Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable de...
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Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable degree remains challenging. In this paper we have developed 2 different linear regression models using fuzzy function point (FFP) and non fuzzy function point in order to predict the software project effort and further we have also considered that the entire projects are organic in nature i.e. the project size lies between 2 to 50 KLOC. After obtaining the software effort, project manager can control the cost and ensures the quality more accurately.
The purpose of this project is to develop control system for environment parameter in the lowland tropical greenhouse using Microcontroller. The plant growth analysis covered both inside and outside greenhouse was pre...
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The objective of this research is to improve traffic safety through collecting and distributing up-to-date road surface condition information using mobile phones. Road surface condition information is seen useful for ...
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An adaptive antenna array system adjusts the main lobe of radiation pattern in the direction of desired signal and points the nulls in the direction of undesired signals or interferers. The essential goal of beamformi...
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An adaptive antenna array system adjusts the main lobe of radiation pattern in the direction of desired signal and points the nulls in the direction of undesired signals or interferers. The essential goal of beamforming is to reduce the complexity of weighting process and to decrease the time needed for adjusting the antenna radiation pattern. In this article a new adaptive weighting algorithm is proposed for both least mean squares (LMS) and constant modulus (CM) algorithms. It is appropriate and applicable for antenna array systems with moving targets and also mobile applications as well as sensor networks. By predicting the relative velocity of source, the next location of the source will be estimated and the array weights will be determined using LMS or CM algorithm before arriving to the new point. For the next time associated to the new sampling point, evaluated weights will be used. Furthermore, by updating these weights between two consecutive times the effects of error propagation will be eliminated. Therefore, in addition to reduction in computational complexity at the time of weight allocation, relatively accurate weight allocation can be obtained. Simulation results of this investigation show that the angular error related to both LMS-based and CM-based algorithms is less than the conventional LMS and CM algorithms at different signal to noise ratios (SNRs). On the other hand, due to considering off-line process, online computational complexity of new algorithms is slightly low with respect to previous ones.
Unified modeling language-based web engineering (UWE) is a software engineering approach for the Web domain aiming to cover the whole life-cycle of Web application development. UWE uses both UML and UML extension mech...
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An implantable passive radio frequency identification (RFID) sensor tag system-on-chip (SoC) for glucose monitoring is developed in this paper. A high frequency RFID tag, a bio-sensor interface, as well as the electro...
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An implantable passive radio frequency identification (RFID) sensor tag system-on-chip (SoC) for glucose monitoring is developed in this paper. A high frequency RFID tag, a bio-sensor interface, as well as the electrodes are included in this chip. The signal of blood sugar level from the bio-sensor is detected and converted into digital data, and then the data is encrypted and transmitted to an RFID reader on top of the skin. To measure the weak current signals, a current readout circuit, a current splitter, an ADC and a potentiostat are designed in the chip. Correlated double sample (CDS) technology is used in the readout circuit to reduce the 1/f noise and the op-amp's offset. The chip is taped out in SMIC 0.13 μm CMOS process. Simulation results show that the system can measure weak current signals in the range of 10 fA-100 pA.
Time optimal control (TOC) for servomechanism is not a practical controller due to the chattering phenomenon that occurs on the presence of noise and model uncertainty. Maybe the most popular attempt to transform this...
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Time optimal control (TOC) for servomechanism is not a practical controller due to the chattering phenomenon that occurs on the presence of noise and model uncertainty. Maybe the most popular attempt to transform this controller in a practical one comes from the so called Proximate Time Optimal Servomechanism (PTOS). This approach starts with a near time optimal controller and then switches to a linear controller when the system output approaches the target. While the chattering phenomenon is avoided, this comes at an expense in performance generated by the so called “acceleration discount factor”. This paper will present a controller that makes use of dynamic damping in order to push the acceleration discount factor arbitrarily close to one, thus practically eliminating the conservatism present in the PTOS. Experimental results support the proposed design.
Abstract This paper attempts to achieve time-optimal performance for servomechanisms via a practical feedback control law. An improvement over the traditional Proximate Time Optimal Servomechanism (PTOS) is proposed i...
Abstract This paper attempts to achieve time-optimal performance for servomechanisms via a practical feedback control law. An improvement over the traditional Proximate Time Optimal Servomechanism (PTOS) is proposed in order to eliminate the conservatism present in the controller. The original PTOS switches from the nonlinear approximation of Time Optimal Control (TOC) to a linear controller as the system approaches the reference point. This switching results in a compromise in performance inasmuch as the linear controller is not sufficiently aggressive to settle the system output with acceptable levels of overshoot. The proposed controller eliminates the necessity of the switching function by making use of an elaborate nonlinear control law. Simulations and experimental results show that the proposed design achieves levels of performance comparable to that of the theoretical TOC.
This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTD...
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This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location.
This paper presents a social interactive robot Nancy that has been developed in Social Robotics laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on ...
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This paper presents a social interactive robot Nancy that has been developed in Social Robotics laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills.
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