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    Yang Ze 楊澤,N'aie pas de doute

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    Recueil de poèmes de Yang Ze, traduction du chinois (Taiwan) vers le français par Mélie Chen et Tan-Ying Chou. Préface de Tan-Ying Chou et Mélie Chen, p.7-14

    Iterative Learning Control with Mixed Constraints for Point-to-Point Tracking

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    Iterative learning control is concerned with tracking a reference trajectory defined over a finite time duration, and is applied to systems which perform this action repeatedly. However, in many application domains the output is not critical at all points over the task duration. In this paper the facility to track an arbitrary subset of points is therefore introduced, and the additional flexibility this brings is used to address other control objectives in the framework of iterative learning. These comprise hard and soft constraints involving the system input, output and states. Experimental results using a robotic arm confirm that embedding constraints in the ILC framework leads to superior performance than can be obtained using standard ILC and an a priori specified reference

    Fish species recognition using convolutional neural network / Tan Ying Ying

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    Fish Recognition using machine learning is one of the significant breakthroughs that could be achieved by marine researchers and marine scientists. With the advancement of the machine learning in marine field, some of the problems that perplexed researchers can be solved especially in data collection. Application of machine learning to marine field is still immature, many aspects still need to be improved. Differentiating between two fish species with similar appearance is relatively challenging. On top of that, the angle of fish in the images and the background of the images can cause confusion to the recognition system. Therefore, it is quite challenging to build a fish recognition system. This study focuses on designing a fish recognition system by using Convolutional Neural Network (CNN). The proposed method employs Network-in-Network (NIN) model for fish recognition. NIN model using Multilayer Perceptron (Mlpconv) instead of linear filter and apply Global Average Pooling (GAP) for the last pooling layers. The result of NIN is then compared with a 3 layers CNN. To verify the utility of the proposed model, a set of data is prepared for prediction after training. The performance of the model assessed based on the F1-score of the test data. The accuracy of the developed system is 83%

    METHOD FOR PREPARING CATALYST FOR ELECTROCHEMICAL CARBON DIOXIDE REDUCTION

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    구리(Cu)가 유기 리간드로 연결되고 코발트(Co)가 도핑된 금속유기골격체(MOF)를 이용하여, 전기화학적 이산화탄소 환원 반응의 선택성과 수율을 모두 높일 수 있는 촉매를 제조할 수 있다. 또한 상기 촉매에서 구리 중의 코발트의 도핑량을 다양하게 조절함으로써 전기화학적 이산화탄소 환원 특성을 필요에 맞게 제어할 수 있다

    Language, nations and multilingualism: questioning the Herderian ideal

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    Language, Nations, and Multilingualism explores the legacy of Herder’s ideas about the relationship between language and nationalism in the post-colonial world. Focusing on how anti-colonial and post-colonial nations reconcile their myriad multilingualisms with the Herderian model of one language-one nation, it shows how Herder’s model is both attractive and problematic for such nations.Why then does the Herderian model have such valency? How has the Herderian ideal of one nation-one language continued to survive beneath the uncomfortable resolution struck by new multilingual nations as they create fictions of a singular national mother tongue? To what extent is Herder still relevant in our contemporary world? How have different nations negotiated the Herderian ideal in different ways? What does the way in which multilingual post-colonial nations deal with this crisis tell us about a possible alternative framework for understanding the relationship between language and nation?By approaching this investigation from diverse archives across Asia, Africa, Europe, Latin America, and the Caribbean, Language, Nations, and Multilingualism proposes answers to the aforementioned questions from a global perspective that takes into account the specificities of a range of colonial experiences and political regimes. And by extending the discussion backwards in time to offer a more historical reading of the making of modern nations, it allows us to see how multilingualism has always disrupted constructions of monoglot nations.<br/

    Point-to-Point Iterative Learning Control with Mixed Constraints

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    Iterative learning control is concerned with tracking a reference trajectory defined over a finite time duration, and is applied to systems which perform this action repeatedly. In this paper iterative learning schemes are developed to address the case in which the output is only critical at certain time instants. This freedom makes it possible to incorporate both hard and soft constraints into the control scheme. Experimental results confirm practically and performance

    Questioning the Herderian ideal 1

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    This chapter outlines Herder’s philosophy on language and the nation. It attempts to explain how even though the Herderian claim has been a monolingual one, curiously, at the same time, Herder has also been lauded as a trailblazer for promoting linguistic diversity. This chapter therefore is an exposition of the complexities that surround the Herderian ideal of language and nationalism. Why does the Herderian model continue to have valency in our modern contemporary world? How has the Herderian ideal of one nation-one language continued to survive beneath the uncomfortable resolution struck by new multilingual nations as they create fictions of a singular national mother tongue? How have different nations negotiated the Herderian ideal in different ways? This introduction draws from the contributions to this volume to address the afterlife of Herderian linguistic nationalism by looking at Herder across different times, space, and academic fields
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