Taiwan Association of Engineering and Technology Innovation: E-Journals
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Innovation Management of Stock Trading System
Get PDFStock trading market fluctuated wildly, which affect a country's economic and business operation. One of the important factor in stock trading system is price change limit, in the case of Taiwan is 7 percent ups and downs per day. Nowadays stock price change limit is set by the government, and that is based on the economic development of the country, but this price change limit is not the same with business’s view point. Basically business is a private owned property, and the authority of business have to responsible for the performance of operation. Release part control right of the price change limit to business by an innovation management way, which method allow companies decide 1 to 2 percent ups and downs price change limit, but this rate is still under the control of government. Innovation stock trading system will activate the trading of stock market
Improving the Weldability of Nickel-Based Superalloy by High Frequency Vibration
Get PDFThe objective of this paper is to discuss the weldability of Mar-M-004 nickel-based alloy by simultaneous proceeding vibration. Three kinds of vibration modes were chosen to compare the results, including high frequency vibration, subresonant and without vibration. We used x-ray diffraction (XRD) to quantize the residual stress of each sample, also the microstructure and crystal structure were investigated by using optical microscopes.
The results showed that the grain size will get refined after vibration welding, especially in high frequency vibration. From XRD and microstructure results, by using the high frequency vibration method, there has a significant effect of having lowest residual stress and lowest stress relaxation; furthermore, the formation of cracks was also inhibited and having the shortest crack length
Advertisement-Click Prediction Based on Mobile Big Data from HyXen AdLocus
Get PDFThe popularity of Internet has made advertisement marketing gone virtualized and location-based mobile advertising successful in recent years. Adlocus, an APP developed by HyXen Technology, is one good example to achieve this. This advertising software can tailor to the campaign needs and target users within a diameter of 1 km. However, the question is that is it possible to predict whether the user is willing to click on the advertisement. This paper adopts many ways to analyze how these relations influence in different kinds of mobile advertisement. A comprehensive performance comparison of different models is provided, and the analysis of different factors is also discussed, including click time, advertisement category, language, and mobile phone manufacturers
Earth Dam Monitoring by Using Infrared Thermography Detection
Get PDFInfrared thermography is applied for artificial earth dam surface monitoring. Using an infrared thermal imager is a nondestructive testing method for determining internal material changes by examining surface changes in radiation temperature. This study was conducted at the artificial earth dam experimental test site located in Landao Creek in Huisun Forest, Nantou County, central Taiwan. Infrared thermography analysis found different zones with larger radiation temperature changes. The seepage caused the earth dam soil to be wet, as can reflected by thermography. The seepage failure zone was found to coincide with dramatic changes in radiation temperature recorded using thermography. This study found that dam surface areas with large radiation temperature changes could be failure areas, and that the potential earth dam failure mode could be identified
Experimental Investigation into Mechanical Properties of Nanomaterial-reinforced Table Tennis Rubber
Get PDFA new table tennis rubber is prepared consisting of carbon nanotubes, zinc oxide and titanium oxide added to a mixture of natural and synthesized rubber. The Nano-reinforced rubber is attached to wooden table tennis blades and patterned with four different surface structures, namely flat, long pimples, short pimples and medium pimples. The results show that of the five rubbers, the Nano-reinforced rubber with a flat surface offers a significantly improved elastic and mechanical performanc
Spatial and Spectral Nonparametric Linear Feature Extraction Method for Hyperspectral Image Classification
Get PDFFeature extraction (FE) or dimensionality reduction (DR) plays quite an important role in the field of pattern recognition. Feature extraction aims to reduce the dimensionality of the high-dimensional dataset to enhance the classification accuracy and foster the classification speed, particularly when the training sample size is small, namely the small sample size (SSS) problem. Remotely sensed hyperspectral images (HSIs) are often with hundreds of measured features (bands) which potentially provides more accurate and detailed information for classification, but it generally needs more samples to estimate parameters to achieve a satisfactory result. The cost of collecting ground-truth of remotely sensed hyperspectral scene can be considerably difficult and expensive. Therefore, FE techniques have been an important part for hyperspectral image classification. Unlike lots of feature extraction methods are based only on the spectral (band) information of the training samples, some feature extraction methods integrating both spatial and spectral information of training samples show more effective results in recent years. Spatial contexture information has been proven to be useful to improve the HSI data representation and to increase classification accuracy. In this paper, we propose a spatial and spectral nonparametric linear feature extraction method for hyperspectral image classification. The spatial and spectral information is extracted for each training sample and used to design the within-class and between-class scatter matrices for constructing the feature extraction model. The experimental results on one benchmark hyperspectral image demonstrate that the proposed method obtains stable and satisfactory results than some existing spectral-based feature extraction
Statistical Analysis of Automatic Seed Word Acquisition to Improve Harmful Expression Extraction in Cyberbullying Detection
Get PDFWe study the social problem of cyberbullying, defined as a new form of bullying that takes place in the Internet space. This paper proposes a method for automatic acquisition of seed words to improve performance of the original method for the cyberbullying detection by Nitta et al. [1]. We conduct an experiment exactly in the same settings to find out that the method based on a Web mining technique, lost over 30% points of its performance since being proposed in 2013. Thus, we hypothesize on the reasons for the decrease in the performance and propose a number of improvements, from which we experimentally choose the best one. Furthermore, we collect several seed word sets using different approaches, evaluate and their precision. We found out that the influential factor in extraction of harmful expressions is not the number of seed words, but the way the seed words were collected and filtered
Study on Utilization of LVL Sengon (Paraserianthes falcataria) for Three-Hinged Gable Frame Structures
Get PDFThis study focuses on the utilization of non-prismatic LVL members of wood species Sengon (Paraserianthes falcataria) for three-hinged gable frame structures. This wood species matures in 6 to 8 years, and the innovative application as LVL product for these structures is evaluated. A full-scale model of a beam-column connection is produced and tested to validate the moment-rotation response predicted by the numerical study using ABAQUS. The FEM results showed a linear-elastic moment-rotation curve response up to a joint rotation of 0.015 radians which is in very good agreement with the experiment. This validated FE model for the beam-column joint was further utilized to generate predictions for the moment-rotation relation using different bolt diameters and configurations. The last part of this study presents an evaluation of the maximum load bearing capacity of three-hinged gable frame timber structures considering a rigid and semi-rigid beam-column joint model. If the load carrying capacity is governed by the yielding of the bolt, the gable frame structure with the rigid beam-column joint overestimates the load bearing capacity by 17% to 25%
The Sensor Collaboration Structure of Industrial 4.0
Get PDFAs information and technology grow up globally, the business should look for the optimal productivity efficiency and add smart management to maintain the company’s interests and value. In order to achieve the smart productivity, vast businesses pay lots of attention to invest in industrial 4.0 and change their business model. In this research, the sensor collaboration structure will be proposed and established to connect the information base and thing base. Human can make decisions and communicate between the physical domain and the cyber domain. In the physical domain, the sensors can gather the data from the machine, the production line, the factory and the product. By sensor collaboration, the signals and information can transfer quickly and simultaneously in the cyber domain. Through the networking between information base and thing base, decision makers can easily predict, judge and handle the tasks. As a result, information base, thing base and decision makers can become a triangle system to achieve the vertical integration and level contact
Improved-Coverage Preserving Clustering Protocol in Wireless Sensor Network
Get PDFCoverage maintenance for longer period is crucial problem in wireless sensor network (WSNs) due to limited inbuilt battery in sensors. Coverage maintenance can be prolonged by using the network energy efficiently, which can be done by keeping sufficient number of sensors in sensor covers. There has been discussed a Coverage-Preserving Clustering Protocol (CPCP) to increase the network lifetime in clustered WSNs. It selects sensors for various roles such as cluster heads and sensor cover members by considering various coverage aware cost metrics. In this paper, we propose a new heuristic called Improved-Coverage-Preserving Clustering Protocol (I-CPCP) to maximize the total network lifetime. In our proposed method, minimal numbers of sensor are selected to construct a sensor covers based on various coverage aware cost metrics. These cost metrics are evaluated by using residual energy of a sensor and their coverage. The simulation results show that our method has longer network lifetime as compared to generic CPCP