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  • 1
    Electronic Resource
    Electronic Resource
    Auto-navigation of a wheelchair (1997)
    Springer
    Artificial life and robotics 1 (1997), S. 141-146 
    Details
    ISSN: 1614-7456
    Keywords: Self-localization ; Wheelchair ; Obstacle avoidance ; Landmark ; Slit-laser
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper presents an autonomous wheelchair system with the capability of self-localization and obstacle avoidance. In our system, the ceiling lights are chosen as landmarks to realize the self-localization of the wheelchair, and a laser range-finder is used for obstacle avoidance. First the approaches of landmark recognition and selflocalization for the wheelchair are proposed. Then the principle of obstacle avoidance using a laser range-finder is described. Finally, the total system of the wheelchair is introduced and a navigational experiment is described. Experimental results indicate the effectiveness of our system.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02471129
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Hovering control of model helicopter by vision (1999)
    Springer
    Artificial life and robotics 3 (1999), S. 197-201 
    Details
    ISSN: 1614-7456
    Keywords: Helicopter ; Vision ; 3-D ; Autonomous
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract In this paper, we introduce an autonomous flying model helicopter with a vision control system. A feature of the helicopter is that autonomous hovering is realized by a vision control system. Owing to this vision control system, the model helicopter is able to take off, land, and hover without any human assistance. The vision control sstem is composed of a CCD camera mounted on the helicopter and an image processor on the ground. We first introduce the configuration of the helicopter system, which has a vision sensor, a clinometer, and an azimuth sensor. To determine the 3-D position and posture of helicopter, a technique of image recognition using a monocular image is used. Finally, we give an experiment result which we obtained in a hovering test with the vision control system. This result shows the effectiveness of the vision control system in the model helicopter.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02481139
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    Paper (German National Licenses)
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  • 3
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    Fabrication of ZnSnO3 based humidity sensor onto arbitrary substrates by micro-Nano scale transfer printing (2016)
    Elsevier
    Details
    Publication Date: 2016-08-01
    Print ISSN: 0924-4247
    Electronic ISSN: 1873-3069
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Elsevier
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  • 4
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    Extreme Gradient Boosting for Recommendation System by Transforming Product Classification into Regression Based on Multi-Dimensional Word2Vec (2021)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2021-04-27
    Description: Now that untact services are widespread and worldwide, the number of users visiting online shopping malls has increased. For example, the recommendation systems in Netflix, Amazon, etc., have gained a lot of attention by attracting many users and have made large profit by recommending suitable products to their users. In the paper, we conduct a study to enhance recommendation accuracy using Word2Vec, widely used in natural language processing. We collect user shopping history with personal click preference information of product items as data, representing a document for natural language processing. The sequence of product item clicks is fed into the Word2Vec technology algorithm to obtain the vectors symmetrically representing all of the product items clicked by users. Training and test data have a series of vectors representing a sequence of the clicked product items as inputs and a purchased product as a target. Machine learning models recommend a product as a symmetric vector for each input and calculate the similarity among the recommended vectors and all other registered products they sell in the system to recommend multiple products as final recommendation results. We use XGBoost regressor and classifier models to recommend some products that users would like and evaluate the recommendation accuracy. A finally recommended product by the models is a vector, and the system recommends some more products by calculating the similarity as mentioned above. We evaluated the classifier model’s recommendation accuracy without Word2Vec encoding first and then with the Word2Vec technique. Meanwhile, we can represent the products with single or multiple dimensional vectors. We noted that the recommendation accuracy increases when we use multiple dimensions of Word2Vec vectors from the experiments. We also evaluated the performances when the system recommends one or multiple products. For the recommendation of multiple products (five here), a regression model has higher accuracy than a classification model in all dimensions of vectors.
    Electronic ISSN: 2073-8994
    Topics: Mathematics
    Published by Molecular Diversity Preservation International
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