Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Chih-Yao Lo
Total Records ( 5 ) for Chih-Yao Lo
  Chih-Yao Lo , Cheng-I Hou , Hsin-Chia Hsu and Chiu-Ping You
  Problem statement: In the highly competitive market, the availability of consumer support is the key to market-based beverage stores. Consumer demands for quality service so the industry must be more active to improve the quality of management to ensure that beverage market position. In order to allow market competition to be improved for the beverage store. Approach: The system builds an information network using web-based system provides operators and consumers a direct interaction. Enter the phone number provided by the consumer via the Send Message System (SMS) verification code to obtain the online ordering drinks service. Using the Internet Information Technology makes the real-time order so that consumers can enjoy easy ordering and comfortable environment. Results: Using this internet beverage ordering system the online consumers can enjoy the choice of ordering drinks. This internet beverage ordering system would also build some databases to support, such as beverage type database, order database, outgoing regional database, these databases information will enable the industry to conduct drinks promotion strategy adjustments. Conclusion: This study uses cell phone number to enable consumers to obtain authentication codes via SMS. Necessary to convert the current beverage stores different marketing approach, through the information network and Web page interactivity, so that consumers would feel very interesting and fresh.
  Tian-Syung Lan , Chih-Yao Lo , Ming-Yung Wang and Yen-An Yu
  In this study, the four cutting parameters (cutting depth, feed rate, speed and tool nose runoff) with three levels (low, medium and high) are selected to determined the 34 = 81 sets of full experimental combinations. The ECOCA-PC3807 CNC lathe is utilized to diameter finishing turn the S45C. The surface roughness (Ra), tool wear ratio (μm-2) and cutting force are additionally measured as quality objectives. The BPN is moreover introduced to learn the selected 45 sets of experimental results. The remaining 36 sets of experimental results are furthermore used to verify and construct a multiple quality predictor of CNC turning. Considering the learning rate as 1 and momentum factor as 0.5, the results of 4000 times of BPN training through a hidden layer indicated that the prediction of surface roughness reached 95.87% of accuracy, the quality objective of tool wear ratio reached 94.32% of accuracy, the quality of cutting force reached 92.29% accuracy and the overall prediction accuracy of the multiple quality process predictor could reach 94.16%. The results not only provide the CNC turning operations with an economic and prospective multiple quality analytic method but also establish machining references for CNC turning industry with profound insight. Under the considerations of multiple qualities, this study definitely explored, expanded and realized the prediction mechanism and values of cutting parameters.
  Chih-Yao Lo
  This study is mainly to cope with the problems when a firm faces time-varying demand and receives product from a single supplier who faces random supply. The supplier`s availability may be affected by events such as natural disasters, labor strikes, manufacturing defects, machine breakdowns, or other events. A model is proposed in this research that considers a dynamic production-inventory environment: the exponential distribution of disruption, as well as the demand can be time dependent. The model explains production-inventory as a NP-hard problem, which using genetic algorithms is developed to minimize the average total cost to determinate the production cycles under various ordering policies. To evaluate the performance of the proposed algorithm, a numerical study has been conducted to compare the ordering policies under various demands in an extensive order. Based on the computational result, it can be seen that the optimal ordering policy not only should strike a balance between protecting against stockouts during disruptions but also maintaining low inventory levels of finished products and raw materials.
  Chih-Yao Lo
  For many years, researchers in both economics and policymaking have used various practices to achieve Nash Equilibrium values in Game Theory applications. Our approach is innovative in that we have combined the Multi-Agent Method with these concepts and designed a cooperative strategy for the multi-agent model constructed on the lines of ordinal utility used in economics. It is not designed for finding specific values, but instead is intended to discover the best strategic choices that will be acceptable to all parties participating in the game. The participants can input their strategies into the system from their network to handle conflict coordination problems. We also designed a corresponding method of finding solutions when other agents of conflict resolution fail. The agent mechanism not only enhances effectiveness in finding equilibrium solutions, but it also resolves the dilemmas formed when the cycle cannot be solved by playing strategic games. The present system dramatically shortens the time required for finding solutions within the game, enhances the effectiveness of devising cooperative strategies and offers as output the maximum strategic combination of payoffs obtainable by both companies.
  Jai-Houng Leu , Chih-Yao Lo and Chi-Hau Liu
  New analytical methods and tools which were called FAKDT (Fixed Average K-means base Decision Trees) on human performance have been developed and they make us look at the Enterprise in different aspects in this study. Decision Tree Clustering Method is one of the data mining methods that have been applied widely in different fields to analyze a large amount of data in recent years. Generally speaking, in the human resource incubation of an enterprise, if employees of high learning potential, high stability and high emotional quotient are selected, the return of investment in human resources will be more apparent. If employees of the above mentioned traits can be well utilized and incubated, the industry competitiveness of the enterprise will be enhanced effectively. From the personality specialty point of view, its function is to predict the efficiency of the personal achievement in correlation to his some implying personality specialties (blood group, constellation, etc.). The main purpose of this research is to get the useful information and important message about human performance from their historical records with this method. The Decision Tree Clustering Method data mining skills were improved and applied to get the critical factors that affect the human traits for its feasibility in this study.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility