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  • Computational+Intelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標(biāo)簽: Computational Intelligence

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Deep-Learning-with-PyTorch

    We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.

    標(biāo)簽: Deep-Learning-with-PyTorch

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Embeddings in Natural Language Processing

    Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.

    標(biāo)簽: Embeddings Processing Language Natural in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Foundations of Data Science

    Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory.

    標(biāo)簽: Foundations Science Data of

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • 基于Multisim和LabVIEW的虛實結(jié)合數(shù)字電路實驗教學(xué)

    實驗教學(xué)一直是工科教學(xué)中不可或缺的組成部分,對培養(yǎng)學(xué)生的動手能力,獨立思考能力,創(chuàng)新思維與發(fā)散思維具有重要的作用。針對目前電路教學(xué)實驗中電路仿真實驗與實物電路實驗各自獨立,無法統(tǒng)一問題,提出將仿真電路實驗與實物電路實驗有機的結(jié)合同步操作,并使用Web發(fā)布實現(xiàn)遠程實驗操作。采用Multisim作為電路實驗仿真平臺,NI Eiviss II作為實物電路實驗硬件平臺,運用LabVIEW整合Multisim電路仿真實驗與實物電路實驗,實現(xiàn)仿真與實物實驗有機結(jié)合,兩種實驗可同步進行。學(xué)生在仿真實驗中先可探索實驗,然后做實物實驗。同時運用LabVIEW開發(fā)出實驗過程人機交互操作接口界面,使用過程中效果良好。Experimental teaching has always been an indispensable part of engineering education.And it always plays an important role in cultivating students'practical ability,independent thinking ability,innovative thinking and divergent thinking.But simulation experiment and physical experiment cannot be unified in the circuit teaching experiment at present.In order to solve this problem,this paper proposes to combine organically the simulation circuit experiment with physical circuit experiment,and synchronously operate them.This paper uses the WEB publishing to achieve remote experimental operation.Multisim is used as the circuit simulation platform,and NI Eiviss II is used as the physical circuit hardware platform.Multisim circuit simulation experiment and physical circuit experiment are implemented by LabVIEW to realize the combination of simulation experiment and physical experiment.Students do explore experiments in simulation experiment firstly,and then do physical experiment.And this paper uses LabVIEW to develop the experimental man-machine interface.

    標(biāo)簽: multisim labview

    上傳時間: 2022-04-05

    上傳用戶:

  • 高精度雙向DC電源電流采樣電路設(shè)計

    為適應(yīng)雙向DC/DC功率變換的電流采樣需求,一種高精度高邊電流采樣電路被提出。其基本思想是在功率電路的高邊串入采樣電阻,借助電流鏡原理并引入偏置電流電路,將雙向電流均轉(zhuǎn)換為正向電壓輸出。通過理論分析與仿真結(jié)合的方法對電流鏡采樣原理及4種不同的偏置電流電路方案進行對比,最后通過實驗數(shù)據(jù)驗證了高精度高邊電流采樣電路的有效性。實驗數(shù)據(jù)表明,該采樣電路可在-25~75℃的溫度工作范圍內(nèi),針對-10~+10 A范圍內(nèi)的電流采樣實現(xiàn)優(yōu)于5%的采樣精度。Current sensing plays an important role in controlling,monitoring or protection functions of power systems.To meet the current sensing requirement of bidirectional DC/DC converters,a high-accuracy bidirectional current sensing circuit is proposed.The proposed current sensing circuit inserts a resistor in the path of the current to be sensed,while the current mirror and biased current circuit are introduced.Therefore,the bidirectional current can be expressed by positive voltage.By theoretical analysis and simulation,the sampling theory is analyzed and four biased current circuits are compared.At last,experimental results verified the proposed method.It is demonstrated that the proposed current sensing circuit can achi...

    標(biāo)簽: 雙向DC電源 電流采樣

    上傳時間: 2022-04-22

    上傳用戶:

  • 1MHz換能器驅(qū)動電路的設(shè)計

    超聲波換能器作為一種實用的檢測手段,能實現(xiàn)聲波所攜帶的信息和電能之間轉(zhuǎn)換。它的性能優(yōu)良,價格低廉,操作方便,易于調(diào)試,因此在工農(nóng)業(yè)生產(chǎn)中發(fā)揮著重要的作用。但目前換能器驅(qū)動電路的發(fā)射頻率多為40 kHz,本文針對1 MHz的超聲波換能器電路進行了設(shè)計,主要介紹了它的發(fā)射驅(qū)動電路和接收驅(qū)動電路的設(shè)計方案,并對它們的功能進行了詳細(xì)地說明。最后搭建實驗平臺,并對電路的輸入、輸出模塊進行了測試。實驗結(jié)果表明,換能器電路運行良好,可以為超聲波高精度測量領(lǐng)域的應(yīng)用提供參考。As a practical means of detection, ultrasonic transducer can realize the conversion between theinformation carried by sound wave and electric energy.It has the advantages of excellent performance,low cost, convenient operation and debugging, so plays an important role in industrial and agriculturalproduction.However, the transmitting frequency of the driving circuit for most transducer is 40 kHz.Thecircuit of 1 MHz ultrasonic transducer is designed In this paper. It mainly introduces the emissive drivingcircuit and the receiving circuit design and the detailed function of them. Finally, the experimentalplatform is built, and the circuit of input and output were tested. Experiments show that the transducer' s...

    標(biāo)簽: 換能器 驅(qū)動電路

    上傳時間: 2022-04-28

    上傳用戶:

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