Assessment Framework of Green Intelligent Transformation of Small Hydropower in China

With the comprehensive promoted construction of the establishment of green small hydropower,the defects of existing small hydropower station are gradually emerging,and it is necessary to implement green intelligent transformation to promote the construction of energy internet in China.This study focuses on constructing a green intelligent planning and transforming assessment framework,and assists management department to filtrate the small hydropower stations which can be transformed reasonably.Firstly,power station economy,ecological environment,technical safety management and social benefits are involved in the assessment index system.Secondly,multi-expert judgment aggregation based on fuzzed comparison scale is put forward to calculate the index value,and evidence synthesis is used to comprehensively assess the feasibility of green and intelligent planning and transformation for several small hydropower stations.The simulation case analysis shows the constructed assessment framework can reflect the actual situation of objectives properly and would provide decision-making basis for green and intelligent planning and transformation of small hydropower stations.

Construction and Practice of Education and Teaching Quality Assurance Systems in Applied Colleges and Universities under the Background of Digital Intelligence

This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant theories of digital intelligence transformation and analyzes the impact of digital intelligence transformation on higher education.Secondly,this paper puts forward the principles of constructing the quality assurance system of applied colleges,including strengthening the quality assurance consciousness,improving teachers’digital literacy,and implementing digital intelligence governance.From the practical perspective,this paper expounds on strategies such as optimizing educational teaching resource allocation,constructing a diversified evaluation system of teaching quality,strengthening the construction and training of teaching staff,and innovating teaching management methods.Specific optimization measures are put forward,such as improving policies,regulations,and system guarantees,strengthening cooperation between schools and enterprises,integrating industry,school,and research,building an educational information platform,and improving the monitoring and feedback mechanism of educational quality.

The Formation Mechanism of an Enterprise’s Digital Intelligence Transformation Capability:A Case Study on“Knowledge-Action Oneness”in Haier

The rapid development of big data,artificial intelligence(AI),and blockchain technology makes the digital intelligence transformation of an enterprise possible.Based on the case study of Haier Group,this paper attempts to address the rationales behind building up the capability of digital intelligence transformation of enterprises by means of the traditional Chinese idiom,“knowledge-action oneness.”The result indicates that the learning process is an important factor for an enterprise to form its digital intelligence transformation capability.It is a process of mutual coupling between digital knowledge and digital actions.As a result of such a unity,different learning subjects form their corresponding digital intelligence transformation capability through their own learning process of mutual coupling of knowledge and action:Leaders form digital strategic capabilities through the mutual coupling of strategic knowledge and actions;employees form digital absorption capabilities through the mutual coupling of scenario-based knowledge and actions;teams form digital integration capabilities through the mutual coupling of integrated knowledge and actions;and the whole organization forms digital,eco-systemic capabilities through the mutual coupling of institutionalized knowledge and autonomous actions.Such a multi-level digital intelligence transformation system requires efforts from everyone in the enterprise.

Visual Person Identification Using a Distance-dependent Appearance Model for a Person Following Robot

This paper describes a person identifcation method for a mobile robot which performs specifc person following under dynamic complicated environments like a school canteen where many persons exist.We propose a distance-dependent appearance model which is based on scale-invariant feature transform（SIFT） feature.SIFT is a powerful image feature that is invariant to scale and rotation in the image plane and also robust to changes of lighting condition.However,the feature is weak against afne transformations and the identifcation power will thus be degraded when the pose of a person changes largely.We therefore use a set of images taken from various directions to cope with pose changes.Moreover,the number of SIFT feature matches between the model and an input image will decrease as the person becomes farther away from the camera.Therefore,we also use a distance-dependent threshold.The person following experiment was conducted using an actual mobile robot,and the quality assessment of person identifcation was performed.