International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

                                                                                                                                                                                                   ISSN : 2278 7917 

Call For Papers

January 2019

  Submission         January 10

  Acceptance         January 20

  Publication          January 30

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International Journal of advanced studies in Computer Science and Engineering (IJASCSE) is here to provide a timely and broad coverage of research in ever-challenging field of Computer Science and Computer Science Engineering. IJASCSE is an interdisciplinary, peer reviewed, fully refereed, monthly, Open Access journal for research scholars with a mix of regular and theme based issues to share their new and advanced research in Computer Science and Engineering. 


The papers published at IJASCSE are currently Abstracted & Indexed by some world famous databases.

 Call For Papers

December  2018

     Submission            December 10

      Notification            December 20

      Publication            December 31

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Open Access Database


IJASCSE is an online peer reviewed quality publication, which publishes research papers from diverse fields in computers, sciences, engineering and technologies that emphasizes new research, development and their applications. It provides an open access database for all who are interested to exchange their research work, technical notes & surveying results among professionals through out the world.

 

 IJASCSE volume 7 issue 07 (Theme: Data Mining & Engineering)                            

 

COMPARATIVE ACCURACY OF REGRESSION LOGISTIC ALGORITHM AND C4.5 BASED CHI SQUARED AND PARTICAL SWARM OPTIMIZATION FOR PREDICTION
FEASIBILITY OF CREDIT GIVING

Andriansah, Achmad Solichin

 

Abstract-In this study comparation algorithm classification Logistic Regression with C4.5 optimized using Partical Swarm Optimization (PSO) and Chi Squared to get the highest accuracy value. In doing this research is done validation and conversion to find the processed data. Dataset testing was performed using Logistic Regression and C4.5, then performed optimization with PSO and Chi Square techniques for selection of attributes. The accuracy of the algorithm will be tested with Confusion Matrix. From the test result, Logistic Regression based on Chi Squared and Partical Swarm Optimization yield better accuracy equal to 92,053%

 

Formulation and Optimization of a Four Echelon Bi-Objective Supply Chain Network Design Model Considering Cost & Time Uncertainty
Hasin Md. Muhtasim Taqi, Sayem Ahmed, Riyad Evne Rashid, Nazib Ahmed Khan

 

Abstract-In this paper, a bi-objective optimization model for supply chain network designs problem is presented where customer demand uncertainty is also considered. It is a four-echelon supply chain network design considering- supplier, manufacturing plant, distribution center & customer nodes. The main purpose of establishing this new supply chain network design[G1]  is to determine the quantities of components made by suppliers, the products produced by the manufacturing plants in different periods, the number and locations of the warehouses, the quantities of products transported between the supply chain entities, the inventory of products in warehouses and plants, and the shortage of products in periods such that both the expected and the variance of the total cost is minimized.


Development of a 3D Intuitive Interaction Interface for Head-Mounted Virtual Reality System
Juin-Ling Tseng

 

Abstract —To show the effect of integration, this research developed a set of 3D models for the system display. This system could not only allow the user to view realistic 3D virtual scenes through the HTC Vive but also allow the user to open function options through the Manus glove to realize such manipulation functions as selecting, zooming, rotating, switching models, and displaying 3D model information, etc. The development of this system verified that the intuitive 3D interaction system provided a method that was closer to natural manipulation.

 

A comparative and extended Hückel analysis of fullerene molecule in graphene device junctions

Shikha Marwaha, Milanpreet Kaur, Ravinder Singh Sawhney, Derick Engles

 

Abstract- In this paper, we analyse the C20 fullerene in molecular device configuration. The two electrode model is designed with graphene sheet as contacts. The C20 fullerene molecule is sandwiched in between three different device configurations formed by carbon, boron and nitrogen sheets as electrodes. Next, the electrode-molecule-electrode model is scrutinized using extended Hückel theory and non-equilibrium green function. The three devices formed are examined and compared for current and conductance analysis.

Keywords- component; Comparative Accuracy, Data Mining, Classification, Credit, Logistic Regresion, C4.5.












KeywordsSupply chain management; Uncertainty; Mixed-integer nonlinear programming; NSGA-II; Bi-objective optimization; GA;













Keywords- Head-mounted virtual reality system, finger posture motion tracking, HTC Vive, Manus glove, Unity 3D










Keywords- C20 fullerene, Graphene sheet, Extended Hückel Theory (EHT), Non-equilibrium Green Function (NEGF), Graphene

accuracy of regression logistic algorithm.pdf
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supply chain management_1.pdf
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head-mounted virtual reality system.pdf
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extended hckel theory eht.pdf
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