Version-1 (Jan-Feb 2016)
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | NLP for Automated Conceptual Data Modeling |
| Country | : | India |
| Authors | : | Suraj A. Jogdand || Mr. Pramod B. Mali |
Abstract: One of the procedures for obtaining the better understanding of the system by splitting the large system into smaller parts, this procedure is termed as analysis. Manually creating softwareartifacts and building UML models from natural language is a complex job. We represent diagrammatically structure of data by ER diagram. This paper represents the use of heuristics picked up from the syntactic and semantic learning for the automatic formation of database plan, which leads us to the identification and methodology to generate Entity-Relationship(ER) through NLP.
[1] Pranitha Reddy, R C Balabantaray, "Improvisation of the DocumentSummarization by combining the IR techniques with Code-Quantity andAttention Linguistic Principles."International Journal of Engineering andInnovative Technology. (IJEIT) Issue 2012.
[2] Elena Lioret, Maria Teresa Roma-Ferri, Manuel Palomar, "Compendium: A text summarization system for generating abstracts of research papers", Data & Knowledge Engineering, Science Direct 88 (2013) 164-175.
[3] Brill, E."A Simple Rule-Based Part of Speech Tagger. In: Proceedingsof the Third Conference on Applied Natural Language Processing", ACL,Trento, Italy (1992) 152-155.
[4] Buchholz, E., Cyriaks, H., Dusterhoft, A., Mehlan, H., and B. Thalheim.,"Applying a Natural Language Dialogue Tool for Designing Databases. In:Proceedings of the First Workshop on Applications of Natural Languageto Databases."(NLDB'95), Versailles, France (1995) 119- 133.
[5] Eick, C. F. and Lockemann, P.C."Acquisition of Terminology KnowledgeUsing Database Design Techniques". Proceedings ACM SIGMODConference, Austin, USA (1985) 84-94.
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | A Preprocessing Scheme for Line Detection with the Hough Transform for Mobile Robot Self-Navigation |
| Country | : | Nigeria |
| Authors | : | Gideon Kanji Damaryam || Haruna Abdu |
Abstract: This paper presents the pre-processing scheme used for a vision system for a self-navigating mobile robot which relies on straight line detection using the Straight Line Hough transform. The straight line Hough transform is an Image Processing technique for detection of straight lines in an image by transforming points in the image to another image in a way that accumulates evidence that the points from the original image are constituents of a straight line type feature from the original image. The pre-processing presented includes image re-sizing, conversion to gray scale, edge detection using the Sobel edge-detection filters, and edge thinning with a newly developed method that is a slight modification of an existing method. The newly developed method has been found to yield thinned images more suitable for later stages of this work than other thinning methods. Output from the pre-processing scheme presented is used as input for the remainder of the vision-based self-navigation system.
Keywords: Edge-detection, Hough transform, Image Processing, Machine vision, Pre-processing
[1]. G. K. Damaryam,A Hough Transform Implementation for Line Detection for a Mobile Robot Self-Navigation System, International Organisation for Scientific Research – Journal of Computer Engineering, 17(6), 2015
[2]. G. K. Damaryam, A Method to Determine End-Points of Straight Lines Detected using the Hough Transform, International Journal of Engineering Research and Applications, 6(1), 2016
[3] G. K. Damaryam, Visions Systems for A Mobile Robot based on Line Detection using the Hough Transform and Artificial Neural Networks, doctoral diss., Robert Gordon University, Aberdeen, United Kingdom, 2008.
[4] P. Hough, Method and Means for Recognising Complex Patterns, United State of America Patent 3069654, 1962.
[5] R. M.Inigoand R. E. Torres, Mobile Robot Navigation with Vision Based Neural Networks, Proc. SPIE 2352, Mobile Robots IX, 2353, 68-79, 1995
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Effect of Angle Orientation of Flat Mirror Concentrator on Solar Panel System Output |
| Country | : | Iraq |
| Authors | : | Assist.prof Dr.Ali H.AL-Hamadany || Assist.prof. Dr.Faten Sh. Zain Al-Abideen || Jinnan H. Ali |
Abstract: In this research two flat glass mirrors is used as concentrator of solar panel system. The mirrors increase's the concentration of sun light ray on the solar module. Anew model of solar panel system is designed by mean of software Zemax in order to find best possible inclination angle of the concentrator that improves the performance of the solar panel. So the efficiency is 59.5% for designed system with inclination angle 60° of the concentrator. Then a practical design for the solar panel system with concentrators is established. The outdoor measurements for the practical design indicated that the output power and efficiency is increasing by increasing the inclination angle of the concentrator and reaches its maximum value at 60o at different times of the date 5-2-2014. Also the results showed that the maximum value of efficiency is 0.85 at 11 o'clock at 60o. While the maximum value of the output power is 72.8w at 12 o'clock of the same day.
Keywords: solar panel, concentrators, flat mirror concentrator. .
[1]. Ahmed F. Atwan, Naseer K. Kasim, Ala'a H. Shnieshil, "PV Solar Panel Performance under the Effect of Dust in Baghdad", RONCHI, Italy, N.3, PP.379-388, 2012.
[2]. Karvelas .E, Papadopoulos A., Dousis D., Markopoulos Y. P., Mathioulakis E., Panaras G., Vamvakas V. and Davazoglou D., '' Mirrors Based on Total Reflection for Concentration PV Panels'', 4th International Conference on Solar Concentrators for the Generation of Electricity or Hydrogen, pp 165-168, Attiki, Greece, 2002.
[3]. Maria B., ''Optical Efficiency of Low – Concentrating Solar Energy Systems With Parabolic Reflectors'', 2004.
[4]. David N. W., ''Improved boost mirror for low concentration photovoltaic solar power systems'', Silver Spring, Maryland, e-mail: davidnelsonwells@yahoo.com, 2009.