Zhang J.,Anhui Sanlian University
Revista de la Facultad de Ingenieria | Year: 2016
This paper analyzes the researches in accounting informatization and current application from global perspective and elaborates on relevant theories and key technologies. These theories and technologies support the construction of cloud computing big data analysis platform. On this basis, this paper also analyzes the construction of accounting big data analysis platform and proposes the corresponding function of this platform based on the basic principle of platform construction, including the comprehensive analysis, decision, forecasting and monitoring of finance. Through the framework design of accounting platform, this paper realizes the collection of accounting big data, logical processing, storage and output and establishment of security mechanism. Finally, this paper takes a group as an example and points out the problems existing in current accounting information system. On this basis, computing big data analysis platform is reasonably applied in this paper and then the application effect is evaluated, which fully reflects the advantage of this platform.
Cheng M.,Anhui Sanlian University
Agro Food Industry Hi-Tech | Year: 2017
With the rapid development of the Internet, all walks of life are developing rapidly because of its benefits. One of the major features of the Internet is information sharing. How to take advantage of the benefits brought by informatization to guide the rapid development of other industries has become the issue to be considered by the governments and scholars of different countries. This paper firstly introduces the relevant research concept boundaries, analyzes the current development situation of informatization, and then explores the formative assessment mechanism of college curriculum. The effective analysis and research is conducted through the collection of relevant data, aiming to provide some guidance for the formative assessment practice of college curriculum.
Ding X.J.,Anhui Sanlian University
Applied Mechanics and Materials | Year: 2013
To enhance the real-time and accuracy of collision detection in virtual environment, introduces oriented bounding box(OBB) technology of hierarchical bounding box collision detection algorithm:construction of bounding box, generation of bounding box tree, implementation of collision detection algorithm,overlap judgement of bounding box. Collision detection algorithm based on OBB in this article is applied to solve the problem of collision detection between rigid bodies. © (2013) Trans Tech Publications, Switzerland.
Zhang J.,Anhui Sanlian University
Chemical Engineering Transactions | Year: 2015
It is well known that electronic bank whose development speed is so quick represents the future direction of bank industry. Although electronic bank can bring some convenient ways to us, it makes us have to face some realistic problems. In this paper, two aspects are demonstrated as follows: firstly, an improved fuzzy-AHP method is proposed. In real case, it is difficult to provide exact assessments by people. Therefore, triangular membership method is developed to improve acquirement of weights of each risk factor to avoid some qualitative methods such as expert scoring. Then, combining of the characteristic of risk assessment framework of bank information system, the proposed fuzzy-AHP method is applied to obtain weights of each risk factor of bank information system from 2011 to 2013 and further obtain the risk index of each risk factor. Secondly, based on this risk index and using classification properties of support vector machine to predict the risk. Finally, the experiment demonstrates the validity and applicability of the proposed method. Copyright © 2015, AIDIC Servizi S. r. l.,.
Wang H.,Anhui Sanlian University
Chemical Engineering Transactions | Year: 2016
Data mining technology provides an effective research tool for us to process uncertain, noisy and implicit information. Rough set theory, as a kind of typical data mining algorithm, provides an effective tool for research on analysis and induction of inaccurate data, mining relations among data and discovering potential knowledge. The paper will establish a short-term load prediction model based on rough set theory. It utilizes rough to carry out attribute reduction for various historical data related to load, gets rid of those irrelative attribute to decision information and simplifies input variable so as to shorten the search space of neural network and improve the prediction performance. Copyright © 2016, AIDIC Servizi S.r.l.
Ding X.J.,Anhui Sanlian University
Advanced Materials Research | Year: 2014
We propose a collision detection algorithm based on combination of sphere and OBB. The bounding box is divided into upper and lower layers, the upper layer uses sphere to eliminate many disjoint objects, and the lower layer uses OBB to detect the collision between objects. The algorithm can save time and improve the efficiency of collision detection compared with the traditional single bounding box collision detection. © (2014) Trans Tech Publications, Switzerland.
Zhu Q.,Anhui Sanlian University
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu | Year: 2016
Purpose. The issue of bankruptcy prediction and taking corresponding effect-reduction measures has become an important research topic in the field of economy. The article mainly studies the issue how to improve the support vector machine (SVM) based on prediction effect of the financial crisis early-warning model. Methodology. In view of the improved method of the kernel function exported Riemannian geometry structure, the financial crisis early-warning system based on the support vector machine (SVM) algorithm has been developed. Findings. The improved SVM model can effectively reduce the number of support vectors so that the model can feature better capacity for generalization, and provide a more accurate classification for unknown samples. The improved SVM model has increased the classification accuracy for the original training and testing sample set. Originality. An actual analysis on an improved algorithm for kernel function has been conducted based on the data information, according to the zoom level of data information adjustment feature mapping, giving the expression of the algorithm of Riemann measures on the polynomial kernel function. There has been no other literature describing the related study yet. Practical value. For the financial crisis early warning issue, provided its scale is not large, and in consideration of the enterprise's actual interests, it is often worthwhile to pursue a better prediction effect. In this case, the application of the SVM model with an improved kernel function is a good solution. © Qi Zhu, 2016.
Shen H.,Anhui Sanlian University
IOP Conference Series: Materials Science and Engineering | Year: 2015
Au and Ag nanoparticles are mainly employed in the fabrication of biosensors owing to their unique optical properties compared to other noble metal nanoparticles. Many biosensors are fabricated for the rapid detection of different analytes such as organic and inorganic molecules, biomolecules like DNA, proteins, biotoxins and pathogens. In this mini review we mainly discuss on the usage of Au and Ag nanoparticles for the fabrication of colorimetric, SERS and two photon based photoluminescence biosensors.
Zhan X.Y.,Anhui Sanlian University
Applied Mechanics and Materials | Year: 2014
Data warehouse is a subject-oriented, integrated, stable and time-variant data collection which can be applicable in decision analysis. In a background of university teaching administration, this paper takes as the research object the data accumulated in teaching administration system over the years, primarily probes into the building of data warehouse for employment management and, by using the tool of OLAP, conducts the multi-dimensional analysis on the feedback data on graduate employment provided by the employers, in a hope of supporting the middle-level teaching administrative personnel in universities to make decisions. © (2014) Trans Tech Publications, Switzerland.
Dai R.,Anhui Sanlian University
Proceedings of the International Conference on Management, Information and Educational Engineering, MIEE 2014 | Year: 2015
English, as a language for international communication, is essential in the world today. With the rapid change and development of the society as well as the change of the qualified people needed, university students have changed their learning needs and desires of English learning. Therefore, most universities own English-majors. The English teaching methods directly affect the achievement of the aims of English teaching and the satisfaction of the learners’ needs. We should analyze English major learners in Chinese universities and find the precondition for implementing the teaching plan and improving teaching methods. The university English teaching has emphasized on improving their practical application abilities of listening, speaking, reading and writing instead of the specific explanations of words, sentences and other basic language points. In this thesis, the writer will mainly research the present teaching and learning situation, explore learners’ needs, pros and cons of current teaching methods, and aim to find effective teaching methods to better suit the needs of university English Major Learners, supported by a survey designed by the author. Also, this thesis intends to find out what kind of teaching methods are most frequently adopted in the process of teaching, what kind of possible effective teaching approach might be greatly encouraged and used in the future, and accordingly give some suggestions for English educators and learners to choose effective ways of teaching and learning. © 2015 Taylor & Francis Group, London.