The Preliminary Design and Implement of Plant Digital Information Retrieval System

[Objective] The aim was to set up a plant digital information retrieval system.[Method] Plant digital information retrieval system was designed by combining with Microsoft Visual Basic 6.0 Enterprise Edition database management system and Structure Query Language.[Result] The system realized electronic management and retrieval of local plant information.The key words of retrieval included family,genus,formal name,Chinese name,Latin,morphological characteristics,habitat,collection people,collection places,and protect class and so on.[Conclusion] It provided reference for these problems of species identification and digital management of herbarium.

On the Expansion and Realization of the Right to Environmental Information in Environmental Protection Supervision

As an innovation in the environmental governance system that breaks the traditional hierarchical structure,environmental protection supervision has not only played a significant role in protecting tangible environmental rights but also expanded the basic scope of the right to environmental information—part of procedural environmental rights.In the supervision of environmental protection,the objects of the right to environmental information and the subjects of the obligation to provide environmental information have been both expanded,with the focus shifting from government information to Party information and from administrative organs to Party organs.This vividly demonstrates the Communist Party of China’s concrete efforts to protect human rights in the field of the endeavor to build an ecological civilization.At present,the realization of the right to environmental information in environmental protection supervision still faces problems such as insufficient standards and norms,disordered practice and operation,and lack of liability guarantee.In this context,based on renewing relevant subjects’cognition of the right to know in environmental protection supervision,we should further improve and specify the rule for disclosing information about environmental protection supervision,rationally distribute the obligations for information disclosure in environmental protection supervision,and clarify the accountability rules for violating relevant requirements for information disclosure,so as to promote the overall development of the environmental protection supervision system while guaranteeing the realization of the right to environmental information.

Local mine production safety supervision game analysis based on incomplete information

Utilized fundamental theory and analysis method of Incomplete Information repeated games, introduced Incomplete Information into repeated games, and established two stages dynamic games model of the local authority and the coal mine owner. The analytic result indicates that： so long as the country established the corresponding rewards and punishments incentive mechanism to the local authority departments responsible for the work, it reports the safety accident in the coal mine on time. The conclusion that the local government displays right and wrong cooperation behavior will be changed with the introduction of the Incomplete Information. Only has the local authority fulfill their responsibility, can the unsafe accident be controlled effectively. Once this kind of cooperation of local government appears, the costs of the country on the safe supervise and the difficulty will be able to decrease greatly.

SCM Implementation Decisions of Principal-Agent under Asymmetric Information

The optimization investment policy decision of SCM-Supply Chain Management-implementation has been analysed under symmetric and asymmetric information conditions. For both conditions, SCM implementation options’ decision optimizing models have been developed. In these models, both clients and vendors try to pursue their own benefits. Based upon the principal-agent theory, the models show to what extent a principal (a client) needs to pay more to an agent (a vendor) in a context of asymmetric information. For the client, it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation of a SCM system. The results of a simulation experiment regarding SCM implementation options illustrate and verify the theoretical findings and confirm the general notion that the less informed party is obliged to pay information rent to the better-informed party.

Study on Game Model of Information Disclosure and Supervision

In recent years, the infringements of information disclosure are conspicuous in listed companies in China, which has seriously impeded the healthy development of the capital market. In this paper, the results of regulations of the infringements by means of the game theory and our findings suggest that we should witness less cases of violations when we intensify own efforts to check up and punish those violations, and lower the return of the infringement. At the same time, we would increase the effect of supervising violated behavior when we strengthen the deterrence.

Research on environmental accounting information disclosure for thermal power enterprises in China： Current situation, countermeasure and implement way

Along with the unceasing expansion of the human society production and the economic activity scale, the influence and harm of the social economy to the global environment is more and more serious. As one of the high-polluting industries in China, the environment problems of the thermal power enterprises attract attention from the country and society. It is crucial for the country to improve the laws and regulations about the disclosure of environmental accounting information gradually, and the thermal power enterprises should also disclose more valuable environmental accounting information to the public. This paper analyzes and elaborates the current situation, countermeasure and implement way of the environmental accounting information disclosure systematically.

Discussion on the Supervision of Oceanic Standards Implementation in China

To guarantee the future viability of ocean-based activity in China,standardizationis vital.Supervision of Oceanic Standards Implementation is one of the main tasks of thisstandardization and this paper both defines oceanic standards implementation supervision aswell as explaining its significance.The present situation is also examined and advice on howto improve this supervision is offered.

Chinese Procuratorialsupervision of the Implementation of Criminal Profile

In the criminal justice system, the criminal execution though is the last part, but with the conviction and sentencing of the system have the same importance. Criminal conviction and sentencing execution is guaranteed to achieve, but also fairness and justice contained in the Criminal Code. In criminal law enforcement issues related to research more deeply refined today, supervision of Criminal changes have also been made to perform individually and have a very important significance. A direct result of the implementation of the activities of Criminal debtor prison of term prison sentences and the way to change the location, and the status of implementation as well as criminal penalties for the personal interests are closely related, and therefore it is a very, important enforcement regime. Under our current legal environment, the high amount of crime, large numbers of people in custody are restdting in criminal arduous tasks. It is coupled with the existing legal provisions for change-flawed execution of supervision that is extremely prone to change in the course of execution carried favoritism, money corruption. Meanwhile, the new introduction of the ＂Criminal Law Amendment eight,＂ is for which the commutation, parole perform content changes made adjustments and changes.But for the first time, it provides for community corrections system officially to be incorporated into China＇ s Criminal Law among but the corresponding lack of prosecutorial oversight and other content specific legal provisions, changes are related to the implementation of community Corrections supervision given probation, parole, probation and other penalties to bring the practical operation of the nroblerns.

Research and application of GIS information system of Pipeline Network of Oil Field Water

Pipeline network of oil fi eld water is established on the basis of GIS geographic information and SCADA platform, and monitorthe running state of water supply system in oil fi eld mining area in real time through data acquisition, instrument measurement and control,wireless network, water quantity, water pressure and other on-line monitoring equipment. The water supply system is formed, and the informationof mass water supply system is analyzed and processed in a timely manner. The system manages the entire production, management and serviceprocesses of the water supply system in a dynamic manner in order to ensure water supply safety management, and realize the modernization,intelligence and information mode operation of the water supply system in the mining area.

The Effect of Social Responsibility Report Audit on the Quality of CSR Information Disclosure --Empirical Data from Chinese Listed Companies

As an important corporate govemance mechanism, external audit helps to improve corporate economic performance. Social responsibility report audit can supervise and constrain the disclosure of corporate social responsibility information, risk assessment and consulting planning, and improve the quality of information disclosure. Taking 2010-2013 listed companies in Shanghai and Shenzhen as samples for empirical test, we found that social responsibility report audit significantly improved the quality of corporate social responsibility information disclosure. Further study found that the greater the intensity of corporate shareholder oversight, social responsibility report audit on the quality of social responsibility to promote the quality of information disclosure more obvious. In addition, compared with the state-owned enterprises, the supervision of the major shareholders in the private enterprises to a greater extent enhanced the quality of social responsibility information disclosure.

Implementation Research of CRM System

This paper firstly discusses the importance of impl em enting CRM (Costumer Relationship Management) in the information era, studies th e elementary theory of CRM, and the relationship between CRM and ERP(Enterprise Resource Planning). Then the present situation of application of CRM system in C hina is analyzed in details. Based on the actuality and development object in th e future of ChangSha Zoomlion Heavy Industry and Technology Development CO., LTD ., the objective of CRM implementation and organizational mode of the system are determined. At last, through workflow surveying and analysis of Zoomlion, t he resolution is put forward.

Influence of Building Information Modelling (BIM) on Engineering Contract Management in Nairobi, Kenya

Building Information Modelling (BIM) is a technology and a process that has brought changes in the construction’s traditional procurement system. Kenya lacks contractual guidelines on implementation of BIM;this makes the adoption of BIM slow and difficult. Previous research has identified a gap in contractual relationships, roles and resulting risks. The objectives of this study were to investigate BIM adoption in Nairobi and to investigate the influence of BIM on Engineering Contract Management (ECM) in Nairobi Kenya. The survey research was a descriptive study with 175 responsive questionnaires. Respondents comprised of Civil Engineers, Construction Project Managers, Architects, Quantity Surveyors, Contractors and Facility Managers. Data was collected through self-administered questionnaire and in-depth interview. Descriptive analytics, correlation and Exploratory factor analysis methods were used to analyse quantitative data. Qualitative data was analysed thematically. It emerged that adoption level was at 56.6% and shallow understanding of BIM capabilities remains to be a barrier to its adoption and implementation. It also emerged that BIM improves ECM;when time, cost, quality, collaboration and return on investment improve, ECM becomes easier. Latent factors found in BIM and ECM relationship were Legal Implications, awareness and knowledge, efficiency, versatility, mandate and leadership, and competitiveness. Further, the study found out that BIM influence on ECM demands for establishment of standards, guidelines, policy, legal framework, and regulations, which can be achieved by amending the public procurement act which dictates the operation of all the other standard forms of contract. Further research should be conducted to measure whether the understanding of BIM had positively improved.

CoLM^(2)S:Contrastive self‐supervised learning on attributed multiplex graph network with multi‐scale information

Contrastive self‐supervised representation learning on attributed graph networks with Graph Neural Networks has attracted considerable research interest recently.However,there are still two challenges.First,most of the real‐word system are multiple relations,where entities are linked by different types of relations,and each relation is a view of the graph network.Second,the rich multi‐scale information(structure‐level and feature‐level)of the graph network can be seen as self‐supervised signals,which are not fully exploited.A novel contrastive self‐supervised representation learning framework on attributed multiplex graph networks with multi‐scale(named CoLM^(2)S)information is presented in this study.It mainly contains two components:intra‐relation contrast learning and interrelation contrastive learning.Specifically,the contrastive self‐supervised representation learning framework on attributed single‐layer graph networks with multi‐scale information(CoLMS)framework with the graph convolutional network as encoder to capture the intra‐relation information with multi‐scale structure‐level and feature‐level selfsupervised signals is introduced first.The structure‐level information includes the edge structure and sub‐graph structure,and the feature‐level information represents the output of different graph convolutional layer.Second,according to the consensus assumption among inter‐relations,the CoLM^(2)S framework is proposed to jointly learn various graph relations in attributed multiplex graph network to achieve global consensus node embedding.The proposed method can fully distil the graph information.Extensive experiments on unsupervised node clustering and graph visualisation tasks demonstrate the effectiveness of our methods,and it outperforms existing competitive baselines.

Construction and Application of Knowledge Graph for Quality and Safety Supervision of Transportation Engineering

Knowledge graph technology play a more and more important role in various fields of industry and academia.This paper firstly introduces the general framework of the knowledge graph construction,which includes three stages:information extraction,knowledge fusion and knowledge processing.In order to improve the efficiency of quality and safety supervision of transportation engineering construction,this paper constructs a knowledge graph by acquiring multi-sources heterogeneous data from supervision of transportation engineering quality and safety.It employs a bottom-up construction strategy and some natural language processing methods to solve the problems of the knowledge extraction for transportation engineering construction.We use the entity relation extraction method to extract the entity triples from the multi-sources heterogeneous data,and then employ knowledge inference to complete the edges in the constructed knowledge graph,finally perform quality evaluation to add the valid triples to the knowledge graph for updating.Subgraph matching technology is also exploited to retrieve the constructed knowledge graph for efficiently acquiring the useful knowledge about the quality and safety of transportation engineering projects.The results show that the constructed knowledge graph provides a practical and valuable tool for the quality and safety supervision of transportation engineering construction.

Intelligent Biometric Information Management

We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation, and functionality, and robustness refers to the ability to handle incomplete and/or corrupt adversarial information, on one side, and image and or device variability, on the other side. The proposed methodology is model-free and non-parametric. It draws support from discriminative methods using likelihood ratios to link at the conceptual level biometrics and forensics. It further links, at the modeling and implementation level, the Bayesian framework, statistical learning theory (SLT) using transduction and semi-supervised lea- rning, and Information Theory (IY) using mutual information. The key concepts supporting the proposed methodology are a) local estimation to facilitate learning and prediction using both labeled and unlabeled data;b) similarity metrics using regularity of patterns, randomness deficiency, and Kolmogorov complexity (similar to MDL) using strangeness/typicality and ranking p-values;and c) the Cover – Hart theorem on the asymptotical performance of k-nearest neighbors approaching the optimal Bayes error. Several topics on biometric inference and prediction related to 1) multi-level and multi-layer data fusion including quality and multi-modal biometrics;2) score normalization and revision theory;3) face selection and tracking;and 4) identity management, are described here using an integrated approach that includes transduction and boosting for ranking and sequential fusion/aggregation, respectively, on one side, and active learning and change/ outlier/intrusion detection realized using information gain and martingale, respectively, on the other side. The methodology proposed can be mapped to additional types of information beyond biometrics.

基于Swin Transformer的服装图像分类方法研究

在服装图像分类任务中,背景会使服装的轮廓和位置难以确定。为降低背景对服装图像分类的影响,提高分类准确度,提出了一种基于Swin Transformer的服装图像分类方法。这种方法使用新颖的Swin Transformer网络作为基础网络,利用傅里叶变换获取图像的高低频信息,筛选出合适的高低频图像,有效提取高频特征,并引入弱监督选择机制,确定服装在图像中的具体位置。为了确定这一分类方法的有效性,使用部分DeepFashion服装数据集的数据进行验证。实验结果表明,文中提出的引入高频信息和弱监督机制的Swin Transformer方法在服装图像分类上效果显著,可达84.0%的Top1准确率,相比原Swin Transformer基础模型能提升4.1%的准确率。

SPECIAL ISSUE： ANTI-CORRUPTION STRATEGIES IN TRANSITIONAL CHINA --Implications of the Financial Crisis for China＇s Information Supervision and Curbing of Financial Corruption

The US subprime crisis （financial crisis） highlights the failure of existing mechanisms of financial regulation to prevent systemic risk. Reflection shows that the fundamental causes of the subprime crisis are largely attributable to financial corruption arising from grave violations of financial information disclosure. Information supervision is an important check on financial corruption in that it serves as a means of regulating financial information disclosure and through transparency, reducing the demand for and supply of corruption. Drawing upon the recent reform of the US financial regulatory system and grounding ourselves on Chinese practice, we believe the reconstruction of the financial regulatory system should center on information supervision, with a focus on improving the system of information disclosure for financial bodies, building a unified financial information platform and an effective information-sharing mechanism, and integrating all supervisory resources into a unified and powerful force against financial corruption.

Create Your Own Data and Energy Integrated Communication Network:A Brief Tutorial and a Prototype System

In order to satisfy the ever-increasing energy appetite of the massive battery-powered and batteryless communication devices,radio frequency(RF)signals have been relied upon for transferring wireless power to them.The joint coordination of wireless power transfer(WPT)and wireless information transfer(WIT)yields simultaneous wireless information and power transfer(SWIPT)as well as data and energy integrated communication network(DEIN).However,as a promising technique,few efforts are invested in the hardware implementation of DEIN.In order to make DEIN a reality,this paper focuses on hardware implementation of a DEIN.It firstly provides a brief tutorial on SWIPT,while summarising the latest hardware design of WPT transceiver and the existing commercial solutions.Then,a prototype design in DEIN with full protocol stack is elaborated,followed by its performance evaluation.

Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery

AIM To develop a framework to incorporate background domain knowledge into classification rule learning for knowledge discovery in biomedicine.METHODS Bayesian rule learning(BRL) is a rule-based classifier that uses a greedy best-first search over a space of Bayesian belief-networks(BN) to find the optimal BN to explain the input dataset, and then infers classification rules from this BN. BRL uses a Bayesian score to evaluate the quality of BNs. In this paper, we extended the Bayesian score to include informative structure priors, which encodes our prior domain knowledge about the dataset. We call this extension of BRL as BRL_p. The structure prior has a λ hyperparameter that allows the user to tune the degree of incorporation of the prior knowledge in the model learning process. We studied the effect of λ on model learning using a simulated dataset and a real-world lung cancer prognostic biomarker dataset, by measuring the degree of incorporation of our specified prior knowledge. We also monitored its effect on the model predictive performance. Finally, we compared BRL_p to other stateof-the-art classifiers commonly used in biomedicine.RESULTS We evaluated the degree of incorporation of prior knowledge into BRL_p, with simulated data by measuring the Graph Edit Distance between the true datagenerating model and the model learned by BRL_p. We specified the true model using informative structurepriors. We observed that by increasing the value of λ we were able to increase the influence of the specified structure priors on model learning. A large value of λ of BRL_p caused it to return the true model. This also led to a gain in predictive performance measured by area under the receiver operator characteristic curve(AUC). We then obtained a publicly available real-world lung cancer prognostic biomarker dataset and specified a known biomarker from literature [the epidermal growth factor receptor(EGFR) gene]. We again observed that larger values of λ led to an increased incorporation of EGFR into the final BRL_p model. This relevant background knowledge also led to a gain in AUC.CONCLUSION BRL_p enables tunable structure priors to be incorporated during Bayesian classification rule learning that integrates data and knowledge as demonstrated using lung cancer biomarker data.