Drive by Daniel H. Pink

FedEx Day工程师自主日:24小时交付真实业务价值的技术实践 工程师自主日(Engineer Self-Directed Day)是一种以时间约束驱动创新的敏捷工程实践,其核心原理在于通过严格限时(如24小时)与工作停摆机制,消除上下文切换损耗,激发自主性、专精感与目标感。该模式不仅提升技术决策效率与交付闭环能力,更将研发动能直接锚定在客户价值、运维提效与系统韧性等可衡量维度。广泛应用于Python/Plone技术栈、CI/CD流水线优化、数据库高可用架构升级、自动化部署框架构建及基础设施物理层治理等典型场景。Six Feet Up的FedEx Day实践,正是这一理 阅读详情

Our third drive—our innate need to direct our own lives, to learn and create new things, and to do better by ourselves and our world.


“Figure out for yourself what you want to be really good at, know that you’ll never really satisfy yourself that you’ve made it, and accept that that’s okay.”

ROBERT B. REICH

Former U.S. Secretary of Labor


With a learning goal, students don’t have to feel that they’re already good at something in order to hang in and keep trying. After all, their goal is to learn, not to prove they’re smart.


“Try to pick a profession in which you enjoy even the most mundane, tedious parts. Then you will always be happy.”

WILL SHORTZ

Puzzle guru


“Nothing is more important to my success than controlling my schedule. I’m most creative from five to nine A.M. If I had a boss or co-workers, they would ruin my best hours one way or another.”

SCOTT ADAMS

Dilbert creator


“Throughout my athletics career, the overall goal was always to be a better athlete than I was at that moment—whether next week, next month or next year. The improvement was the goal. The medal was simply the ultimate reward for achieving that goal.”

SEBASTIAN COE

Middle-distance runner and two-time Olympic gold medal winner


As wonderful as flow is, the path to mastery—becoming ever better at something you care about—is not lined with daisies and spanned by a rainbow. If it were, more of us would make the trip. Mastery hurts. Sometimes—many times—it’s not much fun.


But in the end, mastery often involves working and working and showing little improvement, perhaps with a few moments of flow pulling you along, then making a little progress, and then working and working on that new, slightly higher plateau again. It’s grueling, to be sure. But that’s not the problem; that’s the solution.


Another doctor, one who lacks a Ph.D. but has a plaque in the Basketball Hall of Fame in Springfield, Massachusetts, put it similarly. “Being a professional,” Julius Erving once said, “is doing the things you love to do, on the days you don’t feel like doing them.”16


Over lunch, Csikszentmihalyi and I talked about children. A little kid’s life bursts with autotelic experiences. Children careen from one flow moment to another, animated by a sense of joy, equipped with a mindset of possibility, and working with the dedication of a West Point cadet. They use their brains and their bodies to probe and draw feedback from the environment in an endless pursuit of mastery.

Then—at some point in their lives—they don’t. What happens?

“You start to get ashamed that what you’re doing is childish,” Csikszentmihalyi explained.

What a mistake. Perhaps you and I—and all the other adults in charge of things—are the ones who are immature. It goes back to Csikszentmihalyi’s experience on the train, wondering how grown-ups could have gotten things so wrong. Our circumstances may be less dire, but the observation is no less acute. Left to their own devices, Csikszentmihalyi says, children seek out flow with the inevitability of a natural law. So should we all.


Many of the key tenets of a Montessori education resonate with the principles of Motivation 3.0 that children naturally engage in self-directed learning and independent study; that teachers should act as observers and facilitators of that learning, and not as lecturers or commanders; and that children are naturally inclined to experience periods of intense focus, concentration, and flow that adults should do their best not to interrupt.


Finite and Infinite Games: A Vision of Life as Play and Possibility BY JAMES P. CARSE

Talent Is Overrated: What Really Separates World-Class Performers from Everybody Else BY GEOFF COLVIN

Mindset: The New Psychology of Success BY CAROL DWECK


Learn to listen for a fixed mindset voice that might be hurting your resiliency.

Interpret challenges not as roadblocks, but as opportunities to stretch yourself.

Use the language of growth for example, I'm not sure I can do it now, but I think I can learn with time and effort.


Type I behavior concerns itself less with the external rewards an activity brings and more with the inherent satisfaction of the activity itself.


Mastery is a mindset: It requires the capacity to see your abilities not as finite, but as infinitely improvable. Mastery is a pain: It demands effort, grit, and deliberate practice. And mastery is an asymptote: It's impossible to fully realize, which makes it simultaneously frustrating and alluring.


Nonroutine work: Creative, conceptual, right-brain work that can't be reduced to a set of rules. Today, if you're not doing this sort of work, you won't be doing what you're doing much longer.


Routine work: Work that can be reduced to a script, a spec sheet, a formula, or a set of instructions. External rewards can be effective in motivating routine tasks. But because such algorithmic, rule-based, left-brain work has become easier to send offshore and to automate, this type of work has become less valuable and less important in advanced economies.


Type I behavior: A way of thinking and an approach to life built around intrinsic, rather than extrinsic, motivators. It is powered by our innate need to direct our own lives, to learn and create new things, and to do better by ourselves and our world.


Try to encourage a kid to learn math by paying her for each workbook page she completes-- and she'll almost certainly become more diligent in the short term and lose interest in math in the long term.


Goals may cause systematic problems for organizations due to narrowed focus, unethical behavior, increased risk taking, decreased cooperation, and decreased intrisic motivation. Use care when applying goals in your organization.


Praise effort and strategy, not intelligence. As Dweck’s research has shown, children who are praised for “being smart” often believe that every encounter is a test of whether they really are. So to avoid looking dumb, they resist new challenges and choose the easiest path. By contrast, kids who understand that effort and hard work lead to mastery and growth are more willing to take on new, difficult tasks.

Make praise specific. Parents and teachers should give kids useful information about their performance. Instead of bathing them in generalities, tell them specifically what they’ve done that’s noteworthy.

Daniel_H_Pink_Drive__the_Surprising_Truth.pdf 驱动力,全英文版。很难找到的,原汁原味的原版高清版本。国人翻译的多少有偏差,这个原版很难找到,时候企业管理或者项目管理或者对人的驱动力有兴趣的同事阅读 立即下载

相关推荐

Drive The Surprising Truth About [epub]

Daniel Pink -Drive - The Surprising Truth About What Motivates Us [epub版]

六本重塑工程管理认知的经典书单:从救火队长到团队赋能者

技术管理不是项目进度管控或流程执行,而是对工程师动机、协作机制、组织结构与技术文化四维系统的深度设计。基于自主性、专精感与意义感(Drive),结合DORA指标衡量的技术流健康度(Accelerate),再通过Team Topologies重构团队拓扑、以DevOps Handbook强化反馈闭环,《The Manager’s Path》等六本书共同构建了工程管理者从‘解决问题的人’转向‘创造可扩展能力系统’的认知底层。它们不教话术模板,而直击疲软、内耗与创新乏力的结构性根源——适用于刚带3人小队的Tech

weixin_34417183的博客 404

国央企创新负责人如何通过平台提升技术需求挖掘与资源配置的精准性?.docx

国央企创新负责人如何通过平台提升技术需求挖掘与资源配置的精准性?

虚拟同步发电机(VSG)惯量阻尼自适应控制仿真模型(simulink仿真实现)

内容概要:本文提供了“虚拟同步发电机(VSG)惯量阻尼自适应控制仿真模型”的Simulink仿真实现方法,系统阐述了如何通过仿真手段研究VSG在电力系统中的动态响应特性,重点聚焦于其惯量与阻尼的自适应控制策略。文中详细说明了模型构建流程,涵盖控制算法设计、参数调节、根轨迹分析等内容,并通过对比不同调节系数下的系统响应,深入探讨了控制参数对系统稳定性与动态性能的影响。该仿真模型有效复现了VSG模拟传统同步发电机惯性与阻尼特性的能力,对于提升新能源并网系统的频率稳定性和抗扰动能力具有重要研究价值。; 适合人群:具备电力系统、自动化或相关领域基础知识,从事新能源并网、微电网控制、电力电子与电力系统仿真研究的研究生、科研人员及工程师。; 使用场景及目标:①用于教学与科研中深入理解虚拟同步发电机的工作原理及其在现代电力系统中的应用;②为新能源发电系统接入电网时的稳定性分析与控制策略设计提供仿真验证平台;③支持对VSG控制参数进行优化,提升系统应对负荷波动和扰动的能力。; 阅读建议:建议读者结合Matlab/Simulink软件动手实践,按照文档结构逐步搭建仿真模型,重点关注控制环路设计与参数整定部分,同时参考提供的代码与仿真结果进行对比分析,以加深对VSG自适应控制机制的理解。

科技中介服务机构在协助企业对接科研成果时,如何提升服务响应速度与专业化水平.docx

科技中介服务机构在协助企业对接科研成果时,如何提升服务响应速度与专业化水平

国央企创新负责人在推动内部技术成果转化与外部协同创新时,如何实现资源的高效整合与协同联动?.docx

国央企创新负责人在推动内部技术成果转化与外部协同创新时,如何实现资源的高效整合与协同联动?

两相交错并联Boost电路仿真模型(Simulink仿真实现)

内容概要:本文介绍了“两相交错并联Boost电路仿真模型(Simulink仿真实现)”的技术资源,属于电力电子变换器领域的仿真研究内容。该模型基于Simulink平台构建,旨在深入分析两相交错并联Boost电路的工作原理、动态响应特性及控制策略。交错并联结构通过错开各相开关管的导通时刻,有效降低输入电流纹波、提升系统效率与功率密度,适用于中高功率DC-DC变换应用场景。资源包含完整的主电路建模、PWM驱动信号生成、闭环控制器设计(如电压/电流双闭环控制)等关键模块,并可能涵盖软启动、均流控制等关键技术问题。整个仿真模型强调理论分析与工程实践的紧密结合,不仅有助于理解电路基本行为,也为优化控制算法提供验证平台,服务于科研与教学需求。; 适合人群:电气工程、自动化、电力电子及相关专业的高校本科生、研究生,以及从事电源系统研发的工程技术人员,具备一定的电路理论、自动控制原理和Simulink仿真基础者更佳。; 使用场景及目标:① 学习和掌握两相交错并联Boost电路的拓扑结构、工作机理及性能优势;② 利用Simulink进行电力电子电路的建模与仿真,深入理解PWM控制、闭环调节、均流控制等核心技术的应用;③ 为科研项目、课程设计或毕业设计提供可复用的仿真案例和技术支持,辅助开展中高功率电源系统的创新设计与优化研究。; 阅读建议:建议结合Simulink软件动手搭建并调试模型,通过调整占空比、开关频率、电感参数等变量,观察其对输入电流纹波、输出电压稳定性及动态响应的影响,以深化对电路特性的理解;同时可参考文中列出的其他相关资源(如LLC、PFC等仿真模型)进行横向对比学习,拓宽电力电子系统设计视野。

机器人入门实战:用 ROS2 和 Gazebo 先把差速车 URDF 跑起来,再做一版 SLAM 建图(含教学手册与源码骨架)

原创教学资源包(VIP专属)。围绕机器人开发项目实战搭建可复现闭环:用差速车 URDF 把 base_link、左右轮和激光连杆的关节树写自洽,配一间教学库房的 Gazebo 世界与 launch 骨架;再提供一版合成二维占用栅格建图,对比纯里程计写入和扫描匹配修正,用来分辨 odom 系漂移与 map 系 SLAM 输出。内含中文实战手册与可 make 抽检的 ROS 2 源码骨架。实现均为教学桩,注释标明不是完整 Navigation2 栈,不能替代实机传感器标定,也不是 Cartographer / slam_toolbox 的生产方案。 使用方法:解压后进入 src/ 目录(需 Linux、Python 3;不必安装 ROS 2 或 Gazebo 也能抽检)。先执行 make clean && make test,或运行 python3 scripts/smoke_test.py,看到 ALL SMOKE TESTS PASSED 后再阅读手册.md、README.md 与源码注释。若本机已安装 ROS 2 Humble/Jazzy 与 Gazebo,再把 src/diffbot_slam_tutor 放入工作空间,按 README 中「读者本地环境再跑」的 launch 命令启动仿真。细节见手册.md 与 src/README_SRC.txt。 适合作为成长任务「机器人开发项目实战」的自制合规 VIP 资源上传。建议售价 9.90 元。模型与数据均为虚构示例,不含刷量、搬运或真实个人信息。

区域电网含风光火压缩空气储能抽水蓄能以及电化学储能的联合调度,加入IEEE39系统,进行潮流计算,分析电能质量研究(Matlab代码实现)

内容概要:本文研究了包含风能、太阳能、火电以及压缩空气储能、抽水蓄能和电化学储能等多种能源形式的区域电网联合调度问题,通过将系统接入IEEE 39节点标准测试系统,利用Matlab平台开展潮流计算与电能质量分析,旨在提升高比例可再生能源接入背景下电网运行的稳定性与供电品质。研究重点涵盖多类型电源与多种储能系统的协调优化调度策略设计,深入探讨储能系统在削峰填谷、平滑新能源出力波动方面的关键作用,并对复杂运行工况下电压偏差、频率波动、谐波污染等电能质量问题进行评估与改善。通过构建完整的仿真模型,系统性地分析了联合调度对电网电能质量的影响机制,为现代电力系统中多能互补与协同控制提供了理论依据和技术参考。; 适合人群:具备电力系统分析、优化调度及电能质量相关基础知识,熟悉Matlab/Simulink仿真环境的研究生、科研人员及电力系统相关领域的工程师。; 使用场景及目标:①为含多种储能的区域电网联合调度研究提供完整的Matlab仿真案例与开源代码参考;②分析大规模新能源接入对IEEE 39系统潮流分布及电能质量的综合影响,并定量评估不同类型储能系统的调控效果;③为电力系统优化调度、电能质量综合治理、多能协同控制等学术研究与工程项目提供可复现的技术支撑与解决方案。; 阅读建议:本资源以Matlab代码实现为核心,读者应在掌握电力系统基本理论的基础上,重点关注联合调度的数学建模过程、储能系统充放电策略的制定逻辑以及电能质量各项评价指标的计算方法。建议在学习过程中动手调试仿真代码,尝试调整系统参数、优化目标权重或改变新能源渗透率,以深入理解系统动态行为与控制策略的有效性。

两路半桥LLC谐振变换器软开关Simulink仿真(模拟谐振参数不同、分裂电容)

内容概要:本文介绍了“两路半桥LLC谐振变换器软开关Simulink仿真”资源包,重点在于基于Simulink平台对两路半桥LLC谐振变换器进行高精度建模与动态仿真,特别考虑了谐振参数不一致及分裂电容等非理想工况对系统性能的影响。该仿真模型不仅涵盖了主电路拓扑、软开关实现机制与谐振网络设计,还深入分析了不同参数配置下系统的启动特性、稳态效率、动态响应及软开关条件的满足情况。通过参数扫描与对比仿真,帮助用户掌握LLC变换器的关键设计要素与优化方法,具备较强的工程指导价值和科研教学意义。; 适合人群:电力电子、电气工程及其自动化等相关专业的高校师生,以及从事高频开关电源、新能源变换器、车载充电机等领域的研发工程师和技术人员。; 使用场景及目标:① 掌握两路并联半桥LLC谐振变换器的建模与仿真方法;② 理解软开关技术在提升变换器效率与降低EMI方面的关键作用;③ 分析谐振参数偏差与分裂电容结构对系统均流特性、增益曲线及软开关范围的影响;④ 支持科研项目中的拓扑验证、控制策略开发与故障工况分析; 阅读建议:建议结合Simulink仿真模型与配套说明文档进行学习,重点关注谐振腔参数设置、驱动时序设计及软开关波形观测;可通过调整谐振电感、电容值或引入参数失配,观察系统行为变化,深入理解LLC变换器的稳定边界与优化设计原则。

双向全桥CLLC谐振变换器仿真模型(Simulink仿真实现)

内容概要:本文系统介绍了双向全桥CLLC谐振变换器的Simulink仿真模型,重点阐述了变频控制、闭环仿真及其与多种电力电子拓扑(如维也纳整流器、DAB变换器、图腾柱PFC等)的联合仿真设计。资源包涵盖2.5kW双向全桥LLC、V2G电动汽车充放电系统、三相PFC、多相交错LLC等多种变换器的仿真案例,并深入展示了三电平VIENNA整流器在双闭环PI控制与SVPWM调制策略下,结合上下电容电压差值补偿实现中点电位平衡的先进控制方法。通过仿真验证,该策略不仅有效维持了800V直流母线电压的稳定,还在动态工况下显著提升了电容电压的均衡度,同时保持了较低的输入电流THD,充分体现了SVPWM与中点平衡控制协同优化的技术优势。; 适合人群:具备电力电子与自动控制理论基础,从事新能源发电、电动汽车、工业电源、微电网等领域的研究生、工程师及科研人员。; 使用场景及目标:① 学习并构建高频谐振变换器(如LLC、CLLC)的Simulink仿真模型,掌握其变频与混合控制策略;② 深入理解并应用中点电位平衡、双闭环PI控制、SVPWM调制等核心技术于VIENNA等三电平变换器中;③ 复现高水平期刊论文中的控制算法,服务于科研项目申报、学术论文撰写或工程产品开发。; 阅读建议:该资源为综合性仿真资料库,建议使用者结合自身研究方向(如电动汽车充电、新能源并网)选择对应案例进行精学,重点关注控制策略的设计逻辑、仿真参数的整定方法以及SVPWM与中点平衡的协同机制,并充分利用附带的计算书和参考文献深化理解,以实现从仿真模型到实际工程应用的顺利转化。

2026最新基于Aria2下载器解决百度网盘限速问题

Aria下载器

全桥LLC谐振(变频+移相混合控制)变换器闭环仿真模型(Simulink仿真实现)

全桥LLC谐振(变频+移相混合控制)变换器闭环仿真模型(Simulink仿真实现)

港股十档行情tick数据,包含逐笔成交与买卖委托快照 逐笔记录含成交时间、价格、成交量、成交方向及委托单类型 十档委托快照提供买卖各十个价位的挂单价格与挂单数量,可观察盘口深度变化 分钟数据以一分钟为

港股十档行情tick数据,包含逐笔成交与买卖委托快照。逐笔记录含成交时间、价格、成交量、成交方向及委托单类型。十档委托快照提供买卖各十个价位的挂单价格与挂单数量,可观察盘口深度变化。分钟数据以一分钟为单位,包含开盘价、最高价、最低价、收盘价、成交量及成交额。历史行情覆盖近十五年,提供完整日线csv表格,字段包含日期、开盘价、最高价、最低价、收盘价、成交量、成交额,部分还包含调整因子或前收盘价。所有数据均为非实时历史数据。 数据源:CMES金融数据库

调用D3D11硬解码和渲染VideoProcessor版本

在https://blog.csdn.net/robothn/article/details/78781321一文中使用shader来显示FFMPEG硬解码后的YUV420P,本文调用D3D11的videoprocessor来进行图像空间变换和尺寸变换,取得了较好的效果。 1.初始化D3D11设备、videodevice等数据结构 FFMPEG调用D3D11硬解码,获取其对应的device,videodevice。。。 FFMPEG使用av_hwdevice_find_type_by_name调用D3d11

zlyadvocate的博客 9288

保姆级教程:用Qlib和LightGBM从零搭建你的第一个AI量化选股策略(附完整代码)

本文提供了一份详细的教程,教你如何使用Qlib和LightGBM从零搭建AI量化选股策略。教程涵盖了环境配置、数据获取、特征工程、模型训练和策略回测等关键步骤,并附有完整代码和常见问题解决方案,适合量化投资初学者快速上手。

weixin_29191081的博客 446
上一篇: Let Go by Pat Flynn
下一篇: Rambo: Last Blood
CodingIsFun
博客等级 码龄8年 37粉丝 240原创
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付:10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值