ppxscal/embedding_network huggingface dataset:
A DV-Hop Positioning Algorithm for Wireless Sensor Network Based on Detection Probability
Authors: Ying Liu, Zhi-hong Qian, Dan Liu, Hui Zhong
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

The localization technology is very important in wireless sensor network. Many localization algorithms have been proposed in recent year, in which DV-Hop is the prevail localization algorithm. But the DV-Hop algorithm is not very accurate. In this paper, we propose an algorithm to improve the positioning accuracy. The proposed algorithm mainly bases on the radio range of anchor nodes to determine the node location. We use the detection probability method analysis of location error. This method need no additional hardware support and can be implemented simple. The simulations results demonstrate that the proposed algorithm accuracy is better than the DV-Hop.
Using short message service to encourage interactivity in the classroom
Authors: C. Markett, I. Arnedillo Sánchez, S. Weber, B. Tangney
Venue: Computers Education (2006)

Interactivity in the classroom is reported to promote a more active learning environment, facilitate the building of learning communities, provide greater feedback for lecturers, and help student motivation. Various definitions of interactivity exist in the literature, alternately focusing on the participants, structure and technology. The PLS TXT UR Thoughts research project builds on existing definitions to define interactivity as a message loop originating from and concluding with the student. The authors chose to introduce mobile phones and short message service (SMS) within the classroom due to the ubiquity of mobile phones among students and the interactive potential of SMS. SMS is a low-threshold application used widely by students to quickly send concise, text-based messages at any time. The research presented involved students sending SMS in real-time, in class, via their personal mobile phones. Using a modem interfacing with customised software to produce SMS files, the lecturer can view the messages and verbally develop the interactive loop with students during class. The SMS are available online after class, allowing interactive loops to further develop via threaded comments.
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Authors: Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Background: Finding relevant articles from PubMed is challenging because it is hard to express the user's specific intention in the given query interface, and a keyword query typically retrieves a large number of results. Researchers have applied machine learning techniques to find relevant articles by ranking the articles according to the learned relevance function. However, the process of learning and ranking is usually done offline without integrated with the keyword queries, and the users have to provide a large amount of training documents to get a reasonable learning accuracy. This paper proposes a novel multi-level relevance feedback system for PubMed, called RefMed, which supports both ad-hoc keyword queries and a multi-level relevance feedback in real time on PubMed. Results: RefMed supports a multi-level relevance feedback by using the RankSVM as the learning method, and thus it achieves higher accuracy with less feedback. RefMed ``tightly`` integrates the RankSVM into RDBMS to support both keyword queries and the multi-level relevance feedback in real time; the tight coupling of the RankSVM and DBMS substantially improves the processing time. An efficient parameter selection method for the RankSVM is also proposed, which tunes the RankSVM parameter without performing validation. Thereby, RefMed achieves a high learning accuracy in real time without performing a validation process. RefMed is accessible at {\sf http://dm.postech.ac.kr/refmed}. Conclusions: RefMed is the first multi-level relevance feedback system for PubMed, which achieves a high accuracy with less feedback. It effectively learns an accurate relevance function from the user's feedback and efficiently processes the function to return relevant articles in real time.
Error Protection of 3D Wavelet Video Streaming Using Wyner-Ziv Video Coding for Lossy Network Transmission
Authors: Ke Xu, Sheng Fang, Zhe Li
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In this paper we propose a novel method that is motivated by distributed source coding to correct the errors of significant sections in 3D wavelet video streaming. Extra information is generated by Wyner-Ziv codec and is sent to the decoder. While errors occur, the relevant parts in the same frames from EZBC decoder are used as side information to decode the Wyner-Ziv bits to produce a refined replacement of the corrupted ones. Finally the rest parts of these frames are combined with refined parts from the Wyner-Ziv description to yield a correct sequence. We present the simulation results to demonstrate that our scheme can achieve significant gains in error-resilient performance compared with Forward Error Correction scheme.
Design of time-limited pulses
Authors: Seung Joon Lee
Venue: IEEE Communications Letters (2009)

An approach for designing time-limited transmit pulses is proposed. In the approach, a time-limited pulse is represented by a weighted sum of cosine functions whose frequencies are integer multiples of one over the time duration of the transmit pulse. The weighting coefficients are derived to minimize the mean square error of received symbols for a given symbol timing offset, while restricting the out-of-band energy to a predefined level. The minimization is numerically performed by using the Zoutendijk's feasible direction method. Performance comparison results are presented showing that the pulses derived by this approach not only have smaller mean square errors, but also smaller symbol error probabilities for BPSK signaling compared to the time-truncated versions of conventional square-root Nyquist pulses.
Analog PLL design with ring oscillators at low-gigahertz frequencies in nanometer CMOS: challenges and solutions
Authors: Kadaba R. Lakshmikumar
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief discusses the challenges and present techniques in designing analog phase-locked loops in nanometer CMOS. The primary challenges are the low supply voltage of 1 V or less, large gate leakage, and the high degree of process and temperature variability. The importance of tightening the free-running frequency of the oscillator in light of these challenges is highlighted first. Process and temperature compensation techniques for miinimizing the variation of the free-running frequency of an oscillator are discussed. A rail-to-rail charge-pump with matched up/down currents and a capacitance multiplication technique for reducing the loop filter area are also discussed.
Accurate approximations to the sum of generalized random variables and applications in the performance analysis of diversity systems
Authors: Daniel B. Da Costa, Michel D. Yacoub
Venue: IEEE Transactions on Communications (2009)

Accurate closed-form approximations to the sum of independent identically distributed η-µ and κ-µ random variables are provided. The proposed approximations turn out to be simple, precise, and useful for obtaining important performance metrics of communications systems where sums of variates arise. In particular, average bit error rate and level crossing rate of multibranch equal-gain combining receivers are attained to illustrate the applicability of the approximations. Some sample examples show that the intricate exact solution and the simple approximate expressions yield results that are almost indistinguishable from each other.
On the computational power of BlenX
Authors: Alessandro Romanel, Corrado Priami
Venue: Theoretical Computer Science (2010)

We present some decidability and undecidability results for subsets of the BlenX Language, a process-calculi-based programming language developed for modelling biological processes. We show that for a core subset of the language (which considers only communication primitives) termination is decidable. Moreover, we prove that by adding either global priorities or events to this core language, we obtain Turing equivalent languages. The proof is through encodings of Random Access Machines (RAMs), a well-known Turing equivalent formalism, into our subsets of BlenX. All the encodings are shown to be correct.
Spectral efficiency and optimal medium access control of random access systems over large random spreading CDMA
Authors: Yi Sun
Venue: IEEE Transactions on Communications (2009)

This paper analyzes the spectral efficiency as a function of medium access control (MAC) for large random spreading CDMA random access systems that employ a linear receiver. It is shown that located at higher than the physical layer, MAC along with spreading and power allocation can effectively perform spectral efficiency maximization and near-far mitigation.
A New Intrusion Prediction Method Based on Feature Extraction
Authors: Liao Cheng-Bin
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

In order to find the attack in real time, an intrusion prediction method based on feature extraction algorithm was presented. Using CHI approach, the fields of network packet, which were irrelevant with attack type, were deleted, and the representative fields were selected to form feature database. Moreover, optimization extraction function was obtained by normalization method, and then network packets were effectively classified into normal or anomalous by the classifier. Experiment analysis proves that this intrusion prediction method have relatively low false positive rate and false negative rate, thus it effectively resolves the shortage of intrusion detection.
Design and Application of Remote Fault Maintenance Solution Based on IRL and Checkpointing
Authors: Fengjing Shao, Changheng Shao, Rencheng Sun
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Network Computer (NC) has certain computing and storage capacity. The issues of high maintenance costs, complex fault maintenance and security vulnerabilities impede further promotion. It is especially true in environment that is short of computer maintenance knowledge. In this paper, according to faults characteristics of NC, these faults are divided into logic fault and exception fault; logic fault and exception fault are maintained by remote reconfiguration and context recovery respectively. So a remote fault maintenance solution (RFMS) is proposed based on Internet Reconfigurable Logic (IRL) and Checkpointing mechanism. An application is implemented based on the solution. Experiments show that the solution not only makes use of network to inspect NC in separated area, but also utilizes diagnosis resource providing by separated expert knowledge to realize remote fault diagnosis and maintenance.
A recursive algorithm for the reliability of a circular connected-(r, s)-out-of-(m, n): F lattice system
Authors: Hisashi Yamamoto, Tomoaki Akiba
Venue: Computers and Industrial Engineering (2005)

A circular connected-(r, s)-out-of-(m, n):F lattice system consists of mxn components arranged in a cylindrical grid. Each of m circles has n components, and this system fails if and only if there exists a grid of size r xs which all components are failed. A circular connected-(r, s)-out-of-(m, n):F lattice system might be used in reliability models for 'Feelers for measuring temperature on reaction chamber' and 'TFT Liquid Crystal Display system with 360^o wide area'. In this study, we proposed a new recursive algorithm for obtaining the reliability of a circular connected-(r, s)-out-of-(m, n):F lattice system. We evaluated our proposed algorithms in terms of computing time and memory capacity. Furthermore, a numerical experiment comparing our proposed algorithm with Yamamoto and Miyakawa's algorithm [Yamamoto, H., & Miyakawa, M. (1996). Reliability of circular connected-(r, s)-out-of-(m, n):F lattice system. Journal of the Operations Research Society of Japan, 39(3), 389-406] showed that our proposed algorithm is more effective for systems with a large n.
Periodic input response of a second-order digital filter with two's complement arithmetic
Authors: Xiangjun Li, Xinghuo Yu, Changhong Wang, Bingo Wing-Kuen Ling
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

The dynamic behaviors of a nonlinear second-order digital filter with two's complement arithmetic under periodic inputs are explored. The conditions for avoiding overflow are derived. Various dynamic periodic responses are analyzed, accompanied by numerous simulation examples.
Optimizing Model of Blasting Parameters Based on Fuzzy Neural Network
Authors: Haiwang Ye, Yang Wang, Jian Chang, Fang Liu, Peng Yao
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Because of the complexity and polytropism of rock and the complexity of blasting proceeding, it is very difficult to obtain better blasting parameters with a certain way. In order to gain perfect blasting effects expected by designers, blasting engineers have been studying the optimizing of blasting parameters all the time. The intelligent optimizing model of blasting parameters based on fuzzy neural network is set up in this paper. The input parameters of the model are rock properties and blasting requirements, and the outputs are the properties of explosive, blasting parameters, initiation means and charging structure. When a new set of parameters are input into the model trained by some successful examples, a good output will be gotten very easily. At last, the optimizing model is applied to a cement mine. From the application, a conclusion can be drawn that it is feasible and reliable to carry out blasting design with the optimizing model based on fuzzy neural network. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Solving Credit Scoring Problem with Ensemble Learning: A Case Study
Authors: Hongrui Xie, Shuli Han, Xinyi Shu, Xinzhu Yang, Xiuyun Qu, Shiqiang Zheng
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

Managing customer credit is an important issue in the banking industry and should always be done in an automatic way, with credit scoring trusted. This paper presents our solution to PAKDD 2009 data mining competition as a case study of the credit scoring problem. Following a brief description of the data mining task, several challenges confronted in the task such as imbalanced dataset, missing values and data transformation are discussed. After series of preliminary experiments, logistic regression and AdaBoost were shown as the resulting classifiers on this particular problem. Furthermore, an ensemble of the two classifiers was created in order to achieve even better performance. The final result shows that our solution is effective and efficient with an AUC value of 0.6535, which was the fifth best result among more than 100 competitive teams.
Power Control Strategy Relate to Congestion Control in Wireless Sensor Networks
Authors: Yong-min Liu, Xiao-Hong Nian
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

The purpose of WSN congestion control is to improve the network throughput, reduce the time of data transmitted delay. Power control technology is to alleviate network congestion by reducing the various nodes transmitting power, thus extending the life cycle of networks. A careful analysis of the implementation of the congestion control algorithm involves technical difficulties and deficiencies were made, and power control strategy was made to comparative study in this paper. Finally, the future research directions of congestion control of wireless sensor network that the research field is in the initial developing stage were pointed out.
The complementary roles of IMS LD and IMS QTI in supporting effective web-based formative assessment
Authors: Yongwu Miao, Hubert Vogten, Harrie Martens, Rob Koper
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Effective formative assessment can be characterized by integrating assessment and instruction, engaging both teachers and students, using various assessment methods, and providing constructive and personalized feedback. In this paper, we propose a standard-based and service-oriented approach to support web-based formative assessment. We present how to develop online formative assessment by using an integrated IMS Learning Design (LD) and IMS Question and Test Interoperability (QTI) authoring tool. Moreover, we present how a formative assessment can be executed in an integrated LD and QTI run-time environment. In comparison with software development approaches, our approach can facilitate the development and execution of web-based formative assessment with characteristics leading to effectiveness.
Formalization and Verification of Automatic Composition Based on Pi-Calculus for Semantic Web Service
Authors: Yong-Lian Wang, Xue-Li Yu
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

In this paper, a method of automatic composition based on Pi-Calculus for semantic web service has been presented to improve the automation composition of semantic web service. First, the formal model of the semantic web service composition based on Pi-Calculus is represented, and eight kinds of basic web service composition patterns in ServiceModel of OWL-S are provided. These patterns can be utilized to construct web service on demand. Then the matching between existing web services and sub-services are verified by the formalization and verification of Pi-Calculus, and the web service composition is realized finally.
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Authors: Ali Zeeshan Ijaz, Min Song, Doheon Lee
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier works, however, required substantial manual intervention to reduce the number of possible connections and are mainly applied to disease-effect relation. With the advancement in biomedical science, it has become imperative to extract and combine information from multiple disjoint researches, studies and articles to infer new hypothesesand expand knowledge. In this paper, we propose MKEM, a Multi-level Knowledge Emergence Model, to discover implicit relationships using Natural Language Processing techniques such as Link Grammar and Ontologies such as Unified Medical Language System (UMLS) MetaMap. The contribution of MKEM is as follows: First, we propose a flexible knowledge emergence model to extract implicit relationships across different levels such as molecular level for gene and protein and Phenomic level for disease and treatment. Second, we employ MetaMap for tagging biological concepts. Third, we provide an empirical and systematic approach to discover novel relationships. Our experiments show that MKEM is a powerful tool to discover hidden relationships residing in extracted entities that were represented by our Substance-Effect-Process-Disease-Body Part (SEPDB) model.
Developing a collaborative model of research using digital video
Authors: Victoria Armstrong, Sarah Curran
Venue: Computers Education (2006)

Digital video can play an important role in reconfiguring educational research methodology that challenges the perceived distinction between teachers and academics - the former normally positioned as 'users' of research that has been designed, interpreted and theorised by the latter, usually the 'producers' or academics [Triggs, P., & John, P. (2004). From transaction to transformation: ICT, professional development and the formation of communities of practice Journal of Computer Assisted Learning Special Issue 20(6) 426-439]. In this paper, we report on a collaborative project between university researchers and four teachers within the Primary and Secondary Sectors that has sought to develop new ways of asking questions about the classroom experience through the use of digital video. By each contributing their expertise and experience, teacher practitioners and researchers work in partnership to interpret and jointly construct new knowledge, understanding and classroom practice. The first part of this paper reports on the methodology, examining the role of digital video in facilitating research collaborations, while the second part provides an account of one of the participating teacher's experiences of the process.
A fast-settling wideband-IF ASK baseband circuit for a wireless endoscope capsule
Authors: Baoyong Chi, Jinke Yao, Patrick Chiang, Zhihua Wang
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

A novel automatic-gain-control (AGC) architecture utilizing wideband current feedback is proposed for the baseband circuit of a wireless endoscope capsule. The baseband circuit consists of a fast-settling wideband AGC loop and an amplitude-shift-keying demodulator. Additional integrators in the reverse signal path provide negative feedback, bandpass-filtering effect, attenuating low-frequency noises, and dc offset from the radio-frequency front end. The baseband circuit fabricated in a 180-nm complementary metal-oxide-semiconductor process achieves a wide-intermediate-frequency (IF) carrier frequency in the range of 0.5-40 MHz, a measured settling time of 2 µs, and an input sensitivity of -57 dBm. The entire baseband demodulator dissipates only 5 mA, with a 1.8-V supply at a data rate of 1.37 Mb/s and an IF carrier frequency of 10 MHz.
Fault Tolerance and Security in Forwarding Packets Using Game Theory
Authors: Jing Chen, Ruiying Du
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In self-organized wireless network, such as ad hoc network, sensor network or mesh network, nodes are independent individuals which have different benefit; Therefore, selfish nodes refuse to forward packets for other nodes in order to save energy which causes the network fault. At the same time, some nodes may be malicious, whose aim is to damage the network. In this paper, we analyze the cooperation stimulation and security in self-organized wireless networks under a game theoretic framework. We first analyze a four node wireless network in which nodes share the channel by relaying for others during its idle periods in order to help the other nodes, each node has to use a part of its available channel capacity. And then, the fault tolerance and security problem is modeled as a non-cooperative game in which each player maximizes its own utility function. The goal of the game is to maximize the utility function in the giving condition in order to get better network efficiency. At last, for characterizing the efficiency of Nash equilibria, we analyze the so called price of anarchy, as the ratio between the objective function at the worst Nash equilibrium and the optimal objective function. Our results show that the players can get the biggest payoff if they obey cooperation strategy.