解封的话，目前的方法是在所注册区域的战网填写表单申诉，提供相应的支付凭证即可。若是战网登陆不了，可以使用网页版登陆申诉，记得需要使用全局梯子。表单需要提供的信息主要有以上内容。
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A warning time of five ms is more than enough for that Disruption Mitigation Technique (DMS) to take effect on the J-TEXT tokamak. To make sure the DMS will choose impact (Large Gas Injection (MGI) and potential mitigation procedures which would just take a longer time), a warning time more substantial than ten ms are thought of helpful.
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Moreover, there remains additional probable for building far better use of knowledge combined with other sorts of transfer Mastering approaches. Building complete use of information is The main element to disruption prediction, specifically for future fusion reactors. Parameter-based transfer Understanding can do the job with An additional system to further Enhance the transfer general performance. Other strategies which include instance-based mostly transfer Mastering can guide the production of the confined target tokamak info Utilized in the parameter-dependent transfer method, to improve the transfer performance.
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All discharges are split into consecutive temporal sequences. A time threshold just before disruption is described for various tokamaks in Desk 5 to point the precursor of a disruptive discharge. The “unstable�?sequences of disruptive discharges are labeled as “disruptive�?along with other sequences from non-disruptive discharges are labeled as “non-disruptive�? To determine enough time threshold, we very first obtained a time span based upon prior conversations and consultations with tokamak operators, who presented precious insights in to the time span inside of which disruptions can be reliably predicted.
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Mixing details from equally concentrate on and existing devices is A method of transfer Studying, occasion-based transfer Understanding. But the knowledge carried by the constrained details from your concentrate on device may very well be flooded by facts from the prevailing machines. These will work are completed among the tokamaks with related configurations and sizes. Nonetheless, the hole between potential tokamak reactors and any tokamaks existing nowadays is rather large23,24. Measurements with the machine, operation regimes, configurations, aspect distributions, disruption leads to, characteristic paths, and various factors will all outcome in numerous plasma performances and diverse disruption procedures. So, In this particular work we selected the J-TEXT along with the EAST tokamak which have a substantial change in configuration, operation routine, time scale, feature distributions, and disruptive brings about, to demonstrate the proposed transfer Studying approach.
fifty%) will neither exploit the minimal information and facts from EAST nor the final expertise from J-TEXT. A click here single possible rationalization would be that the EAST discharges will not be representative enough and also the architecture is flooded with J-Textual content details. Scenario 4 is educated with twenty EAST discharges (10 disruptive) from scratch. To avoid about-parameterization when schooling, we used L1 and L2 regularization for the product, and altered the educational rate agenda (see Overfitting managing in Strategies). The performance (BA�? sixty.28%) suggests that using just the limited info from the concentrate on area isn't plenty of for extracting common attributes of disruption. Scenario 5 takes advantage of the pre-skilled product from J-Textual content immediately (BA�? 59.44%). Utilizing the source product alongside would make the final information about disruption be contaminated by other know-how particular to the resource domain. To conclude, the freeze & high-quality-tune technique will be able to attain an analogous functionality applying only twenty discharges With all the complete details baseline, and outperforms all other instances by a considerable margin. Applying parameter-primarily based transfer Finding out system to combine equally the resource tokamak model and knowledge with the focus on tokamak effectively may possibly assistance make better use of knowledge from the two domains.