Enabling fine-grained multi-keyword search supporting classified sub-dictionaries over encrypted cloud data

Using cloud computing, individuals can store their data on remote servers and allow data access to public users through the cloud servers. As the outsourced data are likely to contain sensitive privacy information, they are typically encrypted before uploaded to the cloud. This, however, significantly limits the usability of outsourced data due to the difficulty of searching over the encrypted data. In this paper, we address this issue by developing the fine-grained multi-keyword search schemes over encrypted cloud data. Our original contributions are three-fold. First, we introduce the relevance scores and preference factors upon keywords which enable the precise keyword search and personalized user experience. Second, we develop a practical and very efficient multi-keyword search scheme. The proposed scheme can support complicated logic search the mixed “AND”, “OR” and “NO” operations of keywords. Third, we further employ the classified sub-dictionaries technique to achieve better efficiency on index building, trapdoor generating and query. Lastly, we analyze the security of the proposed schemes in terms of confidentiality of documents, privacy protection of index and trapdoor, and unlinkability of trapdoor. Through extensive experiments using the real-world dataset, we validate the performance of the proposed schemes. Both the security analysis and experimental results demonstrate that the proposed schemes can achieve the same security level comparing to the existing ones and better performance in terms of functionality, query complexity and efficiency.

Tokyo’s Dojunkai experiment: courtyard apartment blocks 1926–1932

Dojunkai apartments were constructed by the Japanese Government as a work of relief, after the Great Kanto Earthquake in Tokyo. These apartments were leading examples in concrete construction in Japan and were innovative in their exterior space design ideas and building organizational themes. Dojunkai apartments were designed not only as solutions to particular sites, but as possible models for the further development of well-planned, secure, and communal neighbourhood style residential developments. During 1920–1930, Japanese architects and designers were actively involved in experimenting with foreign concepts of urban remodelling and town planning. However while these town-planning concepts and theories were embraced by Japanese architects and town planners, the resultant apartment complexes suggest that they endeavoured to adapt and transform them to suit Japanese sensibilities and urban requirements. This paper examines the nature of these adaptations and transformations. The principles of exterior space design are deployed to examine and identify patterns in building arrangement and exterior space design for six selected Dojunkai apartments. This paper discusses the pre-existing models of urban planning in Japan to establish a relationship between the adopted foreign town-planning models and the pre-existing ideas of urban settlements in the Japanese society.

UGI: a multi-dimensional ultrasonic-based interaction approach

We are currently witnessing an era where interaction with computers is no longer limited to conventional methods (i.e. keyboard and mouse). Human Computer Interaction (HCI) as a progressive field of research, has opened up alternatives to the traditional interaction techniques. Embedded Infrared (IR) sensors, Accelerometers and RGBD cameras have become common inputs for devices to recognize gestures and body movements. These sensors are vision based and as a result the devices that incorporate them will be reliant on presence of light. Ultrasonic sensors on the other hand do not suffer this limitation as they utilize properties of sound waves. These sensors however, have been mainly used for distance detection and not with HCI devices. This paper presents our approach in developing a multi-dimensional interaction input method and tool Ultrasonic Gesture-based Interaction (UGI) that utilizes ultrasonic sensors. We demonstrate how these sensors can detect object movements and recognize gestures. We present our approach in building the device and demonstrate sample interactions with it. We have also conducted a user study to evaluate our tool and its distance and micro gesture detection accuracy. This paper reports these results and outlines our future work in the area.