An embedded system for knowledge-based cost evaluation of molded parts

Ko, Kwang Hee; Pochiraju, Kishore; Manoochehri, Souran

doi:10.1016/j.knosys.2006.04.022

Cited by 16 publications

(8 citation statements)

References 17 publications

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“…We have implemented SMAC [19] and TMAC [20] which are the most widely used MAC protocols. We have simulated 50 rounds using 100 nodes in Random and Grid topologies for MicaZ, Imote2 and TelosB [15][16][17][18] motes. The radio ranges were selected to be 100 meters for MicaZ and TelosB and 30 meters for Imote2 and SMAC was chosen as the resource sharing mechanism.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…This simulator can offer two default MAC schemes SMAC [19] and TMAC [20] to choose from apart from customizing a new protocol. We have also been deploying normal air interfaced motes such as imote2 [15], TelosB [16], MicaZ [17] and Gumstix computers [18] in our work related to vehicular and urban sensing and in-pipe water monitoring [1,[24][25][26][28][29][30]. We were faced with the challenge of simulating these two different environments and applications into a single simulator.…”

Section: Introductionmentioning

confidence: 99%

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A Simulation Platform for Evaluating RFID and WSN’s Energy Efficiencies

Nasir

Soong

2013

JCOMSS

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Advances in the wireless, RFID and sensor technologies has given rise to a plethora of diverse WSN motes that can be used in association with numerous applications. Experimenting with new MAC algorithms and various functionalities on a real sensor network to obtain energy efficiency is both time consuming and expensive especially when these different mote platforms are deployed in one application. Generally Simulators are used to approximate the performance of MAC protocols. Out of the numerous simulators available, none can simulate the energy efficiencies given different types of motes and environments in one application. Hence, the need of a simulation platform for a mix deployment of different types of WSNs and RFIDs is felt to access application performance requirements while curtailing energy consumption to enhance application lifetime. In this paper, we presents an extension of our effort EnergySim [1], which is a simulation platform developed dedicatedly for evaluating energy efficiencies. In this paper we have discussed the simulation modes, methodology and architecture of our proposed simulator with some future extensions presented at the end of the paper.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Simulation Platform for Evaluating RFID and WSN’s Energy Efficiencies

Nasir

Soong

2013

JCOMSS

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“…A 'True' predicate value is considered satisfaction of the imposed constraint, which is interpreted at the component-level as proper configuration of the component. This methodology of building a parameter dependency graph to trace the requirements into design has been successfully used for mechanical design checking [7]. For example, consider an unmanned air vehicle (UAV) system [8], which consists of batteries, motors, propellers, controller, and onboard computation, sensors and communication elements.…”

Section: Structure Of Physical Domain Knowledgebasementioning

confidence: 99%

Cyber Physical System Integration and Configuration Guided by Satisfiability Modulo Theories

Pochiraju

Narain²

2015

2015 IEEE International Conference on Information Reuse and Integration

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Cyber Physical Systems (CPS) are increasingly required to address sophisticated and complex set of stakeholder, security, regulatory policy and physical requirements. CPS employ numerous and interacting software, hardware, control and communication sub-systems that collectively address the system requirements. This paper describes a methodology that applies Satisfiability (SAT) or Satisfiability Modulo Theory (SMT) solvers to guide system architects during the integration, diagnosis, reconfiguration and/or redesign of sub-systems. The system integration problem is posed as search for a feasible configuration in a constraint-based representation. Physical, software and control behaviors of the system and the governing physical laws are translated into a network of interconnected parametric models and as algebraic and symbolic constraints. The methodology entails solving the complete set of constraints for feasible configurations. In the absence of feasible configurations, either the conflicting requirements are renegotiated or a maximally satisfiable subset of constraints is found, that then drives a redesign of sub-systems.

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“…Several research efforts [5,6,7,8] have developed knowledge-based systems for product and project cost estimation purposes. Some of these systems were developed both as a decision-making support system for choosing the manufacturing process, machines and material of products and as a cost estimation solution based on the selected options.…”

Section: Research On Knowledge-based Systems For Qto and Cementioning

confidence: 99%

A Knowledge-Based Framework for Quantity Takeoff and Cost Estimation in the AEC Industry Using BIM

Aram

Eastman

Sacks

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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An important set of information provided through Building Information Modeling (BIM) platforms are quantitative properties of design elements and assemblies. The capability to extract or deduce such quantitative properties from explicit and implicit model information is essential for bidding, procurement, production planning, and cost control activities in the AEC projects. Current solutions for quantity take off (QTO) and cost estimation (CE) are developed based on the assumptions that the design models are suitable, contain adequate information to perform these tasks efficiently and accurately. In practice often these criteria do not exist in the models that cost estimators receive. Many estimators, engineers and managers distrust BIM operations as a result or find it difficult to adopt a BIM-based preconstruction process. This leads to a cumbersome, manual and error-prone QT and CE process currently used by most construction companies. In order to overcome these shortcomings, we have developed a framework for a knowledge-based system to perform model based QTO and CE. This framework includes domain, reasoning, task and interface layers. This paper reports on the progress on an ongoing research effort which so far mostly focused on developing a domain layer and rule libraries for the reasoning layer. The domain layer contains a knowledge base which along with rule libraries were developed by acquiring and representing domain experts' knowledge. The rule libraries include modules of rules to infer knowledge about different product features. The inferred knowledge will enable providing and representing model information in a compatible format for QTO and CE tasks. It facilitates filtering, grouping and representing feature information provided in design models based on criteria that determines their true cost behavior. Finally, this knowledge will enable forecasting the properties of product features absent from design models. Examples are drawn from various fields inside and outside of the AEC industry, with a focus on the precast concrete industry. KeywordsKnowledge based systems, knowledge inference, quantity take off, cost estimation, precast concrete

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An embedded system for knowledge-based cost evaluation of molded parts

Cited by 16 publications

References 17 publications

A Simulation Platform for Evaluating RFID and WSN’s Energy Efficiencies

A Simulation Platform for Evaluating RFID and WSN’s Energy Efficiencies

Cyber Physical System Integration and Configuration Guided by Satisfiability Modulo Theories

A Knowledge-Based Framework for Quantity Takeoff and Cost Estimation in the AEC Industry Using BIM

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