ENPI / e-JIKEI Network Promotion Institute

Journal of Technology and Social Science (JTSS, J. Tech. Soc. Sci.)

An international open-access peer-reviewed journal

ISSN 2432-5686

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Vol.7, No.2

TABLE OF CONTENTS

Articles

The Place of Artificial Intelligence in Human History

Yusaku Fujii

Journal of Technology and Social Science, Vol.7, No.2, pp.1-5, 2023.

Abstract: This paper discusses the position of artificial intelligence (AI) in the history of mankind. First, as background, the paper introduces the arguments of AI deniers, who regard AI as “the worst and the last invention of mankind,” and the arguments of AI proponents, who argue that AI cannot be a threat to mankind in the foreseeable future. Next, as topics related to AI as a threat or a contributor to mankind, the current status and future of AI support or replacement of the jobs of drivers, doctors, and teachers will be discussed. Finally, the possibility of the realization of Singularity and the state of the world when the role of “humans as a source of wealth and power” is lost will be discussed.

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Image Retrieval Algorithm Fusion of GLCM Features and Tamura Texture Features

Kan Ni, Haohao Zhang, Xiongwen Jiang, Taiga Kuroiwa, Takato Yoshida, Haolan Zhang, and Seiji Hashimoto

Journal of Technology and Social Science, Vol.7, No.2, pp.6-15, 2023.

Abstract: This paper combines color features and texture features, and uses Euclidean distance to calculate the similarity of two images for image retrieval. First, in the HSV space, color features are extracted and normalized. Then, the eigenvalues of GLCM are extracted and combined with Tamura features to form richer texture features. Finally, the color and texture similarity of the image to be retrieved and the image in the image library are calculated respectively, and the color and texture features are fused under different weights to obtain the final similarity. Matlab experiments show that different kinds of images have different precisions when assigning different weights to color and texture. Adjusting the feature weights of an image can improve precision.

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