Journal of Computational Science & Engineering

¡¡

¡¡

¡¡

¡¡

¡¡

ISSN 1710-4068                ACSS home     Journal's home     

    J. Comput. Sci. Eng.  Vol. 27 (2016) 775-786
¡¡

Optimized Research of Batch Query for Detailed Call Records

¡¡
¡¡

Menglin Liu, jianguang Liu

¡¡ ¡¡
J. Comput. Sci. Eng. 27 (2016) 775-778 ¡ªPublished November 25, 2016 ¡¡ ¡¡
¡¡

Abstract: For Telecom operators, the query for detailed call records is an important window to provide services for the outside world, which can provide the service for users or public, inspection, law and other units. For Shandong Unicom Corporation£¬due to the current query system of detailed call records can only achieve the query of a single number or batch numbers in a single account period, but it can¡¯t achieve the query such as batch number in a multi-account period. In order to solve this problem, this paper proposes an optimization plan of batch query for detailed call records and gives the detailed implementation process, and batch inquiry for batch numbers in the multi-billing periods is achieved. Practice has proved that this optimization has achieved the batch query for detailed call records within a multi-account period ,and the implementation process is very simple, efficient, and the query results is fairly accurate, so it has a certain value of application and academic.

¡¡ ¡¡
Keywords: Detailed call records; Batch query; Optimization; Stored procedure.

: Download (free)  CSE-PDF

¡¡
¡¡

RSM-BASED Optimization of Enzymatic Hydrolysis Conditions for Chicken Bones

¡¡
¡¡

Shuqian Li

¡¡ ¡¡
J. Comput. Sci. Eng. 27 (2016) 779-782 ¡ªPublished November 25, 2016 ¡¡ ¡¡
¡¡

Abstract: The response surface methodology was used to study the enzymolysis technology of chicken bone and the enzymolysis technology model was established so as to obtain the optimum enzymatic hydrolysis technology conditions. Five factors, namely the size of bone, enzymolysis temperature, time of enzymolysis, solid-liquid ratio and quantity of enzyme were investigated using one way ANOVA. Then the model was established via response surface optimization. The results showed that the optimum enzymolysis conditions were: bone size: 1.9cm, the enzymolysis time 2.5h, and enzymolysis temperature 63¡æ£¬ the obtained chicken bone enzymolysis production has an DEH of 0.921.

¡¡ ¡¡
Keywords: Response surface methodology; Enzyme hydrolysis; Chicken bones.

: Download (free)  CSE-PDF

¡¡
¡¡

The Influences of Digitalization Technology on the Essence of Photography

¡¡
¡¡

Quan Jin

¡¡ ¡¡
J. Comput. Sci. Eng. 27 (2016) 783-786 ¡ªPublished November 25, 2016 ¡¡ ¡¡
¡¡

Abstract: Based on the theory and practice combination of methods, emphatically from the relationship of photography and technology, analyzes digital technology in the change of the photography invent the authenticity, rich photography creation technique of expression and fuzzy photography creation of professional limit and so on the impact of photography creation, from the main ideology and cognitive aspects steering Angle analysis photography formed social causes, this paper reveals the development of digital technology on the contemporary photography creation important significance to help better understanding the photographer photography art, understand the influence of digital technology on photography in constructing the important role of Chinese culture.

¡¡ ¡¡
Keywords:Photography; Digital technology; Influence.

: Download (free)  CSE-PDF

¡¡
¡¡

Study on Risk Factors of Mild Cognitive Impairment: Based on Decision Tree Model

¡¡
¡¡

Xiao Wang and Zongjun Guo

¡¡ ¡¡
J. Comput. Sci. Eng. 27 (2016) 787-790¡ªPublished December 25, 2016 ¡¡ ¡¡
¡¡

Abstract: Collect demographic, life and clinical factors of patients with mild cognitive impairment(MCI), analysis of MCI factors and set up high-risk factors model by use the decision tree data mining methods. 380 patients were selected from our hospital department of health and neurology clinic or hospital treatment during October 2014 to October 2016, The demographics, living habit of patients and Clinical factors were collected, C5.0 decision tree algorithm was adopted to establish the mild cognitive impairment risk factor prediction model, use the Logistic regression analysis and chi-square to assist the decision tree model. According to the decision tree model, the model prediction accuracy was 78.95%, age was the most important variable factors for MCI, sleep, exercise, diabetes, education, drinking were important variables to MCI. According to result of Logistic regression analysis, age, drinking, sleep were independent risk factors for MCI, the model prediction accuracy was 66.32%, results had significant difference (P<0.05). The decision tree model was superior to logistic regression model in the prediction accuracy for MCI happened, age, diabetes, drinking, insomnia were risk factors for MCI, exercise and education were the protective factors for the MCI.

¡¡ ¡¡
Keywords:Photography; Digital technology; Influence.

: Download (free)  CSE-PDF

¡¡

                               ¡ª¡ª from ACSS

¡¡

About Us | Site Map | Privacy Policy | Contact Us |  Copyright © 2004 - 2016 The American Computational Science Society

¡¡

¡¡