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Under the deterioration of the food safety environment of food suppliers and the uncertainty of the food safety of the purchased food by individual manufacturers, this study aims to establish a mathematical model standard basis as a reference for decision evaluation on the optimal order quantity of food raw materials to satisfy the maximum expected returns, according to the food safety situations...
This paper aims to establish the optimal training investment time criteria for aesthetic medicine practitioners. We built a cost analysis mathematical model taking into consideration the maximum benefit of businesses in the aesthetic medicine industry and the incidence of medical errors and disputes. Specific functions are assumed for medical errors/disputes, training costs, and profits. This model...
This research provides a new approach, laser interference lithography (LIL), to fabricate PSS and NPSS. Yet, there are two ways to pattern hexagonal 2D array on sapphire by LIL. First is multi-exposure LIL, and the second is multi-beam LIL. In conclusion, simulation results in this research may have verified that multi-beam LIL has significantly better throughput than multi-exposure LIL; the result...
As corporate social responsibility standards become higher, this paper explores how international companies maximize the profits of shareholders and the interests of the community to meet increasingly stringent corporate social responsibility expectations. This paper uses a real options approach to evaluate the companies with corporate social responsibility before and after the change of cash flows...
During naval operations, sonar performance estimates often need to be computed in-situ with limited environmental information. This calls for the use of fast acoustic propagation models. Many naval operations are carried out in challenging and dynamic environments. This makes acoustic propagation and sonar performance behavior particularly complex and variable, and complicates prediction. Using data...
Many big data applications give rise to distributional data wherein objects or individuals are naturally represented as K-tuples of bags of feature values where feature values in each bag are sampled from a feature and object specific distribution. We formulate and solve the problem of learning classifiers from distributional data. We consider three classes of methods for learning distributional classifiers:...
Two-way satellite time and frequency transfer is a precise time transfer method and has being used to generate the TAI since 1999. Nowadays, TWSTFT links have formed a worldwide network and the utilization of the highly redundant TWSTFT data become an important topic. In our pervious study, a feasible method has been proposed, with full time transfer network data, to improve the results of TWSTFT...
This paper describes a hybrid AOA/TODA mobile station (MS) location estimation method based on the CDMA wireless communications signals. The method utilized estimates the angle of arrival (AOA) and time difference of arrival (TDOA) of downlink pilot channel. In this paper, signal parameter estimations including AOA and TDOA, and position estimation challenges in real wireless communications systems...
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