35188491
Requirement and Design Analysis for the Post-Trauma Mobile Psychology Service
In 2008, a serious earthquake struck Sichuan province. Tens of thousands of people in disaster areas have suffered injuries both in physical and mental aspects. Thus, a Post-Trauma Mobile Service (PTMS) is launched and implemented in Sichuan province, which creates a new mode of long-distance psychological counseling service. This study discusses the comparisons between mobile-based and traditional psychological counseling method, indicating that mobile-based method is a significant experiment both in the post-disaster psychological assistance work and mobile communication service. Besides, requirement analysis is explored, which guides the work of PTMS system design. The system design is described in three stages including architecture design, service mode design and industry chain analysis, in which online and offline service mode are highlighted. This study presents the implementation of PTMS service, which shows that the mobile-based platform and service mode have acceptable psychometric properties, equivalent with paper-based method.
9126668
Hand Gesture Tracking for Wearable Computing Systems
A spin stabilized, earth orbitting satellite having a phased array antenna capable of radiating a plurality of steered electromagnetic beams to predetermined earth locations. The antenna array extends around the satellite and is made up of individual elements which are energized through semiconductor diode devices by electron beams. The electron beams are controlled by fields having the same frequency as the spin frequency of the satellite.
8140967
Character-like region verification for extracting text in scene images
This paper proposes a method of identifying character-like regions in order to extract and recognize characters in natural color scene images automatically. After connected component extraction based on a multi-group decomposition scheme, alignment analysis is used to check the block candidates, namely, the character-like regions in each binary image layer and the final composed image. Priority adaptive segmentation (PAS) is implemented to obtain accurate foreground pixels of the character in each block. Then some heuristic meanings such as statistical features, recognition confidence, and alignment properties, are employed to justify the segmented characters. The algorithms are robust for a wide range of character fonts, shooting conditions, and color backgrounds. Results of our experiments are promising for real applications.
206800753
Automatic character location and segmentation in color scene images
This paper describes a connected component (CC)-based approach to automatic text location and segmentation in natural scene images. A multi-group decomposition scheme is used to deal with the complexity of the color background. Connected component extraction is implemented using the block adjacency graph (BAG) algorithm after noise filtering and runlength smearing (RLS) operation. Some heuristic features and priority adaptive segmentation (PAS) of characters are proposed in block candidate verification and grayscale-based recognition. A prototype system is completed and the experimental results prove the effectiveness of the proposed method.
14093058
A virtual mouse system for mobile device
This paper presents a novel virtual mouse system for mobile phones. The system is based on computer vision techniques. It first captures an image using the camera of the mobile phone, then extracts feature points of the scene and tracks them. By using this algorithm we can estimate the camera motion and give the translation vector to our virtual mouse interface. We use NOKIA 6630 camera phone as the developing platform which has a Mega Pixel camera on the back of it. The experiments show the promising results.
12667544
Camera Readable 2D Bar Codes Design and Decoding for Mobile Phones
2D bar codes were designed to carry significantly more data than its 1D counterpart. Thanks to the popular combination of cameras and mobile phones, it will naturally bring great commercial value to use the camera phone for 2D bar code reading. This paper addresses the problem of specific 2D bar code design for mobile phones and introduces a low-level solution of matrix codes. At the same time, we propose an efficient scheme for 2D bar codes decoding, of which the effort is put on solutions of the difficulties introduced by low image quality that is very common in bar code images taken by a phone camera.
189947
Evaluating Service Identification with Design Metrics on Business Process Decomposition
One of the key activities to construct a successful Service-Oriented Architecture (SOA) is the identification of services with the right level of abstraction. Most of existing SOA design methodologies advocate identifying services from the top-down decomposition of business processes. However, the identification quality in these methodologies heavily depends on the expertise and experience of individual designers. The ability to quantitatively evaluate service identification is absolutely needed. In this paper, we propose an approach that supports such evaluation by applying the measurement technology to the service-based business process decomposition. A model to capture related architectural elements with their relationships is presented. A set of design metrics are proposed for measuring various features of identified services in the service portfolio, including service granularity, coupling, cohesion, and business entity convergence. To apply the approach, a prototypical measurement tool for service identification is developed. An automotive work order scenario is used as an illustration example to explain our approach and demonstrate its effectiveness.
3219653
Key Elements Tracing Method for Parallel XML Parsing in Multi-Core System
Though XML is applied intensively in a lot of applications, XML parsing is not practical in many fields because of its poor performance. Parallel XML parsing on multi-core is a promising choice. Previous methods all adopt data parallel approach on XML parsing. As the semi-structured nature of XML, they were obliged to divide the data into well-formed XML chunks and then parse these chunks parallel. The division process is named as preparsing. As the preparsing is serial, it becomes the bottleneck of parallel XML parsing. Related work Simultaneous Finite Transducer (SFTXP) parallelized the preparsing stage. It maintained multiple preparser results for each equal sized chunk according to enumerated all possible parsing states. In spite of finite states for each XML, the overhead by SFTXP is tremendous, including CPU time and memory for multiple results generating and storing, respectively. In this work, we address parallel XML parsing by Key Element Parse Tracing (KEPT) method which parallelizes the preparsing and parsing at element level. It remolds the preparsing as a key element extracting process and schedules the processing of key elements in the framework of KEPT. Then parsing process is parallelized as a whole. To demonstrate the effectiveness, we implement it on libxml2 and obtain good scalability on both an 8-core Linux machine and an 8-core 24 SMT Sun machine running Solaris.
12042823
bSpace: A Data Cleaning Approach for RFID Data Streams Based on Virtual Spatial Granularity
RFID holds the promise of real-time identifying, locating, tracking and monitoring physical objects without line of sight, and can be used for a wide range of pervasive computing applications. To achieve these goals, RFID data have to be collected, filtered, and transformed into semantic application data. RFID data, however, contain false readings and duplicates. Such data cannot be used directly by applications unless they are filtered and cleaned. To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a “smoothing filtering”. In this paper, a new “smoothing filtering” approach named bSpace is proposed, which is based on the concept of virtual spatial granularity. For providing accurate RFID data to applications, bSpace uses a Bayesian estimation algorithm to fill up false negatives, and uses the rules which we define to solve false positives.
8422890
Spatiotemporal Phase Congruency Based Invariant Features for Human Behavior Classification
In applications of behavior recognition, the use of spatiotemporal invariant feature points can improve the robustness to noise, illumination and geometric distortions. In this paper, we develop a novel detection model of spatiotemporal invariant feature by generalizing the notion of image phase congruency to video volume phase congruency. The proposed model detects feature points by measuring the spatiotemporal phase congruency of Fourier series components along with their characteristic scale and principal orientation. Compared with other state-of-the-art methods, the key advantages of this interest point detector include the invariance to contrast variations and more precise feature location. Furthermore, an invariant feature descriptor is advanced based on the phase congruency map, resulting in enhanced discriminative power in classification tasks. Experimental results on KTH human motion dataset demonstrate the validity and effectiveness of the extracted invariant features in the human behavior recognition scheme.
20063786
Implementation of a graphics design framework on the Web
We propose a client-server graphics design framework and implement a room design system using CORBA. We have integrated technologies used in distributed computation (Java and CORBA) and computer graphics (VRML). To support multiuser collaborative design, we propose a supplier-consumer communication approach and implement it using the event service in CORBA. Our system can be applied in electronic commerce to improve the existing systems by allowing customers to select furniture and to visualize the whole furnished room in 3D.