Good Job.

Many students want find a good job when they graduate from university.

But what is a good job.

Some of them to find the job which can bring them much more money. Some of them want to find the job which will bring them a good social status, Well the others want to find more liberation even with less money.

The mainstream view of point in current society is using the amount of annual consumption to measure the standard of living. The more you spend on things the better you live.

Almost every one assume the one consumes more is better of f than the others.

So Some of them are only interested in the higher salary job even the job occupied all their spare time.

They work from morning till night constantly even in the weekend.

Then they’d like to spend the money on the luxury goods to present they can afford it.

They are very happier when the other people admire their goods.Only at this time their inter greedy is met to some extent.

They are afraid that the others look down upon them by using the cheaper products.

But The traditional Chinese culture does tell us do not leads a life like this.

It tells us to find a middle way to live do not go to the extreme for everything.

We can enjoy the pleasure and expensive things but do not crave for them.

It is not worthwhile to exchange it with all you youth valuable time.

We should learn how start with less,simplicity is more important than more.

Sometime it is easy to find the less is more.

We use less then we get more liberation.

Of course you will find you are always affected by the people surround you.

You subconsciously think it is difficult to work much less and live much more.

You’ll find you are much more stressed about money.

So you become the slave of the works gradually.

Without the inspiration or spirit just like a machine only can work.

You had a lot of things to be eager to do but gave it up when you were a student because the time but now you find it is even harder as a worker.

We had time although we had no money when we were students but now we have neither.

You dreams are disappear, You are not what you were.

That is all the good jobs bring to you.

But on the contrary,If you stop to chasing what you want now.

you will find you have much more time much more liberation.

The happier after you want less.

Do you like solving technical problems? Are you good at science and math? You might consider it becoming an engineer. Engineers are problem solvers who apply the theories and principles of science and mathematics to research and develop economical solutions to technical problems. Their work is the link between perceived social needs and commercial applications. However, it's always good to let students know what's ahead and help them understand how their choices may impact their life. Here we are providing the pros and cons of an engineering degree. Prose of an engineering degree. Engineering degrees usually dominate the best college degrees lists. It's a bit easier to get a job with an engineering degree than with a humanity's degree. Engineering jobs pay well and are more stable than most other careers. Also, there is a wide variety of job opportunities. If you like solving problems, then the right engineering job will keep you busily happy. You would finally know how things work in real life. You would finally learn the science or engineering behind all machines. You can design and implement your own creation. Engineers often escalate to management positions and earn excellent money over the life of their careers. If a career in research is interesting, an engineering degree can pave the way to further study. An understanding of high level math gives a greater understanding of the world around you. And application of this to real problems can be very satisfying. Abundant job opportunities worldwide. The world will always get more technically advanced, and will need more engineers. Cons of an engineering degree, the engineering coursework can be quite difficult. If you don't have the aptitude for it, then you might not be able to get through it. More time in school than an associates degree. Also, the cost for college will also be relatively high. Often, engineering students have very little opportunity to take business manufacturing, art or writing courses. The amount of stuff you learn at university is negligible to what you do in industry. In industry, you'll probably solve a problem that has never been encountered before. You need to keep learning new stuff to stay current in your field. The work can be stressful, especially when the equipment or structure has the potential to impact human life. Long work hours, it's hard to maintain a good work life balance in the initial phase of an engineering career, workload can be unpredictable and at times very high competitive atmosphere for promotion. Performance is perceived by superiors, determines one's ability to be promoted. Need to do a lot of hard work during studies and also after studies, until you get settled in a good job. Even after that, you have to continue to work hard to keep up with the latest technology. Studying never stops. Well, don't be scared. It is not that difficult as it looks to keep up with the latest technology. The bottom line is, you have to enjoy it. If you like tinkering with electronics, writing computer programs, designing buildings or taking apart engines, then you might enjoy being an engineer. It's a tough decision to make when you're young, but reach out and try to talk to some real engineers. If you're thinking about a career in engineering, it is much easier now with social media to contact people. Thank you for watching this video, and good luck for your career. 生成思维导图
06-14
【电力系统】单机无穷大电力系统短路故障暂态稳定Simulink仿真(带说明文档)内容概要:本文档围绕“单机无穷大电力系统短路故障暂态稳定Simulink仿真”展开,提供了完整的仿真模型与说明文档,重点研究电力系统在发生短路故障后的暂态稳定性问题。通过Simulink搭建单机无穷大系统模型,模拟不同类型的短路故障(如三相短路),分析系统在故障期间及切除后的动态响应,包括发电机转子角度、转速、电压和功率等关键参数的变化,进而评估系统的暂态稳定能力。该仿真有助于理解电力系统稳定性机理,掌握暂态过程分析方法。; 适合人群:电气工程及相关专业的本科生、研究生,以及从事电力系统分析、运行与控制工作的科研人员和工程师。; 使用场景及目标:①学习电力系统暂态稳定的基本概念与分析方法;②掌握利用Simulink进行电力系统建模与仿真的技能;③研究短路故障对系统稳定性的影响及提高稳定性的措施(如故障清除时间优化);④辅助课程设计、毕业设计或科研项目中的系统仿真验证。; 阅读建议:建议结合电力系统稳定性理论知识进行学习,先理解仿真模型各模块的功能与参数设置,再运行仿真并仔细分析输出结果,尝试改变故障类型或系统参数以观察其对稳定性的影响,从而深化对暂态稳定问题的理解。
本研究聚焦于运用MATLAB平台,将支持向量机(SVM)应用于数据预测任务,并引入粒子群优化(PSO)算法对模型的关键参数进行自动调优。该研究属于机器学习领域的典型实践,其核心在于利用SVM构建分类模型,同时借助PSO的全局搜索能力,高效确定SVM的最优超参数配置,从而显著增强模型的整体预测效能。 支持向量机作为一种经典的监督学习方法,其基本原理是通过在高维特征空间中构造一个具有最大间隔的决策边界,以实现对样本数据的分类或回归分析。该算法擅长处理小规模样本集、非线性关系以及高维度特征识别问题,其有效性源于通过核函数将原始数据映射至更高维的空间,使得原本复杂的分类问题变得线性可分。 粒子群优化算法是一种模拟鸟群社会行为的群体智能优化技术。在该算法框架下,每个潜在解被视作一个“粒子”,粒子群在解空间中协同搜索,通过不断迭代更新自身速度与位置,并参考个体历史最优解和群体全局最优解的信息,逐步逼近问题的最优解。在本应用中,PSO被专门用于搜寻SVM中影响模型性能的两个关键参数——正则化参数C与核函数参数γ的最优组合。 项目所提供的实现代码涵盖了从数据加载、预处理(如标准化处理)、基础SVM模型构建到PSO优化流程的完整步骤。优化过程会针对不同的核函数(例如线性核、多项式核及径向基函数核等)进行参数寻优,并系统评估优化前后模型性能的差异。性能对比通常基于准确率、精确率、召回率及F1分数等多项分类指标展开,从而定量验证PSO算法在提升SVM模型分类能力方面的实际效果。 本研究通过一个具体的MATLAB实现案例,旨在演示如何将全局优化算法与机器学习模型相结合,以解决模型参数选择这一关键问题。通过此实践,研究者不仅能够深入理解SVM的工作原理,还能掌握利用智能优化技术提升模型泛化性能的有效方法,这对于机器学习在实际问题中的应用具有重要的参考价值。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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