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The purpose of this paper is to present a magnetic contactless displacement sensor with liftoff compensation. The sensor consists of two‐axis Hall sensor, moving permanent magnet (PM) and ferromagnetic substrate which is considered as a magnetic flux concentrator.

The two Hall‐effect sensors are used to detect the B_X and B_Y induced by the moving PM. The B_X and B_Y curves reflect the nature of the liftoff and the displacement of the inducing PM, respectively. Then the model of the displacement sensor, based on the facing current method, is constructed. Finally, the finite element method is used to compute the characteristics of B_X and B_Y.

The B_Y curve can be corrected according to the liftoff distance of Hall‐effect sensor distinguished by the B_X trough value. Therefore, the influence of the liftoff on the output signal can be eliminated when B_Y curve is corrected.

The paper focused on the design of a contactless displacement sensor with compensated liftoff performance for the control measurement technology in general and for automotive engineering in particular.

Wire and arc additive manufacturing (WAAM) technology-based cold metal transfer (CMT) to produce large aluminum alloy parts has become more and more popular. In WAAM, wire is the only raw material. The purpose of this paper is to study the effect of wire composition on the microstructure and properties of the ZAlCu5MnCdVA alloy deposited by WAAM.

Two thin-walled ZAlCu5MnCdVA alloys with different wire compositions were prepared by WAAM. The copper contents were 4.7% (Al-4.7Cu) and 5.0% (Al-5.0Cu), respectively. The microstructure, element distribution and evolution of precipitated phases of the two samples were characterized and analyzed by optical microscopy, scanning electron microscopy and transmission electron microscopy. Hardness and tensile properties of samples were tested, and strengthening mechanism was analyzed in detail.

The results show that grain sizes of Al-4.7Cu and Al-5.0Cu are less than 40 μm. The average mass fraction of Cu in Al matrix and the number of nanometer scale θ'' and θ' phases are the main factors affecting the tensile properties of Al-Cu alloy. Tensile properties of two materials show different characteristics at room temperature and high temperature. Al-5.0Cu is better at room temperature and Al-4.7Cu is better at high temperature. The yield strength (YS), ultimate tensile strength (UTS) and elongation in the x direction of Al-5.0Cu at room temperature are 451 ± 10.2 MPa, 486 ± 10.2 MPa and 9 ± 0.5%, respectively. The YS, UTS and elongation in the x direction of Al-4.7Cu at high temperature are 290 ± 4.5 MPa, 356 ± 7.0 MPa and 13% ± 0.2%, respectively.

Experiments show that the increase of Cu element can improve the properties at room temperature of the ZAlCu5MnCdVA alloy by WAAM, but its properties at high temperature decrease.

Based on the analysis of the data of the landscape live performances which have already been performed, this paper combs the development process of the live performances and other information of the performance types so that the public can have a clearer and clearer understanding of the live performances. Through time-frequency domain analysis method, the characteristic elements of waveform music are extracted and classified into sub-music segments in different rough emotional domains according to certain classification methods. And the application weights of the feature values of each music feature are defined in different emotion domains, which makes the input of the system more rational. For the output of the light action control data, this article has a certain interpretation of the DMX512 data, making the interpretation of the output more intuitive. The basic characteristics of music include speed, mode, beat, tone, volume, and the pitch, pitch, and length of notes. Therefore, in the future, the method of realizing music visualization in architectural lighting design and the method of realizing interaction with people will have more possibilities.

The purpose of this paper is to explore the phenomenon of burnout during early career among knowledge workers in information technology (IT) services industry in India.

The grounded theory research design was used to explore the research phenomenon. The study was based on the analysis of 43 in-depth interviews from the employees, managers and human resource professionals in IT services industry in India. Purposeful and theoretical sampling designs were used to locate the participants for the study. Grounded theory analytical procedures – open, axial and selective coding – were used to analyze and interpret the interview narratives. Atlas ti version 5.0. was used for qualitative data analysis.

The analysis of the interviews with the young knowledge workers reveal the following as the reasons for their burnout during early career: poor integration with the job and the organization at large, underemployment, stressful job and exhausting work environment, fear and insecurity of replacement of talent and downsizing. Strategies are discussed to deal with burnout situations among the young knowledge workers for individual and organizational well-being.

The findings of the study are applicable to organizations such as the IT services industry and thus the research outcome cannot be generalized. The study includes lived experiences of employees only during their early career.

The findings are relevant and useful in the practice domain as they are grounded in field reality. It provides directions for managerial and organizational practices in preventing burnout in early career among knowledge workers.

The paper is original and the present study is among the first attempts to investigate the nature of burnout through qualitative inquiry.