DSpace collection: 第19卷第1期

Research on the Application of the Segmentation Based on Key Points in the Power Consumption of Wireless Sensor

Tue, 20 Dec 2016 01:52:21 GMT

title: Research on the Application of the Segmentation Based on Key Points in the Power Consumption of Wireless Sensor abstract: In order to reduce the power consumption of the sensor, the key points of the algorithm are proposed, which can greatly reduce the transmission data and reduce the power consumption; The Sink receives the key point sequence, and uses the piece-wise linear algorithm to fit the data, for the user to query, statistics and graphics and other operation; The empirical evidence of this algorithm fits the raw data well, Less computation, less transmission of data, is conducive to reduce the power consumption in the wireless sensor.

A 2D Hidden Markov Model for Patch-based Super Resolution

Tue, 20 Dec 2016 01:49:18 GMT

title: A 2D Hidden Markov Model for Patch-based Super Resolution abstract: Super resolution is developed to enhance the resolution of images and various kinds of learning based methods were proposed to magnify a single image. This paper presents a 2D hidden Markov model which could do super resolution by using learned image patch pair database. The image patch pairs store the correspondence relation of high-frequency information between low resolution (LR) patches and high resolution (HR) patches. For each input LR patch, the top five similar LR candidate patches in database are searched to construct a 3D cube which can then be modeled by the proposed 2D hidden Markov model (HMM). A novel 2D Viterbi algorithm is developed to find the optimal LR candidate patches that are the most compatible with each other. The resulting super resolution image could be formed by pasting back the corresponding HR patches from patch pair database according to the positions of found optimal LR patches. By objective comparisons of PSNRs/SSIMs and subjective judgment of the generated super resolution images, the proposed 2D HMM method is superior to the traditional interpolation methods and some existing state-of-the-art methods.

A New Habit Pattern Learning Scheme in Smart Home

Tue, 20 Dec 2016 01:46:51 GMT

title: A New Habit Pattern Learning Scheme in Smart Home abstract: Most of the user’s activities are consistent with their habits, therefore in this paper, we propose a new habit pattern learning scheme in smart home to better obtain user’s behavior regulations and habits, which can make the home more intellectually interact with people. By recording the operations on each electric appliance in the form of time series, we firstly find out that the habit can be classified into fixed-length habit and timing habit. Then, we propose habit extraction methods based on the corresponding activity probability and calculation formulas of the habit strength. Since different habits have different variation characteristics on habit strength and time zone, we further propose the self-learning algorithms on time zone and habit strength threshold to obtain the suitable parameters. Furthermore, by defining the association among individual habits into selection, parallel, sequence, cross and inclusion, we can obtain habit set which is a group of habits with inner correlation. In order to adapt to the habit variations, we introduce a habit change factor into the habit pattern discovery algorithm so as to follow the habit changes. Finally, we construct the experimental environment in a real smart home, analyze and calculate the operation records of electric appliances in two months. The experiment results show that the proposed habit pattern learning scheme is effective and efficient.

The Study of Rotational Ultrafiltration System for Recovery of Spent Cutting Oil from Solar Photovoltaic Cell Manufacturing Process

Tue, 20 Dec 2016 01:43:55 GMT

title: The Study of Rotational Ultrafiltration System for Recovery of Spent Cutting Oil from Solar Photovoltaic Cell Manufacturing Process abstract: The main problems of recovery cutting oil from spent waste are high viscosity of cutting oil and high content of nano-size particle. This study combined an innovative rotational circular-plate ultrafiltration membrane filter with a scraping device to recycle the cutting oil and remove particles fouling cake attached to the membrane surface, and was able to maintain cutting oil filtrate flux above 6.65 l/m2 /hr. Also, the proposed process is the practical solution for materials separation between highly viscosity liquid and fine particles even nano-size. The results show the filtrate of ultrafiltration membrane could meet the reuse requirements of less than 0.03% solid content. Analysis of blended oil characteristics under different blending ratios was conducted, showing the optimum blending ratio of recycled oil to new cutting oil was 6:4. The final production cost can be reduced over 27.4%. The process can achieve waste reuse ratio of greater than 77.2%.

Rough Classifier Based on Region Growth Algorithm for Identifying Liver CT Image

Tue, 20 Dec 2016 01:40:45 GMT

title: Rough Classifier Based on Region Growth Algorithm for Identifying Liver CT Image abstract: Over decades, liver cancer is a rising cause of death in Taiwan, and more and more researchers are concerned about detecting hepatic tumors in computed tomography (CT) images. For clinical applications in terms of diagnosis and treatment planning, image segmentation on abdominal CT is indispensable. Patients with a large number of CT images need specialist physicians to identify, and detecting tumor location correctly from many CT images has been a major challenge subsequently. Therefore, this paper proposed a novel computer-aided detection (CAD) method that had high classification accuracy for identifying tumors. The proposed method used a region growing algorithm to segment liver CT images, employed REDUCT sets to reduce attributes, and then utilized a rough set algorithm to enhance classification performance. To evaluate the classification performances, the proposed method was compared with five different classification methods: decision tree (C4.5 and REP (reduced error pruning)), multilayer perceptron, Naïve Bayes, and support vector machine (SVM). The results indicate that the proposed method is superior to the listing methods in terms of classification accuracy.

Theoretical Analysis of Wind Turbine Tower-Nacelle Axial Vibration Based on the Mechanical Impedance Method

Tue, 20 Dec 2016 01:38:01 GMT

title: Theoretical Analysis of Wind Turbine Tower-Nacelle Axial Vibration Based on the Mechanical Impedance Method abstract: Based on an established axial vibration model of the wind turbine tower-nacelle system, the mechanical impedance method was applied to construct the mechanical network diagram for the axial vibration of the tower-nacelle system. Then, the axial free vibration and forced vibration of the system were analyzed theoretically with considering the displacement impedance or admittance as the transfer function. The analysis shows: for free vibration, the system performs damped vibration with light damping, the amplitude attenuates exponentially with light damping, the system returns to the equilibrium position directly with over-damping, and the system does not generate reciprocating vibration with critical damping; for forced vibration, the amplitude of the axial displacement response is related to the frequency ratio of rotation rate. The resonance frequency does not occur at the undamped natural frequency 0. The peak value of the vibration triggered by blade mass imbalance shifts toward the high frequency direction along with the increase of damping ratio , while the peak value of the vibration triggered by tower front spoiler and pneumatic imbalance shifts toward the low frequency direction along with the increase of . If > 2 2 , the amplitude frequency has no peak value, and resonance does not occur. The analysis provides a theoretical basis for the design and control of the wind turbine tower.

High Rate Anodic Dissolution of Stainless Steel 316 (SS316) Using Nano Zero Valent Iron as Reducing Agent

Tue, 20 Dec 2016 01:35:03 GMT

title: High Rate Anodic Dissolution of Stainless Steel 316 (SS316) Using Nano Zero Valent Iron as Reducing Agent abstract: The experiments on electrochemical machining of stainless steel SS316 have been carried out according to designed experimental plan to observe the effect of nano zero valent iron (NZVI) mixed electrolyte solution on material removal rate. Dependence of material removal rate on feed rate in presence of NZVI has been determined and compared with theoretical values. These comparative investigations for MRR are given in tabular format with graphical representation. The significant effect on MRR was observed; when NZVI mixed aqueous NaCl solution was used as an electrolyte due to its high reducing characteristics. The observed experimental results were found to be quite close with theoretical results.

Research on Flip Mechanism Automatic Offline System Based on LabVIEW

Tue, 20 Dec 2016 01:31:25 GMT

title: Research on Flip Mechanism Automatic Offline System Based on LabVIEW abstract: According to the analysis of XX company’s flip mechanism production line, an automatic offline system for the flip mechanism was designed based on LabVIEW to substitute manpower. The upper computer software is developed under LabVIEW. The PCI1010 motion control card is used to gather the information of sensors to realize the real-time control of the external execution devices. Adsorption experiment shows that the system can match with the production line seamlessly and improve the production efficiency greatly. The research provides an effective method for the transformation and upgrading of the production line.

Development of 3D Feature Detection and on Board Mapping Algorithm from Video Camera for Navigation

Tue, 20 Dec 2016 01:27:44 GMT

title: Development of 3D Feature Detection and on Board Mapping Algorithm from Video Camera for Navigation abstract: In this paper, a different approach is introduced to produce comparable 3D reconstruction outcomes similar to that of working geometry method but not as computationally extensive as well as mathematically complex. An image pair, capturing the left and right view of the object or surrounding, is used as inputs. The analogy is very similar to how the human eye perceives the world. The 3D reconstruction program is broken down into two sections, with 3 MATLAB codes been written in total. First, to generate the image frames, followed by the second section, generating the 3D point cloud. In the first part of the program, 2 MATLAB codes have been written with the end result of estimated image frames between the two views which are not captured by the camera will be generated. In the second half of the program, the image pair is now processed to generate 3D point clouds containing 3D co-ordinates of the features. This techniques allows the partial reconstruction of a 3D environment by stitching together these image frames, thus creating a video of the environment as if the camera is moving from the left camera point to the right, giving the user the depth perception one would get when viewing it in real life. After which a 3D point cloud is generated, however to achieve this, the camera must first be calibrated to obtain the camera parameter with the aid of a checkerboard. The camera positions are also estimated and this is combined with the 3D co-ordinates of the features, producing the 3D point cloud. This will give the 3D co-ordinates of the features in an interactive 3D plot within MATLAB extracted from just a pair of input images.

Experimental Studies on 3D Printed Parts for Rapid Prototyping of Micro Aerial Vehicles

Tue, 20 Dec 2016 01:09:44 GMT

title: Experimental Studies on 3D Printed Parts for Rapid Prototyping of Micro Aerial Vehicles abstract: This paper presents the results of exploratory studies for facilitating the direct use of 3D printed parts in design and development of micro aerial vehicles (MAV). 3D printing processes of stereolithography and fused deposition modeling are investigated as the candidate prototyping options. Custom developed electro-chemical and mechanical processes are used to deposit thin structural nickel coatings on 3D printed test specimens and MAV parts. Residual stress and mechanical strength of coated 3D printed specimens are evaluated through experimental methods. Considerable improvement is realized in tensile and impact performance of the coated 3D printed parts. Findings from this study enable the MAV research teams to work with multiple design options and arrive at optimal solutions without severe time and cost penalties that are typically associated with conventional manufacturing procedures.

Design of a Butterfly Ornithopter

Tue, 20 Dec 2016 01:05:54 GMT

title: Design of a Butterfly Ornithopter abstract: Research on ornithopters is receiving more attention because they exhibit good controllability, maneuverability, and robustness in the natural environment. Here, we report on the design, fabrication, and experimental validation of the mid-size butterfly ornithopter, which mimics the morphology of a dead leaf butterfly. The wing flapping mechanism can support wings with a span of 565 mm and can flap the wings in a 120-degree range and at a frequency of 5 Hz. A lift force measurement and a particle image velocimetry experiment were performed to validate the performance of the ornithopter.

Bioinspiration and Biomimicry: What Can Engineers Learn from Biologists?

Tue, 20 Dec 2016 01:01:24 GMT

title: Bioinspiration and Biomimicry: What Can Engineers Learn from Biologists? abstract: The field of biomechanics thrives on collaborations between engineers and biologists. With the recent emphasis on biomimicry and bioinspiration, such collaborations are bound to increase in number and may be central to many future research programs. Far too often, however, there is no resonance between the philosophies that guide each research program. Engineers tend to look at biological phenomena with a designer’s eye, something against which biologists are explicitly cautioned. On the other hand, biologists may often prefer a descriptive route over a mechanistic one. How can we make such collaborations resonate better from an intellectual perspective? In this essay, I describe a short historical account of biomimicry and bioinspiration, and offer suggestions for better collaborations between engineers and biologists, with examples of cases in which fruitful approaches have been adopted.