Browsing by Author "Xiong, Naixue"

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An Effective Digital System for Intelligent Financial Environments
(2019-01-01)
Zhang, Wenyuan
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Chen, Ruey-Shun
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Chen, Yeh-Cheng
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Lu, S-Y
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Xiong, Naixue
A good set of the financial system could take care of all accounting entries and their impacts on the whole intelligent financial environment. The total flow of money and total expenditures will be reflected here. The intelligent financial system can improve the utilization of data, increase the work efficiency of financial personnel, and increase the security of financial processing services. This system could help the managers make their important financial decisions, financial budgeting, and so on. They can know about the financial conditions at any time. Based on the collection and processing of financial data, we design and analyze the related financial system to carry out the intelligent property of the financial environments. The system extends the quality of financial reporting, SOX compliance, and internal controls in a financial system, including credit management, revenue recognition, bad debts allowance. Once there is an early warning in the financial system, our proposed enhanced system could give a fast early response, and bridge a positive linkage about the planning department, finance department, and top managers, which could avoid potential exposure to bad debts. This system guarantees that the credible customers are selected, and avoid the potential risk of bad debts are incurred by a loose credit limit. It strengthens the preventive control over aging receivables management and detects the potential risk of bad debts in the earlier system alert.
Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communication?
(2014-02-10)
Xiong, Wei
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Hu, Hanping
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Xiong, Naixue
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Yang, Laurence T.
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Peng, Wen-Chih
Cloud computing represents a new paradigm where computing resources are offered as services in the world via communication Internet. As many new types of attacks are arising at a high frequency, the cloud computing services are exposed to an increasing amount of security threats. To reduce security risks, two approaches of the network traffic anomaly detection in cloud communications have been presented, which analyze dynamic characteristics of the network traffic based on the synergetic neural networks and the catastrophe theory. In the former approach, a synergetic dynamic equation with a group of the order parameters is used to describe the complex behaviors of the network traffic system in cloud communications. When this equation is evolved, only the order parameter determined by the primary factors can converge to 1. Then, the anomaly can be detected. In the latter approach; a catastrophe potential function is introduced to describe the catastrophe dynamic process of the network traffic in cloud communications. When anomalies occur, the state of the network traffic will deviate from the normal one. To assess the deviation, an index named as catastrophe distance is defined. The network traffic anomaly can be detected by the value of this index. We evaluate the performance of these two approaches using the standard Defense Advanced Research Projects Agency data sets. Experimental results show that our approaches can effectively detect the network traffic anomaly and achieve the high detection probability and the low false alarms rate. (C) 2013 Published by Elsevier Inc.
Cache Optimization Method to Reduce Network Traffic in Communication systems
(2018-01-01)
Chen, Ruey-Shun
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Chen, Yeh-Cheng
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Hu, Yu-Xi
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Horng, Shi-Jinn
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Fan, Xiaopeng
using the cloud technology with Smart Protect Network (SPN) to do file virus scanning. The overwhelming increase of population will lead to an increase network traffic usage. In most products, local cache mechanism is implemented for the purpose of reducing the network traffics. However, the database designed to store cache is limited, lot of times, cache will get purged when there are lots of queries sent and replaced by other newest queries. It is not an efficient by using traditional methodology to build or forming cache. In order to reduce the network traffic usage, the paper propose a solution, which utilize data mining technique with clustering concept, by gathering the current feedback data we have from our SPN, we are able to form these data in groups with similarity, and by deploying these data to client side, to achieve the reduction of traffic usage. In prototyping, this design for military communications can really reduce network traffic more than 20%. And the speed of file scanning time can faster more than 12%.
Design and Analysis of a Strengthen Internal Control Scheme for Smart Trust Financial Service
(2019-01-01)
Xiao, Fengjun
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Chen, Ruey-Shun
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Zhang, Wenyuan
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Chen, Yeh-Cheng
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Lu, S-Y
The construction of the financial module is very important in the intelligent management of the company. The collection, transmission, and processing of relevant item information in the financial module are of great significance to the construction of the intelligent financial module. The intelligent financial processing module can improve financial office efficiency and increase the security of the financial processing process. Section 404 of the Sarbanes-Oxley Act (SOX 404) has always played a decisive role in the quality and transparency of the financial modules of the Enterprise Resource Planning (ERP) of multinational corporations, due to the mandatory nature of the Securities and Exchange Commission (SEC). The purpose of this research is to design a set of intelligent ERP financial modules for multinational corporations that could comply with SOX 404, strengthen internal controls, and improve the security and convenience of the financial module. Thereby achieving intelligent management of financial modules and intelligent prevention of risks. Our solution could fortify the preventive controls over inappropriate payments to products with quality issues, reduce manual efforts for credit memo issuance and receipt. It could also fortify the preventive controls over financial risks potentially threatened by a sudden contingent liability concerning E&O issues. It could prevent potential and unexpected frauds arisen by a malicious user to meet the requirements of SOX over preventive and detective controls over the financial system. It could also ensure the consistency of journals between the preparer's entry and review's approval as well as improve the completeness and timeliness of financial statement assertions.
RFID-Based System on Emergency Medical Care
(2018-01-01)
Chen, Ruey-Shun
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Hu, Yu-Xi
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Chen, Yeh-Cheng
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Horng, Shi-Jinn
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Fan, Xiaopeng
This study is based on RFID technology to detect the locations of medical care personnel and patient who move around indoors; meanwhile, wearable and mobile physiological signal detection suite technique is associated to monitor the physiological status of the patient at any time. Through the positioning message of RFID, the computer system can assign medical care personnel that is nearest to the patient at emergency accident to perform medical care. Furthermore, through the use of wireless mobile device, it can be ensure that medical care personnel can obtain any emergency message of the patient at any time. Through integration of three techniques such as RFID technique, physiological signal detection suite technique and wireless mobile device, a set of emergency medical care system structure is designed in this study. Meanwhile, based on this system structure, a prototype system is developed to verify the feasibility of this system structure. Through the emergency medical care system developed in this study, no matter when and where emergency accident occurs, medical care personnel can reach the patient at the emergency accident site in the shortest time to reduce the possibility of delayed medical care.
Using cloud computing Integrated Architecture to Improve Delivery Committed Rate in Shoemaking Industry
(2018-01-01)
Ke, Gang
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Chen, Ruey-Shun
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Chen, Y. C.
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Xiong, Naixue
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Hu, Xuanzi
In recent year, many enterprise put a great deal to construct their business to business solution to increase the strength of their supply chain, only companies that can manage cloud computing ecommerce will survives in the global competition. The goal of this paper is to present an integrated cloud computing architecture and a case study highlighting the best practices for developing Cloud computing system to in shoemaking industry. We developed an electronic purchase order web base system for a shoemaking company with four business units which located in Taiwan, China, Vietnam, and Indonesia. The research method of our work is based on applying Rational Unified Process and ICAM DEFinition Model (IDEF). We use scenario with Use case and IDEF model to represent the user requirements, and object oriented technology to construct this system. We also derive critical key performance indexes (KPI) to evaluate the benefits as enterprise adopting proposed architecture.The result of the case study shows that this architecture and methodology could enable a reduction in the process time of transactions, reduced processing cost, improved accuracy, efficiency, reliability and security.
Using Intelligent Algorithms to Construct a Wafer Foundry System in Manufacturing Industry
(2019-01-01)
Chen, Ruey Shun
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Chen, Yeh-Cheng
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Yeh, Jyh-haw
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Hu, Yu-Xi
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Xiong, Naixue
The research combines two heuristic algorithms, COMSOAL and Priority rule-based algorithm, to design a production scheduling algorithm. Meanwhile it refers to dispatching rule and wafer start rule. Also base on the requirements and characters of wafer foundry companies, it designs proper capacity constraint model and wafer start rule to construct production planning system. Using simple, fast and flexible methods to generate reasonable and feasible production plans. The results of the research can give the wafer foundry companies several contributions. First, it shortens the execution time of generating a production plan. It improves the flexibility and efficiency of production planning. Second, the resolution of production plan is raised from the summary of manufacturing process and product type to full product name of order and demand allocation. It improves the resolution and accuracy of information analysis. Third, the planning period of wafer start plan is improved as well. Last, the frequency of production planning operation is improved from once a fortnight to once a week.