Due to complex surface conditions,geological conditions and blank exploration of the west slope in Jilin oilfield.The data processing is the difficulty during the Jilin oilfield processing history.According to the characteristics of the data,we explore and apply sets of processing system.A set of 2-D seismic data processing method is developed for complex surface conditions.
Classroom teaching is to promote the main that the students develop.The effectiveness of classroom teaching is the teaching of life,have a direct bearing on the quality of teaching and personnel training,to improve the effectiveness of classroom teaching is the eternal pursuit of the objectives of teacher.
According to the actual business requirements of a production data statistics, this paper designs and implements a production visual report subsystem. The system mainly applies Echarts technology to realize the report visualization, and adopts Sringboot framework to separate the web page and the server. This system solves the problems of poor real-time and low flexibility which exist in original manual statistics and reporting. It can help administrative staffs to quickly obtain information from massive production data, and it is easier for managers to find the changing trend of manufacturing data and quality data.
Objective To explore the effect of using Delphi method and analytic hierarchy process to construct the competency evaluation index of psychiatric nursing staff. Methods Using the questionnaire designed by the research team,the Delphi expert consultation was conducted on 23 experts who directly or indirectly engaged in psychiatric nursing work in Beijing. The weight of each index was calculated by analytic hierarchy process, and the evaluation index system of core competence of psychiatric nursing staff was established. Results The authority coefficient of the two rounds of consultation was 0.848 and 0.888 respectively, and the coordination coefficient of expert opinions in the two rounds of consultation was statistically significant(P<0.05). The competency evaluation index system of psychiatric nursing staff includes 5 first-class indicators, 15 second-class indicators and 64 third-class indicators. The importance score of all the indicators ranges from3.12 to 4.97. Conclusion It is scientific enough to use Delphi method and analytic hierarchy process successively to establish working competence evaluation index of psychiatric nursing staff, which is in line with the requirements of the development of this work. However, it still needs to be further verified by practitioners on a larger scale.
A blind sparse source separation algorithm was proposed by using the particle swarm optimization.The proposed algorithm first estimates the mixing matrix by using the particle-swarm-optimization-based clustering algorithm.Then the particle swarm optimization which always meets the constraints except for initialsing all particles to be feasible solutions in solving linearly constrained optimization problem is applied to the linearly constrained optimization problem for recovering the sparse sources.The presented algorithm is characterized by high accuracy and less computation.Simulation results illustrate the efficiency and the good performance of the algorithm.
Condition-based maintenance (CBM) is a systematic project, and the information coming from equipments condition, water and market must be all taken into account. In order to reduce the equipment downtime and the maintenance cost, the maintenance strategy in hydropower plants has to be progressively changed from time-based maintenance (TBM) to CBM. It is very important issues that how to achieve the harmony among the operator, expert and the computer, maintenance oriented distributed cooperative decision supported system (MoDCDSS) for hydropower plants is presented in this paper. The principle and the method of distributed cooperative diagnosis decision making are discussed, which adopt three technologies, such as computer supported cooperative work (CSCW), agent and virtual reality (VR). The systematic goal, framework and function are particularly introduced, and the implementation method of hardware and software is proposed. The MoDCDSS has been already put into operation in Gezhouba hydropower plants, the result shows good.
Effective writing is important for communicating science ideas, and for writing-to-learn in science. This paper investigates lab reports from a large-enrollment college physics course that integrates scientific reasoning and science writing. While analytic rubrics have been shown to define expectations more clearly for students, and to improve reliability of assessment, there has been little investigation of how well analytic rubrics serve students and instructors in large-enrollment science classes. Unsurprisingly, we found that grades administered by teaching assistants (TAs) do not correlate with reliable post-hoc assessments from trained raters. More important, we identified lost learning opportunities for students, and misinformation for instructors about students' progress. We believe our methodology to achieve post-hoc reliability is straightforward enough to be used in classrooms. A key element is the development of finer-grained rubrics for grading that are aligned with the rubrics provided to students to define expectations, but which reduce subjectivity of judgements and grading time. We conclude that the use of dual rubrics, one to elicit independent reasoning from students and one to clarify grading criteria, could improve reliability and accountability of lab report assessment, which could in turn elevate the role of lab reports in the instruction of scientific inquiry.
Utilization of binary information encoded in the charge configuration of quantum-dot cells (the quantum-dot cellular automata, QCA, paradigm) requires molecule-sized dots for room temperature operation. Molecular QCA cells are mixed-valence complexes, and the evaluation and functionalization of an unsymmetrical heterobinuclear, two-dot, Fe-Ru molecular QCA cell is described. The solid state structures of trans-RuCl(dppm)(2)(C[triple bond]CFc) (1) (dppm = methylbis(diphenylphosphane), Fc = (eta(5)-C(5)H(5))Fe(eta(5)-C(5)H(4))) and mixed-valence [trans-RuCl(dppm)(2)(C[triple bond]CFc)][BF(4)] (1a) as well as XPS and spectroscopic data suggest class II behavior suitable for the intended application. Utilization of the trans-Cl position of 1 permits functionalization for surface binding. Two "tailed" complexes of 1, trans-Ru(dppm)(2)(C[triple bond]CFc)(C[triple bond]CPhOCH(3)) (2) and trans-[Ru(dppm)(2)(C[triple bond]CFc)(N[triple bond]CCH(2)CH(2)NH(2))][PF(6)] (3), have been prepared and characterized. The solid state structure of 3 and multinuclear NMR experiments define the structures. In addition, the spectroscopic properties of all complexes and their mixed-valence species are used to define the effect of the substituent "tail" on mixed-valence properties. Further, the electrochemistry of these compounds permits assessment of the extent of perturbation of the substituents on the comproportionation constants and overall electrochemical stability. The complexes possess properties necessary for candidate QCA molecules.
Optimal resource placement and service placement are key factors for resource utilization and service availability in mobile edge computing (MEC) systems. However, efficiently utilizing the resources of MEC servers for service replica placement becomes a significant challenge due to the servers' limited resource capacity. To overcome this challenge, in this paper, we propose a comprehensive model for jointly addressing resource placement and service replica placement within the MEC system. The proposed model considers various factors, including the limited capacity of edge servers, the presence of service replicas, server failure probabilities, and the heterogeneous resource demand of services in terms of CPU, network bandwidth, and storage capacities. We then formulated the joint resource placement and service replica placement problem as a multi-objective optimization problem from the perspective of minimizing server resource waste, reducing server energy consumption, and ensuring high service availability. To solve this problem, we first proposed a resource-aware algorithm for the initialization process, which generates high-quality initial solutions that satisfy the server resource constraints. Then we propose an improved non-dominated sorting genetic algorithm II with two-phase chromosome representation to find a suitable placement solution. Evaluation results show the superiority of our approach compared with other benchmark algorithms in terms of minimizing service unavailability, resource waste, and energy consumption.
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