ppxscal/embedding_network huggingface dataset:
Novel iterative receivers for TR UWB systems
Authors: Yunfei Chen, Norman C. Beaulieu, Shuyi Wang
Venue: IEEE Communications Letters (2009)

Two novel receivers for transmitted-reference ultra-wide bandwidth wireless systems are proposed. The new receivers are derived by using iterative algorithms to implement the channel template estimators employed in previous receivers. While the new receiver structures are simple, simulation results confirm their superiority over previous receivers. The performances of the new receivers can be further improved by optimizing the energy allocation between reference symbols and data symbols within one data packet and by optimizing the number of samples used in correlation. Numerical examples show that the optimization can provide performance gains of up to 4 dB in some cases.
HS-LS-CD Hybrid Conjugate Gradient Algorithm for Unconstrained Optimization
Authors: Hui Yan, Lanping Chen, Baocong Jiao
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Conjugate gradient methods are important forlarge-scale unconstrained optimization. In this paper, we propose anew formula $\beta_{k}$ for unconstrained optimization, which is thehybrid from HS method, LS method and CD method. From theconstruction of the new formula $\beta_{k}$, we use a directionwhich is different from traditional $ d_{k}$. The directionsatisfies descentconditions naturally. And$d_{k}^{T}g_{k}=-\|g_{k}\|^{2}$ depends neither on the line searchused nor on the convexity of the objective function. Under suitableconditions, we prove that the new method can ensure the globalconvergence. Numerical experiments show that the algorithmisefficient.
A Proposal and Trial on a Model of a Motion Monitor System for a Ski Jumper Using Terrestrial Magnetism and Acceleration Sensors
Authors: Masaki Oikawa, Nobuyoshi Sato, Yoshitoshi Murata
Venue: Proceedings of the 2009 International Conference on Network-Based Information Systems (2009)

We have been developing a monitor system of workers in a factory using terrestrial magnetism sensors and acceleration sensors. Terrestrial magnetism sensor is not suitable to monitor linear movement, however, we confirmed it can monitor rotation movement in very high accuracy. Sport is a new possible application area for this system. Terrestrial magnetism sensor is not suitable for sports that player moves about such as soccer, however, it is suitable for sports that require stable forms such as pitching form of baseball, swinging on golf, it is thought. In this paper, we discussed a possibility to apply terrestrial magnetism sensor based monitoring system into ski jumping which seem to be one of sports which require stable forms to athlete. As a result of preliminary evaluation to measure descending speed, and position of taking off, we confirmed high possibility to apply terrestrial magnetism sensor based monitoring system into ski jumping.
Research on Personalized Query Optimization Service in E-learning System
Authors: Xiaojian Li, Shihong Chen
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

According to the traditional search engine's lack of understanding the semantic query intension and providing personalized service in e-Learning systems, this paper presented a personalized query optimization service to satisfy both semantically and personalized searching demands of the user by semantic mining from user's searching information to build the user model which is exploited to perceive the query intension of the user. To testify the effectiveness of the service, some experiments are carried out and the results show that the search service has been improved.
Personal authentication using finger knuckle surface
Authors: Ajay Kumar, Ch. Ravikanth
Venue: IEEE Transactions on Information Forensics and Security (2009)

This paper investigates a new approach for personal authentication using fingerback surface imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy of such a system. The fingerback surface images from each user are normalized to minimize the scale, translation, and rotational variations in the knuckle images. This paper details the development of such an approach using peg-free imaging. The experimental results from the proposed approach are promising and confirm the usefulness of such an approach for personal authentication.
Design and performance analysis of a new class of rate compatible serially concatenated convolutional codes
Authors: Alexandre Graell i Amat, Guido Montorsi, Francesca Vatta
Venue: IEEE Transactions on Communications (2009)

In this paper, a novel class of serially concatenated convolutional codes (SCCCs) is addressed. In contrast to standard SCCCs, where high rates are obtained by puncturing the outer code, the heavy puncturing is moved to the inner code, which can be punctured beyond the unitary rate. We derive analytical upper bounds on the error probability of this code structure by considering an equivalent code construction consisting of the parallel concatenation of two codes, and address suitable design guidelines for code optimization. It is shown that the optimal puncturing of the inner code depends on the outer code, i.e., it is interleaver dependent. This dependence cannot be tracked by the analysis for standard SCCCs, which fails in predicting code performance. Based on the considerations arising from the bounds analysis, we construct a family of rate-compatible SCCCs with a high level of flexibility and a good performance over a wide range of code rates, using simple constituent codes. The error rate performance of the proposed codes is found to be better than that of standard SCCCs, especially for high rates, and comparable to the performance of more complex turbo codes.
Teaching decision-making skills through inexpensive virtual scenarios
Authors: Emily Conradi, Terry Poulton, Jonathan Round
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Effective decision-making is a key skill for competency-based training that is often not reached through traditional teaching methods. Virtual scenarios that imitate real-life can provide a powerful educational tool to develop and rehearse these skills. However, cost and time restraints often make creating such resources impractical. Virtual patients (VPs) are educational games that rehearse clinical decision-making for medical and healthcare training. St George's University of London (SGUL) have created a generic 'model' for the design of virtual patients which is simple to use, yet flexible enough to simulate real decision-making. For each VP an ideal pathway is described, with critical points that control progression through the case. To navigate between the key points, a map of different interconnected possibilities is designed, with a limited number of steps and choices between each stage, that mimic the choices found in real patient encounters. Using this simple model ergonomically designed educational games are being created. Other disciplines requiring competency-based training could also use this method to create virtual scenarios. In the future, SGUL will evaluate the use of VPs as replacements for paper-based cases in Problem-Based Learning tutorials, as online resources for increasing exposure to clinical cases and practicing clinical reasoning, and as assessment tools.
Finding intermediate entity between two examples on the web
Authors: Naoto Asahi, Takehiro Yamamoto, Satoshi Nakamura, Katsumi Tanaka
Venue: Proceeding of the eleventh international workshop on Web information and data management (2009)

We propose a method for finding an intermediate entity between two examples on the Web. For example, a user wants to find events that occurred between the Battle of Red Cliffs and the death of Cao Cao. In this situation, the user wants to find something intermediate between two events, processes, or objects. We first describe the problem of finding an entity between two examples. We then propose a method for extracting an intermediate entity between two inputs using a Web search engine. The method focuses on the positions of words in Web pages and then extracts words that are likely to appear between the two inputs. Finally, we show the usefulness of our method based on experiments.
The use of ICT to support the development of practical music skills through acquiring keyboard skills: a classroom based study
Authors: Liz M. Y. Chan, Ann C. Jones, Eileen Scanlon, Richard Joiner
Venue: Computers Education (2006)

This paper concerns the use of Information and Communications Technology (ICT) in music classrooms, with the focus on the secondary school music curriculum in the United Kingdom. In particular, it reports on a study of learners in a UK school using software designed to support practical music skills. The paper begins by briefly raising and summarising some key issues for the use of ICT in the UK music curriculum arising from current research and practice in music education. In this context the study is described, which was carried out in a British secondary school with 36 pupils in year 8 (aged ~13). This study investigated whether a commercial CD-ROM entitled Teach Me Piano Deluxe, which was designed to teach music practical skills was able to support pupils' acquisition of music keyboard skills. The results showed that there was a significant improvement in reading music (staff) notation and rhythm skills. The study suggests that this is one of the ways in which ICT may be useful for learning practical music skills in the music classrooms. Such potential improvement in practical skills may, in turn, enable pupils to approach music-based activities such as: composing, performing or listening in the classrooms, with greater confidence, a deeper level of understanding, and appreciation.
Proceeding of the 1st ACM international workshop on Complex networks meet information & knowledge management
Venue: Conference on Information and Knowledge Management (2009)

It is our great pleasure to welcome you to the 1st ACM International Workshop on Complex Networks in Information & Knowledge Management -- CNIKM'09. We are in a connected age: real-world entities often interconnect with each other through explicit or implicit relationships to form a complex network, such as technological networks, social networks, and information networks. They exhibit interesting statistical characteristics like "small-world" and "scale-free." The past decade has witnessed an explosive growth of research on various complex networks. How can we analyze, manage and mine information in large-scale complex networks effectively and efficiently? This gives researchers in database, information retrieval and knowledge management great challenges as well as opportunities. In line with CIKM's tradition of promoting interdisciplinary research, this workshop aims to bring together researchers across both computer science and the emerging network science to foster discussion and exchange ideas. Although these two scientific disciplines speak quite different languages, they certainly can benefit a lot from each other by sharing their concepts, models, techniques, and tools, etc. The call for papers attracted 19 submissions from 12 countries (Australia, Brazil, Canada, China, Germany, India, Korea, Netherlands, Singapore, Sweden, Switzerland and United Kingdom). The program committee accepted 9 full papers and 3 short papers that cover a variety of topics, including community detection, information spread, centrality analysis, link prediction, peer-to-peer networks and recommender systems. In addition, the program includes a keynote speech by Prof. Jure Leskovec of Stanford University on the clustering structure of very large networks. We hope that these proceedings will serve as a valuable reference for researchers and practitioners in this area.
Throughput and delay analysis of 802.11-based wireless networks using smart and directional antennas
Authors: F. Babich, M. Comisso
Venue: IEEE Transactions on Communications (2009)

This paper proposes a mathematical framework for comparing the performance of wireless networks based on the IEEE 802.11 standard, employing switched-beam, directional and adaptive antennas. The analysis adopts detailed models for the antenna system behavior and the propagation environment, taking into account multipath and interference. The purpose of this study is to determine the number of simultaneous communications that may be sustained by adopting advanced antenna systems, and to investigate, by analysis and simulation, the resulting performance improvements, in terms of throughput and packet delay. Both saturated and non-saturated traffic conditions are treated. Suitable 802.11 Medium Access Control (MAC) layer parameter settings, able to exploit smart and directional antenna capabilities for maximizing the throughput, are also discussed.
A Secure and Practical Buyer-Seller Watermarking Protocol
Authors: Defa Hu, Qiaoliang Li
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

A buyer-seller watermarking protocol can enable a seller to successfully identify a traitor from a pirated copy, while preventing the seller from framing an innocent buyer. To this end, many buyer-seller watermarking protocols have been proposed. In the existing watermarking protocols, one or more of the major common problems which are customer's rights, unbinding problem, buyer's anonymity problem and buyer's participation in the dispute resolution have been solved. But most of them are infeasible and not suitable for web context. First, most of the protocols assume that the buyer has the knowledge of cryptography and watermark. However, the buyer often has no knowledge of cryptography and watermark. Second, a buyer needs to interact with different parties many times in these protocols, and then it is very inconvenient for buyer. To overcome these drawbacks, a new buyer-seller watermarking protocol is proposed.
Location-Aware Fall Detection System for Medical Care Quality Improvement
Authors: Chih-Ning Huang, Chih-Yen Chiang, Jui-Sheng Chang, Yi-Chieh Chou, Ya-Xuan Hong, Steen J. Hsu, Woei-Chyn Chu, Chia-Tai Chan
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Abstract—Falls are one of the most common adverse events in hospitals and fall management remains a major challenge in the medical care quality. Falls in patients are associated with major health complications that can result in health decline and increased medical care cost. To deliver medical care in time, reliable location-aware fall detection is needed. In this paper, we propose a patient alert alarm for fall management. It is ZigBee-Based location awareness fall detection system that provides immediate position information to the caregivers as soon as the fall happened. Obviously, the integration of location awareness and fall detection technologies fulfills the requirements of delivering critical information to relative professions and improve the medical care quality.
Design of mini BLDC motor controller based on PSIM simulation
Authors: Yu Tao, Sung-Jun Park, Kwen-Sung Jung, Chae-Joo Moon
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

If used to drive the minicar, the BLDC Motor has advantages of weightless, efficient, small-size and credibleness. In this paper at first the position detecting method for BLDC was introduced, secondly the simulation of control algorithm was done and at last the prototype controller based one chip processor MEGA48 was fabricated. The controller proposed has characteristic of cheap cost, reliable performance and totally meeting demands of minicar control. Through the Psim simulation and real test we proposed a novel multilevel commutating signals generating method.
Isolated versus integrated case studies: A comparison in the context of teaching complex and domain-specific IT applications
Authors: Ned Kock, Robert Aiken, Cheryl Sandas
Venue: Computers Education (2006)

Previous research on IT fluency in connection with non-IT majors points at the increasing need for more ''realistic'' courses teaching the use of complex and domain-specific IT applications. That research also suggests certain desirable course design characteristics, of which one of the most important is the close integration of realistic case study-based material into one single course (as opposed to the less costly alternative of inserting single case study-based material into other courses). This paper describes a study in which the use of case study-based learning modules in an integrated way (i.e., as part of one main course) is compared against the use of those modules in isolation (i.e., inserted into other courses). The modules have been designed to teach complex and domain-specific IT applications in three main domains - anthropology, sociology, and chemistry. The study, which involved 76 undergraduate students, suggests that the integration of modules into one single course, when compared with the option of using the modules in isolation, significantly increased the level of perceptions of IT's potential for solving complex problems, perceived learning about specialized IT applications, and perceived learning about IT issues in general. The key conclusion of the study is that integration may be a desirable option regardless of the potential extra costs involved.
The Load Optimized Distribution among Units Based on NGA
Authors: Zheng Min, Hongbo Luo, Tinghong Zhao, Xiangyu Shao
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

In the course of realizing the economical operation of the power station, it is a very key course that the optimized distribution of units' load. So it is need a kind of very good computing method to solve this problem. This paper introduce the niche genetic algorithm to solve the optimized distribution of units' load, and while realize the concrete heredity operates, carrying on the certain improvement to choosing, crossing, making a variation etc., thus not only well safeguarded the variety of solving, and raise the speed to sought the excellent speed, improved the precision of solving.
UMFP: Update Mining Frequency Paths in RFID System
Authors: Zhuxi Chen, Kongfa Hu, Yan Sun, Ling Chen
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Radio Frequency Identification (RFID) technology is fast becoming an important tool for tracking commodities in supply chain management applications. The movement of commodities through the supply chain forms a gigantic workflow which can be mined for the discovery of moving trends that in turn will be valuable in understanding and optimizing business processes. There are some methods dealing with mining frequency paths in static RFID database. But like data stream, RFID system also collects tracking data for moving objects continually. The current mining methods are not created for mining frequency paths in incremental RFID database. In this paper, we propose a method called UMFP to mine frequency paths in incremental RFID database. The method uses existing frequency path mining algorithms to mine frequency paths in each update batch, then merges the results together and returns the frequency paths to users. In our method, the whole RFID data will be mined only once when update batch generated, it will combine the existing data mining results and the last update batch data mining results. The UMFP uses path tree to store mining results. The mining threshold we used in our method is smaller than minimum support threshold which defined by users. By this strategy, UMFP will mine all the potentially frequency paths, ensure that all truly frequency paths will be output when the users request. At last, experiments will show the performances about UMFP.
Asymptotic behavior of the ZZW embedding construction
Authors: Jessica Fridrich
Venue: IEEE Transactions on Information Forensics and Security (2009)

We analyze the asymptotic behavior of the embedding construction for steganography proposed by Zhang, Zhang, and Wang (ZZW) at the 10th information hiding by deriving a closed-form expression for the limit between embedding efficiency of the ZZW construction and the theoretical upper bound as a function of relative payload. This result confirms the experimental observation made in the original publication.
On reliability and security of randomized detectors against sensitivity analysis attacks
Authors: Maha El Choubassi, Pierre Moulin
Venue: IEEE Transactions on Information Forensics and Security (2009)

Despite their popularity, spread spectrum schemes are vulnerable against sensitivity analysis attacks on standard deterministic watermark detectors. A possible defense is to use a randomized watermark detector. While randomization sacrifices some detection performance, it might be expected to improve detector security to some extent. This paper presents a framework to design randomized detectors with exponentially large randomization space and controllable loss in detection reliability. We also devise a general procedure to attack such detectors by reducing them into equivalent deterministic detectors. We conclude that, contrary to prior belief, randomization of the detector is not the ultimate answer for providing security against sensitivity analysis attacks in spread spectrum systems. Instead, the randomized detector inherits the weaknesses of the equivalent deterministic detector.
PathMiner: a web-based tool for computer-assisted diagnostics in pathology
Authors: Lin Yang, Oncel Tuzel, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell, David J. Foran
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Large-scale, multisite collaboration has become indispensable for a wide range of research and clinical activities that rely on the capacity of individuals to dynamically acquire, share, and assess images and correlated data. In this paper, we report the development of a Web-based system, PathMiner, for interactive telemedicine, intelligent archiving, and automated decision support in pathology. The PathMiner system supports network-based submission of queries and can automatically locate and retrieve digitized pathology specimens along with correlated molecular studies of cases from "ground-truth" databases that exhibit spectral and spatial profiles consistent with a given query image. The statistically most probable diagnosis is provided to the individual who is seeking decision support. To test the system under real-case scenarios, a pipeline infrastructure was developed and a network-based test laboratory was established at strategic sites at the University of Medicine and Dentistry of New Jersey--Robert Wood Johnson Medical School, Robert Wood Johnson University Hospital, theUniversity ofPennsylvania School of Medicine, Hospital of the University of Pennsylvania, The Cancer Institute of New Jersey, and Rutgers University. The average five-class classification accuracy of the system was 93.18% based on a tenfold cross validation on a close dataset containing 3691 imaged specimens. We also conducted prospective performance studies with the Path-Miner system in real applications in which the specimens exhibited large variations in staining characters compared with the training data. The average five-class classification accuracy in this open-set experiment was 87.22%. We also provide the comparative results with the previous literature and the PathMiner system shows superior performance.