| 1. |
- Fahlquist, Karin, et al.
(author)
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Human animal machine interaction : Animal behavior awareness and digital experience
- 2010
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In: Proceedings of ACM Multimedia 2010 - Brave New Ideas, 25-29 October 2010, Firenze, Italy.. - New York, NY, USA : ACM. - 9781605589336 ; , s. 1269-1274
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Conference paper (peer-reviewed)abstract
- This paper proposes an intuitive wireless sensor/actuator based communication network for human animal interaction for a digital zoo. In order to enhance effective observation and control over wild life, we have built a wireless sensor network. 25 video transmitting nodes are installed for animal behavior observation and experimental vibrotactile collars have been designed for effective control in an animal park. The goal of our research is two-folded. Firstly, to provide an interaction between digital users and animals, and monitor the animal behavior for safety purposes. Secondly, we investigate how animals can be controlled or trained based on vibrotactile stimuli instead of electric stimuli. We have designed a multimedia sensor network for human animal machine interaction. We have evaluated the effect of human animal machine state communication model in field experiments.
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| 2. |
- Li, Fei, et al.
(author)
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A quantum search based signal detection for MIMO-OFDM systems
- 2011
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In: 18th International Conference on Telecommunications, ICT 2011. - : IEEE. - 9781457700248 - 9781457700255 ; , s. 276-281
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Conference paper (peer-reviewed)abstract
- Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is considered as candidates for future broadband wireless services. In this paper a novel signal detection scheme based on Grover's quantum search algorithm is proposed for MIMO-OFDM systems. Grover's quantum search algorithm is based on the concept and principles of quantum computing, such as quantum bit, quantum register and quantum parallelism. An analysis is given to the theoretical basis of Grover's algorithm and the performance of Grover's algorithm is evaluated. A novel signal detector based on Grover's algorithm (GD) for MIMO-OFDM system is proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than MMSE detector and VBLAST-MMSE detector. The performance of the proposed GD detector is close to optimal when the failure probability is 0.001. When the failure probability is 0.00001, the performance of GD detector declines. In this case, our proposed improved Grover's algorithm based detector is still close to the optimal ML detector. The complexity of GD and IGD is O(√N). It's much better than classical ML detector which complexity is O(N).
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| 3. |
- Li, Fei, et al.
(author)
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Quantum Bacterial Foraging Optimization Algorithm
- 2014
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In: 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). - : IEEE Press. - 9781479914883 ; , s. 1265-1272
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Conference paper (peer-reviewed)abstract
- This paper proposes a novel swarm intelligence optimization method which integrates bacterial foraging optimization (BFO) with quantum computing, called quantum bacterial foraging optimization (QBFO) algorithm. In QBFO, a multi-qubit which can represent a linear superposition of states in search space probabilistically is used to represent a bacterium, so that the quantum bacteria representation has a better characteristic of population diversity. A quantum rotation gate is designed to simulate the chemotactic step to drive the bacteria toward better solutions. Several tests are conducted based on benchmark functions including multi-peak function to evaluate optimization performance of the proposed algorithm. The numeric results show that the proposed QBFO has more powerful properties in convergence rate, stability and the ability of searching for the global optimal solution than the original BFO and quantum genetic algorithm. In addition, we applied our proposed QBFO to solve the traveling salesman problem, which is a well-known NP-hard problem in combinatorial optimization. The results indicate that the proposed QBFO shows better convergence behavior without premature convergence, and has more powerful properties in convergence rate, stability and the ability of searching for the global optimal solution, as compared to ant colony optimization algorithm and quantum genetic algorithm.
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| 4. |
- Karlsson, Johannes, 1977-, et al.
(author)
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Applications of wireless visual sensor networks : the digital zoo
- 2010
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In: Visual information processing in wireless sensor networks. - : IGI Global.
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Book chapter (other academic/artistic)abstract
- In this chapter we will describe our work to set up a large scale wireless visual sensor network in a Swedish zoo. It is located close to the Arctic Circle making the environment very hard for this type of deployment. The goal is to make the zoo digitally enhanced, leading to a more attractive and interactive zoo. To reach this goal the sensed data will be processed and semantic information will be used to support interaction design, which is a key component to provide a new type of experience for the visitors. In this chapter we will describe our research work related to the various aspects of a digital zoo
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| 5. |
- Karlsson, Johannes, 1977-, et al.
(author)
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Tracking and identification of animals for a digital zoo
- 2010
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In: Proceedings of the 1st IEEE/ACM Internet of Things Symposium, 18-20 December 2010, Hangzhou, China..
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Conference paper (peer-reviewed)abstract
- In this paper we present our approach to use a combination of radio frequency identification (RFID) and a wireless camera sensor network to identify and track animals at a zoo. We have developed and installed 25 cameras covering the whole zoo. The cameras are totally autonomous and they are configuring themselves in a wireless ad-hoc network. At strategic locations RFID readers are deployed to identify animals in close proximity. The camera network deployed in the zoo is continuous tracking animals in its field of view. By using data fusion from the camera system and the RFID readers we can get semi-continuous tracking of individual animals. The camera network has been running in the zoo for more than one year and about 5 000 hours of video has been captured and recorded. This will give us a very large dataset for offline development and testing of computer vision algorithms for animal detection and tracking.
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