module test_RAM_static_BD ();// Demonstrate write / read capability. reg bus_driver，reg CS_b, WE_b, OE_b; wire data_bus = ((WE_b == 0) && (OE_b == 1)) ? bus_driver : 1'bz; RAM_static_BD M1 (data_bus, CS_b, OE_b, WE_b); initial #4500 $finish; initial begin CS_b = 1; bus_driver = 1; OE_b = 1; #500 CS_b = 0;#500 WE_b = 0;#100 bus_driver = 0; #100 bus_driver = 1;#300 WE_b = 1; #200 bus_driver = 0; #300 OE_b = 0; #200 OE_b = 1;#200 OE_b = 0; #300 OE_b = 1; WE_b = 0;#200 WE_b = 1; #200 OE_b = 0; #200 OE_b = 1; #500 CS_b = 1;#500 bus_driver = 0; end initial begin #3600 WE_b = 1; OE_b = 1; #200 WE_b = 0; OE_b = 0; end endmodule

Competency: Planning and organising (essential) – Is methodical. Able to plan own work over short timescales for routine or familiar tasks and processes. Has a good attention to detail to follow strict instructions. Is punctual and reliable. (必填) Description: In the context of exam, invigilators must plan their work well because they will handle lots of tasks and exam information/materials as well as ensure the strictest security concerning test materials while he/she needs to monitor candidates’ behaviour all the time. We need invigilators who can stay organised and focus on the tasks at hand. Organisational skills can include general organising, time management and coordinating resource. Please provide example/evidence to demonstrate your match with the criterion.

我曾经在考试期间担任监考员，我必须计划和组织自己的工作，以便确保考试安全和顺利进行。我在管理资源，分配任务，保持考试流程和监督考生行为方面表现出良好的组织能力。我还坚持准确，及时地完成考试中的任务，...

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帮我润色论文。In this paper, we propose a balancing training method to address problems in imbalanced data learning. To this end, we derive a new loss used in the balancing training phase that alleviates the influence of samples that cause an overfitted decision boundary. The proposed loss efficiently improves the performance of any type of imbalance learning methods. In experiments on multiple benchmark data sets, we demonstrate the validity of our method and reveal that the proposed loss outperforms the state-of-the-art cost-sensitive loss methods. Furthermore, since our loss is not restricted to a specific task, model, or training method, it can be easily used in combination with other recent resampling, meta-learning, and cost-sensitive learning methods for class-imbalance problems. Our code is made available at https://github.com/pseulki/IB-Loss.

在本文中，我们提出了一种平衡训练方法，以解决不平衡数据学习中的问题。为此，我们在平衡训练阶段推导出一种新的损失，以减少导致过度拟合决策边界的样本的影响。所提出的损失有效提高了任何类型的不平衡学习方法的...

Recent color transfer methods use local information to learn the transformation from a source to an exemplar image, and then transfer this appearance change to a target image. These solutions achieve very successful results for general mood changes, e.g., changing the appearance of an image from “sunny” to “overcast”. However, such methods have a hard time creating new image content, such as leaves on a bare tree. Texture transfer, on the other hand, can synthesize such content but tends to destroy image structure. We propose the first algorithm that unifies color and texture transfer, outperforming both by leveraging their respective strengths. A key novelty in our approach resides in teasing apart appearance changes that can be modeled simply as changes in color versus those that require new image content to be generated. Our method starts with an analysis phase which evaluates the success of color transfer by comparing the exemplar with the source. This analysis then drives a selective, iterative texture transfer algorithm that simultaneously predicts the success of color transfer on the target and synthesizes new content where needed. We demonstrate our unified algorithm by transferring large temporal changes between photographs, such as change of season – e.g., leaves on bare trees or piles of snow on a street – and flooding.翻译为中文

最近的颜色转换方法利用局部信息来学习从源图像到示例图像的转换，并将这种外观变化传递到目标图像。这些解决方案在一般情况下取得了非常成功的结果，例如将图像的外观从“晴朗”变为“阴天”。...

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To provide a more detailed explanation or demonstrate how to interact with this location, we would need context on what you'd like to do (e.g., read, write, or manage files). For example, if you ...

翻译这段英文，并解释： Deploying convolutional neural networks (CNNs) on em-bedded devices is difficult due to the limited memory and computation resources. The redundancy in feature maps is an important characteristic of those successful CNNs, but has rarely been investigated in neural architecture de-sign. This paper proposes a novel Ghost module to generate more feature maps from cheap operations. Based on a set of intrinsic feature maps, we apply a series of linear transformations with cheap cost to generate many ghost Feature maps that could fully reveal information underlying intrinsic features. The proposed Ghost module can be taken as a plug-and-play component to upgrade existing convo-lutional neural networks. Ghost bottlenecks are designed to stack Ghost modules, and then the lightweight Ghost-Net can be easily established. Experiments conducted on benchmarks demonstrate that the proposed Ghost module is an impressive alternative of convolution layers in baseline models, and our GhostNet can achieve higher recognition performance (e.g. 75.7% top-I accuracy) than MobileNetV3 with similar computational cost on the ImaseNet ILSVRC2012 classification dataset.

部署卷积神经网络（CNN）到嵌入式设备上是困难的，因为这些设备的内存和计算资源有限。特征图中的冗余是成功的CNN的一个重要特征，但在神经结构设计中很少被研究。本文提出了一种新颖的 Ghost 模块，可以通过廉价的...

Write a procedure div-series that divides two power series. div-series should work for any two series, provided that the denominator series begins with a non-zero constant term. (If the denominator has a zero constant term, then div-series should signal an error.) You may find it useful to reuse some answer from a previous exercise in this problem set. Turn in a listing of your procedure along with three or four wellchosen test cases (and demonstrate why the answers given by your division are indeed the correct answers)（piease use lisp）

In test case 1, we divide the constant series 1 by the series (1 - x), which should result in the series of all 1s. In test case 2, we divide the series (1 - x) by the series (1 + x), which ...

In this paper, we have combined background information with 3D mapping of foregrounds and proposedan occlusion-free model for multiple objects tracking in a complex scenario. As a result, designing a trainedobject detector that does not overlook objects is tough. We can get noisy candidate object locations bysubtracting the background. To get an acceptable quality foreground object, we analyzed and processedeach noisy candidate region. We use the background information model to generate a graph embeddingtracker for each prospective region for localization. Objects that move in a sequential manner arelocalized and their states are updated frame by frame. A basic data relationship between backgroundreference objects and to manage size variations, object fragmentation, occlusions, and lost tracks,background subtraction is used to find targets. Because both graph embedding technique and backgroundremoval could produce errors at numerous times, object states are determined utilizing the informationfrom both. Finally, the system is tested using videos of pedestrians, moving automobiles, and otherobjects from various datasets. The benefits of adopting a robust visual tracker based on backgroundinformation in a MOT framework are demonstrated by simulation results, which demonstrate that ourtechnique is competitive even when data association is minimal.翻译成中文

在本文中，我们将背景信息与前景的3D映射相结合，提出了一种在复杂场景中无遮挡多物体跟踪的模型。因此，设计一个不会忽略物体的训练对象检测器是很困难的。我们可以通过减去背景来获取嘈杂的候选物体位置。...

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To demonstrate how this might be used, let's assume we're configuring a Webpack build process: javascript // webpack.config.js module.exports = { module: { rules: [ { test: /\.(ts|js|vue)$/, ...

请翻译：The fabrication process of inverted pyramids on Si surface involved two steps, i.e., diamond tip indentation and selective etching in HF/ HNO3 mixtures. Consider the fabrication process for the inverted triangular pyramids as an example, as demonstrated in Fig. 1a. First, a Berkovich diamond indenter was used for conducting indentation process on an in-situ nanomechanical test system (TI750, Hysitron Inc., USA). Then, the Si wafers with indents were immersed in a mixture of HF and HNO3 solution. As a result, the depth of the indent rapidly increased from ~ 30 to 360 nm after the etching in HF/HNO3 mixtures for 10 s, forming inverted pyramids from indented regions in situ. To demonstrate fabrication flexibility of inverted Si architecture produced by the proposed selective etching, indentation experiments were carried out using a Vickers indenter

用Berkovich金刚石入射器在原位纳米力学测试系统（TI750，Hysitron Inc.，美国）上进行入射过程，然后将入射后的硅片浸入HF和HNO3混合液中。结果，在HF/HNO3混合液中腐蚀10 s后，入射处的深度会从~ 30 nm迅速增加到...

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