ppxscal/embedding_network huggingface dataset:
A Temperature Controlled System for Car Air Condition Based on Neuro-fuzzy
Authors: Bingqiang He, Rongguang Liang, Jianghong Wu, Xihui Wang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Neural networks are good at recognizing patterns, but they are not good at explaining how they reach their decisions, while Fuzzy logic systems, which can reason with imprecise information, are good at explaining their decisions but they cannot automatically acquire the rules they use to make those decisions. These limitations have been a central driving force behind the creation of intelligent hybrid systems where two or more techniques are combined in a manner that overcomes individual techniques. Based on these theory, we propose an automated neuro-fuzzy system approach for controlling car air condition temperature. Simulation shows that Its control performance and stability was found to be improved significantly and even superior to the optimized PID controller and optimized conventional fuzzy controller. The system temperature w Keywords-;
Enterprise Risk Assessment of Investment Risk
Authors: Feng Kong, Yuanyuan Fu
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

The venture capital has played the significant role to the modern economy prosperity, its investment characteristic has decided the high profit and high risk coexisting. Because the venture enterprise is mostly the high new technique business enterprise that the beginning creates, its technology, management, market, and product are all not very mature, is containing the very high uncertainty, in the venture capital entire process has the massive uncertainty. The Set Pair Analysis theory and its connection mathematics method have provided one kind of brand-new mentality for the processing venture capital in uncertainty. Based on the Set Pair Analysis theory, this article has established in one kind of venture capital the investment risk quality synthetic evaluation relation mathematical model, and has carried on the example analysis.
Domain Name Valuation Model Constructing and Emperical Evidence
Authors: Zu-guang Wu, Hai-yi He
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Domain name is a new type intangible of enterprise. For the reason that we don't recognize and measure the domain self-constructed in financial accounting system, there are little study on domain's value estimation and the factors influencing its value. For the absence of value measurement, domain name's valuation management is weak in firm. With the growth of domain trade-off, How to value it become crisis important. We find that traditional estimation methods, such as discount cash flow method etc, ignore some crucial non-financial factors that influence the domain value for instance creativity. we use the semantic theory and content analysis to analyze the value-influence factors which include Domain structure and Meaning and Impression and Creativity etc. Based on the analysis we establish a model which integrate the financial and non-financial factors to value the domain name using fuzzy method. Finally we use the experience data of domain trading to test the factors of influencing the domain value. We find that domain's value actually correlates to the semantic characters. The first contribution of the paper is that it is based on semantic theory and content analysis. The second contribution is we use Econometrics method to investigate the domain's value and find empirical evidence.
Research on Optimal Configuration of Digital Down-Conversion
Authors: Jie Zhang, Shian Hu, Ziye Long, Aixian Dong, Yongli Chen
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Through the theory of Digital Down-Conversion, the paper brings forward the proposal that using multi-stage filtering and decimation to reduce the amount of computation and memory space, and targeted solved the technical question of spectrum aliasing. Combination of an engineering practice designed by Intermediate Frequency Digital Demodulator, the paper suggests an optimal configuration principle and method to the programmable Digital Down-Converter HSP50214B, making the demodulator achieves a very good receiving and demodulation effect. 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
Coded Fingerprinting Codes Based on Delay Embedding
Authors: Hongyuan Li, Guangjie Liu, Junwen Wang, Yuewei Dai, Zhiquan Wang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

Digital fingerprint is an important application of watermarking technique which is used to trace the traitors who redistribute multimedia content illegally. To support more users the delay-based orthogonal fingerprint embedding was proposed which is robust against collusion attack while the performance of delay-based coded fingerprinting is not investigated. In this paper, the coded fingerprinting such as N-secure fingerprint code based on delay embedding is constructed. Then the fingerprint code is embedded using the spread spectrum watermarking techniques. In the traitor tracing process, the correction detection is used to detect the hiding codes and the delays. At last the colluders can be traced by the hiding codes and the delays. Based on the N-secure fingerprint code, the theoretical analysis and the experiments show the scheme can increase the supported users form N to N*N and is robust against more colluders' attack. 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
Security flaw of authentication scheme with anonymity for wireless communications
Authors: Ji-Seon Lee, Jik Hyun Chang, Dong Hoon Lee
Venue: IEEE Communications Letters (2009)

Recently, Wu et al. discussed some security flaws of enhanced authentication scheme with anonymity for wireless environments proposed by Lee et al. and showed how to overcome the problems regarding anonymity and backward secrecy. However, in the paper, we will show that Wu et al.'s improved scheme still did not provide user anonymity as they claimed.
Support Vector Regression Model of Currency Options Pricing with Stochastic Volatility Models and Forward Exchange Rate
Authors: Ping Wang, YunCheng Huang, YuanSu Wang
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Support Vector Regression (SVR) is a new general learning method, proposed in the statistical Learning Theory. In this paper, we construct a new nonparametric currency options pricing model with SVR approach. We integrate stochastic volatility models (SV) into SVR to upgrade the forecasting ability of the price of currency options. And we use the forward exchange rate as the input variable of SVR, as the forward exchange rate takes the interest rates of the pair of currencies into account. The inputs of SVR will include the moneyness (Spot rate/strike price), forward exchange rate, the volatility of the spot rate, domestic risk free simple interest rate, and the time to maturity. Analytical results reveals that new model provides greater predictability than traditional approaches such as GK model and artificial neural network option pricing model on the same data sets.
Quality function deployment (QFD) based on rough sets model
Authors: Li Liang, Guo Qi-sheng, Dong Zhi-ming
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

The traditional QFD (Quality Function Deployment) has the deficiency of high subjectivity and low reliability. To deal with the problem, a new method based on Rough Sets Model was presented. It is objective to use the Rough sets theory to ascertain the attribute weight. Taking it into consideration, it is applied in QFD to evaluate the weight. Through the analysis of positive region, degree of dependency and sensitivity, the objective value and composite value of the weight of customer demand and relational matrix was given. The weight and rank of engineering measures was given. Combined with an example, the method was demonstrated. A favorable goal is achieved.
Collision analysis for coexistence of multiple Bluetooth piconets and WLAN with dual channel transmission
Authors: Jingli Li, Xiangqian Liu, Ananthram Swami
Venue: IEEE Transactions on Communications (2009)

Co-channel interference (CCI) has become an important problem with the increasing deployment of wireless networks in the unlicensed frequency band. The existing Bluetooth scheme avoids collisions by modifying its hop sequences in the presence of WLAN. We propose a frequency diversity technique, namely dual channel transmission (DCT), which reduces packet error rate (PER) due to CCI when multiple Bluetooth piconets coexist with or without WLAN interference. The idea of DCT is to transmit the same packet on two distinct frequency hopped channels simultaneously and the power used in each channel is half of what would be used in single channel transmission (SCT). Since a packet is successfully received if at least one channel survives, the PER is reduced even when multiple piconets coexist. Further, the two channels of DCT are separated by at least 22 MHz to ensure robustness to WLAN interference. Theoretic analysis and numerical simulations on key metrics - PER, throughput, and transmission time are presented to validate the proposed approach and quantify its advantages. Comparisons to other coexistence mechanisms also demonstrate the effectiveness of DCT.
A SPIT Detection Method Using Voice Activity Analysis
Authors: Hai Huang, Hong-Tao Yu, Xiao-Lei Feng
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Spam over IP telephony (SPIT) is becoming a large problem with the rise of VoIP. A new SPIT detection method using voice activity analysis is proposed in this paper. The calling and called voice saturation ratio and the called conflict ratio is used as the parameters of the call-behavioral characteristics after an analysis of the difference in call behavior between spam voices and the normal calls. And the parameters of the call-behavioral characteristics are obtained by analyzing voice activity status of the calling and called. Finally, by using support vector machine a spam classifier is designed and the experiment result shows the method can effectively recognize spam call.
An Energy-Efficient Fault-Tolerant Scheduling Scheme for Aperiodic Tasks in Embedded Real-Time Systems
Authors: Guohui Li, Fangxiao Hu, Ling Yuan
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

This paper investigates how to combine fault tolerance with power management in embedded real-time systems at the same time. Fault tolerance is achieved by check pointing, and power management is carried out via dynamic voltage and frequency scaling (DVFS). Also, we take tasks' average switched capacitances into consideration. We present a fault-tolerant schedulability analysis for a periodic tasks and derive the optimal number of checkpoints. The optimal number of checkpoints can help the task to guarantee the timing constraints and minimize the worst case execution time in the presence of faults. We then propose a scheduling scheme which carries out DVFS on the basis of the schedulability analysis for the problem of static task scheduling and voltage allocation. The problem is addressed and formulated as a linear programming (LP) problem. The simulation results show that an increase of the number of variable voltages can reduce energy consumption. Also, selecting suitable voltages for tasks can lead to drastic energy reduction even if the number of variable voltages is very small.
IT Productivity = ??
Authors: Linda Willbanks
Venue: IT Professional (2009)

The column addresses, first seriously and then tongue in cheek, the difficult problem of determining how to define and utilize productivity as it relates to IT work and the IT workforce.
Grid-search-based hybrid TOA/AOA location techniques for NLOS environments
Authors: Yaqin Xie, Yan Wang, Pengcheng Zhu, Xiaohu You
Venue: IEEE Communications Letters (2009)

For geometrically based single bounce circular model (GBSBCM), a new grid-search based technique is proposed to solve the constraint, nonlinear, under-determined equations for wireless location in non-line-of-sight (NLOS) environments. Under the assumption of relatively small measurement errors of angle of arrival (AOA) and time of arrival (TOA), more accurate location results than those of existing methods can be achieved by searching in the feasible area.
Locally contextualized smoothing of language models for sentiment sentence retrieval
Authors: Takayoshi Okamoto, Tetsuya Honda, Koji Eguchi
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

Recently, a number of documents are published on the web. One of the crucial techniques to access to such information is sentiment sentence retrieval. It is very useful to retrieve positive or negative opinions to a specific topic at sentence level. Considering the property that sentiment polarities are often locally consistent in a document, we focus on using local context information for retrieving sentiment-bearing sentences. For this objective, we propose a new smoothing method, extending Dirichlet prior smoothing, to improve effectiveness of the retrieval. We demonstrate through experiments that our proposed smoothing method achieves statistically significant improvements in sentiment sentence retrieval, compared with a conventional smoothing method without local context.
Utilizing process variations for reference generation in a flash ADC
Authors: Timmy Sundström, Atila Alvandpour
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief presents an experimental study on how to take advantage of the increasing process variations in nanoscale CMOS technologies to achieve small and low-power high-speed analog-to-digital converters (ADCs). Particularly, the need for a reference voltage generation network has been eliminated in a 4-bit Flash ADC in 90-nm CMOS, with small-sized comparators. The native comparator offsets, resulting from the process-variation-induced mismatch, are used as the only source of reference levels, and redundancy is used to acquire the desired resolution. The measured performance of the 1.5-GS/s ADC is comparable to traditional state-of-the art ADCs and dissipates 23 mW.
Back to basic: generating test cases from source codes
Authors: Rosziati Ibrahim, Tiu Kian Yong
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

Through the years, the complexity and the size of a system are growing. Thus, to perform a testing with manual creation of test cases is very time consuming. This is because developer or tester will need to manually look into the source codes, line by line, to define the test cases. Moreover, manual creation of test cases does not increase reliability of testing the source codes. For example, tester may perhaps miss or fail to define some of the possible test cases if they are not aware of it. Furthermore, manual creation of test cases based on source codes is also high costing. This paper discusses a system that generates test cases automatically based on program source codes. This system is able to scan the program source codes, line by line, and check the syntaxes of the source codes. Then, the codes are parsed using the parser to generate the test cases based on detected tokens. The purpose of generating test cases automatically is to reduce the cost of testing the system.
Computer-assisted venous thrombosis volume quantification
Authors: John Puentes, Mounir Dhibi, Luc Bressollette, Bruno Guias, Basel Solaiman
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Venous thrombosis (VT) volume assessment, by verifying its risk of progression when anticoagulant or thrombolytic therapies are prescribed, is often necessary to screen life-threatening complications. Commonly, VT volume estimation is done by manual delineation of few contours in the ultrasound (US) image sequence, assuming that theVT has a regular shape and constant radius, thus producing significant errors. This paper presents and evaluates a comprehensive functional approach based on the combination of robust anisotropic diffusion and deformable contours to calculate VT volume in a more accurate manner when applied to freehand 2-D US image sequences. Robust anisotropic filtering reduces image speckle noise without generating incoherent edge discontinuities. Prior knowledge of the VT shape allows initializing the deformable contour, which is then guided by the noise-filtering outcome. Segmented contours are subsequently used to calculate VT volume. The proposed approach is integrated into a system prototype compatible with existing clinical US machines that additionally tracks the acquired images 3-D position and provides a dense Delaunay triangulation required for volume calculation. A predefined robust anisotropic diffusion and deformable contour parameter set enhances the system usability. Experimental results pertinence is assessed by comparison with manual and tetrahedron-based volume computations, using images acquired by two medical experts of eight plastic phantoms and eight in vitro VTs, whose independently measured volume is the reference ground truth. Results show a mean difference between 16 and 35 mm3 for volumes that vary from 655 to 2826 mm3. Two in vivo VT volumes are also calculated to illustrate how this approach could be applied in clinical conditions when the real value is unknown. Comparative results for the two experts differ from 1.2% to 10.08% of the smallest estimated value when the image acquisition cadences are similar.
A New Digital Watermarking Scheme Based on Text
Authors: Zhichao Yu, Xiaojun Liu
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In this paper, several technologies of text digital watermarking are studied, and they are categorized according to different embedding modes. On this basis, A text digital watermarking algorithm is designed and implemented. Text digital watermarking generates through some of the synonyms of the word in some position , and different copies has a different watermark. It also provided a preliminary laboratory test results, the results show that: the watermark has a strong robustness to the distortion caused by printing, phototypesetting, scan, fax and re-typing.
DRiMaP--A Model of Distributed Risk Management Process
Authors: Mira Kajko-Mattsson, Kristoffer Sjokvist, Joakim Soderstrom, Dag Krogdahl
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Distributed software development creates many challenges to the primary contractors having the responsibility of delivering high quality products to their customers. To tackle these challenges, organizations must have an efficient distributed development process in place. They must also effectively manage risks within this distributed environment. In this paper, we suggest DRiMaP - a model of distributed risk management. This model has been designed at IBM Sweden.
Color Image Digital Watermarking Algorithm Based on Singular Value Decomposition
Authors: Jianghua Deng
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

This paper proposes a color image digital watermarking method based on Singular Value Decomposition. Aiming at the binary text image's characteristics of simple pixel, complex texture and bad immunity of information concealment, a digital watermarking embedment location choosing method based upon Singular Value Decomposition has been put forward. This method divides binary text images into different DCT classes. Equivalence classes are further divided into different DCT subclasses according to each pixel's degree and texture changes between blocks. The method has strong resistance to attacks like filtering and zooming. Experimental results indicate that detection in the LL band is robust for one group of attacks, and detection in the HH band is robust for another group of attacks.
A Context-Aware Framework for Flowable Services
Authors: Roman Y. Shtykh, Yishui Zhu, Qun Jin
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

The paper first introduces the concept of flowable service, the basic idea of which is to organize circumjacent services in such a way so that they are perceived by an individual as those naturally embedded in his/her surrounding environment. It is achieved by seamless integration and provision of diverse services in an intuitive “flowable” way. For this, the mechanism responsible for service discovery, composition and provision has to have a good understanding of a user it serves to. We design a framework with a special focus on context-awareness tofind and integrate the circumjacent services thought to be needed by each individual at his/her current situation, and thus create an ambient service environment tailored to his/her particular needs and characteristics. Here introduce the framework, its components and process abstraction, and outline some major issues we have to face when implementing our approach.
Analysing potential field data using visibility
Authors: G. R. J. Cooper
Venue: Computers Geosciences (2005)

The viewshed of a topographic dataset is the region around a given observation point that is visible from that location. Most GIS packages allow its computation. It has many uses, such as in urban environment planning, or in analysing archaeological site data. The viewshed is used here as a data enhancement tool to aid in the interpretation of geophysical potential field data. The fraction of the area of a moving window visible from each point on the dataset (considered as if it were topography) is computed. Since this area changes if the observer is raised above the surface, its vertical derivative can also be computed. This derivative was found to be a useful method of enhancing subtle features, and is demonstrated on aeromagnetic and gravity datasets from South Africa.
Resource allocation in an OFDM-based cognitive radio system
Authors: Yonghong Zhang, Cyril Leung
Venue: IEEE Transactions on Communications (2009)

The problem of subcarrier, bit and power allocation for an OFDM based cognitive radio system in which one or more spectrum holes exist between multiple primary user (PU) frequency bands is studied. The cognitive radio user is able to use any portion of the frequency band as long as it does not interfere unduly with the PUs' transmissions. We formulate the resource allocation as a multidimensional knapsack problem and propose a low-complexity, greedy max-min algorithm to solve it. The proposed algorithm is simple to implement and simulation results show that its performance is very close to (within 0.3% of) the optimal solution.