Taiwan Association of Engineering and Technology Innovation: E-Journals
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    887 research outputs found

    The GDQ Method of Thermal Vibration Laminated Shell with Actuating Magnetostrictive Layers

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    The research of laminated magnetostrictive shell under thermal vibration was computed by using the generalized differential quadrature (GDQ) method. In the thermoelastic stress-strain equations that contain the terms linear temperature rise and the magnetostrictive material with velocity feedback control. The dynamic equilibrium differential equations with displacements were normalized and discretized into the dynamic discretized equations by the GDQ method. Two edges of laminated shell with clamped boundary conditions were considered. The values of interlaminar thermal stresses and center displacement of shell with and without velocity feedback control were calculated, respectively. The purpose of this research is to compute the time responses of displacement and stresses in the laminated magnetostrictive shell subjected to thermal vibration with suitable controlled gain values. The numerical GDQ results of displacement and stresses are also obtained and investigated. With velocity feedback and suitable control gain values are found to reduce the amplitude of displacement and stresses into a smaller value. The higher values of temperature get the higher amplitude of displacement and stresses. The GDQ results of actuating magnetostrictive shells can be applied in the field of morphing aircraft (adaptive structures and smart materials) to reduce and suppress the vibration when under aero-thermal flutter

    Slow Learner Prediction Using Multi-Variate Naïve Bayes Classification Algorithm

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    Machine Learning is a field of computer science that learns from data by studying algorithms and their constructions. In machine learning, for specific inputs, algorithms help to make predictions. Classification is a supervised learning approach, which maps a data item into predefined classes. For predicting slow learners in an institute, a modified Naïve Bayes algorithm implemented. The implementation is carried sing Python.  It takes into account a combination of likewise multi-valued attributes. A dataset of the 60 students of BE (Information Technology) Third Semester for the subject of Digital Electronics of University Institute of Engineering and Technology (UIET), Panjab University (PU), Chandigarh, India is taken to carry out the simulations. The analysis is done by choosing most significant forty-eight attributes. The experimental results have shown that the modified Naïve Bayes model has outperformed the Naïve Bayes Classifier in accuracy but requires significant improvement in the terms of elapsed time. By using Modified Naïve Bayes approach, the accuracy is found out to be 71.66% whereas it is calculated 66.66% using existing Naïve Bayes model. Further, a comparison is drawn by using WEKA tool. Here, an accuracy of Naïve Bayes is obtained as 58.33 %

    Long-term Structural Performance of Simplified Slab System with Steel Deck-plate and SFRC

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    Slab is one of the most important members in building because it covers the largest amount of total structural members. The structural type and construction method of a slab can have a large influence on the construction period and the amount of structural materials. This study investigates a simplified slab system with simple construction procedures. The simplified slab system consists of steel deck plate and steel fiber reinforced concrete (SFRC) without conventional reinforcing bar placing in construction field. The purpose of this study is to evaluate the long-term structural performance of a simplified slab system that replaces the form work and tensile reinforcement using structural deck-plate and replaces the temperature reinforcement using steel fiber reinforced concrete. Two continuous-span slab specimens were tested and analyzed in the view-point of long-term serviceability such as deflection and crack, and evaluated the structural capacity and behavior

    The Development of a New Paper Pallet Machine

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    In modern industry world, logistics plays an import role of enhancing the efficiency of shipping goods by use of pallets. The shipping pallets used in modern industry sites are generally made of metal, plastic, wood, or paper. Among them, the wood pallet is used most often by many firms because of low manufacturing cost. However, a wood pallet is not the best shipping selection by use in the area of air cargo transportation because of its weight and from the perspective of environmental preservation. Thus, for air cargo transportation, paper pallet is a better shipping selection because of its light weight advantage and also a good shipping tool for upgrading the competitiveness ofTaiwan’s electronic industry by reducing its air cargo shipping cost. In current paper pallet manufacturing machine requires many workers to work with and also generates many wasted papers, which is not a good way from the perspective of reducing cost and environmental preservation. A new manufacturing approach was thus proposed and a new machine was also designed to manufacture the newly designed paper pallet. The new paper pallet design was successfully implemented and the new prototype machine was also successfully developed. At least 20% of paper was saved comparing to the same size of paper pallet made by the current best existing paper pallet machine. And the workers used in new manufacturing process of making paper pallet were also reduced at least 10 workers comparing to the process of current existing paper pallet manufacturing machine

    Pumped-Storage Scheduling Using Glowworm Swarm Algorithm

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    This paper presents new solution methods and results based on a glowworm swarm algorithm for solving the 24-hour pumped-storage generation scheduling problem. Complete solution algorithms and encoding/decoding techniques are proposed in the paper. The optimal schedules of both pumped-storage and thermal units are concurrently obtained within the evolutionary process of evaluation functions. Significantly, no hydro-thermal iteration is needed. The proposed approach is applied with success to an actual utility system, which consists of four pumped-storage units and 34 thermal units. The results indicate the attractive properties of the glowworm swarm algorithm in practical application, namely, a highly optimal solution cost and more robust convergence behaviour

    Experimental Study of Leaching and Penetration of Nitrite ions in Nitrite-type Repair Materials on the Surface of Concrete

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    This study aimed to clarify the leaching properties of nitrite ions in nitrite-type repair materials exposed to rainfall. Repaired concrete specimens were prepared for leaching tests using a lithium nitrite solution, and the amounts of leaching and penetration of nitrite ions were measured under simulated rainfall. The results demonstrated that the amount of leaching could be controlled by using polymer cement paste and mortar surface coatings containing lithium nitrite solution, and by using polymer cement mortar surface coatings following direct lithium nitrite solution coatings. Furthermore, the amount of nitrite ion leaching in all cases was lower than the discharge standard value established by the water pollution control law

    Position Control and Novel Application of SCARA Robot with Vision System

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    In this paper, a SCARA robot arm with vision system has been developed to improve the accuracy of pick-and-place the surface mount device (SMD) on PCB during surface mount process. Position of the SCARA robot can be controlled by using coordinate auto-compensation technique. Robotic movement and position control are auto-calculated based on forward and inverse kinematics with enhanced the intelligent image vision system. The determined x-y position and rotation angle can then be applied to the desired pick & place location for the SCARA robot. A series of experiments has been conducted to improve the accuracy of pick-and-place SMDs on PCB

    Assessment of Arteriovenous Shunt Pathway Function and Hypervolemia for Hemodialysis Patients by Using Integrated Rapid Screening System

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    Currently, the hemodialysis patients received body weight measurement by themselves, vital sign checking by nursing staffs before dialysis. Whenever, the arteriovenous routes with problems doubted, the patients needed to be referred to surgeon for vascular echography checking and then to be corrected. How to integrate these three tasks in one time is a very important issue. The project proposes to combine our previous study of audio-phono angiographic technology in detecting vascular stenosis with rapid screening system to evaluate dialysis patients’ arteriovenous routes function and their status of excess body fluids: inspecting and integrating the blood pressure, body weight, and fistula function work into a rapid screening system, and using the quantization of fistula phono angiography pitch to achieve assessing arteriovenous routes. Future hoping is developed a complete integrated intelligence system by combining the arteriovenous fistula signal processing with feature extraction with wireless sensor network technology

    Design and Implementation of Dual-Band MIMO Antenna with Low Mutual Coupling Using EBG for Handheld Applications

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    A dual-band Multiple Input Multiple Output (MIMO) antenna system with enhanced isolation for LTE and WLAN applications is proposed. Using a double-rectangular Defected Ground Structure (DGS), the MIMO antenna gets two resonant frequencies of 2.6 GHz and 5.7 GHz with bandwidth of 5.7% and 4.3% respectively. To reduce much more mutual coupling between dual-band MIMO antenna ports, a novel double-side Electromagnetic Band Gap (EBG) structure with equivalent circuit model is proposed. Size of t gain of the antenna is getting better, especially at the low band. he EBG unit cell is 8.6x8.6 mm2 that is built on FR4 substrate with height of 1.6 mm, so it is achieved more compact size than conventional EBG structures. With 1x7 EBG structures, the mutual coupling gets -40dB in the low frequency band and -30 dB in the high one with narrow distance of 0.11 from feeding point to feeding point. Furthermore, radiation efficiency as well as gain of the antenna is getting better, especially at the low band

    Survey on Research Advancements in WiMedia MAC Protocol

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    WiMedia Alliance is an entity of personal area network occupying the large scale of real time applications with its attractive features like high data rate with low energy consumption. WiMedia Medium Access Control protocol is equipped in such a way that they can communicate with its counterpart to form a network. This enables advances in technology and availability to facilitate the extensive deployment of WiMedia network. But the overall performance of WiMedia network is limited due to factors like coverage distance, Interference, Mobility, Energy Consumption etc. So in this paper, we present the comprehensive survey of recent advancements in WiMedia Mac to provide a platform for a better consideration of WiMedia Medium Access Control research status to potential researchers and highlight the combined effect of WiMedia and other technologies

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    Taiwan Association of Engineering and Technology Innovation: E-Journals
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