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EN
The frustrated spin system of quasi-one dimension magnet of Ca3Co2-xMxO6 (M:metal) single crystals has been investigated in a temperature range between 10 K and RT and in a magnetic field range up to 20 T. We aim at the application of the unstable spin state as a flip-flop circuit device using the behavior of the spin frustration in the future. For these purposes, the basic behaviors of the magnetism and the magneto-transport phenomena were studied by the samples of various metals M. The stable state and unstable state of the magneto-resistance were apparently discriminated.
PL
Praca dotyczy badania systemu sfrustrowanego spinu w magnesie Ca3Co2-xMxO6 (M:metal) w temperaturze 10 K i w temperaturze pokojowej. Celem pracy jest zastosowanie niestabilnego stanu spinowego jako "flip-flop" urządzenia. Stany stabilne i niestabilne magnetorezystancji były pozornie rozróżnialne.
EN
Permanent magnets, especially Nd-Fe-B magnets are very important engineering elements that are widely used in many applications such as information, communication, acoustic and medical equipment. Detailed design of electrical and electronics equipment using permanent magnets, requires precise measurement of magnetization characteristics. It is relatively easy to obtain high field strengths in case of short pulses. However, our goal is to achieve long pulse and high fields simultaneously. Such experiment conditions imposes certain requirements on excitation coil construction (taking excitation system energy capabilities into account). Errors influencing the measurements stems from relations between tested material and pick-up sensor and excitation coil structures. This paper presents the analysis of these relations and their influence on material properties measurements accuracy and results obtained in comparison of sensors' structures.
PL
W przypadku badania magnesów często wykorzystuje się pola impulsowe. Celem pracy jest osiągniecie dostatecznie długiego impulsu o dostatecznie dużej wartości. Wymaga to odpowiedniej konstrukcji cewki magnesującej. W artkule przeanalizowano zależność między parametrami badanego materiału a parametrami, głównie dokładnością czujnika i cewki magnesującej.
4
Content available remote Evaluations of Iron-based Material Expressed by Magnetic Transfer Function
38%
EN
We have been investigated a basic concept of material constant evaluation using transformer type probes in an a.c. field range between 20Hz and 200kHz. The probes are consisted of 2 transformers with open magnetic poles attached to the material surface under estimation and attached to the reference material, respectively. The output voltage of each transformer is connected in series and reverse to cancel the offset voltage caused by the leakage flux. The analyses are performed by using a.c. magnetic resistance theory of magnetic circuit. We attained the high sensitivity of conductivity and permeability changes in the material without direct contact as that in d.c. measurements. The transfer function of material in general was defined by the experimental results of the excitation current of the probe, operation frequency and the output voltages, independent of the characteristics of the transformer materials.
PL
Badano koncepcję stałej materiałowej przy badaniu próbki transformatorowej w pasmie 20 Hz do 200 kHz. Próbka składała się z dwóch otwartych transformatorów, z których jeden przyłożony był doi badanego materiału a drugi do materiału porównawczego. Wyjścia połączono szeregowo i przeciwsobnie. Określono funkcję przetwarzania umożliwiającą ocenę badanego materiału.
EN
We investigated the gantry-angle classifier performance with a fluence map using three machine-learning algorithms, and compared it with human performance. Eighty prostate cases were investigated using a seven-field-intensity modulated radiotherapy treatment (IMRT) plan with beam angles of 0°, 50°, 100°, 155°, 205°, 260°, and 310°. The k- nearest neighbor (k-NN), logistic regression (LR), and support vector machine (SVM) algorithms were used. In the observer test, three radiotherapists assessed the gantry angle classification in a blind manner. The precision and recall rates were calculated for the machine learning and observer test. The average precision rate of the k-NN and LR algorithms were 94.8% and 97.9%, respectively. The average recall rate of the k-NN and LR algorithms were 94.3% and 97.9%, respectively. The SVM had 100% precision and recall rates. The gantry angles of 0°, 155°, and 205° had an accuracy of 100% in all algorithms. In the observer test, average precision and recall rates were 82.6% and 82.6%, respectively. All observers could easily classify the gantry angles of 0°, 155°, and 205° with a high degree of accuracy. Misclassifications occurred in gantry angles of 50°, 100°, 260°, and 310°. Machine learning could better classify gantry angles for prostate IMRT than human beings. In particular, the SVM algorithm had a perfect classification of 100%
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