Abstract This paper proposes an identification framework of the possible criminal offences charges based on textual criminal cases of the Civil Law system. The framework is constructed as the model, devised as a multi-stage based on the defined charges structure in criminal law codes. The first stage is to modularly identify type of action which is designed based on the offences charges... This paper proposes an identification framework of the possible criminal offences charges based on textual criminal cases of the Civil Law system. The framework is constructed as the model, devised as a multi-stage based on the defined charges structure in criminal law codes. The first stage is to modularly identify type of action which is designed based on the offences charges abstractly categorized by defined criminal elements. The second stage is to identify the additional legal elements, leading to general provisions which may affect to the sentence or amount of punishments. This classification stage is designed as multiple autonomous classification system. The integrated model is expected to be able to categorize charge type and provisional legal elements and to predict the final possible sentence and range of punishment. An evaluation aims to achieve high accuracy of classification while reserving explainable results, which is required in an application of legal domain. Read More Read Less

Abstract This paper proposes a robust watermarking approach based on Discrete Cosine Transform (DCT) domain that combines Quick Response (QR) Code and chaotic system. When embed the watermark, the high error correction performance and the strong decoding capability of QR Code are utilized to decode the text watermark information which improves the robustness of the watermarking algorithm. Then the QR Code... This paper proposes a robust watermarking approach based on Discrete Cosine Transform (DCT) domain that combines Quick Response (QR) Code and chaotic system. When embed the watermark, the high error correction performance and the strong decoding capability of QR Code are utilized to decode the text watermark information which improves the robustness of the watermarking algorithm. Then the QR Code image is encrypted with chaotic system to enhance the security of this approach. Finally the encrypted image is embedded to the carrier image’s DCT blocks after they underwent block based Arnold scrambling transformation. During the extraction process, as long as the QR Code image can be decoded, the completeness and accuracy of the text watermarking information can be guaranteed. The results of simulation experiment show that this approach has high robustness and security and has, therefore, some practical value in the copyright protection. Read More Read Less

Abstract In this paper, we address the K-anonymity issue. For preserving privacy in data publishing, K-anonymity algorithms and semantic privacy models have potential. We proved this fact with adequate discussions and illustrations. We hope to document further the K-anonymity issue in the forthcoming research. ... In this paper, we address the K-anonymity issue. For preserving privacy in data publishing, K-anonymity algorithms and semantic privacy models have potential. We proved this fact with adequate discussions and illustrations. We hope to document further the K-anonymity issue in the forthcoming research. Read More Read Less