Abstract: Disclosed are a solid electrolyte and method of manufacturing the same. The solid electrolyte may include a core including a first electrolyte represented by Chemical Formula 1, and a shell including a second electrolyte represented by Chemical Formula 2, and disposed on a surface of the core. LiaPSbX1c??[Chemical Formula 1] Here, a satisfies an equation 4?a?7, b satisfies an equation 3?b?7, c satisfies an equation 0?c?2, and X1 includes Br or I. LidPSeX2f??[Chemical Formula 2] Here, d satisfies an equation 4?d?7, e satisfies an equation 3?e?7, f satisfies an equation 0?f?2, X2 includes Cl or Br, and an ionic radius of X1 is greater than an ionic radius of X2.

Abstract: Provided is a method for predicting a wind power density. More particularly, provided are a method for predicting a wind power density using a stepwise regression analysis technique capable of estimating a wind power density at any point using a regression analysis technique by a stepwise variable selection method of performing an analysis while adding statistically important terms or removing statistically meaningless terms.

Abstract: A computer implemented method of evaluating customers in the airline industry in a given period is disclosed. Records of each customer' contribution factors, which include net revenue and number of flights, are first obtained. A score is then assigned for each of the attribute values. The records are consecutively sorted by the assigned scores, first for the net revenue, then for the number of flights. The records are further sorted by the raw values of the net revenue and number of flights, preferably until, records having different net revenue and/or number of flights have been sorted to different ranks. Finally, an evaluation score is assigned to each record which has been sorted.

Abstract: A method of building a customer retention model for commercial passenger airlines industry is described. The major contributions of this invention are: By carefully and thoroughly investigating the background and the current deregulated, competitive environment of the airline industry, a competitive market approach of defining retention for this industry is proposed in detail. A new Customer Value Metric Model (CVMM) is proposed and described. A variety of calculating methods is presented. These methods will provide airline industry more accurate and balanced measures of their high valued customers. Data elements and data sources, both internal and external, are discussed and identified. These data elements are also ranked by their potential use to the retention model. A detailed, step-by-step data analysis and model building process is described, which serves as a guideline to any analysts, project managers or other personnel who may be involved in such an engagement.

Abstract: A computer implemented method of evaluating customers in the airline industry in a given period is disclosed. Records of each customer' contribution factors, which include net revenue and number of flights, are first obtained. A score is then assigned for each of the attribute values. The records are consecutively sorted by the assigned scores, first for the net revenue, then for the number of flights. The records are further sorted by the raw values of the net revenue and number of flights, preferably until, records having different net revenue and/or number of flights have been sorted to different ranks. Finally, an evaluation score is assigned to each record which has been sorted.