作为一个应届生,应该如何回答 Question Considering all Goals for the year, how did you deliver impact and value to our people, clients, firm and/or society? Briefly share examples of both what you did and how you did it.

时间: 2024-03-28 16:41:10 浏览: 219
作为一个应届生,在过去的一年中,我主要集中精力于学习和发展自己的技能,同时也积极参加各种实践项目和社会活动,以提升自己的能力并为公司和社会做出贡献。 在学习方面,我通过参加各种课程和培训,掌握了最新的行业知识和技能。在实践方面,我参加了公司的项目,通过与团队成员的协作,我贡献了自己的力量,帮助团队顺利完成了项目任务。此外,我也积极参与了一些社会活动,例如志愿者活动等,为社会做出了一些小小的贡献。 总的来说,虽然我是一个应届生,但我相信我的努力和贡献对公司和社会都有一定的影响和价值。
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3)A digital clock consists of a screen to display the time and a dial for setting in turn the year, month, day, hour and minute. Twisting the dial to the left reduces by one the value being changed but twisting it to the right increases it by one. Pushing the dial alters which value is being adjusted. At first, it is the year but after the dial is pushed once, it is the month, then after the dial is pushed again, it is the day and so on. Imagine the clock is represented by a class with attributes year, month, day etc. The following is what the code for a method rotateDialLeft() might look like. public void rotateDialLeft() { if (mode == YEAR_MODE) { year--; } else if (mode == MONTH_MODE) { month--; } else if (mode == DAY_MODE) { day--; } else if (mode == HOUR_MODE) { hour--; } else if (mode == MINUTE_MODE) { minute--; } } The code for rotateDialRight() is similar. Apply the Open-Closed Principle to explain why the above code is unsatisfactory from the design viewpoint, considering the possibility of future change to the code, giving an example of such a change. 5)Give the code required for the classes introduced in question 3), focusing on the code for a method selectState() which changes the value that is being adjusted from years to months. Make it clear in which classes the code is to be found. Assume the existence of other methods that are needed such as getMonthSetUpState(). 8)Suppose that in a multiplayer role-playing game, a class Client has a dependency to an interface Fighter with public methods attack(), defend() and escape(). The game designer now wishes for Client to use a class Wizard with three different but equivalent public methods castDestructionSpell(), shield() and portal(). Explain how it is possible to do this using an appropriate design pattern.

3) The current implementation of the rotateDialLeft() method violates the Open-Closed Principle, which states that software entities (classes, modules, functions, etc.) should be open for extension but closed for modification. This means that we should be able to add new functionality without changing the existing code. In the current code, if we want to add a new mode (e.g. seconds), we would need to modify the existing if-else statements and add a new condition. This violates the Open-Closed Principle. An example of a future change that could require modification of the existing code is if we wanted to add a new mode (e.g. century), we would need to modify the existing code and add a new condition. To fix this, we can use the Strategy pattern to encapsulate the different modes and their behavior and make the code more extensible. 5) Here is the code for the classes introduced in question 3: ``` public interface DialMode { void rotateLeft(); void rotateRight(); void selectState(); } public class YearMode implements DialMode { private int year; public YearMode(int year) { this.year = year; } public void rotateLeft() { year--; } public void rotateRight() { year++; } public void selectState() { // do nothing, already in year mode } } public class MonthMode implements DialMode { private int month; public MonthMode(int month) { this.month = month; } public void rotateLeft() { month--; } public void rotateRight() { month++; } public void selectState() { // switch to day mode int daysInMonth = getDaysInMonth(); DayMode dayMode = new DayMode(daysInMonth); mode = dayMode; } private int getDaysInMonth() { // implementation omitted } } public class DayMode implements DialMode { private int day; public DayMode(int day) { this.day = day; } public void rotateLeft() { day--; } public void rotateRight() { day++; } public void selectState() { // switch to hour mode HourMode hourMode = new HourMode(0); mode = hourMode; } } public class HourMode implements DialMode { private int hour; public HourMode(int hour) { this.hour = hour; } public void rotateLeft() { hour--; } public void rotateRight() { hour++; } public void selectState() { // switch to minute mode MinuteMode minuteMode = new MinuteMode(0); mode = minuteMode; } } public class MinuteMode implements DialMode { private int minute; public MinuteMode(int minute) { this.minute = minute; } public void rotateLeft() { minute--; } public void rotateRight() { minute++; } public void selectState() { // switch to year mode YearMode yearMode = new YearMode(2000); mode = yearMode; } } public class Clock { private DialMode mode; public Clock() { YearMode yearMode = new YearMode(2000); mode = yearMode; } public void rotateDialLeft() { mode.rotateLeft(); } public void rotateDialRight() { mode.rotateRight(); } public void selectState() { mode.selectState(); } } ``` The selectState() method is found in each DialMode implementation. In the MonthMode implementation, it switches to the DayMode, in the DayMode implementation, it switches to the HourMode, in the HourMode implementation, it switches to the MinuteMode, and in the MinuteMode implementation, it switches back to the YearMode. 8) We can use the Adapter pattern to adapt the interface of the Wizard class to the Fighter interface. First, we create an adapter class that implements the Fighter interface and has a reference to a Wizard object: ``` public class WizardAdapter implements Fighter { private Wizard wizard; public WizardAdapter(Wizard wizard) { this.wizard = wizard; } public void attack() { wizard.castDestructionSpell(); } public void defend() { wizard.shield(); } public void escape() { wizard.portal(); } } ``` Now, we can use an instance of the WizardAdapter class wherever we need a Fighter object: ``` Client client = new Client(); Wizard wizard = new Wizard(); Fighter wizardAdapter = new WizardAdapter(wizard); client.setFighter(wizardAdapter); ``` In this example, the Client class has a dependency on the Fighter interface. We create a Wizard object and wrap it in a WizardAdapter object that implements the Fighter interface. We then set the wizardAdapter as the fighter for the client. When the client calls the attack(), defend(), or escape() method, it will actually call the corresponding method on the Wizard object through the adapter. This allows us to use the Wizard class as if it implements the Fighter interface, without changing the interface of the Fighter or the implementation of the Wizard.

Requirement Considering the relationship of drought adaptability with respect to the number of species in a plant community, your task is to explore and better understand this phenomenon. Specifically, you should: • Develop a mathematical model to predict how a plant community changes over time as it is exposed to various irregular weather cycles. Include times of drought when precipitation should be abundant. The model should account for interactions between different species during cycles of drought. • Explore what conclusions you can draw from your model with respect to the long-term interactions of a community of plants and the larger environment. Consider the following questions: • How many different plant species are required for the community to benefit and what happens as the number of species grows? • How do the types of species in the community impact your results? • What are the impact of a greater frequency and wider variation of the occurrence of droughts in future weather cycles? If droughts are less frequent, does the number of species have the same impact on the overall population?

答:为了探索并更好地理解旱灾适应能力与植物群落物种数量之间的关系,我们的任务是开发一个数学模型,预测植物群落在暴露于不同的不规则气候周期中如何随时间变化。模型应该考虑在干旱周期中不同物种之间的相互作用。此外,还要探究从模型中可以得出哪些结论,关于植物群落与更大的环境之间的长期相互作用,特别是针对以下问题:植物群落需要多少种不同的物种才能受益,随着物种数量的增加会发生什么?群落中物种的类型如何影响结果?未来气候周期中干旱的频率和差异性越大,对整体植物种群的影响会有什么样的变化?如果干旱较少,物种数量对整体植物群落的影响是否一样?
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Please revise the paper:Accurate determination of bathymetric data in the shallow water zone over time and space is of increasing significance for navigation safety, monitoring of sea-level uplift, coastal areas management, and marine transportation. Satellite-derived bathymetry (SDB) is widely accepted as an effective alternative to conventional acoustics measurements over coastal areas with high spatial and temporal resolution combined with extensive repetitive coverage. Numerous empirical SDB approaches in previous works are unsuitable for precision bathymetry mapping in various scenarios, owing to the assumption of homogeneous bottom over the whole region, as well as the limitations of constructing global mapping relationships between water depth and blue-green reflectance takes no account of various confounding factors of radiance attenuation such as turbidity. To address the assumption failure of uniform bottom conditions and imperfect consideration of influence factors on the performance of the SDB model, this work proposes a bottom-type adaptive-based SDB approach (BA-SDB) to obtain accurate depth estimation over different sediments. The bottom type can be adaptively segmented by clustering based on bottom reflectance. For each sediment category, a PSO-LightGBM algorithm for depth derivation considering multiple influencing factors is driven to adaptively select the optimal influence factors and model parameters simultaneously. Water turbidity features beyond the traditional impact factors are incorporated in these regression models. Compared with log-ratio, multi-band and classical machine learning methods, the new approach produced the most accurate results with RMSE value is 0.85 m, in terms of different sediments and water depths combined with in-situ observations of airborne laser bathymetry and multi-beam echo sounder.

用中文翻译:A coupled three-dimensional model is developed to study the internal parameter distributions of the MBPP fuel cell stack, considering fluid dynamics, electro-chemical reactions, multi-species mass transfer, twophase flow of water and thermal dynamics. The model geometry domains include anode MBPP, anode gas wavy flow field (5 parallel flow channels), anode GDL, anode catalyst layer (CL), membrane, cathode CL, cathode GDL, cathode gas wavy flow field (5 parallel flow channels), cathode MBPP and the two-layered coolant wavy flow fields at anode/cathode sides. According to the stack design, the design parameters of wavy flow fields for anode and cathode sides are the same but the phase deviation between their wave cycles presents 180◦. The two wavy flow fields of coolant, at the respective back sides of the anode and cathode plates, form the intercrossed two-layered coolant flow fields inside the MBPP, due to the phase difference of 180◦ between the wave cycles (Fig. 3). The mismatched flow field patterns between the neighbored fluid flows lead to complicated geometry and mesh building. The presented model geometry is divided into several layers (xz plane) according to the different domain materials so that the thin metallic plate and fluid domains with complicated 3D morphologies could be finely meshed layer by layer. As the real geometry of the experimental stack is too large for calculation, the modeled flow field consists of 5 parallel wavy channels, each of which includes 2 wave periods and corresponding inlet/outlet portions as well. To study the detailed thermal behavior of the presented design, the two-layered coolant fluid flow at the back side of the anode plate is considered and so is for the cathode plate. The counter flow operation is conducted where the air flows at the same direction with coolant but the opposite with hydrogen, shown in Fig. 3 (b).

Algorithm 1: The online LyDROO algorithm for solving (P1). input : Parameters V , {γi, ci}Ni=1, K, training interval δT , Mt update interval δM ; output: Control actions 􏰕xt,yt􏰖Kt=1; 1 Initialize the DNN with random parameters θ1 and empty replay memory, M1 ← 2N; 2 Empty initial data queue Qi(1) = 0 and energy queue Yi(1) = 0, for i = 1,··· ,N; 3 fort=1,2,...,Kdo 4 Observe the input ξt = 􏰕ht, Qi(t), Yi(t)􏰖Ni=1 and update Mt using (8) if mod (t, δM ) = 0; 5 Generate a relaxed offloading action xˆt = Πθt 􏰅ξt􏰆 with the DNN; 6 Quantize xˆt into Mt binary actions 􏰕xti|i = 1, · · · , Mt􏰖 using the NOP method; 7 Compute G􏰅xti,ξt􏰆 by optimizing resource allocation yit in (P2) for each xti; 8 Select the best solution xt = arg max G 􏰅xti , ξt 􏰆 and execute the joint action 􏰅xt , yt 􏰆; { x ti } 9 Update the replay memory by adding (ξt,xt); 10 if mod (t, δT ) = 0 then 11 Uniformly sample a batch of data set {(ξτ , xτ ) | τ ∈ St } from the memory; 12 Train the DNN with {(ξτ , xτ ) | τ ∈ St} and update θt using the Adam algorithm; 13 end 14 t ← t + 1; 15 Update {Qi(t),Yi(t)}N based on 􏰅xt−1,yt−1􏰆 and data arrival observation 􏰙At−1􏰚N using (5) and (7). i=1 i i=1 16 end With the above actor-critic-update loop, the DNN consistently learns from the best and most recent state-action pairs, leading to a better policy πθt that gradually approximates the optimal mapping to solve (P3). We summarize the pseudo-code of LyDROO in Algorithm 1, where the major computational complexity is in line 7 that computes G􏰅xti,ξt􏰆 by solving the optimal resource allocation problems. This in fact indicates that the proposed LyDROO algorithm can be extended to solve (P1) when considering a general non-decreasing concave utility U (rit) in the objective, because the per-frame resource allocation problem to compute G􏰅xti,ξt􏰆 is a convex problem that can be efficiently solved, where the detailed analysis is omitted. In the next subsection, we propose a low-complexity algorithm to obtain G 􏰅xti, ξt􏰆. B. Low-complexity Algorithm for Optimal Resource Allocation Given the value of xt in (P2), we denote the index set of users with xti = 1 as Mt1, and the complementary user set as Mt0. For simplicity of exposition, we drop the superscript t and express the optimal resource allocation problem that computes G 􏰅xt, ξt􏰆 as following (P4) : maximize 􏰀j∈M0 􏰕ajfj/φ − Yj(t)κfj3􏰖 + 􏰀i∈M1 {airi,O − Yi(t)ei,O} (28a) τ,f,eO,rO 17 ,建立了什么模型

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