黄帝考定星历的具体时间和过程

《史记》转述战国稷下学者邹衍所述黄帝历史如下:“‘黄帝得宝鼎神策,是岁己酉朔旦冬至,得天之纪,终而复始。’于是黄帝迎日推策,后率二十岁得朔旦冬至,凡二十推,三百八十年,黄帝仙登于天。”该记载提供了黄帝正式开始校正“黄历”置闰精准性的确切日期和过程。中国科学院国家天文台研究员赵永恒先生等,使用现代天文学提供的高精度“瑞士星历表”软件,对邹衍所记日子进行筛选,给出了史前三天入围,并认为其中的公元前4375年1月22日可信。我们以杨址C14测年数据为依据,认定其中的公元前3574年1月17日,即黄帝正式开始校正“黄历”置闰精准性的确切时间。邹衍之记还表明,黄帝们校准“黄历”前后共花费了380年时间,其间每隔19年就调整一次置闰准确性,共校准了20次,才使“黄历”置闰达到“19年置7闰”的精准性。看来,现在确应破除在黄帝制历问题上的“疑古”余绪。

Hierarchical decision-making system for real-time freeway incident response

The artificial intelligence technique is used to generate a freeway incident response plan. The incident response framework based on rule-based reasoning, case-based reasoning and Bayesian networks reasoning is presented. First, a freeway incident management system （RK-IMS） based on rule-based reasoning is developed and applied for incident management in the northern section of the Nanjing-Lianyunguang Freeway. Then, field data from the two-year long operations of the RK-IMS are analyzed. Representations of incident case structures and Bayesian networks（BNs） structures related to incident responses are deduced. Finally, the k-nearest neighbor （k-NN） algorithm is applied to calculate the similarities of the cases. The preplan generation and the control strategy by integrating the k-NN algorithm are also developed. The model is validated by using incident data of the year 2006 from the RK-IMS. The comparison results indicate that the proposed algorithm is accurate and reliable.

China’s Service Sector towards 2035:Outlook,Strategic Position and Policy Advice

China is setting out on a new journey of building a modern socialist country in all respects after achieving moderate prosperity.Modern services are an important part of China’s economy,underpinning China’s development towards a great modern socialist country.Globalization,industrial development,urbanization,innovation and income growth will drive China’s service sector development.By 2035,the service sector will account for 60.98%and 59.12%of total value-added and employment,respectively,and labor productivity in the service sector will rise from 145,500 yuan/person in 2019 to 282,300 yuan/person.The Fifth Plenum of the 19th CPC Central Committee called for“basically achieving the vision of socialist modernization by 2035.”According to the CPC Central Committee’s overall arrangements for the 2035 vision,we must identify a clear strategic position and tasks for the development of modern services as a key element of the modern industrial system,enhance service sector competitiveness,and achieve service sector modernization.To achieve this strategic goal,we must promote digitalized,intelligent,platform-based,standardized,and quality-oriented service sector development.We must give play to the decisive role of the market and the macro-regulatory role of the government in spurring service innovation,industry integration and clustering,and service sector reform and openness.

Three-way group decision making with linguistic evaluations

Based on linguistic evaluations, a linguistic threeway decision method is proposed. First, the alternatives are rated in linguistic forms and divided into acceptance, rejection and uncertainty regions. Secondly, the linguistic three-way group decision steps are provided. Specifically, the experts determine the lower bound and upper bound of the uncertainty region, respectively. When the evaluation is superior to the upper bound, the corresponding alternative is put into the acceptance region directly. Similarly, when the evaluation is inferior to the lower bound, the corresponding alternative is put into the rejection region directly, and the remaining alternatives are put into the uncertain region. Moreover, the objects in the uncertainty region are especially discussed. The linguistic terms are transformed into fuzzy numbers and then aggregated. Finally, a recommendation example is provided to illustrate the practicality and validity of the proposed method.

Fault diagnosis of chemical processes based on partitioning PCA and variable reasoning strategy

Fault detection and identification are challenging tasks in chemical processes, the aim of which is to decide out of control samples and find fault sensors timely and effectively. This paper develops a partitioning principal component analysis(PPCA) method for process monitoring. A variable reasoning strategy is proposed and applied to recognize multiple fault variables. Compared with traditional process monitoring methods, the PPCA strategy not only reflects the local behavior of process variation in each model(each direction of principal components),but also improves the monitoring performance through the combination of local monitoring results. Then, a variable reasoning strategy is introduced to locate fault variables. Unlike the contribution plot, this method locates normal and fault variables effectively, and gives initiatory judgment for ambiguous variables. Finally, the effectiveness of the proposed process monitoring and fault variable identification schemes is verified through a numerical example and TE chemical process.

Construction and realization of the knowledge base and inference engine of an IDSS model for air-conditioning cooling/heating sources selection

The knowledge representation mode and inference control strategy were analyzed according to the specialties of air-conditioning cooling/heating sources selection. The constructing idea and working procedure for knowledge base and inference engine were proposed while the realization technique of the C language was discussed. An intelligent decision support system (IDSS) model based on such knowledge representation and inference mechanism was developed by domain engineers. The model was verified to have a small kernel and powerful capability in list processing and data driving, which was successfully used in the design of a cooling/heating sources system for a large-sized office building.

Research on knowledge reasoning of TCM based on knowledge graphs

With the widespread use of Internet,the amount of data in the field of traditional Chinese medicine(TCM)is growing exponentially.Consequently,there is much attention on the collection of useful knowledge as well as its effective organization and expression.Knowledge graphs have thus emerged,and knowledge reasoning based on this tool has become one of the hot spots of research.This paper first presents a brief introduction to the development of knowledge graphs and knowledge reasoning,and explores the significance of knowledge reasoning.Secondly,the mainstream knowledge reasoning methods,including knowledge reasoning based on traditional rules,knowledge reasoning based on distributed feature representation,and knowledge reasoning based on neural networks are introduced.Then,using stroke as an example,the knowledge reasoning methods are expounded,the principles and characteristics of commonly used knowledge reasoning methods are summarized,and the research and applications of knowledge reasoning techniques in TCM in recent years are sorted out.Finally,we summarize the problems faced in the development of knowledge reasoning in TCM,and put forward the importance of constructing a knowledge reasoning model suitable for the field of TCM.

Attitude control allocation strategy of high altitude airship based on synthetic performance optimization

This paper presents a method for solving the attitude control problem of high altitude airship (HAA) with aerodynamic fin and vectored thruster control. The algorithm is based on the synthetic optimization of dynamic performance and energy consumption of airship. Firstly, according to the system overall configuration, the dynamic model of HAA was established and the HAA linearized model of longitudinal plane motion was obtained. Secondly, using the classic PID control theory, the HAA attitude control system was designed. Thirdly, through analyzing the dynamic performance of airship with fin or vectored thruster control, the synthetic performance index function with different weighting functions was determined. By means of optimizing the obtained performance index function, the attitude control of high altitude airship with good dynamic performance and low energy consumption was achieved. Finally, attitude control allocation strategy was designed for the airship station keeping at an altitude of 22 km. The simulation experiment proved the validity of the proposed algorithm.

Analysis of optimal referral reward programs for innovative offerings

A nested Stackelberg game among a provider of a product,a sender(existing customer),and a receiver(new customer)is developed to explore the optimal referral reward programs(RRPs)for innovative offerings.The results indicate that the provider should forsake RRPs and purely rely on customers'organic word-of-mouth communication under certain conditions.In particular,when the innovativeness of the referred product is extremely high,the provider should forsake RRPs completely,even though few customers will make organic referrals for the product.When the innovativeness is on other levels,the provider should make optimal RRPs decision depending on both the sender's persuasion effectiveness and the tie-strength between the two customers.Moreover,the optimal rewards increase with the innovativeness of the referred product when the provider opts to use RRPs.These results seem contrary to the existing empirical finding to some extent,and it is due to the high referral cost for making a successful referral for the high innovative offerings.

Improving Audit Judgment and Decision Making With Dual Systems Cognitive Model

This article proposes a dual system cognitive reasoning model to enhance audit judgment and decision making. The model is built on the fact that the total cognitive capacity of an individual comprises two systems of reasoning--System 1 that is unconscious, associative, implicit, more emotional and less controlled, and so forth; and System 2 that is conscious, explicit, deliberate and rule-governed, and so forth. The benefits of the proposed model that integrates these two complementary and compensatory systems are first illustrated with an example in audit planning, and second explained how the model could overcome the deficiencies of heuristics specifically in an audit context.

Reservation Based Optimal Parking Lot Recommendation Model in Internet of Vehicle Environment

In order to solve the problem that the drivers can't find the optimal parking lot timely,a reservation based optimal parking lot recommendation model in Internet of Vehicle(IoV) environment is designed.Based on the users oriented parking information recommendation system,the model considers subjective demands of drivers comprehensively,makes a deeply analysis of the evaluation indicators.This recommendation model uses a phased selection method to calculate the optimal objective parking lot.The first stage is screening which based on the users' subjective parking demands;the second stage is processing the candidate parking lots through multiple attribute decision making.Simulation experiments show that this model can effectively solve the problems encountered in the process of finding optimal parking lot,save the driver's parking time and parking costs and also improve the overall utilization of parking facilities to ease the traffic congestion caused by vehicles parked patrol.

Automated soil resources mapping based on decision tree and Bayesian predictive modeling

This article presents two approaches for automated building of knowledge bases of soil resources mapping. These methods used decision tree and Bayesian predictive modeling, respectively to generate knowledge from training data. With these methods, building a knowledge base for automated soil mapping is easier than using the conventional knowledge acquisition approach. The knowledge bases built by these two methods were used by the knowledge classifier for soil type classification of the Longyou area, Zhejiang Province, China using TM bi-temporal imageries and GIS data. To evaluate the performance of the resultant knowledge bases, the classification results were compared to existing soil map based on field survey. The accuracy assessment and analysis of the resultant soil maps suggested that the knowledge bases built by these two methods were of good quality for mapping distribution model of soil classes over the study area.

Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

The dividing wall column （DWC） is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control （MPC） is an advanced control strategy that has acquired extensive applications in various industries. In this study, MPC is applied to the process for separating ethanol, n-propanol, and n-butanol ternary mixture in a fully thermally coupled DWC. Both composition control and tem- perature inferent/al control are considered. The multiobjective genetic algor/thm function ＂gamult/obj＂ in Matlab is used for the weight tuning of MPC. Comparisons are made between the control performances of MPC and PI strategies. Simulation results show that although both MPC and PI schemes can stabilize the DWC in case of feed disturbances, MPC generally behaves better than the PI strategy for both composition control and tempera- ture inferential control, resulting in a more stable and superior performance with lower values of integral of squared error （ISE）.

Study and realization of the computer support system on feasible reasoning and scientific decision-making of projects based on WEB

With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the computer support system on feasible reasoning and scientific decision-making of projects, that is, the principles of standardization, procedure, specification, agility, currency, practicability and development. On the basis of analysis on systematic procedure, the computer support system on feasible reasoning and scientific decision-making of projects is formed based on WEB, and its general structure, system function and the methods to be realized are introduced. The data composition of this system is analyzed following the principles of integrality, development, perspicuity and consistency. Also, the model-base management system is designed for the management of model storage and management of model operation.

Land Cover Classification with Multi-source Data Using Evidential Reasoning Approach

Land cover classification is the core of converting satellite imagery to available geographic data.However,spectral signatures do not always provide enough information in classification decisions.Thus,the application of multi-source data becomes necessary.This paper presents an evidential reasoning (ER) approach to incorporate Landsat TM imagery,altitude and slope data.Results show that multi-source data contribute to the classification accuracy achieved by the ER method,whereas play a negative role to that derived by maximum likelihood classifier (MLC).In comparison to the results derived based on TM imagery alone,the overall accuracy rate of the ER method increases by 7.66% and that of the MLC method decreases by 8.35% when all data sources (TM plus altitude and slope) are accessible.The ER method is regarded as a better approach for multi-source image classification.In addition,the method produces not only an accurate classification result,but also the uncertainty which presents the inherent difficulty in classification decisions.The uncertainty associated to the ER classification image is evaluated and proved to be useful for improved classification accuracy.

Social spatial changes： Booster for a new regional policy——The event of Silao and Romita counties in Guanajuato Mexico

Today, one of the most important phenomenons is the movement of Capital and the expansion of its investments, as well as the use of resources worldwide. The movement of Capital, is changing the local space and the territories, because is not a homogeneous process; they are not in the same way and rhythm, this is because they don＇t get in the same way to global dynamics. The reorganization of the world, because the movements in Capital is a challenge, that is why, the analysis of regions demand new and different views, to boost regional development. We can tell that since a long time ago, had been developing theories and proposals not good enough, for this reason we must think to generate new proposals. The goal of this paper, is to expose the social and territorial changes in Silao and Romita Counties in the state of Guanajuato Mexico, as a result of the relocation of economic activities that lead us to start a new regional policy, that gives more satisfactory results and think about a regional policy that could reflex about territorial development focuses, specially for a public policy.

张衡科技思想的文化解读

汉代是我国科技发展的一个重要阶段,而张衡又是这一时代天文学界最卓越的人物。崔瑗《河间相张平子碑》谓其“数术穷天地,制作侔造化”;范晔《后汉书·张衡列传》认为他“尤致思于天文、阴阳、历算”,非为虚誉。清人阮元《畴人传》中将天算之学提升到正统儒学和统治术的高度,以确定张衡地位:昔者黄帝迎日推策而步术兴焉。自时厥后,尧命羲和,舜在瑢玑,三代造王,正朔递改,盖效法乾象而宣庶绩。

The Effects of Inference-Training and Text Repetition on Chinese Learners' Incidental Vocabulary Acquisition While Listening

This article reports a study of the effects of inference training and text repetition on Chinese university students＇ performance of two listening information-transfer tasks that provided built-in measures of their comprehension and opportunities for the acquisition of ten unknown target words embedded in the listening texts. One group just listened to the text once, a second group three times, while the third listened three times and received inference-training support. The results showed that text repetition had a positive effect on both comprehension and vocabulary acquisition. However, the inference-training had no additional effect. The study lends support to the findings of previous studies which have shown that repeated opportunities to process oral input have a positive effect on listening comprehension and extends these studies by showing that it also facilitates incidental vocabulary acquisition.

Multiple Social Networks in Grassroots Governance in Rural China

Existing research on grassroots rural governance in China adopts a network perspective to explore the role of traditional social vehicles including clans,clan clusters and popular beliefs in improving village governance.However,most of this research has concentrated on analyzing the way in which horizontal network relationships lead to effective village governance.It has thus to some extent neglected the basic reality of the overlapping interconnections between the ＂top-down＂ administrative system and the informal structure of village governance.In fact,an analysis that proceeds from the features of the government＇s own organizational network,the social structure of the village itself and the position of its elites in order to focus on modes of interaction within the village under the intermixture of（formal） system design and（informal） social relations,shows that differences in the composition of the government＇s promotional networks resulting from the traits of keyofficials affect the speed of policy dissemination as well as the government＇s mode of interaction with the village elites.Moreover,differences in these modes of interaction further influence the subsequent operation of self-organization based on social traditions（＂filial piety＂ or ＂morality＂）.At the same time,structural elements,including the economic and social relations of the village itself,determine whether self-organization will improve the quality of governance in the long term.This finding can serve as a reflection on and critique of the theories of ＂strong government＂ and ＂tradition＂ current in academia.