摘要：The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government ***,there is still no effective and secure way for data-driven IAGIS to fulfill dynamic demands of information sharing between government *** by blockchain and data mining,a data-driven framework is proposed for IAGIS in this ***,the blockchain is used as the core to design the whole framework for monitoring and preventing leakage and abuse of government information,in order to guarantee information ***,a four-layer architecture is designed for implementing the proposed ***,the classical data mining algorithms PageRank and Apriori are applied to dynamically design smart contracts for information sharing,for the purposed of flexibly adjusting the information sharing strategies according to the practical demands of government agencies for public management and public ***,a case study is presented to illustrate the operation of the proposed framework.

摘要：Aspect-oriented modeling can uncover potential design faults, yet most existing work fails to achieve both separation and composition in a natural and succinct way. This study presents an aspect-oriented modeling and analysis approach with hierarchical Coloured Petri Nets(HCPN). HCPN has sub-models and well-defined semantics combining a set of submodels. These two characteristics of HCPN are nicely integrated into aspect oriented modeling. Submodels are used to model aspects while the combination mechanism contributes to aspects weaving. Furthermore, the woven aspect oriented HCPN model can be simulated and analyzed by the CPN Tools. A systematic web application case study is conducted. The results show the system original properties are satisfied after weaving aspects and all design flaws are revealed. As such, the approach can support web application design and analysis in an aspect-oriented fashion concisely and effectively.

摘要：Information analysis of high dimensional data was carried out through similarity measure application. High dimensional data were considered as the a typical structure. Additionally, overlapped and non-overlapped data were introduced, and similarity measure analysis was also illustrated and compared with conventional similarity measure. As a result, overlapped data comparison was possible to present similarity with conventional similarity measure. Non-overlapped data similarity analysis provided the clue to solve the similarity of high dimensional data. Considering high dimensional data analysis was designed with consideration of neighborhoods information. Conservative and strict solutions were proposed. Proposed similarity measure was applied to express financial fraud among multi dimensional datasets. In illustrative example, financial fraud similarity with respect to age, gender, qualification and job was presented. And with the proposed similarity measure, high dimensional personal data were calculated to evaluate how similar to the financial fraud. Calculation results show that the actual fraud has rather high similarity measure compared to the average, from minimal 0.0609 to maximal 0.1667.

摘要：Sex appeal is on its way to pop up Indian advertising industry and its impact on the target audience"s perception has gained less academic attention. The question which seems to be less addressed in literature is that sex appeal will be an effective and a worthy tool of promotion in a market place, like India where stringent regulatory measures are in place and controversies and bans over such appeal in ads (advertisements) are quite common. The present study investigated the youth"s general perception towards the use of sexual appeal in advertising and its influence on effectiveness of ads. General linear model was applied to study the effect of perception on effectiveness of different sexual appeals. The results suggest that there is an influence of perception on ads effectiveness at the multivariate level.

摘要：近年来,队列智能方法逐步演变为一种基于人工智能的优化方法。本文首次采用队列智能方法对分数阶PID控制器的参数进行优化。验证了队列智能方法在分数阶PID控制器设计中的性能,并与其他方法如粒子群优化方法、遗传算法和改进的电磁算法等的性能进行比较。结果表明,与其它3种算法相比,队列智能方法在代价函数、计算时间和函数评估方面表现出更好性能。此外,队列智能方法对应的标准差表明,提出的方法在解决控制问题时具有鲁棒性。

摘要：The progress of economy and social development is the driving force of translation research and *** the deepening of global development and cooperation,global ecology and green concept has become a topic of concern and is capturing increasing worldwide *** this circumstances,green development has become the key to building global ecological civilization.“Strengthening ecological consciousness and green consciousness,shouldering ecological responsibility”has also become the main theme of the *** response to this green trend,Green Translation lays stress on the green concept,green behaviour,and the green value in translation *** flower images,which take up a large proportion of plant images in Tang poetry,are of high ecological value and *** paper takes the Translation of 300 Tang Poems as the research subject,conducts a study on the image rendering of flowers in Tang poetry from the three aspects of Green Translation:language ecology,cultural ecology and communicative ecology.

摘要：The mechanism of language’s impact on people’s mind is a black box problem in *** the 21st century it crossed the field of psychology and became an urgent problem in artificial intelligence and *** language has a highly effective role amongst all human linguistic materials on psychological *** is the mechanism of religious language impacts on the brain?This study examined the relationship between religious linguistic rhythms and brain wave *** chose 36 Koran’s sur as language material and counted the length of every sentence for definition its’*** using the same method we compared with other religious and political linguistic *** data shows the common rhythmic structure among all those language ***,we consider that clock rhythms display of bilateral regulation,psychotherapeutic impact of the canonic texts is based on harmonization inter-hemisphere attitudes and other rhythms.