilWe are only able to accept applications from individuals who have the right to work in the country to which they have applied.Personal InformationThe British Council’s normal retirement age is 65. If you are over this age, or within 6 months of it, at the time you apply to join us, in line with the Equality (Age) Regulations 2006, we will consider your application but reserve the right to reject it if we consider that we would be unlikely to derive sufficient benefit from your appointment in the period before your retirement.Criminal Convictions (UK)Subject to certain exempted occupations, convictions that are ‘spent’ under the Rehabilitation of Offenders Act 1974 need not be mentioned. Please be aware that declaring a conviction will not automatically disqualify you from being employed unless this post is subject to a Criminal Records Bureau Check.If the post is subject to a Criminal Records Bureau Check, British Council is committed to safeguarding and promoting the welfare of children and young people and expects all of its partners to share this commitment. Appointment to these roles are subject to enhanced Criminal Records Bureau (CRB) checks in the UK, and, where appropriate, equivalent systems overseas.Data ProtectionThe British Council will use the information you provide in this form to process your application. If your application is successful and you take up employment with the British Council, this form will be kept on your personnel file and some details from it will be held electronically by Human Resources in line with the Data Protection Act (1998). If your application is unsuccessful, this form willbe kept on file for one year after completion of the recruitment exercise and then securely destroyed.The British Council will treat all personal details in accordance with UK law and its own privacy policy. Under Data Protection law you have the right to ask for a copy of the information we hold on you, for which we may charge a fee, and the right to ask us to correct any inaccuracies in that information. If you do want more information about this please contact your local British Council office or the Data Protection Team dataprotection@. Part 2 Job-Related InformationDisabilityThe UK Disability Discrimination Act 1995 defines a person with a disability as someone who has a physical or mental impairment (including a learning or sensory impairment) that has a substantial and long term adverse effect on his/her ability to carry out normal day to day activities. In any country, it is British Council policy to interview all applicants who are disabled and who meet the essential criteria for an advertised job.Employment and professional informationPlease give details of your employment for the last 10 years, or since leaving full-time education if this is sooner, starting with the most recent employment. Account for all your time, including voluntary work or other periods away from work. Please be aware that it will not prejudice your application if you disclose a period of ill health or a period out of formal employment (e.g. time spent at home bringing up children).Other relevant experiencePlease note that this does not need to be limited to work experience. It can include experience of volunteering or of roles held within the community e.g. youth worker, community worker or leader etc..。
英语小作文带翻译
英语小作文带翻译
英文回答：
I remember one time when I was in high school, I had a big argument with my best friend. We were both really stubborn and neither of us wanted to apologize. It was a really tense situation and we didn't talk for weeks. Finally, I realized that our friendship was more important than being right, so I reached out and apologized. It was a difficult conversation, but it was worth it because we were able to move past the argument and our friendship became even stronger.
中文回答：
我记得有一次我和我最好的朋友在高中的时候大吵了一架。
我
们俩都很固执，都不想道歉。
那段时间气氛非常紧张，我们两个都
不说话好几个星期。
最后，我意识到我们的友谊比谁对谁错更重要，所以我主动道歉了。
那次谈话很艰难，但是值得，因为我们得以摆
脱争吵，我们的友谊变得更加坚固。
英语议论文经典范文3篇(带翻译)
英语议论文经典范文3篇（带翻译）有很多的同学在写英语作文的时候，也会写一些经典的议论文，小编整理了相关范文，希望会对大家有所帮助！英语作文范文带中文翻译Manyyearsago,themovieabouttheyouthbecameverypopular,everyyear,wecanseeman yhotmoviesabouttheprotagonist’spassedyouth.Peopleliketorecalltheirpassedyouth, whichmakessuchmoviessellgood.ButIfindthecommonthingsaboutthesemovies,alltheprotagonists’youthareaboutfighting,loveandothernegativethings.Iunderstandthedirectors’intention,theywanttotellpeopleyouthisnotperfectandhavingpities.Ofcourse movieisexaggerating,therealyouthisaboutstudying,atleast,mostpeoplehaveworkedso hardtogetintotheiridealcolleges.Whatthemoviesdescribemakeupsomepeople’syouth,forwhichtheydon’thavethechancetoexperience.Weshouldnotbemisledbythesemovies,fortheteenagers,theirjobistostudy,sothattheycanhaveabrightfuture.【翻译】很多年以前，关于青春的电影很受欢迎，此后每年，我们都可以看到很多热门电影是关于主人公逝去的青春。
英语小论文翻译
一、英文原文Compensation of temperature drift of MEMSgyroscope using BP neural networkQintuo Zhang，Zhenfan Tan，Lidong GuoCollege f AutomationHarbin Engineering universityNantong Street 145，Harbin，Heilongjiang,China Abstract:In order to solve the temperature change on the impact of MEMS gyroscope output, through self-development MEMS IMU temperature test, we used BP neural network to predict the temperature drift of MEMS gyroscope and compensation it. After using BP neural network to compensate three gyroscopes, we compared the results with the traditional least-squares method that the output error variance respectively reduced from 0.4242, 0.3506 and 0.4335 to 0.0758, 0.1024 and 0.1122. The results indicate the correctness and validity of the method, so as to offer a new method to improve the performance of MEMS gyroscope .Keywords:MEMS Gyroscope; BP Neural Network; Temperature DriftI. INTRODUCTIONIn recent years, a promising technology, micro-electromechanical systems (MEMS) based inertial sensors has been developed[9], however, due to the small size and weight of it, the performance characteristics are highly dependent on the temperature variations[1]. Due to the production process and other reasons, the gyroscope frequency or AGC are tested to simulate MEMS gyroscope temperature changes, which inevitably bring additional error [2-3]. We researched on ADXL150 MEMS gyroscope made by Analog Devices Inc, and which can give the temperature, while its sensitivity is only information of it, the temperature coefficient is 8.4mv/°necessary a nd practical to compensate temperature drift 12.5mv/°/s. Therefore, it’sthrough temperature test. Some researchers focuses on the impact of temperature on the MEMS gyroscope zero bias, in which the zero bias voltage is converted to angular rate value, but it is not clear how to select the scale factor with temperature changes[4]; Reference[5] shows temperature impact on scale factor is not as important as on zero bias of gyroscope; Reference[7] presents the system identification of MEMS vibratory gyroscope designed by JPL, and analyze gyroscope error through changing structural resonant frequency made by temperature. In this paper, BP neural network was used to predict temperature drift of gyroscope, through in-hand MEMS IMU temperature test, the results show that the method is obviously superior to the traditional least-squares method.II. METHODOLOGYA. Temperature Character of MEMS GyroscopeFirst, with the change of temperature, changes of microstructure of gyroscope mainly two kinds: the change in size and change in material elastic modulus. Because change in size with temperature has little effect on the performance of gyroscope, heremainly discuss the elastic modulus changes.Changes in elastic modulus will change the system stiffness, the resonant frequency of the gyroscope will change with the system stiffness. Therefore, temperature changes will lead to resonant frequency drift.Elastic modulus varies with temperature linearly as follows[8]:Where E(T) , E0 is elastic modulus for the silicon material at temperature of T and 0 T respectively.System stiffness is proportional to elastic modulus:Where K , K0 is system stiffness at temperature of T and T0 respectively.We can get the formula between resonant frequency of gyroscope with temperature as follows:Where Wn（T）is resonant frequency of gyroscope at temperatureT .Change of resonant frequency of gyroscope impact on the driven mode and test mode of it, so we can get the output of driven axis:Where y(t) is output of driven axis and F is driven force[5].B. BP Neural NetworktheMinsky and Papert showed a two layer feed-forward network which can overcome many restrictions, but did not present a solution to the problem of how to adjust the weights from input to hidden units in 1969. An answer to this question was presented by Rumelhart, Hinton and Williams in 1986, and similar solutions appeared to have been published earlier. The central idea behind this solution is that the errors for the units of the hidden layer are determined by back-propagating the errors of the units of the output layer. For this reason the method is often called the back-propagation learning rule. Back-propagation can also be considered as a generalization of the delta rule for non-linear activation functions and multilayer networks.A feed-forward network has a layered structure. Each layer consists of units which receive their input from units from a layer directly below and send their output to units in a layer directly above the unit. There are no connections within a layer.Multi-layer neural network model using BP algorithm is commonly known as the BP algorithm. Multi-layer model topology is shown as Fig.1. Network consists of input layer, hidden layer and output layer nodes. Hidden layer can also be multi-layer, the former layer after layer of nodes to connect through the connection weights, that is, topological structure of directed acyclic graph feed-forward network.III. TEST SETUPBefore In this paper, a self-development MEMS IMU(Fig.2) was chosen for the trial, in which gyroscope is ADXRS150, its performance shows as Table I. Three gyroscopes were installed orthogonally as shown in Fig.3. As temperature of gyroscope is not the temperature of environment, so temperature in this paper is the internal temperature of gyroscope, which was got by data acquisition circuit. At the same time, impact of temperature on scale factor of every gyroscope was negligible. We obtained scale factors of MEMS gyroscopes installed in each axis through calibration tests , which are x k = 11.9665mv/ ° / s, y k = 11.8281 mv / ° / s and z k = 12.1239 mv / °/ s. We put the entire MEMS IMU into temperature chamber with the environment temperature was changed from -20 ° C to 20 °C[6]. In order to make the gyroscopes temperature close to environment temperature, we began to record data 30 minutes after the system started.Figure 1. Multi-layer Forward BP NetworkTABLE I Specifications for ADXRS150 gyroFigure 2. MEMS IMUFigure 3.Installment of MEMS gyroscopesIV. TEST RESULTSBefore using BP neural network, Here we first give three gyroscopes output varies time as show in Fig.4temperature versus time curve as shown in Fig.5 and Fig.6 shows gyroscope’s output varies with temperature.Figure 4. Gyroscope outputFigure 5.Temperature vs.timeTemprature/degCFigure 6. Gyroscope output vs. TemperatureWe used a single hidden layer design in this article. In the MATLAB neural network toolbox, we apply the function newff to establish BP network. Network transfer function of hidden layer neurons using symmetric tangent function tansig, and the output layer neurons use a linear function of the transfer function purelin, this is because w e must first return a handle, and a linear function of the network just to meet the output requirements. Levenberg-Marquardt algorithm for network training is corresponds to trainlm function in MATLAB toolbox. Here are some parameters we chose in BP neural network prediction.a) Largest training times 1000b) 3 training targets 0.001c) Shows number of train travel stack 100d) The number of hidden layer neurons 6BP neural network prediction is shown below as Fig .7, where the blue line represents the gyroscopes origin output, while green line represents p rediction of it. The three gyroscopes forecast error variances are as follows: 0.0758, 0.1024 and 0.1122.To illustrate the superiority of this method, here we give the results forecasted by traditional least-squares method as Fig.8 shows. Here we chose second –degree polynomial. In Fig.8, blue line represents outputs of gyroscopes and green line represents p rediction of least-squares. T hree gyroscopes forecast error variance are 0.4242, 0.3506 and 0.4335 respectively.Temperature/degCFigure 7. Forecast curve of BP neural networkTemprature/degCFigure8. Least-squares curveV. CONCLUSIONSTemperature has a great impact on zero-bias of MEMS gyroscope, and is showing a non-linear characteristic. This paper presents a BP neural network to forecasting the temperature drift. Test proved that the neural network can compensate t emperature drift effectively, with the use of neural network training data, gyroscope and temperature data was directly input to the neural network, and then output data would be gotten. Through the neural network model, high precision simulation models could be out. The whole process is stable, relatively fast speed, and finally the results compared with traditional least-squares m ethod, the estimation error variance from the gyroscope reduced from 0.4242, 0.3506 and 0.4335 to 0.0758, 0.1024 and 0.1122. Through the software compensation method, the method can successfully reduce the temperature drift of the gyroscope. Deficiency is that the text does not consider the scale factor affected by temperature as well as gyro temperature drift characteristics in dynamic cases.ACKNOWLEDGMENTThe authors would like to thank Beijing Aerospace Control Instrument Research Institute for providing temperature chamber as well as hardware interfaces to collect test data given in this paper.二、英文翻译基于BP神经网络算法的MEMS陀螺仪的温度漂移补偿谭振藩，张勤拓，郭立冬自动化学院哈尔滨工程大学南通街145号，哈尔滨，黑龙江，中国摘要：为了解决温度变化对MEMS陀螺仪输出的影响，通过对自主开发的MEMS IMU的温度测试，我们使用BP神经网络对MEMS陀螺仪的温度漂移进行补偿。
英文小作文及翻译
英文小作文及翻译英文：Recently, I have been asked about my favorite hobby and why I enjoy it so much. Well, I have to say that myfavorite hobby is reading. I love to read books, magazines, and newspapers. Reading is not only a way to gain knowledge and learn new things, but it is also a way to escape from reality and enter into a different world.One of my favorite books is "To Kill a Mockingbird" by Harper Lee. This book is a classic and tells the story of a young girl named Scout and her experiences growing up in the South during the 1930s. The book deals with important themes such as racism, prejudice, and social inequality. I love this book because it is well-written and has a powerful message that still resonates today.Another reason why I enjoy reading is because it helps me to relax and de-stress. After a long day at work orschool, I like to curl up with a good book and forget about my worries for a while. Reading is like a form of therapyfor me.中文：最近，有人问我我的最爱爱好是什么以及为什么我这么喜欢它。
论文英文翻译
论文英文翻译Essay 1 - College EducationIn recent years, college education has become a topic of great debate. Some people argue that a college degree is essential for success in today's society, while others believe that it is not necessary. This essay will argue that college education is indeed important and beneficial for several reasons.Firstly, obtaining a college degree can provide individuals with better career opportunities. In today's competitive job market, employers often prioritize candidates with a higher education background. College graduates are more likely to find stable employment and earn higher salaries compared to those without a degree. Furthermore, many professions require specific knowledge and skills that can only be acquired through a college education. For example, doctors, engineers, and lawyers must complete several years of study in order to obtain the necessary qualifications for their respective fields.Secondly, college education can help individuals develop important life skills. During their time at college, students are exposed to a variety of subjects and experiences, which enable them to develop critical thinking, problem-solving, and communication skills. College also provides opportunities for students to engage in extracurricular activities and interact with a diverse group of individuals. This fosters social and cultural awareness, as well as teamwork and leadership skills. These skills are valuable not only in the workplace but also in everyday life.Moreover, college education promotes personal growth and lifelong learning. The college environment encourages students to explore new ideas, challenge their assumptions, and discover their passions. It provides a platform for intellectual development and self-discovery. Students are exposed to a wide range of subjects, perspectives, and cultures, which broadens their knowledge and worldview. College education also instills a sense of curiosity and a desire for continuous learning, which are essential qualities in today's rapidly changing world.In conclusion, college education is important and beneficial for several reasons. It provides better career opportunities, helps individuals develop important life skills, and promotes personal growth and lifelong learning. While it is true that college education may not be necessary for everyone, obtaining a degree can significantly enhance one's chances of success in both personal and professional aspects of life.。
毕业论文英文翻译
毕业论文英文翻译Title: The Impact of Artificial Intelligence on Employment Abstract:This paper explores the impact of artificial intelligence (AI) on employment. The rise of AI technologies has sparked concerns about its potential to replace human jobs. Through an analysis of existing literature and case studies, this study investigates the ways in which AI has affected various industries and job sectors. The findings indicate that while AI has the potential to automate certain tasks and reduce the need for human intervention, it also creates new job opportunities and contributes to economic growth. Additionally, the study highlights the importance of retraining and upskilling workers to adapt to the changing job market. Overall, this research contributes to a better understanding of the complex relationship between AI and employment and provides insights into proactive strategies to address the challenges posed by AI. Introduction:Artificial intelligence has emerged as a powerful technology with the potential to transform various aspects of society, including the workforce. The rapid advancement of AI has raised concerns about potential job losses and increased automation. This study aims to explore the impact of AI on employment and identify strategies to mitigate negative effects. By examining existing literature and case studies, this research provides a comprehensive analysis of AI's influence on different industries and job sectors.Literature Review:The literature offers a wide range of perspectives on the impact ofAI on employment. Some studies suggest that AI will lead to significant job losses in sectors such as manufacturing, transportation, and customer service. They argue that AI technologies, such as autonomous vehicles and chatbots, can perform tasks previously done by humans more efficiently and at a lower cost. On the other hand, other studies argue that AI will create new job opportunities and enhance productivity. For example, the healthcare sector benefits from AI technologies by improving diagnosis accuracy and streamlining administrative processes.Case Studies:This study includes several case studies that examine the impact of AI on specific industries. The manufacturing industry, for instance, has experienced both job losses and job creation due to the introduction of AI. While certain tasks have been automated, new roles related to AI maintenance and programming have emerged. Similarly, the retail industry has witnessed the integration of AI technologies, leading to job displacement in traditional retail jobs but also the creation of new positions in data analysis and online customer support.Mitigation Strategies:To address the challenges posed by AI, strategies should focus on retraining and upskilling the workforce to adapt to the changing job market. Governments and organizations should encourage workers to acquire in-demand skills such as data analysis and AI programming. Additionally, collaboration between academia and industry is crucial to ensure that education and training programs remain relevant and effective. Finally, policies that support jobtransition and income support for displaced workers will help minimize the negative impact of AI on employment. Conclusion:The impact of artificial intelligence on employment is a complex and multifaceted issue. While concerns about job losses are valid, it is important to recognize that AI also creates new job opportunities and contributes to economic growth. By implementing proactive strategies, such as retraining and upskilling, societies can better navigate the changes brought about by AI and ensure a future where humans and machines can coexist harmoniously.。
英文小作文加翻译
英文小作文加翻译英文：Recently, I have been feeling a bit down and struggling to find motivation to do things. I think it might be due to the current situation with the pandemic and being stuck at home most of the time. I have been trying to find ways to lift my mood and get back on track, and I have found a few things that have helped.Firstly, I have started to exercise more regularly. I have been doing some yoga and going for walks in my local park. I find that getting outside and moving my body helps to clear my head and boost my energy levels.Secondly, I have been trying to stay connected with friends and family. Even though we can't meet in person, I have been making an effort to have regular video calls and catch-ups. It's important to have social support,especially during difficult times.Lastly, I have been trying to focus on things that I enjoy and that make me happy. For example, I have been reading more books and watching my favourite TV shows. It's important to take time for yourself and do things that bring you joy.Overall, I think it's important to be kind to ourselves during this challenging time and to find ways to take care of our mental health.中文：最近，我感到有点沮丧，缺乏做事的动力。
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A virtual instrument based measurement and control platform for vibration
analysis of motor
LI Wen1, LI Li2
Abstract:This paper describes the establishing process of motor vibration analyzing system based on virtual instrument. This system consists of data acquisition module, vibration spectrum analysis module, and control module. Real-time collection of data acquisition module can be operated during motor running process. Power spectrum, harmonic analysis and STFT intensity spectrum can be done with vibration spectrum analysis module; and the performance of motor under different control laws can be easily studied by call control algorithms with control module. The test results show that the platform is feasible and effective.
Key words: motor vibration; virtual instrument; spectrum analysis module; control module
2.1 data acquisition module
Place DAQ Assistant Express VI and Write to Measurement File .vi into While Circulation in program block diagram while set the cycle time as 60s, then set the channel, sensitivity, sample rate and other parameters in DAQ Assistant . Run the program can collect experimental data and the data can be stored by the designated route in the folder. Fig.4 shoes its program
Fig.4. program of DAQ Data acquisition
2.2.4 STFT 时频谱分析模块
短时傅里叶变换（STFT ）是最早得到应用的时频分析方法之一。
信号()τx 的连续短时傅里叶变换定义如下
()()()()[]dt e t x f t STFT f j x τπγτγτ2,-+∞
∞
-*⎰-= 式中，右上角*号代表复数共轭，()τγ为一时间宽度很小的时窗。
即信号()τx 乘上一个以t 为分布中心的“分析时窗()t -τγ”所作的傅里叶变换。
由于乘以一个相当短的时窗()t -τγ，
等价于取出信号在分析点t =τ附近的一个切片，所以()()f t STFT x ,γ可视为信号()τx 在“分析时间”t 时刻处的“局部频谱”。
STFT 属于线性变换，不存在二次型时频分布的“交叉项”问题，对应的谱图有明确的物理解释。
STFT 强度图显示的时频特性直观且易于分析 。
LabVIEW 的信号处理VI 中的谱分析VI 中提供了短时傅里叶变换（STFT ）算法。
它由输入信号X 通过STFT 算法计算出STFT 时频图{}X ，并在分析结果上用强度图表示出来，横轴为时间轴，纵轴为频率轴，图中用色谱的强弱来表示某一选定时刻下频率分量的多少。
在程序前面板的窗信息中可以设置窗类型和窗长度；在时频采样信息中设置时间步长和频率区间。
窗类型和窗长度指用于计算STFT 的窗的类型和长度。
窗的长度可影响STFT 的时间精度和频率精度。
较窄的窗的持续时间较短、带宽较大，可得到更好的时间精度，但频率精度不理想。
较宽的窗的持续时间较长、带宽较窄，可得到更好的频率精度，但时间精度不理想。
即时间与频率不可能同时最优化。
要想达到优化处理，就需要根据实际情况选用不同的窗函数和窗长度。
本平台选择使用Hanning 窗，窗长度和时间步长分别采用默认值512和-1。
频率区间2048根据STFT 时频图VI 提供的强制频率区间为2的幂这一功能和本系统1652Hz 采样频率计算得到。
其程序框图如图5所示。
2.控制模块
本闭环控制系统主要由NI 公司的配套产品C 系列模块NI9265、NI9401结合Lab VIEW 软件完成。
运用Lab VIEW 中的DAQmx 和PID 函数编写程序就可实现对电机转速的测量和PID 控制。
Lab VIEW 作为图形化编程开发环境有其自身的优势和不足，其优势体现在开发效率高、内置函数丰富等。
不足之处则表现为对底层软件的驱动、大量复杂的数据计算显得力不从心。
因此，Lab VIEW 提供了与C 语言、MA TALAB 等其他应用程序的接口，使开发人员可以综合不同的开发环境实现工程开发。
本设计中采用MATALAB Script 节点调用用MA TALAB 编写的控制器程序便于日后分析各种控制器作用下电机的振动情况。