Combining cellular automata and local binary patterns for copy-move forgery detection

Detection of duplicated regions in digital images has been a highly investigated field in recent years since the editing of digital images has been notably simplified by the development of advanced image processing tools. In this paper, we present a new method that combines Cellular Automata (CA) and Local Binary Patterns (LBP) to extract feature vectors for the purpose of detection of duplicated regions. The combination of CA and LBP allows a simple and reduced description of texture in the form of CA rules that represents local changes in pixel luminance values. The importance of CA lies in the fact that a very simple set of rules can be used to describe complex textures, while LBP, applied locally, allows efficient binary representation. CA rules are formed on a circular neighborhood, resulting in insensitivity to rotation of duplicated regions. Additionally, a new search method is applied to select the nearest neighbors and determine duplicated blocks. In comparison with similar methods, the proposed method showed good performance in the case of plain/multiple copy-move forgeries and rotation/scaling of duplicated regions, as well as robustness to post-processing methods such as blurring, addition of noise and JPEG compression. An important advantage of the proposed method is its low computational complexity and simplicity of its feature vector representation

リモートセンシング ト GIS ニ ヨル トチ リヨウ トチ ヒフク ノ ヘンカ ノ スイテイ ニ ツイテ ：ガボン コク デ ラ モンダ ホゴ リン ノ バアイ

Foret Classee de la Mondah（FCM）ラ・モンダ保護林の土地利用・土地被覆（LULC）の変化について、定性的及び定量的に説明し、主な変動因子を求めた。このため、2000年4月7日にETM+、及び、2014年4月6日にOLIによる2時期の観測データについて、最尤法により分類後にLULCの変化を求めた。この結果、周辺地域の人口増加にともない宅地面積が20倍に急増し、不可逆的な人為的変化が見いだされた。これに加え、森林地域の面積が9.77%減少した。現地調査におけるGPSにより特定した位置情報、Google Earthによる高解像度データをサンプル領域の抽出あるいは分類結果の検証に利用した。LULCの持続的な管理を可能とするための保全政策を検討する段階で、政策立案者に対して、参照データとなる関連情報を見出すことができた。The Land Use / Land Cover (LUCL) changes in Foret Classee de la Mondah (FCM) in Gabon was studied to account for changes occurred in the past as a categorical and numerical changes and to explain their main driving causes. For this purpose, the LULC changes were analyzed using post-classification comparison technique, following to the maximum likelihood supervised classification, between two multi-temporal Landsat images of ETM+ and OLI, which were acquired on April 7th 2000 and April 6th 2014, respectively. Results highlighted irreversible human-induced changes, where the rapid growth of built-up areas exhibited 20 times from its initial area, because of the anthropogenic pressure of surrounding population. In addition, major changes occurred mainly in forested area with the loss of 9.77% of its initial area. During the classification process, the use of collateral data, such as GPS coordinates and high resolution images retrieved from ground survey and Google Earth, were extremely relevant to enhancement of sample selection of ROSs and for the validation of classification map as well. However, this study provided relevant findings which could be used as a reference for decision makers while developing conservation policies in order to generate sustainable LULC management practices

キョウユウ カイハツ カンキョウ ト シテノ OpenSimulator ト Unity ニ ツイテ

今回我々は OpenSimulator のアーカイブデータであるOARファイルをUnityに読み込ませるための変換システムの開発を行った．これにより，OpenSimulator を共有開発環境とし，Unityを通して容易に3次元空間の可視化データの作成が可能になった．We developed a conversion system to load OpenSimulator Archive (.oar) files into Unity. This system allows the user to load world data jointly created in OpenSimulator into Unity on a region-by-region basis, and to ultimately output the data from Unity in a variety of formats. These features allow us to treat the pairing of OpenSimulator and Unity as a shared development environment, which simplifies the low-cost creation of 3D spatial visualization data

ゲームリロン ニ モトヅイタ フクザツ ネットワーク ケイセイ ノ モデルカ

情報通信や社会学，生物学など多様な分野において，要素とその要素間の関係で構成されるネッ トワーク構造（トポロジ）が複雑ネットワークと呼ばれる特性を持っていることが明らかになって きている．多数の主体が自己組織的に複雑ネットワークを形成する原理を，構成主体の個人合理性 に落とし込むことで明らかにするために，我々はこれまでにゲーム理論に基づいた複雑ネットワー ク形成のモデル化を行い，その特性について分析してきた．本稿では，これまでの研究成果を概観 し，今後の展望について述べる．In various fields such as communication technology, sociology, and biology, it has been revealed that network structure（ topology） composed of elements and relationships of the elements has property of the complex networks. By the concept of individual rationality, in order to reveal why numerous individuals tend to self-organize complex networks, we have modeled complex networks formation based on game theory and analyzed their properties. In this paper, an overview of the research results and prospects are described

Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0

UltraSuite is a repository of ultrasound and acoustic data from child speech therapy sessions. The current release includes three data collections, one from typically developing children (UXTD) and two from children with speech sound disorders (UXSSD and UPX). This dataset contains additional materials for version 1.0 of Ultrax Typically Developing Children (UXTD), Ultrax Speech Sound Disorders (UXSSD), and UltraPhonix (UPX). It includes transcriptions, labels provided by speech therapists, reference labels with word boundaries, and automatically-derived speaker labels (therapist or child), phone boundary labels, and word boundary labels.Eshky, Aciel; Ribeiro, Manuel Sam; Cleland, Joanne; Renals, Steve; Richmond, Korin; Roxburgh, Zoe; Scobbie, James; Wrench, Alan. (2018). Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0, [dataset]. University of Edinburgh. School of Informatics. https://doi.org/10.7488/ds/2429

Mathematical Proof of Genomic Amino Acid Composition Homogeneity Based on Putative Small Units

The amino acid composition calculated from a gene assembly coding more than 3,000-7,000 amino acid residues represents the species specific amino acid composition based on the complete genome. In the present mathematical study, the 17 amino acid composition based on the sample size, 3,000-7,000, represents an amino acid composition with 95% level simultaneous confidence intervals for all amino acid probabilities in the sample. A genomic structure is constructed homogeneously with putative small units coding similar amino acid compositions under a mathematical rule

Similarity of Amino Acid Composition Based on Gene Assembly and Different Gene - size Distributions among the 11 Chromosomes in Encephalitozoon cuniculi

The amino acid composition and the gene-size distribution based on the complete genome of Encephalitozoon cuniculi were analyzed. The amino acid compositions based on the 11 chromosomes of Encephalitozoon cuniculi were almost identical, whereas the distribution patterns of gene-size among the chromosomes slightly differed. Thus, the genome is constructed with gene assemblies which show similar amino acid compositions, and which do not have the restricted boundaries