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In this paper, the author compares the common estimation method with UCP estimation method, summarizes the estimation methods of software development in software industry, and use UCP estimation method applied to Software Industry to estimate the workload. We expound how to apply UCP estimation method to the estimation process improvement of the companies in Software system industry, which has been...
As tacit knowledge is stored in people's heads and is difficult to be articulated, if we want to manage it pertinently we should assess it firstly. Researches on the tacit knowledge assessment are being carried out in many related fields. However, few researches are done on determining the weights of measurement items which are used to assess one's tacit knowledge. So this paper, based on the results...
In most cases, software projects exceed their estimated effort. It is often assumed that inaccurate estimates are the main reason for these overruns. Contrarily, our results show that this assumption is not reasonable in many cases. We conducted a survey to gather data on the current situation of software development effort estimation. Apart from objective criteria, we also asked the participants...
This article presents a new method to index document images. This work is done in an industrial context where thousands of document images are daily digitized, these images have to be sorted in different classes like payroll, various bills, information letters. We propose a software method which aims to accelerate this task. Usually, the number of document classes is a priori unknown. In this paper,...
Providing recommendations on trusts between entities is receiving increasing attention lately. Customers may prefer different online vendors for shopping. Thus, their preferences about various products might be distributed among multiple parties. To provide more accurate and reliable referrals, such companies might decide to collaborate. Due to privacy, legal, and financial reasons, however, they...
With the fast development of material flow industry and the widespread rising of network shopping in China, people's requirement for express information to check and track their packages becomes increasingly pressing. This paper focuses on the barcode locating for nonideal scanned express forms, and proposes a faster robust algorithm based on directional edge. First, rough location is achieved through...
This article proposed the stratified activity-based budget with the reference to the organizational structure, and based on the job centre, designed the stratified activity-based budgeting procedures; and derived the activity-based stratified resource demand computing model and the stratified activity-based budget costing econometric model; through case studies on the above analysis, the conclusions...
According to the Optimization Design of a single-precision-floating divider based on SRT, Using VHDL on a FPGA Chip and linking the Flying Transition, the author improved the length of time-lag of the key component on the divider so that the divider is suitable for the demands of adptive speech coding for its higher precision and wider operating range. In the article, the pre-sim and the post-sim...
Based on Bayesian Criterion, non-financial indicators were introduced in this paper to establish an early warning model for financial failures??D Studies were carried out over 61 companies actually under Special Treatment (ST) and indicated that 54 of the companies were correctly judged (accuracy: 88.5%). The results proved good prediction effectiveness of the financial distress prediction model.
Nowadays, social media has grown rapidly. This growth makes people enjoy sharing their activities in social media, including complains about products or services from companies. This behaviour is a big opportunity for a company to know sentiments of customer toward their company. However, classifying sentiments from messages in social media has several challenges. First, the language used in social...
This paper discusses how to detect the inquiry e-mails corresponding to pre-defined FAQs(Frequently Asked Questions). Web-based interaction such as orders and registration form on a web page is usually provided with its FAQ page for helping a user, however, most users submit their inquiry e-mails without checking such pages. Help desk operators must spend lots of time on replying to process lots of...
In this paper, we propose to use communities as a mean to organize Web services registries in a multi-registry environment. First, we propose a semantic model for Web services registry description (WSRD). A WSRD description depicts the functionalities offered by services advertised by a given registry. Thereafter, we propose an implicit approach for building communities based on the WSRD descriptions...
This paper uses listed companies as research object, selects 102 2006–2008 ST companies and 102 paired normal companies as an analysis sample, the other 40 selected in 2009 as a test sample. Logistic Regression is used to constructed Early warning model, the results show that: The model that contains the three indicators — a return on assets, asset-liability ratio and total asset turnover is able...
This thesis analyzed training risk early-warning of chain clothing stores based on BSC in four aspects of financial, customer, internal processes and learning and growth, making comprehensive utilization of monitoring in financial indicators of risk and non-financial indicators, using research methods of qualitative and quantitative fuzzy evaluation method This thesis analyzes training risk early-warning...
Based on Fisher's Linear Discriminant Analysis, the paper proposed an early warning model to predict the bankruptcy possibility for construction companies in China. Sample and variable set of the study came from 56 privately owned Chinese construction companies and their financial ratios, and 27 companies' crisis occurred during the period 2008–2009. Kolmogorov-Smirnov test was used to examine the...
With the development of the Rough Sets and Neural Network, dynamic prediction research on financial crisis has become as a developing trend. Based on this situation, this paper makes use of the Rough Sets' attribute reduction technique to reduce the financial index firstly, then imposes the Neural Network to train network so as to establish financial crisis alarming model to drop out enterprise's...
When receivable funds can not be taken back or it is almost impossible to take the funds back, the funds can be considered as diminution funds, i.e. Bad Debts, the loss resulting from the diminution is termed Bad Debt Loss. Bad Debt Loss is the major part of Diminution Accounting. Currently in our country, the checking method and application of enterprise bad debt loss are relatively standardized,...
Schema matching is the problem of finding relationships among concepts across heterogeneous data sources (heterogeneous in format and structure). Schema matching systems usually exploit lexical and semantic information provided by lexical databases/thesauri to discover intra/inter semantic relationships among schema elements. However, most of them obtain poor performance on real world scenarios due...
Handling IT support cases efficiently is very important for operational excellence of IT organizations. Many IT service centers receive thousands of cases per day, some of which are similar to previously reported cases. To improve efficiency it is important to build upon lessons learned from past cases in the resolution of new cases. Therefore, a desired functionality of case management tools is finding...
Creating an applicable and precise financial early warning model is highly desirable for decision makers and regulators in the financial industry. Although Business Failure Prediction (BFP) especially banks has been extensively a researched area since late 1960s, the next critical step which is the decision making support scheme has been ignored. This paper presents a novel model for financial warning...
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