For drawing electrical wiring diagram of buildings, mostly two dimensional CAD programs are used. Drawing is done starting from the source (utility pole) to main power panel and then it is distributed towards to subpa...
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For drawing electrical wiring diagram of buildings, mostly two dimensional CAD programs are used. Drawing is done starting from the source (utility pole) to main power panel and then it is distributed towards to subpanels. Then, end points such as sockets, lighting armature, etc are defined. In this study several algorithms are developed in order to evaluate different part of drawing project. Tree structure of drawing is analyzed and all materials to be used are decided based on an algorithm. Apart from these, some of the supplies to be used in project but not shown in the drawings are also be chosen with certain criteria. These decision systems will result in efficiency of overall cost of the project. In wire drawing one of the most important point is the line drawing with reference to an object. Apart from light outlet all wires are referenced to walls. Furthermore, all supplies shown in drawings are allocated with reference to walls and with an angle to walls. In wiring diagram drawings, standard CAD programs have no ability for wire drawing with reference to walls. Besides that, suggestion and selection of the most appropriate supplies is not possible. These increase drawing time and result in very high cost calculation errors. These algorithms provide fast and correct implementation. By analyzing drawings in a tree structure on which users have minimal impact, and with automatic selection of supplies all type of calculation mistakes are minimized.
Wireless networked mobile robots pursuing a common objective are envisioned to be an efficient solution for many military, industrial, commercial, and environmental applications. This paper presents the design conside...
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Wireless networked mobile robots pursuing a common objective are envisioned to be an efficient solution for many military, industrial, commercial, and environmental applications. This paper presents the design considerations of an autonomous intruder detection system based on wireless networked robots. Specifically, three critical aspects of these systems, such as coordination and task allocation, communication, and map-based intruder detection, have been investigated and a multi-sensor fusion mechanism has been presented. Performance results show that the fusion of redundant information from different sensors can increase the accuracy of a system and reduce overall uncertainty in intruder detection applications.
This paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special att...
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This paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special attention is given to the factors which are important for the specific requirements of radiation leak detection. Wireless sensor networks (WSNs) provide numerous benefits to applications with low duty cycle, such as environmental monitoring, event detection, etc. However, the realization of these potential benefits directly depends on energy efficient and reliable communication and coordination capabilities of the deployed system. In this study, challenges of WSNs, deployment strategies using mobile robots, and energy harvesting techniques to maximize lifetime of WSNs are discussed. Also, a comparison of two different exploration strategies is shown with the results of our own application developed in C#. Main contributions of this study are discussions on mobile robot aided WSN deployment strategies and energy harvesting techniques to maximize WSN lifetime.
This paper presents a novel approach of using unmanned aerial vehicles (UA Vs) to establish a communication infrastructure in case of disasters. Due to the collapse of buildings, power systems, and antennas, the colla...
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This paper presents a novel approach of using unmanned aerial vehicles (UA Vs) to establish a communication infrastructure in case of disasters. Due to the collapse of buildings, power systems, and antennas, the collapse of communication infrastructure is the usual effect of disasters. In this study, we propose an emergency communications system established by unmanned aerial vehicles (UA Vs). The system is a post-disaster solution; hence, it can be used anywhere required. In this study, first we briefly explain the details of the system in three aspects: end-to-end communication, localization and navigation, and coordination Then, we evaluate the efficiency of the localization and navigation subsystem. Our simulation studies with Air Robot quadrotor helicopters in Unified System for Automation and Robot Simulation (USARSim) simulation environment show that UAV-aided communications system can be used in case of disasters to establish an emergency communications infrastructure in terms of localization and navigation.
This paper presents design considerations of indoor and outdoor navigation techniques proposed for unmanned vehicles (UV). In this paper, we mainly investigate the use and the advantages of wireless sensor networks (W...
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This paper presents design considerations of indoor and outdoor navigation techniques proposed for unmanned vehicles (UV). In this paper, we mainly investigate the use and the advantages of wireless sensor networks (WSNs) for indoor navigation, and Global Positioning System (GPS) for outdoor navigation. The system primarily uses laser range finder (LRF) measurements for indoor navigation, and is based on Extended Kalman Filter (EKF). For outdoor navigation the system uses Inertial Navigation System (INS) measurements. At periodical intervals the system integrates the measurements of an absolute sensor to improve estimations. The absolute sensor is a WSN interface for indoor navigation, and a GPS receiver for outdoor navigation. Simulation studies were conducted using Unified System for Automation and Robot Simulation (USARSim) and Player/Stage. The results of USARSim based simulations prove the advantages of integrating GPS measurements. Player/Stage based simulations show the advantages of integrating Received Signal Strength Indicator (RSSI) measurements obtained from WSN interfaces. In addition to the simulation studies, field tests with a custom-built Corobot autonomous robot platform will be realized to prove the effectiveness of the methods.
In the work the issues of stable technological modes of operation of main devices of producing polysterol - reactors have been researched as well as modes of stable operation of a chemical reactor have been presented,...
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The method of optimum control of the complex multivariate objects, based on the account of situations during the moment of acceptance of operating decisions is offered. The method allows to reduce the initial problem ...
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In order to measure the effectiveness of safety protection systems there are several design parameters. Diagnostic coverage factor is one of the most important parameter which influences all architectures. In this sho...
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Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from...
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Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, some supervised learning algorithms such as artificial neural network (ANN), RULES-3 and newly developed keREM rule induction algorithm were used to analyse to DNA sequence. In the experiments different option of keREM, RULES-3 and ANN were used, and according to the empirical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extracted rule in classifying unseen data.
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