气象观测场在汽车试验场中的应用研究

汽车试验场作为汽车开展道路测试的重要场所,用于验证汽车产品的品质以及可靠性。除了场地道路外,气象条件作为汽车道路测试的重要一环,在《GB/T12534-1990汽车道路试验方法通则》中也有明确要求,如:试验时应是无雨无雾天气,相对湿度小于95%,气温0-40℃,风速不大于3m/s。同时气象条件也作为试验场道路管控的重要依据,实时风速、雨量、能见度等信息为场地管理者发布限速、限行、封场等通知提供必要参考依据,直接影响道路测试安全管控的及时性。因此,文章从气象观测场的建设、气象服务、异常天气道路管控等方面开展气象观测场在汽车试验场中的应用研究。

Robust Resource Management Control for CO2 Emission and Reduction of Greenhouse Effect: Stochastic Game Approach

With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to describe the dynamics of CO2 emission with control inputs: clean technology, reforestation and carbon tax, under stochastic uncertainties. For the efficient resources management, a robust tracking control is designed to force resources tracking a desired reference output. The worst-case effect of stochastic parametric fluctuations, external disturbances and uncertain initial conditions on the tracking performance is considered and minimized from the dynamic game theory perspective. This stochastic game problem, in which one player (stochastic uncertainty) maximizes the tracking error and another player (control input) minimizes the tracking error, could be equivalent to a robust minimax tracking problem. To avoid solving the HJI, a fuzzy model is proposed to approximate the nonlinear CO2 emission model. Then the nonlinear stochastic game problem could be easily solved by fuzzy stochastic game approach via LMI technique.

Optimizing Resource Management for IoT Devices in Constrained Environments

Embedded computing device implementation on the Internet of Things (IoT) requires careful assessment of their intrinsic resource limitations. These constraints are not limited to memory and processing capabilities but extend to the network interfaces, particularly due to the low-power radio standards that these devices typically employ. The IPv6 protocol is shown to be a strong option for guaranteeing interoperability in the IoT, mostly because of its large address space, the range of current IP-based protocols, and its intrinsic versatility. Considering these benefits, we investigate if current IP-based network management protocols can be implemented on devices with limited resources. We investigate the resource needs in particular for implementing Network Configuration Protocol (NETCONF) and Simple Network Management Protocol (SNMP) on an 8-bit AVR-based device. Our investigation reveals the specific memory and processing demands of these protocols, providing valuable insights into their practicality and efficiency in constrained IoT environments. This study underscores the potential and challenges of leveraging IPv6-based network management protocols to enhance the functionality and interoperability of IoT devices while operating within stringent resource limitations.

Research on the Ideological and Political Education in the Curriculum of Human Resource Management in China

Based on the teaching concept of “Ideological and Political Education in the Curriculum”, taking the curriculum of “Human Resource Management” as an example, this paper explores the reform of ideological and political education design from the perspective of moral education objectives and teaching contents. The course takes “carrying forward the craftsmanship spirit” as the main line, and takes” constructing a pattern of high-quality education” as the main task, which not only cultivates students’ professional skills in human resource management, but also integrates ideological and political elements into all modules of human resource management, pays attention to students’ ideological trends and attaches importance to students’ ideological education. In the teaching content, the course introduces ideological and political elements such as craftsmanship spirit, entrepreneurship spirit and Chinese traditional culture. In the recruitment and selection section, the importance of craftsmanship spirit is emphasized, and talents who strive for excellence and excellence are advocated for selection. In the performance management section, combined with entrepreneurial spirit, the value of innovation driven and efficient execution is explored. When discussing about employee development, it is important to integrate socialist core values and balance individual and collective interests. In the chapter of corporate culture, we will delve into the essence of traditional Chinese culture, such as team harmony, integrity, and professionalism to cultivate a good organizational atmosphere. Ideological and political education in the curriculum of Human Resource Management uses case analysis, group discussions and other forms to enhance students’ political identity, ideological identity and emotional identity, so as to deepen students’ professional ideal and ethics education.

Digital Transformation of Enterprise Human Resource Management Enabled by Big Data

With the continuous development of big data technology,the digital transformation of enterprise human resource management has become a development trend.Human resources is one of the most important resources of enterprises,which is crucial to the competitiveness of enterprises.Enterprises need to attract,retain,and motivate excellent employees,thereby enhancing the innovation ability of enterprises and improving competitiveness and market share in the market.To maintain advantages in the fierce market competition,enterprises need to adopt more scientific and effective human resource management methods to enhance organizational efficiency and competitiveness.At the same time,this paper analyzes the dilemma faced by enterprise human resource management,points out the new characteristics of enterprise human resource management enabled by big data,and puts forward feasible suggestions for enterprise digital transformation.

Exploration of Human Resource Management in Enterprise Business Management

Human resource management is an integral part of enterprise operation and management,contributing to the avoidance of financial risks,alleviation of performance problems,promotion of organizational development,enhancement of operational efficiency,and fostering sustainable enterprise development.Enterprise management should prioritize attention to human resource management by establishing an independent human resource management department and strategically planning human resource management tasks.This involves building an information management platform,developing a professional human resource management model to mitigate market risks,actively recruiting human resource management talents to form a competent team,and enhancing the human resource management and supervision system.These measures are essential for comprehensively improving the level of enterprise operation and management.

The Impact of Human Resource Management on University Development

As competition in the education industry intensifies and the knowledge economy evolves,the significance of Human Resource Management(HRM)in university institutions.This study aims to explore how HRM affects the sustainable development and competitiveness improvement of universities.This article begins with a theoretical analysis to define the concept of HRM and its particular relevance within university education.The subsequent analysis examines the multi-dimensional framework of university development,encompassing its connotation,goals,and key influencing factors.The article further elaborates on the positive effects of HRM on university teaching quality,scientific research capabilities,organizational culture,and social services.On this basis,the main challenges currently faced by university HRM are discussed,such as talent mobility,institutional constraints,resource limitations,and internationalization pressure.Finally,optimization strategies are proposed,including building a scientific human resources system,enhancing talent training and development,fostering diversity among teaching staff,and improving decision-making efficiency and transparency.The conclusions of this study aim to provide strategic insights for university education managers to better utilize human resource advantages and promote the comprehensive and sustainable development of universities.

Optimization Analysis of Human Resource Management Strategies of Nantong University,a Local Comprehensive University in China

This study analyzes the current situation and challenges of Nantong University amid the rapid development of higher education,addressing aspects such as faculty structure,administrative management efficiency,and promotion mechanisms.Through questionnaire surveys and field research,coupled with SWOT analysis and various theoretical methods,a comprehensive analysis was conducted on Nantong University’s internal and external environment.The study proposes an improved comprehensive development strategy and implementation measures,which include updating management concepts,strengthening professional training,optimizing employment conditions,and improving salary systems.Ultimately,this study provides practical strategies for human resource management and the transformational development of Nantong University and other local comprehensive universities.

Intelligent Biometric Information Management

We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation, and functionality, and robustness refers to the ability to handle incomplete and/or corrupt adversarial information, on one side, and image and or device variability, on the other side. The proposed methodology is model-free and non-parametric. It draws support from discriminative methods using likelihood ratios to link at the conceptual level biometrics and forensics. It further links, at the modeling and implementation level, the Bayesian framework, statistical learning theory (SLT) using transduction and semi-supervised lea- rning, and Information Theory (IY) using mutual information. The key concepts supporting the proposed methodology are a) local estimation to facilitate learning and prediction using both labeled and unlabeled data;b) similarity metrics using regularity of patterns, randomness deficiency, and Kolmogorov complexity (similar to MDL) using strangeness/typicality and ranking p-values;and c) the Cover – Hart theorem on the asymptotical performance of k-nearest neighbors approaching the optimal Bayes error. Several topics on biometric inference and prediction related to 1) multi-level and multi-layer data fusion including quality and multi-modal biometrics;2) score normalization and revision theory;3) face selection and tracking;and 4) identity management, are described here using an integrated approach that includes transduction and boosting for ranking and sequential fusion/aggregation, respectively, on one side, and active learning and change/ outlier/intrusion detection realized using information gain and martingale, respectively, on the other side. The methodology proposed can be mapped to additional types of information beyond biometrics.

A Self-Attention Based Dynamic Resource Management for Satellite-Terrestrial Networks

The satellite-terrestrial networks possess the ability to transcend geographical constraints inherent in traditional communication networks,enabling global coverage and offering users ubiquitous computing power support,which is an important development direction of future communications.In this paper,we take into account a multi-scenario network model under the coverage of low earth orbit(LEO)satellite,which can provide computing resources to users in faraway areas to improve task processing efficiency.However,LEO satellites experience limitations in computing and communication resources and the channels are time-varying and complex,which makes the extraction of state information a daunting task.Therefore,we explore the dynamic resource management issue pertaining to joint computing,communication resource allocation and power control for multi-access edge computing(MEC).In order to tackle this formidable issue,we undertake the task of transforming the issue into a Markov decision process(MDP)problem and propose the self-attention based dynamic resource management(SABDRM)algorithm,which effectively extracts state information features to enhance the training process.Simulation results show that the proposed algorithm is capable of effectively reducing the long-term average delay and energy consumption of the tasks.

Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.

Rethinking of Teaching Reform of Land Resource Management Discipline in Local Normal Colleges and Universities under the New Situation

The Agriculture and Forestry discipline in local normal colleges and universities plays an important role in cultivating talents and higher education to serve the local"agriculture,rural areas and farmers".The Land Resource Management discipline is a science that studies the use,allocation,and management of land resources and assets,and has comprehensive and practical features.In the context of the proposal of the rural revitalization strategy and the establishment of the Ministry of Natural Resources of the State Council,the importance of cultivating land resource management talents who understands both land planning and urban planning is self-evident,and the teaching reform of Land Resource Management discipline is receiving much attention.Taking the Land Resource Management discipline of Jiangxi Normal University,a key normal university in Jiangxi Province as an example,combining the characteristics of the discipline setting and the development process,we analyzed the existing problems in its development,so as to provide recommendations for the teaching reform of Land Resource Management discipline in local normal colleges and universities.

Countermeasures and Suggestions for Strengthening Human Resource Management in China’s Pharmaceutical Industry

Objective To provide reference and enlightenment for the development of human resource management in China’s pharmaceutical industry and to put forward some suggestions to promote the further development of pharmaceutical industry.Methods The method of literature review was used to analyze the current situation and existing problems of human resource management in China’s pharmaceutical industry.Results and Conclusion Only by continuously improving the human resource management skills and innovating management methods can pharmaceutical enterprises achieve long-term benefits with sustainable development.The formulation of human resource management strategy in pharmaceutical industry must be conducive to the realization of the business goals of enterprises.To achieve this overall goal,the human resources management department of enterprises must make the plan from a strategic perspective,formulate talent strategic planning which serves the overall strategic goal of the enterprise.As a result,human resource management will play an important role in the development of China’s pharmaceutical industry.

Research on Enterprise Human Resource Management Reform Strategy in the Era of Big Data

In the 21st century,with the development of the Internet,mobile devices,and information technology,society has entered a new era:the era of big data.With the help of big data technology,enterprises can obtain massive market and consumer data,realize in-depth analysis of business and market,and enable enterprises to have a deeper understanding of consumer needs,preferences,and behaviors.At the same time,big data technology can also help enterprises carry out human resource management innovation and improve the performance and competitiveness of enterprises.Of course,from another perspective,enterprises in this era are also facing severe challenges.In the face of massive data processing and analysis,it requires superb data processing and analysis capabilities.Secondly,enterprises need to reconstruct their management system to adapt to the changes in the era of big data.Enterprises must treat data as assets and establish a perfect data management system.In addition,enterprises also need to pay attention to protecting customer privacy and data security to avoid data leakage and abuse.In this context,this paper will explore the thinking of enterprise human resource management innovation in the era of big data,and put forward some suggestions on enterprise human resource management innovation.

Research on the Status Quo and Countermeasures of Human Resource Management Outsourcing in China’s Pharmaceutical Enterprises

Objective To explore the current situation of human resource management outsourcing in China’s pharmaceutical enterprises,and to put forward some suggestions for enterprises and the government.Methods The current situation of human resource management outsourcing in China’s pharmaceutical enterprises was analyzed through the method of literature research.Results and Conclusion At present,the status of human resource management outsourcing in China’s pharmaceutical companies is that the level of human resource outsourcing companies is not high,and there are no relevant industry norms and laws.The information asymmetry between pharmaceutical enterprises and outsourcing companies results in adverse selection and moral hazard.Besides,the different culture of pharmaceutical enterprises and outsourcing companies leads to inefficient communication between enterprises and employee.To solve these problems,the government should promote and improve industry norms and laws to regulate the market.In addition,enterprises should clarify the motivation for outsourcing and make good decision on the outsourcing content.Meanwhile,enterprises should strengthen communication with employees to eliminate employees’concerns.

Exploring the Digital Path of Human Resource Management in Innovation and Entrepreneurship Enterprises

The digitization of human resource management functions can enhance the adaptability of human resource management and promote the comprehensive digital development of innovative and entrepreneurial enterprises.This article first summarizes and evaluates the connotation and research status of the digitalization of enterprise human resource management.Secondly,it analyzes the influencing factors of digitalization of human resource management in innovative and entrepreneurial enterprises from three aspects:employee factors,organizational factors,and technological factors.Finally,it designs a digitalization plan for human resource management in innovative and entrepreneurial enterprises from four aspects:analyzing the current situation,preparing thoroughly,designing plans,and building systems.It emphasizes the value of digitalization of enterprise human resource management for innovative and entrepreneurial enterprises.

Collective Action in Common Pool Resource Management, Including Heterogeneity of Opportunities and Exit Options

The mechanism through which exit options and outside opportunities affect cooperation outcomes has not been well studied in the resource management literature, since a deep analysis of the concepts of “exit options” and “outside opportunities” is missing. This article analyzes these concepts across the common pool resource management literature, investigates the factors that underlie “opting out” decisions, and reviews potential ways to operationalize these concepts for empirical analysis. It also explores how the relationship of cooperation and exit options may be influenced by broad economic processes, such as economic integration.

Changing Vegetation Patterns in Yobe State Nigeria: An Analysis of the Rates of Change, Potential Causes and the Implications for Sustainable Resource Management

The exploitation of natural resources for timber production, fuelwood use and conversion to agricultural land is increasing to such an extent that the sustainable use of many areas of the world is in doubt. This paper examines three decades of freely available Landsat satellite images of the northeastern part of Nigeria using a supervised classification based technique to create maps of vegetation change in Yobe State. The maps are then used to examine the temporal and spatial aspects of changes which have occurred in the context of previous evidence and literature. The results indicate that the vegetation of the area has drastically reduced since the 1970’s. However, as this study shows, the pattern of these changes is complicated and cannot be explained by any single physical or anthropogenic causal factor. Similarly, evidence from ground truthing investigation indicates the importance of fuelwood collection to the deforestation process within the region. This article shows the value of an existing remote sensing and image processing methodology for the assessment of vegetation change in developing countries in relation to the sustainable management of natural resources. The study also discusses the overall change within the study area and discusses several potential causative factors of the observed patterns of change.

Resolution of Relationship between Organizational Performance and Human Resource Management through Nonlinear Modeling

The relation between the HRM and the firm performance is analyzed statistically by many researchers in the literature. However, there are very few nonlinear approaches in literature for finding the relation between Human Resource Management (FIRM) and firm performance. This paper exposes the relationship between human resource management and organizational performance through the use of nonlinear modeling technique. The modeling is proposed based on Radial Basis Function (RBF) which is nonlinear modeling technique in literature. The relation between 12 input and 9 output parameters is investigated in this research that is collected between 54 companies in Turkey which indicated that the relationship between organizational management performance and relationship management can be modelled through nonlinearly.

The Impact of Human Resource Management on Regional Economic Development

A company that does a good job in human resource management will promote the process of regional economic development,and related enterprises will develop rapidly as a result.In future work,enterprises should carefully study the relationship between the two,and innovate their human resource management and development methods while fully considering the needs of talent development and regional economic development,in order to fundamentally optimize the regional economic development status.