我国旅游管理专业本科教育的问题分析与发展策略

近年来,我国旅游管理专业本科教育凸现出行业就业率低、流失率高、毕业生缺乏竞争优势、旅游管理本科专业发展困难等问题.本文在综合分析导致我国旅游本科教育问题突出的原因的基础上,从教育管理部门、旅游高等院校、社会环境等角度提出了应对策略,以期促进旅游本科教育的健康发展。

基于“互联网+”时代下中职班主任管理工作的问题及应对策略

中等职业教育是我国教育体系中的重要组成部分,由于受传统观念的影响,目前中职教育在社会上依然不太被人认可和重视,中职招生的"低门槛"导致招进学生的"低素质",从而给中职班主任工作带来了难度。时代已进入21世纪的"互联网+"信息时代,如何紧跟时代脉搏,做好中职班主任工作,是一项长期而艰巨的工作。文章探讨了"互联网+"时代下中职学校班主任管理工作中存在的一些主要问题。

区域经济发展与森林资源保护问题及其解决策略

经济发展可持续化是目前我国区域经济发展的核心内容。而在整个区域经济发展中,森林资源属于重要资源,作为区域经济可持续发展的关键部分,必须切实加强森林资源的保护。但现阶段区域经济发展及森林资源保护之间的黏性仍然较低,两者之间的内在情况仍然存在问题。因此,对区域经济发展与森林资源保护存在的问题进行分析,并提出针对性解决措施,进一步实现经济与森林资源保护稳定及共同发展。

高速公路运营企业财务管理存在的问题及策略探究

在我国经济体制改革的背景下,高速公路运营企业的发展既面临着机遇又存在挑战,在高速公路运营企业发展的过程中,企业财务管理发挥着重要的作用,对企业进行有效的财务管理有利于实现企业的社会经济效益。本文主要对高速公路运营企业财务管理的重要原则进行阐述,对企业财务管理现存的问题进行分析,针对存在的问题提出相应的解决措施。

油气储运系统中存在的问题及改进措施

在我国油气储运的过程中,依然存在着火灾、油气蒸发耗损以及油气管道腐蚀等问题,本文对现有的问题进行了分析,并提出了相应的改进措施,以便为同行业提供借鉴。

中小企业财务管理存在问题及对策探讨

中小企业是我国经济发展的主力军,随着我国经济的发展,越来越多的人选择创业,同时,国家对中小企业的资金投入积极促进了企业发展,并对中小企业的财务管理提出了更高的标准。高效的财务管理可以增加企业的发展效能,更好地解决在企业发展中遇到的问题。因此,为了进一步实现中小企业的发展目标,制定对企业财务管理卓有成效的制度与提高企业对财务管理的重视程度显得格外重要。

Study on the Development of Urban Cohesion

Urban cohesion is a new development phenomenon of urbanization, requires further study in both practices and theories. In this study, the connotation, development premise and existing problems of urbanization have been primarily explored, to obtain useful ideas.

试论新形势下的高校劳资管理

高校劳资管理工作十分复杂,主要是从高校劳资管理的现状以及主要问题,高校劳资在新形势下的发展特点,以及高校劳资管理工作今后的发展方向这几个方面去讨论新形势下的高校劳资管理工作。

Purchasing policy model based on components/parts unification

This paper presents a mathematical model for components/parts unification (CPU) policy. This model considers two components/parts that are functionally interchangeable but purchased from suppliers with different prices and quality characteristics. Because of the buyer's quality preference and suppliers' discount rates for bulky purchases, the model assists the procurement manager to determine how best to purchase the components/parts to meet its demand while minimizing the total acquisition costs.

An adaptive ant colony system algorithm for continuous-space optimization problems

Ant colony algorithms comprise a novel category of evolutionary computation methods for optimization problems, especially for sequencing-type combinatorial optimization problems. An adaptive ant colony algorithm is proposed in this paper to tackle continuous-space optimization problems, using a new objective-function-based heuristic pheromone assignment approach for pheromone update to filtrate solution candidates.Global optimal solutions can be reached more rapidly by self-adjusting the path searching behaviors of the ants according to objective values. The performance of the proposed algorithm is compared with a basic ant colony algorithm and a Square Quadratic Programming approach in solving two benchmark problems with multiple extremes. The results indicated that the efficiency and reliability of the proposed algorithm were greatly improved.

Analysis of Strategies to Improve Traffic Conditions in the Ancient Urban Area of Suzhou

In this paper, the authors first analyse the problems existing in the situation of land use, structure of travel mode and road network by applying the basic principle of traffic engineering and system engineering methods. Then, the authors make it clear the strategies to be adopted for solving the existing traffic problems in the ancient urban area of Suzhou(AUAS), namely insisting on the goal based strategy; the strategy to develop the public transit system in priority and decreasing the demand on cars from the view point of land use strategy. On the basis of such analysis the authors put forth proposals about major measures to be taken to improve traffic conditions of the AUAS, such as construction of express artery ring around the ancient city, appropriate transformation of the roads in the AUAS and rational distribution of car parking areas at the outskirt, which are of positive significance in guiding the protection of the AUAS and transportation construction. In this paper, specialized software is used to establish criteria for the construction scale and extent analysis and evaluation of the ancient city construction project, which is of some reference significance to the transformation of old urban areas in other cities.

A heuristic method for solving triangle packing problem

Given a set of triangles and a rectangle container, the triangle packing problem is to determine if these triangles can be placed into the container without overlapping. Triangle packing problem is a special case of polygon packing problem and also NP-hard, so it is unlikely that an efficient and exact algorithm can be developed to solve this problem. In this paper, a new concept of rigid placement is proposed, based on which a discrete solution space called rigid solution space is constructed. Each solution in the rigid solution space can be built by continuously applying legal rigid placements one by one until all the triangles are placed into the rectangle container without overlapping. The proposed Least-Destruction-First (LDF) strategy determines which rigid placement has the privilege to go into the rectangle container. Based on this, a heuristic algorithm is proposed to solve the problem. Combining Least-Destruction-First strategy with backtracking, the corresponding backtracking algorithm is proposed. Computa- tional results show that our proposed algorithms are efficient and robust. With slight modification, these techniques can be con- veniently used for solving polygon packing problem.

Buffer allocation method of serial production lines based on improved ant colony optimization algorithm

Buffer influences the performance of production lines greatly.To solve the buffer allocation problem(BAP) in serial production lines with unreliable machines effectively,an optimization method is proposed based on an improved ant colony optimization(IACO) algorithm.Firstly,a problem domain describing buffer allocation is structured.Then a mathematical programming model is established with an objective of maximizing throughput rate of the production line.On the basis of the descriptions mentioned above,combining with a two-opt strategy and an acceptance probability rule,an IACO algorithm is built to solve the BAP.Finally,the simulation experiments are designed to evaluate the proposed algorithm.The results indicate that the IACO algorithm is valid and practical.

Self-adaptive learning based immune algorithm

A self-adaptive learning based immune algorithm （SALIA） is proposed to tackle diverse optimization problems, such as complex multi-modal and ill-conditioned prc,blems with the high robustness. The SALIA algorithm adopted a mutation strategy pool which consists of four effective mutation strategies to generate new antibodies. A self-adaptive learning framework is implemented to select the mutation strategies by learning from their previous performances in generating promising solutions. Twenty-six state-of-the-art optimization problems with different characteristics, such as uni-modality, multi-modality, rotation, ill-condition, mis-scale and noise, are used to verify the validity of SALIA. Experimental results show that the novel algorithm SALIA achieves a higher universality and robustness than clonal selection algorithms （CLONALG）, and the mean error index of each test function in SALIA decreases by a factor of at least 1.0×10^7 in average.

Optimal design of coordination control strategy for distributed generation system

This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among multiple DG units, is suggested based on the conception of hierarchical control structure in the dynamic system. The optimal control problem was formulated as a nonlinear optimization problem subject to set of constraints. The resulting problem was solved using the Kuhn-Tucker method. Computer simulation results demonstrate that the proposed method can provide better efficiency in terms of reducing total costs compared to existing methods. In addition, the proposed optimal load distribution strategy can be easily implemented in real-time thanks to the simplicity of closed-form solutions.

Diagrams Produced by Secondary Students in Multiplicative Comparison Word Problems

We investigated the use of diagrams in multiplicative comparison word problems. The diagrams have been considered as one of the effective heuristic strategies or solving math problems. However, how students use during their school and the degree development that shows in their performance when applied to specific fields of knowledge is a task to be elucidated. We place our study in the school stage in which it makes the transition from arithmetic to algebra and arithmetic problems we focus on in the underlying multiplicative comparison scheme. In this paper, we analyzed the responses of high school students to the translation of multiplicative comparison word problems to representation graphs. We have used the responses of 12 -14 year old students （freshman year of secondary school） to represent multiplicative comparison word problems to identify and categorize the students responses, which allowed us identify categories for each type of representation and hypothesize priority order and subordination between the categories. Results show that students are not familiar with building diagrams that integrate existing relations in word problems. Most of the students do not use all the quantitative information contained in the word problem, therefore draw diagrams referring to the subject or context of the problem without relating to the data in it. We describe in detail the quantitative diagram types produced by these students. We have identified four kinds of quantitative diagrams that the students used to represent the multiplicative comparison problems with inconsistent statements, and these diagrams correspond to the four strategies for tackling the construction of the diagram.

E-commerce security policy analysis

In today＇ s 21st century of IT, e-commerce began to develop rapidly. Among them, in the process of e-commerce implementation, it is mainly to ensure system security issues. Based primarily on this issue, we discussed issues related to certification systems, SSL protocol as well as SET protocol. In addition, the article also describes the business several other safety-related technology.

Multi-strategy Differential Evolution Algorithm for QoS Multicast Routing

This paper studies the difference algorithm parameters characteristic of the multicast routing problem, and to compare it with genetic algorithms. The algorithm uses the path of individual coding, combined with the differential cross-choice strategy and operations optimization. Finally, we simulated 30 node networks, and compared the performance of genetic algorithm and differential evolution algorithm. Experimental results show that multi-strategy Differential Evolution algorithm converges faster and better global search ability and stability.

The Strategy of Integrating Enterprise Culture into College English Teaching Under the New Curriculum Reform

With the overall promotion of the new curriculum reform, teachers’ teaching ideas have greatly changed. Under this background, how to apply the concept of new curriculum reform guide the reform of college English teaching is an important task. Therefore, it is very important to study the teaching strategies of college English teaching. Culture and language are complementary and inseparable, which requires us to carry out cultural teaching during English teaching process. In this paper, we focus on the strategy of integrating enterprise cultures into college English teaching, and discuss several cultural teaching problems in college English class. As a language required course, English not only strengthen the learners’ language skills, but also enhance humanistic quality of students. However, current college English teaching takes the examination as the goal, which cannot meet the needs of the learner’s professional stuff. We propose the strategy of integrating the professional background into English teaching, in order to improve the students’ ability of comprehensive application of English and the professional quality.

Teaching Large Classes in Chinese High Schools: What Do Teachers Say and Do?

Teaching English to large classes is a common phenomenon in developing countries, and China is no exception. Such an issue has attracted attention of many researchers worldwide over the past two decades. However, such research in China has been relatively rare. This paper reports an investigation into teachers＇ perceptions and practices of teaching English to large classes in Chinese schools. The study used both quantitative and qualitative methods to explore teachers＇ attitude towards their perceived problems regarding teaching English to large classes, and the strategies they used to cope with large classes. Results show that an overwhelming majority of the Chinese English teachers （92.6%） hold a negative attitude towards teaching English in large classes. Pedagogical issues, management-related difficulties and psychological burden emerged as major obstacles. Despite these problems, teachers were seeking strategies to cope with the problems in their daily practices with more or less success.