Exploration of Innovation Strategy in the Deep Integration of Information Technology and Education and Teaching

The rapid development of information technology provides a new opportunity and impetus for the reform of education and teaching.Deep integration of information technology and education and teaching is the only way to promote the modernization of education.Starting from the connotation of the deep integration of information technology and education and teaching,this paper analyzes the existing problems in the current integration process,and puts forward innovative strategies from the aspects of concept,resources,model,and evaluation.Through measures such as building a smart teaching environment,enriching high-quality teaching resources,innovating teaching organization models,and establishing multiple evaluation systems,we will realize the deep integration of information technology and teaching,promote the reform of teaching and learning methods,improve the quality of personnel training,and provide strong support for the modernization of education.

Coordinating pricing strategies in supply chain under asymmetric information and disruptions

The coordinating pricing strategies with asymmetric cost information under disruptions are investigated in a one-supplier-one-retailer supply chain system.While the retailer's cost structure is asymmetric information,supply chain pricing contract models(a wholesale price contract and an all-unit quantity discount contract)under asymmetric information are proposed by employing the principal-agent principle in a regular scenario.When the retailer's cost distribution is fluctuated by disruptions,we obtain the optimal emergency strategies of the supply chain under asymmetric information by considering deviation costs and show how to effectively handle the cost uncertainty.Using numerical methods,impacts of cost disruptions on the optimal wholesale price,the retailer price,the order quantity and the expected profits of the retailer,the supplier,as well as the total system are analyzed.It is found that the all-unit quantity discount policy can obtain better performance than the wholesale pricing policy.

Novel cued search strategy based on information gain for phased array radar

A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positions, and the calculation of the prior probability distribution of each beam position is discussed. And then, two search algorithms based on information gain are proposed using Shannon entropy and Kullback-Leibler entropy, respectively. With the proposed strategy, the information gain of each beam position is predicted before the radar detection, and the observation is made in the beam position with the maximal information gain. Compared with the conventional method of sequential search and confirm search, simulation results show that the proposed search strategy can distinctly improve the search performance and save radar time resources with the same given detection probability.

Key strategies for predictive exploration in mature environment: model innovation, exploration technology optimization and information integration

Prediction has become more and more difficult in mineral exploration, especially in the mature exploration environment such as Tongling copper district. For enhancing predictive discovery of hidden ore deposits in such mature environment, the key strategies which should be adopted include the innovation of the exploration models, application of the advanced exploration techniques and integration of multiple sets of information. The innovation of the exploration models should incorporate the new metallogenic concepts that are based on the geodynamic anatomization. The advanced techniques applied in the mature exploration environment should aim at the speciality and complexity of the geological setting and working environments. The information synthesis is to integrate multiple sets of data for giving a more credible and visual prospectivity map by using the geographic imformation system(GIS) and several mathematical methods, such as weight of evidence and fuzzy logic, which can extract useful information from every set of data as much as possible. Guided by these strategies, a predictive exploration in Fenghuangshan ore field of Tongling copper district was implemented, and a hidden ore deposit was discovered.

Generalized minimum information path routing strategy on scale-free networks

This paper presents a new routing strategy by introducing a tunable parameter into the minimum information path routing strategy we proposed previously. It is found that network transmission capacity can be considerably enhanced by adjusting the parameter with various allocations of node capability for packet delivery. Moreover, the proposed routing strategy provides a traffic load distribution which can better match the allocation of node capability than that of traditional efficient routing strategies, leading to a network with improved transmission performance. This routing strategy, without deviating from the shortest-path routing strategy in the length of paths too much, produces improved performance indexes such as critical generating rate, average length of paths and average search information.

Optimal transmission strategy for spatially correlated MIMO systems with channel statistical information

In real multiple-input multiple-output (MIMO) systems, the perfect channel state information (CSI) may be costly or impossible to acquire. But the channel statistical information can be considered relatively stationary during long-term transmission. The statistical information can be obtained at the receiver and fed back to the transmitter and do not require frequent update. By exploiting channel mean and covariance information at the transmitter simultaneously, this paper investigates the optimal trans- mission strategy for spatially correlated MIMO channels. An upper bound of ergodic capacity is derived and taken as the per- formance criterion. Simulation results are also given to show the performance improvement of the optimal transmission strategy.

Strategy Selection for Moving Target Defense in Incomplete Information Game

As a core component of the network,web applications have become one of the preferred targets for attackers because the static configuration of web applications simplifies the exploitation of vulnerabilities by attackers.Although the moving target defense(MTD)has been proposed to increase the attack difficulty for the attackers,there is no solo approach can cope with different attacks;in addition,it is impossible to implement all these approaches simultaneously due to the resource limitation.Thus,the selection of an optimal defense strategy based on MTD has become the focus of research.In general,the confrontation of two players in the security domain is viewed as a stochastic game,and the reward matrices are known to both players.However,in a real security confrontation,this scenario represents an incomplete information game.Each player can only observe the actions performed by the opponent,and the observed actions are not completely accurate.To accurately describe the attacker’s reward function to reach the Nash equilibrium,this work simulated and updated the strategy selection distribution of the attacker by observing and investigating the strategy selection history of the attacker.Next,the possible rewards of the attacker in each confrontation via the observation matrix were corrected.On this basis,the Nash-Q learning algorithm with reward quantification was proposed to select the optimal strategy.Moreover,the performances of the Minimax-Q learning algorithm and Naive-Q learning algorithm were compared and analyzed in the MTD environment.Finally,the experimental results showed that the strategy selection algorithm can enable defenders to select a more reasonable defensive strategy and achieve the maximum possible reward.

Game Theory Based Decision Coordination Strategy of Agricultural Logistics Service Information System

Under the background of“Internet plus”rapid development,the agricultural logistics industry should apply information technology to every link of the agricultural product logistics industry chain.By making full use of the decision making module of the agricultural logistics information system,we can realize the full sharing of information and data resources,which makes the decision-making scheme of the agricultural logistics information system more optimized.In real economic society,the uncertainty and mismatch between the customer’s logistics service demand and the logistics service capability that the logistics service function provider can provide,that is,when the two information are asymmetric,how to use the third-party contract to coordinate the income and profit distribution of the two,to make the information system decision making more reasonable?This paper mainly studies the coordination scheme of agricultural logistics information system decision making under uncertain output and demand information by introducing the spot market.A joint coordination strategy based on revenue sharing and penalty feedback contracts proposes decentralized decision making based on game theory.Experiments show that the flexible ordering strategy proposed in this paper can reduce the logistics service supply chain’s uncertainty and significantly improve the logistics service supply chain’s overall income level through coordination contracts.

Investment strategy analysis of information system security in consideration of attackers

In order to solve the problem of howa firm makes an optimal choice in developing information systems when faced with the following three modes: development by its own efforts, outsourcing them to a managed security service provider( MSSP) and cooperating with the MSSP, the firm 's optimal investment strategies are discussed by modeling and analyzing the maximum expected utility in the above cases under the condition that the firm plays games with an attacker.The results showthat the best choice for a firm is determined by the reasonable range of the cooperative development coefficient and applicable conditions. When the cooperative development coefficient is large, it is more rational for the firm to cooperate with the MSSP to develop the information system. When the cooperative development coefficient is small, it is more rational for the firm to develop the information system by its own efforts. It also shows that the attacker's maximum expected utility increases with the increase in the attacker 's breach probability and cost coefficient when the cooperative development coefficient is small. On the contrary, it decreases when the cooperative development coefficient is large.

Strategies for Information Dissemination of Quality and Safety Crisis of Tropical Agricultural Products

The quality and safety crisis of agricultural products on the one hand is the crisis of harm of agricultural products,and on the other hand is the crisis of information dissemination. This paper analyzed the characteristics of content of the quality and safety crisis information of tropical agricultural products. On the basis of these characteristics,it came up with strategies and recommendations for solving the problems of quality and safety of tropical agricultural products,including establishing the emergency response system for quality and safety crisis of tropical agricultural products,bringing into play the social responsibilities of scientific research institutions,and bringing into play authoritative effect of scientific experts.

A hybrid specific index-related process monitoring strategy based on a novel two-step information extraction method

A two-step information extraction method is presented to capture the specific index-related information more accurately.In the first step,the overall process variables are separated into two sets based on Pearson correlation coefficient.One is process variables strongly related to the specific index and the other is process variables weakly related to the specific index.Through performing principal component analysis(PCA)on the two sets,the directions of latent variables have changed.In other words,the correlation between latent variables in the set with strong correlation and the specific index may become weaker.Meanwhile,the correlation between latent variables in the set with weak correlation and the specific index may be enhanced.In the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,respectively.Two subsets strongly related to the specific index form a new subspace related to the specific index.Then,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive information.Predicted specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related information.Finally,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.

Research on the Strategy of Information Resource Sharing between Governments in the Perspective of Game Theory

In order to improve the operational efficiency, the government can realize the streamlining policy through the mode of government information resource sharing. By building government information resources sharing, the government breaks the inter-departmental data island. The government realizes the development direction and trend of “Internet government”. This paper also takes the information resource sharing as the game process between the government management department and the information resource sharing body, and analyzes the policy and suggestion of the information resource sharing in the perspective of game theory by constructing the sharing model of the government information resource in the perspective of game theory.

Implementing an Information System Strategy: A Cost, Benefit, and Risk Analysis Framework for Evaluating Viable IT Alternatives in the US Federal Government

In the US Federal government, an analysis of alternatives (AoA) is required for a significant investment of resources. The AoA yields the recommended alternative from a set of viable alternatives for the investment decision. This paper presents an integrated AoA and project management framework for analyzing new or emerging alternatives (e.g., Cloud computing), as may be driven by an information system strategy that incorporates a methodology for analyzing the costs, benefits, and risks of each viable alternative. The case study in this paper, about a business improvement project to provide public health and safety services to citizens in a US Federal agency, is a practical application of this integrated framework and reveals the benefits of this integrated approach for an investment decision. The decision making process in the framework—as an integrated, organized, and adaptable set of management and control practices—offers a defensible recommendation and provides accountability to stakeholders.

Wind Power Bidding Strategy Based on the Minimax Regret Criterion with Limited Distribution Information

In optimal wind bidding strategy related literatures, it is usually assumed that the full distribution information (for example, the cumulative distribution function or the probability density function) of wind power output is known. In real world applications, however, only very limited distribution information can be obtained. Therefore, the “optimal bidding strategy” obtained based on the hypothetical distribution may be far away from the true optimal one. In this paper, an optimal bidding strategy is obtained based on the minimax regret criterion. The salient feature of the new approach is that it requires only partial information of wind power distribution, for example, the expectation and the support set. Numerical test is then performed and the results suggest that the method established in this paper is effective.

Highway Transport Development Strategy Based on Information Flow Impact

The characteristics of highway transport and the application of information technology in highway transport service are combined; the information flows＇ promotion and substitution on highway transport are analyzed; and the highway transport development strategy based on information flow impact is proposed.

Optimal Hedging Strategies of Stock Index Futures Based on the Perspective of Information Asymmetry

Based on two different risk measurement criteria, this article studied the optimal hedging strategies of stock index futures in the case of asymmetric information, and discussed the influence of insider information on the hedging effect. Through simulation analysis, it can be shown that hedging people with insider information can save hedging costs to a certain extent, which also explains the reason why investors try to obtain corporate information in actual investment activities.

Application Strategy of Computer Network Technology in Electronic Information Engineering

This paper discussed the application strategy of the computer network technology in the electronic information engineering. The use of computer network management technology, designed to maximize the effectiveness of computer network operations, while ensuring network management security. With the advent of the digital age, the computer network has been basically popular, so the computer network management technology research value and application value is more prominent become a digital information technology research one of the hot spots.. Good antivirus software can be easily installed in a few minutes to each NT server in the organization, and can be downloaded and distributed to all the target machine, set by the network administrator and management, it will work with the operating system and other security measures are tightly integrated to become part of the network security management, and automatically provide the best network virus defense measures. In the future, more integration of the methodologies will be considered and discussed.

On the Economic Management of Information Technology in Agricultural Development and Strategy

According to the general trend of the global infonnation industry development, we should use the latest and best technology integration, starting from a high point at the same time with the actual situation; we should formulate a feasible development plan, implementing after repeated discussions of experts. In the study and formulation of a plan, we should be sure to consider things conducive to catch up with world advanced level, enabling urban and rural economic and social development. The construction of modern agriculture, development of the rural economy and increasing farmers＇ income is a major task of building a moderately prosperous societyin the new era. Information technology and marketing are important symbols of modern agriculture throughout the entire process and all areas of modem agriculture. Vigorously developing the information industry and promoting agricultural and rural economic information are important content of agriculture and rural work in the new era.

Adjusting the information service strategies according to users' requirements—A survey of the library users' information requirements in the four library systems of Zhejiang province

Based on a survey of the circumstances of the information requirements in social science from more than 3,800 library users in 48 libraries of the four major library systems in Zhejiang Province,this paper analyzes the present main characteristics of the users' requirements to the social science document information and puts forward some proposals for adjusting the document information service strategies for the library and information institutions.

Critical Information Literacy Education Strategies for University Students in the Post-Pandemic Era

The advent of the post-pandemic era,with its risks,uncertainties,and global characteristics,puts forward urgent requirements for the innovation of information literacy education in universities.Critical information literacy has become the top priority of information literacy education.It is urgent to explore diversified and effective critical information literacy education strategies for university students.This paper mainly expounds the educational strategies of critical information literacy,such as original material analysis,reflection,and critical reading.