cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
International Journal of Intelligent Systems and Applications in Engineering
Published by Ismail SARITAS
ISSN : 21476799     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
International Journal of Intelligent Systems and Applications in Engineering (IJISAE) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range of papers covering theory and practice in order to facilitate future efforts of individuals and groups involved in the field. IJISAE, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems in engineering. Its coverage also includes papers on intelligent systems applications in areas such as nanotechnology, renewable energy, medicine engineering, Aeronautics and Astronautics, mechatronics, industrial manufacturing, bioengineering, agriculture, services, intelligence based automation and appliances, medical robots and robotic rehabilitations, space exploration and etc.
Arjuna Subject : -
Articles 3 Documents
 1 
Search results for , issue " Vol 2, No 4 (2014)" : 3 Documents clear
Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network Gowda, C Chandre; S. G., Mayya
International Journal of Intelligent Systems and Applications in Engineering Vol 2, No 4 (2014)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and radial basis neural network. Daily Rainfall runoff model was developed for Nethravathi river basin located at the west coast of Karnataka, India. The comparative study showed Radial basis neural network performed better than generalized neural network during its evaluation by performance indicators
SLAM – Map Building and Navigation via ROS Pajaziti, Arbnor
International Journal of Intelligent Systems and Applications in Engineering Vol 2, No 4 (2014)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The presented work describes a ROS based control system of a Turtlebot robot for mapping and navigation in indoor environments. It presents the navigation of Turtlebot in self-created environment. The mapping process is done by using the GMapping algorithm, which is an open source algorithm and the localization process is done by using the AMCL pack. There are ROS built functions used in order to perform navigation of Turtlebot. The SLAM method implemented in ROS has proven a way for robots to do localization and mapping autonomously. The aim defined in paper to fulfill mapping, localization and navigation of Turtlebot in new and unknown environment is achieved.
Optimal Energy Management System for PV/Wind/Diesel-Battery Power Systems for Rural Health Clinic Ani, Vincent Anayochukwu
International Journal of Intelligent Systems and Applications in Engineering Vol 2, No 4 (2014)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Good operation of a hybrid system can be achieved only by a suitable control of the interaction in the operation of the different devices. This paper proposed a supervisory control system that will be used to control and supervise the operations of PV/Wind-Diesel hybrid power generation system. The controller was developed in such a way that it coordinates when power should be generated by renewable energy (PV panels and Wind turbine) and when it should be generated by diesel generator and is intended to maximize the use of renewable system while limiting the use of diesel generator. Diesel generator is allocated only when the demand cannot be met by the renewable energy sources including battery bank. The structural analysis of the supervisory control is described in details through data flow diagrams. The developed control system was used to study the operations of the hybrid PV/Wind-Diesel energy system for the three hypothetical off-grid remote health clinics at various geographical locations in Nigeria. It was observed that the hybrid controller allocates the sources optimally according to the demand and availability. From the control simulation, we were able to see the performance of the system over the course of the year to see which mode(s) the system spends most time in, the power supplied by each of the energy sources over the year, and the power required by the load over the year. This is a very useful manner to check how the system is being supplied and which source of energy is the most proficient in supplying the load.

Page 1 of 1 | Total Record : 3

 1 

Filter by Year

2014 2014


Reset
Filter By Issues
All Issue Vol 6, No 4 (2018) Vol 6, No 3 (2018) Vol 6, No 2 (2018) Vol 6, No 1 (2018) Vol 5, No 4 (2017) Vol 5, No 3 (2017) Vol 5, No 2 (2017) Vol 5, No 1 (2017) 2017: Special Issue Vol 4, No 4 (2016) Vol 4, No 3 (2016) Vol 4, No 2 (2016) Vol 4, No 1 (2016) 2016: Special Issue Vol 3, No 4 (2015) Vol 3, No 3 (2015) Vol 3, No 2 (2015) Vol 3, No 1 (2015) Vol 2, No 4 (2014) Vol 2, No 3 (2014) Vol 2, No 2 (2014) Vol 1, No 4 (2013) Vol 1, No 3 (2013) Vol 1, No 2 (2013) More Issue