Walairacht, Aranya
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Walairacht, Aranya
Alternative Name
Walairacht, A.
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aranya.wa@kmitl.ac.th
10 results
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Item type:Publication, Door lock system via web application(2017-10-19); ; ; This research proposes the smart way to solve the common problem of the conventional door-locking system. The important problems of the ordinary door-locking systems are key lost, forgetting to lock the system and cannot check the lock status from remote. To solve these problems, we proposed a method to lock-unlock the system which utilizes the web application and passcode alongside the usual method of using the ordinary keys. The proposed system can remotely lock, remotely unlock, remotely check door state, remotely check door locking state, send the email to the owner in case of someone knocking on the door and generate the temporary passcode to use in specific date and time. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Preprocessor to improve performance of GA in determining bending process for sheet metal industry(2002-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Spam mail templates using genetic algorithm(2007-12-01)In this paper, we propose a mechanism for filtering e-mails by constructing spam mail prototypes by using genetic algorithm. Keywords extracted from e-mail's subject and body are categorized by their meaning into 8 categories. The binary representation of a chromosome string having 8 genes is constructed from keywords. Genetic operations are applied to create varieties of spam mail prototypes for filtering. From the experiments, the proposed technique shows the accuracy of filtering spam mails by 87.05% in average. When comparing with the other technique liked Bayesian, the proposed technique still has higher accuracy. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Recognition of Lao sentence sign language using kinect sensor(2017-11-03); Walairacht, SomsakThis paper presents a technique for recognition Lao sentence sign language by using a Kinect sensor. By using Kinect sensor, feature joint positions of human body can be tracked. After that the joint angles between each pair of joint vectors of adjacent joint positions are measured. When the user perform a series of posture representing a simple sentence of Lao sign language, the system records joint angles that is significantly changed from one posture to another posture. Feature joint angles stored in the database is used to recognition the testing sentence's posture. The recognition rate of about 75% is achieved from the experiments performed 10 simple sentences of Lao sign language. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive spam mail filtering using genetic algorithm(2006-11-17); Walairacht, SomsakIn this paper, we propose a mechanism for filtering incoming spam mails by generating spam mail prototypes using genetic algorithm. Firstly, words from e-mails are extracted and are categorized by their relating meaning into 7 groups. Then, we compose a string of chromosome having 7 genes, i.e., groups of words. Each gene, represented words in each group, is encoded into binary value. The genetic algorithm and its operations are applied to create varieties of spam mail prototypes which inherit from old spam mails. It saves time for preparing training sets and need no large training set for learning like other methods. The spam mail prototypes are the result of this learning mechanism. The experimental results show that the proposed system has efficiency. When testing with both spams and hams, the accuracy is about 85% in average. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, User preference retrieval using semantic categorization for web search(2010-05-24) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, PCA in wavelet domain for face recognition(2006-11-17) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, JGroovy - An extensible java programming language with groovy(2010-05-24) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficiency improvement for unconstrained face recognition by weightening probability values of modular PCA and Wavelet PCA(2008-05-29) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hand gesture recognition for Lao alphabet sign language using HOG and correlation(2017-11-03); Walairacht, SomsakHand gesture is one of a powerful means of communication among human. Sign language is an essential and natural expressive mean of communication especially for the deaf people. The article proposes a technique for the recognition of Lao alphabet sign language. The technique of image processing, that is Histogram of Oriented Gradients (HOG), is applied in order to extract characteristics of the hand images performing individual alphabet of Lao sign language. The extracted features are then sent to the template matching process. The similarity between the extracted features and the prototype features are measured by using correlation technique. The totals of 54 Lao alphabets are used in the experiments. Four subjects are asked to perform each alphabet of Lao sign language in which each subject had performed totally 540 gestures. The recognition rate of the proposed technique at about 79 % is achieved.