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The population of deaf-mute in Taiwan is increasing every year. These deaf-mute persons usually use sign language to communicate with each other. However, most hearing persons cannot understand sign languages because they have not learned it. In order to let normal persons understand sign language, a sign language recognition system is necessary. In this paper, such a sign language recognition system...
This paper proposes a novel fuzzy forecasting method for forecasting the TAIEX based on optimal intervals and a similarity measure between the subscripts of fuzzy sets, where two threshold values α and β and a weighting constant γ are used, α ∊ [0, 1], β ∊ [0, 1] and γ ∊ [0, 1]. First, we use particle swarm optimization (PSO) techniques to obtain optimal intervals in the universe of discourses (UODs)...
In the Information Age, the problem of information overload as a form of explicitly good news or pollution has become more popular, the consumer's attention also becomes the scarce resource to be allocated. Member card can provide personal identification, authentication, data storage, and relevant application. It may provide strong marketing media for customer relationship within business organizations...
With the economic boom in Taiwan, people's lives have become richer. After they have fulfilled their material needs, they began to search for spiritual contentment. Volunteerism in Taiwan began as a rare activity found only in public sectors but has blossomed into a more common activity found in both public and private organizations. However, volunteerism in Taiwan arose later than in other countries,...
In this paper, we proposed a multi-hop distributed energy-efficient clustering with sub-clustering (MHDEEC-SC) architecture. Our architecture selects a fitter node served as cluster head, and uses the concept of sub-clustering that chooses a node in remote areas with higher energy to serve as sub-cluster head. Besides, our architecture can balance the energy consumption between nodes and improves...
The aggregation operators based on the Archimedean t-norm and t-conorm provide general operational rules for intuitionistic fuzzy numbers (IFNs), where they can generalize most of the existing aggregation operators. The Heronian mean (HM) considers interrelationships among attributes. Therefore, it is very necessary to extend the HM to IFNs for developing intuitionistic fuzzy HM operators based on...
This paper proposes a novel multicriteria decision making (MCDM) method using the TOPSIS method and similarity measures between intuitionistic fuzzy values. First, it calculates the degree of indeterminacy (DOI) of each evaluating intuitionistic fuzzy value (IFV) given by the decision maker. Then, it calculates the DOI of the relative positive ideal value (RPIV) and the relative negative ideal value...
Deploying an IoT (Internet of Things) system over the next-generation mobile telecommunication could lead to an issue of “Low Spectrum Utilization”. To cope with this challenge caused by employing applications of “Environmental Monitoring” using a NB (Narrow Band) radio spectrum. This paper proposes a B4G (Beyond 4G) automatic TBS (Transport Block Size) index selection scheme to optimize the spectrum...
Search information on the Internet is always a tedious work. Fortunately, due to the advance of technology, it lightens the burden of the users. Many researches had shown that the Internet has fractal characteristic. In this paper, we study the possibility of applying the fractal concept for searching meaningful information on the Internet. We proposed a method to find certain images on the Internet...
The 3D printing, also called additive manufacturing, is a combination of three-dimensional digital design technology, material science, digital manufacturing and intelligent control of a mechatronics system etc. The main purpose of this study is to develop a color photo-curable 3D manufacturing system by using multiple Piezoelectric heads. Four different colors (CMYW) of curable materials (UV resin)...
Due to the ever increasing affordability of video surveillance equipment, surveillance cameras have become widely used to great effect at various large scale events, to reduce the risk of crowd-related incidents and enhance public safety. If a large amount of existing video data can be used to capture motion features and detect the distribution of a crowd within a monitored area over a long duration,...
Context-aware recommender systems try to figure out users' preferences under different context situations and have been proven to be useful in many domains. Different individual context makes different contribution to recommendation performance, but few of researchers have explored how contextual combinations influence recommendation performance. In this paper, we examine empirically the role of contextual...
Extracting the motion patterns from videos is a basic task in video surveillance and has become an active research area. In this paper, we propose a novel approach for discovering motion patterns in a scene observed by one or two cameras. The chaos theory is employed to compute the chaotic invariant features (CIFs) after obtaining all the trajectories. The CIFs and other features are combined to a...
Modern medical research has proved that almost all diseases are related to genes except the injuries. Based on the Alzheimer's disease (AD) gene expression data, this paper uses T test method to identify the significant differences in gene expression between normal people and three states of Alzheimer's disease patients. In this paper, 90 differentially expressed genes were identified, and 5 of which...
An intelligent recommendation algorithm based on hidden Markov chain model is proposed and used to conduct intelligent recommendation on document search in this paper. This algorithm is faster in operational efficiency than regular Markov chain algorithm and the collaborative filtering algorithm and has a certain improvement in the accuracy of recommendation. Firstly, the algorithm has advantages...
Compressed sensing MRI (CS-MRI) and compressed sensing sensitivity encoding (CS-SENSE) only include two regularization items, total variation (TV) and Wavelet, which leads to artifacts remaindering in 1-D random sampling. In order to improve the performance of them, a new regularization item-Contourlet is introduced to constrain the solution with the other two regularization items together. The solution...
Epilepsy is increasingly occurred disease in the modern world, and the use of automatic detection technology of epileptic Electroencephalogram (EEG) signals is more and more important. In this essay, a novel approach named CC-ELM of automatic epileptic EEG signals detection is proposed. Unlike traditional dimension reducing methods of most current automatic detection, the proposed approach adopts...
This paper presents a new personalized recommendation technology for e-commerce website, which combines clustering users' expectations and Item-Based Collaborative Filtering recommendation algorithm. Similar distance between two websites means similar expectations. Firstly we cluster the websites by calculating the distance between any two websites. Naturally, the expected distance matrix of websites...
Radon transform is robust to noise, and its performance is independent on the calculation of pattern centroid. Based on these facts, Radon transform is employed to extract invariant features in this paper. Radon functional integral transform is proposed, and Radon functional integral descriptors are constructed. It is proved that these descriptors are invariants to translation, scaling and rotation...
In this paper, singular value decomposition is applied to detect the co-clusters in mutant-atom matrix data of solid angle. A set of significant patterns are found in the given matrix data with coherent solid angle values on both mutants and atoms. These patterns could provide clues about the main mechanism associated with drug resistance. In one pattern, all the mutants have the same response level...
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