International Journal of Computer Aided Engineering and Technology http://www.inderscience.com/browse/index.php?journalID=313&year=2012&vol=4&issue=1 Inderscience Publishers Ltd en-uk International Journal of Computer Aided Engineering and Technology 1757-2657 1757-2665 © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijcaet_scoverijcaet.jpg http://www.inderscience.com/browse/index.php?journalID=313&year=2012&vol=4&issue=1 http://www.inderscience.com/link.php?id=44580 Fully automated machining would require automatic inspection process planning and real-time inspection result feedback. As inspection process planning is still based on G&M codes containing low level information or vendor-specific bespoke routines, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards such as STEP and STEP-NC providing high level product information for the entire manufacturing chain, it is conceivable that both machining and inspection process planning are considered hand-in-hand to generate optimal machining and inspection sequences with real-time measurement result feedback. This paper introduces an integrated process planning system architecture for combined machining and inspection. On-machine inspection (OMI) is chosen to carry out inspection operations in-between machining operations and to provide real-time feedback to process planning. The system is able to automatically insert OMI operations for online measurement. A case study testified the feasibility of the proposed architecture. Integration of machining and inspection
Yaoyao Fiona Zhao; Xun W. Xu
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 1 - 31
Fully automated machining would require automatic inspection process planning and real-time inspection result feedback. As inspection process planning is still based on G&M codes containing low level information or vendor-specific bespoke routines, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards such as STEP and STEP-NC providing high level product information for the entire manufacturing chain, it is conceivable that both machining and inspection process planning are considered hand-in-hand to generate optimal machining and inspection sequences with real-time measurement result feedback. This paper introduces an integrated process planning system architecture for combined machining and inspection. On-machine inspection (OMI) is chosen to carry out inspection operations in-between machining operations and to provide real-time feedback to process planning. The system is able to automatically insert OMI operations for online measurement. A case study testified the feasibility of the proposed architecture.

]]> 10.1504/IJCAET.2012.044580 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 1 - 31 Yaoyao Fiona Zhao; Xun W. Xu Department of Mechanical Engineering, University of Auckland, 20 Symonds Street, Auckland, New Zealand. ' Department of Mechanical Engineering, University of Auckland, 20 Symonds Street, Auckland, New Zealand integrated process planning on-machine inspection OMI STEP-NC feedback NC machining. 2011-12-31T23:20:50-05:00 4 1 1 31 2011-12-31T23:20:50-05:00 http://www.inderscience.com/link.php?id=44581 Traffic delay is causing loss of valuable time to the general commuter and restricts the road network from functioning in an orderly manner. Researchers have concluded that millions of dollars worth of business is lost due to delay caused by road congestion, and consequently hindrance or abolishment of important business undertakings. In this research, we present a hybrid system that calculates link delay between road intersections using fuzzy logic. The aim of the system is to compute a near optimum path using the soft computing techniques such as breadth first search (BFS), depth first search (DFS) and genetic algorithms (GA). The outcomes of this study indicate that the hybrid system solves the traffic routing problem much more efficiently than the existing stand-alone techniques. The results of this research can be integrated with a traffic advisory system, which can alert a user for optimum route selection or inform civil authorities about possible traffic bottlenecks. A hybrid system for vehicle routing and traffic delay estimation
Muhammad Zahoor; Irfan Younas; Abad Ali Shah
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 32 - 48
Traffic delay is causing loss of valuable time to the general commuter and restricts the road network from functioning in an orderly manner. Researchers have concluded that millions of dollars worth of business is lost due to delay caused by road congestion, and consequently hindrance or abolishment of important business undertakings. In this research, we present a hybrid system that calculates link delay between road intersections using fuzzy logic. The aim of the system is to compute a near optimum path using the soft computing techniques such as breadth first search (BFS), depth first search (DFS) and genetic algorithms (GA). The outcomes of this study indicate that the hybrid system solves the traffic routing problem much more efficiently than the existing stand-alone techniques. The results of this research can be integrated with a traffic advisory system, which can alert a user for optimum route selection or inform civil authorities about possible traffic bottlenecks.

]]> 10.1504/IJCAET.2012.044581 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 32 - 48 Muhammad Zahoor; Irfan Younas; Abad Ali Shah University Institute of Information Technology, Pir Mehr Ali Shah Arid Agriculture University, Shamsabad, Murree Road, Rawalpindi, Pakistan. ' University Institute of Information Technology, Pir Mehr Ali Shah Arid Agriculture University, Shamsabad, Murree Road, Rawalpindi, Pakistan. ' Department of Computer Science & Engineering, University of Engineering & Technology, GT Road, Lahore, Pakistan traffic delay estimation vehicle routing fuzzy logic genetic algorithms traffic congestion road intersections soft computing breadth first search depth first search route selection traffic bottlenecks. 2011-12-31T23:20:50-05:00 4 1 32 48 2011-12-31T23:20:50-05:00 http://www.inderscience.com/link.php?id=44582 The influence of the nanotechnology on the most frequent used dual edge trigger flip-flops (DET-FF) is presented in this paper. The performance and behavioural of those flip-flops are discussed and analysed analytically. Simulation results show that each time scaling down the SPICE parameters, some of the tested flip-flops did not work properly; it seems that the structure of the transistors and the internal nodes of those flip-flops using low supply voltage under nanotechnology are the main barrier to operate properly. A new low power, high speed DET-FF based on transmission gate is proposed as efficient DET-FF at the end of this paper, using 45 nm SPICE parameters, simulation results show that the proposed DET-FF has low power and high speed at low supply voltage. The performance and behaviour of dual edge triggered flip-flops in nanotechnology
Abdoul Rjoub; Muna M. Al-Durrah
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 49 - 71
The influence of the nanotechnology on the most frequent used dual edge trigger flip-flops (DET-FF) is presented in this paper. The performance and behavioural of those flip-flops are discussed and analysed analytically. Simulation results show that each time scaling down the SPICE parameters, some of the tested flip-flops did not work properly; it seems that the structure of the transistors and the internal nodes of those flip-flops using low supply voltage under nanotechnology are the main barrier to operate properly. A new low power, high speed DET-FF based on transmission gate is proposed as efficient DET-FF at the end of this paper, using 45 nm SPICE parameters, simulation results show that the proposed DET-FF has low power and high speed at low supply voltage.

]]> 10.1504/IJCAET.2012.044582 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 49 - 71 Abdoul Rjoub; Muna M. Al-Durrah Department of Computer Engineering, Jordan University of Science and Technology, Irbid 22110, P.O. Box 3030, Jordan. ' Department of Computer Engineering, Jordan University of Science and Technology, Irbid 22110, P.O. Box 3030, Jordan dual edge triggered flip-flops low power low supply voltage nanotechnology SPICE parameters transmission gate. 2011-12-31T23:20:50-05:00 4 1 49 71 2011-12-31T23:20:50-05:00 http://www.inderscience.com/link.php?id=44583 This paper investigates the load frequency control (LFC) problem for a multi-area power system taking into consideration system parameter variations. This paper proposes an intelligent control scheme for LFC of interconnected power systems. A fuzzy logic based integral controller is proposed for two-area power system interconnected via parallel AC/DC transmission link, which is also referred as asynchronous tie-lines. The linear model of AC/DC link with HVDC regulation controller is developed and the system responses to sudden load change are studied. The simulation studies are carried out for a two area interconnected power system with non-reheat steam turbine for simplicity and without loss of generality. Suitable solution for LFC problem of two-area electrical power system is obtained by means of improving dynamic performance of power system under study. Robustness of controller is also checked by varying parameters. Simulation results indicate that the proposed control scheme work well when compared with others. Fuzzy based HVDC regulation controller for load frequency control of multi-area system
H.D. Mathur
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 72 - 79
This paper investigates the load frequency control (LFC) problem for a multi-area power system taking into consideration system parameter variations. This paper proposes an intelligent control scheme for LFC of interconnected power systems. A fuzzy logic based integral controller is proposed for two-area power system interconnected via parallel AC/DC transmission link, which is also referred as asynchronous tie-lines. The linear model of AC/DC link with HVDC regulation controller is developed and the system responses to sudden load change are studied. The simulation studies are carried out for a two area interconnected power system with non-reheat steam turbine for simplicity and without loss of generality. Suitable solution for LFC problem of two-area electrical power system is obtained by means of improving dynamic performance of power system under study. Robustness of controller is also checked by varying parameters. Simulation results indicate that the proposed control scheme work well when compared with others.

]]> 10.1504/IJCAET.2012.044583 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 72 - 79 H.D. Mathur Electrical and Electronics Engineering Group, Birla Institute of Technology and Science, Pilani-333031, Rajasthan, India. load frequency control LFC fuzzy logic AC/DC transmission links HVDC regulation controller area control error ACE multi-area power systems intelligent control fuzzy control simulation high voltage direct current power transmission. 2011-12-31T23:20:50-05:00 4 1 72 79 2011-12-31T23:20:50-05:00 http://www.inderscience.com/link.php?id=44584 The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity. An assessment of electrical load forecasting using artificial neural network
V. Shrivastava; R.B. Misra; R.C. Bansal
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 80 - 89
The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity.

]]> 10.1504/IJCAET.2012.044584 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 80 - 89 V. Shrivastava; R.B. Misra; R.C. Bansal Reliability Engineering Centre, Indian Institute of Technology, Kharagpur-721302, India. ' Reliability Engineering Centre, Indian Institute of Technology, Kharagpur-721302, India. ' School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia Campus, Qld 4072, Australia load forecasting artificial neural networks ANNs multi-layered neural models back propagation algorithm electricity demand. 2011-12-31T23:20:50-05:00 4 1 80 89 2011-12-31T23:20:50-05:00 http://www.inderscience.com/link.php?id=44585 This paper focuses on the structural and vibration analysis of a low-cost picosatellite structure to the launch load environment. This picosatellite complies with the CubeSat program design specifications, where the satellite is less than one kilogram in mass with a dimension of 10 cm³. The satellite structure is treated as a combination of beams and thin plate elements. A detailed finite element model is developed to observe its responses to the quasi-static accelerations induced by the launch vehicle. The natural frequencies of the prototype were computed numerically through finite element based methods and compared with the natural frequencies induced by the launch vehicle. It was also found that the maximum stress experienced by the structure during launch was well within the stress limits of the material. PRO/MECHANICA-based structural and random vibration analysis of picosatellite structure
Sanjay Jayaram; Mark McQuilling; Sridhar Condoor
International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 90 - 100
This paper focuses on the structural and vibration analysis of a low-cost picosatellite structure to the launch load environment. This picosatellite complies with the CubeSat program design specifications, where the satellite is less than one kilogram in mass with a dimension of 10 cm³. The satellite structure is treated as a combination of beams and thin plate elements. A detailed finite element model is developed to observe its responses to the quasi-static accelerations induced by the launch vehicle. The natural frequencies of the prototype were computed numerically through finite element based methods and compared with the natural frequencies induced by the launch vehicle. It was also found that the maximum stress experienced by the structure during launch was well within the stress limits of the material.

]]> 10.1504/IJCAET.2012.044585 International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 1 (2012) pp. 90 - 100 Sanjay Jayaram; Mark McQuilling; Sridhar Condoor Aerospace and Mechanical Engineering Department, Saint Louis University, Saint Louis, Missouri 63021, USA. ' Aerospace and Mechanical Engineering Department, Saint Louis University, Saint Louis, Missouri 63021, USA. ' Aerospace and Mechanical Engineering Department, Saint Louis University, Saint Louis, Missouri 63021, USA picosatellites power spectral density PRO/Mechanica random vibration computer aided engineering structural analysis vibration analysis launch load stress finite element method FEM modelling. 2011-12-31T23:20:50-05:00 4 1 90 100 2011-12-31T23:20:50-05:00