Miracle-dz/UniFAR-FTUs huggingface dataset:
Collaborative Traffic Offloading for Mobile Systems

Due to the popularity of smartphones and mobile streaming services, the growth of traffic volume in mobile networks is phenomenal. This leads to huge investment pressure on mobile operators’ wireless access and core infrastructure, while the profits do not necessarily grow at the same pace. As a result, it is urgent to find a cost-effective solution that can scale to the ever increasing traffic volume generated by mobile systems. Among many visions, mobile traffic offloading is regarded as a promising mechanism by using complementary wireless communication technologies, such as WiFi, to offload data traffic away from the overloaded mobile networks. The current trend to equip mobile devices with an additional WiFi interface also supports this vision. This dissertation presents a novel collaborative architecture for mobile traffic offloading that can efficiently utilize the context and resources from networks and end systems. The main contributions include a network-assisted offloading framework, a collaborative system design for energy-aware offloading, and a software-defined networking (SDN) based offloading platform. Our work is the first in this domain to integrate energy and context awareness into mobile traffic offloading from an architectural perspective. We have conducted extensive measurements on mobile systems to identify hidden issues of traffic offloading in the operational networks. We implement the offloading protocol in the Linux kernel and develop our energyaware offloading framework in C++ and Java on commodity machines and
Modeling and simulation of morphogenesis by cell rearrangement

A mechanical model for studying tissue morphogenesis by directed cell neighbor change is proposed. The model describes cell rearrangements by accounting for the balance of forces between neighboring cells that are functionally coupled. It allows for the testing of assumptions and theories in a precise and rigorous manner incorporating known biological and physical principles. The model is applied to two embryological processes: epiboly in the killyfish Fundulus and notochord extension in the frog Xenopus. It is noted that changing model parameters, such as the boundary conditions of the mechanical properties of a motile or adhesive cell subpopulation, allows the model to be applied in a wide range of settings in developmental and cell biology. It can be used as a testbed for investigating the mechanical conditions underlying normal embryonic development and for investigating the cellular mechanical properties responsible for developmental abnormalities. <<ETX>>
Facial feature extraction and image-based face drawing

This paper describes algorithms to extract features of facial organs such as eyes, eyebrows, mouth, nose and borders of other parts. Based on these extracted organs, automatic face drawing is generated, which embodies the individual features that the face looks more likely to be so. At first face detection is implemented by using horizontal textures and eigenfaces. After that, the pair of irises are located using the Hough-transform and intensity valley correlation. Then other organs are extracted based on the skeleton characteristic of the face. For face drawing generating, contours are rendered with multi-values, facial skin color is smoothed, and features are strengthened in order to get impressive effects.
Contributions to privacy preserving with ring signatures

A ring signature is a cryptographic primitive that enables a signer to produce a signature without revealing his or her identity. In this thesis, we propose two ring signature schemes for privacy-preserving applications over the Internet. First we design a protocol that enables a ring signer to receive an acknowledgement from the verifier. We propose two constructions. With the basic construction, the verifier can send a message back to the original signer while keeping the latter’s identity hidden. Additionally, the verifier is assured that the signer is indeed the user in a group. We then extend our basic construction to a multi-party scenario. In the second construction, the verifier can discern a certain number of signers involved in the specific signature while their identities remain anonymous. We also investigate the possible applications of our schemes, such as in E-Commerce and Pay-TV. Then, we introduce the concept of identity-based anonymous designated ring signatures, which has not been studied before. This concept extends the existing notion of ring signatures in two ways: firstly, it allows a member of the ring to sign a message directed to a designated verifier. Secondly, we enable the concept of anonymous designated verifier. We show that it has useful applications in Peer-to-Peer networks and provide a construction based on bilinear pairings. Furthermore, we formulate a security model and prove the security of our proposed construction against a chosen message attack. We extend the scheme to construct a convertible version of the previous scheme, which enables a designated verifier to prove its participation in a particular session in case of dispute.
Fast detection and classification of defects on treated metal surfaces using a backpropagation neural network

A fast classifier based on a neural network is described which is the central part of an optical inspection system. Defects on treated metal surfaces are detected and classified by textural segmentation. The main purpose of this work is the development of an optical inspection system for a wide range of real-time applications. Therefore, the preprocessing of the image data is reduced to the calculation of gray-value histograms on a 10*10 pixel window. By using only eight gray-value classes in the histograms, an efficient reduction of the data is obtained. The histograms calculated on each window are presented to a three-layered perceptron net for defect detection and classification. This method is applied to a 100% surface inspection of rolling bearing metal rings. Depending on the defect class investigated the misclassification rate of the window classifier ranged from 1.5 to 11.5%. <<ETX>>
An Effective Flash Memory Manager for Reliable Flash Memory Space Management

We propose a new effective method of managing flash memory space for flash memory-specific file systems based on a log-structured file system. Flash memory has attractive features such as non-volatility and fast I/O speed, but it also suffers from inability to update in situ and from limited usage (erase) cycles. These drawbacks necessitate a number of changes to conventional storage (file) management techniques. Our focus is on lowering cleaning cost and evenly utilizing flash memory cells while maintaining a balance between these two often-conflicting goals. The proposed cleaning method performs well especially when storage utilization and the degree of locality are high. The cleaning efficiency is enhanced by dynamically separating cold data and non-cold data, which is called ‘collection operation. ’ The second goal, that of cycle-leveling, is achieved to the degree that the maximum difference between erase cycles is below the error range of the hardware. Experimental results show that the proposed technique provides sufficient performance for reliable flash storage systems. key words: flash memory, logging, cleaning algorithm, cycle leveling, data collection
A process for achieving comparable data from heterogeneous databases

The current state of health and biomedicine includes an enormity of heterogeneous data 'silos', collected for different purposes and represented differently, that are presently impossible to share or analyze in toto. The greatest challenge for large-scale and meaningful analyses of health-related data is to achieve a uniform data representation for data extracted from heterogeneous source representations. Based upon an analysis and categorization of heterogeneities, a process for achieving comparable data content by using a uniform terminological representation is developed. This process addresses the types of representational heterogeneities that commonly arise in healthcare data integration problems. Specifically, this process uses a reference terminology, and associated "maps" to transform heterogeneous data to a standard representation for comparability and secondary use. The capture of quality and precision of the "maps" between local terms and reference terminology concepts enhances the meaning of the aggregated data, empowering end users with better-informed queries for subsequent analyses. A data integration case study in the domain of pediatric asthma illustrates the development and use of a reference terminology for creating comparable data from heterogeneous source representations. The contribution of this research is a generalized process for the integration of data from heterogeneous source representations, and this process can be applied and extended to other problems where heterogeneous data needs to be merged.
A fuzzy simulated evolution algorithm for the driver scheduling problem

The paper presents a fuzzy simulated evolution algorithm for the public transport driver scheduling problem, which involves solving a set covering model. The novel scheduling algorithm incorporates the idea of fuzzy evaluation into simulated evolution, combining the features of iterative improvement and constructive perturbation, to explore solution space effectively and obtain superior schedules. Experiments with benchmark tests using data from the transportation industry demonstrate the strengths of the proposed algorithm in solving large size real-world driver scheduling problems. It is suggested that this approach might be suitable for other large-scale set covering problems.
Interruptions : using activity transitions to trigger proactive messages

The proliferation of mobile devices and their tendency to present information proactively has led to an increase in device generated interruptions experienced by users. These interruptions are not confined to a particular physical space and are omnipresent. One possible strategy to lower the perceived burden of these interruptions is to cluster non-time-sensitive interruptions and deliver them during a physical activity transition. Since a user is already “interrupting” the current activity to engage in a new activity, the user will be more receptive to an interruption at this moment. This work compares the user’s receptivity to an interruption triggered by an activity transition against a randomly generated interruption. A mobile computer system detects an activity transition with the use of wireless accelerometers. The results demonstrate that using this strategy reduces the perceived burden of the interruption. Thesis Supervisor: Stephen Intille Title: Research Scientist
The Complete Guide to Mmx Technology

From the Publisher: Intel's new MMX TM technologynow built into every Pentium and other Intel Desktop processorcan dramatically increase the performance of multimedia applications. This unique book,written by members of the Intel MMX architecture team,makes MMX technology understandable and accessible to all readers and provides a wealth of practical advice on using MMX technology to maximum advantagecompatibility features,expanded instruction set,code examples and programming utilities on an accompanying CD-ROM,optimization guidelines,tips on using MMX tools,and techniques for MMX coding. Let key members of Intel's MMX architecture team show you how to boost multimedia application performance! Don't let the MMX technology revolution leave you behind! Find out how to use Intel's new MMX instruction set,now being built into every microprocessor,to vastly improve the performance of multimedia and other computer-intensive applications. This instruction set,with its advanced SIMD (Single Instruction,Multiple Data) processing,achieves maximum throughput for your data. And this is the place to learn about it. Whether you are an applications or systems programmer who will be working with MMX technology every day or an end user who is just wondering what it's all about,this first-ever guided tour to the world of MMX technology,conducted by key members of Intel's top MMX technology architecture team,will give you the knowledge you need. The authors not only explain the underlying concepts and operation of MMX in a lively and highly readable way,but they also provide a wealth of technical details on using MMX technology to maximum advantage. The book includes: a complete overviewof MMX technologydesign considerations,architectural guidelines,data types,and instructions; a discussion of compatibility featuresaliasing,OS system invisibility,and exception structure; a description of the instruction set,with code examples and programming utilities on an accompanying CD-ROM; coding samples,optimization guidelines,and techniques for writing MMX technology code in the IA-32 environment. If you build,market,or use PC multimedia applications3D graphics,videoconferencing,interactive video,speech recognition,animation,games,virtual reality,and morethis book can dramatically improve your understanding of MMX technology and give you the inside technical knowledge you need to achieve maximum performance.
Using Decision Trees to Extract IDS Rules from Honeypot Data

It has been almost two decades since the first honeypot was proposed. Despite that, although there are several studies involving network traffic data, few are those dedicated to extract knowledge from honeypot data. The present paper uses data collected by honeypots to create rules and signatures for intrusion detection systems. The rules are extracted from decision trees constructed based on the data of real honeypots installed on internet connections without any filter. The results of the experiments showed that the extraction of rules for an intrusion detection system is possible using data mining techniques, in particular decision trees. The technique proposed allows the analyst to summarize the data into a tree, where he/she can identify problems and extract rules to help reducing or even mitigate the security problems pointed out by the honeypot.
让你一见钟情的电子宠物——SONY AIBO ERS-7

S0NY最新一代AIBO（爱宝)机器狗——ERS-7上市了。 相比前几代产品，它在外形上有了不少变化，首先，它的外观颜色改为亮银色，看起来更加时尚一些，其次，它的背部采用了半透明的塑料外壳，你可以透过它看到内部密密麻麻排列着的机械部件和电子线路。 从人性化的角度来说，ERS-7比前几代AIB0机器狗更加灵巧、可爱；而从技术的角度来说，这得归功于它采用了更快的CPU、更高像素的摄像头以及更复杂的机械和程序。
Health Management Information Systems for Resource Allocation and Purchasing in Developing Countries

This paper begins with the premise that it is not possible to implement an efficient, modern RAP strategy today without the effective use of information technology. The paper then leads the architect through the functionality of the systems components and environment needed to support RAP, pausing to justify them at each step. The paper can be used as a long-term guide through the systems development process as it is not necessary (and likely not possible) to implement all functions at once. The paper's intended audience is those members of a planning and strategy body, working in conjunction with technical experts, who are charged with designing and implementing a RAP strategy in a developing country.
Speech Coding and Synthesis

An introduction to speech coding, W.B. Kleijn and K.K. Paliwal speech coding standards, R.V. Cox linear-prediction based analysis-by-synthesis coding, P. Kroon and W.B. Kleijn sinusoidal coding, R.J. McAulay and T.F. Quatieri waveform interpolation for coding and synthesis, W.B. Kleijn and J. Haagen low-delay coding of speech, J.-H. Chen multimode and variable-rate coding of speech, A. Das et al wideband speech coding, J.-P. Adoul and R. Lefebvre vector quantization for speech transmission, P. Hedelin et al theory for transmission of vector quantization data, P. Hedelin et al waveform coding and auditory masking, R. Veldhuis and A. Kohlrausch quantization of LPC parameters, K.K. Paliwal and W.B. Kleijn evaluation of speech coders, P. Kroon a robust algorithm for pitch tracking (RAPT), D. Talkin time-domain and frequency-domain techniques for prosodic modification of speech, E. Moulines and W. Verhelst nonlinear processing of speech, G. Kubin an approach to text-to-speech synthesis, R. Sproat and J. Olive the generation of prosodic structure and intonation in speech synthesis, J. Terken and R. Collier computation of timing in text-to-speech synthesis, J.P.H. van Santen objective optimization in algorithms for text-to-speech synthesis, Y. Sagisaka and N. Iwahashi quality evaluation of synthesized speech, V.J. van Heuven and R. van Bezooijen.
Modern Cryptography: Theory and Practice

Many cryptographic schemes and protocols, especially those based on public-keycryptography, have basic or so-called "textbook crypto" versions, as these versionsare usually the subjects for many textbooks on cryptography. This book takes adifferent approach to introducing cryptography: it pays much more attention tofit-for-application aspects of cryptography. It explains why "textbook crypto" isonly good in an ideal world where data are random and bad guys behave nicely.It reveals the general unfitness of "textbook crypto" for the real world by demonstratingnumerous attacks on such schemes, protocols and systems under variousreal-world application scenarios. This book chooses to introduce a set of practicalcryptographic schemes, protocols and systems, many of them standards or de factoones, studies them closely, explains their working principles, discusses their practicalusages, and examines their strong (i.e., fit-for-application) security properties, oftenwith security evidence formally established. The book also includes self-containedtheoretical background material that is the foundation for modern cryptography.
Topic detection in online chat

Abstract : The ubiquity of Internet chat applications has benefited many different segments of society. It also creates opportunities for criminal enterprise, terrorism, and espionage. This thesis proposes statistical Natural Language Processing (NLP) methods for creating systems that would detect the topic of chat in support of larger NLP goals such as information retrieval, text classification and illicit activity detection. We propose a novel method for determining the topic of chat discourse. We trained Latent Dirichlet Allocation (LDA) models on source documents and then used inferred topic distributions as feature vectors for a Support Vector Machine (SVM) classification system. We constructed LDA models in three ways: We considered the collective posts of authors as documents, hypothesizing that we could detect the topic physics given only one side of the conversation. The resultant classifiers obtained F-scores of 0.906. Next, we considered individual posts as documents, hypothesizing we could detect physics posts. The resultant classifiers obtained F-scores of 0.481. Finally, we considered physics textbook paragraphs as documents, hypothesizing that we could determine the topic of an author or a post based on an LDA model created from a textbook and a sample of noisy chat. The resultant classifiers obtained F-scores of 0.848 and 0.536 respectively.
VoIP Features Oriented Uplink Scheduling Scheme in Wireless Networks

the QoS parameter mapping the the VoIP systems statistically the peak data rate of VoIP services calculates the QoS parameters. the to the VoIP trafﬁc the statistical the QoS parameters the of the VoIP services the of of the trafﬁc the features of the VoIP service. a cross-layer QoS parameter mapping scheme the information of the VoIP speech codec the (SDP) the QoS for VoIP scheduling
Web Services Addressing (WS- Addressing)

WS-Addressing provides transport-neutral mechanisms to address Web services and http://www.w3. org/Submission/2004/SUBM-w. 1 7/29/2009 7:50 PM messages. Specifically, this specification defines XML [XML 1.0, XML Namespaces] elements to identify Web service endpoints and to secure end-to-end endpoint identification in messages. This specification enables messaging systems to support message transmission through networks that include processing nodes such as endpoint managers, firewalls, and gateways in a transport-neutral manner. Status of this Document This section describes the status of this document at the time of its publication. Other documents may supersede this document. By publishing this document, W3C acknowledges that BEA, IBM, Microsoft, SAP, and Sun Microsystems, Inc. have made a formal submission to W3C for discussion. Publication of this document by W3C indicates no endorsement of its content by W3C, nor that W3C has, is, or will be allocating any resources to the issues addressed by it. This document is not the product of a chartered W3C group, but is published as potential input to the W3C Process. Publication of acknowledged Member Submissions at the W3C site is one of the benefits of W3C Membership. Please consult the requirements associated with Member Submissions of section 3.3 of the W3C Patent Policy. Please consult the complete list of acknowledged W3C Member Submissions.
(ABSTRAK) USING VIDEO CLIPS TO IMPROVE STUDENTS’ WRITING SKILLS OF NARRATIVE TEXTS(An Experimental Study at the Eleventh Grade Students of SMA Negeri 2 Mranggen in the Academic Year of 2010/2011)

This topic of this study is teaching writing narrative texts to the eleventh grade students of SMA Negeri 2 Mranggen by using video clips as teaching media. The objectives of the study are to find out the improvement of students’ writing skills of narrative texts after taught by using video clips and without using video clips and also to find out the significant difference between writing achievement of students who were taught writing narrative texts using video clips and those who were taught without using video clips. A quasi experimental research was conducted to achieve the objectives of the study. The population of the study was the eleventh grade students of SMA Negeri 2 Mranggen in the academic year of 2010/2011. As the subjects in the study, there were 37 students in the experimental group and the other 37 students in the control group. The video clips which were used to teach the experimental group were video clips coming from Avril Lavigne entitled Alice (Underground) and Emily Osment entitled Once Upon a Dream. Those video clips have story lines that can be used as a source to write a narrative text. The first step of the experiment was giving a pretest to the students of the both group. The students were asked to write a narrative text about Cinderella. After giving the pretest, the treatment was given to the students. The first video clip which was shown to the experimental group entitled Alice (Underground) and the second video clip was entitled Once Upon a Time. The next step after giving the treatment was giving the posttest to the students. The results of the study show that the experimental group got better score than the control group. For the control group, the average score of pretest score was 66.73 and the average score of posttest score was 72.81, while for the experimental group, the average score of pretest score was 67.81 and the average score of posttest score was 76.89. Next, the writer did two kinds of the t-test. They were the t-test for pretest score and the t-test for the posttest score. From the t-test computation of pretest score, it shows that there was no significant difference between the experimental group and the control group because tvalue was in the Ho area (tvalue ≤ ttable = 1.17 ≤ 1.99). Then, after the treatment was given, from the t-test computation of the posttest score, it shows that there is significant difference between the experimental group and the control group because tvalue is not in the Ho area (tvalue > ttable = 3.029 > 1.99).