Taiwan Association of Engineering and Technology Innovation: E-Journals
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The Study of the Microbes Degraded Polystyrene
Get PDFUnder the observation that Tenebrio molitor and Zophobas morio could eat polystyrene (PS), we setup the platform to screen the gut microbes of these two worms. To take advantage of that Tenebrio molitor and Zophobas morio can eat and digest polystyrene as its diet, we analyzed these special microbes with PS plate and PS turbidity system with time courses. There were two strains TM1 and ZM1 which isolated from Tenebrio molitor and Zophobas morio, and were identified by 16S rDNA sequencing. The results showed that TM1 and ZM1 were cocci-like and short rod shape Gram-negative bacteria under microscope. The PS plate and turbidity assay showed that TM1 and ZM1 could utilize polystyrene as their carbon sources. The further study of PS degraded enzyme and cloning warrants our attention that this platform will be an excellent tools to explore and solve this problem
Securing Ad Hoc Wireless Sensor Networks under Byzantine Attacks by Implementing Non-Cryptographic Methods
Get PDFAd Hoc wireless sensor network (WSN) is a collection of nodes that do not need to rely on predefined infrastructure to keep the network connected. The level of security and performance are always somehow related to each other, therefore due to limited resources in WSN, cryptographic methods for securing the network against attacks is not feasible. Byzantine attacks disrupt the communication between nodes in the network without regard to its own resource consumption. This paper discusses the performance of cluster based WSN comparing LEACH with Advanced node based clusters under byzantine attacks. This paper also proposes an algorithm for detection and isolation of the compromised nodes to mitigate the attacks by non-cryptographic means. The throughput increases after using the algorithm for isolation of the malicious nodes, 33% in case of Gray Hole attack and 62% in case of Black Hole attack
A Mathematical Framework for Online Constant Coefficient Multiplication
Get PDF Single and Multiple constant multiplications are key operations in several digital signal processing algorithms. This paper develops a mathematical framework for a novel adaptation of the parallel shift-and-add multiplication algorithm for online arithmetic. Based on this adaptation, online constant coefficient multipliers for single constant multiplication (SCM) and multiple constant multiplications (MCM) of streaming floating-point inputs are presented. A finite impulse response filter implementation on Xilinx Virtex 6 Field programmable gate array (FPGA) is used as an example to illustrate the merits of these filters. The results of this implementation show that online multipliers reduce resource utilization, online delay and increase clock frequency in comparison to existing designs. Online multiple constant multipliers also show an average reduction of 65% in the number of slice LUTs and 37% in the number of slice registers required when compared to existing digit-serial multiple constant multipliers. Thus, the proposed online arithmetic operators appear to be good alternatives for constant coefficient multiplicatio
General Lighting in Offices Building: Techno-Economic Considerations on the Fluorescent Tubes Replacement with LED Tubes
Get PDFThe use of LED light sources is nowadays an attractive solution because it can easily lead to lower operating costs of artificial lighting. In the last years, the replacement of fluorescent lamps with LED tubes for lighting of workplaces have been frequently proposed. The aim of the Authors is to analyze, from techno-economic’s point of view, the fluorescent tubes replacement of a typical office building with LED tubes. Using the evaluation of the Lighting Energy Numeric Indicator has been possible to point out that the replacement of the fluorescent tubes allows a reduction in energy consumption for lighting higher than 50% with an obvious reduction in the annual operating cost. For the lamps replacement, in the case study have been estimated a simple payback time of less than 5 years. The methodological approach used by the Authors, although based on a case study, can be extended to numerous office buildings because the analyzed configurations (use and dimension of the rooms, type and features of the luminaires) can be considered significantly representative of this type of buildings. The choice of the LED sources that are suitable for the fluorescent lamps replacement must be preceded by a careful lighting analysis in order to ensure the compliance with the standards requirements
Study of Alloy Springs with Magnetorheological Dampers for Vibration Isolator Device
Get PDFVibration is a factor that must be controlled during the manufacturing process; variation in workpiece dimensions often results in inaccuracies due to vibration. This study adopted a spring and electromagnetic-repulsion and magnetorheological damper that can absorb the energy of external vibrations and deduced the influential vibration factors. ANSYS was employed to determine the energy that could be absorbed by the vibration isolation device under machine vibration, and the Taguchi method of quality engineering was used to design the structure of the device (metal spring, wire diameter, and material). The usability of the product was examined for application in computer numerical control and traditional machines. The considered parameters of the magnetorheological fluid were density, the coefficient of elasticity, and Poisson’s ratio. The results indicated that spring wire diameter exerted the strongest effect on the device’s performance and that the electrical current provided to the damper could be buffered
Point-Structured Human Body Modeling Based on 3D Scan Data
Get PDFA novel point-structured geometrical modelling for realistic human body is introduced in this paper. This technique is based on the feature extraction from the 3D body scan data. Anatomic feature such as the neck, the arm pits, the crotch points, and other major feature points are recognized. The body data is then segmented into 6 major parts. A body model is then constructed by re-sampling the scanned data to create a point-structured mesh. The body model contains body geodetic landmarks in latitudinal and longitudinal curves passing through those feature points. The body model preserves the perfect body shape and all the body dimensions but requires little space. Therefore, the body model can be used as a mannequin in garment industry, or as a manikin in various human factor designs, but the most important application is to use as a virtue character to animate the body motion in mocap (motion capture) systems. By adding suitable joint freedoms between the segmented body links, kinematic and dynamic properties of the motion theories can be applied to the body model. As a result, a 3D virtual character that is fully resembled the original scanned individual is vividly animating the body motions. The gaps between the body segments due to motion can be filled up by skin blending technique using the characteristic of the point-structured model. The model has the potential to serve as a standardized datatype to archive body information for all custom-made products
The Tangent Medial Circles Inside the Region Defined by Hermite Curve Tangent to Unit Circle
Get PDFThe design of curves, surfaces, and solids are important in computer aided geometric design (CAGD). Images, surround by boundary curves, are also investigated by many researchers. One way to describe an image is using the medial axis transform. Under this consideration, the properties of the boundary curves tangent to circles become important to design for 2D images. In this paper, we want to find the medial axis transform (MAT) for a special class of region, which is bounded by unit circle and the curves whose end points is on a the circle, and endpoints tangent vectors are parallel to the tangent of circle at the end points. During the process, we want find the medial circle tangent to other medial circle, until we reach the medial circle whose center is the center of the osculating circle for the point with local maximum curvature. There are 4 cases, symmetric/non-symmetric region with singular point/local maximum curvature point, and proposed algorithm for these 4 cases. We introduced algorithm for this 4 cases in this paper
The Research of Infrared Thermal Image Diagnostic Model for Building External Wall Tiles
Get PDFThis study focuses on a deterioration diagnostic standard and inspection time for external wall tiles. The study was carried out using a tap tone test, followed by fast Fourier transform and pattern recognition to analyse the tapping results. Based on the test results, the study recommends that for frequencies between 200 and 800 Hz on the spectrogram, it can be deduced that a cavity is present in the tiles. The study was carried out using infrared thermal imaging record to deterioration and normal tile position. This study observed temperature changes per hour, it is obvious temperature difference with deterioration tiles and normal tiles between 09: 00-11: 00 (East), 10:00-14:00 (West), 10:00-12:00 (South) and 11:00-13:00 (North), the study was calculated that the average temperature difference of 1.0 degrees. This study suggests that the best experimental inspection time is 09: 00-14:00. Exclude the impact of external factors, if the temperature difference more than 1.0 degrees, it can be deduced that a cavity is present in the tiles, and this can be used as basis for determining tile deterioration
A CNN Based Approach for Garments Texture Design Classification
Get PDFIdentifying garments texture design automatically for recommending the fashion trends is important nowadays because of the rapid growth of online shopping. By learning the properties of images efficiently, a machine can give better accuracy of classification. Several Hand-Engineered feature coding exists for identifying garments design classes. Recently, Deep Convolutional Neural Networks (CNNs) have shown better performances for different object recognition. Deep CNN uses multiple levels of representation and abstraction that helps a machine to understand the types of data more accurately. In this paper, a CNN model for identifying garments design classes has been proposed. Experimental results on two different datasets show better results than existing two well-known CNN models (AlexNet and VGGNet) and some state-of-the-art Hand-Engineered feature extraction methods
Analyzing Mappings and Properties in Data Warehouse Integration
Get PDFThe information inside the Data Warehouse (DW) is used to take strategic decisions inside the organization that is why data quality plays a crucial role in guaranteeing the correctness of the decisions. Data quality also becomes a major issue when integrating information from two or more heterogeneous DWs. In the present paper, we perform extensive analysis of a mapping-based DW integration methodology and of its properties. In particular, we will prove that the proposed methodology guarantees coherency, meanwhile in certain cases it is able to maintain soundness and consistency. Moreover, intra-schema homogeneity is discussed and analysed as a necessary condition for summarizability and for optimization by materializing views of dependent queries