The Gallery stands as an alternative model to the myriad of buildings being built within Canberra’s ever-transforming Braddon precinct. The ground floor is arranged around a quasi-arcade surrounded by retail and commercial tenancies that lead to the residential lobby and public carpark. The main address facing Mort Street presents a horizontally stratified façade which suggests the hybrid uses that lay behind. The complex is bound by existing buildings on three of its four boundaries. The apartment is located on the third floor with the living room located on the sunny side. These elements celebrate circulation spaces as opportunities to create spatial interest through light, form and materiality and embraces the social aspects of high density living – giving attention to spaces that support encounters between residents and visitors. Nice, modern and fully furnished 5-room apartment with spacious and bright living room, extra dining room which can be used as a fourth bedroom, 3 bedrooms, sunny balcony, a modern kitchen, bathroom, laundry room and separate toilet. It contrasts the orthogonal geometries of the private spaces. The central spaces more expressive geometry echoes what is found in the public spaces of the ground floor. This layer was designed as a series of semi-transparent walls, built from a combination of timber and metal battens that provided both privacy and security without compromising access to natural light. HEATED SWIMMING POOL TENNIS COURT SPA BATH PING PONG 17 The Gallery is a new self-contained Penthouse Apartment located in The Gallery at Victor. This provided opportunity to create more compact apartment layouts and increase the site’s density without compromising access to natural light and air.Īn additional layer was introduced to create a divide between semi-public central spaces and the apartments. Open to the sky, the central atrium performs as the building’s lungs – allowing all dwellings to be naturally lit and ventilated from two sides. The building is split in two sections on the residential level which creates a more dynamic circulation space. The project aimed to break away from the straight-jacket of traditional central corridor models – often associated with multi-unit buildings. Operable perforated metal screens present an animated surface that can also handle the intensity of the western sun. Tinted glazing of the first floor conceals larger commercial tenancies behind. Its heritage developed the look and feel of the front entrance and public areas. The Gallery was built in Braddon, an area with deep seeded roots in industrialism. The apartment building features a range of one and two-bedroom, single level apartments and several one, two- and three-bedroom double-storey lofts. The Gallery is a 54-unit development, perched atop two levels of commercial space. Found in an old industrial area going through a period of rejuvenation, The Gallery Apartments draw inspiration from their surrounds with a striking façade, raw materials and natural finishes.
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In particular, the proposed models allow topical, lexical, syntactical, and character-level feature vectors of each document to be extracted as stylometrics. In this paper, to mimic the human sentence composition process using a neural network approach, we propose to incorporate different categories of linguistic features into distributed representation of words in order to learn simultaneously the writing style representations based on unlabeled texts for authorship analysis. Consequently, the choice of feature set has been shown to be scenario- or dataset-dependent. However, most of the previous techniques critically depend on the manual feature engineering process. It is an essential process for various areas, such as cybercrime investigation, psycholinguistics, political socialization, etc. It extracts an author's identity and sociolinguistic characteristics based on the reflected writing styles in the text. The result suggests that our model outperforms the state-of-the-art on semantic preservation, authorship obfuscation, and stylometric transformation.Īuthorship analysis (AA) is the study of unveiling the hidden properties of authors from a body of exponentially exploding textual data. We evaluate the performance of the proposed model on the real-life peer reviews dataset and the Yelp review dataset. It does not require any conditioned labels or paralleled text data during training. Combined with a semantic embedding reward loss function and the exponential mechanism, our proposed auto-encoder can generate differentially-private sentences that have a close semantic and similar grammatical structure to the original text while removing personal traits of the writing style. We propose a novel text generation model for authorship anonymization. Recent studies on writing style anonymization can only output numeric vectors which are difficult for the recipients to interpret. However, personal writing style, as a strong indicator of the authorship, is often neglected. Most of privacy protection studies for textual data focus on removing explicit sensitive identifiers. |
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