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Computing model based on the architecture of Google Map-Reduce model is widely applied. In this paper, a set of NETRMR prototype system used for distributed computing is designed with the .NET Remoting technology under the .NET platform. The system encapsulates fault-tolerant and load scheduling, to simplify the complexity of parallel programming under distributed computing environment. Take the parallel...
We human beings are often careless, forgetful and ignorant. We often miss good timing for capturing chances or avoiding risks. Computational awareness (CA) can help us to be more aware. An aware system can distinguish novel events from normal ones, inform us when the novel events are detected, and tell us the correct reaction. In many cases, we are interested in knowing reasons why certain situations...
Acupuncture treatment for Cervical Spondylosis (CS) has made great achievements at home and abroad. However its functions related patients' symptoms and treatment have not been assessed yet, which makes acupuncture difficult to be acknowledged by the authority of medical profession. Thankfully, patient reported outcome (PRO) scale is a qualified assessment tool originated from the West, which allows...
Image segmentation is a classic problem and basic research area in image processing. It can provide pre-detect information for subsequent image processing and classification. 2D Otsu method is a widely used non-parametric method to detect the threshold of image. In this paper, we employ the simplified swarm optimization (SSO) as a swarm-intelligent optimization method to search the threshold value...
This paper introduces a smart home system. This system consists of 3 parts: terminal, cloud computing and prediction system. The terminal uses ARM Cortex-A7 infrastructure embedded developer version of Raspberry PI 2, and combines with ancillary equipments such as wide-angle IR transmitter, IR receiver, ZigBee communication system, Wi-Fi smart plug, IP camera etc. Terminal then runs the E-Home application...
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...
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...
In this study, an algorithm having a nice dynamic-programming structure is proposed for unit selection. This algorithm considers the costs of pitch and duration transformations, and the costs of contextual and spectral discontinuities. Here, the voice unit, demi-syllable, is adopted. In the training phase, each demi-syllable unit is analyzed to obtain a sequence of discrete cepstral coefficient (DCC)...
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,...
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 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...
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,...
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...
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...
In this paper, we develop the parametric graded mean integration representation (PGMIR) for the interval type 2 fuzzy sets (IT2FS). The PGMIR value can be served as the type reduced or defuzzification of an IT2FS. A set of IT2FSs can then be ordered by the corresponding PGMIR values. Firstly, the parametric representation of the embedded fuzzy sets is defined for the general IT2FS. The IT2FS is characterized...
This paper proposes a novel fuzzy forecasting method for forecasting the TAIEX based on optimal partitions of intervals, optimal weights, and particle swarm optimization (PSO) techniques. First, it applies PSO techniques to find optimal intervals and optimal weighting vectors of two-factors second-order fuzzy-trend logical relationship groups (TFSTLRGs) simultaneously using the historical training...
Developing visual functions in camera networks from multiple cameras is hot and challenging research topic. Based on the visual technologies including computer vision and image processing, in this paper, we developed some visual functions for smart camera networks. In our current progress, the visual functions developed for the camera network consist of four main functions. These four functions are...
In this paper, we present an online handwritten system for music score recognition. Music score is used to record a music song. People often used to compose a music score on the sheet of paper. In our system, we propose the pen based writing method and use multi-strokes to form a music notation. We extract the height, shape and direction from a stroke as the features and recognize it as a symbol....
Face recognition based on sparse representation is investigated in this paper. Dimensionality reduction is the process of projecting original image data into a low dimensional space, and usually be conducted before dictionary learning. However dimensionality reduction may lose information that is important to the face recognition task. Although the accuracy rate of face recognition varies with different...
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