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- Abdul-Ahad, Amir Stefan, et al.
(författare)
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Robust distance-based watermarking for digital image
- 2008
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Ingår i: Proceedings of the 2008 International Conference on Security and Management, SAM 2008. - 160132085X - 9781601320858 ; , s. 404-409
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Konferensbidrag (refereegranskat)abstract
- In this paper, an algorithm is developed to invisibly watermark a cover object (color image) using watermark object (iconic image). The algorithm is based on the distances among the addresses of values of the cover object. These distances use to make the embedding. The order of manipulating these distances are specified by the values of the watermark data which is dealt with serially. The algorithm serves and achieves self encryption key. Each watermark object has its unique pattern of distances at different possible lengths of distance bits. This enhances the complexity of sequential embedding. The algorithm is tested using direct and single level and double level of Two-Dimensional Discrete Wavelet Transform (2D DWT) embeddings. Two important issues are addressed. Firstly is to achieve a high Peak Signal to Noise Ratio (PSNR). The ratio was found to increase with an increasing of distance bits. Secondly is that the watermarked object retains the same properties of cover object. The algorithm shows resisting and withstanding against the most important attacks. Some of these include the lossy compression, blurring, resize and some types of Noise.
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| 4. |
- Abut, Hüseyin, et al.
(författare)
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Real-World Data Collection with UYANIK
- 2009
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Ingår i: In-Vehicle Corpus and Signal Processing for Driver Behavior. - Boston, MA : Springer. - 9780387795812 - 9780387795829 ; , s. 23-44
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 6. |
- Akan, Batu, et al.
(författare)
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Augmented Reality-based Industrial Robot Control
- 2011
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Ingår i: Proceedings of SIGRAD 2011. - : Linköping University Electronic Press. - 9789173930086 ; , s. 113-114
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Konferensbidrag (refereegranskat)abstract
- Most of the interfaces which are designed to control or program industrial robots are complex and require special training for the user. This complexity alongside the changing environment of small medium enterprises (SMEs) has lead to absence of robots from SMEs. The costs of (re)programming the robots and (re)training the robot users exceed initial costs of installation. In order to solve this shortcoming, we propose a new interface which uses augmented reality (AR) and multimodal human-robot interaction. We show that such an approach allows easier manipulation of robots at industrial environments.
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| 7. |
- Akan, Batu, 1981-
(författare)
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Human Robot Interaction Solutions for Intuitive Industrial Robot Programming
- 2012
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Over the past few decades the use of industrial robots has increased the efficiency as well as competitiveness of many companies. Despite this fact, in many cases, robot automation investments are considered to be technically challenging. In addition, for most small and medium sized enterprises (SME) this process is associated with high costs. Due to their continuously changing product lines, reprogramming costs are likely to exceed installation costs by a large margin. Furthermore, traditional programming methods for industrial robots are too complex for an inexperienced robot programmer, thus assistance from a robot programming expert is often needed. We hypothesize that in order to make industrial robots more common within the SME sector, the robots should be reprogrammable by technicians or manufacturing engineers rather than robot programming experts. In this thesis we propose a high-level natural language framework for interacting with industrial robots through an instructional programming environment for the user. The ultimate goal of this thesis is to bring robot programming to a stage where it is as easy as working together with a colleague.In this thesis we mainly address two issues. The first issue is to make interaction with a robot easier and more natural through a multimodal framework. The proposed language architecture makes it possible to manipulate, pick or place objects in a scene through high level commands. Interaction with simple voice commands and gestures enables the manufacturing engineer to focus on the task itself, rather than programming issues of the robot. This approach shifts the focus of industrial robot programming from the coordinate based programming paradigm, which currently dominates the field, to an object based programming scheme.The second issue addressed is a general framework for implementing multimodal interfaces. There have been numerous efforts to implement multimodal interfaces for computers and robots, but there is no general standard framework for developing them. The general framework proposed in this thesis is designed to perform natural language understanding, multimodal integration and semantic analysis with an incremental pipeline and includes a novel multimodal grammar language, which is used for multimodal presentation and semantic meaning generation.
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| 8. |
- Akan, Batu, et al.
(författare)
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Interacting with industrial robots through a multi-modal language and sensory systems
- 2008
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Ingår i: 39th International Sysmposium on Robotics, Seoul, Korea. ; , s. 66-69
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Konferensbidrag (refereegranskat)abstract
- Over the past few decades the use of industrial robots has increased a company's efficiency as well as strengthening their competitiveness in the market.Despite this fact, in many cases, robot automation investments are considered to be technically challenging as well as costly by small and medium sized enterprises (SME). We hypothesize that in order to make industrial robots more common within the SME sector, the robots should be reprogrammable by task experts rather than robot programming experts. Within this project we propose to develop a high level language for intelligent human robot interaction that relies on multi-sensor inputs providing an abstract instructional programming environment for the user. Eventually to bring robot programming to stage where it is as easy as working together with a colleague
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| 9. |
- Akan, Batu, et al.
(författare)
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Intuitive Industrial Robot Programming Through Incremental Multimodal Language and Augmented Reality
- 2011
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Ingår i: 2011 IEEE International Conferance on Robotics and Automation (ICRA 2011). - : IEEE. - 9781612843865 ; , s. 3934-3939
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Konferensbidrag (refereegranskat)abstract
- Developing easy to use, intuitive interfaces is crucial to introduce robotic automation to many small medium sized enterprises (SMEs). Due to their continuously changing product lines, reprogramming costs exceed installation costs by a large margin. In addition, traditional programming methods for industrial robots is too complex for an inexperienced robot programmer, thus external assistance is often needed. In this paper a new incremental multimodal language, which uses augmented reality (AR) environment, is presented. The proposed language architecture makes it possible to manipulate, pick or place the objects in the scene. This approach shifts the focus of industrial robot programming from coordinate based programming paradigm, to object based programming scheme. This makes it possible for non-experts to program the robot in an intuitive way, without going through rigorous training in robot programming.
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