Study on the Coordination Mechanism Between Higher Vocational Students’Career Development Planning and School Management

The coordination mechanism between the career development planning of vocational students and the management of vocational colleges is an important means to improve the quality of education and students’vocational competitiveness.The application of synergy theory in the field of education emphasizes the interaction and coordination of various elements in the system and pursues the optimization of overall efficiency.Based on the theory of coordination and its relevance to the management of higher vocational colleges,this paper analyzes the current development status and problems of the coordination mechanism and puts forward the strategy of building an efficient coordination mechanism designed to enhance the students’employment competitiveness,promote the all-round development,and provide theoretical and practical support for the reform and development of higher vocational education.

Stochastic programming based coordinated expansion planning of generation,transmission,demand side resources,and energy storage considering the DC transmission system

With the increasing penetration of wind and solar energies,the accompanying uncertainty that propagates in the system places higher requirements on the expansion planning of power systems.A source-grid-load-storage coordinated expansion planning model based on stochastic programming was proposed to suppress the impact of wind and solar energy fluctuations.Multiple types of system components,including demand response service entities,converter stations,DC transmission systems,cascade hydropower stations,and other traditional components,have been extensively modeled.Moreover,energy storage systems are considered to improve the accommodation level of renewable energy and alleviate the influence of intermittence.Demand-response service entities from the load side are used to reduce and move the demand during peak load periods.The uncertainties in wind,solar energy,and loads were simulated using stochastic programming.Finally,the effectiveness of the proposed model is verified through numerical simulations.

Geo-Parks Planning Based on Land Coordination Analysis——A Case Study of World Geo-Park of Yuntai Mountain

By taking the World Geo-Park of Yuntai Mountain for example,based on its present land using,interpretation of its remote sensing images,and systematic analysis by MAPGIS,the authors analyzed the coordination between land use and park construction in the study area,proposed suggestions for moderate adjustment of the original land structure to control the scale of construction land,protect and expand ecological land use,geological heritages and landscape land use.All land uses should be comprehensively coordinated,and the role of land use planning of the scenic area as a coordinator should be stressed.Moreover,results of the re-investigation should be properly utilized to optimize the new round of planning,particular land value of the scenic area should be highlighted,so as to form the benign circulation between new human activities and eco-environment,provide a new concept and approach for the sustainable development of the geo-park.

Coordinated Planning Transmission Tasks in Heterogeneous Space Networks:A Semi-Distributed Approach

This paper studies the coordinated planning of transmission tasks in the heterogeneous space networks to enable efficient sharing of ground stations cross satellite systems.Specifically,we first formulate the coordinated planning problem into a mixed integer liner programming(MILP)problem based on time expanded graph.Then,the problem is transferred and reformulated into a consensus optimization framework which can be solved by satellite systems parallelly.With alternating direction method of multipliers(ADMM),a semi-distributed coordinated transmission task planning algorithm is proposed,in which each satellite system plans its own tasks based on local information and limited communication with the coordination center.Simulation results demonstrate that compared with the centralized and fully-distributed methods,the proposed semi-distributed coordinated method can strike a better balance among task complete rate,complexity,and the amount of information required to be exchanged.

Multi-stage power source and grid coordination planning method considering grid uniformity

Given the increasing uncertainties in power supply and load,this paper proposes the concept of power source and grid coordination uniformity planning.In this approach,the standard deviation of the transmission line load rate is considered as the uniformity evaluation index for power source and grid planning.A multi-stage and multi-objective optimization model of the power source and grid expansion planning is established to minimize the comprehensive cost of the entire planning cycle.In this study,the improved particle swarm optimization algorithm and genetic algorithm are combined to solve the model,thus improving the efficiency and accuracy of the solution.The analysis of a simple IEEE Garver’s 6-node system shows that the model and solution method are effective and feasible.Moreover,they are suitable for the coordinated planning of the power source and grid under a diversified nature of power supply and load.

ORGANIZING MACRO ECONOMIC REGIONS AND ENHANCING INTER-PROVINCIAL COORDINATION AND PLANNING IN CHINA

This paper elaborates upon the purpose of macro economicroponalization and inter-provincial planning and coordination under thesocialist market system. It descnbes the characteristics and orgarnzationalforms of macro economic regions and the principle of macro economic regionalization. The six macro economic regions-Northeast China, NorthChina, Northwest China, Middle-East China, Southwest China and South China-are divided in the paper. At the end, the paper describes somemajor programs, which requires cooperation among various involvedprovinces.

CAD Model-Based Intelligent Inspection Planning for Coordinate Measuring Machines

As the market competition among enterprises grows intensively and the demand for high quality products increases rapidly, product quality inspection and control has become one of the most important issues of manufacturing, and improving the efficiency and accuracy of inspection is also one of problems which enterprises must solve. It is particularly important to establish rational inspection planning for parts before inspecting product quality correctly. The traditional inspection methods have been difficult to satisfy the requirements on the speed and accuracy of modern manufacturing, so CAD-based computer-aided inspection planning （CAIP） system with the coordinate measuring machines （CMM） came into being. In this paper, an algorithm for adaptive sampling and collision-free inspection path generation is proposed, aiming at the CAD model-based inspection planning for coordinate measuring machines （CMM）. Firstly, using the method of step adaptive subdivision and iteration , the sampling points for the specified number with even distribution will be generated automatically. Then, it generates the initial path by planning the inspection sequence of measurement points according to the values of each point＇s weight sum of parameters, and detects collision by constructing section lines between the probe swept-volume surfaces and the part surfaces, with axis-aligned bounding box （AABB） filtering to improve the detection efficiency. For collided path segments, it implements collision avoidance firstly aiming at the possible outer-circle features, and then at other collisions, for which the obstacle-avoiding movements are planned with the heuristic rules, and combined with a designed expanded AABB to set the obstacle-avoiding points. The computer experimental results show that the presented algorithm can plan sampling points＇ locations with strong adaptability for different complexity of general surfaces, and generate efficient optimum path in a short time and avoid collision effectively.

Motion Planning Based Coordinated Control for Hydraulic Excavators

Hydraulic excavator is one type of the most widely applied construction equipment for various applications mainly because of its versatility and mobility. Among the tasks performed by a hydraulic excavator, repeatable level digging or flat surface finishing may take a large percentage. Using automated functions to perform such repeatable and tedious jobs will not only greatly increase the overall productivity but more importantly also improve the operation safety. For the purpose of investigating the technology without loss of generality, this research is conducted to create a coordinate control method for the boom, arm and bucket cylinders on a hydraulic excavator to perform accurate and effective works. On the basis of the kinematic analysis of the excavator linkage system, the tip trajectory of the end-effector can be determined in terms of three hydraulic cylinders coordinated motion with a visualized method. The coordination of those hydraulic cylinders is realized by controlling three electro-hydraulic proportional valves coordinately. Therefore, the complex control algorithm of a hydraulic excavator can be simplified into coordinated motion control of three individual systems. This coordinate control algorithm was validated on a wheeled hydraulic excavator, and the validation results indicated that this developed control method could satisfactorily accomplish the auto-digging function for level digging or flat surface finishing.

IMMUNE GENETIC ALGORITHM FOR THE PATH PLANNING OF TIGHTLY COORDINATED TWO-ROBOT MANIPULATORS

A novel algorithm, the immune genetic algorithm based on multi-agent, isproposed for the path planning of tightly coordinated two-robot manipulators, which constructsmainly immune operators accomplished by three steps: defining strategies and methods of multi-agent,calculating virtual forces acting on an agent, and constructing immune operators and performingimmunization during the evolutionary process. It is illustrated to be able to restrain thedegenerate phenomenon effectively and improve the searching ability with high converging speed.

Optimal control based coordinated taxiing path planning and tracking for multiple carrier aircraft on flight deck

Coordinated taxiing planning for multiple aircraft on flight deck is of vital importance which can dramatically improve the dispatching efficiency.In this paper,first,the coordinated taxiing path planning problem is transformed into a centralized optimal control problem where collision-free conditions and mechanical limits are considered.Since the formulated optimal control problem is of large state space and highly nonlinear,an efficient hierarchical initialization technique based on the Dubins-curve method is proposed.Then,a model predictive controller is designed to track the obtained reference trajectory in the presence of initial state error and external disturbances.Numerical experiments demonstrate that the proposed“offline planningþonline tracking”framework can achieve efficient and robust coordinated taxiing planning and tracking even in the presence of initial state error and continuous external disturbances.

Dual-manipulator Coordinate Motion Planning Scheme for Robot Satellite

A scheme of dual-manipulator coordination motion planning for robot satellite (RS) is proposed.Based on the analysis of RS motion characteristics in micro-gravity environment, two manipulators are divided into main manipulator and assistant manipulator. Then, four kinds of coordination modes for dual-manipulator RS, namely,stablizing function, counterbalancing function, adjusting function and coorperative operation are presented. Motion planning algorithm for dual-manipulator is also presented.Finally, computer simulation results of the four kinds of coordination modes for a RS experimental model capturing target operation in micro-gravity environment are given.Simulation experiments show that the coordination modes and planning algorithm proposed in this paper are effective.

Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao

The China National Blue Bay Remediation Action Plan(NBBRAP)is a crucial step towards achieving the overall goal of building a maritime power and a beautiful ocean.This paper presents the resource-environment-economy(REE)composite system from the three-dimensional perspective of REE.Especially,through the coordination degree model of the composite system based on the order degree of subsystems,empirical analysis of the coordination degree of the REE composite system in a typical coastal city Qingdao from 2005 to 2016 was carried out.Results indicate that the degree of coordination and interactive coordination of the REE composite system in Qingdao were in a low-quality state.Qingdao's economy development depended largely on the expense of over-exploitation of resources and environmental degradation in 2013-2015.Government policy implementation was less persistent in 2009-2010 and 2011-2013.The immediate stimulating effect was significant,making the coordination degree of the REE composite system fluctuate in a volatile manner.Analysis of the coordination degree of the REE composite system has practical guiding significance for the successful implementation attainment of the NBBRAP target in Qingdao and is conducive to deepening the learning and promotion of this plan in other coastal cities.

New Rural Community Planning to Cope with the Coordinated “Threezation”

The paper targets at reasonable planning and construction of new rural communities on the basis of coordinated "three-zation"(new urbanization, industrialization and agricultural modernization, hereinafter referred to as "three-zation"). Through summarizing the connotations of new rural community construction coping with the coordinated "three-zation", and analyzing the role of new rural community in the "three-zation", planning and design of Gaocun Community was taken for example to propose strategies for the planning and construction of new rural communities, and promotion of the coordinated "three-zation".

Coordinated dynamic mission planning scheme for intelligent multi-agent systems

Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system complexity,the execution order constraints,and the dynamic environment uncertainty.To address it,a coordinated dynamic mission planning scheme is proposed utilizing the method of the weighted AND/OR tree and the AOE-Network.In the scheme,the mission is decomposed into a time-constraint weighted AND/OR tree,which is converted into an AOE-Network for mission planning.Then,a dynamic planning algorithm is designed which uses task subcontracting and dynamic re-decomposition to coordinate conflicts.The scheme can reduce the task complexity and its execution time by implementing real-time dynamic re-planning.The simulation proves the effectiveness of this approach.

Overall Framework and Module of Distribution Network Coordinated Planning Considering Distributed Generation

Combining with the characteristics of China's energy and the strategy of sustainable development, analyzing the pros and cons which caused by the appearance of DG and their operation connecting to grid, this paper points out that the two sides can achieve win-win under a reasonable combination between DG and distribution system, so as to optimize the allocation of resources, improve the utilization ratio of resource, and obtain maximum social benefit, harmoniously promote the development of power industry, economy and environment. As a word, this paper puts forward a new model of distribution network planning including DG and brings in penalty factorto guide the investment and construction of DG. Last of all, this paper presents the adoption of the coordination development coefficients which is to evaluate the power planning.

A signal coordination algorithm for two adjacent intersections based on approximate dynamic programming

To reduce vehicle emissions in road networks, a new signal coordination algorithm based on approximate dynamic programming （ADP） is developed for two intersections. Taking the Jetta car as an experimental vehicle, field tests are conducted in Changchun Street of Changchun city and vehicle emission factors in complete stop and uniform speed states are collected. Queue lengths and signal light colors of approach lanes are selected as state variables, and green switch plans are selected as decision variables of the system. Then the calculation model of the optimization index during the planning horizon is developed based on the basis function method of the ADP. The temporal-difference algorithm is employed to update the weighting factor vector of the approximate function. Simulations are conducted in Matlab and the results show that the established algorithm outperforms the conventional coordination algorithm in reducing vehicle emissions by 8.2%. Sensitive analysis of the planning horizon length on the evaluation index is also conducted and the statistical results show that the optimal length of the planning horizon is directly proportional to the traffic load.

A Defense Planning Model for a Power System Against Coordinated Cyber-physical Attack

This paper proposes a tri-level defense planning model to defend a power system against a coor-dinated cyber-physical attack(CCPA).The defense plan considers not only the standalone physical attack or the cyber attack,but also coordinated attacks.The defense strategy adopts coordinated generation and transmission expansion planning to defend against the attacks.In the process of modeling,the upper-level plan represents the perspective of the planner,aiming to minimize the critical load shedding of the planning system after the attack.The load resources available to planners are extended to flex-ible loads and critical loads.The middle-level plan is from the viewpoint of the attacker,and aims at generating an optimal CCPA scheme in the light of the planning strategy determined by the upper-level plan to maximize the load shedding caused by the attack.The optimal operational behavior of the operator is described by the lower-level plan,which minimizes the load shedding by defending against the CCPA.The tri-level model is analyzed by the column and constraint generation algorithm,which de-composes the defense model into a master problem and subproblem.Case studies on a modified IEEE RTS-79 system are performed to demonstrate the economic effi-ciency of the proposed model.Index Terms—Coordinated cyber-physical attack,flexible load,column-and-constraint generation,defense planning,robust optimization.

Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect targets by passive radars

The problem of passive detection discussed in this paper involves searching and locating an aerial emitter by dualaircraft using passive radars. In order to improve the detection probability and accuracy, a fuzzy Q learning algorithrn for dual-aircraft flight path planning is proposed. The passive detection task model of the dual-aircraft is set up based on the partition of the target active radar＇s radiation area. The problem is formulated as a Markov decision process （MDP） by using the fuzzy theory to make a generalization of the state space and defining the transition functions, action space and reward function properly. Details of the path planning algorithm are presented. Simulation results indicate that the algorithm can provide adaptive strategies for dual-aircraft to control their flight paths to detect a non-maneuvering or maneu- vering target.

A Multirobotic Planning Based on Expert System

A robotic planning system using the technique of expert system for multirobotic coordi-nated motion with collision-avoidance has been developed.Its general architecture and theroles of its components are introduced in this paper.The task planning diagram of this sys-tem is also briefly explained.A mechanism for multirobotic planning has been proposed.Two examples of traffic control system,i.e.two-robot coordinated pathfinding system withcollision-avoidance have been demonstrated.In order to avoid the collision,some controlstrategies are applied.The results of this planning system are valuable and helpful for plan-ning the multirohotic coordinated motion with collision-avoidance.

Case Studies on an Approach to Multiple Autonomous Vehicle Motion Coordination

This paper conducts a series of case studies on a novel Simultaneous Path and Motion Planning (SiPaMoP) approach [1] to multiple autonomous or Automated Guided Vehicle (AGV) motion coordination in bidirectional networks. The SiPaMoP approach plans collision-free paths for vehicles based on the principle of shortest path by dynamically changing the vehicles’ paths,traveling speeds or waiting times,whichever gives the shortest traveling time. It integrates path planning,collision avoidance and motion planning into a comprehensive model and optimizes the vehicles’ path and motion to minimize the completion time of a set of tasks. Five case studies,i.e.,head-on collision avoidance,catching-up collision avoidance,buffer node generation and collision avoidance,prioritybased motion coordination,and safety distance based planning,are presented. The results demonstrated that the method can effectively plan the path and motion for a team of autonomous vehicles or AGVs,and solve the problems of traffic congestion and collision under various conditions.