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17th Pacific Asia Conference on Information systems, PACIS 2013

作者： Senapathi, Mali Drury, Meghann Srinivasan, Ananth School of Computing and Mathematical Sciences AUT University Auckland New Zealand Gabelli School of Business Graduate School of Business Administration Fordham University New York United States Information Systems and Operations Management University of Auckland Business School Auckland New Zealand

Agile methodologies (AM), which emphasize iterative and incremental development with just-in-time processes and documentation, have been adopted by an increasing number of organisations. Despite this progress there is lack of clarity on their effective use after initial adoption. While there is much research on the use of various agile methods and practices, there is very limited understanding on the critical factors that impact their continued and effective usage. To address this gap, an integrated model called the Agile Usage Model (AUM) was developed, by coalescing insights from organisational level Information systems implementation, traditional innovation diffusion models, and post-adoptive agile usage. The objective of this study is to use multiple data collection methods to further evaluate and refine the AUM. The final refined conceptual model of Agile Usage is presented along with implications for research and practice.

关键词： Iterative methods

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A system for tongue motor function training

A system for tongue motor function training

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2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013

作者： Sasaki, Makoto Onishi, Kohei Nakayama, Atsushi Kamata, Katsuhiro Stefanov, Dimitar Yamaguchi, Masaki Graduate School of Engineering Iwate University Morioka Japan Department of Intelligent Systems Engineering Ichinoseki National College of Technology Ichinoseki Japan Pattern Art Laboratory Co. Ltd. Hanamaki Japan Faculty of Engineering and Computing Coventry University Coventry United Kingdom

In this paper, we proposed a novel tongue motor function training system that can be used to expand the range of motion of the tongue and to strengthen the muscles that activate the tongue.

关键词： Motion estimation

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Compressive data retrieval with tunable accuracy in vehicular sensor networks

Compressive data retrieval with tunable accuracy in vehicula...

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8th International Conference on Wireless Algorithms, systems, and Applications, WASA 2013

作者： Jiang, Ruobing Zhu, Yanmin Wang, Hongjian Gao, Min Ni, Lionel M. Department of Computer Science and Engineering Shanghai Jiao Tong University China Shanghai Key Lab of Scalable Computing and Systems China Guangzhou HKUST Fok Ying Tung Graduate School Hong Kong Hong Kong Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9783642397004

On-demand data retrieval is a crucial routine operation in a vehicular sensor network. However, on-demand data retrieval in a vehicular environment is particularly challenging because of frequent network disruption, large number of data readings and limited transmission opportunities. Real world vehicular datasets usually contain a lot of data redundancy. Motivated by this important observation, we propose an approach called CDR with compressive sensing for on-demand data retrieval in the highly dynamic vehicular environment. The distinctive feature of CDR is that it supports tunable accuracy of data collection. There are two major challenges for the design of CDR. First, the sparsity level of the vehicular dataset is typically unknown beforehand. Second, it is even worse that the sparsity level of the dataset is changing over time. To combat the challenge posed by time-varying data sparsity, CDR can terminate from further collection of measurements, based on an adaptive condition on which only localized measurements and computation are needed. Extensive simulations with real datasets and real vehicular GPS traces show that our approach achieves good performance of data retrieval with user-customized accuracy. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Sensor networks

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Real-Time Estimation of Tongue Movement based on Suprahyoid Muscle Activity

Real-Time Estimation of Tongue Movement based on Suprahyoid ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： M. Sasaki K. Onishi T. Arakawa A. Nakayama D. Stefanov M. Yamaguchi Graduate School of Engineering Iwate University Department of Intelligent Systems Engineering Ichinoseki National College of Technology Faculty of Engineering and Computing Coventry University

ISBN: (纸本)9781457702150

In this study, we introduce a real-time method for tongue movement estimation based on the analysis of the surface electromyography (EMG) signals from the suprahyoid muscles, which usual function is to open the mouth and to control the position of the hyoid, the base of the tongue. Nine surface electrodes were affixed to the underside of the jaw and their signals were processed via multi-channel EMG system. The features of the EMG signals were extracted by using a root mean square (RMS) method. The dimension of the variables was reduced additionally from 108 to 10 by applying the Principal Component Analysis (PCA). The feature quantities of the reduced dimension set were associated with the tongue movements by using an artificial neural network. Results showed that the proposed method allows precise estimation of the tongue movements. For the test data set, the identification rate was greater than 97 % and the response time was less than 0.7 s. The proposed method could be implemented to facilitate novel approaches for alternative communication and control of assistive technology for supporting the independent living of people with severe quadriplegia.

关键词： Motor function of tongue Suprahyoid muscle Time Estimation Electromyogram Tongue Self-Help Devices Reaction Time signals observational data Root mean square Jaw

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cHPP controller: A High Performance Hyper-node Hardware Accelerator

cHPP controller: A High Performance Hyper-node Hardware Acce...

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IEEE International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Yong Su Feilong Liu Zheng Cao Zhan Wang Xiaoli Liu Xuejun An Ninghui Sun Graduate University of Chinese Academy of Sciences Beijing China National Research Center for Intelligent Computing Systems Chinese Academy of Sciences Beijing China

The high-density blade server provides an attractive solution for the rapid increasing demand on computing. The degree of parallelism inside a blade enclosure nowadays has reach up to hundreds of cores. In such parallelism, it is necessary to accelerate communications inside a blade enclosure. However, commercial products seldom set foot in the optimization based on hardware. A hyper-node controller is proposed to provide a low overhead and high performance interconnection based on PCIe, which supports global address space, user-level communication, and efficient communication primitives. Furthermore, the efficient sharing of I/O resource is another goal of this design. The prototype of the hyper-node controller is implemented in FPGA. The testing results show the lowest latency is only 1.242us and the highest bandwidth is 3.19GB/s, which is almost 99.7% of the theoretic peak bandwidth.

关键词： Engines Bandwidth Blades Payloads Protocols Virtualization Hardware

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Avatar navigation in Second Life using brain signals

Avatar navigation in Second Life using brain signals

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IEEE International Symposium on Intelligent Signal Processing

作者： Mehrnaz Kh. Hazrati Ulrich G. Hofmann Graduate School for Computing in Medicine and Life Sciences University of Lübeck Lübeck Germany Neuroelectronic Systems University Medical Center Freiburg Freiburg Germany

This paper presents an interdisciplinary project conducted in a sophisticated approach to set up a connection between the human brain and a virtual world illustration. The main purpose of this research is to develop an interaction technique for entertainment and to investigate the virtual reality aspects for physical rehabilitation. Users could freely explore Second Life's virtual world and steer their avatar to the target point using their brain signals. The experiment was carried out on three subjects. The control can be accomplished by online processing of single-trial EEG signals recorded from EPOC headset, Emotiv, and passing the parameters to the main interface. An adaptive filter-based approach was used to reduce the eye blink distortions. Time-frequency features with combination of an ensemble LDA classifier led to a maximum 87.2% of accuracy.

关键词： Matching pursuit algorithms Second Life Dictionaries Avatars Electroencephalography Headphones Accuracy

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A constraint and rule in an enhancement of binary particle swarm optimization to select informative genes for cancer classification

A constraint and rule in an enhancement of binary particle s...

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17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013

作者： Mohamad, Mohd Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifumi Artificial Intelligence and Bioinformatics Research Group Faculty of Computing Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Electronics Information and Communication Engineering Osaka Institute of Technology Osaka 535-8585 Japan Department of Computer Science and Intelligent Systems Graduate School of Engineering Osaka Prefecture University Sakai Osaka 599-8531 Japan

ISBN: (纸本)9783642403187

Gene expression data have been analyzing by many researchers by using a range of computational intelligence methods. From the gene expression data, selecting a small subset of informative genes can do cancer classification. Nevertheless, many of the computational methods face difficulties in selecting small subset since the small number of samples needs to be compared to the huge number of genes (high-dimension), irrelevant genes and noisy genes. Hence, to choose the small subset of informative genes that is significant for the cancer classification, an enhanced binary particle swarm optimization is proposed. Here, the constraint of the elements of particle velocity vectors is introduced and a rule for updating particle's position is proposed. Experiments were performed on five different gene expression data. As a result, in terms of classification accuracy and the number of selected genes, the performance of the introduced method is superior compared to the conventional version of binary particle swarm optimization (BPSO). The other significant finding is lower running times compared to BPSO for this proposed method. © Springer-Verlag 2013.

关键词： Particle swarm optimization (PSO)

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3D printers may reduce animal numbers to train neuroengineering procedures

3D printers may reduce animal numbers to train neuroengineer...

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International IEEE/EMBS Conference on Neural Engineering

作者： Bernd M. Pohl Fernando Gasca Olaf Christ Ulrich G. Hofmann Institute for Signal Processing University of Luebeck Graduate School for Computing in Medicine and Life Sciences University of Luebeck Research Group for Neuroelectronic Systems Department of Neurosurgery University Medical Center Freiburg

ISBN: (纸本)9781467319676

Neuroengineering related interventions to small animals always carry the high risk of missled procedures, frequently causing premature death of the animal. In this paper the manufacturing process to build a physical rat skull and brain model for educational use is presented. Out of MRI images a rat brain was segmented to build a negative mould. This form was used to cast an agarose rat brain. For an accompanying rat neurocranium model, CT images were rendered to a surface mesh and printed in 3D out of PLA. The presented workflow results in a high detailed rat skull and rat brain.

关键词： 3D Printer animal numbers Rat Brain Brain modeling Manufacturing process Premature Mortality Skull TRAIN Animals Rats

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Robust robotic grasping using IR Net-Structure Proximity Sensor to handle objects with unknown position and attitude

Robust robotic grasping using IR Net-Structure Proximity Sen...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Sha Ye Kenji Suzuki Yosuke Suzuki Masatoshi Ishikawa Makoto Shimojo Mechanical Engineering and Intelligent Systems University of Electro-Communications Chofu Tokyo Japan Department of Information Physics and Computing Graduate School of Information Science and Technology University of Tokyo Bunkyo Tokyo Japan

ISBN: (纸本)9781467356404

In this paper, we focus on unknown parameters such as the position and attitude of the object, and describe a short-range, high-speed and noncontact sensing method for obtaining the position and attitude of the object using IR Net-Structure Proximity Sensor (“IR-NSPS”) which complements the dead region of sensory information between visual and tactile sensing. To be more precise, we propose two effective control methods which are pre-shaping and object positioning using IR-NSPS for robust grasping by adjusting the gripper configuration in response to attitude error of up to ±45 deg and the position error of up to ±80 mm of the unknown object. The methods therefore can significantly increase the speed and effectiveness of grasping objects without requiring a specific approach that depends on a vision sensor. Furthermore, to demonstrate the advantages of pre-shaping and object positioning, object grasping experiments were performed using these two operations to grasp objects placed randomly on a tabletop.

关键词： Grasping Position measurement Tactile sensors Robustness

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Center-surround interactions in a network model of layer 4Cα of primary visual cortex

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BMC Neuroscience 2013年第1期14卷 1-2页

作者： Christoph Metzner Achim Schweikard Bartosz Zurowski Institute for Robotics and Cognitive Systems University of Luebeck 23538 Luebeck Germany Graduate School for Computing in Medicine and Life Sciences University of Luebeck 23538 Luebeck Germany Department of Psychiatry University Clinics Schleswig-Holstein 23538 Luebeck Germany

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